Cloud Based Intelligent Decision Support System for Disaster Management Using Fuzzy Logic

Field of cloud computing is an emerging field in computer science. Computational intelligence and Decision support systems (DSS) have to gain concern as a computing solution to planned and unplanned problems of organizations in order to progress decision-making tasks in a better way. In today era, Disaster management is a big problem. To overcome this problem, a real time computation is required. Cloud computing is a tool to offer promising support to decision support system in a real time environment. In this paper, a fuzzy based decision support system is proposed to meet all the requirements using fuzzy logic inference system

MUNICIPAL SOLID WASTE MANAGEMENT CRISES IN THE DEVELOPING COUNTRIES: A CASE STUDY OF PESHAWAR CITY

Due to the speedy increase in population, the solid waste management issues are becoming a challenge for the developing countries. Unhealthy collection, improper transportation and open dumping of the Municipal Solid Waste (MSW) is causing a serious threat to the environment and the people residing in the surroundings. In Pakistan, unsustainable way of solid waste management, lack of the authorities to deal with effectively with the MSW and least vision of the society towards the emerging issues of the solid waste is depicting the worst situation in the country. To highlight the significant Municipal Solid Waste Management (MSWM) issues in the developing countries of the world, Peshawar city has been selected as a case study. Peshawar city is experiencing serious environmental issues due to speedy urbanization pace, rapid industrialization, deficiency of the authorities to manage the solid waste issues properly and lack of public awareness towards the challenging issue. Open dumping of the MSW on the open lands, utilized as dumping sites are responsible for the environmental problems increasing day by day. The research findings clearly reveal the MSWM crises in the city. Improper MSWM practices are not only creating air, land and water pollution but it also causes the blockage of open drains, smaller canals and ruining the aesthetics of the city

Violence Against Healthcare Professionals in Nishtar Medical University Hospital Multan, Pakistan: A Descriptive Cross-Sectional Study

Objective This study aims to identify the risk factors of physical violence against healthcare professionals in Nishtar Hospital Multan Pakistan. Study design Descriptive cross-sectional study Place and duration of study Department of Psychiatry and Behavioral Sciences, Nishtar Medical University Multan, Pakistan. The time span of study was from January 2016 to December 2017. Method A non-probabilistic strategy was used to select 200 healthcare professionalswho were serving at Nishtar hospital Multan Pakistan. We first obtained lists of all healthcare workers employed at our university hospital from hospital management and human resource department. We combined these lists, assigned a number to the name of each worker, and selected an average of 200 personnel from our university hospital. The study samples included doctors, nurses, and paramedical staff (e.g., medical technicians and administrative staff). All the members of study population were well informed of the purposes and methods of the study. Then we distributed the questionnaire. All the healthcare professionals responded as per their opinion and experiences and submitted it to a specified box. The dara were retrieved and analyzed by using computer program SPSS 20 version. Results Out of total study population a total of eighty six (43%) healthcare professionals reported that they were physically attacked in their hospital in the previous 12 months. Most of the time this illegal action was performed by the relatives of the patients (88 %), followed by the patient (12%); 73.6% of perpetrators young aged between 20 to 40 years of age. Pertaining to physical violence incidents, approximately 91% (n = 182) resulted in a physical injury, and 55.4% of respondents took two or three days of sick leave after sustaining that physical injury. Surprisingly, the reporting of workplace violence in hospitals to law enforcing agencies and higher authorities of hospital administration was considerably low (12.4%). Most of the healthcare professionals (87%) did not receive training on how to avoid workplace violence (n=174). The study showed that general nurses, aged 35 years or younger, were more likely to experience physical violence. Healthcare professionals with direct physical contact (washing, turning, lifting) with patients had a higher risk of physical violence compared to other health care workers. The lengthy and cumbersome legal and administrative delays in the procedures for reporting workplace violence were a major cause for physical violence. At work place, the reporting of incidence after psychological violence was protective than to waiting until an instance of physical violence takes palce. Conclusions Physical violence in hospitals is an occupational hazard for public health concern. Policy makers and higher authorities should introduce legal procedures and intervention to cope with this serious issue

Synthesis and Characterization of Novel Nanobifiller filled Epoxy Anti-Corrosive Nano-Organic coating for High Performance Automotive Applications

Nanobifiller filled epoxy, nylon 66 (PA 66) and their blend-based nanocomposites were prepared by solution casting method to produce anti-corrosive and abrasion resistant epoxy nanocoating for aerospace and automotive applications. Nanobifiller was composed of Bentonite clay modified organically with quaternary salt of threonine amino acid and nanodiamonds (ND). Various techniques were implied to investigate anticorrosive properties of polymeric nanocomposites. These techniques include salt spray analysis and electrochemical impedance spectroscopy (EIS). It was observed that epoxy nanocomposites prepared are much resistant to corrosion as compared to pristine epoxy samples with improved barrier properties

Bases farmacológicas del uso de Acorus calamus L. en enfermedades inflamatorias y las vías de transducción de señales subyacentes

Acorus calamus L. se utiliza como remedio anti-inflamatorio en el sistema tradicional de la medicina en Pakistán y la India. Este  estudio fue diseñado para explorar el mecanismo anti-inflamatorio de Acorus calamus L. y sus vías de señalización subyacentes. Fracciones  acuosa, butanólica y de n-hexano de Acorus calamus se ensayaron frente a la ciclooxigenasa (COX) y de la lipoxigenasa (LOX) mediada  por la producción de eicosanoides por el ácido araquidónico (AA). La fracción butanólica de Acorus calamus, pero no las fracciones acuosas  y de n-hexano, inhibieron la producción de COX mediada por tromboxano B2 (TXB2) y el producto lipoxigenasa 1 (LP1) - un metabolito  de la vía de LOX, 12 - (ácido hidroxieicosatetraenoico) HETE - otro producto de la ruta de LOX no fue afectado por  las tres fracciones. La  fracción butanólica de Acorus calamus mostró una fuerte inhibición contra la agregación plaquetaria inducida por AA. La investigación de  las vías de señalización subyacentes reveló que la fracción butanólica inhibió la fosfolipasa C (PLC) y la vía en las plaquetas, probablemente  actuando sobre la proteína quinasa C (PKC). Fracciones acuosas y de n - hexano de Acorus calamus no fueron eficaces contra ningún  agonista de plaquetas. Este estudio muestra que la fracción butanólica de Acorus calamus posee componentes que inhiben el metabolismo  del AA y la agregación plaquetaria a través de múltiples vías

Comparison of Features of Corona Virus in Confirmed and Unconfirmed Patients In Lahore

Introduction: Coronavirus has spread rapidly in Pakistan. These patients were kept at quarantine facilities on suspicion, even before RT-PCR was done. We were able to collect clinical, laboratory, and management features from them.  Objective: To assess the features of Corona confirmed and unconfirmed patients, and compare them. It could help in deciding if confirmed and unconfirmed patients were correctly identified and managed appropriately. Material and Methods: Retrospective, Descriptive, Crossectional study between 8th April to 30th April 2020. Patient data was collected from different sites retrospectively, on a Performa. Clinical, Laboratory, and Management data as collected. It was analyzed on SPSS 23. All patients in quarantines and ICU were included, irrespective of their corona PCR status, if the treating physicians had a strong suspicion. Home quarantine and less than 15-year old patients were excluded. Results: Clinical features showed more preponderance for males and smokers. Chronic disease patients were also significantly involved. Fatigue, nasal congestion, runny nose, sickness, and vomiting were more common in confirmed patients. CURB 65 scores 3 and 4 were more in unconfirmed patients. CT involvement was more common in unconfirmed patients as was high white cells and neutrophils. More patients had mechanical ventilation in the unconfirmed group, and they also had more secondary infections and shock. Antibiotic use was more common in the confirmed group. Conclusion: Corona was more common in males and smokers. Though fever and cough were common, the presence of fatigue, runny nose, nasal congestion sickness, and vomiting discriminated confirmed patients. Antibiotics should be used irrespective of RT-PCR results, especially if CT showed an abnormality. &nbsp

Impact of Knowledge Sharing and Knowledge Retention on Employees Development through the Mediation of Sustainable Competitive Advantage and Moderation of Transformational Leadership

In advanced time, firms realize that procuring the past information and sharing them among the representatives will increment the improvement and development of the employees and it is the path to pick up a Sustainable Competitive Advantage in a showcase. The study points to center on the development of the workers through supporting the competitive edge. This could be done by legitimate utilize of past information and encounter which is procured and shared among the individuals of an organization. Leaders also play an imperative part within the Knowledge Sharing and Retaining but Transformational Leaders does not make an energetic environment through which they can offer assistance to form sound learning handle. It is since Transformational Leaders frequently don't know almost the conduct and states of mind of the representatives, their needs and wishes. This study is quantitative and close-ended questions were utilized to expound the relationship of the factors. Information was collected from a test estimate of 200 respondents of the telecommunication sector. The regression technique was used to test the hypothesis relationship. The findings of this study show that Knowledge Sharing, Knowledge Retention has a significant positive relation with Employee Development and Sustainable Competitive Advantage mediates significantly between them. While, Transformational Leadership does not significantly moderate the relation between Knowledge Sharing, Knowledge Retention, and Sustainable Competitive Advantage. Further, it describes limitations and the direction for the future. Keywords: Knowledge Sharing, Transformational Leadership, Sustainable Competitive Advantage, Knowledge Management, Employee Development JEL Classifications: M1, L1, M0 DOI: https://doi.org/10.32479/irmm.993

Multi-objective optimization of turning titanium-based alloy Ti-6Al-4V under dry, wet, and cryogenic conditions using gray relational analysis (GRA).

In modern manufacturing industries, the importance of multi-objective optimization cannot be overemphasized particularly when the desired responses are differing in nature towards each other. With the emergence of new technologies, the need to achieve overall efficiency in terms of energy, output, and tooling is on the rise. Resultantly, endeavor is to make the machining process sustainable, productive, and efficient simultaneously. In this research, the effects of machining parameters (feed, cutting speed, depth of cut, and cutting condition including dry, wet, and cryogenic) were analyzed. Since sustainable production demands a balance between production quality and energy consumption, therefore, response parameters including specific cutting energy, tool wear, surface roughness, and material removal rate were considered. Taguchi-gray integrated approach was adopted in this study. Multi-objective function was developed using gray relational methodology, and its regression analysis was conducted. Response surface optimization was carried out to optimize the formulated multi-objective function and derive the optimum machining parameters. Concurrent responses were optimized with best-suited values of input parameters to make the most out of the machining process. Analysis of variance results showed that feed is the most effective parameter followed by cutting condition in terms of overall contribution in multi-objective function. The proposed optimum parameters resulted in improvement of tool wear and surface roughness by 30% and 22%, respectively, whereas specific cutting energy was reduced by 4%