Importance Of Assessment Criteria Research Articles

A Novel Group Decision Making Model to Compare Online Shopping Platforms

Over the years, E-commerce industry has been witnessing a phenomenal growth, thanks to rapid technological advancement in Industry 4.0. There has been a standout surge in the use of various online shopping platforms (OSP) for daily use. The recent pandemic has accelerated the growth trajectory and made a transformational change in the digital commerce landscape. As a result, there has been a proliferation of OSPs in the competitive domain. It is therefore pertinent to address the questions: How do the customers select their favorite OSP? To what extent the OSPs differ based on consumers’ preferences? The present work addresses these questions by proposing a novel group decision making framework. The ongoing study provides several innovative extensions of multi criteria decision making models like Borda count, criteria importance assessment (CIMAS), modified preference selection index (MPSI), and root assessment method (RAM). In this paper, the researchers provide a novel use of the Borda count method, integrated with CIMAS for determining criteria weights utilizing ranking of the criteria. Further, a novel extension of MPSI and RAM has been made with multiple normalizations. In this paper, the authors demonstrate a rare combination of vector and non-linear normalization using the Heron mean. The present paper derives the final criteria weights by combining Borda count, CIMAS and multi-normalization based MPSI (MNMPSI) using Bayesian logic. The criteria are selected based on Uses and Gratification theory (UGT). The findings reveal that interactive app interface and features (C16), user-friendly interface and search (C13), convenience in shopping (C14), product availability and variety (C12) and discounts and offers (C8) exert significant influence in selecting the OSP. Further, it is observed that Flipkart (A2) and Amazon (A1) are the top performers in the eyes of the users. The stability and reliability of the proposed methodology are examined by conducting a sensitivity analysis and comparing with several other models. The robustness of the proposed methodology and practical relevance of the findings of the present work shall provide notable impetus to the analysts and strategic decision-makers.

A picture fuzzy CIMAS-ARTASI model for website performance analysis in human resource management

The central emphasis of human resource management resides in the precise delineation of job responsibilities, engaging in systematic inquiry to identify well-suited candidates, and discerningly electing the most qualified individual from the pool whose qualifications align with the job description. The selection of a well-suited candidate is dependent on the creation of an appropriate candidate pool. Digital platforms are preferred over traditional approaches to reach human resources. The main objective of this research is to identify the most suitable digital platform for posting job advertisements based on website performance. The multiple-attribute group decision-making approach is adopted in this research, considering both qualitative and quantitative criteria. A decision support system for website selection is developed, where expert importance levels are calculated based on picture fuzzy sets (PFS). The weight levels of criteria are determined using the introduced PFS-based criteria importance assessment (CIMAS) method. The ranking of websites is calculated using the proposed PFS-based alternative ranking technique based on adaptive standardized intervals (ARTASI) method. These methods are hybridized into the PFS-CIMAS-ARTASI model. Additionally, an algorithm for this hybrid model is developed. A case study is conducted to demonstrate the applicability of the PFS-CIMAS-ARTASI hybrid model for website performance calculations. Robustness tests based on various sensitivity analysis scenarios are performed. The research results indicate that PFS-CIMAS-ARTASI is both applicable and robust. Comprehensive managerial implications are presented and elaborated on.

A single-valued neutrosophic CIMAS-CRITIC-RBNAR decision support model for the financial performance analysis: A study of technology companies

Financial performance stands as a fundamental performance indicator that reflects companies' current financial conditions, providing information to investors and stakeholders about companies' financial well-being. In this research, a decision support system is developed for identifying the financial performance of companies traded on stock exchanges. This decision support system is based on a multicriteria decision-making (MCDM) approach and neutrosophic logic. The research introduces a novel method for calculating and ranking financial performance, using financial ratio indicators as selection criteria. The importance levels of financial ratio indicators are weighted through two different approaches. In the first approach, expert opinions and criteria importance assessment (CIMAS)-based on single-valued neutrosophic (SVN) sets are utilized for calculation. In the second approach, criteria importance through intercriteria correlation (CRITIC)-based on reference-based normalization processes is employed for criteria weighting. Subsequently, the results of the two criterion weightings are combined to calculate the final criterion weights. The SVN reference-based normalization alternative ranking (RBNAR) method is presented for ranking companies based on their financial performance. Thus, SVN-CIMAS-CRITIC-RBNAR is developed and its algorithm is presented. The novel hybrid decision support model is applied to a case study of technology companies traded on the Borsa Istanbul. The research results support the applicability of the SVN-CIMAS-CRITIC-RBNAR hybrid method. The results of the case study and sensitivity analyses affirm the applicability and robustness of the SVN-CIMAS-CRITIC-RBNAR hybrid model. The research provides detailed implications and insights for financial managers.

A narrative review on concept of Bala and immunity in Ayurveda physiology

Bala in Ayurveda physiology is a multidimensional factor that refers to physical and psychological strength and the ability produced in response to antigen exposure and resistance against the manifestation of disease. It has also been synonymously used for components providing strength, nourishment, and stability to the body such as Oja, Vyadhikshamatva, Balya, Sara, Balavriddhikara Bhava, Prakrita Sleshma. The Bala of a person is determined by a complex interaction of multifactor such as Balavriddhikara Bhava, Dhatu Sarata, Prakriti, indulgence in dietary and behavioural activities, inherent qualities, etc. Further, it has also been opined that the Bala of a person cannot be assessed by just observing his body physique, as it has been seen that a person having a well-formed body does not always have good strength. In contrast, a person with a lean body may have excellent stability. As the Bala of a person serves as an important criterion for assessment of the severity as well as prognosis of disease, there is a need for the development of objective parameters for its assessment and implication in clinical practices.

Management of Locally Advanced Unresectable or Metastatic Urothelial Carcinoma: Expert Opinion from an Indian Panel via Delphi Consensus Method

Introduction Currently, there are no guidelines for the management of locally advanced unresectable or metastatic urothelial carcinoma (mUC) from an Indian perspective. There is a lack of consensus on the utility of treatment options in first-line (1L) and second-line (2L) settings, especially in cisplatin- and platinum-unfit mUC patient subgroups. Objective This articles aims to develop evidence-based practical consensus recommendations for the management of mUC in Indian settings. Methods Modified Delphi consensus methodology was considered to arrive at a consensus. An expert scientific committee of 15 medical oncologists from India constituted the panel. Twelve clinically relevant questions were grouped into five categories for presentation and discussion: (1) cisplatin and platinum ineligibility criteria; (2) programmed death ligand 1 and fibroblast growth factor receptor (FGFR) testing in mUC patients; (3) treatment options in 1L settings; (4) role of switch maintenance; and (5) treatment options in 2L. Statements that reached high (≥ 80%) and moderate (60–79%) levels of consensus in the first round (electronic survey) did not undergo the second Delphi round. The questions that received a low level of consensus (< 60%) were discussed during the virtual meeting. Results Renal impairment (creatinine clearance [CrCl] < 60 mL/min) and New York Heart Association class 3 heart failure are important assessment criteria for determining cisplatin ineligibility. Patients are unfit for any platinum-based chemotherapy in case of Eastern Cooperative Oncology Group performance status> 3 or severe renal impairment (CrCl < 30 mL/min). Gemcitabine and platinum with cisplatin over carboplatin were preferred in 1L settings. In patients unfit for cisplatin-based regimens, carboplatin–gemcitabine chemotherapy was preferred over immunotherapy (atezolizumab or pembrolizumab). Selected patients who are platinum ineligible may be considered for immunotherapy. Post-induction chemotherapy, those who do not progress may be strongly considered for avelumab maintenance. Experts recommended erdafitinib in FGFR-positive mUC patients in 2L settings. In FGFR-negative patients, immunotherapy (pembrolizumab, nivolumab, or avelumab) may be preferred over chemotherapy (paclitaxel, docetaxel, or vinflunine). Enfortumab vedotin and sacituzumab govitecan may be considered for further lines of therapy. Conclusion Expert panel consensus will offer expert guidance to oncologists/clinicians on the management of mUC in Indian settings. Key Points

Role of Ninth Month Garbhini Paricharya as Partus Preparatory for easy and safe Delivery: A Critical Review

Pregnancy is women’s crowning creative experience of lifetime. Giving birth is an ecstatic, jubilant adventurous experience which brings a new life to the world. Pregnancy and labor have been an essential part of human existence for millennia but unfortunately the experience has not been so easy for all women. Every new mother aspires that end of this beautiful journey should be safe, smooth and comfortable with minimum pain, agony and aids. The well established Bishop’s score (BS) is most important criteria for assessment of cervix with a BS of 6 or less indicating an unfavorable cervix and a score of 8 or more a favorable one. On screening the Garbhini paricharya regimen specially month wise regimen mentioned in Ayurveda classics, it was found that, this regimen is highly scientific in terms of modern medical science for birth preparedness or to achieve Sukhprasava. From ninth month onwards, Acharya has mentioned to give Anuvasan basti i.e., medicated enema of oil medicated with Madhura skandha drugs along with Yoni Pichu (vaginal tamponing) of same oil. Therapies advised in the form of Anuvasana basti and Yoni pichu have potential of inducing effective cervical ripening (favorable Bishop’s score), efficient myometrial activation required for the onset of labour by virtue of its essential fatty acids, phytoestrogens and flavanoid content. So, it is high time to pave way towards Ayurveda and adopt holistic safe birth preparedness procedures for easy parturition and healthy obstetric outcome.

Voting Ensemble Approach for Enhancing Alzheimer's Disease Classification.

Alzheimer’s disease is dementia that impairs one’s thinking, behavior, and memory. It starts as a moderate condition affecting areas of the brain that make it challenging to retain recently learned information, causes mood swings, and causes confusion regarding occasions, times, and locations. The most prevalent type of dementia, called Alzheimer’s disease (AD), causes memory-related problems in patients. A precise medical diagnosis that correctly classifies AD patients results in better treatment. Currently, the most commonly used classification techniques extract features from longitudinal MRI data before creating a single classifier that performs classification. However, it is difficult to train a reliable classifier to achieve acceptable classification performance due to limited sample size and noise in longitudinal MRI data. Instead of creating a single classifier, we propose an ensemble voting method that generates multiple individual classifier predictions and then combines them to develop a more accurate and reliable classifier. The ensemble voting classifier model performs better in the Open Access Series of Imaging Studies (OASIS) dataset for older adults than existing methods in important assessment criteria such as accuracy, sensitivity, specificity, and AUC. For the binary classification of with dementia and no dementia, an accuracy of 96.4% and an AUC of 97.2% is attained.

RANKING FACTORS THAT AFFECT SATISFACTION AND MOTIVATION OF EMPLOYEES USING THE PIPRECIA METHOD

Motivating employees is a crucial factor in the use and development of human resources and their focus on achieving organizational goals, increasing satisfaction, retaining quality people, encouraging creativity, and eliminating all forms of counterproductive behavior. Through a series of activities, managers can increase individual development needs, making the objective situation more demanding. Through the example of the generation we paid attention to, Generation Y (1981 - 2000) is often called Millennials and Generation Z, which enters the labor market as the youngest, after millennials. The task of human resource managers is to make each member feel involved in organizational culture in the right way and to feel valued. Therefore, a multicriteria approach based on the application of PIvot has been applied in this paper Pair-wise Relative Criteria Importance Assessment - PIPRECIA method. A detailed review of the literature defines a list of factors and relevant subfactors evaluated by three Generation Y decision-makers and three Generation Z decision-makers. The obtained results are relevant and authoritative, thus unequivocally confirming the usefulness and applicability of the proposed approach.

383 Introduction of a Burns Admission Proforma to Improve Patient Admission Clerking and Management

Abstract Introduction Patients who suffer burns present with a variation in the cause, depth, and size of their burns. A number of factors are important in determining the successful management of these patients such as age, cause, time since burn, first aid, co-morbidities, medication, burn size, depth and area, associated injuries, and social circumstances. Appropriate documentation, assessment, and examination in order to guide treatment is therefore imperative to good management and positive outcomes. We performed an audit of admission documentation to our burns unit and introduced a proforma to determine whether there was an improvement in important assessment criteria in order to enhance patient care. Method We retrospectively assessed burns admission documentation in 25 patients recently admitted against important assessment criteria. We then introduced a burns admission proforma to the unit and collected the results of 25 further patients in which the proforma was used. Results Introduction of the proforma showed an improvement in documentation, examination, and recorded management in almost all areas assessed, excluding allergies where there was a reduction. Conclusions Use of a proforma is beneficial in enhancing patient admission documentation and assessment, therefore directing appropriate management by focusing on all areas of patient care. However, the content of the proforma results in adherence to the assigned assessment parameters with limited deviation. Therefore, it is important when using a proforma to include all areas which are important to assessment otherwise they may be overlooked. Their use could be expanded to local emergency departments to ensure appropriate initial assessment, resuscitative management, and referral.

An alternating renewal process to model constellation availability

Constellation availability is an important assessment criteria of a constellation usually modeled with the assumption of the Markov property. We show this assumption does not hold for the time to long-term outage distribution of GPS satellites. In this paper, we propose an alternate method to calculate slot availability by modelling the outage process as an alternating renewal process. This proposed method avoids the assumption of the Markov property. The method is then validated against the slot availability data from the GPS 24 constellation, where both long-term and short-term outages are shown to approximate independent alternate renewal processes. In addition, the similarities of various constellation state probabilities with the binomial distribution based on average slot availability are shown. Using the model, future constellation availability performance can be estimated directly from historical data and also provide accurate estimates of the expected number of satellite replacements.

Qualitative Plankton Diversity of Two Carp Culture Ageing Ponds of LNMU Campus Darbhanga, India

Plankton diversity is an important criteria for assessment of the water quality. In this study we tried to assess the plankton species diversity in two ponds of LNMU, Campus Darbhanga viz. Anandbag pond and Manokamna Temple pond. Plankton diversity of both ponds were recorded from January 2018 to June 2018. A total three classes of phytoplankton and Zooplankton were recorded which contain 18 phytoplankton species and 14 Zooplankton species from both ponds. Out of which 9 species of phytoplankton and 11 species of Zooplankton were common in both ponds. Anandbag pond alone had 12 species of phytoplankton and 12 species of Zooplankton. Manokamna Temple pond had 15 species of phytoplankton and 13 species of zooplankton. Manokamna Temple pond was rich in phytoplankton as well as Zooplankton. A pivotal relationship was observed between phytoplankton and zooplankton diversity.

Perception of nurses regarding family needs of critically ill patients in a tertiary hospital of Kathmandu: A cross-sectional study

Background: Getting serious illness and being admitted in critical care unit is always stressful to patient and family members. Meeting the needs of family members of patients in the intensive care unit is a primary responsibility of intensive care unit staff and an important criterion in assessment of quality of care.
 Objectives: The aim of this study was to assess the family members’ needs of critically ill patients as perceived by nurses.
 Methodology: A descriptive cross sectional study was conducted among 50 nurses from different critical care unitsof Kathmandu Medical College Teaching Hospital using purposive sampling technique. Structured questionnaire was developed by referring to “Critical Care Family Needs Inventory”in our context for data collection and collected data was analyzed by using Statistical Package for Social Sciences version 16.
 Results: The mean age of the respondents was 24.98 ± SD 2.77.Regarding education and experience, 58% respondents had proficiency certificate level and 42% had bachelor level education and mean working experience in critical care unit was 37.54 months. Regarding the importance of family needs, 86% nurses perceived “explanation about the critical care unit environment before admitting the patient in critical care unit” as very important need for the relatives. Likewise, 58% nurses perceived “to know which staff members could give what type of information” and “to be alone at any time” as the least important needs.
 Conclusion: The study found that clear explanation about the critical care environment to the relatives is very important to gain co-operation from them in treatment of critically ill patients. Hence, staff of critical care unit needs to be aware in meeting the needs of relatives.

Assessment System for Sustainable Buildings of the German Government (BNB): Calculation tool for the ventilation rate and the resulting carbon dioxide concentration in the ambient air

An important criterion for Assessment of the sustainability of buildings owned and occupied by the Federal Government is the indoor air quality. The stated aim is to avoid pollutants from construction products and unacceptable carbon dioxide concentrations. Regarding the limitation of the carbon dioxide concentration especially in rooms with high occupancy the challenge is to find a suitable ventilation concept. That concerns natural ventilation as well as mechanical ventilation or the combination of both.Although there are normative rules for the required air change it is hardly verifiable during building planning whether the proportion of natural ventilation is sufficient in practice. Various evaluation reports in the past have shown that natural ventilation comparability mostly did not work, especially in rooms with high occupancy. In addition, it was also shown that comparability of the test results was usually not given and therefore no conclusions could be drawn on functioning ventilation concepts.To be able to determine and evaluate the air exchange (in case of natural ventilation) and the resulting development of the carbon dioxide concentration in a room, the development of a calculation tool is part of a recent research project. The tool is used to calculate the outdoor air volume flow with natural ventilation depending on multiple parameters (as examples: wind, temperature, window size, window opening). In the same step CO2 concentration for a certain number of CO2 sources in the room will be determined automatically. Thereby the tool will be very helpful in an early stage of planning to find a proper ventilation concept. In addition to its use as a planning aid, the tool offers two different applications for assessing carbon dioxide concentration in a room: The calculation under specified conditions provides the opportunity to classify the expected carbon dioxide emissions as part of the assessment of sustainable buildings. The tool is also suitable for checking the air exchange under extreme climatic or other individually selectable conditions. At the end the calculation results of each individual constellation are shown in graphical diagrams.

An evaluation model of business intelligence for enterprise systems with new extension of codas (codas-ivif)

Due to today’s dynamic and changing environment and the organization need to decide in emergencies and accurate analysis of the internal and external environment from different aspects, creating a decision support environment is considered as a vital factor for the success of organizations that is achieved using business intelligence. Hence, it is necessary to have enterprise systems at a reasonable level of business intelligence to provide an environment suitable for supporting decision makers through aggregation and analysis of data in their database. Therefore, this study provides a novel assessment framework of BI for enterprise systems, by extending of CODAS method with interval-valued intuitive fuzzy sets. The CODAS is a new method for multiple attribute decision making (MADM) problems. In the proposed model, a number of 34 criteria from the most important BI indexes are identified and, accordingly, five enterprise systems are evaluated through expert discussions. The results reveal that the most important assessment criteria defined by expert panels include visual graph display, dashboard design, capable of data storage, meeting stakeholder needs, and the possibility for detailed realistic analysis. Then, one alternative is defined as the final selection which provides an outstanding performance on the criteria of groupware programs, group decision-making tools, training techniques, data transfer capability, knowledge inference, supporting fuzzy concepts under ambiguity and uncertainty, realtime analytical processing, managing email channels, and achieving stakeholder satisfaction. The results obtained from the extended method are compared with three different ranking techniques. And, the analysis of correlation coefficients confirms similarity between this solution and such methods as COPRAS-IVIF and MABAC-IVIF.

Analysis of the Effect of Loading Process on Tribological System Properties

The effect of loading on the properties of selected sliding pair is monitored and analysed in the submitted contribution. The obtained results of dynamic loading were also compared with static loading. The experimental tests were performed using the testing machine Tribotestor M10. Steel 11 600 was selected as a material sample for the shaft as it belongs to commonly used materials in the manufacturing of agricultural components of shaft type or pin type. A full-bronze centrifugally moulded bearing shell from the material CuSn12 was selected as the second element of friction pair. Two oils were selected for lubrication of friction node – the mineral gear oil Madit PP80 and ecological oil Plantohyd 46 S. The selected friction pairs were tested in three loading regimes according to the methodology (two dynamic processes and one static process). 60 tribological tests were performed, i.e. 10 for each type of loading and lubrication. The weight losses of the friction pair elements were part of the tracked and analysed parameters. The polluted oil was examined using the ferrographic analysis to verify the weight losses. The abrasion particles of friction pair and their contribution to oil pollution were also analysed. Following the performed experiments different effects of loading regimes may be concluded, essentially in terms of wear size and the number and size of wear particles as well. The obtained results confirmed that the power spectral density of generated signal is probably an important criterion for assessment in terms of simulated random dynamic load in given experiment. In terms of technical application in loading processes – power spectral density is actually the amount of energy supplied to the process.

Thermochemical Energy Storage for Power Generation on Demand

AbstractMatching the power supply with demand is a key issue for the development of renewable energy sources: the intermittence of wind or solar power can be overcome by integrating an energy storage system. In comparison with sensible and latent heat storage, thermochemical heat storage has the advantages of both a high energy density, so that reaction products can be stored at ambient temperature for later reuse, and a flexibility of transportation when off‐site use is required. An initial thermodynamic and kinetic screening of thermochemical reactions in the temperature range of about 600 to 1200 K is presented. Thermodynamics and kinetics are used to characterize the reactions through the equilibrium temperature, the heat of reaction, the reaction rates, and recovery work. These aspects were studied theoretically and experimentally. The analysis defines the essential design parameters and provides guidance for the important assessment criteria of new candidate reaction systems.

Analysis of the loading process effect on the tribological node geometry change of agricultural machine

The effect of loading on the properties of selected sliding pairs has been analysed. The experimental tests were performed using the testing machine Tribotestor M10. The steel 11 600 and all-bronze sleeve of CuSn12 material has been selected as the elements of friction pair. Two oils were selected for lubrication of friction node – the mineral gear oil Madit PP80 and ecological oil Plantohyd 46 S. Chosen friction pairs were tested in three loading regimes (two dynamic processes and one static process). 60 tribological tests have been performed. The weight loss, the change of surface roughness and the absolute change of cylindricity of the friction pair elements were the tracked and analysed parameters. Based on the experiments, various effects of loading regimes may be concluded. The obtained results confirmed that the power spectral density of generated signal is probably an important criterion for assessment in terms of simulated random dynamic load in the given experiment. From the technical perspective, the power spectral density is actually the amount of energy supplied to the process.

Green Assessment Criteria for Public Hospital Building Development in Malaysia

As Malaysia moves towards a sustainable lifestyles and development, the need to prepare for the change is imperative. Sustainability has become an important initiative discussed and undertaken not only by private buildings but also by public buildings dealing with residential, office, commercial as well as hospital. Building is known as human habitat. The way people design, construct and operate the building has a profound impact on people health and the environment. Compared to other building types, healthcare buildings have an especially large impact on the environment for the 24/7 use. Thus, the development of green hospital is important as it requires strict cleaning procedures and frequent air changes, which increase the already-high energy costs of the 24/7 operations and sophisticated medical equipment that make hospitals among the greatest energy consumers of any institution. The primary aim for this paper is to investigate green assessment criteria for public hospital building development in Malaysia. It compiles the essential criteria of existing green rating systems for healthcare buildings worldwide and presents the difference between each criteria compared to Malaysian green rating system. Existing tools and guidelines are reviewed, analysed and grouped according to the main criteria. The assessment criteria from each rating systems are divided into similar category covers all aspect of building design, construction and operation. Results from the analysis show the important assessment criteria of green public hospital building correspond to Malaysia. The research intended to produce initial guideline as a starting point for Malaysian public hospital in the most consistent and systematic way in practicing green.

Beurteilen und Bewerten im DaF- Studiengang

Assessing and evaluating in the Deutsch course
 The debate about the German language lessons is decisively shaped worldwide by keywords like evaluation and assessment. The situation at the Algerian universities and in the German department is similar. The examination and testing procedure is constantly being questioned because the results achieved do not correspond to the wishes of the teaching team. In this article, the interest is in pursuing the question of assessment and evaluation in the context of the German department at the University of Oran. The German language course is the focus of the present study. The previous experience with regard to the implementation of tests and examinations that are planned in each semester in the respective subjects is considered a particular inspiration for this analysis. In addition, due to the persisting problem of evaluation, countless conferences, congresses and workshops are regularly organized worldwide. However, one would like to emphasize that assessment didactics in the German language as a foreign language area have made huge strides in the last two decades. There is already a consensus on the most important assessment criteria. The European Framework of Reference, which provides interesting strategies and techniques for assessment and assessment in German language as a foreign language lessons, is considered one of the most important reference sources for evaluation.

Immediate needs and level of anxiety of families with traumatic brain injury patients admitted to ICUs

Meeting the needs of family members of patients in the ICU is an important criterion in assessment of quality of care in the ICU. Therefore this study was conducted to determine the immediate needs and level of anxiety of families with traumatic brain injury patients admitted to ICUs in Shiraz, Iran in 2008.