Set Of Criteria Research Articles

AI-enabled human capital management (HCM) software adoption using full consistency method (FUCOM): evidence from banking industry

PurposeArtificial intelligence (AI)-based human capital management (HCM) software solutions represent a potentially effective way to leverage and streamline a bank’s human resources. However, despite the attractiveness of AI-based HCM solutions to improve banks’ effectiveness, to the best of the authors’ knowledge, there are no current studies that identify critical success factors (CSFs) for adopting AI-based HCM in the banking sector. This study aims to fill this gap by investigating CSFs for adopting AI-based HCM software solutions in the banking sector.Design/methodology/approachFull consistency method methodology and technology–organization–environment, economic and human framework are used for categorizing and ranking CSFs.FindingsThe study identifies the technological and environmental dimensions as the most and least important dimensions for AI-based HCM adoption in banks. Among specific CSFs, compatible technology facilities, sufficient privacy and security and relative advantages of technology over competing technologies were identified as the most important. Implementation of AI-based HCM solutions requires significant outlays of resources, both human and financial, for banks.Originality/valueThe study provides bank administrators a set of objective parameters and criterion to evaluate the feasibility of adopting a particular AI-based HCM solution in banks.

Sustainability of educational technologies: An approach to ratio and feedback

Blended learning is a driving force behind new pedagogical approaches. While many studies have shown the positive effects of blended learning on the students’ learning outcomes, the extent and breadth of its sustainability remains an interesting question, given the rapid evolution and diversification of technology post COVID-19 pandemic. In this study, we examined the ratio of technological interventions in blended learning studies, and their corresponding students’ feedback by categorizing 37 compliant articles. With a defined set of inclusion and exclusion criteria, and a clear search strategy, we employed systematic reviews to comprehensively and systematically identify, evaluate, and synthesize relevant evidence to probe on a specific research question. The results advocate the notion of ratio, regardless of its specific percentages, predominantly proffering positive feedback, indicating that the integration of technology is essential for supporting sustainable strategies in teaching and learning approaches. Overall, these findings provide a comprehensive body of high-quality evidence that blended learning has the potential to meritoriously support sustainable education model. It has significant practical significance in addition to its implications for empirical research. Additionally, it produces structured guidelines as a result of its thorough analysis, which may help to accelerate the adoption of blended learning.

Return to play decision after shoulder dislocation in upper limb athletes: Critical analysis between the habits of medical professionals and the literature

BackgroundThe return to field is a critical moment for an athlete who has dislocated his shoulder as there is a significant risk of recurrence. The decision to return to field made by the doctor will therefore be crucial for the smooth continuation of the athlete's career. HypothesisThis objective is to compare the criteria most used by specialists in clearing an overhead athlete to return to competition after a first episode of antero-internal dislocation of the glenohumeral joint with or without surgery and those mentioned in the literature. Patients and methodsThe target population consisted of French-speaking physicians in orthopedic surgery, physical medicine and rehabilitation or sports medicine. This study was conducted by the means of a questionnaire. The questionnaire was validated by three experts in sports medicine and published on an online survey website. ResultsSixty-three medical specialists responded to the questionnaire. On average, they use more than nine criteria to decide if an athlete is fit to return to competition. Over the 12 criteria proposed, four are used by more than 90% of respondents: laxity/instability, pain, range of motion and patient's subjective feeling. The methods used to evaluate certain criteria such as pain, joint range or muscular strength are often subjective and very often not validated by the literature. ConclusionDoctors use a set of criteria to allow an overhead athlete to return to competition. This study highlights that the techniques employed to evaluate these criteria are not always thoroughly validated by literature reviews. Level of evidenceIII; observational study.

Contribution to the Objective Evaluation of Combined Longitudinal and Lateral Vehicle Dynamics in Nonlinear Driving Range

<div>Since the complexity of modern vehicles is increasing continuously, car manufacturers are forced to improve the efficiency of their development process to remain profitable. A frequently mentioned measure is the consequent integration of virtual methods. In this regard, objective evaluation criteria are essential for the virtual design of driving dynamics. Therefore, this article aims to identify robust objective evaluation criteria for the nonlinear combined longitudinal and lateral dynamics of a vehicle. The article focuses on the acceleration in a turn maneuver since available objective criteria do not consider all relevant characteristics of vehicle dynamics. For the identification of the objective criteria, a generic method is developed and applied. First, an open-loop test procedure and a set of potential robust objective criteria are defined. Subsequently, suitable criteria are selected for different vehicle dynamics characteristics based on an investigation of Pearson correlations between the objective criteria and established subjective rating criteria. For this purpose, a subjective evaluation study with six specifically selected vehicle variants is conducted. Finally, the applicability of the selected objective criteria for vehicles of different segments is assessed through a benchmark of current vehicles. The results are objective criteria for the vehicle characteristics driving stability, oversteer/understeer, and traction. In contrast to existing objective criteria, the identified criteria shows a high robustness to measurement noise. Furthermore, there is a comprehensible correlation to established subjective rating criteria for each objective criterion. Lastly, the benchmark of current vehicles proves the applicability of the identified criteria.</div>

A Scenario-Based Multi-Criteria Decision-Making Approach for Allocation of Pistachio Processing Facilities: A Case Study of Zarand, Iran

Site selection and allocation of manufacturing and processing facilities are essential to sustainable economic productivity of a given product while preserving soil, the environment, and biodiversity. An essential criterion when evaluating various approaches to model land suitability for pistachio processing facilities is their adaptability to accommodate diverse perspectives and circumstances of managers and decision makers. Incorporating the concept of risk into the decision-making process stands as a significant research gap in modeling land suitability for pistachio processing facilities. This study presents a scenario-based multi-criteria decision-making system for modeling the land suitability of pistachio processing facilities. The model was implemented based on a stakeholder analysis as well as inclusion of a set of influential criteria and restrictions for an Iranian case study, which is among the top three producers. The weight of each criterion was determined based on the best-worst method (BWM) after the stakeholder analysis. Then, the ordered weighted averaging (OWA) model was used to prepare maps of spatial potential for building a pistachio processing factory in different decision-making scenarios, including very pessimistic, pessimistic, intermediate, optimistic, and very optimistic attitudes. Finally, the sensitivity analysis of very-high- and high-potential regions to changes in the weight of the effective criteria was evaluated and proved that the most important criteria were proximity to pistachio orchards, proximity to residential areas, proximity to the road network, and proximity to industrial areas. Overall, 327 km2 of the study area was classified as restricted, meaning that they are not suitable locations for pistachio processing. The average estimated potential values based on the proposed model for very pessimistic, pessimistic, intermediate, optimistic, and very optimistic scenarios were 0.19, 0.47, 0.63, 0.78, and 0.97, respectively. The very-high-potential class covered 0, 0.41, 8.25, 39.64, and 99.78 percent of the study area based on these scenarios, respectively. The area of suitable regions for investment decreased by increasing risk aversion in decision making. The model was more sensitive to changes in the weights of proximity to residential areas, proximity to pistachio orchards, and proximity to transportation hubs. The proposed approach and the achieved findings could be of broader use to respective stakeholders and investors. Given the suitability of arid regions for planting pistachio and its relatively high profitability, the local authorities and decision makers can promote further expansion of the orchards, which can lead to better welfare of farmers and reducing rural-urban migration in the region.

Fiducial Reference Measurements (FRMs): What Are They?

In recent years, the concept of a Fiducial Reference Measurement (FRM) has been developed to highlight the need for precise and well-characterised measurements tailored explicitly to the post-launch calibration and validation (Cal/Val) of Earth observation satellite missions. The confidence that stems from robust, unambiguous uncertainty assessment of space observations is fundamental to assessing the changes in the Earth system and climate model prediction and delivering the essential evidence-based input for policy makers and society striving to mitigate and adapt to climate change. The underlying concept of an FRM has long been a core element of a Cal/Val program, providing a ‘trustable’ reference against which performance can be anchored or assessed. The ‘FRM’ label was created to embody into such a reference a set of key criteria. These criteria included the establishment of documented evidence of uncertainty with respect to a community-agreed reference (ideally SI-traceable) and specific tailoring to the needs of a satellite mission. It therefore facilitates comparison and interoperability between products and missions in a cost-efficient manner. Committee on Earth Observation Satellites (CEOS) Working Group Cal/Val (WGCV) is now putting in place a framework to assess the maturity and compliance of a ‘Cal/Val reference measurement’ in terms of a set of community-agreed criteria which define it to be of CEOS-FRM quality. The assessment process is based on a maturity matrix that provides a visual assessment of the state of any FRM against each of a set of given criteria, making visible where it is mature and where evolution and effort are still needed. This paper provides the overarching definition of what constitutes an FRM and introduces the new CEOS-FRM assessment framework.

Burden of Salmonella Typhi Isolated from Bloodstream Infection from 2015 to 2020: A Systematic Review and Meta-analysis

Background: Bangladesh is a major contributor to the global problem of typhoid fever, which is predominantly caused by Salmonella typhi. This is due to Bangladesh’s subpar healthcare standards, inadequate cleanliness standards, and inappropriate and excessive use of antibiotics. Objective: Salmonella typhi antibiotic resistance and the current situation of typhoid fever in Bangladesh were the subjects of this systematic review. Methodology: Finding publications about Salmonella typhi in Bangladesh published between 2015 and 2020 required searching Google Scholar, PubMed, and Bangladesh Journals Online with pertinent keywords. A predetermined set of criteria determined who would be included or excluded. Results: Initially,50 articles were retrieved. Using PRISMA flow chart 5 were selected for the study. Through forest plot, the overall effect size is found 0.28 which is represented by a diamond with confidence interval of 0.06 – 0.50. Since the confidence interval does not cross the threshold of no impact, the p value is 0.00. We can conclude that the overall effect is statistically significant. Microsoft excel was used to figure out the trend of antibiotic resistance. The effect size of an article was 0.08 (95%CI 0.05 – 0.11) and weighted 20.44%. Another study was reported with the effect size of 0.07 (95%CI 0.00 – 0.14) and weighted 20.07%. Conclusions: S. typhi was shown to be quite prevalent, and there were also significant surveillance and data gaps in the research’ methodological data. Bangladesh Journal of Infectious Diseases, June 2023;10(1):3-10

A qualitative study to elicit user requirements for lower limb wearable exoskeletons for gait rehabilitation in spinal cord injury

ObjectiveWe aim to determine a comprehensive set of requirements, perceptions, and expectations that people with spinal cord injury (SCI) and the clinicians in charge of their rehabilitation have regarding the use of wearable robots (WR) for gait rehabilitation.BackgroundThere are concerns due to the limited user acceptance of WR for gait rehabilitation. Developers need to emphasize understanding the needs and constraints of all stakeholders involved, including the real-life dynamics of rehabilitation centers.Methods15 people with SCI, 9 without experience with WR and 6 with experience with these technologies, and 10 clinicians from 3 rehabilitation centers in Spain were interviewed. A directed content analysis approach was used.Results78 codes grouped into 9 categories (physical results, usability, psychology-related codes, technical characteristics, activities, acquisition issues, context of use, development of the technologies and clinical rehabilitation context) were expressed by at least 20% of the users interviewed, of whom 16 were not found in the literature. The agreement percentage between each group and subgroup included in the study, calculated as the number of codes that more than 20% of both groups expressed, divided over the total amount of codes any of those two groups agreed on (≥ 20%), showed limited agreement between patients and clinicians (50.00%) and between both types of patients (55.77%). The limited accessibility and availability of lower limb exoskeletons for gait rehabilitation arose in most of the interviews.ConclusionsThe limited agreement percentage between patients and clinicians indicates that including both types of users in the design process of these technologies is important, given that their requirements are complementary. Engaging users with prior technology experience is recommended, as they often exhibit strong internal consensus and articulate well-defined requirements. This study adds up the knowledge available in the literature and the new codes found in our data, which enlighten important aspects that ought to be addressed in the field to develop technologies that respond to users’ needs, are usable and feasible to implement in their intended contexts.ApplicationThe set of criteria summarized in our study will be useful to guide the design, development, and evaluation of WR for gait rehabilitation to meet user’s needs and allow them to be implemented in their intended context of use.

Comparison of the 2005 Montreal Criteria and the 2019 Cirrhotic Cardiomyopathy Consortium Criteria for the Diagnosis of Cirrhotic Cardiomyopathy

The comparison between the diagnostic criteria for cirrhotic cardiomyopathy (CCM) first proposed in 2005 (2005 Montreal criteria), and those redefined in the 2019 Cirrhotic Cardiomyopathy Consortium (2019 CCC criteria) has generated significant controversy. Importantly, the predictive value of these criteria in cirrhotic patients (CPs) remains unclear to this date. Thus, the present study aims to compare the 2 sets of criteria and investigate their predictive value in CPs. Between April 2021 and April 2023, a total of 104 CPs with an average age of 46.4 ± 8.9years, who had no history of other cardiac diseases or malignancies were enrolled in this prospective single-center observational cohort study, conducted at the Third Affiliated Hospital of Sun Yat-Sen University. Various echocardiographic indicators were measured and assessed for their prognostic value and association with clinical outcomes. The prevalence of CCM was found to be comparable when evaluated using both the 2019 CCC and 2005 Montreal criteria (54.8% vs 44.2%, p=0.161). However, the diagnosis of systolic dysfunction was significantly different between the 2 criteria (52.9% vs 1.0%, p <0.001). Among patients with systolic dysfunction, 27.9% had reduced left ventricular global longitudinal strain, while 25% had increased left ventricular global longitudinal strain. Moreover, fewer patients were diagnosed with diastolic dysfunction (DD) using the 2019 CCC criteria (4.8% vs 44.2%, p <0.001). Multivariate Cox analysis revealed that CPs who had encephalopathy, a high model for end-stage liver disease score, and DD diagnosed using the 2019 CCC criteria exhibited a poorer prognosis. In conclusion, although the prevalence of CCM according to both criteria is similar, the consistency is poor, indicating that they are not the same group of patients. Importantly, CPs with DD diagnosed according to the 2019 CCC criteria might be associated with increased adverse events.

Evaluating Oncologists' Practice Patterns and Decision-Making in Locally Advanced or Metastatic Urothelial Carcinoma: The US Physician PARADIGM Study.

The treatment landscape for locally advanced/metastatic urothelial carcinoma (la/mUC) has evolved. This study examined US prescribing patterns and clinical decision-making for first-line (1L) and first-line maintenance (1LM) treatment. US-based oncologists (N = 150) completed an online survey on patient demographics, practice patterns, and important factors considered in 1L/1LM selection. Multivariable logistic regression was used to assess factors associated with more vs less frequent 1L/1LM prescribing. Physician reports estimated that 23% of patients with la/mUC had not received any systemic therapy in the previous 6 months; however, 46% received 1L, 32% received second-line, and 22% received subsequent-line systemic treatments. Of patients who were receiving 1L treatment, 72% were estimated to be receiving 1L platinum-based chemotherapy. Around 69% of patients eligible for 1LM received the treatment. Physicians categorized as frequent prescribers reported overall survival (OS), disease control rate (DCR), and rate of grade 3/4 adverse events (AEs) as factors associated with 1L treatment selection (all P < .05). OS, rate of grade 3/4 immune-mediated AEs, and inclusion in institutional guidelines were reported as attributes used in 1LM treatment selection (all P < .05). Multivariable analysis revealed OS, DCR, and rate of grade 3/4 AEs as important factors in oncologists' 1L treatment selection; academic practice setting and use of Response Evaluation Criteria in Solid Tumors version 1.1 were associated with 1LM use (all P < .05). OS and AEs were found to be relevant factors associated with offering 1L and 1LM treatment. Variability exists in physicians' decision-making in the real-world setting for la/mUC.

E-Learning Websites Selection and Ranking Using Multi-Criteria Decision-Making Methodology

The present research places significant importance on the evaluation and prioritization of E-learning platforms based on a predetermined set of selection criteria. The primary aim of this research project is to select and rank E-learning websites. The issue pertaining to the selection and ranking of e-learning platforms is addressed through the utilization of a methodology known as multiple-criteria decision-making (MCDM). The task of choosing E-learning websites is addressed through the application of the multicriteria decision-making (MCDM) technique known as Weighted-Combinative Distance-based Assessment (W-CODAS), which is specifically designed to tackle such issues. In order to assess the suitability and effectiveness of the proposed method, a comparison is made between the results obtained from methodology which is proposed and those obtained from established approaches such as Visekriterijumsko Kompromisno Rangiranje (VIKOR) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The methodology under consideration has not yet been employed to assess, choose, and prioritize the diverse E-learning platforms

An Assessment of the Values of French Colonial Townhouses in Hanoi Towards AMore Sustainable Conservation

As the capital city of French Indochina, Hanoi was well planned by the French and immensely invested in the construction of public buildings as well as houses. In addition to public buildings and villas designed in French colonial stylesthatshaped the so-called distinctive architectural heritage in Hanoi throughout the colonial years, a large number of townhouses built during 1920 -1950 which formed the cityscape of Hanoi in the first half of the 20thcentury should be noted. After nearly 70 years since the French army withdrew from the city, the number of French townhouses has considerably decreased. The remaining houses have shown that this is a real “treasure” that needs to be conserved because of their important values, not only in terms of urban architecture but also in cultural and historical aspects. However, a fact requiringspecial attention is that French townhouses in Hanoi -unlike French public buildings and villas -have not yet been recognised as heritage so that they can be keptto avoid the risk of deterioration or demolition under the impact of rapid urbanisation in the market economy. One of the main reasons for this negative urban development is that there has been no concrete or comprehensive rating system to assess the values ofthose townhouses whichwill closely correspondto their characteristics and contexts. Therefore, the authors -based on site surveys and by applying some appropriate methods such as expert consultations and case studies -have developed a full set of criteria to help evaluate those remaining townhouses as accurately as possible. This system can be used as a basis for asystematic assessment and classification towards a more effective conservation and even promoting the values of those townhouses with regard tothe development of a modern societyand in consideration ofsustainable heritage conservation as a mainstream in the world.

Factor analysis of the housing market in Ukraine (2003–2023)

The residential real estate market plays a key role in the development of global and national economies, since it has acted as a powerful driver of GDP growth, increasing the level of employment, household incomes, and profitability of financial institutions, construction organizations and trading enterprises. The house price growth has two dimensions, threat to financial stability and source of economic development. The aim of this research is to formulate a list of criteria, based on which one can decide whether the house price at a given stage of housing market development needs to be constrained or not. The aim is achieved by a multi-perspective analysis of residential real estate market in Ukraine and its evolution. This research is based on general scientific and special methods of cognition, including abstract logical reasoning, grouping, and statistical analysis. The factors that con­tribute to the growth of house prices are formed using the method of principal component analysis, and the effect is estimated using least squares regression. Five stages of the evolution of the Ukrainian residential real estate market are identified according to two general indicators: housing price growth and credit activity. The segmentation is based on signi­ficant changes in market conditions and/or changes in housing price drivers, as well as changes in the regulatory environment. Factors affecting house prices at each of these stages were investigated using principal component analysis to identify variables for regression analysis. A set of criteria has been formed using which one can assess if the current rise in housing prices poses systemic risks to the national financial system and overall economy. Three hypotheses were put forward and their empirical verification was carried out, according to the results of which it was established that demand factors had the greatest impact on housing prices during the observation period; macro-financial conditions primarily affect prices on the primary real estate market; lending conditions affect price dynamics mainly only at the first stage of development of the housing market in Ukraine, which are determined in this study. The main drivers of the housing market in Ukraine are the unemployment rate, income growth levels, and population size. The conclusions drawn can significantly contribute to the monitoring system of the housing market in Ukraine and the analysis of the systemic risks it generates.

A predictive theory on thermal runaway of ultrahigh capacity lithium-ion batteries

Ultrahigh capacity lithium-ion batteries (LIBs) with prudent safety measures are key to future transportation. The undesirable thermal events such as thermal runaway (TR) in LIBs can pose a direct risk to battery life and the consumers. In the present study, a set of new TR criteria are established by closely inspecting the relation between the rate of heat generation and dissipation to anticipate the TR at an early stage. From the proposed criteria, three alarming temperatures prior to TR are identified, such as the safe temperature limit TE (an intersection between heat generation curve and heat removal line), the maximum temperature limit TM (where second derivative of heat generation is zero), and the low temperature TC from the Semenov theory. For a safer battery operation, both the low and upper limit temperatures have to remain below the safety zone, i.e. TM < TE with TC < TE. The criteria are validated by implementing them on the ultrahigh capacity LIBs, which are subjected to the thermal abuse, wherein the rate of heat generation was determined from calorimetry. The state TM < TE indicates the first precursor to TR where a controlled measure can be taken to prevent the runaway. However, TE ≤ TM regarded as the critical state during which a self-sustaining reaction involving delithiated nickel-rich cathode, intercalated anode, and dissociated electrolyte progresses, resulting in an irreversible TR in the system. The validity of the proposed criteria is demonstrated, while additional work is considered in a broad class of batteries subjected to thermal abuse conditions for establishing a safety margin of operation.

Analysis of the positioning factors affecting the sustainable fishing gear-Set net

Using a passive method to catch fish, the set-net fishery is an environmentally friendly fishery posing little risk to the marine ecosystem. To date, no studies have been conducted by industry, government, or academia to formulate a set of physical selection criteria for the installation of set nets. In this study, meteorological and sea condition data were collected around existing set-net fishing grounds in Taiwan, and binary logistic regression analysis and sequential logistic regression methods were used to determine the factors that affect the installation of set nets to confirm the future development of this fishery. According to the results of binary logistic analysis and comparison of physical factors in the waters near Xiaoliuqiu, Pingtung County, Nanliao City, Hsinchu City, Qixingtan City, and Hualien City, where there are set-net fishing grounds, ocean temperature (OCT) and sea surface factors, namely, maximum wind speed (OSWm), wave (WV), air temperature (TEMP) and air pressure (PRES), are the primary factors affecting the installation of set-nets. The results of sequential logistic regression and odds ratio analysis were also used to verify the degree of influence of the determinants of these three sea areas on the nearby set-net fishing grounds. The fish catch data from the fishing grounds studied fitted very well to the examined physical factors in different regions.

Assessing the Impact of Data Sciences and Smart Technologies in Air Conditioning Project Management: A Delphi Method Analysis within the Construction Industry

The integration of data sciences and smart technologies in the construction industry, particularly in air conditioning project management, is an important area of research. This study employs the Delphi Method to explore this integration, surveying 40 experts in construction management. Participants were meticulously selected based on a set of inclusion criteria related to age, educational qualifications, and field experience. The study tests five hypotheses, each scrutinized through a score-based Delphi analysis. The findings are mixed and shed new light on several dimensions of air conditioning project management. For instance, the study refutes the commonly held belief that the location of air conditioning projects significantly impacts worker safety. It also challenges the assumption that exceeding international safety standards like ISO leads to cost savings. On the other hand, the study validates the significance of global safety standards and the undeniable role of data sciences and smart technologies in enhancing human safety in the air conditioning industry. These findings not only challenge existing models, but also open avenues for further research. They indicate a complex interplay between safety, cost-effectiveness, and technological integration in air conditioning project management. The study suggests a shift towards data-driven decision-making and underscores the need for international safety standards, particularly in an era marked by rapid technological advancements and globalization.

Import substitution processes in the material and technical support of vocational education programmes in the context of the movement towards technological sovereignty

Introduction. The vocational education system of any country is focused on training qualified personnel for the economy and is always closely connected with the socio-economic and foreign policy conditions for the development of the state. In the 2020s, the world community faced a number of challenges, including the Coronavirus pandemic, natural changes and cataclysms, and foreign policy conflicts. The problem of supporting the vocational education system in the conditions of instability is acquiring an international dimension.Aim. The current paper aims to present the results of the research on import substitution processes in the material and technical support of educational programmes of secondary vocational education and an assessment of the readiness of educational organisations for this activity in the context of the new economic conditions for the development of Russia, taking into account the foreign experience of friendly countries.Methodology and research methods. The present applied research uses the methodology of the general scientific level based on the analysis of documents and materials, which are publicly available on the nternet. The methods of comparative, criterion and cluster analysis, the method of analysis of necessity and sufficiency, methods of goal-setting and formalisation of expected results, the method of interpretation were employed.Results. The article presents the intermediate results of the study of the regional VET systems adaptation to new economic conditions. The proposed set of criteria and indicators can be useful to the executive authorities in the field of education, the administration of educational organisations to develop their strategy in the coming years. In the future, the authors plan to prepare appropriate methodological recommendations.Scientific novelty. Cluster approach was applied to analyse management strategies of colleges and technical schools for updating and import substitution of equipment.Practical significance. The authors propose the set of criteria and indicators for assessing the material and technical support of vocational education system in the context of import substitution and building technological sovereignty in the Russian Federation.

Assessment of Green Banking Performance

Internal and external pressures are pushing the financial system towards an increasingly environmentally responsible orientation. The damaging practices of green-washing necessitate the search for new ways of monitoring. The question then arises, how can one measure the actual degree of greenness of a banking industry? This study aims to create a new methodology framework to measure green performance in the banking industry using multi-criteria methods. We offer a theoretical contribution. First, a set of criteria was identified at the theoretical level. Second, the criteria were evaluated by practitioners and aggregated using the ‘TOPSIS’ method. This index may constitute a basis for ranking banks. The results showed that the most important factors to be considered when evaluating the performance of green banking are the greenness of the customers, the development of innovations leading to a green economy, the availability of green financial products and services, and the promotion of green education. These results lead to the conclusion that both banks and clients should become “greener” and utilize more green innovations and financial products/services.

Disease resolution following treatment of peri-implant diseases: A systematic review.

The aim of this PRISMA-compliant systematic review was to analyze the evidence pertaining to disease resolution after treatment of peri-implant diseases (PROSPERO: CRD42022306999) with the following PICO question: what is the rate of disease resolution following non-surgical and surgical therapy for peri-implant diseases in adult human subjects? A literature search to identify studies that fulfilled a pre-established eligibility criteria was conducted. Data on primary therapeutic outcomes, including treatment success, rate of disease resolution and/or recurrence, as well as a variety of secondary outcomes was extracted and categorized. Fifty-five articles were included. Few studies investigated the efficacy of different non-surgical and surgical therapies to treat peri-implant diseases using a set of pre-defined criteria and with follow-up periods of at least one year. The definition of treatment success and outcomes of disease resolution differed considerably among the included studies. Treatment of peri-implant mucositis was most commonly reported to be successful in arresting disease progression for ≤60% of the cases, whereas most studies on peri-implantitis treatment reported disease resolution occurring in <50% of the fixtures. In conclusion, disease resolution is generally unpredictable and infrequently achieved after the treatment of peri-implant diseases. A great variety of definitions have been used to define treatment success. Notably, percentages of treatment success and disease resolution were generally underreported. The use of standardized parameters to evaluate disease resolution should be considered an integral component in future clinical studies.

Selection and evaluation of FOPID criteria for the X-15 adaptive flight control system (AFCS) via Lyapunov candidates: Optimizing trade-offs and critical values using optimization algorithms

Recently, there has been a growing interest among academics worldwide in studying flight control systems. The advancement of tracking technologies, such as the X-15 adaptive flight control system developed at NASA (National Aeronautics and Space Administration), has sparked significant exploration efforts by scientists. The vast availability of aerial resources further contributes to the importance of studying adaptive flight control systems (AFCS). The successful operation of AFCS relies on effectively managing the three fundamental motions: pitch, roll, and yaw. Therefore, scientists have been diligently working on developing optimization algorithms and models to assist AFCS in achieving optimal gains during motion. However, in real-world scenarios, each motion requires its own set of criteria, which presents several challenges. Firstly, there are multiple criteria available for selecting appropriate optimization values for each motion. Secondly, the relative importance of these criteria influences the selection process. Thirdly, there is a trade-off between the performance of the criteria within a single optimization case and across different cases. Lastly, determining the critical value of the criteria poses another obstacle. Consequently, evaluating and selecting optimum methods for AFCS trajectory controls becomes a complex operation. To address the need for optimizing AFCS for various maneuvers, this study proposes a new selection process. The suggested approach involves utilizing black hole optimization (BHO), Jaya optimization algorithm (JOA), and sunflower optimization (SFO) as methods for detecting and correcting trajectories in adaptive flight control systems. These methods aim to determine the best launch of missiles from the AFCS based on the coordinate location for both long and short distances. Additionally, the methods determine the optimal gains for the FOPID (fractional order proportional integral derivative) controller and enhance protection against enemy attacks. The research framework consists of two parts. The first part focuses on improving the FOPID motion gains by employing optimization algorithms (BHO, JOA, and SFO) that are evaluated based on the FOPID criteria. Lower significant weighting values of the optimization algorithms demonstrate the best missile launching in a cosine wave trajectory within AFCS, while higher significant values indicate the best missile launching in a sine wave trajectory within AFCS. The FOPID controller criteria, including Kp_pitch, Ki_roll, Kd_yaw, λ_pitch, and µ_yaw, are considered in all situations. Furthermore, the study reports the best weights obtained for the "Kp_pitch" criterion across the motions as follows: (0.8147, 66.7190, and 54.4716). For the "Ki_roll" criterion, the best weights are (0.0975, 64.4938, and 64.7311), and for "Kd_yaw" the weights are (0.1576, 35.2811, and 54.3886). The results of the selection process by the BHO, JOA, and SFO algorithms also include λ_pitch (0.1419, 40.0791, and 72.1047) and µ_yaw (0.6557, 13.5752, and 52.2495). To ensure the validity of the proposed research framework, a systematic evaluation and precise analysis were conducted.