Performance In Relation Research Articles

Cognitive Performance in Relation to MIND and MEPA III Accordance among NHANES Participants

AbstractBackgroundThere is growing evidence from cohort studies and clinical trials that MIND and Mediterranean‐like diets are associated with better cognitive performance, but most rely on food frequency questionnaires that may not specify key food items consistent with these patterns.MethodIn this cross‐sectional sample from two NHANES cycles (2011‐2014), scores for the MIND dietary pattern (maximum score = 14) and those for the Mediterranean Eating Pattern for Americans III (maximum score = 22) were calculated based on reported foods consumed on two non‐consecutive 24‐hour dietary recalls. Only those adults with two completed recalls and cognitive tests were studied (n = 2598). Cognitive assessments included the word learning and recall components from the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD), the Animal Fluency test (AFT), and the Digit Symbol Substitution test. The Complex Sample module in SPSS (version 26) was used to produce representative estimates of the older American population with the dietary weighting variable applied following the “least common denominator” rule.ResultThe average age of sample participants was 69.2 ± 0.3 years, with almost equal proportion of men and women. The average MIND score was (mean ± SD) 5.0 ± 0.0, whereas for MEPA III, this was 8.6 ± 2.1. There were positive associations between continuous MIND scores and education‐dependent standardized cognitive scores for each test as well as global cognition (β = 0.05‐0.10, all p‐values ≤ 0.002 when adjusted for covariates); these associations were not observed for MEPA III scores. Compared to those in the lowest MIND accordance tertile, those in the highest tertile were less likely to exhibit low cognitive performance on the AFT [odds ratio, 95% CI)] 0.45 (0.29–0.69)], CERAD Delayed Recall [0.52 (0.33–0.83)], and global cognition [0.50 (0.27–0.94)].ConclusionOlder Americans in this sample were generally non‐accordant to MIND and MEPA III patterns. However, those who reported greater MIND diet accordance exhibited better cognitive performance.

HR Practices Through the Lens of Technology and Digital Transformation

Abstract The company’s digital transformation requires the optimization and automation of processes through Industry 4.0 technology, leading to a new business model. Along with technology, effective human resource management (HRM) is crucial for this model. HRM and Industry 4.0 technology are interdependent. Technologies require new HR operating models, and HR, through organizational management strategies such as change management, agile organizations, and talent management, influences the provision of a workforce capable of implementing these disruptive technologies. This paper focuses on HR's role in digital transformation and the resulting changes in HRM and HR practices. It presents use cases of Industry 4.0 technology and their benefits. The study presented in this paper examines the impact of HR practices on operational, financial, and employee performance in relation to the use of disruptive technologies. A survey questionnaire was used to examine this impact on 11 large and medium-sized companies in Serbia, using statistical methods of descriptive statistics and correlation analysis through SPSS 23 software to analyze the results. The research showed that the use of artificial intelligence and machine learning (AI/ML) in HR processes has a positive effect on employee performance, as well as operational and financial performance. Other hypotheses were only partially proven. The research also revealed the lack of training for HR employees regarding the use of digital technologies in HR processes and digital skills compared to other sectors in the company. The recommendation is that HR managers begin training on the digitization of HRM as soon as possible.

Study of some Physiological and Molecular Indicators of Bread Wheat Treated with Colchicine

During the winter agricultural season of 2022-2023, a field experiment was carried out in the Al-Basatin Al-Sharqiya, located 4 km away from the center of Al-Muthanna governorate. The objective of this study was to investigate various anatomical and genetic parameters of wheat varieties under the influence of the mutagenic alkaloid colchicine at concentrations of 0, 250, 500, and 750 mg L-1. The study employed a split plot design with three replications. The main plots consisted of different concentrations of the colchicine compound, while the secondary plots comprised four varieties (Ibaa99, Mawadah, Bohuth 22, Babel). The statistical analysis yielded significant variations in the anatomical and molecular traits among the cultivars. Notably, the cultivar Mawada demonstrated superior performance in terms of stoma density on the upper leaf surface, with an average of 118.15 stomata mm-2. Conversely, the Babel variety exhibited the highest average stoma density of 113.70 stomata mm-2 on the lower leaf surface. Regarding Bohuth 22, it demonstrated notable proficiency in terms of stoma length, exhibiting an average measurement of 3.82 μm for both the upper and lower leaf surfaces. Additionally, it displayed the highest average stoma width for the lower surface, measuring at 2.66 μm. The highest mean stomatal density for both the upper and lower leaf surfaces (114.1, 104.44 stomata mm-2) was observed at a colchicine concentration of 750 mg L-1. Regarding the intersection of the treatments, it was observed that treatment C1V3 exhibited superior performance in terms of the dimensions of the stoma, specifically the length and width on the lower surface of the leaf. The average difference between the measurements was found to be 4.40-2.96 μm, consecutively. The C2V2 treatment demonstrated superior performance in relation to the stomatal density observed on the upper surface of the leaf, exhibiting an average of 132.6 stomata mm-2. The treatment labelled as C2V4 exhibited the highest average stomata density (131.85 stomata mm-2) on the lower surface of the leaf. The molecular analysis conducted using RAPD-PCR technology revealed that the primer OPA 9 exhibited a total of 37 bands. Among these bands, 6 were found to be unique, while the remaining 31 bands displayed divergence. The OPA12 primer exhibits a minimum total of 29 bands, consisting of 24 distinct bands and 5 unique bands. Notably, all primers demonstrate a 100% occurrence of differentiated bands.

Epoxy-Encapsulated ZnO-MWCNT Hybrid Nanocomposites with Enhanced Thermoelectric Performance for Low-Grade Heat-to-Power Conversion.

This work is devoted to the development of epoxy-encapsulated zinc oxide-multiwalled carbon nanotubes (ZnO-MWCNT) hybrid nanostructured composites and the investigation of their thermoelectric performance in relation to the content of MWCNTs in the composite. For the preparation of nanocomposites, self-assembling Zn nanostructured networks were coated with a layer of dispersed MWCNTs and subjected to thermal oxidation. The resulting ZnO-MWCNT hybrid nanostructured networks were encapsulated in commercially available epoxy adhesive. It was found that encapsulation of ZnO-MWCNT hybrid networks in epoxy adhesive resulted in a simultaneous decrease in their electrical resistance by a factor of 20-60 and an increase in the Seebeck coefficient by a factor of 3-15, depending on the MWCNT content. As a result, the thermoelectric power factor of the epoxy-encapsulated ZnO-MWCNTs hybrid networks exceeded that of non-encapsulated networks by more than 3-4 orders of magnitude. This effect was attributed to the ZnO-epoxy interface's unique properties and to the MWCNTs' contribution. The processes underlying such a significant improvement of the properties of ZnO-MWCNT hybrid nanostructured networks after encapsulation in epoxy adhesive are discussed. In addition, a two-leg thermoelectric generator composed of epoxy-encapsulated ZnO-MWCNT hybrid nanocomposite as n-type leg and polydimethylsiloxane-encapsulated CuO-MWCNT hybrid nanocomposite as p-type leg characterized at room temperatures showed better performance at temperature difference 30 °C compared with the similar devices, thus proving the potential of the developed nanocomposites for applications in domestic waste heat conversion devices.

Optically transparent dual-band antenna for UHF and S-band applications

This paper presents a novel optically transparent antenna that utilizes Indium Tin Oxide-coated Polyethylene Terephthalate (ITO-PET) and Soda-lime-glass (SLG) substrate. It explores ITO-PET and SLG for transparent antenna fabrication, thoroughly evaluating the antenna’s performance in relation to ITO-PET’s conductivity. Operating in dual bands (1.6–2 GHz UHF and 3.25–4.95 GHz S-band), the antenna’s inventive design features a slotted circular structure with a modified ground plane, crucial for achieving dual-band functionality. Despite ITO-PET’s relatively low conductivity, the antenna outperforms expectations, exhibiting a wider bandwidth in the higher band and positive gain in both bands, conforming the potential of ITO-PET. The successful realization of this innovative concept is validated through the fabrication and measurement of the antenna prototype, signaling a new frontier in transparent antenna technology.

Effects of male paratroopers' initial body composition on changes in physical performance and recovery during a 20-day winter military field training.

Changes in physiological markers and physical performance in relation to paratroopers' initial body composition were investigated during a 20-day winter military field training (MFT) and the subsequent 10-day recovery period. Body composition, serum hormone concentrations and enzymatic biomarkers, and physical performance of 58 soldiers were measured before, during, and after MFT. Comparisons were done according to soldiers' body fat percentage before MFT between low-fat (<12% body fat) and high-fat (>12% body fat) groups. Correlations between body fat percentage preceding MFT and changes in muscle mass, physical performance, and serum hormone concentrations and enzymatic biomarkers were investigated. It was hypothesized that soldiers with a higher fat percentage would have smaller decrements in muscle mass, physical performance, and serum testosterone concentration. The change in muscle and fat mass was different between groups (p <0.001) as the low-fat group lost 0.8kg of muscle mass and 2.0kg of fat mass, while there was no change in muscle mass and a loss of 3.7kg of fat mass in the high-fat group during MFT. Fat percentage before MFT correlated with the changes in muscle mass (R2=0.26, p <0.001), serum testosterone concentration (R2=0.22, p <0.001), and evacuation test time (R2=0.10, p <0.05) during MFT. The change in muscle mass was correlated with the changes in evacuation test time (R2=0.11, p <0.05) and countermovement jump test results (R2=0.13, p <0.01) during MFT. Soldiers with a higher initial fat percentage lost less muscle mass, and had smaller decrements in some aspects of physical performance, as well as in serum testosterone concentration during MFT.

Cognition and Educational Achievement in the Toronto Adolescent and Youth Cohort Study: Rationale, Methods, and Early Data

BackgroundBoth cognition and educational achievement in youths are linked to psychosis risk. One major aim of the Toronto Adolescent and Youth (TAY) Cohort Study is to characterize how cognitive and educational achievement trajectories inform the course of psychosis spectrum symptoms (PSSs), functioning, and suicidality. Here, we describe the protocol for the cognitive and educational data and early baseline data. MethodsThe cognitive assessment design is consistent with youth population cohort studies, including the NIH Toolbox, Rey Auditory Verbal Learning Test, Wechsler Matrix Reasoning Task, and Little Man Task. Participants complete an educational achievement questionnaire, and report cards are requested. Completion rates, descriptive data, and differences across PSS status are reported for the first participants (N = 417) ages 11 to 24 years, who were recruited between May 4, 2021, and February 2, 2023. ResultsNearly 84% of the sample completed cognitive testing, and 88.2% completed the educational questionnaire, whereas report cards were collected for only 40.3%. Modifications to workflows were implemented to improve data collection. Participants who met criteria for PSSs demonstrated lower performance than those who did not on numerous key cognitive indices (p < .05) and also had more academic/educational problems. ConclusionsFollowing youths longitudinally enabled trajectory mapping and prediction based on cognitive and educational performance in relation to PSSs in treatment-seeking youths. Youths with PSSs had lower cognitive performance and worse educational outcomes than youths without PSSs. Results show the feasibility of collecting data on cognitive and educational outcomes in a cohort of youths seeking treatment related to mental illness and substance use.

Experimental Analysis and Optimization Approach of Self-Clocked Rate Adaptation for Multimedia Congestion Control Algorithm in Emulated 5G Environment.

The congestion problem has driven many researchers to address it, among other networking issues. In a packet-switched network, congestion is essential; it leads to a high response time to deliver packets due to heavy traffic, which eventually causes packet loss. Hence, congestion control mechanisms are utilized to prevent such cases. Several interesting algorithms are proposed to focus on this dilemma, such as the Self-Clocked Rate Adaptation for Multimedia (SCReAM) designed for interactive real-time video streaming applications. One of the main issues of SCReAM is the high design complexity due to the large size of its documentation and coding. Furthermore, there is a considerable number of parameters that can be adjusted to accomplish the desired performance. This study proposes a guided parameters' tuning approach to assess and optimize the SCReAM algorithm in an emulated 5G environment through a detailed exploration of its parameters. The proposed approach consists of three phases, namely, the initialization phase, the standalone experimentation phase, and the hybrid experimentation phase. In the first phase, we illustrate the method of initializing and implementing the environment, followed by specifying the investigated parameters' settings, testing, and validation. The second phase aims to investigate SCReAM parameters in isolation to identify the effect on the performance in relation to network queue delay, smoothed Round Trip Time (sRTT), and throughput. The final phase discusses the possibility of achieving the optimum performance by combining various sets to provide researchers with clear and explicit guidelines to establish an adequate SCReAM behavior for the desired application. To the best of our knowledge, this is the first study that proposes a preliminary and comprehensive analysis of the SCReAM algorithm. Based on the proposed approach, when L4S/ECN is disabled, we reduced the network queue delay by 63.36% and increased the network throughput by 48.6% as compared to the results generated by the original design. In L4S/ECN-enabled mode, the network queue delay is reduced by 16.17% while the network throughput increased by 93%.

Association between small-for-gestational age and poor school performance in 2 500 000 children born 1973-2002.

To examine the association between infant weight for gestational age and school performance when leaving school at 16 years of age. Out of 2 525 571 infants born near- or at term, between 1 January 1973 and 31 December 2002, identified from the Swedish Medical Birth Register, 65 912 (2.6%) were born small-for-gestational age (SGA). Outcomes studied were the risk for the need for education in special school, and the final average grades. Modified Poisson regression analyses and weighted linear regression analyses were performed. An association between SGA and the need for a special school was found, irrespective of restrictions or adjustments (RR between 2.47 and 2.25). SGA was associated with final grades below the 10th and 25th percentile (RR 1.49 and 1.18, respectively). A linear relationship between maternal height and the RR for education in special school (p = 0.005), suggested that SGA is a stronger risk factor among children of tall than of shorter women. SGA increased the risk for poor school performance, and for the need for a special school. We found an association between maternal height and school performance in relation to birthweight, suggesting that maternal height should be considered when estimating the impact of SGA on later outcomes.

Contextualizing Evaluation of Performance in Volleyball: Introducing Contextual Individual Contribution Coefficients to Assess Technical Actions.

In this study, we proposed novel metrics for evaluating volleyball technical performance in relation to the action context. To assess each player's relative participation, we also introduced relative contextual coefficients. We analyzed 20 games played by the world's top eight teams during the 2019 FIVB Women's Club World Championship, using Data Volley software and Python programming. We evaluated inter- and intra-observer reliability and used binomial logistic regression models to estimate each variable's probability of having contributed to the team's set win. We calculated estimated confidence intervals, standard errors, and Wald values; and we employed Akaike's and Bayesian criteria to evaluate the model's goodness of fit. We identified optimal cut-off points using receiver operating characteristic curves, and we found that the proposed contextual evaluation coefficients prevented overestimation of a player's technical performance in uneven situations. We addressed the issue in which the winning team may be the one that scored the fewest points, and we were able to predict a team's victory with confidence. The proposed coefficients made multiple technical and contextual aspects of the game easily accessible and comprehensible, offering significant beneficial implications for coaches and players.

Are Global Factors Useful for Forecasting the Exchange Rate?

Abstract This paper applies a common factors analysis framework to an exchange rate data panel, in order to better understand the forces behind exchange rate dynamics and provide a set of variables for exchange rate forecasting. Results demonstrate the model’s ability to extract key information to under-stand the driving forces of exchange rate movements using the exchange rate Brazilian Real to U.S. dollar; in addition, the model also shows statistically significant improvement in terms of forecasting performance in relation to the random walk benchmark as well as to traditional macroeconomic models found in economics literature. JEL classification numbers: F31, F37, F47. Keywords: Exchange rate, Common factors, Forecasting.

Discrepancy Between Subjective and Objective Cognitive Performance in Relation to Depression 6 and 12 Months Post COVID-19

Discrepancy Between Subjective and Objective Cognitive Performance in Relation to Depression 6 and 12 Months Post COVID-19

A longer Achilles tendon moment arm length is not associated with superior hopping performance.

Variability in musculoskeletal and lower leg structure has the potential to influence hopping height. Achilles tendon moment arm length and plantarflexor muscle strength can influence ankle joint torque development and, consequently, hopping performance. While most studies have examined the connection of the Achilles tendon moment arm with hopping performance including the resting length, in this study we attempted to explore how the changes in Achilles tendon moment arm are related to hopping performance. Therefore, the purpose of this study was to test for correlations between foot and lower leg muscle structure parameters (i.e., muscle mass, volume, cross-sectional area and Achilles tendon moment arm length) and hopping height performance in relation to changes in Achilles tendon moment arm length. Eighteen participants (10 males 8 female) performed repetitive bilateral hopping on a force platform while sagittal plane kinematics of the lower leg were recorded. Additionally, maximal isometric plantarflexion was measured. To obtain structural parameters of the lower leg, the right lower leg of each participant was scanned with magnetic resonance imaging. The cross-sectional areas of the Achilles tendon, soleus, lateral and medial gastrocnemius were measured, while muscle volumes, muscle mass, and Achilles tendon moment arm length were calculated. Contrary to our initial assumption, longer Achilles tendon moment arm did not result in superior hopping performance. Interestingly, neither maximal isometric plantarflexion force nor muscle size correlated with repetitive bilateral hopping performance. We can assume that the mechanical characteristics of the tendon and the effective utilization of the stored strain energy in the tendon may play a more important role in repetitive hopping than the structural parameters of the lower leg.

Learning Analytics: A View on the Design and Assessment of Asynchronous Online Discussions for Better Teaching Performance

In recent years, the impact of learning analytics has been investigated and explored in higher education contexts. This article aims to show how their application in online educational contexts is providing great support for teaching performance, especially in relation to the methodology applied, the monitoring of students’ interactions and participation, and the evaluation of activities, and how it can favor improvements in student performance and satisfaction. We therefore present the results obtained from use of the DIANA (DIAlog ANAlysis) tool designed for the research project “Use of learning analytics in digital environments: impact on the improvement of university teaching practice” (LAxDigTeach-21085GE). This study followed a mixed methodology (qualitative and quantitative) to better complement the data provided by learning analytics, given that the numerical data must be meaningful in the specific context in which they are collected. The results obtained are in line with previous research and show that the use of learning analytics have helped to improve teaching performance in relation to monitoring student interactions, participation, and evaluation, but are limited in terms of improving their performance and satisfaction. No generalized conclusions can be drawn as yet in light of the fact that the research project of which this study is a part has recently completed the pilot stage and we have only analyzed the information obtained in one of the participating subjects.

Can managers’ characteristics explain European bond mutual fund performance?

This study aims to discover whether the characteristics of European bond fund managers affect mutual fund performance and risk. Based on 7,930 fund-year observations, gathered from the Morningstar database for the period 2005–2019, we have compared several performance and risk measures among team-managed and single-managed funds. We have also analysed the impact of gender diversity on fund performance and risk. Our results indicate that funds managed by teams do not exhibit statistically significant differences in performance or risk when compared to single-managed ones. Management teams with greater gender diversity do not significantly impact fund performance or risk in relation to all-male or all-female teams. Overall, our findings indicate that the underrepresentation of women in the fund industry, or gender bias, does not make economic sense.

Analysis of Crew Work Performance in Relation to Overtime Working Hours on MV. Manalagi Tisya

Overtime work refers to working hours that exceed the normal working hours set by company regulations. Overtime work is often necessary to address urgent operational needs or keadaan darurats. The limits of working hours have been established under the MLC 2006, which ensures that each crew member has working hours and rest periods in accordance with applicable regulations. The implementation of structured working hours is crucial to prevent undesirable circumstances. The research method used in this study is a qualitative descriptive method. Data sources were obtained through primary and secondary data. Data collection techniques involved observation, interviews, and documentation conducted by the researcher during sea practice on MV. Manalagi Tisya. The data analysis technique employed in this research is data reduction, data collection, and drawing conclusions. Factors causing overtime include a lack of worker skills, poor work planning, weather conditions, and frequent vessel malfunctions. Efforts to prevent overtime work on MV. Manalagi Tisya involves effective work scheduling, providing job training to enhance the crew's skills, and monitoring working hours to ensure efficient completion of tasks and avoid time wastage.

The Impact of Alcohol and ADHD Medication Use on GPA, Mental Distress, and Perceived Stress among College Students

Medication for attention-deficit/hyperactivity disorder (ADHD) is frequently abused and misused alongside alcohol on college campuses. The aim of the study was to assess the relationship between participants' alcohol use, mental distress, and academic performance in relation to their illicit use of ADHD medication. An anonymous cross-sectional survey administered online using Google Forms compiled 702 U.S. college students’ responses evaluating their drug usage, academic performance, and mental health. ADHD medication use had a positive association (p 0.05) (p 0.01) with hallmarks of mental distress and perceived stress. There was a negative association (p 0.05) (p 0.01) between alcohol use in the last 12 months and feelings of mental distress and perceived stress. There were negative associations (p 0.05) (p 0.01) found between illicit ADHD medication use and hallmarks of GPA. A positive association (p 0.05) was also found between alcohol use in the last 4 weeks and students’ positive perceptions of the effectiveness of illicit ADHD medication. These findings on the relationships between illicit usage of ADHD medication and usage of alcohol as it relates to mental health are important in broadening our understanding of some of the most important risk factors that illicit use of ADHD medication and alcohol usage can have on college students.

Well performance in relation to design, construction and wellfield operation: a case study from the fossil Ram Sandstone aquifer in southern Jordan

The Dubaydib wellfield in southern Jordan comprises 55 wells that are up to 600 m in depth, and exploits the fossil Ram Sandstone aquifer. It has an average output of 100 million cubic metres per year (Mm 3 a −1 ) and well yields of 51–80 l s −1 . Drilling fluid has affected well performance with lowest specific capacities of 1.56 l s −1 m −1 in bentonite-drilled wells, highest (5.46 l s −1 m −1 ) in water-drilled open hole constructions and in the middle range (3.07 l s −1 m −1 ) in polymer drilled wells. Well loss coefficients and skin effect values confirm these results. The productivity of wells drilled using bentonite-based drilling fluids has not improved during production, indicating that the damage has been irreversible. Well efficiency evaluations have been found to be sensitive to the method of calculation and not to provide a reliable measure of productivity. During the course of wellfield operation (2013–21) specific capacities declined from an all-well average of 3.78 l s −1 m −1 down to 3.13 l s −1 m −1 (or c. 17% reduction). The decline reflects the deepening of groundwater levels as a result of aquifer response rather than well deterioration. As groundwater extraction is from storage, specific capacities will continue to fall, with tentative estimates suggesting values down to 2.56 l s −1 m −1 after 25 years and 2.16 l s −1 m −1 after 50 years.

Hearing Loss in the Elderly: A Proposal for Intervention in Primary Health Care

To evaluate the performance of professionals regarding knowledge about hearing loss in the elderly, through theoretical and practical training by a speech therapist. An intervention study was carried out with 87 Primary Health Care professionals in a municipality of Brazil. A survey of the participants’ knowledge related to hearing loss was performed using a data collection instrument composed of items related to both sociodemographic conditions and specific questions concerning the topic. This instrument was applied in two stages: before training and after training. The participants’ performance in relation to knowledge about hearing health was estimated by subtracting the post-training score from that obtained in pre-training. Participants were classified in higher performance (≥4 points) and lower performance (&lt;4 points) groups. Other variables were collected: sex, age, occupation, schooling level, and length of professional service in health. The performance comparison estimated mean and the 95% confidence interval were calculated by the aforementioned variables using Student’s t-test. A comparison of these variables with higher performance was conducted using the X2 test with a significance level of 5%. After training, there was an increase in the average performance of about 30% ( p &lt; .01). The highest performance was more frequent among professionals who reported having high school and below levels of education ( p &lt; .01) and who were community health agents ( p = .01). The performance of the professionals regarding their knowledge about screening for hearing loss increased. The training showed low complexity and was feasible for health professionals.

Effect of Chemical Mutagenesis on Salt Tolerance of Common Beans (Phaseolus vulgaris L.) Nodulating Rhizobium

The chemical mutation is one of the important factors in the enrichment of the salt resistance capacity of the rhizobium isolates. Therefore, this study focused on 10 isolates of rhizobium collected from soil samples of Babile, Hararghe region, Ethiopia. All the collected isolates turned into a moderately yellow, yellow, and deep yellow color in yeast extract mannitol agar medium (YEMA) containing bromothymol blue after 48 h of incubation. It indicated that all the isolates were acid-producing Rhizobia. Moreover, based on colony morphology and diameter, 70% of the isolates displayed large mucoid colonies, and 30% of the isolates showed large watery colonies in YEMA media. Among the 10 isolates, 9(90%), 9(90%), 6(60%), 6(60%), 2(20%), and 1(10%), were grown at different salinity levels such as 2%, 4%, 6%, 8%, 9% and 10% of NaCl, correspondingly. The most salt-resistant wild isolate was HUCR 6 collected from Babile soil grown at 10% NaCl salinity level. A total of six mutants were considered after chemical mutagenesis based on their capacity to survive in the extreme salinity levels (11 to 14%). Mutant isolates such as HUCRM 4, HUCRM 5, and HUCRM 6 were the most tolerant Rhizobium that grew at the salinity level of 11 to 14% NaCl. The most sensitive mutant isolate was HUCRM 10 followed by the isolates HUCRM 8 and HUCRM 9 was the next sensitive mutant Rhizobia that grew only at 11% of NaCl concentration. Compared to the Rhizobium wild isolates, the mutant isolates were observed to be more tolerant to a medium containing higher concentration of NaCl, as high as 11% to 14%. Besides, 80% of the mutant isolates demonstrated effective nodulation with the common beans. The mutant isolate (HUCRM 4) showed better performance in relation to root nodule performance of Rhizobium species and increased the plant biomass production. In this study, mutant isolates HUCRM 6, which is tolerated to 14% NaCl, and HUCRM 4, HUCRM 5, and HUCRM 6 isolates tolerated at 12% salinity level. Finally, based on their symbiotic efficiency and tolerance to extreme salt levels, these mutant isolates (HUCRM 4, HUCRM 5 and HUCRM 6) were encouraged to be used for the development of Rhizobium inoculants of common beans grown under extreme saline conditions. J. Bio-Sci. 30(2): 13-22, 2022