Key Factor In Selection Research Articles

Seed quality and relative lignan profiles of sesame prospected from northern Ghana

The sesame seed contains oil, protein, dietary fibre, and several minerals and it is also a store of lignans. Lignans are key selection factors for sesame quality due to their health, nutritive and market value. In Ghana sesame growers rely on wild or undocumented planting seeds which are of mixed colouration and its lignan content is ambiguous. The objective of this study was to segregate street sesame seeds into component colour fractions and subsequently evaluate the consistency of lignans in the seed fractions. Sesame seeds were collected from street vendors in northern Ghana and were segregated into seed fractions based on the pericarp colour. The viability of seed fractions stored at different temperatures (ambient, 5 °C, 0 °C) over time and lignan contents of single or bulk mixed seeds were verified. The collected seeds were of mixed colouration with approximately 4 % debris, 40 % white, 36 % cream, and 20 % dark coloured seeds by weight. The viability of the seeds was 67–85 % depending on pericarp colour. White seed fractions which had the highest proportion by weight had a significantly (p = 0.0275) higher viability (85 %) than the dark seeds which had the least viability (67 %). The seeds lost viability over time. However, seeds stored at 0 °C maintained a viability of 77 % at the fourth year. There were differences in the relative abundance of lignans for both bulk seeds and, single seeds with different pericarp colours. The most abundant occurring lignans in the seeds were sesamin, sesamolin and sesaminol and its downstream glucosides. The source of seed or pericarp colour was not predictive of seed viability or lignan composition. These findings provide baseline data on seed quality including an improved storability under cold environments. It also gives an insight into how mixed seeds of variable pericarp colours can have distinct characteristics. Although the mixed coloured seeds had no implications for varied quality including lignan content, the international market for sesame requires that seeds are of consistent colour.

Key Selection Factors Influencing Animation Films from the Perspective of the Audience

The animation industry is an important part of China’s cultural and creative industries. In fact, it is the leading cultural and creative industry in China. However, there is insufficient research on the audience’s views in China’s animation industry, which has become an important research gap. Thus, an integrated approach of FAHP and GRA is proposed in this study, to analyse and evaluate the key selection factors for the Chinese animation industry from the perspective of a Chinese audience. In this research, in both FAHP and GRA models, factors such as visual appealing character, interesting performance of character animation, and easy-to-understand storyline are prioritised conditions for the selection of Chinese animation from the perspective of Chinese audiences. The main contribution of this research is to underscore the value of the hybrid MCDM model to aid Chinese animation companies in aligning their productions with audience expectations and making informed decisions. Finally, this study offers a systematic and objective model for Chinese animation selection, providing practical insights that can be applied in the industry and can serve as a valuable reference for future research in similar domains.

Role of biomarkers in the diagnosis and management of HCC.

For many cancers, biomarkers have served as an important tool across the cancer care continuum from risk stratification and early detection to diagnosis and treatment. Alpha fetoprotein (AFP) remains one of the few validated biomarkers for patients with hepatocellular carcinoma (HCC). Although AFP has shown potential for each of these steps, its performance when used alone has often been suboptimal. There continues to be discordant recommendations about AFP's value when combined with ultrasound for surveillance as well as its role in diagnostic algorithms. Conversely, high AFP levels are associated with aggressive tumor biology and survival, so it remains a key factor for selection of liver transplant candidates. There have been immense efforts to identify and validate additional biomarkers for each of these steps in the HCC care continuum. Indeed, biomarker panels have shown promising data for HCC risk stratification and surveillance among patients with cirrhosis, as well as prognostication and detection of minimal residual disease in patients undergoing HCC treatment. Several large prospective studies to evaluate the role of these emerging biomarkers in clinical practice are currently ongoing.

Optimal Dosing and Patient Selection for Electrochemotherapy in Solid Abdominal Organ and Bone Tumors.

The primary aim of this study was to analyze studies that use electrochemotherapy (ECT) in "deep-seated" tumors in solid organs (liver, kidney, bone metastasis, pancreas, and abdomen) and understand the similarities between patient selection, oncologic selection, and use of new procedures and technology across the organ systems to assess response rates. A literature search was conducted using the term "Electrochemotherapy" in the title field using publications from 2017 to 2023. After factoring in inclusion and exclusion criteria, 29 studies were analyzed and graded based on quality in full. The authors determined key patient and oncologic selection characteristics and ECT technology employed across organ systems that yielded overall responses, complete responses, and partial responses of the treated tumor. It was determined that key selection factors included: the ability to be administered bleomycin, life expectancy greater than three months, unrespectability of the lesion being treated, and a later stage, more advanced cancer. Regarding oncologic selection, all patient cohorts had received chemotherapy or surgery previously but had disease recurrence, making ECT the only option for further treatment. Lastly, in terms of the use of technology, the authors found that studies with better response rates used the ClinporatorTM and updated procedural guidelines by SOP. Thus, by considering patient, oncologic, and technology selection, ECT can be further improved in treating lesions in solid organs.

A New Tool for Holistic Residency Application Review: Using Natural Language Processing of Applicant Experiences to Predict Interview Invitation.

Reviewing residency application narrative components is time intensive and has contributed to nearly half of applications not receiving holistic review. The authors developed a natural language processing (NLP)-based tool to automate review of applicants' narrative experience entries and predict interview invitation. Experience entries (n = 188,500) were extracted from 6,403 residency applications across 3 application cycles (2017-2019) at 1 internal medicine program, combined at the applicant level, and paired with the interview invitation decision (n = 1,224 invitations). NLP identified important words (or word pairs) with term frequency-inverse document frequency, which were used to predict interview invitation using logistic regression with L1 regularization. Terms remaining in the model were analyzed thematically. Logistic regression models were also built using structured application data and a combination of NLP and structured data. Model performance was evaluated on never-before-seen data using area under the receiver operating characteristic and precision-recall curves (AUROC, AUPRC). The NLP model had an AUROC of 0.80 (vs chance decision of 0.50) and AUPRC of 0.49 (vs chance decision of 0.19), showing moderate predictive strength. Phrases indicating active leadership, research, or work in social justice and health disparities were associated with interview invitation. The model's detection of these key selection factors demonstrated face validity. Adding structured data to the model significantly improved prediction (AUROC 0.92, AUPRC 0.73), as expected given reliance on such metrics for interview invitation. This model represents a first step in using NLP-based artificial intelligence tools to promote holistic residency application review. The authors are assessing the practical utility of using this model to identify applicants screened out using traditional metrics. Generalizability must be determined through model retraining and evaluation at other programs. Work is ongoing to thwart model "gaming," improve prediction, and remove unwanted biases introduced during model training.

Estimation of Drug-Target Residence Time by Targeted Molecular Dynamics Simulations.

Drug-target residence time has emerged as a key selection factor in drug discovery since the binding duration of a drug molecule to its protein target can significantly impact its in vivo efficacy. The challenge in studying the residence time, in early drug discovery stages, lies in how to cost-effectively determine the residence time for the systematic assessment of compounds. Currently, there is still a lack of computational protocols to quickly estimate such a measure, particularly for large and flexible protein targets and drugs. Here, we report an efficient computational protocol, based on targeted molecular dynamics, to rank drug candidates by their residence time and to obtain insights into ligand-target dissociation mechanisms. The method was assessed on a dataset of 10 arylpyrazole inhibitors of CDK8, a large, flexible, and clinically important target, for which the experimental residence time of the inhibitors ranges from minutes to hours. The compounds were correctly ranked according to their estimated residence time scores compared to their experimental values. The analysis of protein-ligand interactions along the dissociation trajectories highlighted the favorable contribution of hydrophobic contacts to residence time and revealed key residues that strongly affect compound residence time.

An overview of salinity stress, mechanism of salinity tolerance and strategies for its management in cotton.

Salinity stress is one of the primary threats to agricultural crops resulting in impaired crop growth and development. Although cotton is considered as reasonably salt tolerant, it is sensitive to salt stress at some critical stages like germination, flowering, boll formation, resulting in reduced biomass and fiber production. The mechanism of partial ion exclusion (exclusion of Na+ and/or Cl–) in cotton appears to be responsible for the pattern of uptake and accumulation of harmful ions (Na+ and Cl) in tissues of plants exposed to saline conditions. Maintaining high tissue K+/Na+ and Ca2+/Na+ ratios has been proposed as a key selection factor for salt tolerance in cotton. The key adaptation mechanism in cotton under salt stress is excessive sodium exclusion or compartmentation. Among the cultivated species of cotton, Egyptian cotton (Gossypium barbadense L.) exhibit better salt tolerance with good fiber quality traits as compared to most cultivated cotton and it can be used to improve five quality traits and transfer salt tolerance into Upland or American cotton (Gossypium hirsutum L.) by interspecific introgression. Cotton genetic studies on salt tolerance revealed that the majority of growth, yield, and fiber traits are genetically determined, and controlled by quantitative trait loci (QTLs). Molecular markers linked to genes or QTLs affecting key traits have been identified, and they could be utilized as an indirect selection criterion to enhance breeding efficiency through marker-assisted selection (MAS). Transfer of genes for compatible solute, which are an important aspect of ion compartmentation, into salt-sensitive species is, theoretically, a simple strategy to improve tolerance. The expression of particular stress-related genes is involved in plant adaptation to environmental stressors. As a result, enhancing tolerance to salt stress can be achieved by marker assisted selection added with modern gene editing tools can boost the breeding strategies that defend and uphold the structure and function of cellular components. The intent of this review was to recapitulate the advancements in salt screening methods, tolerant germplasm sources and their inheritance, biochemical, morpho-physiological, and molecular characteristics, transgenic approaches, and QTLs for salt tolerance in cotton.

Application of decision support tool in design-build projects: a quasi-experiment with novice decision makers

PurposeDesign-Build (DB) is known as the alternative for Design-Bid-Build in the Malaysian construction industry. For DB projects, it is critical to adopt effective decision support tool to ensure the execution of a systematic decision-making technique. This study aimed to examine the impact of a decision support tool for novice decision makers to reject or adopt DB for their construction projects.Design/methodology/approachLiterature review and qualitative input from experts identified several key-selection factors pertaining to critical success factors and design-build drivers. This resulted in the development of Decision Support Tool for Design-Build (DST-DB). A quasi-experiment, which involved 382 novice decision makers in the construction industry, was conducted to test the DST-DB quantitatively. The participants were required to compare two construction projects using DST-DB and traditional decision-making methods. Multivariate analysis was performed to analyse all collected data.FindingsThe quasi-experiment data suggests that DST-DB enables significantly higher usability, likelihood, precision, confidence and satisfaction rate when compared to the traditional decision-making process. The pre- and post-surveys indicated that the DST-DB is effective in improving decision-making performance through selection factors of client-briefing, maximised resources and sharing expertise. The participants also agreed that DST-DB is easy to use and helps them to gain better understanding of the decision-making process for construction projects.Originality/valueThis research contributes to the existing body of knowledge through the impact of DST on the decisions of novices. The novice decision makers found that DST-DB is practically adaptable and comparatively effective for decision-making process than traditional decision-making methods. This contributes to the practical application of construction companies to provide DST-DB training to the fresh graduate employees to enhance their competencies in the decision-making process.

Unique Pathogen Peptidomes Facilitate Pathogen-Specific Selection and Specialization of MHC Alleles.

A key component of pathogen-specific adaptive immunity in vertebrates is the presentation of pathogen-derived antigenic peptides by major histocompatibility complex (MHC) molecules. The excessive polymorphism observed at MHC genes is widely presumed to result from the need to recognize diverse pathogens, a process called pathogen-driven balancing selection. This process assumes that pathogens differ in their peptidomes—the pool of short peptides derived from the pathogen’s proteome—so that different pathogens select for different MHC variants with distinct peptide-binding properties. Here, we tested this assumption in a comprehensive data set of 51.9 Mio peptides, derived from the peptidomes of 36 representative human pathogens. Strikingly, we found that 39.7% of the 630 pairwise comparisons among pathogens yielded not a single shared peptide and only 1.8% of pathogen pairs shared more than 1% of their peptides. Indeed, 98.8% of all peptides were unique to a single pathogen species. Using computational binding prediction to characterize the binding specificities of 321 common human MHC class-I variants, we investigated quantitative differences among MHC variants with regard to binding peptides from distinct pathogens. Our analysis showed signatures of specialization toward specific pathogens especially by MHC variants with narrow peptide-binding repertoires. This supports the hypothesis that such fastidious MHC variants might be maintained in the population because they provide an advantage against particular pathogens. Overall, our results establish a key selection factor for the excessive allelic diversity at MHC genes observed in natural populations and illuminate the evolution of variable peptide-binding repertoires among MHC variants.

Influence of Hydrogeological Investigation’s Accuracy on Technology of Shaft Sinking and Design of Shaft Lining—Case Study from Southern Poland

Accuracy of hydrogeological and geotechnical investigation in place of shaft sinking is a key factor for selection of sinking method and design of the shaft lining. The following work presents the influence of the rising level of accuracy of geological data gathered in the area of shaft sinking in the Silesian Coal Basin and technical projects of shaft lining and technology of its sinking, which have been changing over the years. The initial project of the shaft was repeatedly modified. Each modification eventuated in rising requirements for the shaft lining, such as increasing its thickness or changing concrete class. It has become necessary to use additional methods of reinforcing rock mass around the shaft.

Simulation of Package Delivery Optimization using a Combination of Carriers and Drop-Ship

A variety of goods and services in the contemporary world requires evolutionary improvement of services e-commerce platform performance and optimization of costs. Contemporary society is deeply integrated with delivery services, purchasing of goods and services online, that makes competition between service and good providers a key selection factor for end-user.. As long as logistic, timely, and cost-effective delivery plays important part authors decided to analyse possible ways of improvements in the current field, especially for regions distantly located from popular distribution canters and drop-ship delivery networks. Considering both: fast and lazy delivery the factor of costs is playing an important role for each end-user. The work proposes a simulation that analyses the current cost of delivery for e-commerce orders in the context of delivery by the Supplier Fleet, World-Wide delivery service fleet, and possible vendor drop-ship and checks of the alternative ways can be used to minimize the costs. Special attention is given to Drop-Ship networks as the factor of possible costs decrease. The main object of investigation is focused around mid and small companies living far from big distribution canters, in the rural areas but actively using e-commerce solutions for their daily activities. The authors analysed and proposed a solution for the problem of cost optimization for packages delivery for long-distance deliveries using a combination of paths delivered by supplier fleets, worldwide, local carriers and drop-ship networks. Data models and Add-ons of contemporary Enterprise Resource Planning systems have been used, and additional development is proposed in the perspective of the flow selection change for combination of carriers. The experiment is based on data sources of the United States companies using a wide range of carriers for delivery services and uses the data sources of the real companies; however, it applies repetitive simulations to analyse variances in obtained solutions for different combinations of carriers.

An embedded system to measure ground-based solar irradiance signal

This paper describes the construction, design, and testing of a low-cost intelligent system to measure ground-based global solar irradiance signal. The prime characteristics of this developed system are accuracy, portability, minimize directional response, regulated internal temperature, protection from environmental hazards, remote monitoring, and finally, the cost which is much lower than the conventional pyranometer. The sensor module is designed using multiple sensors to achieve better directional response. The sensor module also has an electro-mechanical system to protect from different environmental hazards. The monitoring station has a graphical end with soft buttons for controlling the functionality of sensor station through a reliable wireless channel. The developed system tries to minimize the traditional shortcomings associated with solar radiation measurement system and offers mean absolute error of 1.27 W/m2 and average directional response error of 6.76%. This system can be utilized in solar radiation measurement applications where cost is a key factor for selection.

Proteins in assemblages formed by phase separation possess properties that promote their transformation to autoantigens: Implications for autoimmunity

Autoantibodies in systemic autoimmunity are directed against only ~5% of the proteome. The purpose of this study was to assess whether the properties of assemblages (also known as Membraneless Organelles and Biological Condensates) and their protein constituents partly explain the immunological selectivity of autoimmunity. Assemblages arise from phase separation of their protein components, akin to partitioning of oil droplets in water. We obtained from a prediction algorithm (Vernon et al., elife7, 2018) the propensity scores (PScores), i.e., likelihood, for phase separation of autoantigens and non-autoantigens. We then compared autoantigens with the highest PScores to identify shared structural properties. The mean PScores for autoantigens (n = 1050) and the entire human proteome of non-autoantigens (n = 17,532) were 1.46 and 1.09 (p = 1.2E-08). To varying extents, the 25 autoantigens with the highest phase separation propensities shared additional features such as compositional bias, repeated domains, coiled coil regions, nucleic acid binding, and disorder. Most of these properties were present with greater frequencies than their frequencies in the non-autoantigens. We conclude that, on average, autoantigens have a higher predisposition to undergo phase separation, thus, they are more likely to exist in assemblages compared with the average non-autoantigen. We suggest that assemblage formation and the greater than average presence of certain structural features are key factors in selection of a portion of the autoimmune repertoire. Other properties of assemblage proteins, such as high concentration and tendency to form novel complexes with other proteins, may partially explain why assemblages are potent sources of autoantigens.

The Cost of Board Examination and Preparation: An Overlooked Factor in Medical Student Debt

ObjectiveBoard examinations in undergraduate medical education are imperative for competency assessment and a standard licensure process. While the cost of attendance and mean indebtedness of medical students have been quantified, the financial burden experienced by medical students from board preparation and examination has never been quantified.Materials and methodsA total of 290 fourth-year osteopathic medical students from 38 osteopathic medical schools completed an anonymous survey that asked them to select the resources they had purchased for board preparation. Along with demographic information, respondents were asked which board examinations they had taken during their medical school education. The price for each resource was located by going to the resource website and finding the “list price” of a brand-new copy/version of that resource. If a price was not found, a current Amazon.com “list price” was utilized. These prices best approximate the maximum a student would spend per resource. Response and statistical analysis such as analysis of variance, post hoc comparison (Scheffé and Bonferronis test), and chi-square tests were conducted using the Statistical Package for Social Sciences (SPSS) Statistics, version 25.0 (IBM SPSS Statistics, Armonk, NY).ResultsThis study found that osteopathic medical students spent, on average, $7,499 (s.d.=$2,506) for board preparation and examination. This cost when isolated is $3,370 for the cost of taking board examinations and $4,129 for the cost of board preparation. Respondents from the West were found to spend most at $9,432, while students from the Northeast spent the least, $7.090. Additionally, non-traditional medical students, those who matriculated after the age of 30 were found to spend more than individuals who began when they were under the age of 25 or between the ages of 25-30. The two most commonly used resources for both Level 1/Step 1 and Level 2/Step 2 examinations were COMBANK and UWorld. Conclusions/relevanceThis study is the first of its kind to quantify the mean cost of board preparation and examination in undergraduate medical education at $7,499. When considering the mean indebtedness of the osteopathic graduating class of 2017-2018, 2.94% of medical education debt can be attributed to the cost of board preparation and assessments. As competitiveness for graduate medical education increases, individuals will spend more money to ensure a competitive board exam performance, a key selection factor. Stakeholders in undergraduate medical education are encouraged to further understand the interplay between medical student debt and the cost of board examinations and preparation.

Abstract WP188: Clinical Characteristics and Therapy Content of Stroke Patients admitted to Inpatient Rehabilitation Facility versus Skilled Nursing Facility

Introduction: Post-stroke functioning is thought to be a key factor in selection of inpatient post-acute care setting after stroke (i.e. inpatient rehabilitation facility, IRF, or skilled nursing facility, SNF), but significant practice variation exists. There is also limited data on how therapy intensity differs between IRF and SNF. Here we describe the characteristics of patients admitted to IRF versus SNF and analyze the therapy content at each setting. Methods: This was a retrospective study of Medicare fee-for-service beneficiaries hospitalized in 2011 with a primary acute hospital stroke diagnosis (ICD-9 CM 431, 433.x1, 434.x1, 436). We quantified patient characteristics on admission to each setting and minutes of therapy using Medicare standard analytic files. The main outcome measures were Functional Independence Measure (FIM) in IRF settings and Pseudo-FIM (a cross-walk referenced score based on FIM-like assessments) in SNF settings. Results: Of the stroke hospitalizations in 2011, 31957 patients were discharged to IRF and 28327 to SNF. SNF patients were more likely to have dementia and g-tubes, while IRF patients were more likely to have received tPA. The initial FIM/pseudo-FIM motor and ADL scores were similar across the two populations mean (SD)— 24.3 (9.7) motor, 17.4 (6.8) ADL for IRF; 25.4 (8.3) motor, 16.5 (5.6) ADL for SNF. Patients at IRF received a mean of 906.9 minutes (median 832, IQR 712.4) of therapy over 15.5 (7.6) days, while patients at SNF received a mean of 785.8 minutes (median 585.1, IQR 708.4) over 29.3 (28.6) days. 34% of SNF patients received more total PT minutes than the median IRF patient. Conclusions: Surprisingly, baseline function was quite similar between stroke patients discharged to a SNF or an IRF. Also, because the average length of stay at SNF was much longer, the total amount of therapy received by patients between IRF and SNF was similar. This practice pattern variation may be a tool to identify optimal rehabilitation strategies.

Social Sustainability in a Supply Chain: Key Factors in Selection of a Non-Compliant Supplier

What contributes to a buying firm’s selection of a supplier that fails to comply with its social sustainability standards? We propose that important contributing factors exist at the institutional ...

Identifying Key selection Factors of Mobile Network Operator and Analysing their Importance Versus Performance from SME Customers Perspective

Identifying Key selection Factors of Mobile Network Operator and Analysing their Importance Versus Performance from SME Customers Perspective

TEKNOLOGI PENGOLAHAN AIR ASAM TAMBANG BATUBARA “Alternatif Pemilihan Teknologi”

Acid Mine Drainage (AMD) treatment systems can be broadly categorised as either active or passive systems, which differ according to their ability to handle Acidity, flow rate and Acidity Load of the influent AMD. Most passive and active systems utilise aggregate carbonate to neutralise the pH and encourage precipitation of metals as hydroxides or sulphide minerals. In addition, passive treatment systems often use organic matter to provide alkalinity and create reducing conditions which favour the precipitation of metal sulphides.Active treatment systems can be engineered to accommodate essentially any acidity, flow rate and acidity load. Active treatment of AMD can be achieved using fixed plants or portable equipment for in-situ treatment. Passive treatment systems are almost invariably used for post closure treatment scenarios, and are best suited to AMD with low Acidity and low flow rates. The key factors in selection and design of active and passive AMD treatment systems are water chemistry including pH, metals, sulphate levels and redox state and flow rate of influent AMD, and the objectives of AMD treatment. Other important factors include capital and operating costs, availability of suitable treatment reagents or materials and sludge management issues. Keywords: Acid Mine Drainage, Active Treatment, Passive Treatment, Coal Mining.

Electron-driven proton transfer enables nonradiative photodeactivation in microhydrated 2-aminoimidazole.

2-Aminoimidazole (2-AIM) was proposed as a plausible nucleotide activating group in a nonenzymatic copying and polymerization of short RNA sequences under prebiotically plausible conditions. One of the key selection factors controlling the lifespan and importance of organic molecules on early Earth was ultraviolet radiation from the young Sun. Therefore, to assess the suitability of 2-AIM for prebiotic chemistry, we performed non-adiabatic molecular dynamics simulations and static explorations of potential energy surfaces of the photoexcited 2-AIM-(H2O)5 model system by means of the algebraic diagrammatic construction method to the second order [ADC(2)]. Our quantum mechanical simulations demonstrate that 1πσ* excited states play a crucial role in the radiationless deactivation of the UV-excited 2-AIM-(H2O)5 system. More precisely, electron-driven proton transfer (EDPT) along water wires is the only photorelaxation pathway leading to the formation of 1πσ*/S0 conical intersections. The availability of this mechanism and the lack of destructive photochemistry indicate that microhydrated 2-AIM is characterized by substantial photostability and resistance to prolonged UV irradiation.

Key Metabolites and Mechanistic Changes for Salt Tolerance in an Experimentally Evolved Sulfate-Reducing Bacterium, Desulfovibrio vulgaris.

ABSTRACTRapid genetic and phenotypic adaptation of the sulfate-reducing bacterium Desulfovibrio vulgaris Hildenborough to salt stress was observed during experimental evolution. In order to identify key metabolites important for salt tolerance, a clone, ES10-5, which was isolated from population ES10 and allowed to experimentally evolve under salt stress for 5,000 generations, was analyzed and compared to clone ES9-11, which was isolated from population ES9 and had evolved under the same conditions for 1,200 generations. These two clones were chosen because they represented the best-adapted clones among six independently evolved populations. ES10-5 acquired new mutations in genes potentially involved in salt tolerance, in addition to the preexisting mutations and different mutations in the same genes as in ES9-11. Most basal abundance changes of metabolites and phospholipid fatty acids (PLFAs) were lower in ES10-5 than ES9-11, but an increase of glutamate and branched PLFA i17:1ω9c under high-salinity conditions was persistent. ES9-11 had decreased cell motility compared to the ancestor; in contrast, ES10-5 showed higher cell motility under both nonstress and high-salinity conditions. Both genotypes displayed better growth energy efficiencies than the ancestor under nonstress or high-salinity conditions. Consistently, ES10-5 did not display most of the basal transcriptional changes observed in ES9-11, but it showed increased expression of genes involved in glutamate biosynthesis, cation efflux, and energy metabolism under high salinity. These results demonstrated the role of glutamate as a key osmolyte and i17:1ω9c as the major PLFA for salt tolerance in D. vulgaris. The mechanistic changes in evolved genotypes suggested that growth energy efficiency might be a key factor for selection.