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Brazil has been increasing its participation in the international trade market, mainly due to agricultural and forestry products, as in the case of soybeans and cellulose. This growth led to the expansion of the logistics infrastructure and its use. An important example of this trend is the port of São Luís, MA, in northern Brazil, which saw an increase in exports via rail (more than 200% growth in 6 years) and, consequently, an increase in the circulation of trains within its port complex.

This work proposes a mixed-integer linear programming model for the daily train scheduling problem at this port. All trains operated by VLI, a logistics company, are scheduled to minimize the departure times in order to improve the dwell time of freight train cars.

The railroad system in this Brazilian port consists of two classification yards, five terminals and a double-track railway for circulation. Different products such as grains, minerals, cellulose, and fuels are transported. The model also incorporates different operations at terminals and occupation restrictions due to maintenance and the physical flow of other third-party logistics companies. These features are modeled through a preprocessing step. In this phase, a series of auxiliary sets are defined to simplify constraints, circulation options are mapped, and the double-track is divided into segments based on the transit time with the objective to control track occupation.

This preprocess step also reduces the model complexity and, consequently, the computational time to solve it, as shown in the numerical tests using real-world operational data.

The main gains of the project were a reference train timetable for peak days, standardization of train crossing options, and a support tool for traffic adjustments with other rail operators.

The study was conducted to investigate the association between nonsexual predictors (personal, interpersonal, and dyad variables) and sexual satisfaction in the long-term marriages. The theoretical model was created according to the socio-ecological model proposed by Huston (2000), including 12 personal, 8 interpersonal, and 3 dyad variables as predictors. The model treated personal and interpersonal variables as level 1 variables, while dyad variables were defined as level 2. The research was performed in 14 counties of Croatia and in Zagreb, the capital of Croatia. The sample included 315 marital couples. Marital partners were interviewed individually and separately, at their home. The analysis was performed using the MLM statistical procedure. Four models were tested: (1) personal, (2) interpersonal without gender variable as predictor, (3) interpersonal with gender variable, and (4) final model made up of all groups of predictors together. In Model 1, Self-esteem and Physical attraction turned out to be predictive of sexual satisfaction. In Model 2, Emotional and Recreational intimacy were positive, while Marriage duration proved to be negative predictor. Model 3 generated same predictive variables as Model 2 plus the variable Gender. Model 4 yielded Gender, Physical Attraction, Emotional Intimacy, Participation in key decision-making, and Marital Quality as positive predictors, while Anxiety and Depression proved to be negative predictors. Obtained results are showing that in long-term marriages not only sexual variables are good predictors of marital sexual satisfaction but some nonsexual variables such as emotional intimacy, recreational intimacy, physical attractiveness, participation in key decision-making, and marital quality are also important. The results are discussed and study limitations are emphasized at the end.

The aim of this paper is to contribute to understanding of the process of innovation in the biotechnology companies operating in Brazil. The paper identifies the most critical factors in the innovation process of the enterprises in this sector; the paper then analyses the dynamics of the sector and the contribution of the universities and incubators to the innovation process and also evaluates how these elements affect the management process of the technological innovation within and outside the organization.

The research was of the qualitative exploratory type and involved seven case studies of biotechnology companies of different sizes, acting in various sectors, having undergone or not an incubation process. For interpretation of the results, content analysis was utilized.

The study indicated that, among the many obstacles to innovation, access to finance is the most critical. Partnerships have been adversely affected due to institutional and regulatory factors, namely a lack of clear laws and rules regarding intellectual property. The companies have sought to compensate by making their internal processes agile, creating flexible organizational structures and an organizational environment favourable to innovation, which is internalized, as a practice, in a tacit manner.

Limitations are associated with the case study methodology: the results presented pertain to the companies studied, and, therefore, cannot be generalized or extended to other companies or areas.

The management process of innovation occurs in an informal and less than systematic manner. The innovation process in Brazilian biotechnology companies benefits from a pro‐active posture adopted by them to manage and learn from adversity.

The paper increases understanding of the innovation process in Brazilian biotechnology companies.

The purpose of this study is to examine the role of personality traits (PTs) of individual investors on their investment intention (II). Further, to study the mediating role of overconfidence (OC) bias and financial literacy (FL) on the relationship between PTs and II.

The present study uses the quantitative approach for the data collection from the sample of 327 Indian investors investing in the stock market. The questionnaire was divided into segments to assess the investor’s PTs, OC, FL and II. The PT has been measured using the Big Five Personality Traits. Confirmatory factor analysis was used to test the reliability and validity of the constructs. The hypothesis was tested using structural equation modeling.

Findings of the study show that the PTs of an individual investor are associated with FL and II but insignificant with OC bias. Further, the FL and OC bias have a positive and significant influence on II. In addition, the mediation analysis showed that FL partly mediates the relationship between PTs and II.

The present study is helpful for financial companies, government, personal finance advisors and individual investors; they can keep in mind the behavior-related traits that can influence the investment decisions and design the portfolio accordingly. The policy-makers can implement programs on FL to enhance investment decisions in India.

This paper is unique that covers the mediating role of psychological bias, i.e. OC bias and FL, between the PTs and II of an Indian investor.

A staff canteen in the workplace can offer a healthier diet, which may lower the blood pressure (BP). The purpose of this paper is to evaluate whether the presence of staff canteen in the workplace is associated with consumption of healthy food and lower systolic and diastolic BP.

A cross-sectional study was conducted, randomly selecting workers through a multistage sampling, stratified by company size in Brazil. Demographic, socioeconomic, and life style characteristics were evaluated, and weight, height, and BP were measured. Statistical analysis used generalized linear models, controlling for design effect and confounding factors, to assess the association between BP and staff canteen and the intake of food items.

In total, 4.818 workers, aged 35.4±10.7 years, 76.5 percent men, with 8.7±4.1 years of formal education were enrolled. Prevalence of hypertension was 24.7 percent (p-value <0.001) among workers from industries with staff canteen vs 30.6 percent among those with no staff canteen. Workers of industries with staff canteen consumed higher proportion of fruits, green leafy vegetables, and milk than workers of industries without canteen, and had lower systolic and diastolic BP, independently of the frequency of intake.

Workers of industries with staff canteen consumed a healthier diet, and had lower systolic and diastolic BP, and lower prevalence of hypertension than workers from workplaces without staff canteen.

This study was the first carried out among workers of industries reporting that the presence of a staff canteen in the workplace is associated with lower systolic and diastolic BP and prevalence of hypertension.

While studies have established the important role of change agents throughout organizational change programs and emphasized the change agents’ impact on outcomes of change efforts, it could be argued that the decision-making procedure for the selection of change agents may also influence the success of organizational change programs in several ways. This research aims to explore and compare the potential influence of a traditional change agent selection procedure with a more systematic and objective approach.

A qualitative case study has been conducted, before and after testing a group decision support system for the selection of change agents in an organization that was on the verge of a major rebranding.

The main findings suggest the importance of objectivity, transparency and attention to competency in the selection procedure for the role, while providing evidence for using a systematic participative decision-support process for the selection of change agents, leading to several desirable organizational outcomes, including improvements in perception of objectivity, trust, transparency, fairness and competency related to the selection process.

Drawing from the previous studies and the presented findings, this study offers evidence on the importance of paying attention to the selection procedure for the change agent role as it could potentially have an influence on the employees across organizations and, consequently, the success of change programs.

This paper aims to investigate investors' willingness to use robo-advisors from customers' perspectives and analyzes the factors that drive them to use robo-advisors, including perceived usefulness and emotional response.

The authors extend the Cognition-Affect-Conation (CAC) framework to the behavioral domain of robo-advisor users on financial technology platforms and conduct an empirical study based on 248 valid questionnaires.

The authors find two types of factors driving the willingness to use robo-advisors: perceived usefulness, trust and perceived risk as external driving forces and investor sentiment as an internal driving force. Trust has a significant positive effect on willingness to use, and arousal in emotional response plays a mediating role between perceived usefulness and willingness to use.

This research provides valuable insights for financial institutions to engage in robo-advisor innovation from customers' perspectives.

Iodine deficiency has several adverse effects on human growth and development and it is categorized collectively as iodine deficiency disorders (IDDs). Recent estimations showed that 29.8 per cent of school-age children have insufficient iodine intake. Salt iodization is widely accepted as the best method for increasing iodine intake. In 1995, Morocco adopted the universal salt iodization strategy to reduce iodine deficiency and consequently prevent and control IDDs. This study aims to determine the benefit of this strategy on schoolchildren and adolescent by assessing iodine intake and evaluating iodine deficiency.

This transversal study was conducted on 131 children and adolescents. Iodine intake was assessed using a food frequency questionnaire. Iodine status was evaluated on 24-h urine samples and the creatinine excretion was used to validate completeness of urine collection.

The medians of urinary iodine excretion and concentration were 77 µg/day and 96 µg/L, respectively. Overall, 72.5 per cent are deficient, so mild and moderate iodine deficiencies were reported in 58 per cent and 14.5 per cent, respectively, and no child exhibited severe deficiency. A significant difference was reported between iodine deficiency and, sex and age; iodine deficiency was more pronounced in boys and children under eight years. In this study, iodine status in deficient children does not change with the consumption pattern of dairy products and eggs, and results showed no significant association (p > 0.05). However, fish consumption was significantly associated to urinary iodine concentration = 100 µg/L (p = 0.044). Average UIC in school-aged children is still inadequate and consumption of foods high in iodine remains very insufficient. Therefore, additional efforts must focus on nutritional education of Moroccan school-aged children.

In the author’s knowledge, this is the first study evaluating schoolchildren iodine status by 24-h iodine collection; the study reported association of iodine deficiency with dietary habit concerning sources of food rich on iodine.

This study investigates the effect of unproven energy reserve news on the volatility of energy firms' stocks. Thus, investors' perception of unproven energy reserves is revealed. Additionally, the study aims to determine whether the effect of the news changes according to time and volatility level.

The general autoregressive conditional heteroskedasticity (GARCH) and exponential generalized autoregressive conditional heteroskedasticity (EGARCH) models consist of the energy reserve exploration news in Turkey for the period 2009–2022 and the volatility of 14 energy stocks.

The results indicate energy exploration news's negative and significant effect on volatility. According to empirical results, energy stock volatility is most affected in the first ten days. Besides, the results show that the significant models of energy reserve news in low-volatility stocks are proportionally higher than in high-volatility stocks.

Only unproved reserve news is included in the analysis, as sufficient confirmed reserves could not be reached during the sampling period. Further studies can compare proven and unproved reserve news effects. Additionally, a similar analysis can be conducted between Turkey and another country with a similar socio-economic character to examine different investor behaviors.

This research includes indications on managing investors' reactions to unproven energy reserve news.

This study contributes to the literature by analyzing unproven reserves. Contrary to previous studies, examining stock volatility also makes the study unique.