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Presently, searching the internet for learning material relevant to ones own interest continues to be a time‐consuming task. Systems that can suggest learning material (learning objects) to a learner would reduce time spent searching for material, and enable the learner to spend more time for actual learning. The purpose of this paper is to present a system of “hybrid search and delivery of learning objects to learners”.

This paper presents a system of “hybrid search and delivery of learning objects to learners” that combines the use of WordNet for semantic query expansion and an approach to personalized learning object delivery by suggesting relevant learning objects based on attributes specified in the learner's profile. The learning objects are related to the learner's attributes using the IEEE LOM and IMS LIP standards. The system includes a web crawler to collect learning objects from existing learning object repositories, such as NEEDS or SMETE.

The presented HSDLO system has the ability to accurately search and deliver learning objects of interest to a learner as well as adjust the learner's profile over time by evaluating the learner's preferences implicitly through the learning object selections.

Since real LOM's from SMETE are not much populated, the system is tested with a limited set of attributes. The system is evaluated using a test bench rather than real learners.

The paper proposes a combination of three search techniques in one system as well an architectural solution which can be used for other types of online search engines.

This study aimed to examine the association of shift work with depression and anxiety in a large sample of formal and contractual employees of a mill steel company, Isfahan, Iran.

This cross-sectional study was performed in 2014 among 3,060 formal and contractual employees of a mill steel company Isfahan, Iran, randomly selected from 16,000 people. Data gathering was done by some validated Iranian version of self-administered questionnaires including, International Physical Activity – Short Form, Effort–Reward Imbalance, Hospital Anxiety and Depression Scale. Logistic regression was used as the main statistical method.

The results showed individuals in the rotating shift compared with day shift had a higher risk of depression (OR: 1.43; 95% CI: 1.12–1.84). Whereas after adjustment for various confounders, this relationship was not significant (OR: 1.19; 95% CI: 0.81–1.76). Anxiety was not associated with shift work, both in crude and adjusted models (OR: 1.08; 95% CI: 0.81–1.44) and (OR: 0.90; 95% CI: 0.67–1.19), respectively.

Owing to the cross-sectional design of this study, cause–effect relationships could not be inferred from our findings. All the data used in the present analysis were collected by self-administered questionnaires.

Although our findings did not show significant association between shift work and mental health, further studies are suggested for obtaining informative data worldwide in this regard among workforce particularly among industrial employees.

Few studies have addressed the effects of shift work on mental health among industrial employees worldwide, and there is no study in developing countries.

The purpose of this study was to evaluate the association of empirically derived dietary patterns with hypertension and hyperlipidemia among a large sample of Iranian industrial employees.

This cross-sectional study was done under the framework of Epidemiological Survey of Chronic Diseases on Manufacturing Employees. Major dietary patterns were derived based on a validated short form of food frequency questionnaire (FFQ) using exploratory factor analysis. Self-administered validated questionnaires were used to collect data on socio-demographic and job-related variables of participants. Multivariable logistic regression was applied for association analyses.

Higher levels of Western dietary pattern increased significantly the risk of hypertension (odds ratio [OR] = 1.85, 95% CI [1.36-2.53], P trend <0.001) and hyperlipidemia (OR = 1.45, 95% CI [1.16-1.81], p = 0.001) even after controlling for confounding variables. The traditional dietary pattern was marginally associated with a significant increase in risk of hyperlipidemia ( = 1.14, 95% CI [0.92-1.41], p = 0.084) in the fully adjusted model. However, higher levels of healthy dietary pattern were significantly associated with a decreased risk of hyperlipidemia in the final model (OR 0.80, 95% CI [0.64-0.90], p = 0.025).

To the authors’ knowledge, an association analysis between dietary patterns and major cardiovascular disease risk in workforce population over the world is scarce and has not yet been conducted among Iranian industrial employees. This study’s findings are especially relevant for the industrial workforce population because they are at high risk of other job-related risks that increase the CVD risk.