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Some studies on anthocyanins have revealed their antioxidant activity and beneficial effects for diabetes control and reducing the risk of coronary heart diseases. It has been found that sour cherries contain high levels of anthocyanins that possess insulin‐releasing stimulatory properties on pancreatic β‐cells in vitro. The purpose of this paper is to investigate whether concentrated sour cherry juice (CSCJ) beneficially alters serum glucose and some cardiovascular risk factors in diabetes type 2 subjects.

In this quasi‐experimental study, 19 diabetic women with FBS ≥ 110 mg/dl were recruited from patients referred to the Diabetes Clinic of Shariati Hospital. Subjects were asked to consume 40 g of CSCJ daily for 6 weeks. Before the onset of the study (week 0) and after 6 weeks, weight and blood pressure measurements were done and fasting blood samples were drawn. FBS, hemoglobin A1c (HbA1c) and blood lipid profiles were measured. In addition, a 24‐hour food record was taken from all of the individuals in both stages. The Wilcoxon signed test was used for statistical analysis.

After six weeks' consumption of CSCJ, significant reductions in body weight (p < 0.01), blood pressure and HbA1c (p < 0.05) was seen. Total cholesterol and LDL‐C decreased significantly in a sub‐group of patients (n = 12) with LDL‐C ≥ 100 mg/dl as well.

Based on the results of this study, consuming 40 g/day of CSCJ decreases body weight, blood pressure and HbA1c in diabetes type 2 women after 6 weeks and improves blood lipids in diabetic patients with hyperlipidemia.

Entrepreneurship is known to be important to the economy, and many scholars across the globe have researched it from a number of viewpoints. Currently, there is a need for an academic study to explore this area by combining sustainability value creating practices and the efforts of current entrepreneurs towards the said target, particularly in the case of the agricultural sector. While the entrepreneurship studies have mostly focused on the determinants of entrepreneurial opportunity recognition, few studies have attempted to analyze the factors influencing the entrepreneurial alertness (EA) of students, especially in relation to agricultural students. To fill this gap, this work investigated the impact of human and social capital on EA among the students of agricultural higher education in Iran.

The sample consisted of 254 agricultural students in higher education from Ilam province in the Islamic Republic of Iran, selected by the stratified random sampling method for the study. Modeling of structural equations was used in inferential statistics.

According to the results of the trial, human resources and social capital (SC) have been seen to have a strong, optimistic and measurable impact on EA. Key findings also show that human capital (HC) has an indirect, optimistic and important effect on EA through the mediator role of SC. Establishing higher education science teams, groups, networks and associations can foster opportunities to create and develop relationships and communication between agricultural students and entrepreneurs.

These findings illustrate the value of human and social resources in fostering entrepreneurship alertness among Iranian students of agricultural higher education. Considering the research results, the authors recommend some theoretical and realistic implications and suggestions for ways of promoting and increasing EA among farm students to encourage sustainable growth of agricultural careers in western Iran.

In the landscape created by digital transformation, developing the ability to adapt and innovate by absorbing and generating new knowledge has become a strategic priority for organizations. The theory of dynamic capabilities, especially from a knowledge-based perspective, has proven particularly useful in studying the phenomena of transformation and change. Moving from this premise, this paper aims to map the state of research and to define guidelines for the actualization of dynamic capabilities theory in the digital transformation era.

A structured literature review of 75 papers, using descriptive, bibliographic and content analysis, was performed to analyze the evolution of dynamic capabilities in the context of digital transformation.

Studies concerning knowledge-based dynamic capabilities for digital transformation have been clustered into five main research areas: the micro-foundation of dynamic capabilities for digital transformation; dynamic capabilities for value creation in digital transformation; dynamic capabilities for digital transition in specific industries; dynamic capabilities for “data-driven organizations”; and dynamic capabilities for digital transformation in SMEs and family firms. A future research agenda for scholars in strategic management is presented.

A conceptual framework and a future research agenda are presented to highlight directions for this promising research field concerning the renewal of dynamic capabilities in the context of digital transformation.

The originality of the paper lies in the conceptual framework aiming to systematize current research on knowledge-based dynamic capabilities for digital transformation and to provide a new conceptualization of digital dynamic capabilities, clarifying how organizations create and share knowledge in the era of digitalization.

This paper investigates the relationships between responsible leadership and employees' knowledge sharing behavior and performance in the healthcare sector. The present study provides deeper insights into those relationships by uncovering the mechanisms through which relational and ethical dimensions of responsible leadership influence knowledge sharing outcomes. Drawing on the social exchange theory, this study examines the mediating role of trust in the leader and leadership support.

Data were collected from 445 healthcare professionals in Pakistan. Structural equation modeling was employed to analyze the data.

The study findings revealed that responsible leaders enhance knowledge worker performance and knowledge sharing behavior through enhancing trusting relationships with followers and providing support. Furthermore, the authors investigated the moderating role of goal orientation, and the results showed that the effect of responsible leadership on knowledge worker performance was stronger for highly goal-oriented employees.

This research suggests that human resource managers interested in fostering knowledge sharing behaviors, must focus on cultivating responsible leadership behavior within their organizations. Furthermore, this study findings propose that HRM practices should foster employee goal orientation in order to enhance knowledge workers' performance.

This study makes a novel contribution to the literature by shifting the research focus from the traditional view of leadership to a leadership style more responsive to the reciprocity nature of the relationships between employees and leaders. By shifting the focus to a relational-ethical based leadership style, the current study was able to fully uncover the underlying mechanisms linking responsible leadership to knowledge sharing outcomes.

Dietary inflammatory potential (DIP) is a novel dietary index designed to evaluate individuals’ diets with considering inflammation and anti-inflammation score. In addition, adhesion molecules including soluble intracellular adhesion molecules-1 (sICAM-1), soluble cellular adhesion molecules-1 (sVCAM-1) and E-selectin are important biomarkers to assess endothelium dysfunction which are related to atherosclerosis and cardiovascular complications. Also, there is no study for assessing the association between adhesion molecules and DIP until now as well as other studies that assessed the relationship between dietary inflammatory index or DIP has controversy. The purpose of this cross-sectional study was to determine the correlation between DIP and endothelial markers such as E-selectin, sICAM-1 and sVCAM-1 among female nurses from Isfahan. In this study, DIP was used instead of DII.

This study was performed on 420 healthy nurses. The nurses were selected by random cluster sampling method from private and public Isfahan hospitals. A validated food frequency questionnaire (FFQ) was applied to assess the DIP. A fasting blood sample was collected for measuring the plasma levels of the endothelial markers and other variables.

After adjusting different potential confounders, no statistical association was found between DIP and sICAM-1, E–selectin and sVCAM-1 in Model I (P = 0.57, 0.98 and 0.45), Model II (P = 0.57, 0.98 and 0.45) and Model III (P = 0.67, 0.92 and 0.50) in comparison to the crude group (P = 0.35, 0.83 and 0.49, respectively).

The results revealed that the plasma levels of endothelial markers including E-selectin, sICAM-1 and sVCAM-1 were not significantly associated with DIP in female nurses.

The purpose of the paper is to predict mapping of areas vulnerable to flooding in the Ourika watershed in the High Atlas of Morocco with the aim of providing a useful tool capable of helping in the mitigation and management of floods in the associated region, as well as Morocco as a whole.

Four machine learning (ML) algorithms including k-nearest neighbors (KNN), artificial neural network, random forest (RF) and x-gradient boost (XGB) are adopted for modeling. Additionally, 16 predictors divided into categorical and numerical variables are used as inputs for modeling.

The results showed that RF and XGB were the best performing algorithms, with AUC scores of 99.1 and 99.2%, respectively. Conversely, KNN had the lowest predictive power, scoring 94.4%. Overall, the algorithms predicted that over 60% of the watershed was in the very low flood risk class, while the high flood risk class accounted for less than 15% of the area.

There are limited, if not non-existent studies on modeling using AI tools including ML in the region in predictive modeling of flooding, making this study intriguing.