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This paper aims to present a solution to dredging the irrigation canals using a robotic system. Considering the importance of irrigating water, the waste within the water canals should be avoided. Irrigation canals are artificial linear structures in the landscape that are used for transporting the water. One important problem in water transferring is the waste materials flow inside the water, and in some areas, they block the main stream, reducing the effective capacity of the canal. Among the waste materials, aquatic plants are grown on the surface of the canal that needs to be removed from the canal. This removal operation is conducted using chemical, biological, ecological and physical methods with complex supply systems. In addition, robotic systems are used as such complex systems. So, a robotic system is proposed to dredging the irrigation canals. The assumed robot was manufactured in AGRINS laboratory of Tehran University.

Design procedure, dynamic modelling and simulation of this robotic system are studied. To validate the system design before its construction, ADAMS software is used to perform simulations. Finally, performance evaluation of the dredger robot in the canal is studied based on the experimental data.

Results show that the design procedure has been correctly fitted to the real condition. Therefore, the designed robot could be easily used to dredging irrigation canals.

The assumed robot was manufactured in AGRINS laboratory of Tehran University.

Performing a dredging operation in the canals could be conducted by a new technique considering both free sides of the canal. Therefore, in this paper, a conceptual design of a 3-wheels stair dredger robot is numerically and experimentally studied.

The aim of this work was to study the effect of the different temperatures on drying kinetics and quality parameters of vacuum oven-dried mediterranean or black mussel (Mytilus galloprovincialis) specimens.

Drying process was performed at 50, 60 and 70 °C and a vacuum drying pressure of 0.1 kPa. The proximate composition analysis was done. Drying rates of the mussels were computed. Mathematical modeling was carried out. Effective moisture diffusivity, activation energy and total energy consumption were calculated. Color measurement was conducted.

Drying took place entirely in the falling rate period. The obtained results indicated that the drying air temperature has a remarkable influence on the moisture content and drying rate. Drying resulted in a significant increasing of protein and fat content. The D_eff values ranged from 1.44 × 10⁻⁹–3.23 × 10⁻⁹ m²/s, with the activation energy 4.47 kW kg⁻¹. The Alibas model is the most proper model to define the drying curves. This method provided high energy efficiency and quality in dried products.

Fresh mussels grown in Eceabat location were used as the study sample. In the drying process, 50, 60, 70 °C temperatures and 0.1 kPa pressure was used. These are the limitations of the research.

This work is the first to report the influence of vacuum oven drying on the color changes and drying kinetics of black mussels.

Fishes are important sources of good and high-quality protein in developing countries. Spoilage and keeping quality of fish especially in the tropics is temperature dependence as high temperature and relative humidity accelerate the process of spoilage and fish keeping quality. Fish dehydration removed moisture and extended the shelf life of dried fish. Drying involves removal of moisture from fish as a result of heat and mass transfer done under controlled conditions. This study delves into various drying techniques and drying kinetics of fish.

The review examines fish drying kinetics and the various drying models applicable to fish drying.

This review showed that moisture content and colour of dried fish are affected by time and power level. It was also found that the moisture content of the dried fish varied according to the drying method used. Also, as drying power and drying rate varied inversely with drying time. Eight different thin layer drying models were examined for evaluation of drying data for all the experimental conditions involving fish drying. It was found that the quality of the dried fish decreased with drying. Higher values of effective moisture diffusivity have been found to increase moisture velocity within fish samples which improve removal of moisture to reach equilibrium moisture content at specified relative humidity. However, based on this, effective moisture diffusivity could be a useful parameter to design an effective drying method in terms of time, energy consumption and cost to prolong the storage life of dried fish samples. Drying kinetics and different drying models were considered and explained. The use of these models was considered to be important in choosing appropriate drying conditions for effective drying and to get good quality dried fish samples.

The review considers few available literatures on the subject matter.

The review explores the possibility of creating more awareness for more in-depth research on fish drying kinetics and their usefulness in fish preservation.

This outcome of this study is important to researchers, policymakers and regulatory agencies in developing countries on fish preservation.

This study aims to find out the participation rate of women in the utilization of screening methods to determine the relationship of sociodemographic health characteristics and breast cancer (BC) awareness with the utilization of screening methods. The authors’ study aims to examine the relationship between women's belief and the utilization of screening methods.

A cross-sectional study was conducted in three health centers from December 13, 2016 to June 12, 2017. A questionnaire was constructed for data collection about sociodemographic characteristics, screening awareness and medical and health background variables. Additionally, BC awareness measure and champion health belief model scales were used to measure women's perceptiveness about BC.

Despite the awareness among 78.9% of women regarding clinical breast examination (CBE) as a screening method, only 9.5% women utilized it for screening. Due to prescription by physicians for diagnosis of BC, 23.6% women had done mammography at least once in their life. Having jobs and a good education significantly influenced the utilization of CBE as a screening method. The logistic regression analysis found that old age, family history of BC, good knowledge about BC, perceived susceptibility, low rate of perceived barriers to mammography and CBE predicted participation in screening.

Enhancing knowledge about BC and screening, emphasizing the susceptibility to BC and the benefits of screening will help in better participation. Importance should be given to illiterate and unemployed women.

The impact of diet quality on mental health has gained strong ground. However, most studies on this relationship were performed before COVID-19, a pandemic that was accompanied by high levels of psychological stress. Stress disturbs normal physiology, which makes studying diet quality and mental health under high stress a necessity. In addition, COVID-19 has been associated with disturbances in sleep and has increased the prevalence of mental health issues in women more than in men. Therefore, the purpose of this study was to assess food group consumption and sleep during different stages of the pandemic in relation to mental distress among men and women. Secondary data collected from adults 18 years or older between September 2018 and November 2021 was analysed. Temporal stages were divided into pre-COVID-19 (as a baseline), during the lockdown, and after the ease of restriction (two periods of different psychological stress levels). Regression analyses using a Difference-in-Difference (DID) event study or a Dynamic DID modelling were used. COVID-19 seemed to have a modulatory effect on food groups and mental health. The pandemic appeared to have either magnified the negative impact of certain food groups or changed the tolerance threshold for the beneficial ones. Across the board, women’s moods exhibited higher sensitivity to several food groups. COVID-19, a period of high psychological stress, differentially altered the impact of food on the mood of men and women; which proposes the need to further evaluate diet quality and mood under stressful conditions.

Schools should be adequately built and operated to protect students' health. Green building rating systems, including Leadership in Energy and Environmental Design (LEED), assist the construction industry in improving both the resource efficiency and indoor environmental quality of its buildings. Construction professionals may waive some green modifications and available optional credits due to their high costs or construction complexities. This study investigates whether cost-effective green modifications can adequately address the student health.

In an effort to identify how school projects in Dubai, UAE prioritized LEED credits related to occupant well-being, the study identified eight LEED credits (called “Health and wellbeing” credits). Cost data from a sample of nine Dubai schools were used to develop an indicator, named the Feasibility Index Score (FIS), to quantify the attractiveness of LEED credits based on their cost and implementation complexity. Physical measurements taken from the sample schools give a window into current indoor environmental quality (IEQ) conditions of schools in the local region, while FIS provides insight into potential financial barriers towards improving these conditions.

The authors identified eight “Health and wellbeing” credits, which may net up to 14 points or 13% of all possible LEED points. Despite this, assessments of the sample schools revealed that six of the “Health and wellbeing” credits exhibited relatively low FIS values. This may cause these credits to be waived when lower tiers of LEED certifications are desired.

A sample of nine schools was chosen for this research; further investigation using a greater sample size is recommended.

The paper's IEQ assessment indicates the importance of health-related credits and suggests implementing them regardless of their FIS.

This paper recognizes the importance of providing more weight to credits that directly impact the health of occupants, particularly when upgrading existing structures.

Green building (GB) is globally acclaimed as the most formidable solution to the adverse effects that buildings and construction activities have on the climate and environment. Nonetheless, current evidence suggests that the adoption of GB in developing countries of Sub-Saharan Africa (SSA) is at a snail’s pace and characterized by the absence of GB codes and frameworks. This paper aims to determine the current level of adoption and implementation of GB concepts and technologies in the Ghanaian construction industry (GCI).

An exploratory method of investigation involving a quantitative approach was used to achieve the objectives of this study. A literature review was conducted, and a questionnaire survey was conducted among 292 stakeholders in the GCI. The survey data was analyzed using descriptive and inferential statistics as well as other quantitative analysis techniques.

The analysis revealed that the five most applied green building technologies (GBTs) are technologies for optimizing site planning, building orientation and configuration, use of natural ventilation, integrative use of natural lighting with electric lighting systems, application of energy-efficient lighting systems and use of permeable paving: low-traffic areas. Notably, the majority of the GBTs belong to the energy-efficiency technologies category.

The findings indicate that GBTs are gaining momentum in Ghana and that there is a need for ongoing research to develop new and more environmentally friendly building technologies to aid in the preservation of our society and natural resources to achieve United Nations Sustainable Development Goals (UN SDGs) 12 and 13.

In effect, this study will enhance the awareness of GB development and contribute to the GB body of knowledge, particularly in the context of developing countries. It would also be useful to the GCI’s contribution to achieving the UN SDGs.

The WHO Eastern Mediterranean Regional Office has emphasized health system strengthening among the top five strategic priorities. One of the integral elements of health systems are the hospitals. The purpose of this paper is to review the need for formalized training in hospital management to improve the quality of care.

Literature review and hands on experience of conducting a regional training in hospital management for Eastern Mediterranean Region (EMR) countries.

Majority of patients in EMR bypass Primary Health Care facilities due to inadequate quality of services and prefer seeking specialized care at a tertiary level. There is mounting evidence of mediocre to poor patient satisfaction due to inefficient health care practices in hospitals of EMR. Strengthening the management capacity of the hospitals through a formal training programme is therefore necessary for improving the performance of health care delivery and the overall health system. Hospital management encompasses hospital planning and operational activities including development and implementation of organizational strategies to ensure adequate numbers and quality of trained human resources and effective financial management, disaster management, health management information system utilization, support services, biomedical engineering, transport and waste management. Such training will prepare health care professionals with leadership skills to deliver quality hospital services.

This is one of the first papers emphasizing the need for a formal structured regional training in hospital management for the countries of EMR. A modular incremental training approach developing an EMR Credit Transfer and Accumulation system is proposed.

The enrichment of bread with non-digestible prebiotic ingredients may exert health-promoting effects and provide healthier food choices for those suffering from metabolic diseases, including obesity and diabetes. The purpose of this study was to investigate the effects of ß-glucan and resistant starch incorporation on the glycemic index (GI) and glycemic load (GL) of white bread.

Seven different formulations of prebiotic bread were produced using different proportions of ß-glucan (0.8, 1 and 1.2 per cent), resistant starch (5.5, 8 and 10.5 per cent) and the combination of resistant starch and ß-glucan in a ratio of 4:0.5.

The GI and GL of the prebiotic bread prepared with 1 per cent ß-glucan (w/w) were 55.7 and 7.8, respectively, whereas those of the prebiotic bread prepared with 8 per cent resistant starch (w/w) were 64.8 and 8.42, respectively, with both breads having significantly lower GI and GL values than the control (P < 0.05). It was concluded that the incorporation of 1 per cent ß-glucan may be beneficial in producing prebiotic bread with both low GI and low GL.

Although white bread is a main food source in human diet, its high GI and GL make it an unhealthy food choice. The incorporation of ingredients with prebiotic effects, such as ß-glucan and resistant starch, can improve the nutritional value of this product by lowering its GI and GL.

In this paper, a Quality of Service-sensitive customer behavior model graph (QoS-CBMG) is proposed for use in service quality adaptation in e-commerce systems. Success in achieving customer satisfaction and maximizing profit in e-commerce is highly dependent on the QoS provided. However, providing high-level QoS for all customers in all Web sessions is often deemed costly and inefficient. Therefore, a QoS-sensitive model for formulating QoS-aware offers to customers is required. The paper aims to respond to this necessity.

Process mining is adopted as the knowledge extraction technique for developing a QoS-CBMG. If it is assumed that user navigation on a website is a process, then clickstreams during one user’s navigations can be considered process steps.

The application of both QoS-CBMG (the new model) and CBMG (the classic version) to the same real data set demonstrated that the proposed method outperforms CBMG due to its reduction of average absolute error in the measurement scale. This finding also verifies the assumption that customer behavior is sensitive to the level of QoS.

From a theoretical viewpoint, the obtained QoS-CBMG facilitates the adaption in e-commerce systems, which leads to conduct the user to the desired behavior by tuning QoS levels in different Web sessions in a dynamic manner. This implication is due to the fact that QoS-CBMG can predict the upcoming clickstream of the customer at different QoS levels.

Using the proposed model for the adaptation of service quality in e-commerce websites not only results in the efficient management of the provider’s resources but also encourages customer purchases from the website and increases profitability. It is noteworthy that with the advent of cloud computing, e-commerce websites are enabled to provide various levels of QoS for their customers by supplying their basic services (e.g. infrastructure, platform) through cloud platforms.

According to the best of our knowledge, no previous model has taken into account the QoS dimension for customer behavior modeling. The main contribution of this paper is to propose a CBMG that is sensitive to the QoS provided to customers during their navigation to formulate QoS-aware offers to them.