A stabilization effect increased from biochar to peat-gel, liming agent and humic preparation, with an accompanying increase in soil pH. Although biochar showed a reduced ability to metal stabilization, the associated treatments were the most productive. The most effective amendments in multi-metallic contaminated soils need to be able to stabilize bioavailability of metals, adjust pH to the optimum for plant growth, and regulate nutrient consumption.
  Citation count can be used as a key tool to assess the quality of the published literature and because of its immense advantages it is now widely used in ranking the articles on specific topics.
 
  To extract and assess the top cited work on repetitive transcranial magnetic stimulation (rTMS) for depression treatment.
 
  Scopus Library Database was searched and two independent authors produced a list of 50 most cited articles on repetitive transcranial magnetic stimulation (rTMS) for treatment of depression. All the relevant articles having key-terms within their titles, abstract and keywords were included in our search. Our list was categorized into two categories, "mixed" and "focused".
 
  The articles in the produced list of top 50 most cited articles on rTMS for treatment of depression belong to the time period 1993-2012 with total citation count 12078. George MS was prominent in the list. '
  ' published most number of articles (n = 13) among the list. Articles were categorized on the basis of primary population and intervention into 'Focused' and 'Mixed' categories.
 
  Articles that were published before 1993 and after 2012 on rTMS for depression couldn't made it to the final list of top-50 most cited article.
 
  We attempted to conduct a topic-specific citation analysis considering the paucity of specified bibliometrics in medical literature. Our research provides an insight on emerging trends in rTMS for depression and highlights the characteristics, quality and dynamics of frequently cited articles in the field.
 We attempted to conduct a topic-specific citation analysis considering the paucity of specified bibliometrics in medical literature. Our research provides an insight on emerging trends in rTMS for depression and highlights the characteristics, quality and dynamics of frequently cited articles in the field.Mobile learning technologies are spreading rapidly in educational institutions throughout the world. Although research findings concerning the efficacy of mobile technologies for improving student outcomes are generally promising, there are still significant gaps in the research literature, particularly data from direct observational studies. This empirical investigation focused on how students made use of tablet devices and digital pens for learning Chemistry in an undergraduate university course. Observational data in the form of videos and static images, as well as, interview responses, were the main sources of data collected for the study. Activity theory was employed as the guiding theoretical framework to analyse and interpret the data. Several themes emerged from the data analyses, including the affordances of digital pen technology for facilitating reflective thinking, flexibility, peer collaboration, emerging learning and focused learning. It was also found that the use of these mobile technologies was contextualized, dependent on individual differences, and had challenges, for example, there was limited synchronicity between the operational design of the mobile devices and natural human movement. One of the main implications of the research is that when higher education institutions consider the potential benefits and challenges associated with mobile technologies they should take account of the interactions that occur between components within a system including, students, technological devices, and emerging learning processes.This study aims to characterize the spatial distribution of animal rabies in Morocco in order to provide appropriate control approaches. Descriptive analyses of the epidemiological data show that the number of reported canine rabies cases greatly underestimates the true incidence of the disease. Underreporting subsequently affects the coherence of its spatial distribution. To perform accurate geographic distribution mapping of the disease based on interpolation methods, a data set was created using data between 2000 and 2018 to compare the derived disease cases with known true values in order to identify disease clusters. The subsequent interpolation was conducted using Ordinary Kriging regression methods and the semi variogram to focus on short distances and reduce uncertainty. The estimated clusters of rabies were evaluated using a cross validation step which revealed predicted cases close to the true values. To improve the precision of analysis, the authors displayed georeferenced dog and human rabies cases reported during the last three years, demonstrating reliable results that correspond to the estimated cluster areas similar to the true disease incidence on the field. This work highlights a strong correlation between infrastructure projects (i.e.  https://www.selleckchem.com/products/rmc-9805.html  railways, roads, facilities) and rabies epizootics for several specific locations. This study is the first attempt to use geostatistics to build upon the understanding of animal rabies in Morocco and shed light on the most appropriate strategies to sustainably reduce and mitigate the risk of rabies. There has been little literature on the use of kriging methods in animal health research. Thus, this study also aimed to explore a novel method in the veterinary sciences to establish kriging as a valid and coherent analysis tool to identify the extent to which the geostatistic area can objectively support understanding on animal rabies and saw it as being highly instrumental in coping with gaps in the data.The revolution in the Information Technology (IT) field has led to a significant increase in the number of people connected to and utilizing the Internet. However, it has also introduced severe security risks valuable information such as passwords, financial accounts, and other confidential data are considered attractive targets for attackers. Cyber-attacks against this infrastructure can not only lead to data leakage but can also have significant financial implications and even lead to loss of life. Consequently, to defend against such attacks, and considering that humans have a key role in these technologies, it is important to increase cyber-security awareness. This paper focuses on measuring the current level of cyber-security awareness in Saudi Arabia, in terms of cyber-security practices, level of awareness, and incident reporting, by means of an online questionnaire with 1230 participants. The questionnaire results showed that 31.7% used public Wi-Fi to access the Internet, 51% used their personal information to create their passwords, 32.