Internship courses, unlike others, are multi-pronged because they require coordination at different levels. Typically, a faculty member coordinates the communication and implementation at each level to achieve the desired outcomes. We call the position that this faculty holds the “internship coordinator”. For the work of the internship coordinator to be successful, he/she may need to synchronize the work of the internship with all parties involved. Failure to coordinate at one level or another may affect the work of other parties involved in completing the internship for the students. This paper explains the experience of an internship program at the computer science department (COSC) at Indiana University Indiana University of Pennsylvania (IUP). We focus on the work of the internship coordinator for this program and his work to communicate and coordinate to successfully implement the internship experience for the students. We first discuss the theoretical foundation that led to the development of internship programs in academia and then elaborate on the multiple levels of the role of the internship coordinator in completing the internship experience for the students.

One of the key attempts towards a collective African vision is the New Economic Partnership for African Development (NEPAD). Barnard and Vonk (2003) report that “53 countries have been urged to implement ICTs in three crucial development arenas: education, health and trade”. While NEPAD and other initiatives have contributed to the provision of ICT infrastructure with positive results as seen in the growth of Internet uses, the disparities in development across Africa are enormous. The challenge to Higher Education Institutions in Africa has been summarised by Colle (2005): “central to creating digital resources and academic infrastructure is the question of universities’ relevance to the world around them, and especially to the challenge of being an active player – ‘an anchor of a broad-based poverty alleviation strategy’ in an increasingly knowledge-based economy”. It can be inferred from Colle that the activities of HEIs in Africa ought to be geared towards contributing to the realisation of the Millennium development goals.

Return on Investment (ROI) is one of the most popular performance measurement and evaluation metrics. ROI analysis (when applied correctly) is a powerful tool in comparing solutions and making informed decisions on the acquisitions of information systems. The purpose of this study is to provide a systematic research of the accuracy of the ROI evaluations in the context of information systems implementations. Measurements theory and error analysis, specifically propagation of uncertainties methods, were used to derive analytical expressions for ROI errors. Monte Carlo simulation methodology was used to design and deliver a quantitative experiment to model costs and returns estimating errors and calculate ROI accuracies. Spreadsheet simulation (Microsoft Excel spreadsheets enhanced with Visual Basic for Applications) was used to implement Monte Carlo simulations. The main contribution of the study is that this is the first systematic effort to evaluate ROI accuracy. Analytical expressions have been derived for estimating errors of the ROI evaluations. Results of the Monte Carlo simulation will help practitioners in making informed decisions based on explicitly stated factors influencing the ROI uncertainties.

Aim/Purpose: The present study examines the effect of perceived organisational and co-worker support on the adjustment of repatriates and its impact on their intention to transfer knowledge in multinational companies (MNCs). It also examines the relationship between perceived organisational support, co-worker support, and knowledge transfer through the mediating role of repatriate adjustment. Background: The ability of acquiring and utilising international knowledge is one of the core competitive advantages of MNCs. This knowledge is transferred by MNCs across their subsidiaries efficiently through repatriates, which will result in superior performance when compared to their local competitors. But in MNCs the expatriation process has been given more emphasis than the repatriation process; therefore, there is limited knowledge about repatriation knowledge transfer. Practically, the knowledge transferred by repatriates is not managed properly by the MNCs. Methodology: The proposed model was supported by Uncertainty Reduction Theory, Organisational Socialisation Theory, Organisational Support Theory, and Socialisation Resource Theory. The data were gathered from 246 repatriates working in Indian MNCs in the manufacturing and information technology sectors who had been on an international assignment for at least one year. The data obtained were analysed using Structural Equation Modeling (SEM) using AMOS 21 software. Contribution: The present study expands prior research on repatriate knowledge transfer by empirically investigating the mediating role of repatriate adjustment between perceived support and repatriate knowledge transfer in MNCs. The present study also highlights that organisational and co-worker support during repatriation is beneficial for repatriate knowledge transfer. It is important that MNCs initiate support practices during repatriation to motivate repatriates to transfer international knowledge. Findings: The results revealed that both perceived organisational and co-worker support had a significant role in predicting repatriate adjustment in MNCs. Furthermore, the results also revealed that perceived organisational and co-worker support increases repatriate knowledge transfer through repatriate adjustment in MNCs. Recommendations for Practitioners: This study indicates the role of management in motivating repatriates to transfer their knowledge to the organisation. The management of MNCs develop HR policies and strategies leading to high perceived organisational support, co-worker support, and repatriate adjustment. They need to pay particular attention to the factors that affect the repatriates’ intention to share knowledge with others in the organisation. Recommendation for Researchers: Researchers can use the validated measurement instrument which could be essential for the advancement of future empirical research on repatriate knowledge transfer. Impact on Society: The present study will assist MNCs in managing their repatriates during the repatriation process by developing an appropriate repatriation support system. This will help the repatriates to better adjust to their repatriation process which will motivate them to transfer the acquired knowledge. Future Research: Future research can adopt a longitudinal style to test the different levels of the adjustment process which will help in better understanding the repatriate adjustment process. Additionally, this model can be tested with the repatriates of other countries and in diverse cultures to confirm its external validity. Furthermore, future research can be done with the repatriates who go on an international assignment through their own initiative (self-initiated expatriates).

Aim/Purpose: This study aims to examine the ten factors from the Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), and Unified Theory of Acceptance and Use of Technology (UTAUT) theories in order to analyze behavioral intentions to use the Indonesian online capital market investment platforms and the effect of behavioral intentions on actual usage. Background: The potential growth of capital market investors in Indonesia is large, and the low use of the Internet for investment purposes makes it necessary for stakeholders to understand the factors that affect people’s intentions to invest, especially through online platforms. Several previous studies have explained the intention to use online investment platforms using the TAM and TPB theories. This study tries to combine TAM, TPB, and UTAUT theories in analyzing behavioral intentions to use an online capital market investment platform in Indonesia. Methodology: The research approach employed is a mixed method, particularly explanatory research, which employs quantitative methods first, followed by qualitative methods. Data were collected by conducting interviews and sending online surveys. This study was successful in collecting information on the users of online capital market investment platforms in Indonesia from 1074 respondents, which was then processed and analyzed using Covariance-Based Structural Equation Modeling (CB-SEM) with the IBM AMOS 26.0 application. Contribution: This study complements earlier theories like TAM, TPB, and UTAUT by looking at the intention to use online capital market investment platforms from technological, human, and environmental viewpoints. This study looks at the intention to use the online capital market investing platform as a whole rather than separately depending on investment instruments. This study also assists practitioners including regulators, the government, developers, and investors by offering knowledge of the phenomena and factors that can increase the capital market’s investment intention in Indonesia. Findings: Attitudes, perceived ease of use, perceived behavioral control, subjective norm, and national pride were found to be significant predictors of the intention to use online investment platforms in Indonesia, whereas perceived usefulness, perceived risk, perceived trust, perceived privacy, and price value were not. Recommendations for Practitioners: All practitioners must be able to take steps and strategies that focus on factors that have a significant impact on increasing usage intentions. The government can enact legislation that emphasizes the simplicity and convenience of investment, as well as launch campaigns that encourage people to participate in economic recovery by investing in the capital market. Meanwhile, the developers are concentrating on facilitating the flow of investment transactions through the platform, increasing education and awareness of the benefits of investing in the capital market, and providing content that raises awareness that investing in the capital market can help to restore the national economy. Recommendation for Researchers: Further research is intended to include other variables such as perceived benefits and perceived security, as well as other frameworks such as TRA, to better explain individuals’ behavioral intentions to use online capital investment platforms. Impact on Society: This study can help all stakeholders understand what factors can increase Indonesians’ interest in investing in the capital market, particularly through online investment platforms. This understanding is expected to increase the number of capital market participants and, as a result, have an impact on economic recovery following the COVID-19 pandemic. Future Research: Future research is expected to investigate additional factors that can influence individuals’ behavioral intention to use an online capital market investment platform, such as perceived benefits and perceived security, as well as the addition of control variables such as age, gender, education, and income. International research across nations is also required to build a larger sample size in order to examine the behavior of investors in developing and developed countries and acquire a more thorough understanding of the online capital market investment platform.

Aim/Purpose: This research utilized a learn-to-rank algorithm to provide medical recommendations to prescribers. The algorithm has been utilized in other domains, such as information retrieval and recommender systems. Background: Ranking the possible medical treatments according to diagnoses of the medical cases is very beneficial for doctors, especially during the coding process. Methodology: We developed two deep learning pointwise learn-to-rank models within one prediction pipeline: one for predicting the top possible active ingredients from disease features, the other for ranking actual medicines codes from diseases and the ingredients features. Contribution: A new learn-to-rank deep learning model has been developed to rank medical procedures based on datasets collected from insurance companies. Findings: We ran 18 cross-validation trials on a confidential dataset from an insurance company. We obtained an average normalized discounted cumulative gain (NDCG@8) of 74% with a 5% standard deviation as a result of all 18 experiments. Our approach outperformed a known approach used in the information retrieval domain in which data is represented in LibSVM format. Then, we ran the same trials using three learn-to-rank models – pointwise, pairwise, and listwise – which yielded average NDCG@8 of 71%, 72%, and 72%, respectively. Recommendations for Practitioners: The proposed model provides an insightful approach to helping to manage the patient’s treatment process. Recommendation for Researchers: This research lays the groundwork for exploring various applications of data science techniques and machine learning algorithms in the medical field. Future studies should focus on the significant potential of learn-to-rank algorithms across different medical domains, including their use in cost-effectiveness models. Emphasizing these algorithms could enhance decision-making processes and optimize resource allocation in healthcare settings. Impact on Society: This will help insurance companies and end users reduce the cost associated with patient treatment. It also helps doctors to choose the best procedure and medicines for their patients. Future Research: Future research is required to investigate the impact of medicine data at a granular level.

Aim/Purpose: This study investigates the relationship between Electronic Word-of-Mouth (EWOM), Information Adoption, and the stock investment of Vietnamese investors. Background: Misinformation spreads online, and a lack of strong information analysis skills can lead Vietnamese investors to make poor stock choices. By understanding how online conversations and information processing influence investment decisions, this research can help investors avoid these pitfalls. Methodology: This study applies Structural Equation Modelling (SEM) to investigate how non-professional investors react to online information and which information factors influence their investment decisions. The final sample includes 512 investors from 18 to 65 years old from various professional backgrounds (including finance, technology, education, etc.). We conducted a combined online and offline survey using a convenience sampling method from August to November 2023. Contribution: This study contributes to the growing literature on Electronic Word-of-Mouth (EWOM) and its impact on investment decisions. While prior research has explored EWOM in various contexts, we focus on Vietnamese investors, which can offer valuable insights into its role within a developing nation’s stock market. Investors, particularly those who are new or less experienced, are often susceptible to the influence of EWOM. By examining EWOM’s influence in Vietnam, this study sheds light on a crucial factor impacting investment behavior in this emerging market. Findings: The results show that EWOM has a moderate impact on the Information Adoption and investment decisions of Vietnamese stock investors. Information Quality (QL) is the factor that has the strongest impact on Information Adoption (IA), followed by Information Credibility (IC) and Attitude Towards Information (AT). Needs for Information (NI) only have a small impact on Information Adoption (IA). Finally, Information Adoption (IA) has a limited influence on investor decisions in stock investment. We also find that investors need to verify information through official sites before making investment decisions based on posts in social media groups. Recommendations for Practitioners: The findings suggest that state management and media agencies need to coordinate to improve the quality of EWOM information to protect investors and promote the healthy development of the stock market. Social media platform managers need to moderate content, remove false information, prioritize displaying authentic information, cooperate with experts, provide complete information, and personalize the experience to enhance investor trust and positive attitude. Securities companies need to provide complete, accurate, and updated information about the market and investment products. They can enhance investor trust and positive attitude by developing news channels, interacting with investors, and providing auxiliary services. Listed companies need to take the initiative to improve the quality of information disclosure and ensure clarity, comprehensibility, and regular updates. Use diverse communication channels and improve corporate governance capacity to increase investor trust and positive attitude. Investors need to seek information from reliable sources, compare information from multiple sources, and carefully check the source and author of the information. They should improve their investment knowledge and skills, consult experts, define investment goals, and build a suitable investment portfolio. Recommendation for Researchers: This study synthesized previous research on EWOM, but there is still a gap in the field of securities because each nation has its laws, regulations, and policies. The relationships between the factors in the model are not yet clear, and there is a need to develop a model with more interactive factors. The research results need to be further verified, and more research can be conducted on the influence of investor psychology, investment experience, etc. Impact on Society: This study finds that online word-of-mouth (EWOM) can influence Vietnamese investors’ stock decisions, but information quality is more important. Policymakers should regulate EWOM accuracy, fund managers should use social media to reach investors, and investors should diversify their information sources. Future Research: This study focuses solely on the stock market, while individual investors in Vietnam may engage in various other investment forms such as gold, real estate, or cryptocurrencies. Therefore, future research could expand the scope to include other investment types to gain a more comprehensive understanding of how individual investors in Vietnam utilize electronic word-of-mouth (EWOM) and adopt information in their investment decision-making process. Furthermore, while these findings may apply to other emerging markets with similar levels of financial literacy as Vietnam, they may not fully extend to countries with higher financial literacy rates. Hence, further studies could be conducted in developed countries to examine the generalizability of these findings. Finally, future research could see how EWOM’s impact changes over a longer period. Additionally, a more nuanced understanding of the information adoption process could be achieved by developing a research model with additional factors.

Aim/Purpose: The study aims to examine the mediating role of job motivation and affective and normative commitment on the relationship between perceived organizational support (POS) and job turnover intention. Background: POS refers to employees’ beliefs and perceptions concerning the extent to which the organization values their contributions, cares about their well-being, and fulfils their socio-emotional needs. To date, research has shown that employee turnover is a complex construct resulting from the interplay of both individual and organizational variables, such as motivation and climate. Methodology: Cross-sectional data were collected from 143 employees of an Italian industrial company. Paper-and-pencil questionnaires were used to assess respondents’ POS, job motivation, affective and normative organizational commitment, and turnover intentions. Contribution: Specifically, in this research, we aim at examining (i) the indirect effect of POS on turnover intention via (ii) job motivation and (iii) normative and affective commitment. Findings: Results show that high POS is associated with high levels of job motivation and affective and normative commitment, which in turn are negatively linked to turnover intentions. Recommendation for Researchers: Researchers should not lose sight of the importance of studying and delving into the concept of turnover intention given that, from an organizational point of view, losing personnel means losing competencies, which need to be replaced through assessment, selection, training, and development, processes that are often challenging and expensive. Future Research: Future research should further investigate the role of motivation and commitment, other than additional variables, for POS and turnover intention. Longitudinal studies and further testing are required to verify the causal processes stemming from our model. Future research could consider linking employees’ self-reported measures with objective data concerning turnover rates.

If partnering with local firms is an intuitive strategy with which to mitigate uncertainty in foreign ventures, then why don't organizations always partner with local firms, especially in uncertain settings? We address this question by unbundling the effects of uncertainty in foreign ventures at the venture and country levels. We contend that, while both levels increase the need for partnering with local firms in foreign ventures, country-level uncertainty increases the difficulty of partnering with local firms and decreases the likelihood of such partnerships. We also posit that experiential learning helps firms manage the two types of uncertainty, and thereby reduces the need for partnering—yet, experience in the host country makes partnering more feasible and increases the likelihood of such partnerships. To test our hypotheses, we conceptualize the decision to partner with a local firm in a foreign venture as a multilayered decision, and model it accordingly. Using a global sample of venture capital investments made between 1984 and 2011, we find support for the distinct effects of venture- and country-level uncertainty as well as for corresponding levels of experiential learning. These findings have implications for the literature on cross-border venture capital investment and international business in general.

This study investigates Anglo expatriate managers learning, knowledge acquisition, and adjustment to the host culture when working within Anglo multi-national companies operating in China. A structural equation model based on data from 121 expatriate managers reveal that Anglo managers adjust more effectively when their learning styles are congruent with the demands of the host culture. Their levels of accumulated managerial tacit knowledge and adaptive flexibility were also associated with their learning styles which in turn led to more effective adjustment to the host culture. Implications for theory, global manager development, and expatriate management are provided.

We study the interplay between regulatory mandates and competition on a focal firm's new resource investments. While prior literature has separately pointed to the influence of competition and regulatory policy on a focal firm's resource decisions, less is known about how the policy effect interacts with the competitive effect. Studying how regulatory mandates moderate the effect of competition on a focal firm's new resource investments, we show that resource redeployment is not simply a function of internal firm decisions but a response to external forces. We find that regulatory mandates dampen the effect of competitors' new resource investments on a focal firm's new resource investments. Distinguishing between different clean technology types, we show that this dampening effect is the stronger, the more distant the new resource is from incumbents' old resource base, and the more established the mandate is. We test our hypotheses in the context of renewable energy investments in waste-to-energy, wind, and solar in the U.S. electricity industry. Our data comprises 1542 utilities and private energy firms and their renewable investments from 1999 to 2010.

U.S. President-elect Donald Trump on Tuesday named Elon Musk and former Republican presidential candidate Vivek Ramaswamy to lead a newly created Department of Government Efficiency, rewarding two of Trump’s well known supporters from the private sector.

Musk and Ramaswamy “will pave the way for my Administration to dismantle Government Bureaucracy, slash excess regulations, cut wasteful expenditures, and restructure Federal Agencies,“ Trump said in a statement.

Trump said the new department “will provide advice and guidance from outside of government,“ signaling the entity would operate outside the confines of government.

However, it would work with the White House and Office of Management & Budget to “drive large scale structural reform, and create an entrepreneurial approach” to government never seen before.

Trump said their work would conclude by July 4, 2026, making it a “gift” to the country on the 250th anniversary of the signing of the Declaration of Independence.

Musk, ranked by Forbes as the richest person in the world, already stood to benefit from Trump’s victory, with the billionaire entrepreneur expected to wield extraordinary influence to help his companies and secure favorable government treatment.

Musk gave millions of dollars to support Trump’s presidential campaign and made public appearances with him. Trump had said he would offer Musk a role in his administration promoting government efficiency.

He has many links to Washington, opens new tab and his lineup of companies includes electric car company Tesla (TSLA.O), opens new tab, social media platform X and rocket company SpaceX.

“This will send shockwaves through the system, and anyone involved in government waste, which is a lot of people!” Musk said, according to Trump’s statement, which called the new government initiative “potentially ‘The Manhattan Project’ of our time,“ referring to the U.S. plan to build the atomic bomb that helped end World War Two.

Ramaswamy is the founder of a pharmaceutical company who ran for the Republican presidential nomination against Trump and then threw his support behind the former president after dropping out.

“We will not go gently, @elonmusk,“ Ramaswamy said on X.

Musk reposted the announcement from Trump on his X account and added comments such as that, “The merch will be (fire),“ using three fire emojis, and, “People have no idea how much this will move the needle!”

He also posted: “Threat to democracy? Nope, threat to BUREAUCRACY!!!”

The acronym of the new department - DOGE - coincides with the name of the cryptocurrency dogecoin that Musk promotes.

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PETALING JAYA: TM Global, the wholesale business arm of Telekom Malaysia Bhd (TM), will expand its Klang Valley Data Centre (KVDC) in Cyberjaya and Iskandar Puteri Data Centre (IPDC) in Johor, addressing the growing demand for domestic and international data hosting services.

This is the next phase in TM’s strategic roadmap to grow its infrastructure ecosystem and position Malaysia as a preferred digital hub in Southeast Asia, aligning with its aspiration to become a digital powerhouse by 2030.

These expansions and TM’s partnership with Nxera to develop a hyperconnected, artificial intelligence-ready data centre, lays the foundation for digital services such as cloud, advanced analytics, AI and the Internet of Things.

Scheduled to begin commercial operations in 2025, the second phase of both KVDC and IPDC will deliver a combined IT load of about 20MW. The expansion will meet Uptime Institute’s Tier-III standards, and the Leadership in Energy and Environmental Design Silver Rating for long-term sustainability, a globally recognised green building certification.

TM Global executive vice-president Khairul Liza Ibrahim said, “KVDC and IPDC are integral infrastructures in Malaysia’s digital ecosystem, serving as international gateways and interconnected points to support 5G networks. This second phase of our data centre expansion will feature sustainable designs, boosting our capacity to support hyperscalers,

OTT players, cloud and next generation AI providers, as well as enterprises.”

TM Global’s data centres are complemented by seven regional Edge Facilities located throughout the country. These support high-performance computing and co-location services to bring content closer to end-users with minimal latency.

“We have enhanced our data hosting services with a recent acquisition of the Facilities-Based Operator licence in Singapore, allowing us to provide seamless, secure data centre-to-data centre connectivity through our extensive domestic fibre optics network and international submarine cable systems. This enables us to meet the growing connectivity demands across the region, linking data centres from Thailand to Malaysia, Singapore, and Batam in Indonesia,” Khairul Liza said.

TM Global offers a comprehensive suite of platform-based services, including multi-edge computing and content delivery, to elevate data hosting solutions. These services are tailored to optimise performance and efficiency, ensuring a robust and reliable data-driven network for customers. Leveraging its extensive network infrastructure, TM Global equips carriers, enterprises, hyperscalers, over-the-top services, and next-generation AI application providers with the tools necessary to drive innovation and seamless digital integration.

BATU KAWAN: US-based medical devices company Dexcom Inc has officially opened its manufacturing facility, also its first offshore manufacturing site outside the United States, in Batu Kawan, Penang.

Penang Chief Minister Chow Kon Yeow said the RM2.83 billion strategic investment will bring more than 3,000 jobs to the state, contributing to a workforce set to positively impact the lives of over three million people worldwide.

Dexcom, founded in 1999, is a global leader in continuous glucose Monitoring (CGM) technology for individuals living with diabetes.

“The establishment of this new facility highlights Dexcom’s continued commitment to take control of health through innovative CGM systems. It also reaffirms Penang’s reputation as a global hub for advanced technological industries, reinforcing its position as a preferred destination for high-quality manufacturing and innovation,” the chief minister said in his speech at the opening ceremony here today.

Chow said Penang is on the right path towards becoming the medical technology (medtech) hub of Southeast Asia by leveraging on the state’s over 50 years of industry excellence.

“Housing the largest number of medtech companies nationally and regionally, Penang remains a highly attractive location for its infrastructure availability and ecosystem that meet the needs of the medtech industry.

“For the past five years (2019-2023), Penang garnered a total of RM5.8 billion worth of investments in the scientific and measuring equipment sector, representing 45% of the nation’s total investments in this sector, involving 33 projects and generating an estimated 4,630 employment opportunities,” he said.

Dubbed the Silicon Valley of the East, Penang has the highest concentration of medical technology companies in Malaysia and Southeast Asia to date. – Bernama

Ejaz shared birthday celebrations in her YouTube vlog; voiced concerns about inadequate private hospital facilities

Nature Conservation Act 2024 targets Margallah Hills' protection with revenue generation and strict penalties.

This tutorial will show you how to edit html/css files in Shopify.

The post Shopify. How to edit html/css files appeared first on Template Monster Help.

This tutorial shows how to create a menu in HTML. Usually to create a menu we use an onordered list. You can for sure use the div, span, p or other tags but unordered list gives you more flexibility in …

The post HTML. How to create a menu appeared first on Template Monster Help.

This tutorial will show you how to create a vertical and horizontal menus in HTML using CSS styles. Before you proceed please make sure you are familiar with unordered list HTML tags. Also please check the tutorial on how to …

The post HTML/CSS. How to create vertical and horizontal menu appeared first on Template Monster Help.

Farrell died the same day as Grigori Rasputin, the infamous mystic whose story made the subject of Boney M’s hit...

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Robin Kachfi & Justin Rudd - BMX Christmas Session

Our team riders Robin Kachfi and Justin Rudd have met on Christmas Eve for a quick BMX session in Mannheim Feudenheim. Viel Spaß beim Video, Dein kunstform BMX Shop Team!

Video: Robin Kachfi

Music: Lil Yello x Cartierrudd - Diamonds Lit
Soundcloud: https://soundcloud.com/user-861137051

Abonnier unseren youtube channel: https://www.youtube-nocookie.com/kunstformbmxshop

On the 26th of may 2018, the "Bikestation Letmathe" BMX Contest in Iserlohn will take place again. The Contest will start at 11am and the practice will start one hour before at 10am.
Come and show your skills!



Start:
10am Practice
11am Contest


Adress:
Skatepark
In der Läger 17
58644 Iserlohn


More infos on Facebook.

At the 27th October 2018, the BTM Halloween-Jam will take place the third time in a row at the Rolling Bonez e.V. Freiberg Skatepark. The contest will be splitted in 3 groups. The Contest fees are for Group A: 5€ - Group B: 4€ - Kids (U12) 2€ a part from that every one who's dressed up for Halloween must only pay half. Everyone got 2 runs inlcuding 1 best trick. Food, drinks and music will be provided, so just come over and have a good time.

All the best, your kunstform BMX Shop Team!

What:
BTM Halloween-Jam #3

When:
27th of October 2018

Where:
Skatehalle Freiberg
Fuchsmühlenweg 13
09599 Freiberg


More infos on Facebook.

LEGOLAND Malaysia has revealed two forthcoming gifts with purchase on its Facebook page.

40701 Ballerina & Nutcracker Scene and 40702 Christmas Picture Frame will be free at the theme park during December and I think it's safe to say that they'll be available at LEGO.com around the same time as well.

View a larger picture after the break.

Via Brick Fanatics.

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