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Illegal street hawkers issue facing the local authorities in Sarawak: A case study of urban streets in Kuching City
Street hawking is an urban phenomenon in both developed and developing countries around the world. Several plans and strategies have been developed by the local authorities to address issues arising from hawking activities. There is no exception for the urban local authorities in Kuching Cit
The impact of performance expectancy on purchasing travel products via online travel agents websites: Gender as moderator
Development of A Dynamic Wallpaper Selection Method with Measurement Features Using A Mobile Platform With Augmented Reality Technology
The monopoly practice and unfair business competition in the technology transfer activity through the foreign patent in Indonesia
Law Number 5 of 1999 concerning the
prohibition of the monopoly practice and unfair business competition
as well as the Agreement on trade-related aspects of Intellectual
Property Rights signed by the World Trade Organization, with respect
to the license agreement of the foreign patent. Based on the issue,
as established previously in this journal, the expected outcome
of increased information dissemination to countries using patent
licensing agreements in technology and information development
related to any matter in intellectual property specifically in licensing
agreement, has a higher possibility for monopoly c practices and unfair
business competition. Therefore, it shows that, in principle, in order
to prevent the licensing of foreign patents that lead to monopoly
practice and unfair business competition, a country must establish a
controlling entity to supervise the execution of the foreign patents and
at the same time, enact harmonious rules and regulations with such
supervision
The pre-contractual duty of disclosure in the palestinian civil code draft and its role in maintaining economic contractual equilibrium
Many recent legislations and international principles tend to apply
the pre-contractual duty of disclosure as one of the most substantial
principles governing the pre-contracting phase, such as Article
1112-1 of the Amended French Civil Code of 2016, Article 1337
of the Amended Italian Civil Code and Article 13 of Chapter of
the Common European Sales Law, etc. However, the Palestinian
legislature has ignored enacting legal provisions imposing the precontractual duty of disclosure. In this regard, this paper suggests orientations for the formulation of the provisions of the pre-contractual
duty of disclosure in the Palestinian Civil Code Draft (PDCC). To do
so, a comparative analytical approach with the French Civil Code is
used to illustrate the Palestinian legislative deficiencies and the urgent
need to legislate a legal article which obligates the negotiating party
to disclose any substantial information for the satisfaction of the
other party. As such, the contractual equilibrium entails that the precontractual duty of disclosure has its own independent essence from
all the theories that the jurisprudence adopted as a legal basis for this
duty
A study of air velocity in a cooling tower that affects the diameter of the droplet
The study of air velocity inside the cooling tower gives an overview of the process of heat or mass transfer. This study developed mathematical modelling based on the principle of continuity and statistical thermodynamics to track changes in radius, velocity, density, and temperature of droplets and air along with the droplet trajectory or tower height. Before that, the droplet radius range is predicted in advance to get the accuracy of the calculation. Also, water capacity and fan rotation are
varied to determine their effect on cooling tower performance. The calculation results showed that 18 Lpm capacity gives efficiencies above 50%, while for 0.5 Lpm capacity, it produces efficiencies in between 25% to 40%. The highest efficiency indicates that the evaporation process occurs most efficiently. Mathematical modelling in calculations can also describe the increase in air temperature, which usually uses numerical simulations
An assessment of information technology infrastructure readiness towards E-Waqf property management initiatives
The implementation of Information Technology (IT) in the daily management and administration is a very crucial and essential move for every organization nowadays. The implementation of IT in a waqf institution could help to ease as well as enhances the level of efficiency and effectiveness of the management team, especially when dealing with waqf property management. Studies that, as to date, waqf institutions in Malaysia still lack in the use of IT especially in managing the waqf property. The problems often arise in waqf property management such as information of waqf property is not centralized, data are unstructured and difficulties in data retrieval which caused it to be time consuming and inefficiency in the overall waqf property management. Thus, the implementation of an information system to manage the waqf property by the waqf institution is very crucial in ensuring the competitiveness of the organization. As part of the e-Waqf property management initiative, this study was conducted to assess the waqf institution readiness towards e-Waqf property management initiatives. A qualitative method using a case study design with a semi-structured interview has been conducted with a representative from a waqf institution in Malaysia. Assessment from the elements of readiness which focus on IT infrastructure shows a good level of readiness by the top management towards the e-Waqf property management initiative. However, the systems and communication element shows a low level of readiness. Results from this study could contribute to the e-Waqf property management readiness among the waqf institution as one of the push factors that will change the way waqf property is managed in every waqf institution. Hence, this will lead to the optimally utilized of waqf property for the benefits of the Ummah in the future
Heat transfer enhancement using passive technique: review
Preserving and saving energy have never been more important, thus the requirement for more effective and efficient heat exchangers has never been more important. However, in order to pave the way for the proposal of a truly efficient technique, there is a need to understand the shortcomings and strengths of various aspects of heat transfer techniques. This review aims to systematically identify these characteristics two of the most popular passive heat transfer techniques: nanofluids and helically coiled tubes. The review indicated that nanoparticles improve thermal conductivity of base fluid and that the nanoparticle size, as well as the concentrations of the nanoparticles plays a major role in the effectiveness of the nanofluids. Regarding the helically coiled tubes, it was discovered that the use of a coiled tube produces secondary flows, which ultimately improves the heat transfer enhancement. The third part of the review focused on microchannels and microtubes. This is mainly due to the growing need and requirement of smaller and more compact thermal cooling systems. Thus, ultimately the result of the review indicates that a combination of all these three techniques can lead to a compact and minimized heat exchanger that uses the benefits obtained from both nanofluids and helically coiled tubes in order to improve the heat transfer rate of the thermal systems
Evaluating the gear stress of novel reverse rotation bit manual screwdriver design for miniscrew implants
One of the problems faced by the screwdrivers used for craniomaxillofacial implant fixation is that the maximum torque required for implant removal is significantly higher than the maximum torque needed for inserting implants. Another problem is that the hand torque produced by a right-handed person is lower in the counterclockwise direction, which is the removal direction for miniscrews. The novel design presented here of a manual screwdriver equipped with an epicyclic gear will produce a reverse bit rotation and provide the mechanical advantage of higher torque output. In this study,
simulations were conducted by varying the torque input within the range of 0-1000 Nmm with an applied load in each simulation to be adapted based on the epicyclic gear set. The materials used in this study are AISI 316L and Ti6Al4V. The maximum Von Mises stress value was observed in the sun gear from the second gear set at 522.59 MPa (AISI 316L) and 430.76 MPa (Ti6Al4V) for the maximum torque input, which was followed by the planetary and ring gear from the second gear set and then the planetary gear, ring gear, and sun gear from the first gear set. The total deformation
also showed the difference between the two materialsthe deformation when using AISI 316L as the material was lower than when using Ti6Al4V
Sarcasm detection in Persian
Sarcasm is a form of communication where the individual states the opposite of what is implied. Therefore, detecting a sarcastic tone is somewhat complicated due to its ambiguous nature. On the other hand, identification of sarcasm is vital to various natural language processing tasks such as sentiment analysis and text summarisation. However, research on sarcasm detection in Persian is very limited. This paper investigated the sarcasm detection technique on Persian tweets by combining deep learning-based and machine learning-based approaches. Four sets of features that cover different types of sarcasm were proposed, namely deep polarity, sentiment, part of speech, and punctuation features. These features were utilised to classify the tweets as sarcastic and nonsarcastic. In this study, the deep polarity feature was proposed by conducting a sentiment analysis using deep neural network architecture. In addition, to extract the sentiment feature, a Persian sentiment dictionary was developed, which consisted of four sentiment categories. The study also used a new Persian proverb dictionary in the preparation step to enhance the accuracy of the proposed model. The performance of the model is analysed using several standard machine learning algorithms. The results of the experiment showed that the method outperformed the baseline method and reached an accuracy of 80.82%. The study also examined the importance of each proposed feature set and evaluated its added value to the classification