Making Black Bloody Rosella Jam

The rosella (or roselle) plant originated in West Africa, but has been cultivated throughout Africa, Asia and Australia. Not only can rosella be used to make teas and jams, but every part of the plant is edible; the young leaves can be eaten raw and make great salads. Rosella is a type of hibiscus, and it has a beautiful pink flower. Although the whole plant is edible, it is the calyx (the bright red fruit) that is used to make syrups, teas or jams. If you eat it fresh, straight off the stalk, it has a sour taste. Inside the calyx is a round seed pod. If it is left to mature, it will turn brown. When dry it provides the mature seeds for the next planting. At Kebun Setaman Pejeng, our small-scale community arm and learning centre at Bamjar Panglan, Pejeng, on the island of Bali, we harvest rosella to make jam

Identification of hazardous road location based on design consistency and accident prediction model federal road in Johor

Every year road accident in Malaysia is kept rising, especially road accidents occur in between a collision with passenger cars, other motorcycles and single-motorcycle accidents. In early 2016, Johor has been mentioned as the highest ranking hazardous road accident especially federal roads. However, the problem road accident on hazardous road still unsolved even though others research has been done. This study using a new method design consistency and the accident prediction model to decreasing road accidents from occurring at hazardous road locations. The purpose of this study was to determine the relationship of accidents between motorcycles and cars on select segments Federal route 050 (Jalan Kluang – Ayer Itam – Batu Pahat) and Federal route 023 (Jalan Muar – Tangkak). These studies were related a geometry elements of access point, median, shoulder width, lane width and continuous speed of motorcycle and cars to determine value design consistency model (IC) and threshold. The data collections were GPS DG-200 to collect continuous speed data, the geometry data collection during the site visit and police data. The models were developed based on the new method of speed profiles, analysis to determine the value of the index integrated design consistency model (IC) between motorcycles and cars. The result showed similarities the value of design consistency model with hazardous locations. Hence, the developed accident prediction model was related road design consistency models and accident rates to evaluate the impact of design consistency with road safety. Therefore, based on results and analysis, some discussions of geometric elements based on design consistency result and relationship with road accident occurs between motorcycles and cars at hazardous road locations and some of recommended are provided such as improve widen shoulder for inadequate shoulder, increase enforcement for illegal parking and others

Pembudayaan keusahawanan ke arah mempengaruhi kecenderungan menceburi bidang keusahawanan dalam kalangan bakal graduan di UTHM

Kajian ini mengkaji kesan pembudayaan keusahawanan ke arah mempengaruhi kecenderungan pelajar untuk menceburi bidang keusahawanan di kalangan bakal graduan di Universiti Tun Hussein Onn Malaysia (UTHM). Kajian ini dijalankan menggunakan kaedah kuantitatif. Untuk kaedah kuantitatif penyelidik memilih untuk menggunakan borang soal selidik untuk mendapatkan data. Sampel kajian kuantitatif terdiri daripada 120 orang bakal graduan dari dua buah fakulti di UTHM iaitu Fakulti Kejuruteraan Awam dan Alam Sekitar (FKAAS) dan Fakulti Pengurusan Teknologi dan Perniagaan (FPTP). Data Kuantitatif dianalisis menggunakan perisian SPSS 17.0 (Statistical Package for Social Science). Dapatan kajian ini mendapati bahawa kebudayaan keusahawanan di UTHM masih diperingkat awal. Akan tetapi telah wujudnya ekosistem keusahawanan secara kecil-kecilan dalam usaha menggalakkan pelajar menceburi bidang keusahawanan. Selain itu, kajian ini juga mendapati tidak wujud perbezaan kecenderungan menjadi usahawan dalam kalangan bakal graduan di FKAAS dan FPTP

Pendekatan psikologi dakwah menangani histeria remaja muslim di Selangor

Gejala histeria dalam kalangan remaja di Malaysia merupakan epidemik sosial yang telah lama berlaku dalam masyarakat. Kejadian tersebut mengganggu proses pengajaran dan pembelajaran, psikologi, jasmani dan spiritual remaja. Pelbagai pendekatan pencegahan dilakukan oleh remaja dan pihak sekolah dalam menangani gejala yang berlaku, namun tidak menunjukkan pengurangannya. Oleh itu kajian ini bertujuan mengenal pasti konsep histeria, menganalisis faktor dan simptom histeria remaja, mengenal pasti pendekatan psikologi dakwah untuk menangani histeria, mengkaji kaedah pencegahan yang dilakukan remaja terhadap gejala histeria serta menganalisis hubungan antara faktor, simptom dan langkah pencegahan. Reka bentuk kajian adalah kajian tinjauan dengan menggunakan instrumen soal selidik dan temu bual. Seramai 122 orang responden yang mengalami histeria dari 10 buah sekolah di Selangor dipilih secara persampelan kelompok dan seramai 9 orang pelajar yang mengalami histeria ditemu bual. Temu bual turut dijalankan terhadap kaunselor, pakar psikiatri dan perawat perubatan Islam bagi menyokong dapatan kajian. Hasil kajian mendapati terdapat lima faktor histeria dalam kalangan remaja Muslim iaitu faktor psikologi, tekanan keluarga dan persekitaran, kepercayaan dan kebudayaan dan amalan keagamaan. Manakala dari aspek simptom, terdapat tiga bentuk simptom iaitu simptom gangguan emosi, psikiatri dan gangguan makhluk halus. Dari sudut pencegahan, remaja yang mengalami histeria kerap menggunakan pencegahan secara tazkiyah al-nafs, perawatan Islam dan psikiatri. Hasil analisis hubungan antara faktor dan simptom histeria mendapati faktor yang berhubung secara signifikan dengan ketiga-tiga simptom histeria adalah faktor psikologi, tekanan persekitaran dan kepercayaan dan kebudayaan. Manakala dari aspek pencegahan terdapat hubungan yang signifikan antara pencegahan tazkiyah al-nafs dan perawatan Islam dengan simptom gangguan emosi. Implikasi kajian dapat membantu pelbagai pihak dalam menangani punca dan simptom histeria remaja dengan menggunakan pendekatan psikologi 3 dakwah

Social media in collaborative learning in higher education : a qualitative case study of teachers’ and students’ views

In this study, it was investigated how social media are used in collaborative learning in higher education and also how it can be better used in teaching and learning according to the students and teachers. The research questions of this study were: 1) How social media are used in collaborative learning by the teachers and students in higher education for educational purposes? 2) How could social media be used in collaborative learning process in higher education, according to the students and teachers? Qualitative interviews were conducted to collect the data from ten students and five teachers from the different faculties of University of Lapland and Lapland University of Applied Sciences. In conclusion it was found that, social media were not much used in collaboration with teachers by the students of both institutions. In case of teachers, it was found that all of them were using social media in their collaborative ways of teaching design and they have found social media as useful tool to deliver their teaching. Most of the students and all the teachers found social media to be useful in their teaching and learning. But there were also some challenges faced and areas of improvements identified by them. Thus the higher educational institutions should understand the importance of using social media in teaching and learning and take initiatives to overcome the current challenges identified by the students and teachers

Improving Language Modelling with Noise-contrastive estimation

Neural language models do not scale well when the vocabulary is large. Noise-contrastive estimation (NCE) is a sampling-based method that allows for fast learning with large vocabularies. Although NCE has shown promising performance in neural machine translation, it was considered to be an unsuccessful approach for language modelling. A sufficient investigation of the hyperparameters in the NCE-based neural language models was also missing. In this paper, we showed that NCE can be a successful approach in neural language modelling when the hyperparameters of a neural network are tuned appropriately. We introduced the 'search-then-converge' learning rate schedule for NCE and designed a heuristic that specifies how to use this schedule. The impact of the other important hyperparameters, such as the dropout rate and the weight initialisation range, was also demonstrated. We showed that appropriate tuning of NCE-based neural language models outperforms the state-of-the-art single-model methods on a popular benchmark

Punishment of Criminals of Trafficking in Persons: Legal Perspective on International Guidelines and Indonesian Practices

The background of this study is that penalization is not only oriented towards the perpetrators of crimes of trafficking in persons but also oriented to the interests of victims and the community so that criminal justice aims to integrally protect various interests. The study aims to identify the punishment of criminals of trafficking in persons based on the interests of victims in Indonesian court practices as outlined by some regulations and the international community as outlined by the United Nations Office on Drugs and Crime (UNODC) and United Nations Convention Against Transnational Organized Crime (UNTOC). Considering that the study is a transnational crime, the point of view used in this study is clear to analyse the perspective of the national community and the ‎international community. Hence, the standard ‎measuring instrument used the perspective of international justice and its practical implementation by the Indonesian court. By using the library research method, the results showed that trafficking crimes are considered serious crimes by the international community. In regulating human trafficking, every country has laws regarding trafficking crimes by the applicable legal system. The theoretical contribution of this study is that each human trafficking crime case has different characteristics due to the condition of the perpetrator, the victim, the situation when the trafficking crime was committed. Therefore, as a practical contribution, the Indonesian court considers these factors which can be considered as a weighting or a reduction in sentence. The problem is incriminating and mitigating factors that must be considered in imposing penalties against traffickers. The study offers originality in investigating the factors which are burdensome and mitigate in imposing crimes against traffickers. The findings underline the principle of criminalization as the basis for imposing penalties on perpetrators of trafficking in persons by taking into account the factors of weighting and mitigation of punishment, in which the proportional principle takes precedence in addition to the other principles

The Effects Of Customer Experience And Customer Equity Dimensions In Building Service Loyalty In Private Hospitals Of Bangladesh

Konsep ‘pengalaman pelanggan’ telah membangun sebagai bidang kajian besar dalam bidang pemasaran. Walaupun tumpuan lebih diberikan kepada penyelidikan berpengalaman sejak penghujung abad ke-20, terdapat kekurangan bukti empirikal ke atas pengalaman pelanggan dan kesannya ke atas persepsi pelanggan dan kelakuan terutama dalam sektor penjagaan kesihatan The concept of ‘customer experience’ has developed as an imperious area of study within the marketing discipline. In spite of increasing attention paid to experience research since the end of the 20th century, there is a dearth of empirical evidence on the customer experience and its consequences on customer perception and behavior especially in the healthcare secto

Advancements in Image Classification using Convolutional Neural Network

Convolutional Neural Network (CNN) is the state-of-the-art for image classification task. Here we have briefly discussed different components of CNN. In this paper, We have explained different CNN architectures for image classification. Through this paper, we have shown advancements in CNN from LeNet-5 to latest SENet model. We have discussed the model description and training details of each model. We have also drawn a comparison among those models.Comment: 9 pages, 15 figures, 3 Tables. Submitted to 2018 Fourth International Conference on Research in Computational Intelligence and Communication Networks(ICRCICN 2018