Tayangan Bermasalah Dalam Program Acara Televisi Di Indonesia

Penelitian ini bertujuan untuk menganalisis teguran yang diberikan oleh Komisi Penyiaran Indonesia(KPI) pada program-program televisi Indonesia selama tahun 2009. Metode Analisis isi digunakanuntuk mengkaji kecenderungan 123 program televisi bermasalah yang mendapat teguran KPI tersebut.Penelitian ini juga menganalisis peran KPI dalam sistem penyiaran Indonesia. Hasil penelitian menunjukkankekerasan dan sadisme, pornografi dan seksualitas, serta pelecehan terhadap nilai-nilai kesopanan danmoralitas banyak ditemukan dalam program-program televisi yang didominasi oleh program-programhiburan, seperti sinetron, infotainment, reality show, variety show, dan komedi situasi. Kondisi inidisebabkan oleh persaingan antar stasiun televisi yang sangat ketat dalam memperebutkan rating. Selainitu, persoalan regulasi penyiaran yang tidak jelas, terutama terkait dengan tumpang tindihnya wewenangantara KPI dan Departemen Komunikasi dan Informatika menyebabkan aneka permasalahan. Salahsatu masalah terbesarnya adalah masih banyaknya program-program bermasalah yang tidak layakdikonsumsi oleh publik

Identifikasi Program Corporate Social Responsibility Di Pangkalan Brandan Terhadap Rencana Pendirian Pabrik Sodium Ligno Sulfanot

Menurut Undang-Undang No 40 Tahun 2007 menyatakan bahwa setiap Perusahaan harusbertanggung jawab terhadap masyarakat dan lingkungan di mana Perusahaan itu berada. Kewajibanini mencakup pembangunan ekonomi dan lingkungan bagi masyarakat. Berkenaan dengan rencanaPertamina mendirikan pabrik baru di Pangkalan Brandan untuk memproduksi Sodium LignoSulfanat, perlu Perusahaan mengenali permasalahan-permasalahan dalam masyarakat dari persoalansosial,ekonomi, budaya dan agama. Oleh karena itu menjadi hal penting untuk mengetahui persepsimasyarakat terhadap rencana tersebut. Melalui pendekatan kualitatif,data dikumpulkan melaluiwawancara dan focus group discussion. Hasilnya menunjukkan bahwa pertama, pabrik itu dapatmeningkatkan kesejahteraan.Kedua, dapat mengurangi angka pengangguran.Ketiga, tidak merusaklingkungan. Keeampat, pabrik ini dapat mendukung kegiatan sosial masyarakat. Program CSR akandilakukan berdasarkan identifikasi yang telah diperoleh ini

Shuttle/spacelab MMAP/electromagnetic environment experiment phase B definition study

Progress made during the first five months of the Phase B definition study for the MMAP/Electromagnetic Environment Experiment (EEE) was described. An antenna/receiver assembly has been defined and sized for stowing in a three pallet bay area in the shuttle. Six scanning modes for the assembly are analyzed and footprints for various antenna sizes are plotted. Mission profiles have been outlined for a 400 km height, 57 deg inclination angle, circular orbit. Viewing time over 7 geographical areas are listed. Shuttle interfaces have been studied to determine what configuration the antenna assembly must have to be shared with other experiments of the Microwave Multi-Applications Payload (MMAP) and to be stowed in the shuttle bay. Other results reported include a frequency plan, a proposed antenna subsystem design, a proposed receiver design, preliminary outlines of the experiment controls and an analysis of on-board and ground data processing schemes

Deep White-Balance Editing

We introduce a deep learning approach to realistically edit an sRGB image's white balance. Cameras capture sensor images that are rendered by their integrated signal processor (ISP) to a standard RGB (sRGB) color space encoding. The ISP rendering begins with a white-balance procedure that is used to remove the color cast of the scene's illumination. The ISP then applies a series of nonlinear color manipulations to enhance the visual quality of the final sRGB image. Recent work by [3] showed that sRGB images that were rendered with the incorrect white balance cannot be easily corrected due to the ISP's nonlinear rendering. The work in [3] proposed a k-nearest neighbor (KNN) solution based on tens of thousands of image pairs. We propose to solve this problem with a deep neural network (DNN) architecture trained in an end-to-end manner to learn the correct white balance. Our DNN maps an input image to two additional white-balance settings corresponding to indoor and outdoor illuminations. Our solution not only is more accurate than the KNN approach in terms of correcting a wrong white-balance setting but also provides the user the freedom to edit the white balance in the sRGB image to other illumination settings.Comment: Accepted as Oral at CVPR 202

MAT-754: INTERNAL CURING OF HIGH PERFORMANCE CONCRETE USING LIGHTWEIGHT AND RECYCLED CONCRETE AGGREGATES

Concrete curing is of paramount importance in order for concrete to meet performance requirements. Conventionally, curing has been conducted by means of water sparkling, wet burlap or a curing compound. For performance and environmental reasons, internal curing has been gaining increased attention. However, more data is needed for the effectiveness of this curing technique when used in various concrete mixtures. This investigation addresses potential utilization of internal curing in high performance concrete (HPC). Internal curing was introduced by means of three aggregates: perlite, pumice and recycled aggregates; all of which were incorporated into HPC mixtures. Conventional mixtures were prepared and were thoroughly cured either by water or by a curing compound or left non-cured. Fresh concrete and Hardened concrete properties were assessed including slump, unit weight, compressive and flexural strength, and durability tests such as shrinkage assessment, rapid chloride permeability test (RCPT) and abrasion resistance. Experimental work is backed up with a simplified feasibility analysis with case study, incorporating initial and future costs to better judge potential of this technique. The outcome of this study uncovers that the addition of pre-wetted lightweight aggregates can prompt an enhancement in concrete workability and durability accompanied by a reduced shrinkage. Compressive and flexural strengths decreased with the increased replacement dosages, however several dosages were tested to reach a figure of optimum replacement. Results of this study reveal the potential of this technology in saving fresh water as well as the costs saved in maintenance and rehabilitation works

Expression of Vimentin, α-SMA and TGF-β in Different Grades of Oral Squamous Cell Carcinoma

Abstract Background: Oral Squamous cell carcinoma (OSCC) is typically discovered at an early stage; nevertheless, regional lymph node metastases are prevalent; therefore, surgical excision of the primary tumor is commonly coupled with neck dissection and radiotherapy. Cancer cells become invasive by acquiring a mesenchymal phenotype, a process known as the epithelial-to-mesenchymal transition. Vimentin, α-SMA and TGF-β expressions are believed to take part in EMT and tumor progression. Aim: this work aimed to evaluate the expression of Vimentin, α-SMA and TGF-β on OSCC progression and hence propose potential role as potential prognostic markers or therapeutic targets. Materials and methods: twenty-four specimens of different OSCC grades were divided according to Broader`s classification into three groups I, II and III. Mean area fraction of immunopositivity for Vimentin, α-SMA and TGF-β expressions as well as clinical lymph-node involvement was evaluated for each group. Results: α-SMA and TGF-β were significantly upregulated in poorly differentiated OSCC and α-SMA expression correlated with lymph node involvement. Vimentin expression was highest in moderately differentiated OSCC and didn’t correlate with lymph-node involvement. Conclusion: α-SMA is suggested to be a better prognostic factor than vimentin for OSCC progression