Effect of Supplementary Cyan Light to Deep Red and Royal Blue Range Wavelengths on the Seedling Period of Iceberg Lettuces

In this article, effect of cyan (≈500 nm) light on the plant growth as a supplementary light source to common deep red (≈660 nm) and royal blue (≈440) lights is examined. For this purpose, a 4-floor shelf was prepared containing Vernalia type iceberg lettuce (Lactuca sativa) seeds. Carbon dioxide content of air, soil moisture, air humidity, environment temperature, water, pH, electrical conductivity, fertilizer and nutrient contents were controlled at desired values; being same for the whole system. Second and third floors were lighted 18 hours a day, with the same photosynthetic photon flux density (PPFD) of 360 μmol m-2 s-1. Third floor’s lighting was composed of 65% deep red and 35% royal blue lights. Second floor’s lighting was composed of 55% deep red, 25% royal blue and 20% cyan lights. First floor was lighted with sunlight, in order to make a comparison with natural lighting. Fourth floor contained the necessary control equipment. The experiment lasted for 15 days to analyse only the seedling period. The experiment results showed that, addition of cyan light to conventional red and blue grow lightings allowed the plants to grow 14% more by stem system. Also, cyan light provided a stronger root development and higher leaf area; which would indicate a higher product yield in the vegetative period. Keywords: Cyan light, artificial lighting, plant growth conditions, seedling period, lettuce, greenhouse efficiency, green light DOI: 10.7176/JBAH/9-10-11 Publication date:May 31st 201

Analisa Penyebab Penurunan Daya Saing Produk Susu Sapi Dalam Negeri Terhadap Susu Sapi Impor Pada Industri Pengolahan Susu (IPS) Dengan Metode Fault Tree Analysis (Fta) Dan Barrier Analysis

Produk peternakan sapi perah Indonesia dituntut untuk dapat bersaing ketat dengan produk negara lain, bukan untuk bersaing pada pasar Internasional tapi justru pasar dalam negeri Indonesia. Namun kondisi yang ada pada saat ini, produk susu perah lokal kuantitasnya tidak mampu mencukupi permintaan Industri Pengolahan Susu (IPS), kualitas tidak memenuhi standard milk codex, dan harga lebih tinggi dari susu impor, membuat peternak lokal kalah bersaing dengan negara-negara pengekspor susu dunia. IPS di Indonesia lebih memilih menggunakan susu impor dengan kualitas lebih baik dan harga lebih murah dari susu lokal. Mengingat kondisi geografi dan ekologis di Indonesia sebenarnya cocok untuk pengembangan peternakan sapi perah (agribisnis persusuan) serta besarnya permintaan susu dalam negeri, sebenarnya peternakan sapi perah Indonesia dapat lebih kompetitif. Oleh karena itu penting untuk dilakukan analisa mengidentifikasi akar penyebab masalah dari rendahnya daya saing susu sapi Indonesia terhadap susu sapi impor pada IPS. Analisa yang digunakan adalah analisa dengan metode Fault Tree Analysis (FTA) untuk mengetahui akar penyebab terjadinya suatu permasalahan. Sedangkan Barrier Analysis adalah proses sistematik yang digunakan untuk mengidentifikasi hambatan fisik, administrasi dan prosedur atau mengontrol tindakan pencegahan masalah yang dapat mencegah masalah terjadi kembali. Hasil analisa menunjukkan permasalahan utama lebih dominan disebabkan oleh faktor intern peternakan sendiri. Dari penelusuran akar penyebab permasalahan, dibuat troubleshooting yang berisi petunjuk pemecahan masalah jika permasalahan tersebut terjadi kembali baik troubleshooting permasalahan produktifitas, kuantitas, harga susu segar lokal yang tidak kompetitif terhadap susu segar impor dan rekomendasi tindakan perbaikan yang meliputi aspek man, methode, material, machine, mother nature, dan maintenance. Kata-kunci : daya saing, analisa pohon keputusan, barrier analysis, troubleshooting Indonesian dairy products are required to compete with products of other countries, not to compete on International markets but that the Indonesian domestic market. But the conditions that exist at this ndtime, local dairy milk products are not able to meet the demand quantity Milk Processing Industries (IPS), quality does not meet the standard codex milk, and milk prices are higher than imports, making local farmers unable to compete with dairy-exporting countries world. IPS in Indonesia prefer to use imported milk with better quality and cheaper prices than local milk. Given the geograph and ecology of the land in Indonesia was suitable for the development of dairy cattle (dairy agribusiness) and the huge domestic demand for milk, dairy cattle Indonesia actually can be more competitive. It is therefore important to do an analysis to identify the root cause of the problem of low competitiveness of Indonesian cow\u27s milk to cow\u27s milk imports in the IPS. The analysis method used was analysis by Fault Tree Analysis (FTA) to determine the root cause of a problem. While Barrier Analysis is a systematic process used to identify physical barriers, administrative and control procedures or precautionary measures to prevent the problems that the problem occurs again. Results of analysis showed the main problem is more dominant livestock affected by internal factors alone. By studying the root causes of problems, made ​​troubleshooting that contains troubleshooting tips for when problems occur again either troubleshooting the problems of productivity, quantity, price of local fresh milk which is not competitive against imports of fresh milk and recommend remedial action that includes aspects of man, method, material, machine , mother nature, and maintenance

Industry 4.0 Driven Result-oriented PSS: An Assessment in the Energy Management

Sustainability is a current challenge and all sectors, including the buildings one, are being called upon to provide a solution to mitigate climate change. The state of the art of energy management using Information and Communication Technologies (ICT) technology in building systems industry is characterized by a traditional monitoring approach which could assess the energy consumption of the building but that cannot manage and act the required action to improve the energy management according to a demand side approach. The aim of this paper is to overcome this traditional monitoring approach, presenting Simon, a new model proposed by Evogy, enabling a result-oriented product service system (PSS) for buildings through cyber physical systems, artificial intelligence, and internet of things adoption. The main findings highlight the benefits associated with the Simon model by virtue of digital-based predictive maintenance on the real system. In addition, its adoption allows the PSS provider to aggregate energy demand from the plethora of buildings and, according to digital technologies, not only monitor consumption but also implement equipment. Finally, the application case highlights the benefits are different and thus stands as a best practice for combining sustainability and digitization

Water-soluble full-length single-wall carbon nanotube polyelectrolytes: Preparation and characterization

HiPco single-wall carbon nanotubes (SWNTs) have been noncovalently modified with ionic pyrene and naphthalene derivatives to prepare water-soluble SWNT polyelectrolytes (SWNT-PEs), which are analogous to polyanions and polycations. The modified nanotubes have been characterized with UV-vis-NIR, fluorescence, Raman and X-ray photoelectron spectroscopy (XPS), and transmission electron microscopy (TEM). The nanotube-adsorbate interactions consist of π-π stacking interactions between the aromatic core of the adsorbate and the nanotube surface and specific contributions because of the substituents. The interaction between nanotubes and adsorbates also involves charge transfer from adsorbates to SWNTs, and with naphthalene sulfonates the role of a free amino group was important. The ionic surface charge density of the modified SWNTs is constant and probably controlled by electrostatic repulsion between like charges. The linear ionic charge density of the modified SWNTs is similar to that of common highly charged polyelectrolytes

Selection of cellulolytic fungi isolated from diverse substrates.

The aim of the present work was to select filamentous fungi isolated from diverse substrates to obtain the strains with potential to produce the hydrolytic enzymes. From a total of 215 strains, seven strains from the soils, six from the plants and one from sugarcane bagasse were selected and identified as belonging to the Trichoderma, Penicillium and Aspergillus genera. The best hydrolytic activities obtained by semi-solid fermentation using these strains were approximately: 35; 1; 160; 170 and 120 U/gdm (CMCase, FPase, ?-glucosidase, xylanase and polygalacturonase, respectively), demonstrating their potential to synthesize the enzymes compared with the results reported in the literature