Guide to the meso-scale production of the copepod Acartia tonsa

This manual is intended as a guide for the daily production of a few million A. tonsa nauplii for feeding to marine vertebrates and invertebrates. This scale of production is greater than most research would require, but smaller than commercial production, hence the term meso-scale production. This manual will briefly describe the biology of Acartia tonsa Dana that is relevant to culture, the culture methodology for meso-scale production of their eggs and nauplii, the system components utilized in production, and how to construct a few simple tools useful for this scale of production. Commercial production of copepods requires much greater feed production than is described, or the development of an efficient artificial feed, and, therefore, is not the focus of this manual. (PDF conatains 29 pages.

Environmental Controls on Extracellular Polysaccharide Production in a Mediterranean Grassland Soil

The Mediterranean climate has two clear seasons—the cool wet winter growing season, and the hot dry summer, which routinely experiences 6 months or more without rain and is routine in southern California. Microbes survive and biochemical processes continue even during the driest parts of the long summer. Biofilms, or extracellular polymeric substances (EPS), are thought to be an important means for microbes to survive through physically stressful times, (i.e. drought). Do EPS concentrations increase with the length of the dry season? Do EPS concentrations vary with different levels of carbon (C) inputs? We hypothesize that drier soils will have greater microbial EPS due to the amplified need for survival; additionally, soils with higher C inputs will have more C to allocate to EPS production, but may be dominated by plant produced EPS.To answer these questions, we manipulated plant cover and dry season length and measured EPS in seasonally dry grassland soils and evaluated pools of total EPS in the soils as well as the mix of sugars making up EPS. Soil cores were collected monthly from our research plots to capture the transition from the dry dormant summer to the wet winter growing season, from July 2014 to February 2015. Because EPS are largely made up of sugars, we used extractable sugar residues as a proxy for EPS and we analyzed them using Gas Chromatography coupled with Mass Spectroscopy (GC-MS). The GC-MS data shows a significant decrease in sugar concentrations with increased moisture across all sample dates. Drier soils show greater accumulation or production of EPS, which supports our hypothesis. Plant removal does lessen EPS accumulation or increase consumption and drive overall concentrations down slightly. We conclude that after subjecting the soils to a range of dry season length treatments, there were reductions in EPS production with moist conditions. However, these changes were not as drastic as we expected thus suggesting that other microbial survival mechanisms may be involved

Talent development abroad. Young football players’ experiences and challenges on being recruited to English academies

The aim of the current study was to gain insight into talented Norwegian football players who made a club transfer to an English football academy, by investigating the players’ choice of academy, main challenges upon arrival, how they settled in both athletically and socially and their day-to-day life in the academy. Eight Norwegian players registered in an English professional football academy between the ages of 16 and 18 years were interviewed in retrospect. The challenges that the players met were mostly related to their efforts to develop as players, such as going into an extremely high-performance environment, which was quite different from what they perceived in their original club. Even though the transfer to an English professional club seemed like the natural choice to make, the players experienced a cultural shock not just athletically, but also socially and emotionally in their everyday life in a host family.Talent development abroad. Young football players’ experiences and challenges on being recruited to English academiespublishedVersio

PEMODELAN PREDIKSI KUAT TEKAN BETON UMUR MUDA MENGGUNAKAN H2O'S DEEP LEARNING

Artificial Neural Network (ANN) is a Machine Learning (ML) algorithm which learn by itself and organize its thinking to solve problems. Although the learning process involves many hidden layers (Deep Learning) this algorithm still has weaknesses when faced with high noise data. Concrete mixture design data has a high enough noise caused by many unidentified / measurable aspects such as planning, design, manufacture of test specimens, maintenance, testing, diversity of physical and chemical properties, mixed formulas, mixed design errors, environmental conditions, and testing process. Information needs about the compressive strength of early age concrete (under 28 days) are often needed while the construction process is still ongoing. ANN has been tried to predict the compressive strength of concrete, but the results are less than optimal. This study aims to improve the ANN prediction model using an H2O’s Deep Learning based on a multi-layer feedforward artificial neural network that is trained with stochastic gradient descent using backpropagation. The H2O’s Deep Learning best model is achieved by 2 hidden layers- 50 hidden neurons and ReLU activation function with a RMSE value of 6,801. This Machine Learning model can be used as an alternative/ substitute for conventional mix designs, which are environmentally friendly, economical, and accurate. Future work with regard to the concrete industry, this model can be applied to create an intelligent Batching and Mixing Plants

Pengaruh Keterlambatan Material Terhadap Risiko Proyek Pembangunan Gedung Parkir

Supplier tidak dapat dipisahkan dari dunia konstruksi. Kedatangan material dapat mempengaruhi risiko keterlambatan dalam proyek konstruksi. Penelitian ini bertujuan guna mengetahui risiko yang ditimbulkan jika material tidak datang sesuai dengan jadwal yang sudah ditentukan terhadap proyek konstruksi dan cara yang efektif untuk mengatasinya. Penelitian ini dilakukan dengan cara mengobservasi proyek konstruksi yang mengalami gangguan karena keterlambatan pengiriman material. Hasil penelitian menunjukan bahwa keterlambatan pengiriman dapat meningkatkan risiko terhadap keterlambatan dari sebuah proyek konstruksi. Untuk dapat mencegah keterlambatan sebuah proyek konstruksi, cara yang paling efektif adalah dengan mempercepat dan mengusahakan pelaksanaan pekerjaan sesuai dengan rencana

APLIKASI BETON LIMBAH KANTONG PLASTIK UNTUK PERBAIKAN DINDING SALURAN DAN JALAN

Artikel ini mempresentasikan aplikasi beton limbah kantong plastik untuk perbaikan dinding saluran dan jalan RT.06/RW.17 Pucang Sari, Pucang Gading, Mranggen. Dengan aplikasi ini diharapkan  masyarakat khususnya tenaga konstruksi bangunan dapat mempratikkan bagaimana mengolah dan memanfaatkan limbah kantong plastik untuk bahan pengganti sebagian agregat kasar beton bertulang, agar lebih bermanfaat dan mengurangi pencemaran lingkungan. Penggunaan limbah kantong plastik untuk pengganti sebagian agregat kasar untuk perbaikan saluran, dan plat penutup saluran memberikan manfaat bertambahnya lebar jalan perumahan yang relatif sempit untuk kendaraan berpapasan. Campuran pengganti agregat kasar dari limbah kantong plastik pada diambil dari hasil proporsi penelitian yaitu 33% dari proporsi campuran 1PC: 2Ps : 3 Split. Pelaksanaan pekerjaan dilakukan oleh tenaga tukang yang dibantu oleh masyarakat RT.06/ RW.17. Kebutuhan akan tulangan disediakan oleh warga yang salurannya dijadikan tempat aplikan. Sedangkan bahan semen, pasir, split dan split LKP disediakan oleh tim pengabdian Masyarakat. Pelaksanaan kegiatan dilakukan setiap hari minggu/ libur dan berjalan selama hampir 8 minggu