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"Machine Learning Based Design of Railway Prestressed Concrete Sleepers" by Sakdirat Kaewunruen, Jessada Sresakoolchai et al.

The state-of-the-art design methods for railway prestressed concrete sleepers are currently based on the quasi-static stresses resulting from a simplification of dynamic wheel loads, and subsequently the quasi-static responses of concrete sleepers. This method has been widely used in practices to overcome the complexity of dynamic analysis and testing. A single load factor (or called dynamic impact factor) for a partial safety-factored design (or k factors for the test criteria) is commonly used to crudely account for dynamic train–track interactions over different levels of track irregularities. The dynamic impact factors for either design or testing are usually obtained from either (i) railway infrastructure managers (i.e., in EN 13230), or (ii) prescribed standardised factors (i.e., AS 1085.14, AREMA Chapter 30, JSA JIS E 1201). The existing design concepts for prestressed concrete sleepers using either (i) an allowable stress design or (ii) the limit state design method require m ....

Bayesian Neural Network , Machine Learning , Prestressed Concrete Sleepers , Railway Construction ,

El Niño Can Help Predict Cacao Harvests Up to 2 Years in Advance

Cocoa Care and T. Oberthür
When seasonal rains arrive late in Indonesia, farmers often take it as a sign that it is not worth investing in fertilizer for their crops. Sometimes they opt out of planting annual crops altogether. Generally, they re making the right decision, as a late start to the rainy season is usually associated with the state of El Niño Southern Oscillation (ENSO) and low rainfall in the coming months.
Scientific Reports shows that ENSO, the weather-shaping cycle of warming and cooling of the Pacific Ocean along the equator, is a strong predictor of cacao harvests up to two years before a harvest. ....

Sulawesi Barat , Pacific Ocean , Ross Chapman , Thomas Oberth , Bayesian Neural Network , African Plant Nutrition Institute , International Plant Nutrition Institute , Community Solutions International , Alliance Of Bioversity International , South Sulawesi , Southern Oscillation , Scientific Reports , James Cock , Bioversity International , பெஸிஃபிக் கடல் , ரோஸ் சாப்மேன் , சர்வதேச ஆலை ஊட்டச்சத்து நிறுவனம் , சமூக தீர்வுகள் சர்வதேச , கூட்டணி ஆஃப் உயிர்சக்தி சர்வதேச , அறிவியல் அறிக்கைகள் , ஜேம்ஸ் சேவல் , உயிர்சக்தி சர்வதேச ,

El Niño can help predict cacao harvests up to 2 years in advance

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IMAGE: A woman inspects harvested cacao beans drying in the sun in Soppeng, South Sulawesi, Indonesia.
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Credit: Cocoa Care and T. Oberthu?r
When seasonal rains arrive late in Indonesia, farmers often take it as a sign that it is not worth investing in fertilizer for their crops. Sometimes they opt out of planting annual crops altogether. Generally, they re making the right decision, as a late start to the rainy season is usually associated with the state of El Niño Southern Oscillation (ENSO) and low rainfall in the coming months.
New research published in the Nature journal ....

Pacific Ocean , Ross Chapman , Thomas Oberth , Bayesian Neural Network , African Plant Nutrition Institute , International Plant Nutrition Institute , Community Solutions International , Alliance Of Bioversity International , Southern Oscillation , Scientific Reports , James Cock , Bioversity International , பெஸிஃபிக் கடல் , ரோஸ் சாப்மேன் , சர்வதேச ஆலை ஊட்டச்சத்து நிறுவனம் , சமூக தீர்வுகள் சர்வதேச , கூட்டணி ஆஃப் உயிர்சக்தி சர்வதேச , அறிவியல் அறிக்கைகள் , ஜேம்ஸ் சேவல் , உயிர்சக்தி சர்வதேச ,