#Aggregate bins
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vishawkarmaindustries · 10 months ago
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Mobile Concrete Batching Plant 4BIN (Pan mixer Type)
Robust structure with Bins. Includes printout & USB system. Easy maintenance & low runningcost. Fully automatic Turbo Pan Mixer Type Added safety with limit switch in mixer. Whole plant assembly on single chassis. Consistency & uniform mixing in all batches. Large mixer platform for ease of maintenance. Material feeding system through conveyor belts. Digital load cell based material weighing system. Main reduction gear : Imported planetary gear box. Cement feeding system through inclined screw conveyor. Modular design providing flexibility to adopt to different layout requirements. Planetary mixer enables efficient mixing of concrete with less wastage & improved quality parameters.
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redistrictgirl · 4 months ago
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As of September 15th, 2024, Kamala Harris is slightly favored (66% chance) in the race for the presidency.
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Repeat after me: Nothing Ever Happens.
In spite of a highly-watched and newsworthy debate that the Vice President is widely agreed to have won, there has barely been any budge in our topline and two of the three swing states with major probability shifts have actually moved towards Trump! There are two asterisks here in the lack of change, both of which are fairly minor in my opinion for the reasons below.
First, state-level polling has been scarce since the debate. What we have seen, ho-hum polls in the Rust Belt, don't inspire that much confidence that anything has changed. Second, our "bin" for this week does include some pre-debate polling! They don't affect the averages that much, though, only taking away three-tenths of a percentage point from Ms. Harris and one-tenth of a percentage point from Mr. Trump. That's meaningful in aggregate, but not seismic.
With that out of the way, let's take a look at the closest states:
Arizona (55% chance of being won by Trump) - Ms. Harris still has not led in a poll in this state for nearly three weeks. The asterisk here is that Mr. Trump still cannot break 50%, and there's a chance that his vote share is also declining (though we don't have enough polling to say for sure.) For now, this uncertainty as well as passable fundamentals for Democrats are enough to keep the state a tossup.
North Carolina (56% chance of being won by Trump) - This is one of the few instances where the fundamentals look rosier for Republicans than state-level polling. Shockingly, the Vice President is the first candidate to have hit 50% in about two weeks in this state, doing so in a Quinnipiac poll near the start of the week. There are plenty of fine polls for the former president, however, and I'd still expect some reversion to the mean in general, so he remains the favorite.
Georgia (66% chance of being won by Trump) - This week's Peach State polls have been very kind to Mr. Trump as he hovers around 49% decided, where Ms. Harris' share is more volatile. There haven't been many other interesting developments in the state.
Pennsylvania (69% chance of being won by Harris) - The perennial swing state continuing to hold strong for Democrats is a promising sign for them as the field of play slowly narrows. We don't have much data to work with, but the 49-46 Harris result from Morning Consult pre-debate is intriguing.
Nevada (70% chance of being won by Harris) - This state has seen positive developments for the former President alongside the rest of the Sun Belt this week, with polling from both Morning Consult and Redfield & Wilton (post-debate!) showing a neck-and-neck race. That said, there aren't too many undecided voters for either candidate to pick up in the state, so Harris will still be fairly comfortable here as long as she maintains an overall lead.
So do I think we're destined to spend the next few months in Lean D purgatory? Hardly. For one, as undecided voters make up their mind, we can expect more confidence in the model. Our sample size will also increase, which will make it easier for the model to pick up on smaller movement without outliers throwing things out of whack. That said, this is very much a close race, and even as Harris nears "Vegas favorite" territory of winning, upsets happen all the time!
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inchidentally · 1 year ago
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https://x.com/McLarenF1_News/status/1747978653189767464?s=20 Knowing life, a certain portion of a certain driver's fanbase will use this as a dig at their favorite driver.
I do find it hilarious that this hasn't gained any traction and I actually think it's bc all Lando fans have been here before mANY times with his own quotes being misappropriated. if we went off what ad revenue based journalism says then Lando wants to personally and intimately destroy like 75% of the grid at any given moment.
I do laugh tho bc Autosport just got a big red strike against their name by Oscar's very protective team. not a great idea since it looks like they've already alienated a lot of the grid and don't get many exclusives.
but this is actually a really good example to use going forward since we're bound to get even more as the years go on...
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to break down the notes in the images, the only quote from Oscar is that he personally doesn't like to tear himself down publicly but that he's very hard on himself privately. that's the only "scoop" lol. this dude at Autosport actually got Oscar on the phone and decided to bin most of the interview in favor of singling out something he could twist into a clickbait headline.
and the tweet links to a content aggregator website that itself has pulled from another article which is almost completely the Autosport guy's personal opinion about Lando and Oscar with the Oscar quote (in which he only refers to himself) and then some old quotes about Alpine and Mark Webber to stretch the ads out further.
as I said, Lando fans are used to this. he once said in this interview how lost and down he felt during his first season comparing himself with how competent Carlos was - easy as piss to suddenly decide that Carlos was of no help to Lando's mental state - and maybe harmed it!! - and that they weren't as close friends as everyone hoped! and whenever Lando's said how calm and down to earth Oscar is compared to Daniel and that Oscar and Daniel are complete opposites, super easy to decide that he's shading Daniel and they're not as close as everyone hoped! except he's fully still friends with both of them and that adults can hold opinions and also manage to NOT have some crazy subtext of drama underneath it wowwwwww
the crazy thing is that Oscar is saying exactly what a ton of Lando fans - as well as Martin Brundle and Jenson Button - have been saying about Lando's attitude toward himself during the 2023 season. I'm personally on the fence with my feelings but the popular sympathetic opinion is that Lando isn't helping himself at all with public self-flagellation and that it's only fanning the flames of people who already have it out for him. so it's truly a stretch to turn that one quote into 'ooohhhhh he's being mean to Lando' when Oscar famously avoids all public conflict after the Alpine drama and also is not wrong for not wanting his teammate and possibly friend to shit on himself so much ??
the point of sports journalism - outside maybe one or two sources who don't want to burn bridges with the 20 guys in F1 - is to create drama and generate engagement. I took the hit and loaded those pages but that's all the ad revenue I'm going to give shitty websites for at a while lgfljahfa
this is why I ignore everything except authorized sources who either legally have to run everything past the driver's reps first or who actually put up full content and not cherry picked quotes. and in Oscar's and Lando's cases anyway, that's what they both want their fans to do.
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jordanianroyals · 2 years ago
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Official photo releasted on the occassion of Prince Hashim bin Al Hussein’s 42nd birthday, who was born on June 10, 1981 (8th of Shaban, 1401 Hijri) to the late King Hussein bin Talal and Queen Noor.
He is a 41st generation direct descendant of the Prophet Mohammad and the youngest brother of King Abdullah II. Prince Hashim completed his primary education in Amman and later graduated from high school in the United States in 1999.
In 1999, he attended the Royal Military Academy Sandhurst in the United Kingdom, from which he graduated in 2000, commissioning as a second lieutenant in the Jordan Armed Forces-Arab Army. He received several awards, including an award for the best aggregate mark in his academic studies for non-British officers.
Prince Hashim graduated with distinction from Georgetown University’s Edmund A. Walsh School of Foreign Service on August 12, 2005, and subsequently completed his higher education in Quran studies at Balqa Applied University in Jordan, graduating on September 5, 2006. On December 1, 2014, he also earned a master’s degree in Defence Studies from King’s College London in the United Kingdom.
During Prince Hashim’s career in the military, he rose through the ranks of the Special Operations Command, serving in all three of its branches Special Forces, Counterterrorism, and the Rangers. In 2015, he was assigned command of the 61st Royal Rangers Battalion (Al Maghaweer) which is specialised in urban, desert, and advanced mountain operations. Prince Hashim’s last active military role was as adviser to the Chairman of the Joint Chiefs of Staff for Special Forces and Rapid Reaction Forces.
During his military career, Prince Hashim completed his Platoon Commanders’ Battle Course in the US at Fort Benning in 2007, where he achieved the best marks among international officers taking part in the training. In 2009, Prince Hashim participated in and successfully completed the Infantry Company Commanders Course in the UAE during which he achieved the highest level of academic excellence, and in 2014 he attended the Advanced Command and Staff College in England (ACSC17) and successfully completed it, earning his Post Staff College (Joint) PSCJ.
On January 12, 2017, a Royal Decree was issued appointing Prince Hashim as His Majesty’s Chief Royal Councillor, and he continued his service until his resignation in September 2020.
Prince Hashim has been sworn in as Regent on several occasions and accompanied King Abdullah II on several official functions.
Prince Hashim is the head of Alfaris International Horseback Archery Championship and is a proficient blade-smith. He also enjoys hiking.
His Royal Highness is fluent in Arabic and English. He studied Hebrew in university and he is a student of the Turkish language.
On January 6, 2006, Prince Hashim married Princess Fahdah and they have five children: Their Royal Highnesses Prince Al Hussein born in June 2015, Prince Al Hassan born in October 2019, Princess Haalah born in April 2007, Princess Raiyah born in July 2008 and Princess Aliyah born in November 2011.
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skiingcows · 4 months ago
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For the 50 megapixel thing: lots of cameras will now say they're "X megapixels" but the pixels are being binned at the hardware level. The camera actually produces images that are X/4 or X/8 megapixels because the hardware is doing some sort of processing to aggregate several physical pixels from the sensor into one logical pixel which eventually appears in the photo you get out of the camera hardware.
Theoretically you still get some of the benefits of a higher resolution camera, without the huge extra amounts of storage it would take to store a much larger photo. Binning is also easier on other parts of the camera hardware, which have to deal with way less information after the binning process has occurred.
But it does mean that in most obvious ways the camera is just NOT 50 megapixels, and no software tweaks will be able to get you that "full" resolution.
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I am mad about cellphone cameras hiding the processing they do, and I am glad about software that lets me control it and opt in and out, and I dictated this rant on insta so I am resharing the images here and will attempt to turn this into a useful text post on my blog in future, when my hand is working better 🤘👍
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propertyparadise · 3 days ago
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Neoliv Plots Sonipat: Best Investment Property in Haryana
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drmikewatts · 5 days ago
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IEEE Transactions on Fuzzy Systems, Volume 32, Issue 12, December 2024
1) A Bayesian Framework for Modelling the Trust Relationships to Group Decision Making Problems
Author(s): Xianchao Dai, Hao Li, Ligang Zhou, Qun Wu, Weiping Ding, Muhammet Deveci
Pages: 6594 - 6606
2) Adaptive Memory Event-Triggered Output Feedback Finite-Time Lane-Keeping Control for Autonomous Heavy Truck With Roll Prevention
Author(s): Fei Ding, Kaicheng Zhu, Jie Liu, Chen Peng, Yafei Wang, Junguo Lu
Pages: 6607 - 6621
3) Adaptive Fuzzy Position and Force Control for Cooperative Multimanipulators With System Uncertainties and Input Dead-Zone Nonlinearities
Author(s): Xing Li, Junxuan Luo, Shaoyu Li, Fujie Wang
Pages: 6622 - 6632
4) VMCFDGS: Variable Multicenter Aggregation Clustering Method Based on Fuzzy Dominating (Dominated)-Granularity Structure
Author(s): Bin Yu, Ruihui Xu
Pages: 6633 - 6645
5) Toward Sensor Fault Detection for Autonomous Underwater Vehicles: A Zonotopic Approach
Author(s): Jitao Li, Yushi Zhang, Zhenhua Wang, Jianbin Qiu, Mingjun Zhang
Pages: 6646 - 6657
6) Mixed Fuzzy Intermittent Control for Nonlinear ODE-PDE Coupled Systems
Author(s): Zi-Peng Wang, Hua-Ran Su, Xi-Dong Shi, Junfei Qiao, Huai-Ning Wu, Tingwen Huang, Xue-Hua Yan
Pages: 6658 - 6670
7) Explain the World—Using Causality to Facilitate Better Rules for Fuzzy Systems
Author(s): Te Zhang, Christian Wagner, Jonathan M. Garibaldi
Pages: 6671 - 6683
8) HPPD-Type Fuzzy State-FDI Estimation and Resilient Control of Cyber-Physical DC Microgrids With Hybrid Attacks
Author(s): Fuyi Yang, Xiangpeng Xie, Yan-Wu Wang, Reinaldo Martínez Palhares
Pages: 6684 - 6694
9) Asynchronously Switched Control With Variable Convergence Rate for Switched Nonlinear Systems: A Persistent Dwell-Time Scheme
Author(s): Han Geng, Huasheng Zhang, Shun-Feng Su
Pages: 6695 - 6707
10) Federated Fuzzy Transfer Learning With Domain and Category Shifts
Author(s): Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Pages: 6708 - 6719
11) Multicontext Fuzzy Clustering: Toward Interpretable Fuzzy Clustering
Author(s): Majed Alateeq, Witold Pedrycz
Pages: 6720 - 6730
12) Predefined-Time Event-Triggered Adaptive Fuzzy Formation Control for Nonholonomic Multirobot Systems
Author(s): Kewen Li, Shijie Dong
Pages: 6731 - 6743
13) Unsupervised Deep Embedding for Fuzzy Clustering
Author(s): Runxin Zhang, Yu Duan, Feiping Nie, Rong Wang, Xuelong Li
Pages: 6744 - 6753
14) Consensus Control of Nonlinear Fractional-Order Multiagent Systems With Input Saturation: A T–S Fuzzy Method
Author(s): Yilin Hao, Zhiming Fang, Jinde Cao, Heng Liu
Pages: 6754 - 6766
15) Efficient Monotonicity and Convexity Checks for Randomly Sampled Fuzzy Measures
Author(s): Gleb Beliakov, Simon James, Jian-Zhang Wu
Pages: 6767 - 6774
16) A Fuzzy Neural Network Approach to Adaptive Robust Nonsingular Sliding Mode Control for Predefined-Time Tracking of a Quadrotor
Author(s): Yongjun He, Lin Xiao, Zidong Wang, Qiuyue Zuo, Linju Li
Pages: 6775 - 6788
17) Distributed Prescribed-Time Formation Control of Heterogeneous T–S Fuzzy Multiagent Systems: A Hierarchical Design Approach
Author(s): Yongran Zhi, Lei Liu, Huijin Fan, Bo Wang
Pages: 6789 - 6800
18) A Granular Aggregation of Multifaceted Gaussian Process Models
Author(s): Lan Yang, Xiubin Zhu, Witold Pedrycz, Zhiwu Li, Xingchen Hu
Pages: 6801 - 6810
19) Adaptive Fuzzy Triggered Output Feedback Control of Nonlinear Systems via Compulsory-Event
Author(s): Xu Yuan, Bin Yang, Xudong Zhao
Pages: 6811 - 6821
20) GFS-Node: Graph Fuzzy Systems for Node Prediction
Author(s): Fuping Hu, Zhaohong Deng, Zhenping Xie, Te Zhang, Kup-Sze Choi, Fan Zhang, Shitong Wang
Pages: 6822 - 6834
21) Feature Weighting-Based Deep Fuzzy C-Means for Clustering Incomplete Time Series
Author(s): Yurui Li, Mingjing Du, Wenbin Zhang, Xiang Jiang, Yongquan Dong
Pages: 6835 - 6847
22) Observer-Based Fuzzy PID Control for Nonlinear Systems With Degraded Measurements: Dealing With Randomly Perturbed Sampling Periods
Author(s): Yezheng Wang, Zidong Wang, Lei Zou, Quanbo Ge, Hongli Dong
Pages: 6848 - 6862
23) Boundary Output Tracking of Nonlinear Parabolic Differential Systems via Fuzzy PID Control
Author(s): Jin-Feng Zhang, Jun-Wei Wang, Hak-Keung Lam, Han-Xiong Li
Pages: 6863 - 6877
24) Principal Component Analysis With Fuzzy Elastic Net for Feature Selection
Author(s): Yunlong Gao, Qinting Wu, Zhenghong Xu, Chao Cao, Jinyan Pan, Guifang Shao, Feiping Nie, Qingyuan Zhu
Pages: 6878 - 6890
25) Predefined-Time Composite Adaptive Fuzzy Nonsingular Attitude Control for Multi-UAVs
Author(s): Huanqing Wang, Muxuan Li, Huaguang Zhang, Siwen Liu
Pages: 6891 - 6903
26) Dynamic Event-Triggered Fuzzy Optimal Consensus Control for Stochastic Multiagent Systems Under Switching Topology
Author(s): Ying Xu, Kewen Li, Yongming Li
Pages: 6904 - 6916
27) Intermittent Fixed-Time Fuzzy Consensus of Nonlinear Multiagent Systems With Unknown Control Directions and Event-Based Communication
Author(s): Jian Liu, Zheng Lian, Jinglong Shi, Lu Dong, Changyin Sun
Pages: 6917 - 6928
28) Nash Equilibrium Seeking in Nonzero-Sum Games: A Prescribed-Time Fuzzy Control Approach
Author(s): Yan Zhang, Mohammed Chadli, Zhengrong Xiang
Pages: 6929 - 6938
29) T–S Fuzzy-Based Load Frequency Control of Multiarea Power System With Hybrid Delays: Performance Analysis and Improvement
Author(s): Zhe-Li Yuan, Chuan-Ke Zhang, Xing-Chen Shangguan, Yu-Long Fan, Yong He
Pages: 6939 - 6950
30) Toward Embedding Ambiguity-Sensitive Graph Neural Network Explainability
Author(s): Xiaofeng Liu, Yinglong Ma, Degang Chen, Ling Liu
Pages: 6951 - 6964
31) Multiview Fuzzy Concept-Cognitive Learning With High-Order Information Fusion of Fuzzy Attributes
Author(s): Jinbo Wang, Weihua Xu, Weiping Ding, Yuhua Qian
Pages: 6965 - 6978
32) Bipartite Synchronization of Fractional-Order T–S Fuzzy Signed Networks via Event-Triggered Intermittent Control
Author(s): Yao Xu, Zhuozhen Jiang, Xiangpeng Xie, Wenxue Li, Yongbao Wu, Reinaldo Martínez Palhares
Pages: 6979 - 6989
33) A Predefined Time Fuzzy Neural Solution With Event-Triggered Mechanism to Kinematic Planning of Manipulator With Physical Constraints
Author(s): Ying Kong, Xuxiang Zeng, Yunliang Jiang, Danfeng Sun
Pages: 6990 - 7001
34) Weakly Supervised Causal Discovery Based on Fuzzy Knowledge and Complex Data Complementarity
Author(s): Wenrui Li, Wei Zhang, Qinghao Zhang, Xuegong Zhang, Xiaowo Wang
Pages: 7002 - 7014
35) Adversarial Attack Detection via Fuzzy Predictions
Author(s): Yi Li, Plamen Angelov, Neeraj Suri
Pages: 7015 - 7024
36) Averaging Functions on Triangular Fuzzy Numbers and an Application in Graphs
Author(s): Nicolás Zumelzu, Roberto Díaz, Aldryn Aparcana, José Canumán, Álvaro Mella, Edmundo Mansilla, Diego Soto, Benjamín Bedregal
Pages: 7025 - 7036
37) Design Trend Fuzzy Granulation-Based Three-Layer Fuzzy Cognitive Map for Long-Term Forecasting of Multivariate Time Series
Author(s): Fei Yang, Fusheng Yu, Chenxi Ouyang, Yuqing Tang
Pages: 7037 - 7049
38) Adaptive Fuzzy Safety Control of Hypersonic Flight Vehicles Pursuing Adaptable Prescribed Behaviors: A Sensing and Adjustment Mechanism
Author(s): Xiangwei Bu, Ruining Luo, Maolong Lv, Humin Lei
Pages: 7050 - 7062
39) Dynamic Guaranteed Cost Event-Triggered-Based Anti-Disturbance Control of T-S Fuzzy Wind-Turbine Systems Subject to External Disturbances
Author(s): Yang Gu, Mouquan Shen, Ju H. Park, Qing-Guo Wang, Zheng Hong Zhu
Pages: 7063 - 7072
40) Fuzzy Adaptive Bipartite Consensus of Stochastic Multiagent Systems: A Singularity-Free Prescribed Performance Control Approach
Author(s): Lei Chen, Hongjing Liang, Yuhua Cheng, Tingwen Huang
Pages: 7073 - 7085
41) A New Family of Metrics in Interval Space and Their Applications to Multicriteria Decision-Making Theory
Author(s): Y. Chalco-Cano, T. M. Costa, Benjamín Bedregal, Ademir G. Chalco Cano
Pages: 7086 - 7095
42) FGRBC: A Novel Fuzzy Granular Rule-Based Classifier Using the Justifiable Granularity Principle and a Fusion Strategy
Author(s): Xiao Zhang, Yijing Liu, Jinhai Li, Changlin Mei
Pages: 7096 - 7108
43) Observer-Based Sliding Mode Control for Stochastic Sampling Fuzzy Systems With Stochastic Communication Protocol
Author(s): Junhui Wu, Jun Cheng, Huaicheng Yan, Leszek Rutkowski, Jinde Cao
Pages: 7109 - 7117
44) Dynamic Event-Based Hierarchical Fuzzy Prescribed Performance Control for Underactuated Systems With Uncertain Dead Zone
Author(s): Yi Shui, Lu Dong, Ya Zhang, Changyin Sun
Pages: 7118 - 7128
45) Long-Term Interpretable Air Quality Trend Forecasting via Directed Interval Fuzzy Cognitive Maps
Author(s): Xiaoqian Liu, Yingjun Zhang, Hui Wang, Sipei Qin, Zhenhua Zhang, Yanyan Yang, Jingping Wang
Pages: 7129 - 7142
46) Higher Order Fuzzy Membership in Motif Modularity Optimization
Author(s): Jing Xiao, Ya-Wei Wei, Jing Cao, Xiao-Ke Xu
Pages: 7143 - 7156
47) Membership Function-Dependent H∞ Control for Set-Described T-S Fuzzy System via Improved Dynamic Memory Event-Triggered Mechanism
Author(s): Qinghua Hou, Jiuxiang Dong
Pages: 7157 - 7167
48) A Cross-Field Deep Learning-Based Fuzzy Spamming Detection Approach via Collaboration of Behavior Modeling and Sentiment Analysis
Author(s): Keping Yu, Xiaogang Zhu, Zhiwei Guo, Amr Tolba, Joel J. P. C. Rodrigues, Victor C.M. Leung
Pages: 7168 - 7182
49) Adaptive Type-2 Fuzzy Filter With Kernel Density Estimation for Impulse Noise Removal
Author(s): Vikas Singh, Alankrita, Vipin Chandra Pal, Avadh Pati
Pages: 7183 - 7189
50) Fuzzy Formation Control for Nonlinear Multiagent Systems With Two Time Scales: A Reinforcement Learning Scheme
Author(s): Qing Yang, Jing Wang, Hao Shen, Ju H. Park
Pages: 7190 - 7195
51) A Novel Unsupervised Capacity Identification Approach to Deal With Redundant Criteria in Multicriteria Decision Making Problems
Author(s): Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte
Pages: 7196 - 7201
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beatsandskies · 5 days ago
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Theme Deck Review Compendium: Time Spiral “Fun With Fungus”
Thallids are cool, fact. They're the reason why Swedish OS 93/94 can get in the bin. So for a nostalgic look at the nostalgic look at your favourite Fallen Empires friendly forest fellows you really can't go past Time Spiral's Fun with Fungus theme deck.
This is part of a series where I aggregate reviews and other information about an older preconstructed Magic: the Gathering deck. The idea is that anyone who is interested in finding content – be it contemporary or more recent – about it for whatever reason can use this as a jumping off point. Fun With Fungus A black and green deck featuring everybody’s favourite fungi: Thallid! Year:…
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gajjarequipments · 8 days ago
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Drum Mix Asphalt Plant in Ghana
Gajjar Equipments Private Limited Offer Drum Mix Asphalt Plant in Ghana.
Our Manufacturer Unit is in Ahmedabad, Gujarat, India.
Drum Mix Asphalt Plant is a type of asphalt plant that produces asphalt through a continuous mixing process, where all the components are combined in a rotating drum.
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Models Available:
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For more information, product inquiries, or to get a quote, feel free to reach out to us!
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vishawkarmaindustries · 10 months ago
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Stationery Concrete Batching Plant (Pan mixer Type )
Robust structure with Bins. Includes printout& USB system. Easy maintenance & low running cost. Fully automatic Turbo Pan Mixer Type. Added safety with limit switch in mixer. Whole plant assembly on single chassis. Consistency & uniform mixing in all batches. Available in 20 /30 / 45/60 cum hr. Capacity. Large mixer platform for ease of maintenance. Main Power Drive: Imported planetary gear box. Digital load cell based material weighing system. Cement feeding system through inclined screw conveyor. Modular design providing flexibility to adopt to different layout requirements. PAN mixer enables efficient mixing of concrete with less wastage & improved quality parameters. PLC based control panel with integral computerized batch controller which accommodates different mix receipes.
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saku-232 · 11 days ago
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Data Cleansing and Structuring
Data cleansing and structuring are crucial steps in the data preparation process, ensuring that data is accurate, consistent, and formatted for analysis or machine learning. Here's a breakdown of each step:
1. Data Cleansing
This process involves identifying and correcting errors in data, improving its quality. Key activities include:
Removing Duplicates: Identifying and eliminating repeated records in the dataset.
Handling Missing Data: Using methods like imputation (filling missing values), deletion, or flagging to handle null or missing entries.
Correcting Inconsistent Data: Standardizing formats (e.g., date formats, address formats), fixing spelling mistakes, or converting numerical data into the right scale (e.g., removing currency symbols).
Outlier Detection: Identifying and handling data points that deviate significantly from the rest of the data. This might involve removing or correcting them depending on their context.
Noise Filtering: Removing irrelevant or meaningless data that may distort analysis (e.g., stopwords in text data).
2. Data Structuring
Data structuring involves organizing data into a format that is easy to analyze or use for machine learning. This step focuses on making raw data more usable:
Normalization: Scaling features (e.g., values between 0 and 1) to bring them to the same level of magnitude, which helps in various machine learning models.
Encoding: Converting categorical data (e.g., gender, location) into numerical form using techniques like one-hot encoding or label encoding.
Data Aggregation: Combining data from different sources or summary statistics (e.g., sum, average) into a cohesive form.
Feature Engineering: Creating new variables from existing data (e.g., extracting the year from a date field, categorizing data into bins).
Reshaping Data: Converting the dataset into a structured format like tables (e.g., pivoting or unpivoting data, creating time series).
Both of these processes are often done using programming tools like Python (with libraries like pandas, numpy, and scikit-learn for machine learning) or R, and may also involve using SQL for database-related cleaning tasks.
Do you have a specific dataset you're working with, or are you exploring general techniques?
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focus-vivianma · 22 days ago
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HZS180 Ready-Mix Mixing Plant
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HZS180 large concrete ready-mix mixing plant is an efficient and stable automated concrete production equipment, which is widely used in large-scale infrastructure construction, road engineering, building construction and other fields. The mixing plant is equipped with a production capacity of 180m³/h and adopts JS3000 double-horizontal shaft forced concrete mixer, which has the characteristics of uniform mixing, high efficiency and stable performance. The system adopts PLC control, which is easy to operate and has precise ingredients. It can efficiently and continuously produce concrete of different proportions to meet the high demand of large-scale projects. The equipment has a compact structure, convenient maintenance and stable operation, and is an ideal choice for modern engineering construction.
Mixing system
★Self-developed mixer, more uniform mixing;
★Adopting high-chromium alloy castings, long service life;
★The driving motor has high power and strong power, and refuses to be stuck;
★The optimized design of the water spray pipeline makes the water discharge faster and more evenly, while preventing the shaft from sticking.
Metering system
★All materials are measured in rough and fine mode with high precision;
★Each weighing bucket has an adaptive intelligent weighing function, which becomes more accurate with use;
★The weighing bucket has a large volume and can meet more ratio requirements.
We FOCUS MECHINERY stand for new product ideas and courageous vision of the future, we stand for our never-stopping dedication and devotion to your construction equipment solutions, we focus on your project needs.If you're looking for a particular supplier or specific configurations, I can provide more details or recommendations!
Whatsapp&Phone:+86 13676986531
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glassrubbishremoval · 1 month ago
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The Challenges of Recycling Broken Glass: Best Practices for Safe Rubbish Removal
Recycling broken glass is a crucial yet challenging aspect of sustainable waste management. While glass is 100% recyclable, its fragile nature and the risks associated with handling it make the process more complex. For residents and businesses in Perth, understanding how to safely and efficiently manage broken glass is essential to ensure proper recycling and minimise environmental impact. This article explores the key challenges of recycling broken glass and provides best practices for safe rubbish removal in Perth.
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Challenges of Recycling Broken Glass
Safety Risks During Handling Broken glass poses significant safety risks to individuals and waste management professionals. Improper disposal can result in cuts and injuries, particularly if glass shards are mixed with other recyclable materials or placed loosely in bins.
Contamination of Recycling Streams Broken glass fragments often become mixed with other materials such as paper, plastic, or organic waste. This contamination can render entire recycling loads unusable, leading to increased landfill waste.
Material Downgrade While intact glass can be melted and remoulded into new products, broken glass is often downgraded in its recyclability. Smaller shards can end up being used for lower-value purposes such as aggregate in construction, rather than being reprocessed into new glass containers.
Damage to Machinery Glass shards can damage sorting and recycling machinery, increasing maintenance costs and reducing operational efficiency. This is particularly problematic for facilities not equipped to handle significant volumes of broken glass.
Best Practices for Safe Disposal of Broken Glass
Use Protective Packaging Before placing broken glass into rubbish bins, wrap the pieces in thick, sturdy materials such as cardboard or old newspapers. Secure them with tape to prevent shards from escaping. Clearly label the package as "broken glass" for the safety of waste handlers.
Separate from General Waste Broken glass should never be mixed with other recyclables. Instead, place it in a designated glass recycling bin if available or in a separate container specifically for glass waste. This helps maintain the integrity of recycling streams.
Engage Professional Services For large quantities of broken glass, consider hiring a professional rubbish removal service in Perth. These services are equipped to handle hazardous waste like broken glass safely and efficiently, ensuring proper disposal and recycling.
Follow Local Guidelines Check Perth’s local council guidelines for glass recycling. Many councils provide specific instructions on how to dispose of broken glass and may even offer designated drop-off points for glass waste.
Educate Your Household or Business Raise awareness among family members, employees, or tenants about the correct methods for disposing of broken glass. Clear communication can prevent injuries and ensure that recycling efforts remain effective.
Why Proper Disposal Matters
Properly disposing of broken glass not only enhances safety but also supports Perth’s broader sustainability goals. When recycled correctly, glass reduces the demand for raw materials, saves energy, and minimises landfill waste. Partnering with professional rubbish removal services in Perth ensures that even hazardous materials like broken glass are handled with care and recycled effectively, contributing to a cleaner, greener environment.
Rubbish Removal Perth: Ensuring Safety and Efficiency
For residents and businesses in Perth, enlisting the help of experienced rubbish removal services is one of the most effective ways to manage broken glass waste. These professionals use specialised equipment and follow strict safety protocols to ensure safe handling, reducing the risks to individuals and the environment.
By choosing rubbish removal in Perth, you can be confident that your glass waste will be sorted, transported, and recycled in compliance with local guidelines. This not only simplifies the disposal process but also ensures that recyclable materials are diverted from landfills.
Conclusion
Recycling broken glass is a complex process that requires careful handling to minimise safety risks and contamination. By adopting best practices and working with professional rubbish removal services in Perth, individuals and businesses can make a significant contribution to sustainable waste management. Prioritising proper disposal methods ensures that recyclable materials like glass are reused effectively, supporting Perth’s commitment to reducing waste and protecting the environment. For safe and efficient solutions, rely on rubbish removal Perth to handle your glass waste responsibly and professionally.
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rmxsolution · 1 month ago
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Why batching plant support equipment is necessary for efficient production
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Timeliness, accuracy and efficiency are critical in today’s construction industry. One sector that plays an important role in the availability of these products is concrete manufacturing, which relies heavily on pouring plants. These plants ensure the production of high quality concrete through the proper mixing of ingredients such as cement, aggregate and water. However, the success of this project is highly dependent on the Batching Plant Support Equipment. In this blog, we’ll explore why Batching Plant Support Equipment is important, how it increases productivity, and its role in ensuring production continuity.
Understanding Batching Plant Support Equipment
Batching plant support equipment includes auxiliary machinery and tools that make a concrete batching plant more efficient and effective. This includes cement storage, conveyor belts, loading containers, water level systems, and more. Together, these tools ensure efficiency, reduce working time and assure that the concrete produced meets the required standards
Why is batching plant support equipment necessary
1. Improve productivity
The use of batching plant support equipment such as conveyors and hoppers ensures efficient collection and transportation of raw materials such as cement, sand and aggregate. These tools automate a variety of processes, eliminating the need for manual intervention and speeding up production. With the proper concreting machinery, work can be done with ease, and large quantities of concrete can be produced in a short period of time.
2. Precision in mixing
Accurate quantification of concrete production is important. Batching machines ensure that the correct amount of material is used in each batch, resulting in a superior mix. Cement silos, water level systems and water mixing systems all help maintain accurate proportions, reduce errors and improve the overall strength and durability of concrete.
3. Regular Time and Maintenance Reduction
Having reliable batching plant support equipment allows the plant to experience minimal downtime. Equipment such as dust collectors, dust suppressors and water recycling keep the plant running smoothly, while reducing the need for frequent maintenance Not only does This save time but also reduces maintenance costs.
Key Types of Batching Plant Support Equipment
To better understand the importance of batching plant support equipment, it is important to look at the various types of equipment involved in the concrete batching process: ‘
Cement silos: These are used to store large quantities of cement, ensuring a constant supply during batching.
Conveyors: These are required for transporting aggregate, sand and cement between different parts of the plant.
Water level settings: These settings control the amount of water added to the mix, ensuring that the concrete is not too dry or too wet.
Aggregate bins: These store aggregates of different sizes before they are used in the batching process.
Dust collectors: These help control the dust generated during the concreting process, creating a cleaner and safer working environment.
The Role of Support Equipment in Dry Mix Batching Plants
Dry mix batching plants are very popular in the construction industry because of their efficiency and flexibility. These plants mix dry materials such as cement, aggregate and sand before being transported where water is added to the mix.
1. Efficient use of resources
Equipment such as conveyors and cement silos are essential for efficient material handling in dry mix batching plants. Without the proper sorting equipment, delivery would not be efficient, leading to delays and reduced productivity.
2. Equal mixing
Although water is added later at the construction site, the exact mixing of dry materials is important. Batching plant support equipment ensures consistency of each batch of dry mix, creating uniformity in the final concrete product.
Why batching of plant support equipment is important in cement mix plants
Batching machines play a key role in ensuring uniform and efficient mixing of cement and other raw materials at cement mixing plants Equipment such as cement silos and dosing systems enable plants to operate consistently, reducing risk in rare materials, in each batch If the correct is used the ratio is ensured
1. Storage and quantification
Cement silos provide a reliable cement storage solution, increasing purchasing power and reducing the need for frequent refills. At the same time, the chemical feed ensures that the correct amount of cement is added to each batch, improving the quality of the final product.
2. Environmental reduction
Utilizing dust collectors and other environmentally friendly technologies, the batching plant’s assistive technology helps reduce carbon emissions and dust pollution, producing cement production is constant
Benefits of Batching Plant Support Equipment
Increased efficiency: Machinery such as conveyors and dosing systems allow plants to work faster, increasing the amount of concrete produced in a day
Cost efficiencies: Reduced waste, improved accuracy, and reduced downtime all contribute to significant cost savings over the long term.
Advanced Quality Control: Batching plant support equipment of accurate sizes and regular inventory controls ensure that each batch processed meets industry standards.
Sustainability: Tools such as dust collection and water recycling reduce the environmental impact of concrete production by linking it to construction practices that it is on the green hole
conclusion
Batching plant support equipment plays an important role in optimizing the performance of concrete batching plant. By ensuring quality control, accurate size and minimal downtime, these machines increase the overall concrete production and quality especially dry mix batching plants and cement mixing plants stand more supportive equipment to make it more efficient and sustainable.
As the construction industry moves towards greener and more efficient practices, investing in reliable batching plant support equipment is the key to maintaining a competitive market lead At ReadyMix Construction Machinery Pvt. Ltd., we provide state-of-the-art solutions that help you optimize your batching plant while maintaining the highest standards.
Frequently Asked Questions (FAQ)
What is batching plant support equipment?
Batching Plant Support Equipment refers to machinery and auxiliary equipment that assist in concrete batching operations, including cement silos, conveyors, dosing systems and dust collectors.
How do batching machines improve productivity?
The batching machines deliver, store and quantify products effectively, ensuring consistent quality and reducing production time.
Why is Animal Machinery Important for Dry Mix Batching Plants?
Auxiliary machinery in dry mix batching plants ensures proper handling and mixing of dry materials, improves uniformity and reduces waste.
What role do batching machines play in cement mixing facilities?
Batching equipment in cement mix plants ensures accuracy, material control and continuity, improves efficiency and reduces downtime.
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achillesahero66 · 2 months ago
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How Construction Bin Hire Supports Eco-Friendly Building Practices
As the construction industry embraces sustainable practices, effective waste management through construction bin hire has become a crucial component. Construction and demolition activities are significant contributors to landfill waste; however, responsible disposal and recycling efforts are making a positive impact.
1. The Role of Bin Hire in Sustainable Construction
Modern construction bin hire services emphasize environmentally friendly disposal, encouraging builders and contractors to adopt greener practices. Many bin hire companies separate materials for recycling, diverting significant amounts of waste from landfills and reducing the environmental footprint of construction projects.
Environmental Benefits of Construction Bin Hire:
Resource Recovery: Through recycling programs, materials like concrete, metal, and timber are repurposed, reducing the need for raw materials.
Lower Carbon Emissions: Recycling reduces energy consumption, helping to minimize the industry’s carbon footprint.
Reduced Landfill Dependence: By keeping waste out of landfills, construction bin hire helps extend landfill life and prevents soil and water contamination.
2. Sustainable Materials and Waste Segregation
Implementing waste segregation practices on-site can significantly enhance the sustainability of construction projects. Many bin hire providers offer guidance on segregating materials, allowing for targeted recycling.
Common Recyclable Construction Materials:
Concrete and Bricks: Often recycled into aggregate for road construction.
Metal: Recycled metal can be used in new steel production, which conserves natural resources.
Timber: Reusable timber can serve as material for future projects or as biofuel.
3. Choosing a Green-Minded Bin Hire Provider
Not all bin hire services prioritize eco-friendly practices, so finding a provider that aligns with your sustainability goals is crucial. Look for companies that offer recycling programs, transparent reporting on waste disposal, and options for separate bins for different materials.
4. Key Tips for Eco-Friendly Waste Management on Construction Sites
Educate the Team: Brief all team members on recycling practices and the importance of responsible waste disposal.
Optimize Bin Use: Order bins based on the type of waste generated, which streamlines the recycling process.
Track and Report: Many providers offer reports on waste disposal, allowing you to track your project’s environmental impact.
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verofax · 2 months ago
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MOU Between Verofax Asia and Distichain to Enable Empowered Digital Global Trade
DUBAI / KUALA LUMPUR, Jan 21, 2022 – (ACN Newswire) – Under the patronage of YB Tan Sri Datuk Seri Panglima Haji Annuar Bin Musa, Malaysian Minister of Communications and Multimedia, and with the participation of Malaysia Digital Economy Corporation (MDEC), a Memorandum of Understanding (MoU) was signed on January 12th, 2022, between Capt. Koh Chen Tien, Chairman of Verofax Asia, and Mr.Haisam Jamal, CEO of Distichain. The event took place in the Address Hotel Dubai Marina, where attendees from around the world were present for the opening of Malaysia Digital Week, taking place at Expo 2020 in Dubai, UAE.
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The aim of the MoU is to create the first digital ASEAN B2B cross-border trade platform to facilitate a potential of RM 50 Billion Malaysian trade internationally with seamless digital transactions over the next 5 to 10 years. The collaboration between Distichain and Verofax Asia will offer a platform that delivers Digital B2B marketplaces as a service (MAAS) to enterprises by offering full marketplaces or through API integration.
Using blockchain and AI as core technologies, the platform digitizes global trade with end-to-end transactions through its ecosystem of supply-chain, verification, and trade finance providers. The solution enables suppliers to readily plug their catalogs, update product data, manage routes and orders, verify documentation and access aggregate financing and logistics all in one place. This unique platform that simplifies, secures, and empowers every participant in a trade.
“The signing of this MoU is an important step for Distichain’s ambition to continue the further development and expansion of its solution. We are especially pleased to be taking this step alongside our partner Verofax Asia, and impact the ASEAN trading industry with rapid digital transformation through our one-day marketplace activation approach,” said Mr Haisam Jamal.
Captain Koh added, “This platform will instantly digitalize the entire export and import process in governmental, non-governmental enterprises as well as SMEs. It will generate low-cost opportunity to digitize processes, introduce trade finance and automate supply-chain across all industries, accelerating economic growth in Malaysia and the ASEAN region. Through this partnership agreement signed today, we will further develop our technologies to meet the ongoing digitalization of international trade. Verofax Asia will have a massive impact on the performances of exports and imports with rapid digitalization, all the while building a resilient digital infrastructure and foster innovation for the recently signed Regional Comprehensive Economic Participation (RCEP) Trade Agreement, which came into effect on 1st January 2022.”
About Verofax: Verofax utilizes patented technology incorporating Blockchain, Augmented Reality and Artificial Intelligence to provide ‘Traceability as a Service’, enabling brands to turn their offline products interactive, and manage their entire supply chain to trace goods, fend off counterfeit activities, and improve manufacturers’ productivity. Brands can extend their reach directly to end-consumers, thereby increasing consumer intimacy with direct engagement, and leveraging the boom in NFTs and metaverse experiences. Visit: www.verofax.com, or Email: [email protected].
About Distichain: Distichain delivers B2B marketplaces as a service (MAAS) to customers using blockchain and AI, digitizing global trade with end-to-end transactions through its ecosystem of supply-chain, verification, and trade finance providers. SMEs and enterprises alike benefit from automated transactions governed by the system to deliver door-to-door border agnostic trading, with on-platform trade compliance present rules. Using smart contracts, Distichain ensures the highest levels of data privacy, and by connecting to innovative solutions within Fintech and Supply Chain, it facilitates transactions backed by instant trade finance with zero email trading. Distichain’s objectives are to simplify cross-border trading, secure end-to-end transactions, and empower decision-makers with real-time AI analytics. Visit: www.distichain.com, or Email: [email protected].
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