Article in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
9 authors.
Sani I AbbaInterdisciplinary Research Centre for Membranes and Water Security, King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia sani.abba@kfupm.edu.sa ismail.abdulazeez@kfupm.edu.sa.ORCID https://orcid.org/0000-0001-9356-2798
Jamilu UsmanInterdisciplinary Research Centre for Membranes and Water Security, King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia sani.abba@kfupm.edu.sa ismail.abdulazeez@kfupm.edu.sa.
Ismail AbdulazeezInterdisciplinary Research Centre for Membranes and Water Security, King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia sani.abba@kfupm.edu.sa ismail.abdulazeez@kfupm.edu.sa.ORCID https://orcid.org/0000-0001-8098-5433
Lukka Thuyavan YogarathinamInterdisciplinary Research Centre for Membranes and Water Security, King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia sani.abba@kfupm.edu.sa ismail.abdulazeez@kfupm.edu.sa.ORCID https://orcid.org/0000-0002-7268-1680
A G UsmanOperational Research Centre in Healthcare, Near East University TRNC Mersin 10 99138 Nicosia Turkey.
Dahiru LawalInterdisciplinary Research Centre for Membranes and Water Security, King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia sani.abba@kfupm.edu.sa ismail.abdulazeez@kfupm.edu.sa.
Billel SalhiInterdisciplinary Research Centre for Membranes and Water Security, King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia sani.abba@kfupm.edu.sa ismail.abdulazeez@kfupm.edu.sa.
Nadeem BaigInterdisciplinary Research Centre for Membranes and Water Security, King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia sani.abba@kfupm.edu.sa ismail.abdulazeez@kfupm.edu.sa.ORCID https://orcid.org/0000-0003-2843-1980
Isam H AljundiInterdisciplinary Research Centre for Membranes and Water Security, King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia sani.abba@kfupm.edu.sa ismail.abdulazeez@kfupm.edu.sa.ORCID https://orcid.org/0000-0002-0714-8580
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Artificial intelligence (AI) is being employed in brine mining to enhance the extraction of lithium, vital for the manufacturing of lithium-ion batteries, through improved recovery efficiencies and the reduction of energy consumption. An innovative approach was proposed combining Emotional Neural Networks (ENN) and Random Forest (RF) algorithms to elucidate the adsorption energy (AE) (kcal mol
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.