Evidence map›Paper›PMID 42289451›Full record

ArticleScientific reports2026

Sustainable-resilient and climate-responsive e-waste supply chain network design under uncertainty using four-valued refined neutrosophic optimization.

Ayesha Saeed, Ming Jian, Muhammad Imran, Zhijia Sasha Dong, Gul Freen

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

5 authors.

Ayesha SaeedSchool of Transportation, Southeast University, Nanjing, 211189, Jiangsu, China.ORCID http://orcid.org/0000-0003-0509-6024
Ming JianSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu, 611756, Sichuan, China.
Muhammad ImranDepartment of Management and Marketing, Bang College of Business, KIMEP University, 050010, Almaty, Kazakhstan.ORCID http://orcid.org/0000-0002-2286-4382
Zhijia Sasha DongSchool of Transportation, Southeast University, Nanjing, 211189, Jiangsu, China. sasha@seu.edu.cn.ORCID http://orcid.org/0000-0003-0979-812X
Gul FreenDepartment of Mathematics and Statistics, International Islamic University, Islamabad, 44000, Pakistan.ORCID http://orcid.org/0000-0002-2688-7637

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid growth of electronic waste (e-waste) poses significant environmental and sustainability challenges and contributes to climate change. This paper presents a multi-objective, multi-period, mixed-integer linear programming (MILP) model of sustainable e-waste management, which incorporates economic, environmental, social, and risk-related objectives. The model focuses on maximizing four objectives, namely, (i) profit maximization, (ii) CO

Indexed as

Climate changeE-waste managementJob learning rateNeutrosophic multi-objective optimizationRisk mitigationSustainability

Identifiers

PMID42289451
PMCPMC13527064

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.