Artificial Intelligence (AI) systems are increasingly influencing critical sectors including healthcare, finance, cybersecurity, education, transportation, and scientific discovery. As AI research rapidly expands, the accuracy and integrity of performance reporting have become essential to maintaining public trust and scientific credibility. One of the most concerning issues in modern AI evaluation is the practice of cherry-picking…
In scientific and technological research, failed experiments are often viewed as setbacks rather than meaningful contributions. Many researchers hesitate to report unsuccessful outcomes because academic publishing has historically favored positive results, statistically significant findings, and successful system performance. However, modern research culture is increasingly recognizing that failed experiments can provide valuable scientific insight when reported…
The field of ubiquitous technology is evolving at an extraordinary pace. Emerging innovations in artificial intelligence, Internet of Things (IoT), wearable computing, edge intelligence, smart environments, cybersecurity, and human computer interaction continuously reshape how digital systems interact with society. Ubiquitous Technology Journal (UTJ), published by Crosslink Studies, encourages contributions that demonstrate originality, methodological rigor, technological…
Retraction is one of the most serious actions in scholarly publishing. It is used when a published research article contains major problems that affect its reliability, integrity, originality, ethical compliance, or legal status. A retraction does not always mean that misconduct occurred; in some cases, it results from honest error, publisher mistakes, legal issues, or…
Dataset selection is one of the most critical stages in software engineering, artificial intelligence, machine learning, and data-driven research. A strong experimental design can still produce misleading conclusions if the dataset selection process introduces bias. For this reason, reputable journals increasingly expect researchers to justify how datasets were selected, filtered, balanced, and evaluated. In modern…
Machine learning research is advancing rapidly, but many published studies remain difficult or impossible to reproduce because critical experimental details are missing. In modern scientific publishing, reviewers increasingly evaluate not only the novelty of a model but also whether the experimental setup is transparent, reproducible, and scientifically reliable. For journals such as Ubiquitous Technology Journal…
In contemporary computational research, algorithm description is no longer a formality, it is a credibility test. Journals and reviewers increasingly evaluate manuscripts based on whether the proposed method can be independently implemented and verified. CLS emphasize that reproducibility requires clear, complete, and executable descriptions of methods, enabling others to follow the same steps and obtain…
In contemporary scholarly publishing, the research objective is not merely a formal requirement, it is the intellectual anchor of a manuscript. High-impact journals consistently prioritize submissions where objectives are clearly defined, empirically testable, and aligned with real-world relevance. For Crosslink Studies (CLS)and the Ubiquitous Technology Journal (UTJ), this principle is even more critical. Given the…
In competitive academic publishing, it is not enough to present strong research you must position it effectively within the current literature. Editors and reviewers expect authors to demonstrate not only what they have done, but also how their work advances, differs from, or complements recent studies. At Ubiquitous Technology Journal (UTJ), successful manuscripts clearly articulate…
One of the most common and avoidable reasons for manuscript rejection is a scope mismatch. Even high-quality research can face immediate desk rejection if it does not align with a journalβs aims and scope. Top-tier publishers consistently emphasize that fit is as important as quality. Before submission, authors must evaluate whether their work contributes meaningfully…
