ISSN2584-1599 (Online) | A Gateway to Cutting-Edge Research
COPE Ethical Publishing|UGC & Scopus Alignment

KHOINCHHA

Scholarly Exploration

Multilingual & Multidisciplinary Journal

A Vessel of Intellectual Abundance

Khoinchha (E-ISSN: 2584-1599) is a distinguished research journal established in 2023, dedicated to fostering global knowledge exchange and academic excellence. Published biannually in June and December, we serve as a unique platform that transcends linguistic boundaries, celebrating the richness of Bharatiya languages and English.

Submit Your ManuscriptEditorial Workspace

Journal Statistics

E-ISSN

2584-1599

Established

2023

Frequency

Biannually

Fee Model

No Fee (APC $0)

Peer-Review: Double BlindOpen Access CC-BY-NC
Archive Shelf

Volumes & Issues

2 regular issues
Volume 43, Issue 3

Khoinchha

Vol. 43 | Iss. 3

Vol. 43, No. 3

Volume 43, Issue 3

1 paper published

Inaugural Scholarly Explorations Issue

Khoinchha

Vol. 628 | Iss. 7995

Vol. 628, No. 7995

Inaugural Scholarly Explorations Issue

3 papers published

Recent Articles Feed

4 articles logged
ARTICLE
Mar 12, 2026•Vol 628, Iss 7995

Evidence of Room-Temperature Superconductivity in Carbonaceous Sulfur Hydride

Superconductivity at room temperature has been a long-sought goal of condensed-matter physics. Here we report the discovery of superconductivity in a carbonaceous sulfur hydride system under high pressure. We observe a superconducting transition temperature of 287.7 Kelvin (approximately 15 degrees Celsius) at a pressure of 267 gigapascals, using a diamond-anvil cell. Superconductivity is established by electrical resistance measurements, magnetic susceptibility tests, and Raman spectroscopy. This work opens avenues for room-temperature quantum electronics and energy transmission.

By Mercer, A., Jenkins, S.
DOI: 10.2584/khoinchha.2026.34114Read Full Text
ARTICLE
Mar 19, 2026•Vol 628, Iss 7995

Single-Cell Transcriptomic Atlas of Embryonic Lineage Differentiation in Homo sapiens

Deciphering the spatial and temporal cell lineage pathways in developing human embryos remains a central challenge in developmental biology. We utilize high-throughput single-cell RNA sequencing to profile embryo transcription dynamics across development stages. By tracking 42,000 cells from pre-implantation to early organogenesis, we reconstruct the cell differentiation trajectory, highlighting the transcription factors that govern embryogenesis. These findings provide a comprehensive structural map of early human lineage decisions, serving as a baseline for regenerative medicine.

By Rostova, E., Miller, D.
DOI: 10.2584/khoinchha.2026.34115Read Full Text
ARTICLE
Apr 2, 2026•Vol 628, Iss 7995

Deep Generative Learning for Automated Protein Folding and Molecular Docking Predictions

Predicting the three-dimensional structures of proteins and their docking configurations with ligands represents a key computational bottle-neck in structural biology and drug discovery. We present FoldingNet, a deep neural network that directly predicts atomic coordinates of protein structures from amino acid sequences. By leveraging attention networks and evolutionary coupling inputs, FoldingNet achieves sub-angstrom accuracy across 450 test folds. Furthermore, we demonstrate real-time molecular docking simulation with high-affinity ligands, dramatically accelerating drug candidate search times.

By Jenkins, S., Mercer, A.
DOI: 10.2584/khoinchha.2026.34116Read Full Text

Journal Compliance

  • 01**Multilingual Platform**: We publish articles in both English and Bharatiya languages (e.g. Sanskrit, Hindi, Bangla, Bhojpuri, Telugu, etc.) to support regional academic work.
  • 02**No Fees (100% Free)**: We charge no submission or publication fees, ensuring equitable participation for researchers globally.
  • 03**CC BY-NC 4.0 Licensing**: Content is licensed under Creative Commons, allowing non-commercial reuse with full author attribution.
  • 04**Double-Blind Peer Review**: Rigorous evaluations by field experts ensure transparency and academic integrity.

Publisher Tools

CrossRef XML Export XML Sitemap