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Juniper Publishers Impact Metrics Explained: What They Mean for Authors in 2025

As academic publishing continues to evolve in 2025, researchers increasingly rely on clear, transparent impact indicators when choosing where to publish. Beyond journal scope and peer review, authors want to understand how their work will be discovered, read, and cited after publication. For authors considering Juniper Publishers, understanding the publisher’s impact-related metrics provides useful insight into visibility, reach, and long-term academic value. This guide explains the key impact metrics used by Juniper Publishers and what they mean for researchers publishing in 2025. 1. Impact-Factor–Style Metrics: Understanding Journal Activity Juniper Publishers journals display impact-related indicators that reflect citation activity and journal engagement. What this means These metrics indicate how often articles within a journal are cited They reflect the level of engagement within a research community They help authors understand readership and ...
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How Juniper Publishers Ensures High Editorial Standards

How Juniper Publishers Ensures High Editorial Standards Introduction Maintaining high editorial standards is critical in academic publishing to safeguard research quality and integrity. Juniper Publishers, an open-access publisher, outlines several mechanisms it employs to uphold these standards across its wide range of scientific journals. 1. Rigorous Peer Review System At the core of Juniper Publishers’ editorial process is a double-blind peer review system. This means both the reviewers and authors remain anonymous, reducing bias and promoting objective assessment. Manuscripts undergo evaluation for: Scientific validity Originality and relevance Logical structure and coherence Adherence to the journal’s scope This helps eliminate substandard or non-original work before publication. 2. Qualified Editorial Board Members Juniper relies on an international editorial board consisting of domain experts, researchers, and academicians. Their responsibilities...
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Controlling Informative Features for Improved Accuracy and Faster Predictions in Omentum Cancer Models

  Abstract Identification of suitable biomarkers for accurate prediction of phenotypic outcomes is a goal for personalized medicine. However, current machine learning approaches are either too complex or perform poorly. Here, a novel feature detection and engineering machine-learning framework is presented to address this need. First, the  Rip Curl  process is applied which generates a set of 10 additional features. Second, we rank all features including the  Rip Curl  features from which the top-ranked will most likely contain the most informative features for prediction of the underlying biological classes. The top-ranked features are used in model building. This process creates for more expressive features which are captured in models with an eye towards the model learning from increasing sample amount and the accuracy/time results. The performance of the proposed  Rip Curl  classification framework was tested on omentum cancer data.  Rip Curl ...
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Application of (bio) chemical engineering principles and lumping analysis in modelling the living systems

  Abstract The ”whole-cell” simulation of cell metabolic processes under considering a variable-volume modelling framework has been reviewed to prove their advantages when building-up modular model structures of simplified form that can reproduce complex protein syntheses inside cells. The more realistic “whole-cell-variable-volume” (VVWC) approach is reviewed when developing modular kinetic representations of the homeostatic gene expression regulatory modules (GERM) that control the protein synthesis and homeostasis of metabolic processes. The paper review the general concepts of the VVWC modelling, while the cited literature includes past and current experience with GERM linking rules in order to point-out how optimized globally efficient kinetic models for the genetic regulatory circuits (GRC) can be obtained to reproduce experimental observations. Based on quantitative regulatory indices evaluated vs. simulated dynamic and stationary environmental perturbations, the reviewed li...
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Easter Day Wishes - Juniper Publishers

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  Current Trends in Biomedical Engineering & Biosciences   Juniper Publishers
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Research as a Tool in the Elimination of Onchocerciasis_Juniper Publishers

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Current Trends in Biomedical Engineering & Biosciences   Juniper Publishers Adewale B* Mini Review Onchocerciasis is one of the five diseases referred to as preventive chemotherapy- Neglected Tropical Diseases (PC-NTDs). It affects 37 million people in 31 African countries as well as 3 countries in the Latin America and several areas in Yemen. Nigeria has the highest endemicity among countries responsible for 99% of infection globally. Blindness and severe skin manifestations are two major effects of the disease on affected populations with severe effects on affected communities. The disease is significantly a disease of the poor with economic implications resulting in further impoverishment of affected communities, a challenge to the achievement of SDGs 2 and 3 and national developmental goals. The main strategy for control in endemic countries is by mass ivermectin (Mectizan®) distribution. Mass distribution of ivermectin in Nigeria began in 1991 following su...
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Assessment of Different Sunflower Genotypes under Agro-Climatic Conditions of District Malakand Khyber-Pakhtunkhwa_Juniper Publishers

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Current Trends in Biomedical Engineering & Biosciences   Juniper Publishers Authored by Saif Ullah* Abstract The present study was conducted with the aim to evaluate sunflower hybrids under agro climatic conditions of district Malakand. A set of 8 sunflower hybrids was evaluated in randomized complete block design having two replications in spring 2014. Each sunflower genotype was sown in five meter long two rows 75cm apart with P-P distance 25cm. Data were recorded on yield and associated traits such as days to flower initiation, days to flower completion, days to maturity, plant height, head diameter, grain yield and 100 grain weight. Significant differences were observed among the genotypes for all the studied traits. The minimum days (80) to flower initiation were observed in Hybrid-14013 while maximum days (85) to flower initiation were observed in Hybrid-14009. Data regarding flower completion showed that Hybrid-14021 took maximum days (95) in flower complet...
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