cover
Contact Name
Muhammad Ridwan
Contact Email
bukharyahmedal@gmail.com
Phone
+6281375313465
Journal Mail Official
biohsjournal@gmail.com
Editorial Address
Komplek Jasari Muslim Jl. Perjuangan, Bandar Klippa, Percut Sei Tuan, Kabupaten Deli Serdang, Sumatera Utara 20371, Indonesia
Location
Kab. deli serdang,
Sumatera utara
INDONESIA
Britain International of Humanities and Social Sciences (BIoHS) Journal
Published by BIAR Publisher
ISSN : 26851989     EISSN : 26853868     DOI : https://doi.org/10.33258/biohs
BIoHS-Journal is a peer-reviewed journal published in February, June and October by BIAR Publisher. BIoHS Journal welcomes research paper in humanities: language and linguistics, history, literature, performing art, philosophy, religion, visual arts. Social sciences: economic, anthropology, sociology, psychology, geography, culture and ethics studies, gender and sexuality studies, archaeology and other related fields which is published in both online and printed versions.
Articles 285 Documents
Experiences of Mothers with High-Risk Pregnancy Dinar Indriani; Anisa Hasanah; Novi Irmala; Santi Susanti; Rai Nurani; Dyana Eka Fuzi Yulianti; Ida Maryati; Yanny Trisyani W
Britain International of Humanities and Social Sciences (BIoHS) Journal Vol 8 No 2 (2026): Britain International of Humanities and Social Sciences, June
Publisher : Britain International for Academic Research (BIAR) Publisher

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Abstract

High-risk pregnancy is a major global health issue, marked by high maternal and infant mortality rates, and poses both physical and psychological challenges for women. This study aimed to explore the experiences of women with high-risk pregnancies through a scoping and literature review using Medline, PubMed, and Scopus. The search utilized keywords related to maternal experiences in high-risk pregnancies and included qualitative and mixed-method studies published in English from 2016 to 2024. A total of 15 articles were reviewed, revealing six key experiences: continuous care, communication, psychological support, non-pharmacological therapies, understanding of risks, and technological advancements. Findings indicate that social support, ongoing healthcare access, and health technologies can reduce anxiety and improve well-being. Effective communication, continuous care models, and telemonitoring during the pandemic have shown positive impacts on managing high-risk pregnancies.
The Great Disconnect: Quantifying the Mismatch between STEM Skill Supply and Labor Market Demand in Ethiopian Engineering Education Abel Tesfaye Kebede
Britain International of Humanities and Social Sciences (BIoHS) Journal Vol 1 No 1 (2014): Britain International of Humanities and Social Sciences, June
Publisher : Britain International for Academic Research (BIAR) Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/biohs.v1i1.1450

Abstract

This study aimed to quantify skills gaps in Ethiopian engineering education across civil, electrical, mechanical, and chemical disciplines, identify perceptual differences among stakeholders, examine institutional and pedagogical determinants, and compare outcomes between Institutes of Technology (IoTs) and conventional university structures. A cross-sectional mixed-methods survey collected Likert-scale ratings from 320 graduates, 180 employers, and 140 instructors across seven universities. Descriptive statistics, non-parametric tests (Kruskal-Wallis, Mann-Whitney U), gap analysis, and visualizations (bar plots, heatmaps, radar charts, and box plots) were employed to assess alignment, stakeholder perceptions, and institutional/pedagogical influences. Findings Significant gaps (1.1–1.7 points on a 5-point scale) were found, largest in technical skills, discipline-specific knowledge, and generic technical competencies. Employers rated readiness substantially higher than graduates and instructors, with statistically significant divergence in technical domains. IoTs exhibited consistently smaller gaps (average reduction 0.20–0.25 points), lower lecture dominance, modestly higher project/problem-based learning, and stronger (though still limited) industry practitioner integration compared to conventional structures. Systemic misalignment between engineering curricula and labor-market needs persists, driven by lecture-heavy pedagogy, weak industry linkage, and institutional design differences. IoTs demonstrate structural advantages in reducing skills deficits. Shift toward active, project-based pedagogies, integrate industry practitioners systematically, scale IoT-inspired models nationwide, and establish continuous employer feedback mechanisms to align engineering education with Ethiopia’s industrialization priorities.
Enhancing Conceptual Understanding of Mechanics through Smartphone-Based Laboratories: A Quasi-Experimental Study with First-Year University Students Meseret Tadesse Bekele
Britain International of Humanities and Social Sciences (BIoHS) Journal Vol 1 No 1 (2014): Britain International of Humanities and Social Sciences, June
Publisher : Britain International for Academic Research (BIAR) Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/biohs.v1i1.1451

Abstract

Introductory mechanics courses present persistent challenges for first-year university students, who often hold robust misconceptions that traditional instruction fails to address. Smartphone-based laboratories (SmartIPLs) offer an accessible, low-cost alternative that may enhance conceptual understanding through authentic, inquiry-based experimentation. This quasi-experimental study investigated the effectiveness of smartphone-based laboratories for enhancing conceptual understanding of mechanics among first-year university students and examined gender differences in intervention outcomes. Methods: Participants were 128 first-year students (45% female, 55% male) randomly assigned to experimental (n = 64) and control (n = 64) groups. The experimental group completed five smartphone-based laboratory activities using the phyphox app over eight weeks, while the control group completed traditional verification laboratories covering identical mechanics topics. Conceptual understanding was measured using the Force Concept Inventory (FCI) at pretest and posttest. Student perceptions were assessed through a 12-item survey and focus group interviews. Data were analyzed using ANCOVA, two-way ANOVA, and thematic analysis.
The Spiral Code: Modeling the Morphogenetic Fingerprint of Life Samuel Desta Alemu
Britain International of Humanities and Social Sciences (BIoHS) Journal Vol 1 No 1 (2014): Britain International of Humanities and Social Sciences, June
Publisher : Britain International for Academic Research (BIAR) Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/biohs.v1i1.1452

Abstract

Natural morphologies, from phyllotactic spirals in sunflowers to logarithmic nautilus shells, embody efficient parametric geometries governed by irrational angles like the golden ratio (φ ≈ 1.618) and superformulas. These patterns optimize packing, growth, and structural integrity, inspiring biomimicry amid escalating demands for sustainable engineering by 2005. Purpose: This study synthesizes mathematical modeling of Fibonacci phyllotaxis, logarithmic spirals, L-systems, and superformulas to validate natural patterns, evolve biomimetic designs via genetic algorithms, and quantify performance in solar arrays, antennas, and composites. Evolutionary algorithms (population=200, generations=50) optimized parameters across morphospaces, integrated with FEA for structural metrics and ray-tracing for efficiency. Findings: Golden-angle phyllotaxis achieved 95% packing density, nautilus fits yielded b=0.31 (MSE=4.14), pinecone divergences α=142.3° (HD=0.20). Superformula morphospaces spanned m=1-8, n1=0.5-3.0, evolving b from 0.08 to 0.124 (+55%).
Ethical Implications of Artificial Intelligence in Health Communication Practice in Nigeria Chinelo Ebele Uchendu; Mmesomachukwu Chukwuemeka Iloh; Carol Dixon Odoyi; Abdullahi Aliyu Maiwada
Britain International of Humanities and Social Sciences (BIoHS) Journal Vol 8 No 2 (2026): Britain International of Humanities and Social Sciences, June
Publisher : Britain International for Academic Research (BIAR) Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Artificial intelligence (AI) is increasingly shaping the landscape of health communication by transforming the ways health information is generated, distributed, and consumed. In Nigeria, the integration of AI-driven technologies such as chatbots, automated health information systems, predictive analytics, and algorithm-based content dissemination has created new opportunities for improving public health communication and expanding access to health information. However, the rapid adoption of these technologies also raises significant ethical concerns that require critical scholarly attention. This paper provides a conceptual examination of the ethical implications of AI in health communication practice in Nigeria. Based on the existing literature on digital communication, health communication, and technology ethics, the paper explores key ethical issues including data privacy and protection, algorithmic bias, misinformation and disinformation, transparency and accountability, and the digital divide. The paper argues that while AI has the potential to enhance the efficiency, reach, and personalization of health communication, the absence of robust ethical guidelines and regulatory frameworks may undermine public trust and exacerbate existing health inequalities. In the Nigerian context, where disparities in digital literacy and access to technology remain pronounced, the ethical deployment of AI becomes even more critical to ensure that vulnerable populations are not marginalized in the process of technological innovation. The paper therefore advocates for the development of context-specific ethical standards, stronger regulatory oversight, and interdisciplinary collaboration among communication scholars, health professionals, policymakers, and technology developers. Such measures are necessary to ensure that the application of AI in health communication aligns with principles of equity, responsibility, and public interest.

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