Exploring the ethical dilemmas of afro-centric social media use through agent-based modeling: A review

Social media (SM) has become indispensable for individuals and workplaces/organizations in Africa and beyond. Therein, ethical concerns are posed due to the inability to create virtual boundaries (VM), the intractability of guidelines for managers and other unintended risks/con­sequences. Operations research was used for modeling ethical concerns but have been defeated due to reasons of several ethical values and various assessment criteria for stakeholders. Conse­quently, this review paper initially x-rays the import of ethical dilemmas in older studies so as to conceive a strategy characterized by engaging stakeholders that utilize SM via Agent-Based Modeling (ABM), in such a manner that ethics can be evaluated. Additionally, it presented the rudiments of social media ABM explorations and the peculiarities of Africa. Finally, the review provided a suitable methodology and sheds light on the possible challenges of ABM implementation. Besides the benefit of increased patronage, the agent technology may also constitute a pedagogical tool for learning ethical behavior. Moreover, it is our hope that with the involvement of experts of related disciplines in Africa, attendant theories are formalized and used for building agent models that allows ethical decision making, weighing of pros and cons, analyzing differences and dimensions inherent in VM creation

Ontology Based Decision Support System for Youth Counseling

Abstract— The amount of data residing in social media currently untapped is certainly limitless as millions of people are constantly posting one or more messages to public forums on the internet. Social media, for example, Twitter with over 320 million monthly active users has proven to be a fertile ground for harvesting opinions from multiple people. This project develops an ontology based decision support system that analyses social media content for the purpose of youth counseling. For the development of this project, Java programming language and My Structured Query Language (MYSQL) was used to design the interface while Java programming Language, Stanford Natural Language Processor (NLP), Jena Application Program Interface (API) and Protégé Owl was used to develop the text analysis component of the system. This project has been able to create a system that bridges gap between parents and their wards, as teenagers spend a lot of time online. It serves as a tool for parents to monitor the interactions of their wards with other social media users as well as understand the mental state of their children. It will also help youth become an effective member of the society

A Phase Error Correction System for Bioimpedance Measurement Circuits

Bioimpedance sensing is widely used across a spectrum of biomedical applications. Among the different system architectures for measuring tissue impedance, synchronous detection or demodulation (SD) stands out for its lock-in amplifier utilising in-phase (I) and quadrature (Q) demodulation signals to derive real and imaginary impedance components. Typically, the current injected into the tissue is controlled by a voltage-controlled current source (VCCS). However, the VCCS can introduce phase shifts leading to discrepancies in real/imaginary outputs, especially at the highest end of the operating frequency bandwidth. Such discrepancies can significantly impact diagnostic accuracy in applications reliant on precise tissue phase profiling, such as cancer and neuromuscular evaluations. In the present work, we propose an automatic phase error compensation stage for bioimpedance measurement systems to minimise this systematic error. Our experimental findings demonstrated a considerable reduction in phase error, with the Phase Error Compensated Synchronous Detection (PECSD) system exhibiting a maximum phase error of 2° (≤5% error) compared with the uncompensated SD system where error exceeded 20%. The improvements made by our proposed SD system hold great potential for enhancing the accuracy of impedance measurements, particularly in clinical diagnosis and disease detection

A 3 MHz Low-Error Adaptive Howland Current Source for High-Frequency Bioimpedance Applications

Bioimpedance is a diagnostic sensing method used in medical applications, ranging from body composition assessment to detecting skin cancer. Commonly, discrete-component (and at times integrated) circuit variants of the Howland Current Source (HCS) topology are employed for injection of an AC current. Ideally, its amplitude should remain within 1% of its nominal value across a frequency range, and that nominal value should be programmable. However, the method’s applicability and accuracy are hindered due to the current amplitude diminishing at frequencies above 100 kHz, with very few designs accomplishing 1 MHz, and only at a single nominal amplitude. This paper presents the design and implementation of an adaptive current source for bioimpedance applications employing automatic gain control (AGC). The “Adaptive Howland Current Source” (AHCS) was experimentally tested, and the results indicate that the design can achieve less than 1% amplitude error for both 1 mA and 100 µA currents for bandwidths up to 3 MHz. Simulations also indicate that the system can be designed to achieve up to 19% noise reduction relative to the most common HCS design. AHCS addresses the need for high bandwidth AC current sources in bioimpedance spectroscopy, offering automatic output current compensation without constant recalibration. The novel structure of AHCS proves crucial in applications requiring higher β-dispersion frequencies exceeding 1 MHz, where greater penetration depths and better cell status assessment can be achieved, e.g., in the detection of skin or breast cancer

Evaluation of crayfish chaff charcoal agar as a transport medium for anaerobes

A laboratory formulated crayfish chaff charcoal agar (CCCA) was evaluated both as transport and storage medium for anaerobic bacteria in parallel with Amies charcoal agar (ACA), cooked meat medium (CMM) and thioglycollate broth (TCB). The survival of anaerobes in swab obtained clinical specimens and viability of specific anaerobes in these media were assessed. Eight genera of anaerobes (Bacteroides, Fusobacterium, Parvobacteroides, Porphyromonas, Prevotella, Clostridium, Peptoniphilus, Peptostreptococcus) were isolated from ACA, CMM and CCCA, 7 (Bacteroides, Fusobacterium, Parvobacteroides, Prevotella, Clostridium, Peptoniphilus, Peptostreptococcus) from TCB transported specimens. Comparatively, the difference in isolation rate of anaerobes in aspirate (85%) and swab (75%) processed specimens was not significant (p < 0.05). Irrespective of storage temperature (-20°C or 30 + 2°C), positive anaerobic cultures from 7-day stored swab specimens in transport media were TCB 10, CCCA 14, ACA and CMM 18 each. Anaerobes recovery from CCCA and ACA were comparable (p < 0.05). Quantitatively, Bacteroides was recovered after 6 weeks of storage in CCCA with counts of 10 6.1 and 10 5.6 CFU/ml at -20°C and 30 + 2°C respectively. Similar pattern of recovery occurred with Prevotella, Clostridium and Peptoniphilus in CCCA, ACA and other transport media with no significant differences in viable counts (p < 0.05). The CCCA function is comparable with those of the other media and can be prepared and used in-house for transport of clinical specimens and short term storage of anaerob

Multi-Modal Spectroscopic Assessment of Skin Hydration

Human skin acts as a protective barrier, preserving bodily functions and regulating water loss. Disruption to the skin barrier can lead to skin conditions and diseases, emphasizing the need for skin hydration monitoring. The gold-standard sensing method for assessing skin hydration is the Corneometer, monitoring the skin’s electrical properties. It relies on measuring capacitance and has the advantage of precisely detecting a wide range of hydration levels within the skin’s superficial layer. However, measurement errors due to its front end requiring contact with the skin, combined with the bipolar configuration of the electrodes used and discrepancies due to variations in various interfering analytes, often result in significant inaccuracy and a need to perform measurements under controlled conditions. To overcome these issues, we explore the merits of a different approach to sensing electrical properties, namely, a tetrapolar bioimpedance sensing approach, with the merits of a novel optical sensing modality. Tetrapolar bioimpedance allows for the elimination of bipolar measurement errors, and optical spectroscopy allows for the identification of skin water absorption peaks at wavelengths of 970 nm and 1450 nm. Employing both electrical and optical sensing modalities through a multimodal approach enhances skin hydration measurement sensitivity and validity. This layered approach may be particularly beneficial for minimising errors, providing a more robust and comprehensive tool for skin hydration assessment. An ex vivo desorption experiment was carried out on fresh porcine skin, and an in vivo indicative case study was conducted utilising the developed optical and bioimpedance sensing devices. Expected outcomes were expressed from both techniques, with an increase in the output of the optical sensor voltage and a decrease in bioimpedance as skin hydration decreased. MLR models were employed, and the results presented strong correlations (R-squared = 0.996 and p-value = 6.45 × 10−21), with an enhanced outcome for hydration parameters when both modalities were combined as opposed to independently, highlighting the advantage of the multimodal sensing approach for skin hydration assessment

Does public capital expenditure reduce energy poverty? Evidence from Nigeria

Purpose - Given the ever-growing fiscal commitments of Nigeria and her chequered history of electricity generation and distribution, the fortunes of the energy sector in the country have been affected by the prevalence of energy poverty. Government policies such as public capital expenditure (PCE) present a crucial option for reducing energy poverty in Nigeria, providing the research impetus for this study. Design/methodology/approach -To investigate the relationship between government capital spending and five distinct energy poverty proxies, this research applies the Bayer-Hanck cointegration system and the Auto-Regressive Distributed Lag (ARDL) bound test. Findings -The findings indicate that public capital spending in Nigeria worsens energy poverty by reducing access to electricity, urban electrification, renewable energy consumption, and renewable electricity generation, with a positive but insignificant influence on rural electrification. Originality/value - This inquiry presents a pioneering investigation of the nexus between PCE and energy poverty in Nigeria. Also, aside from the variables of energy poverty adopted by existing studies, this study incorporates renewable energy consumption and renewable electricity output with implications for energy poverty and sustainable development

The progression of diversity: Black women in neurosurgery

While diversity in organized medicine has undoubtedly improved, a disparity remains in the racial and gender makeup of its constituents. This disparity is not distributed equally among all specialties of practice. The surgical subspecialties exemplify this phenomenon by having large gaps between the number of women and racial/ethnic minorities compared to their majority counterparts. Pertaining to neurosurgery in the US, this gap is substantial, with women reaching minority status only within the last 2 years. Among international women in neurosurgery, Black women are even further underrepresented despite efforts in recent years to close the gender gap. The reason for this disparity is likely multifactorial, as Black women demonstrate a unique intersectionality as a minority in regard to both race and gender. In this study, the authors provide historical context for the current state of diversity in neurosurgery and the global strides made by Black women within the field. The authors report recurrent themes in the experiences of Black female neurosurgery attendings and residents as revealed through personal interviews. Furthermore, they examine factors that contribute to the disproportionate representation of Black women in neurosurgery

The progression of diversity: Black women in neurosurgery

While diversity in organized medicine has undoubtedly improved, a disparity remains in the racial and gender makeup of its constituents. This disparity is not distributed equally among all specialties of practice. The surgical subspecialties exemplify this phenomenon by having large gaps between the number of women and racial/ethnic minorities compared to their majority counterparts. Pertaining to neurosurgery in the US, this gap is substantial, with women reaching minority status only within the last 2 years. Among international women in neurosurgery, Black women are even further underrepresented despite efforts in recent years to close the gender gap. The reason for this disparity is likely multifactorial, as Black women demonstrate a unique intersectionality as a minority in regard to both race and gender. In this study, the authors provide historical context for the current state of diversity in neurosurgery and the global strides made by Black women within the field. The authors report recurrent themes in the experiences of Black female neurosurgery attendings and residents as revealed through personal interviews. Furthermore, they examine factors that contribute to the disproportionate representation of Black women in neurosurgery