Sub-Saharan Africa (SSA) is experiencing rapid economic growth and rising demand for energy, accompanied by significant low energy access and sustainability challenges. Globally, to address similar issues and unlock a region's energy potential, regional integrated energy systems have gained traction, and initiatives such as establishing power pools for regional electricity markets, cross-border power exchanges, and integrating renewable energy resources are being promoted. This paper describes the status of regional integrated energy systems in Sub-Saharan Africa. We analyze the energy growth achieved through effective strategies and policies that support regional integrated energy systems in developed and developing regions (the United Kingdom and China). Our findings show that challenges, including limited access to financing, regulatory barriers, lack of effective energy planning model, inadequate supporting policies, and fragmented institutional frameworks, hinder the region's widespread deployment of regional integrated energy systems. Taking lessons from the case studies, addressing SSA's energy challenges requires concerted efforts from governments, international organizations, and the private sector to create enabling policy environments, mobilize investments, and build technical capacity and supporting infrastructures. Regional integrated energy systems can enhance energy security by diversifying energy sources, fostering economic development, and stimulating cross-border energy trade. In the United Kingdom, the implementation of integrated energy systems has contributed to a 25% reduction in carbon emissions and a 15% increase in energy efficiency over the past decade. Similarly, in China, the integration of renewable energy sources into regional energy systems has led to a 30% increase in renewable energy capacity and a 20% decrease in coal consumption since 2010. China owns 32% of global renewable energy market, alongside an installed capacity of about 1.26 TW in the first quarter of 2023. Our findings from the power pools indicate that three out of the four pools possess significant hydro energy resources. Specifically, within the CAPP region, 7 out of 10 countries heavily rely on hydro energy, while in EAPP, 6 out of 11 countries exhibit a similar dependency. Moreover, within SAPP, 9 out of 12 countries and within WAPP, 5 out of 14 countries rely significantly on hydro energy.

Alkhumra hemorrhagic fever virus (AHFV) has spread beyond the Middle East. However, the actual global prevalence of the virus is yet unknown. This systematic review and meta-analysis, thus, followed the standard reporting guidelines to provide comprehensive details on the prevalence of Alkhumra virus infection globally. The pooled prevalence of AHFV globally was estimated at 1.3% (95% CI: 0.3–6.3), with higher prevalence in humans (3.4%, 95% CI: 0.4–25.0) compared to animals (0.7%, 95% CI: 0.3–1.8). The prevalence in ticks and camels were 0.7% and 0.2%, respectively. Overall, there was a high prevalence rate in Asia (2.6%) compared to Africa (0.5%), and a distinctly higher prevalence in Saudi Arabia (4.6%) compared to other parts of the world (<1%). Lower surveillance rate in humans was observed in recent years. These findings will aid public health preparedness, surveillance, and development of preventive measures due to AHFV’s potential for outbreaks and severe health consequences.

Streptococcus pneumoniae (S. pneumoniae) is a bacterial species often associated with the occurrence of community-acquired pneumonia (CAP). CAP refers to a specific kind of pneumonia that occurs in individuals who acquire the infection outside of a healthcare setting. It represents the leading cause of both death and morbidity on a global scale. Moreover, the declaration of S. pneumoniae as one of the 12 leading pathogens was made by the World Health Organization (WHO) in 2017. Antibiotics like β-lactams, macrolides, and fluoroquinolones are the primary classes of antimicrobial medicines used for the treatment of S. pneumoniae infections. Nevertheless, the efficacy of these antibiotics is diminishing as a result of the establishment of resistance in S. pneumoniae against these antimicrobial agents. In 2019, the WHO declared that antibiotic resistance was among the top 10 hazards to worldwide health. It is believed that penicillin-binding protein genetic alteration causes β-lactam antibiotic resistance. Ribosomal target site alterations and active efflux pumps cause macrolide resistance. Numerous factors, including the accumulation of mutations, enhanced efflux mechanisms, and plasmid gene acquisition, cause fluoroquinolone resistance. Furthermore, despite the advancements in pneumococcal vaccinations and artificial intelligence (AI), it is not feasible for individuals to rely on them indefinitely. The ongoing development of AI for combating antimicrobial resistance necessitates more research and development efforts. A few strategies can be performed to curb this resistance issue, including providing educational initiatives and guidelines, conducting surveillance, and establishing new antibiotics targeting another part of the bacteria. Hence, understanding the resistance mechanism of S. pneumoniae may aid researchers in developing a more efficacious antibiotic in future endeavors.

Hand, Foot, and Mouth Disease (HFMD) is an outbreak infectious disease that can easily spread among children under the age of five. The most common causative agents of HFMD are enterovirus 71 (EV71) and coxsackievirus A16 (CVA16), but infection caused by EV71 is more associated with fatalities due to severe neurological disorders. The present diagnosis methods rely on physical examinations by the doctors and further confirmation by laboratories detection methods such as viral culture and polymerase chain reaction. Clinical signs of HFMD infection and other childhood diseases such as chicken pox, and allergies are similar, yet the genetics and pathogenicity of the viruses are substantially different. Thus, there is an urgent need for an early screening of HFMD using an inexpensive and user-friendly device that can directly detect the causative agents of the disease. This paper reviews current HFMD diagnostic methods based on various target types, such as nucleic acid, protein, and whole virus. This was followed by a thorough discussion on the emerging sensing technologies for HFMD detection, including surface plasmon resonance, electrochemical sensor, and surface enhanced Raman spectroscopy. Lastly, optical absorption spectroscopic method was critically discussed and proposed as a promising technology for HFMD screening and detection.

The proliferation of autonomous vehicles (AVs) emphasises the pressing need to navigate challenging road networks riddled with anomalies like unapproved speed bumps, potholes, and other hazardous conditions, particularly in low- and middle-income countries. These anomalies not only contribute to driving stress, vehicle damage, and financial implications for users but also elevate the risk of accidents. A significant hurdle for AV deployment is the vehicle’s environmental awareness and the capacity to localise effectively without excessive dependence on pre-defined maps in dynamically evolving contexts. Addressing this overarching challenge, this paper introduces a specialised deep learning model, leveraging YOLO v4, which profiles road surfaces by pinpointing defects, demonstrating a mean average precision (mAP@0.5) of 95.34%. Concurrently, a comprehensive solution—RA-SLAM, which is an enhanced Visual Simultaneous Localisation and Mapping (V-SLAM) mechanism for road scene modeling, integrated with the YOLO v4 algorithm—was developed. This approach precisely detects road anomalies, further refining V-SLAM through a keypoint aggregation algorithm. Collectively, these advancements underscore the potential for a holistic integration into AV’s intelligent navigation systems, ensuring safer and more efficient traversal across intricate road terrains.

PurposeDespite positive serological outcome, molecular confirmations have encountered little/no success either due to protocol accuracy, primer targets, or choice of sample amongst others. This study aims at providing an optimized protocol for the molecular detection of Zika virus amongst serologically positive respondent using samples from 2 selected hospitals in North Central Nigeria. Materials and methodsAbout five (5) ml of blood samples was collected from a total of 400 participants for serological analysis, the IgM-positive samples were processed for molecular analysis using target primers from Asian and African lineage while a structured questionnaire was used to evaluate risk factors. ResultsPrevalence of 19% (38) and 45% (90) IgM and IgG positivity was recorded amongst respondent in Federal Medical Center (FMC), Keffi (R2=1) while 36% (72) and 42% (84) was recorded in General Hospital (GH), Minna (R2=1). The respective risk factors such as proximity of respondent to stagnant water or drainage channel, frequency of mosquito bite, prevention strategy, implementation of the prevention strategies for mosquito, and consumption of bushmeat were significant at set standard of P<0.05. Molecular quantification revealed cut-off values (Ct) from 21.73 to 25.75 for all the 3 targeted protein while sequence analysis showed relatedness to deposited sequences in GenBank. ConclusionsThe abundance of the viral proteins as well as the genetic relatedness is indicative of presence of multiple strains of the virus or conservation of region across different geolocations. In lieu of the outcome, primers from multiple lineages is thereby recommended to forestall/overcome the challenge of cross-reactivity/false-negativity with Zika virus detection.

TNFR2 is a surface marker of highly suppressive subset of CD4+ FoxP3+ regulatory T cells (Tregs) in humans and mice. This study examined the TNFR2 expression by Tregs of nasopharyngeal carcinoma (NPC) patients and healthy controls. The proliferation, migration, survival of TNFR2+ Tregs, and association with clinicopathological characteristics were assessed. The expression levels of selected cytokines were also determined. The results demonstrated that in both peripheral blood (PB) (10.45 ± 5.71%) and tumour microenvironment (TME) (54.38 ± 16.15%) of NPC patients, Tregs expressed TNFR2 at noticeably greater levels than conventional T cells (Tconvs) (3.91 ± 2.62%, p < 0.0001), akin to healthy controls. Expression of TNFR2 (1.06 ± 0.99%) was correlated better than CD25+ (0.40 ± 0.46%) and CD127-/low (1.00 ± 0.83% ) with FoxP3 expression in NPC PB (p = 0.0005). Though there was no significant association between TNFR2 expression with the functional capacity (proliferation, migration and survival) of Tregs (p > 0.05), the proportions of PB and TME TNFR2+ Tregs in NPC patients showed more proliferative, higher migration capacity, and better survival ability, as compared to those in healthy controls. Furthermore, TNFR2+ Tregs from NPC patients expressed significantly higher amounts of IL-6 (p = 0.0077), IL-10 (p = 0.0001), IFN-γ (p = 0.0105) and TNF-α (p < 0.0001) than those from healthy controls. Most significantly, TNFR2 expression in maximally suppressive Tregs population were linked to WHO Type III histological type, distant metastasis, progressive disease status, and poor prognosis for NPC patients. Hence, our research implies that TNFR2 expression by PB and TME Tregs may be a useful predictive indicator in NPC patients.

Background/Aim: Nano-sized particles are recently being explored to improve delivery and efficacy of various medicinal. This study aims to determine the antibacterial activity of the leaf and bark of Mangifera indica against two selected clinical isolates (Escherichia coli and Staphylococcus aureus). Materials and Methods: The active constituents from the powdered leaf and bark was extracted via use of ethanol (70%). Silver nanoparticles were prepared by green synthesis technique using Mangifera indica (Mango leaf and bark) while UV–Vis spectroscopy was used for its characterization. Antibacterial profile of the isolates with standard antibiotics as well as the antibacterial activity of the plant extracts was determined using disk and agar diffusion method. Results: The results showed that the bark and leaf extracts of M. indica had significant antibacterial activity against the isolates when compared to standard antibiotics such as Cloxacillin, Augmentin, Ceftraroline and Ceftriazone while Ofloxacine had highest activity of 20 mm and 23 mm for S. aureus and E. coli respectively. Ethanol extracts showed highest inhibition at 23mm (bark) and 15mm (leaf). The band energy of the synthesized nanoparticle was calculated as 393 nm from UV–Vis, which confirmed the Ag nanoparticles. The AgNo3 displayed significant antibacterial activity against E. coli (10mm) and S. aureus (13mm). The result indicated that the AgNo3 antibacterial activity was higher against S. aureus than against E. coli. Conclusion: This study reveals significant antibacterial activity of crude mango leaf and bark extract as well as silver nanoparticle against the clinical isolates in comparison to some standard antibiotics. Further study on the extraction of the bioactive agent in the plant is required to provide a variety of novel components for drug discovery.