The construction industry, being responsible for a large share of global carbon emissions, needs to reduce its high carbon output to meet carbon reduction goals. Artificial intelligence can provide efficient support for carbon emission calculation and prediction. Here, we review the use of artificial intelligence techniques in forecasting, management and real-time monitoring of carbon emissions, focusing on how they are applied, their impacts, and challenges. Compared to traditional methods, the prediction accuracy of artificial intelligence models has increased by 20%. Artificial intelligence-driven systems could reduce carbon emissions by up to 15% through real-time monitoring and adaptive management strategies. Artificial intelligence applications improve energy efficiency in buildings by up to 25%, while reducing operational costs by up to 10%. Artificial intelligence supports the establishment of a digital carbon management system and contributes to the development of the carbon trading market.

BioH₂, a modern biofuel with clean energy attributes and effective waste management capabilities, emerges as a promising energy source. This study employs quantitative modelling to evaluate India's bioH₂ production potential from major crop residues. Among the seven selected crop residues, West Bengal, Uttar Pradesh, and Karnataka stand out as the top three states with surplus crop residues. The annual estimated bioH₂ generation potential, without pretreatment, reaches approximately 103 PJ, a figure that soars to around 300 PJ with pretreatment, representing a remarkable 191 % improvement. The study underscores the effectiveness of pretreatment methods involving acid, alkali, or heat in enhancing bioH₂ production. Despite these promising findings, efficiency-related challenges, including temperature, pH, and pretreatment factors, are recognised. The study proposes further research and decentralised production projects as potential strategies to address these challenges, enhancing India's energy security by reducing dependence on imported fossil fuels.

In the shift toward sustainable energy, biodiesel production has garnered significant attention for its potential as an environmentally friendly alternative to petroleum diesel. This study reviews advancements in biodiesel production technologies, including traditional and emerging techniques such as microwave and ultrasonic-assisted transesterification. Comprehensive cost analyses demonstrate potential operational expense reductions with microwave-assisted and ultrasound-assisted methods. The study identifies critical challenges in feedstock selection, catalyst reusability, and production scalability while proposing innovative solutions, such as integrating waste-derived feedstocks and advanced heterogeneous catalysts. These findings provide practical insights into enhancing biodiesel production's economic feasibility and environmental sustainability.

Background: Allovahlkampfia spelaea (A. spelaea) is a free-living amoeba that has recently been recognized to
cause Acanthamoeba-like keratitis, the treatment of which is complex. The pathogenic potential of Allovahlkampfia
spp. remains unexplored. This study characterized A. spelaea through ultrastructural morphological
analysis and investigated the pathogenic potential of the A. spelaea strain KS1, which was isolated from a patient
with keratitis, in a murine model, with a focus on neuro-pulmonary infections. Additionally, this study assessed
the therapeutic effectiveness of ellagic acid (EA) against tissue damage caused by amoebic infections.
Methods: Immunosuppressed male Wister rats were intranasally inoculated with A. spelaea trophozoites (1 × 106/
ml) and divided into control, infected untreated, and infected treated (50 mg/kg EA daily) groups. Histopathological
and ultrastructural analyses of brain and lung tissues were conducted by scanning and transmission
electron microscopy. Additionally, the therapeutic effects of EA were assessed via comparative tissue pathology.
Results: A. spelaea infection induced A. spelaea-induced neural lesions resembling granulomatous amoebic encephalitis
(GAE) in the brain, which was characterized by gliosis, vasculitis, and necrosis, in addition to severe
pulmonary damage, including suppurative bronchopneumonia and abscesses. Trophozoites presented with
pseudopodia, acanthopodia, and amoebostomes, whereas cysts presented with double-layered walls. EA-treated
rats presented nearly normal brain and lung histology, with reduced inflammation and gliosis, highlighting the
anti-inflammatory and antioxidant properties of EA.
Conclusion: This study highlights the neurotropic and pulmonary pathogenicity of A. spelaea, with ultrastructures
parallel to those of Vahlkampfia spp. and Acanthamoeba spp. Ellagic acid significantly reduces infection-induced
damage, underscoring its potential as a therapeutic agent for infections caused by free-living amoebae.

Abstract
Objective This study’s aim was: (1) introduce the digital drying oven as a reproducible, controllable, and accurate
heating device for burn model creation. (2) Define the heating temperature appropriate for developing consistent
second and third-degree burn injuries in rats.
Results Burns appeared deeper with more distinct borders in groups (B) and (C) than in group (A). The stainless-steel
rod at 100 ºC created burn injuries of the second degree, evidenced by the sloughing of the epidermis and necrosis
in the epithelium and upper part of the dermis. Heating at 150 and 200 ºC created third-degree burn injuries, where
necrosis involved the epidermis and dermis and extended to the subcutaneous fat and muscles. The depth of the
burn wound in the group (B) (371.2 ± 41.3 μm) and (C) (385.2 ± 38.0 μm) was significantly deeper compared with the
group (A) (178 ± 46.6 μm) (P < 0.001). The digital drying oven is a reliable, reproducible, and controllable heating device
for creating burn models. The stainless-steel rod (63 g and 8 mm) heated at 100 and 150 ºC with a contact time of 30 s
is adequate for creating consistent second and third-degree burn injuries in rats, respectively.

Background

T2DM is a chronic disorder with progressive neuromuscular alterations. L-arginine (ARG) is the most common semi-essential amino acid having several metabolic functions.

Aim

to investigate the impact of L-arginine in combating diabetic-induced neuromyopathy and its possible mechanisms.

Materials & Methods

24 rats were divided into CON, CON+ARG, DC, DC+ARG. Behavioral tests, Body weight (BW), fasting blood glucose (FBG), insulin, total antioxidant capacity (TAC), malondialdehyde (MDA), plasminogen activator inhibitor-1 (PAI-1), and irisin were done. Creatine kinase-MM (CK-MM), interleukin 4 (IL-4), interleukin 6 (IL-6), TAC, MDA, expression of microRNA-29a mRNA & light chain 3 protein were determined in muscle. Histological and NF-κβ immunohistochemical expression in muscle and nerve were assessed.

Results

ARG supplementation to diabetic rats improved altered behavior, significantly increased BW, insulin, TAC, irisin and Il-4, decreased levels of glucose, microRNA-29a, NF-κβ and LC3 expression, PAI-1, CK-MM and restored the normal histological appearance.

Conclusions

ARG supplementation potently alleviated diabetic-induced neuromuscular alterations.

This study evaluated the application of chitosan/polyvinyl alcohol/graphene oxide/nano titanium oxide (CS/PVA/GO/nano TiO₂) hydrogels for bone defect reconstruction in dogs. Dogs were subjected to mid-diaphyseal circular bone defects (0.8 cm²) in the radius bones. Bone defects were implanted with the hydrogel in the treated group (n = 9), while the control group were subjected to spontaneous healing (n = 9). Dogs were subjected to clinical, radiographic, and scanning electron microscopy (SEM) evaluations at 15-, 30-, and 45-days post-surgery. Dogs in the treated group recorded no lameness by the end of the third week post-surgery, while dogs in the untreated group still exhibited lameness of grade 1. There was a significant decrease (p < 0.05) in the cortical defect (mm) of the treated group (5.46 ± 0.17 and 1.45 ± 0.13) compared with the control group (7.57 ± 0.05 and 7.59 ± 0.06) at 30- and 45-days post-surgery, respectively. The depth of the bone defects (mm) decreased significantly (p < 0.05) in the treated group (2.26 ± 0.12 and 0.008 ± 0.002) compared with the untreated group (4.05 ± 0.05 and 2.16 ± 0.07) at 30- and 45-days post-surgery, respectively. Throughout the period of study, there was a significant increase (p < 0.05) in the radiographic density of the bone defects (px) in the treated group (474 ± 17.88) compared with that in the control group (619.6 ± 6.85). SEM results revealed complete closure of the bone defects in the treated group. Thus, implantation of bone defects with the CS/PVA/GO/nano TiO₂ hydrogel represents a promising bone graft substitute for accelerating bone healing.

Abstract
Objective This study’s aim was: (1) introduce the digital drying oven as a reproducible, controllable, and accurate
heating device for burn model creation. (2) Define the heating temperature appropriate for developing consistent
second and third-degree burn injuries in rats.
Results Burns appeared deeper with more distinct borders in groups (B) and (C) than in group (A). The stainless-steel
rod at 100 ºC created burn injuries of the second degree, evidenced by the sloughing of the epidermis and necrosis
in the epithelium and upper part of the dermis. Heating at 150 and 200 ºC created third-degree burn injuries, where
necrosis involved the epidermis and dermis and extended to the subcutaneous fat and muscles. The depth of the
burn wound in the group (B) (371.2 ± 41.3 μm) and (C) (385.2 ± 38.0 μm) was significantly deeper compared with the
group (A) (178 ± 46.6 μm) (P < 0.001). The digital drying oven is a reliable, reproducible, and controllable heating device
for creating burn models. The stainless-steel rod (63 g and 8 mm) heated at 100 and 150 ºC with a contact time of 30 s
is adequate for creating consistent second and third-degree burn injuries in rats, respectively.