Bovine ephemeral fever (BEF) is a dangerous febrile viral disease that affects cattle and causes large financial losses. The aims of this study were to study clinical findings of BEF virus (BEFV) infection, identify certain risk factors and evaluate infected cattle’s mineral changes. One hundred and seven cattle were used in this investigation. Whole blood and serum samples were collected for laboratory analysis. Reverse transcriptase polymerase chain reaction (RT-PCR) had been employed for BEFV diagnosis. The observed clinical findings of BEFV infection in cattle were fever, respiratory manifestation (serous nasal discharge & cough), lacrimation, lameness, enlarged of superficial lymph nodes, drop of milk production, ruminal stasis, and recumbency. Of the studied diseased cattle, 43 (43%) of 100 whole blood samples showed molecularly positive results for G1 gene. The infection rate of BEFV had no significant variation by locality, age, sex, breed and season in the studied diseased cattle. Serum calcium level of confirmed BEFV positive samples was significantly lower (p<0.001) than serum calcium level in clinically healthy ones. Serum phosphorus and magnesium levels in BEFV infected cattle did not differ significantly (P<0.05) from that of clinically healthy ones. The importance of establishing efficient prevention and control strategies in Egypt must be emphasized in order to reduce the prevalence of BEFV infection in cattle.

Cisplatin is among the most frequently utilized drugs for addressing malignant tumors, yet it can lead to organ harm, especially hepatotoxicity and nephrotoxicity. Furthermore, the anticoagulant rivaroxaban could poten­ tially cause injury to the liver and kidneys. This research aimed to examine the protective benefits of nebivolol, known for its pleiotropic and tissue-protective characteristics, against the harmful effects of rivaroxaban and cisplatin on the liver and kidneys. Male rats received cisplatin and/or rivaroxaban, and we evaluated hepato­ toxicity and nephrotoxicity by measuring serum concentrations of AST, ALT, LDH, albumin, bilirubin, creatinine, and blood urea. We also measured MDA, GSH, GPx, NO, TNF-α, and IL-6 in kidney and liver homogenates. Histopathological analysis was performed on liver and kidney tissue sections, and immunohistochemical detection of caspase 3 in liver tissue and NF-κB in kidney tissue was conducted. Our findings demonstrated that nebivolol supported the preservation of the liver and kidney structure and function by reducing the biochemical and pathological alterations caused by cisplatin and rivaroxaban. Nebivolol decreased the elevations in MDA, TNF-α, and IL-6 levels while maintaining GSH, GPx, and NO levels in liver and kidney tissues. Moreover, nebivolol lowered the levels of caspase-3 in the liver and NF-κB in the kidneys. In conclusion, our study indicates that nebivolol protects the liver and kidneys from the detrimental effects of cisplatin and rivaroxaban. 
 

Fibromyalgia syndrome (FMS) is a chronic, multidimensional musculoskeletal condition distinguished by severe nociceptive dysfunction, persistent fatigue, sleep disruptions, cognitive deficits, and emotional instability. Although valproic acid (VPA) has been used to treat epilepsy and bipolar disorder, its efficacy in altering neuropathic pain pathways remains unclear. In this investigation, we assessed the neuromodulatory characteristics of VPA (300 mg/kg, intraperitoneally) in an established FMS rat model, with a focus on neuroinflammation, oxidative stress, and glial activation. Behavioral evaluations for thermal hyperalgesia (paw withdrawal latency, PWL) and mechanical allodynia (paw withdrawal threshold, PWT) were performed at baseline (day 0), after induction (day 5), and at various intervals following VPA administration. Neurochemical evaluations demonstrated that VPA markedly diminished FMS-induced elevations in malondialdehyde (MDA), nitric oxide (NO), and pro-inflammatory cytokines such as tumour necrosis factor-α (TNF-α), interleukin (IL)-1β, and interleukin (IL)-6, while restoring antioxidant defences, such as glutathione (GSH) and superoxide dismutase (SOD). Histopathological examination demonstrated reduced neuronal degeneration and decreased immunoreactivity of glial fibrillary acidic protein (GFAP). These findings indicate that VPA reduces FMS-related pain and neuroinflammatory characteristics through antioxidative and glial-modulating mechanisms, indicating its potential for therapeutic repurposing in neuropathic pain syndromes 
 

Stainless steel tubes and pipes are vital in dairy processing but require frequent cleaning, leading to notable energy consumption and environmental impact. This study delves into the cleanability of wet milk deposits at temperatures of 40°C and 60°C on an exceptionally smooth internal surface achieved through magnetic abrasive finishing (MAF) with a surface roughness of 0.01 μm R_a. We compare this surface with non-MAF tubes having surface roughness values of 0.37 and 3.7 μm R_a. To assess cleaning effectiveness, the study measured milk and protein residue removal after deposition and cleaning processes, employing a cleaning solution flow pattern at Reynolds numbers (Re) of 659–1318. Results indicate that smoother surfaces, particularly those with roughness values of 0.01 and 0.37 μm R_a, significantly enhance cleanability at 40°C. This leads to reductions (p < 0.05) of 34.5% and 22.6% for milk deposits and 27.9% and 22.7% for protein deposits, respectively, compared to tube surfaces with a roughness level of 3.7 μm R_a. These findings underscore the potential of highly smooth surfaces to improve cleanability below protein denaturation temperatures. Furthermore, the MAF tube with a roughness of 0.01 μm R_a exhibited nonsignificant reductions of 15.4% and 6.7% compared to the 0.37 μm R_a surface. The smoothing effect on the cleanability of milk and protein deposits was enhanced compared with the higher temperature condition. By addressing the challenges of routine cleaning, the study highlights MAF as a technology that optimizes surface quality in dairy processing equipment, addressing environmental and energy-related concerns.

Anaerobic digestion (AD) is a promising technology for converting organic waste into renewable energy, but its industrial implementation is often constrained by ammonia inhibition in nitrogen-rich feedstocks, which undermines both process stability and economic viability. Addressing this challenge is crucial for ensuring sustainable, financially resilient waste-to-energy systems. We hypothesized that the strategic addition of bamboo biochar (BBC) could mitigate ammonia stress while promoting a more robust microbial community, thereby enhancing both environmental and economic performance. To test this, batch experiments were conducted to determine optimum BBC dosages, followed by semi-continuous trials using 6.25 g/L BBC over four operational phases (Runs1–4), during which NH₄⁺-N was gradually increased from 2000 to 5000 mg/L. The biochar-amended system maintained stable performance under conditions that caused control reactors to fail, with a maximum 1447 % increase in methane production observed during the 4000 mg/L NH₄⁺-N phase. Mechanistic analysis revealed that BBC acted primarily by enriching syntrophic bacteria and hydrogenotrophic methanogens, enabling a stable syntrophic acetate oxidation pathway. Enhancing microbial resilience through biochar addition directly improves financial stability, a critical factor for industrial adoption. The biochar-added system achieved consistent profits of USD 8.08–16.27/m³ reactor/month, underscoring strong business potential in scalable waste-to-energy systems. Optimizing biochar dosing and evaluating full-scale implementation could further advance globally relevant, economically viable circular bioeconomy solutions.

This study explores the interactions between microbial communities, antibiotic resistance, and biogas production in anaerobic digestion systems, focusing on the acidogenic (AP) and methanogenic (MP) phases under varying organic loads, cefazolin (CEZ) exposure, and biochar supplementation. High organic loading (10 g/L glucose) significantly suppressed CEZ-resistant bacteria (CEZ-r) during the AP phase. However, their abundance markedly rebounded in MP, rising from 0.30 % to 36.28 % in control, indicating phase-specific dynamics. CEZ residues increased CEZ-r by 2.49 % and 9.30 % at 0 and 5 g/L glucose during AP. Although AP suppressed CEZ-r to 0.23 % in the CEZ-added reactor at 10 g/L glucose, MP rebounded CEZ-r to 8.30 %. In addition, CEZ exposure reduced methane yields by up to 28.14 %, likely due to the suppression of Methanosaetaceae and impaired acetic acid conversion. In contrast, biochar addition effectively reduced CEZ-r abundance to below 1.00 % at moderate to high organic loads and alleviated CEZ-induced inhibition on methane production. Biochar also enhanced Methanosaetaceae abundance (up to +6.55 %) compared to the control and promoted more efficient substrate utilization, possibly by facilitating direct interspecies electron transfer. These findings emphasize the role of organic load and digestion phase in shaping antibiotic resistance and system performance. Furthermore, biochar addition effectively mitigates the negative impacts of antibiotic residues, stabilizes microbial communities, and enhances biogas production.

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.