Humid Climate Research Articles

Factors Affecting the Indoor Air Quality and Occupants’ Thermal Comfort in Urban Agglomeration Regions in the Hot and Humid Climate of Pakistan

The World Air Quality Index indicates that Pakistan ranks as the third most polluted country, regarding the average (Particulate Matter) PM2.5 concentration, which is 14.2 times higher than the World Health Organization’s annual air quality guideline. It is crucial to implement a program aimed at reducing PM2.5 levels in Pakistan’s urban areas. This review paper highlights the importance of indoor air pollution in urban regions such as Lahore, Faisalabad, Gujranwala, Rawalpindi, and Karachi, while also considering the effects of outdoor air temperature on occupants’ thermal comfort. The study aims to evaluate past methodological approaches to enhance indoor air quality in buildings. The main research question is to address whether there are statistical correlations between the PM2.5 and the operative air temperature and whether other indoor climatic variables have an impact on the thermal comfort assessment in densely built urban agglomeration regions in Pakistan. A systematic review analysis method was employed to investigate the effects of particulate matter (PM2.5), carbon oxides (COx), nitrogen oxides (NOx), sulfur oxides (SOx), and volatile organic compounds (VOCs) on residents’ health. The Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) protocol guided the identification of key terms and the extraction of cited studies. The literature review incorporated a combination of descriptive research methods to inform the research context regarding both ambient and indoor air quality, providing a theoretical and methodological framework for understanding air pollution and its mitigation in various global contexts. The study found a marginally significant relationship between the PM2.5 operative air temperature and occupants’ overall temperature satisfaction, Ordinal Regression (OR) = 0.958 (95%—Confidence Interval (CI) [0.918, 1.000]), p = 0.050, Nagelkerke − Regression (R2) = 0.042. The study contributes to research on the development of an evidence-based thermal comfort assessment benchmark criteria for the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) Global Thermal Comfort Database version 2.1.

Hydrothermal and mechanical performance of mortars containing waste brick powder

It is widely recognised that green building, environmental sustainability, and technical performance have recently become requirements in the field of civil engineering. For this reason, the new trend in research is to focus on the recycling and recovery of materials, even if some of them such as industrial waste are still underexplored. In this perspective, the main objective of this work is to study the influence of brick powder on the thermophysical and mechanical properties of mortars containing this type of waste, in different environments, and within the temperature range between ambient temperature and 50 °C. To this end, a number of mortar mixtures, in which cement was replaced by brick powder in different proportions, were studied and characterised according to technical standards in order to define the optimal substitution percentage. Three batches of samples were examined at different ages, i.e., 3, 7, 28, and 90 days. The samples of the first batch were kept in water at a temperature of 20 ± 2 °C with a relative humidity RH = 100 %, while those of the second batch were immersed and stored in water at 50 °C in order to simulate a hot and humid climate. As for the samples of the third batch, they were kept in a dry oven at 50 °C in order to investigate the effect of the hot and dry climate. The results obtained revealed that the partial replacement of cement by brick powder makes it possible to improve the thermal insulation characteristics but reduce the mechanical strength of the mortar. In addition, it was shown that in a hot and dry environment, the mechanical characteristics of the different mortars decrease as the rate of weight substitution of cement by brick powder rises. However, in a hot and humid environment, a reverse trend is observed. The findings also suggested that the optimal recommended rate of substitution of cement by brick powder is 20 %.

Performance Evaluation of Stress Tolerant Rice Variety Swarna Shreya under Front Line Demonstration in Bolangir District, Odisha

Rice is the major crop of Odisha with a total coverage of 41 lakh ha which is about 65% of the total cultivable area of the state. Area under rice crop in Bolangir district is 218.97 thousand ha. Bolangir District is located under Western Central Table Land Agro climatic Zone characterized by hot and sub humid climate. About 168.91 thousand ha rice is under rainfed condition. Drought is a major abiotic stress that adversely affects the rice growth, mostly in the rainfed ecosystem that ultimately affects the biomass production and yield. Front line demonstrations have been conducted in NICRA adopted village- Odiapali, Block- Bolangir in the Kharif season of the year 2022 and 2023. The percentage increase in yield is 13.63 and 14.61 and net return is Rs 42,200/- and Rs 43,444/- per ha as compared to farmer’s practice variety Swarna’ performance respectively for the year 2022 and 2023.

Transcriptome analysis and genome-wide identification of the dehydration-responsive element binding gene family in jackfruit under cold stress

BackgroundJackfruit (Artocarpus heterophyllus Lam.) is the world’s largest and heaviest fruit and adapts to hot, humid tropical climates. Low-temperature injury in winter is a primary abiotic stress, which affects jackfruit growth and development. Therefore, breeding cold-resistant varieties and identifying the vital genes in the process of cold resistance are essential. The dehydration-responsive element binding (DREB) gene family is among the subfamily of the APETALA2/ethylene response factor transcription factor family and is significant in plant abiotic stress responses.MethodsIn this study, a comparative analysis of the cold resistance property of ‘GuangXi’ (‘GX’) and ‘Thailand’ (‘THA’) jackfruit strains with different cold resistance characteristics was performed through chlorophyll fluorescence and transcriptome sequencing.ResultsWe found that differentially expressed genes (DEGs) are significantly enriched in the metabolic processes. Here, 93 DREB genes were identified in the jackfruit genome, and phylogenetic analysis was used to classify them into seven groups. Gene structure, conserved motifs, chromosomal location, and homologous relationships were used to analyze the structural characteristics of the DREB family. Transcriptomics indicated that most of the AhDREB genes exhibited down-regulated expression in ‘THA.’ The DEGs AhDREB12, AhDREB21, AhDREB29, and AhDREB34 were selected for quantitative real-time PCR, and the results showed that these genes also had down-regulated expression in ‘THA.’ConclusionsThe above results suggest the significance of the DREB family in improving the cold resistance property of ‘GX.’

Molecular identification of Malassezia from the skin scrapings of clinically suspected cases of pityriasis versicolor.

Pityriasis versicolor (PV) is caused by a lipophilic fungus belonging to the genus Malassezia. Potassium hydroxide (KOH) mount is most frequently used for screening of cases and culture is the gold standard. KOH lacks sensitivity, and culture is time-consuming and technically demanding. A cross-sectional study was conducted at a tertiary care teaching institution. We aimed to use multiplex-PCR for faster and accurate identification of Malassezia spp directly from skin scrapings of suspected cases of PV. The study was conducted on suspected cases of PV over a period of 12 months. The clinical and demographic details were recorded. The skin scrapings were subjected to KOH mount and cultured on Sabouraud's dextrose agar with an olive oil overlay. Multiplex-PCR targeting 11 Malassezia spp was performed on DNA extracted from skin scrapings. A total of 69 suspected cases of PV were studied. Most patients belonged to metro cities and worked in hot and humid climates. The mean duration of lesions was 18 months, and most had macular and patchy lesions. The sensitivity of KOH and culture was found to be 82.6% and 91.3%, respectively. M. globosa (n = 60, 87%) and M. restricta (n = 3, 4.3%) were isolated in culture. Multiplex PCR detected 85.5% of M. globosa, 5.8% of M. restricta, and 8.7% of mixed infection with M. globosa and M. restricta. M-PCR detected Malassezia in all the samples. M-PCR could identify Malassezia species directly from skin specimens, eliminating the need for culture. M-PCR was accurate, dependable, and exhibited a rapid turnaround time.

Integrating aboveground and underground environments to enhance underground natural ventilation in the tropics: Case studies in Singapore

Ventilation is the primary solution for addressing elevated temperatures, humidity, and pollution with underground environments. Underground natural ventilation stands as a historical and promising strategy to reduce energy consumption and diminish reliance on mechanical ventilation. This study integrates aboveground and underground environments to enhance underground natural ventilation in the tropics. Initially, the study employed field measurements and computational fluid dynamics simulations to compare the natural wind environments and architectural designs of enclosed and detached condominiums in Singapore. The results demonstrate a strong correlation between the aboveground and underground wind environments in the enclosed condominium, revealing distinctive airflow patterns conducive to ample ventilation. Conversely, the basement of the detached condominium lacked natural ventilation and had tenuous connections to aboveground wind environments despite incorporating numerous skylights and side windows. Subsequently, the study proposes optimising architectural designs for row buildings through cross ventilation, sunshade, and greenery inspired by the architectural design of the enclosed condominium. Moreover, this study suggests some design strategies applicable to the tropics in hot and humid climates. These findings help architects and engineers create sustainable, natural, airy underground spaces.

Mowing Height and Fertility Regime Effects on Tall Fescue Turf in the Pacific Northwest

The western portion of the Pacific Northwest is known for being dry in the summer and cool and humid in the other months. Tall fescue is valued for its drought and heat tolerance, making it a desirable choice in regions where water is scarce and often restricted by legislation during periods of drought in the summer. However, cool and humid climates make it challenging to manage tall fescue in the winter because unacceptable quality is often observed due to low-temperature diseases and thinning in turf. A field trial was initiated in Autumn 2020 in Corvallis, OR, USA to assess the effects of mowing height as well as fertility timing and rate on tall fescue performance. Two mowing heights of 5.1 and 7.6 cm, four seasonal fertility timings, and three levels of annual N rates of 98, 196, and 294 kg·ha−1·yr−1 were evaluated using a 2 × 4 × 3 factorial experiment in a strip-plot design. Quantitative data of percent green cover and normalized difference vegetation index (NDVI) suggest that autumn fertilization is needed in cool, humid areas where tall fescue is actively growing in the winter months. The annual fertilization rate of 294 kg·ha−1·yr−1 N produced higher green turf cover and NDVI, compared with 98 or 196 kg·ha−1·yr−1 N. Furthermore, divergent effects of mowing heights were observed during winter compared with other months, suggesting that tall fescue could be mowed lower at 5.1 cm during cool, humid winter months and higher at 7.6 cm in other seasons for better overall turfgrass growth and less winter disease and thinning. Our research provides practical cultural practices for managing tall fescue turf in the Pacific Northwest or similar climates.

Biomarkers Indicate Pliocene Uplift of the Maxian Mountains, Northeastern Tibetan Plateau

AbstractKnowledge of Late Miocene‐Early Pliocene environmental change is critical for understanding the interactions among global cooling, regional tectonic activity and Asian climatic evolution. However, their relationships remain unclear, partly due to the scarcity of quantitative reconstructions of temperature and hydroclimatic conditions, which limits our understanding of the effect of topography on montane climatic evolution. Here, we quantitatively reconstructed the Late Miocene‐Early Pliocene temperature, hydroclimate, and pH of the Xiaoshuizi peneplain, northeastern Tibetan Plateau (NETP), based on glycerol dialkyl glycerol tetraethers. Our results indicate that the Xiaoshuizi temperature was relatively high with large fluctuations during 6.2–4.6 Ma. The temperature then gradually decreased until 4.0 Ma, when this trend was interrupted by an intensive warming event. Additionally, the combined Ri/b and pH proxies revealed that the Xiaoshuizi region experienced a hydroclimatic transition from relatively wet to dry conditions after 4.0 Ma. Our integrated results show that the Xiaoshuizi climate became warm and dry during 4.0–3.6 Ma, in contrast to the global cooling trend and the occurrence of a humid climate on the eastern Chinese Loess Plateau and the North China Plain. We ascribe this anomalous change to a warm and dry climate during 4.0–3.6 Ma to a topographic Foehn effect triggered by surface uplift of the Maxian Mountains associated with extensive tectonic uplift of the NETP during the Middle Pliocene.

Role of Urban Trees in Enhancing the Thermal Comfort of Rapidly Urbanizing Cities: An Analysis of Tropical Asian Tree Species Based on Physiological Equivalent Temperature (PET)

AbstractBackgroundThermal comfort significantly influences well-being, productivity, and living conditions in outdoor environments, particularly in rapidly urbanizing, warm, humid tropical climates. This study assessed the influence of 5 five common urban tree species (Cassia fistula,Tectona grandis,Plumeria obtusa,Mangifera indica, andTerminalia catappa) on outdoor thermal comfort, using the physiological equivalent temperature (PET) index in Colombo, Sri Lanka, as a case study for a tropical humid city.MethodsField data collection encompassed measuring air and surface temperature, relative humidity, wind velocity, solar radiation, cloud cover, and sky view factor under tree canopies and adjacent exposed areas. The RayMan model was employed to estimate PET in both areas.ResultsOur findings indicated that PET was consistently higher in exposed areas compared to under the tree canopy, with an average difference of 5.61 °C. Among tree parameters, sky view factor (SVF) demonstrated the most significant correlation with thermal comfort, followed by crown diameter and tree height. Furthermore, notable variations in thermal comfort were observed among tree species, withTerminalia catappaoutperformingPlumeria obtusa, particularly on sunny days.ConclusionRegression analysis highlighted the importance of integrating trees with large crowns and low SVF to create thermally comfortable outdoor spaces. Consequently,Terminalia catappaemerged as the most suitable tree species for enhancing thermal comfort in Colombo’s outdoor urban areas out of the 5 selected species. These insights will aid in selecting appropriate tree species and parameters, fostering improved outdoor thermal comfort in tropical humid cities, and facilitating sustainable urban planning and design strategies.

The adaptation of dryland crops to the climate in southern China

It is unclear how dryland crops adapted to the humid climate of southern China, nevertheless they were an important component of prehistoric agricultural systems in the region. In this study, archaeobotanical results assembled from 110 archaeological sites in southern China, Digital Elevation Model (DEM)-based slope results of these archaeological sites, regional meteorological data and paleoclimate records were used to analyse the main factors affecting the distribution of prehistoric dryland agriculture, to help understand the adaptation of this agriculture to southern China and assess the role of climate change in the expansion of dryland crops in the region. The results highlighted the importance of effective water input and temperature. Farmers in prehistoric times adopted diverse strategies to plant dryland crops in southern China. The main proportion of the dryland crops centred on the use of foxtail millet (over 75% of the total dryland crops) and it was adjusted to adapt to the variations in effective water inputs resulting from precipitation and topography in the low-elevation area. Approximately 3° might be the slope threshold for agricultural transformation in the low-elevation humid areas of southern China. The millets-dominated (61.7%) or rice-dominated (85.3%) agricultural systems in dry-hot valleys, and wheat-dominated (51.8%) agriculture in the west Yunnan-Guizhou Plateau were developed to adapt to the arid climate and the low summer temperature, respectively. The weakening of the Asian monsoon since 5000 BC had objectively favoured the expansion of dryland agriculture in the low-slope areas of southern China, but the role of climate change should not be overestimated in the expansion of dryland crops.

On the Necessity for Improving Water Efficiency in Commercial Buildings: A Green Design Approach in Hot Humid Climates

Water, a fundamental and indispensable resource necessary for the survival of living beings, has become a pressing issue in numerous regions worldwide due to scarcity. Urban areas, where the majority of the global population resides, witness a substantial consumption of blue water, particularly in commercial buildings. This study investigates the potential for enhancing water efficiency within an ongoing high-rise office building construction situated in a tropical climate. The investigation utilizes the green building guidelines of leadership in energy and environmental design (LEED) through a case-study-based research approach. Strategies included using efficient plumbing fixtures (such as high air–water ratio fixtures and dual-flush toilets), the selection of native plants, implementing a suitable irrigation system, introducing a rainwater harvesting system (RWHS) and improving the mechanical ventilation and air conditioning (MVAC) system. The results showed a 55% reduction in water use from efficient fixtures, a 93% reduction in landscaping water needs and a 73% overall water efficiency with a RWHS from the baseline design. Additionally, efficient cooling towers and the redirection of condensed water into the cooling tower make-up water tank improved the overall water efficiency to 38%, accounting for the water requirements of the MVAC system. The findings of this study can contribute to more sustainable and water-efficient urban development, particularly in regions facing water scarcity challenges. The significance of these findings lies in their potential to establish industry standards and inform policymakers in the building sector. They offer valuable insights for implementing effective strategies aimed at reducing blue water consumption across different building types.

Assessing the severity of thermal discomfort in a building in the course of hot and humid climate

This work is an application of experimental temperature data previously collected in a residential building in Douala, Cameroon, in order to analyze thermal discomfort. The data was collected according to three occupancy scenarios over 12 month period using thermohygrometer sensors. The temperature data are analysed in comparison with the comfortable temperature range from 24°C to 28°C. The degree hour (DH) method was used to assess the severity of thermal discomfort in a hot and humid climate. The results reveal that the open C1, closed C2 and inhabited C3 rooms corresponding to scenarios C1, C2 and C3 respectively, have 7270.6°H, 9063.9°H and 10023°H. The inhabited room C3 has the largest DH and although the room C1 has the smallest DH, the latter largely exceeded the tolerable limit value of 1250°H set by the RE2020 Environmental Regulations. Results from this work can serve in building modelling for researchers and architects to act for the alleviation of thermal discomfort in regions with hot and humid climate.

Genome-Wide Analysis of Genetic Diversity and Selection Signatures in Zaobei Beef Cattle.

This investigation provides a comprehensive analysis of genomic diversity and selection signatures in Zaobei beef cattle, an indigenous breed known for its adaptation to hot and humid climates and superior meat quality. Whole-genome resequencing was conducted on 23 Zaobei cattle, compared with 46 Simmental cattle to highlight genetic distinctions. Population structure analysis confirmed the genetic uniqueness of Zaobei cattle. Using methods such as DASDC v1.01, XPEHH, and θπ ratio, we identified 230, 232, and 221 genes through DASDC, including hard sweeps, soft sweeps, and linkage sweeps, respectively. Coincidentally, 109 genes were identified when using XPEHH and θπ ratio methods. Together, these analyses revealed eight positive selection genes (ARHGAP15, ZNF618, USH2A, PDZRN4, SPATA6, ROR2, KCNIP3, and VWA3B), which are linked to critical traits such as heat stress adaptation, fertility, and meat quality. Moreover, functional enrichment analyses showed pathways related to autophagy, immune response, energy metabolism, and muscle development. The comprehensive genomic insights gained from this study provide valuable knowledge for breeding programs aimed at enhancing the beneficial traits in Zaobei cattle.

The Clinical Features of Vernal Conjunctivitis in Cicendo National Eye Hospital

Introduction: Vernal conjunctivitis is a chronic, recurrent form of allergic conjunctivitis that occurs mainly in children and is commonly found in warm and humid climates or tropical countries, including Indonesia. Although vernal conjunctivitis is a self-limiting disease, it often leads to visual impairment and significantly affects the patient's quality of life. Methods: This retrospective descriptive study was conducted in Cicendo National Eye Hospital from March to April 2023 using the total sampling method to obtain the clinical features of vernal conjunctivitis patients. Result: This study took 117 patients (234 eyes) registered in electronic medical records from January to December 2022 with an age range of 7-18 years. The mean age of the patients was 10.73 ± 3.02 years, with total of 78 patients (66.67%) being male. A total of 30 patients (25.64%) had a history of atopic allergies. All patients in this study had a bilateral condition. The palpebral type was diagnosed in 85 patients (72.64%). Red eyes were the most prominent symptom experienced in 89 eyes (76.06%). Papillary signs were seen in 203 eyes (86.75%), with an uncorrected visual acuity of 6/6 to 6/18 were found in 163 eyes (69.66%). A small proportion of patients experienced complications in 93 eyes (39.74%). Conclusion: The clinical features of vernal conjunctivitis patients in Cicendo National Eye Hospital are similar to those in other tropical countries. Most patients were male and complained of itching and red eyes. The palpebral type is the most common type. Few distinct features were noted indicating a low association with atopy.

Corrigendum: An experimental analysis and deep learning model to assess the cooling performance of green walls in humid climates

Corrigendum: An experimental analysis and deep learning model to assess the cooling performance of green walls in humid climates

Evaluation of soil quality of cultivated lands with classification and regression-based machine learning algorithms optimization under humid environmental condition

In soil science, machine learning algorithms are preferred for pedotransfer functions due to their rapid data acquisition and high prediction accuracy. The current study aims to evaluate the prediction of soil quality in agricultural lands dominated by the humid Black Sea climate using various algorithms. Both classification and regression-based algorithms (Random Forest-RF, Light Gradient Boosting-LGB, Extreme Gradient Boosting-XGBoost, k-nearest neighbors-kNN, Logistic Regression, multilayer perceptron-MLP, Linear Regression-LR and Bayesian Ridge- BR) were used in the method. The comparison of soil maps is also included. Furthermore, the present study evaluates the Grid Search optimization method with K-Fold Cross Validation (K = 5) for both classification and regression-based algorithms. The prediction of soil quality was performed using class-based and regression-based algorithms. As a result of the study, the RF and XGBoost algorithms achieved an approximate accuracy rate of 92 % in the class-based prediction. In regression-based predictions, the most successful algorithms were BR and LR, with an R2 Score of 0.84. The Grid Search optimization method was used to improve the R2 Score, resulting in an increase to 0.90 and 0.88 for BR and LR, respectively. The optimized hyperparameters showed improved performance in predicting the soil quality index. The present study found that Gaussian and Spherical models had the lowest prediction errors in spatial distribution maps. Tree-based algorithms were found to be suitable for class-based prediction of soil quality, while the linear regression method was appropriate for regression predictions. This study is characterized by a rainy climate resulting in acidic soils with high organic matter content. Planning of new studies in different climates and soil properties is recommended.

Coding and description of phenological stages of blue honeysuckle (Lonicera caerulea L.) according to the BBCH scale

Blue honeysuckle (Lonicera caerulea L.) is an emerging fruit crop from the temperate to circumpolar climate regions with outstanding agronomic traits, substantial nutritional value, and versatile processing applications. However, the limited understanding of its phenology poses substantial challenges to its cultivation, breeding, and research. In this study, we characterized the progressive phenological growth stages of blue honeysuckle according to the BBCH (Biologische Bundesanstalt, Bundessortenamt und Chemische Industrie) scale by investigating three major cultivars (L. caerulea) and a wild accession (L. caerulea var. edulis) in Harbin, China (hot-summer humid continental climate) during 2022–2023. The annual growth of blue honeysuckle was characterized by eight primary stages, including bud development (0), leaf development (1), shoot development (3), inflorescence emergence (5), flowering (6), fruit development (7), fruit ripening (8), and senescence and dormancy (9). Additionally, 35 secondary growth stages were documented, among which eight stages are related to fruit development and ripening. The annual growth period of blue honeysuckle spans 6.5–7 months, starting from late March and ending in early October. The flowering season lasts for 2–3 weeks, ranging from late April to mid-May. The fruit development and ripening last for 7–9 weeks, beginning in early May and ending in early July. This study provides valuable insights for the cultivation and research of blue honeysuckle.

Reducing nitrogen fertilizer applications mitigates N2O emissions and maintains sugarcane yields in South China

Fertilizer N application combined with crop residue retention and a warm and humid climate increases nitrous oxide (N2O) emissions from sugarcane systems. However, the effects of high fertilizer N application rates on N2O emissions from sugarcane fields in China and the N2O reduction potential are still unclear. This study measured N2O emissions, the δ15N values for N2O and soil mineral N (NH4+ and NO3–), and yields during three continuous growing seasons in a sugarcane field in subtropical South China when four fertilizer N application rates: 0 (N0), 300 (N300), 400 (N400), and the local conventional rate of 500 kg N ha–1 (N500), were applied. The results showed that N2O emissions peaked in the first 4 weeks after fertilizer N application and the peak amplitude was highest after applying the N500 rate. The greatest soil N2O fluxes occurred when soil NH4+ and NO3– contents were high, the soil pore spaces contained large amounts of water (around 60 %), and there was a high soil surface temperature (around 35°C). The cumulative N2O emissions over the whole season (1.3–64.8 kg N ha–1) and emission factor values (2.6–11.1 %) both strongly increased with fertilizer N rate. The δ15N values for N2O and soil NH4+ and NO3– indicated that N2O production after N fertilization was dominated by denitrification and the microbial types varied with time and N fertilization rate. The principal component analysis showed that the factors associated with denitrification and nitrification explained 53.53 % and 30.53 % of the variation in N2O fluxes, respectively. Sugarcane yields, N uptake, and sugar contents were not affected by the reduced fertilizer N rates (N400 and N300) compared to that of N500. A reasonable N fertilizer rate of around 340 kg N ha–1 could reduce N2O emissions by more than 65 % compared to the conventional N500 rates while maintaining sugarcane yields. This study quantified the N2O emissions induced by different fertilizer N rates in a sugarcane system in China and highlighted the considerable potential for reducing N2O emissions through optimization of the fertilizer N application rate.

Experimental and numerical study on the integration of solar-driven desiccant and thermoelectric Systems for Sustainable Thermal Comfort

Global reliance on traditional cooling systems is a pressing concern, especially given their substantial energy demands and refrigerant-related greenhouse gas emissions. The need for sustainable cooling solutions is especially urgent in hot and humid regions. This study presents an innovative solution by introducing a compact, solar-driven cooling system that integrates a Desiccant Wheel (DW) and a Thermoelectric Cooler (TEC). This novel combination leverages solar energy to enhance cooling efficiency while reducing environmental impact. The system's performance was tested through experimental methods and non-dimensional analysis, which served to validate the TRNSYS simulation. The simulation included custom components representing the DW and TEC's physical characteristics. Results demonstrated that the system effectively reduces air temperature and humidity to maintain thermal comfort, achieving Coefficients of Performance (COP) of 0.94 and 1.13in Toronto and Vancouver, respectively. A key feature of the system is the heat recovery design, which uses waste heat from the TEC to regenerate the desiccant material, enhancing COP by 68%. Further analysis through TRNSYS simulation explored the system's adaptability to various climate conditions by testing a range of temperatures (26–43°C) and relative humidity levels (30–100%). This analysis identified three operational regions, optimizing the system's application based on environmental conditions. A life cycle assessment determined a Global Warming Potential (GWP) of 0.0172 kg CO2 per kW of cooling capacity and an Energy Payback Time (EPBT) of 3.34 years. The economic analysis indicated a total system cost of $2719, predominantly due to the DW and TEC components. In conclusion, this research offers a sustainable and efficient cooling system that provides thermal comfort in hot and humid climates, marking a significant advancement in climate control technology.

Recombinant outer membrane protein Lipl41 from Leptospira interrogans robust immune responses in mice model.

Leptospirosis is an infectious zoonotic disease that can result in severe complications. It is widespread, especially in hot and humid climates such as the northern region of Iran. The immune responses to leptospirosis are multifaceted. Lipl41 is an outer membrane protein that is expressed during infection and is highly conserved among pathogenic species. This makes it a good candidate for diagnosis and induction of specific immune responses. The aim of the present study was to evaluate immune responses against recombinant Lipl41 in mice. After immunizing of different groups of mice with recombinant Lipl41 (rLipl41), the levels of specific antibodies and cytokine profiles interferon-gamma/interleukin-4 (IFN-γ/IL-4) were measured. The results revealed that rLipl41 showed a significant increase in antibody levels compared with the control groups (P< 0.05). Although the level of IL-4 in the groups that received Lipl41 was similar to that in the other control groups, the IFN-γ levels showed a significant increase (P<0.05). It has been concluded that recombinant Lipl41 protein could strongly stimulate specific immune responses and be considered a potential candidate for vaccine development and diagnostic research.