Environmental Climate Research Articles

Progress in epidemiological characteristics and surveillance and early warning of dengue fever in China

Dengue fever is an acute mosquito-borne infectious disease caused by dengue virus and widely spread worldwide. Many factors, such as pathogens, vector organisms, climate, and social environment, affect its transmission and prevalence. The local dengue fever epidemic caused by imported cases in China shows a trend of increasing epidemic latitude and more widespread epidemic areas. However, the traditional monitoring and early warning models of dengue fever mainly focus on researching a single factor and a single area. Establishing a multi-factor forecast and early warning system is urgent to strengthen the early warning capability for the dengue fever epidemic. This paper mainly discusses the epidemic characteristics, the influencing factors, and the surveillance and early warning models of dengue fever in China to provide a reference for the effective prevention and control of dengue fever in China.

A hybrid LBP-CNN with YOLO-v5-based fire and smoke detection model in various environmental conditions for environmental sustainability in smart city.

Smart, secure, and environmentally friendly smart cities are all the rage in urban planning. Several technologies, including the Internet of Things (IoT) and edge computing, are used to develop smart cities. Early and accurate fire detection in a Smart city is always desirable and motivates the research community to create a more efficient model. Deep learning models are widely used for fire detection in existing research, but they encounter several issues in typical climate environments, such as foggy and normal. The proposed model lends itself to IoT applications for authentic fire surveillance because of its minimal configuration load. A hybrid Local Binary Pattern Convolutional Neural Network (LBP-CNN) and YOLO-V5 model-based fire detection model for smart cities in the foggy scenario is presented in this research. Additionally, we recommend a two-part technique for extracting features to be applied to YOLO throughout this article. Using a transfer learning technique, the first portion of the proposed approach for extracting features retrieves standard features. The section part is for retrieval of additional valuable information related to the current activity using the LBP (Local Binary Pattern) protective layer and classifications layers. This research utilizes an online Kaggle fire and smoke dataset with 13950 normal and foggy images. The proposed hybrid model is premised on a two-cascaded YOLO model. In the initial cascade, smoke and fire are detected in the normal surrounding region, and the second cascade fire is detected with density in a foggy environment. In experimental analysis, the proposed model achieved a fire and smoke detection precision rate of 96.25% for a normal setting, 93.2% for a foggy environment, and a combined detection average precision rate of 94.59%. The proposed hybrid system outperformed existing models in terms of better precision and density detection for fire and smoke.

Ni(Co) Laterite Deposits of Southeast Asia: A Review and Perspective

Southeast Asia has great potential for mineral exploration, and this region is well-known to host huge economic ore deposits located in complex tectonic terranes. Amongst these ore deposits, the Ni(Co) laterite deposits are mainly distributed in Indonesia, the Philippines, and Myanmar. There are two main types of Ni(Co) laterite deposits consisting of hydrous Mg silicate (or garnierite) and oxide ores, with limited development of clay silicate type. These deposits are influenced and controlled by the lithology of ultramafic bedrock, topography, climate, weathering, structures, and tectonic environment. The degree of bedrock serpentinization has an important influence on the grade of Ni laterite ore. Given the growing demand of modern society for Ni(Co) ore resources, deep research should be focused on a better understanding of the genesis of this laterite deposit and geological features of Ni(Co) ore, as well as its exploration applications in southeastern Asia. Improving current research and exploration methods by means of cutting-edge technologies can enhance the understanding of the Ni(Co) enrichment mechanism in weathered laterite and lead to the discovery of new deposits in Southeast Asia. Ni(Co) laterite deposits from this region, especially Indonesia and the Philippines, have the potential to be a source of scandium, rare earth elements, and platinum group elements.

Spatiotemporal variability in the diffuse attenuation coefficient of sea ice.

The diffuse attenuation coefficient (Kd) is known to be closely related to the light transmittance of sea ice, which plays a critical role in the energy balance and biological processes of the upper ocean. However, the commercial instruments cannot easily measure Kd in sea ice because sea ice is a solid. The authors of this study are developing an instrument with a high spectral solution to measure the irradiance profile of sea ice and the irradiance in the atmosphere. Three Kd experiments were carried out, including two in-situ experiments in the Liaodong Bay and one in the laboratory. The results showed that the Kd of the sea ice varied with depth, and the values in adjacent sea ice layers differed by up to 2 times. In addition, due to changes in the climate environment, the Kd of sea ice showed temporal variations. For example, there was a 1.38-fold difference in the Kd values of the surface layer of sea ice at different times in 2022. The values in different sea ice layers also showed different trends over time, and the coefficient of determination (R2) of Kd between adjacent layers over time was as low as 0.008. To explain the driving mechanism of spatio-temporal variability of Kd, an additional experiment focusing on the physical microstructure of sea ice was conducted in Liaodong Bay in 2022. The result shows that the change in air bubbles in the sea ice may be the main the reason for the change in Kd. For example, when the sea ice was exchanging brine and bubbles with the atmosphere above and the seawater below, the highly absorbent particles in it tend to remain in their original position. Considering that the total absorption coefficient changed slightly, the bubbles with the characteristic of intense scattering were found to be the main factor influencing the Kd changes. This conclusion is supported by the fact that the value of R2 between the bubbles and Kd was 0.52. If climatic changes have led to an increase in the volume of bubbles, the more bubbles will increase the scattering properties of sea ice and lead to an increase in Kd. Conversely, the reduced bubble volume would reduce the scattering properties of sea ice, which in turn would reduce Kd.

A comprehensive method for quality evaluation of Tibetan medicine Synotis solidaginea by integrating UHPLC-Q-Orbitrap MS chemical profiling and UHPLC-DAD multi-components quantification

Synotis solidaginea Hand.-Mazz. (SSD) is a commonly used Tibetan medicinal herb with a long history of therapeutic use and has good medicinal value and development and utilization prospects. This study aimed to establish and validate a comprehensive strategy integrating UHPLC-Q Exactive Orbitrap HRMS chemical profiling and UHPLC-DAD multi-components quantification for the holistic quality evaluation of SSD. Using UHPLC-Q Exactive Orbitrap HRMS, a total of 58 components in SSD including flavonoids, organic acids, terpenoids, coumarin, and alkaloids were identified or tentatively characterized by authentic reference standards and accurate masses and characteristic fragment ions. The proportion of flavonoids and organic acids were the most in SSD. Subsequently, 7 characteristic components in SSD were quantified by a newly established UHPLC-DAD method that was validated in terms of linearity and ranges, LOD and LOQ, precision, repeatability, stability, and accuracy. Finally, the method was successfully used for the quality evaluation of 8 batches of SSD collected from 5 production areas in China. ANOVA and post hoc Tukey test are used to evaluate the differences in component content in SSD from different production areas. There are significant differences in the content of SSD from different regions (P < 0.05), which may be related to the climate, altitude, and other natural environments of the regions. This work laid a valuable foundation for further development and comprehensive quality control of SSD.

Enhancing the component intra- and interrelationship of Elymus nutans mono- and mixed sowing communities via adjusting sowing patterns in the Qinghai Tibetan Plateau

Spatial arrangement is a key factor in maintaining community yield and stability via regulating component intra-/interspecific competition in an alpine climate environment. A 2-yr field trial was conducted on the Qinghai Tibetan Plateau, including cross row (S_C), double row (S_D), single row (S_R), broadcast (M_B), dependent row (M_D) and independent row (M_I). Our results showed that S_C could avoid intraspecific competition by reasonable spatial arrangement, which favored the dominant component growth (1st year: leaf; 2nd year: stem and reproductive organ). For mixed communities, RII (relative interaction intensity) implied that interspecific competition also embodied on dominant component, and higher Elymus nutans component advantages seriously limited Onobrychis viciifolia's components growth in the 2nd year. More details displayed that E. nutans in M_B or M_D produced the maximum system yield via increasing leaf investment at the initial stages and stem investment after July 2019. Besides, M_I possessed lower component numbers than M_B and M_D in the unit area. PCA analysis revealed that component numbers or biomasses changed synchronously, besides the E. nutans of S_C, M_B, and M_D presented significant discrepancies compared to other treatments in September 2019, which verified the effect of sowing patterns on component growth (P < 0.05), but O. viciifolia in different sowing patterns was similar in the 2nd year. Considering the adaptability and production for the environment of the Qinghai Tibetan Plateau, S_C is recommended for the promoted effect on component biomasses. M_B and M_D, with the merit of spacing utilization as well as higher resistance to variation in seasonal growth conditions via optimizing interspecific relationships for mixed communities, are adapted for increasing yield via component harvesting. Our results unveiled the potential of optimizing spatial usage efficiency via controlling component growth characteristics and stressed the importance of dynamic change of dominant components to enhance forage system production in alpine regions.

Post-fire growth of Pinus halepensis: Shifts in the mode of competition along a precipitation gradient

Competition can intensify the struggle for resources among plants, affecting forest growth and dynamics. The intensity and mode of competition – asymmetric vs. symmetric – can change along environmental gradients and with time, impacting the response of plants to their environment, but this is seldom explicitly considered in management plans. In this study, we aim to (i) disentangle the main environmental and tree-related factors that affect post-fire Pinus halepensis sapling growth; (ii) determine which mode of competition characterizes the species post-fire regeneration; and (iii) elucidate if the mode of competition changes with time, and along climatic gradients. We sampled 148 P. halepensis saplings located in 15 sites affected by wildfires between 1987 and 2013 in Catalonia (NE Spain). We measured their radial growth at the base, and we identified their competitive environment by locating and measuring all the trees in a 3-meter-radius from our target saplings. We modelled the effect of tree size, age, climate, and competitive environment on the post-fire regeneration growth following the neighborhood theory of forest dynamics and using model comparison and information criteria to address our research questions. We used a modification from the Hegyi index to determine the prevalence of symmetric vs. asymmetric competition, and we assessed the support for models in which competition was allowed to vary with age and precipitation. The best model showed that competition, precipitation, age, and target size influenced the radial growth of P. halepensis post-fire regeneration (Akaike weight 0.66, R2 = 0.52). We found evidence that P. halepensis mode of competition is generally asymmetric but can change along a precipitation gradient: it shifts from asymmetric in drier sites to almost fully symmetrical as precipitation increases. Our findings have implications for the management of post-fire P. halepensis stands, enabling the adaptation of silvicultural prescriptions to the climatic environment. In a context of increasing water scarcity, adaptive silviculture is fundamental to foster the resilience of pinewoods to future climatic and disturbance regimes.

School Heads’ Leadership Quality, Organizational Climate, and Learning Environment as Predictors of Teachers’ Innovativeness

This study aimed to investigate the impact of school administrators' leadership quality, organizational climate, and learning environment on teachers' innovativeness in elementary and secondary public schools in the Lagonglong District, Misamis Oriental Division. Employing a descriptive-correlational and causal research design, the study included public school teachers as participants. Data were collected using proportionate stratified random sampling and analyzed with descriptive statistics, correlational analysis, and multiple regression analysis. The findings revealed a highly positive educational landscape characterized by effective leadership, a supportive organizational climate, conducive learning environments, and a culture of innovation among teachers. Significant positive relationships were identified between school leaders' leadership quality, organizational climate, learning environment, and teachers' innovativeness. Enhanced leadership quality, a favorable organizational climate, and a nurturing school learning environment were associated with increased levels of teacher innovation. The study emphasized the importance of leadership development, creating positive climates, supportive learning environments, and fostering an innovative culture to achieve long-term educational excellence. Multiple regression analysis identified significant predictors of teachers’ innovativeness, with organizational climate being statistically significant. The results demonstrated the influential impact of quality leadership, organizational climate, and learning environment on teacher innovativeness in school settings. Effective communication and team building were key contributing factors to enhancing innovative teaching. Schools developed team-building activities, communication strategies, a common vision, and meaningful support to inspire and guide teachers in creating an environment conducive to innovative learning.

ОГЛЯД ГРАНТОВИХ МОЖЛИВОСТЕЙ ДЛЯ УКРАЇНИ В УМОВАХ ВІЙНИ ВІД ВІДОМИХ ФІЛАНТРОПІВ ТА МЕЦЕНАТІВ

The article provides an overview of grant opportunities provided by well-known American philanthropists, namely: George Soros, Mackenzie Scott, Michael Bloomberg, Gordon and Betty Moore, Jim Simons, Mark Zuckerberg and his wife Priscilla Chen, Sergey Brin, Michael and Susan Dell, Pierre and Pam Cherise Omidyar, and the Marsh family. The grant instruments of the charitable foundations they have created are analyzed, namely: The Open Society Foundations, Bloomberg Philanthropies, Mackenzie Scott Initiative, Bezos Earth Fund and Bloomberg Philanthropies, Protect Our Planet Foundation, Renaissance Technologies Foundation, Chan Zuckerberg Initiative, Sergey Brin Family Foundation, Google Foundation, Dell Foundation, Omidyar Network Foundation, and the Marsh Family Foundation. The study demonstrates the priority areas of these foundations. Most support is focused on the following areas: humanitarian aid, healthcare, education, civil society development, ecology and climate change, environment, reconstruction and infrastructure, support for cultural initiatives, and economic development. Emphasis is placed on the types of support: in addition to grant assistance, Omidyar Network's impact investing in Ukraine is aimed at financing projects in the fields of education, technology, building communications between citizens and government, creating property rights, and finance; and the peculiarity of the Chan Zuckerberg Initiative's support is that it is implemented, in addition to grants, through “ventures” when capital is invested in companies around the world that develop transformational solutions to problems that meet the CZI's key mission. It is emphasized that the assistance to Ukraine from American philanthropists is diverse and large-scale, covering both large grant programs and individual initiatives. It is summarized that funding for projects in Ukraine is possible not only from the government and donor legal entities, but also from well-known philanthropists and patrons, including American philanthropists, who support various projects in Ukraine during the war by directing part of their wealth to charitable foundations and other philanthropic structures. These efforts help Ukraine overcome the humanitarian and economic challenges caused by the war and contribute to the country's recovery.

Climate Variability Impacts on the Fishery Ecosystem Structure in the Humboldt Current System

The Humboldt current system (HCS) sustains the highest global fishing catch for individual species. It is susceptible to interannual and decadal climate variability, which cause species-, community-, and ecosystem-level changes. Therefore, systematically exploring changes in the fishery ecosystem structure driven by climate variability is beneficial for fishery management in the region. In this study, a combination of large-scale climate, regional environmental, and functional groups catch data was used to detect regime shifts in the fishery ecosystem structure within the HCS and to investigate the possible impact mechanisms of climate variability. The results indicated that obvious decadal changes in the fishery ecosystem structure within the HCS align with inferred regime shifts in the early to mid-1970s, mid-1980s, and late 1990s. These shifts corresponded well to climate and regional environment regime shifts during these periods. Among the climate and environmental variables studied, the first and third principal components of climate index and the first principal component of regional environmental variables showed higher ecological importance for fishery ecosystem structure variations within the HCS. This suggest that fluctuations in the Aleutian Low and El Niño–Southern Oscillation significantly affected the regional environment, characterized by heat and wind speed, and consequently induced alterations in the fishery ecosystem structure. This study contributes to holistic understanding of climate-driven changes in the fishery ecosystem structure within the HCS, providing a robust foundation for ecosystem-based fisheries management.

Analyzing the Contribution of School Climate to Academic Achievement Using Structural Equation Modeling

The main goal of the current paper was to determine the effects of perceived school climate dimensions (leadership, relationships, professional learning-teaching climate, safety, and physical environment) on students’ learning performance in upper primary schools. Correlational design consisted of structural equation modeling with mediation analysis was applied. Three hundred twenty-eight randomly chosen teachers and pupils from upper primary schools of Injibara and Chagni, Awi zone of Ethiopia participated. The 16-item school climate scale that was employed had an internal consistency score of 0.91 according to Cronbach’s alpha. To create a well-fitting measurement model, as well as to ascertain the convergent and discriminant validities and the composite reliability of school climate domains, confirmatory factor analysis was carried out. Together, the five school climate factors explained 19% variation on student academic performance. Academic achievement of students was directly and significantly influenced by school leadership and the professional learning-teaching environment. Pupils’ academic success was significantly and favorably directly impacted by the overall perceived favorable school climate. Positive professional learning-teaching environment fully mediated effect of physical setting and safety on learning achievement, even though it partially mediated the effect of leadership practice of school. Contribution of positive school climate elements to student’s learning achievement should also be further investigated using longitudinal multilevel structural equation models.

Biostratigraphy and Depositional Environment of the Upper Disang Formation, Indo-Myanmar Ranges, Northeast India

This paper presents the results of Eocene molluscan fauna and benthic foraminifera from the Upper Disang Formation of Indo-Myanmar Ranges (IMR) and discussed here the biostratigraphic zone and depositional environment. These fauna and foraminifera are composed of Bivalvia viz. Noetia magnifica, Pitar (Calpitaria) carteri, Corbula (Bicorbula) rakhiensis, Gastropoda viz. Turritella sp., Turbinella premekranica, Lyria samanaensis and foraminifera Nummulites sp. On the basis of molluscan fauna Noetia magnifica, the biostratigraphic zone (Zone-I) is established and assigned middle-late Eocene age to Upper Disang Formation of IMR, Nagaland. The presence of invertebrate fossils and benthic foraminifers indicate a warm tropical-subtropical climate and shallow marine (neritic) depositional environment during the sedimentation of the Upper Disang Formation. Keywords: IMR, Inner Paleogene Fold Belt, Molluscan Fauna, Nummulites, Phesama, Upper Disang Formation

Leaf shape and size variability of Dryas octopetala in the Central Great Caucasus (the Kazbegi region, Georgia) based on traditional and geometric morphometrics

While soil pH is known to be a key driver of plant species composition, we still have a poor understanding of the quantification of the responses of leaf traits to different soil types, especially in highly sensitive alpine environments susceptible to global environmental changes. By combining traditional and modern geometric morphometrics we aimed to bridge the existing gap and determine whether certain leaf traits reliably separate evergreen Dryas octopetala populations residing in the subalpine-alpine zone of the Kazbegi region, in the eastern part of the Central Great Caucasus in Georgia. To achieve this aim, three populations of D. octopetala were analysed through traditional and, for the first time, modern geometric morphometrics. Both methods revealed congruent results indicating significant differences in leaf shape and size in locations with similar climatic conditions but different soil pH environments (acid vs neutral to slightly alkaline) thus suggesting that D. octopetala exhibits stronger leaf morphological plasticity (wider and larger leaves vs narrower and smaller leaves) to respond to changes in the soil pH gradient. In addition, modern geometric morphometrics, with its high degree of precision as an accessible and inexpensive method, could be advantageous for researchers and scientists seeking to gain a deeper understanding of plant species? unique responses to varying environmental conditions.

An integrated "rigid-flexible" strategy by side chain engineering towards high ion-conduction cationic covalent organic framework electrolytes.

In recent years, solid-state lithium metal batteries (SSLMBs) have become a new development trend, and it has become a top priority to design solid-state electrolytes (SSEs) that can rapidly and stably transport lithium ions in a variety of climatic environments. In this work, an integrated "rigid-flexible" dual-functional strategy is proposed to develop a cationic covalent organic framework (EO-BIm-iCOF) with well-defined flexible oligo(ethylene oxide) (EO) chains as an SSE for SSLMBs. As expected, the synergistic effects of the rigid cationic framework and flexible EO chains not only promote the dissociation of LiTFSI salts, but also greatly improve the transport of lithium ions, which endows LITFSI@EO-BIm-iCOF SSEs with a high Li+ conductivity of 1.08 × 10-4 S cm-1 and ionic transference number of 0.69 at room temperature. Besides, the molecular dynamics (MD) simulations have also elucidated the diffusion and transport mechanism of lithium ions in LITFSI@EO-BIm-iCOF SSEs. Interestingly, the assembled SSLMBs wherein LiFePO4 is paired with LITFSI@EO-BIm-iCOF SSEs display decent electrochemical properties at higher and lower temperatures. This work provides a great development prospect for the application of cationic COFs in solid-state batteries.

Integration of Ecological and Eco-technological Design on Architecture (Hot, Dry Climatic Environment)

The eco-technological architecture works to improve the efficiency of energy consumption, and the interaction of the building and its systems with the external environment as a living outlet that affects and is affected by the external environment. The research paper aims to devise sustainable ecological design criteria during all stages of sustainable building design by studying the integration between the ecology system and Eco technology on the hot, dry climatic environment and its direct impact on architecture to achieve compatibility and compatibility with the surrounding environment, leading to a more interactive architecture with the environment, an attempt to achieve ecological design features. By analyzing the architectural output resulting from the eco-technological concept, and achieving the highest degrees of comfort in the internal environment with the highest possible performance and the lowest possible cost, it positively affects the comfort of users. Therefore, architectural designers must move towards eco-technological thinking to pay attention to the energy rationalization system and the sustainability of buildings, realizing the importance of analyzing the basic principles of the eco-technological approach to obtain an environmentally compatible interior design, and paying attention to the technological means available to achieve energy efficiency in internal spaces in ways that do not affect the external environment.

Climate change and environment issues in cyber media construction in Indonesia

Background: The issue of climate change and the environment has not become the primary focus of the media in Indonesia, but it is frequently featured in the news. This occurs because the media fulfils its function as a provider of information. Purpose: This study seeks to explain how cyber media constructs climate change and environmental issues in the news. Methods: Research with a qualitative approach and qualitative descriptive methods, with critical discourse analysis as the data analysis technique. The websites Kompas.com, Okezone.com, and Suara.com are the subject of study. Results: According to the study, climate is the word that appears the most frequently in the text of the three media. Change is the term that appears most frequently on Kompas.com and Suara.com. Indonesia is the most popular search term on Okezone.com. At the level of production, cyber media lacks an agenda-setting team, a dedicated channel, or a specialized team devoted to the environment and climate change. At the social level, they only generate news related to the environment and climate change if it has gone viral and is trending on social media. Conclusion: The research concludes that there are both distinctions and similarities among the three cyber media in terms of the words that appear most frequently in news articles about environmental issues and climate change. They lack agenda-setting, a dedicated channel, and a specialized team. They are oblivious to environmental issues and climate change. Implications: The research has implications for agenda setting from theoretical implications. The media does not set an agenda and only follows the viral, trending, and important public issues. The implication is that cyber media gives viral issues a news value.

The Effect of Science Teachers’ Use of Innovative Instructional Technology Tools in Climate Change, Biodiversity and Environment on Web 2.0 Competencies

Bu araştırma ile fen bilimleri öğretmenlerinin iklim değişikliği, biyoçeşitlilik ve çevre konularında yenilikçi öğretim teknoloji araçlarını&#x0D; kullanarak ders içerikleri hazırladıkları TÜBİTAK 4005 projesi sonrasında Web 2.0 kullanım yetkinliklerindeki değişim durumunun&#x0D; incelenmesi ve öğretmenlerin Web 2.0 araçlarının derslerde kullanımına dair görüşlerinin nasıl olduğunun belirlenmesi amaçlanmaktadır.&#x0D; Bu araştırmada karma yöntem çerçevesinde gerçekleştirilmiştir. Araştırmanın çalışma grubunu Doğu Anadolu ve Güneydoğu Anadolu&#x0D; Bölgesinde görev yapan 14 erkek ve 16 kadın olmak üzere toplamda 30 fen bilimleri öğretmeni oluşturmaktadır. Proje kapsamında fen&#x0D; bilimleri öğretmenleri ile iklim değişikliği, biyoçeşitlilik, çevre alanlarında ve Web 2.0 araçları hakkında alanından uzman akademisyenler&#x0D; ile uygulamalı eğitimler gerçekleştirilmiştir Öğretmenlerden alan bilgilerini teknolojik araçlara entegre ederek her günün sonunda ders&#x0D; içerikleri oluşturmaları istenmiştir. Araştırmanın verileri Web 2.0 Araçları Kullanımı Yetkinliği Ölçeği ve yarı yapılandırılmış görüşmeler ile&#x0D; toplanmıştır. Araştırma çalışma grubundan elde edilen veriler SPSS 25 paket programı kullanılarak ilişkili örneklemler t testi kullanılarak&#x0D; analiz edilmiştir. Nitel veriler ise içerik analizi kullanılarak analiz edilmiştir. Araştırma sonuçlarına göre, fen bilimleri öğretmenlerinin&#x0D; uygulama sonrası Web 2.0 Araçları Kullanımı Yetkinliği Ölçeğinden aldıkları puanların uygulama öncesi aldıkları puanlara göre anlamlı&#x0D; bir artış olduğu tespit edilmiştir (t(29)= -14.584, p&lt; .05). Araştırmanın nitel bulgularına bakıldığında fen bilimleri öğretmenleri daha&#x0D; önce bilmedikleri Web 2.0 araçları hakkında bilgi edindiklerini, uygulama yapmayı öğrendiklerini ve tam yetkinlik kazandıklarını ifade&#x0D; etmişlerdir. Fen bilimleri öğretmenleri, Web 2.0 araçlarının derslerde kullanımının öğrenci ve öğretmenlere çeşitli faydaları olduğunu&#x0D; belirtmişlerdir.

Performance Evaluation of Low Temperature Operation and Snow Removal on the IoT-based Snow Removal System using Climatic Environment Chamber

Performance Evaluation of Low Temperature Operation and Snow Removal on the IoT-based Snow Removal System using Climatic Environment Chamber

Perception and Adjustment Practices of People on Environment and Climate Change : A Case Study of Kathmandu Valley

The modern globalized capitalistic economic system blended with never ending hunger of accumulation of wealth has intensified the process of industrialization, urbanization, over use of natural resources, deforestation, anti-metabolic processes creating imbalance in the carbon cycle, bringing changes in the global climate and forming problems in the environment. Such consequences brought changes in the adaptation behavior of the people of Kathmandu Valley. This study aims to focus on the perception and adjustment practices of kathmandu valley people with regard to change in climate and environment. In this study, four elderly people of different areas of Kathmandu valley have been selected purposively for acquiring information about the perception on climate change and environment of Kathmandu valley and change in the practices of people for coping with the changing context. Information has been collected through several hours of informal interview with the sampled people within the period of one month. There is adverse impact of capitalistic economic system and associated socio-cultural practices on the environment of Kathmandu valley causing change in the climatic condition and enforcing local people to change in their practices and behavior for better adjustment.

Conceptual study of Anukta Vyadhi &amp; importance of Ayurvedic Compendia in present era for the treatment of Anukta Vyadhi

Ayurveda is well-established science that deals with every aspect of Human life i.e., how to cure disease and maintain health. Anukta means unstated/unsaid/hidden. Anukta Vyadhi means the disease which is not explained in the Ayurvedic text. In the present era, due to drastic change in climate environment and standard of living, many newer diseases arise which is not mentioned in Samhita. To solve this problem, Acharya has stated that Anukta Vyadhi should be treated as per Hetu and vitiated Dosha and their Sthana. Concept of Anukta helps not only in understanding the classical concept but also set a base for understanding new diseases with a diagnostic approach.