Restricted Area Research Articles

Multimodal biometric authentication: A review

Critical applications ranging from sensitive military data to restricted area access demand selective user authentication. The prevalent methods of tokens, passwords, and other commonly used techniques proved deficient as they can be easily stolen, lost, or broken to gain illegitimate access, leading to data spillage. Since data safety against tricksters is a significant issue nowadays, biometrics is one of the unique human characteristic-based techniques that may give better solutions in this regard. The technique entails biometric authentication of users based on an individual’s inimitable physiological or behavioral characteristics to provide access to a specific application or data. This paper provides a detailed description of authentication and its approaches, focusing on biometric-based authentication methods, the primary challenges they encounter, and how they have been addressed. The tabular view shows the benefits and downsides of various multimodal biometric systems, and open research challenges. To put it another way, this article lays out a roadmap for the emergence of multimodal biometric-based authentication, covering both the challenges and the solutions that have been proposed. Further, the urge to develop various multi-trait-based methods for secure authentication and data privacy is focused. Lastly, some multimodal biometric systems comprising fingerprint and iris modalities have been compared based on False Accept Rate (FAR), False Reject Rate (FRR), and accuracy to find the best secure model with easy accessibility.

Detection of aberration in human behavior using shallow neural network over smartphone inertial sensors data

AbstractThe integration of different Mobile Edge Computing (MEC) applications has significantly enhanced the realm of security and surveillance, with Human Activity Recognition (HAR) standing out as a crucial application. The diverse sensors found in smartphones have made it convenient for monitoring applications to gather and analyze data, rendering them valuable for HAR purposes. Moreover, MEC can be employed to automate surveillance, allowing intelligent monitoring of restricted areas to identify and respond to unwanted or suspicious activities. This research develops a system using motion sensors in smartphones to identify unusual human activities. People's smartphones were employed to monitor both suspicious and regular activities. Information was collected for various actions categorized as either suspicious or regular. When a person performs a certain action, the smartphone records a series of sensory data, analyse important patterns from the basic data, and then determines what the person is doing by combining information from different sensors. To prepare the data, information from different sensors was aligned to a shared timeline. In this study, we used a sliding window approach on synchronized data to feed sequences into LSTM and CNN models. These models, which include initial layers of LSTM and CNN, automatically find important patterns in the order of human activities. We combined SVM with the features extracted by the shallow Neural Network to make a mixed model that predicts suspicious activities. Lastly, we compared LSTM, CNN, and our new shallow mixed neural network using a new real‐time dataset. The mixed model of CNN and SVM achieved an accuracy of 94.43%. Additionally, the sliding window method's effectiveness was confirmed with a 4.28% improvement in accuracy.

Predicting Prayagraj's Urbanization Trajectory using CA-ANN Modelling: Population Pressures and Land Use Dynamics

Land Use/Land Cover (LULC) dynamics provide a crucial role in the monitoring, planning, and management of resources. They also offer valuable information for developing strategies to balance conservation efforts, resolve conflicts between different land uses, and address pressures from growth. The present study focuses on the assessment of LULC dynamics, their forecasting, and their changes for Prayagraj city (including its surroundings) of India. Using long-term spatiotemporal Landsat datasets (1988–2018), we have explored the interlinkages between the change dynamics and human population pressure to explore the impact of agriculture and urbanization on the city landscape. Future growth prediction is carried out by incorporating Cellular Automaton (CA) and Artificial Neural Network (ANN) models. Six exploratory layers (viz., roads, educational institutes, railway transition, slope, river, and restricted area) are used in the learning process to determine LULC change (1997–2008) simulation. The validation of real and predicted LULC is carried out for 2018, where the correctness percentage and kappa value are found to be 90.29% and 0.87, respectively. Then, the ANN- Multilayer perceptron (MLP) and CA model are applied to predict LULC–2028 using the same trained transition probabilities. Results show that Built-land has grown highly by 10.03%, whereas Agriculture land and Forest land have significantly decreased by 13.43% and 3.03%, respectively, from 1988 to 2018. The predicted LULC of 2028 reveals that Built-land will keep growing by 2.83% during 2018–2028 at the cost of Agriculture land and Forest land, especially in northern, south–western and southern region, including city's inner sphere. United Nations' human population projection reveals that the city is expected to reach a population of 1.625 million by 2028. This indicates that tremendous pressure will be placed on land resources, particularly on agricultural, barren, and forested areas. To address this alarming scenario, it is imperative to delineate future development areas, ensuring better urban planning for the environmental sustainability and economic prosperity of Prayagraj city.

Megacity solid waste disposal suitability mapping in Dhaka, Bangladesh: an integrated approach using remote sensing, GIS and statistics.

Selecting suitable Megacity Solid Waste Disposal (MSWD) sites is a challenging task in densely populated deltas of developing countries, exacerbated by limited public awareness about waste management. One of the major environmental concerns in Dhaka City, the world's densest megacity, is the presence of dumps close to surface water bodies resources. This study employed the Geographic Information System (GIS)-Analytic Hierarchy Process (AHP) framework to integrate geomorphological (slope and flow accumulation), geological (lithological and lineament), hydrogeological (depth to groundwater table and surface waterbody), socioeconomic (Land use land cover, distance to settlement, road, and airport), and climatological (wind direction) determinants, coupled by land-use and hydro-environmental analyses, to map optimal dumps (MSWDO) sites. The resulting preliminary (MSWDP) map revealed 15 potential landfill areas, covering approximately 5237 hectares (ha). Combining statistical analysis of restricted areas (settlements, water bodies, land use) with AHP-based ratings, the MSWDO map revealed two optimal locations (2285ha). Additionally, the hydro-environmental analysis confirmed the unsuitability of northern sites due to shallow groundwater (< 5.43m) and thin clay, leaving 11 options excluded. Sites 12 (Zone A, 2255ha) and 15 (Zone B, 30ha), with deeper groundwater tables and thicker clay layers, emerged as optimal choices for minimizing environmental risks and ensuring effective long-term waste disposal. This study successfully integrates remote sensing, geospatial data, and GIS-AHP modeling to facilitate the development of sustainable landfill strategies in similar South Asian delta megacities. Such an approach provides valuable insights for policymakers to implement cost-effective and sustainable waste management plans, potentially minimizing the environmental risks to achieve Sustainable Development Goals (SDGs) 6, 11, 13, and 15.

Influence of Dietary Heritage in a Restricted Geographic Area and Role of Food Additives on Risk of Recurrent Kidney Stone.

Dietary factors may be implicated in the formation of kidney stones and should be closely monitored. To achieve this aim, patients are routinely assessed by means of generic dietary recall, a tool widely used by authors in a range of extensive patient populations to record food intake; the findings obtained, however, may be skewed due to dietary variations and underestimation of the effect of food additives. Fifty Frequent Kidney Stone Formers (FKSFs, mean age: 54.3 ± 13.9 years) with normal kidney function, absence of comorbidities, and reliable compliance were selected from a total of 68 patients' resident in Sardinia, an Italian island where genetic admixtures have been relatively rare for generations. The study, conducted from 1 January 2020 to 31 December 2023, was aimed at assessing nutritional values based on the meticulous recording of food quantities, quality, and potential modifications related to food preparation. Patients were selected during an initial clinical check-up and all efforts made to ensure they were capable of reliably recording all food and drinks consumed. A seven-day food diary was provided in which food and drink intake and their impact on 24 h urine output was recorded. The following parameters were measured in both foods and urine output: citrates, oxalates, calcium, phosphorous, uric acid, proteins and nitrogen compounds, magnesium, sulfates, potassium, carbohydrates, free fatty acids. Study outcomes established the presence of hypocitraturia, hyperoxaluria, hypercalciuria, and moderately high levels of nitrogen compounds. Univariate analysis followed by multivariate analysis for further confirmation were performed and the following observations made. Citrate intake correlated with citraturia but did not promote oxaluria; calcium intake promoted onset of sulfaturia, azoturia, and ammoniuria, whilst magnesium correlated with magnesiuria but not with oxaluria, calciuria, phosphaturia, and azoturia; sulfate intake elicited onset of azoturia but not kaliuresis; potassium intake promoted oxaluria and protein intake resulted in onset of ammoniuria and azoturia. (A) The chemical composition of urine based on dietary intake is hard to predict without taking into account the presence of dietary and urinary interferents; (B) the geographic isolation of patients studied underlines the importance of epigenetics in maintaining a traditional dietary heritage. (C) Moreover, the widespread use of food additives should consistently be taken into account to ensure a correct diagnosis of FKSF and set up a valid treatment plan.

East–West Difference in the Ionospheric Response During the Recovery Phase of May 2024 Super Geomagnetic Storm Over the East Asian

AbstractIn this study, we offer an extensive examination of the F‐region ionospheric disturbances during the May 2024 superstorm, focusing primarily on the middle‐low latitude regions of East Asia. Our analysis is grounded in a wealth of data sources including Total Electron Content (TEC), ionospheric parameters NmF2 and hmF2, Electron Density Profile (EDP) retrieved from Radio Occultation (RO) data, and ∑[O]/[N2] from the Global Ultraviolet Imager (GUVI), among others, complemented by model simulations. The observed negative ionospheric storm effect, characterized by a significant and long‐lasting reduction in electron density across the entire China, commenced immediately following the sudden storm commencement (SSC) on 10 May and continued through the main and early recovery phase of the storm on 11 May. On 11–12 May, positive ionospheric storm impacts were initially observed in a restricted geographical area from the post‐midnight to sunrise, first manifesting over the eastern regions of China and then shifting to the central regions. Subsequently, a pronounced negative storm effect persisted throughout the later stages of recovery phase. In contrast, the western regions of China experienced a positive storm effect on 12 May followed by a comparatively mild negative storm phase. This persistent extensive zonal gradient in electron density across the East Asian region resembles the scenarios depicted in prior superstorms attributed to the thermospheric circulation patterns. The disparity in the ionospheric response from east to west in this area is probably a common feature during superstorms, potentially resulting from an arch‐shaped structure of elevated ∑[O]/[N2].

Enhancement of gaseous toluene removal by photocatalysis using hydrothermal synthesis carbon nanodots/TiO2 combined with zeolite ZSM-5

Abstract Many studies have been conducted to produce composite materials that possess the ability to transform volatile organic compounds (VOCs) to other nontoxic forms economically and environmentally by means of photocatalytic method. However, the main drawbacks of these materials include restricted surface area, low affinity towards organic molecules, and wide band gap energy which dramatically inhibit their performance. In this research, a composite material that surpasses the above disadvantages has been successfully synthesized from TiO2 - carbon nanodots (CDs) - zeolite ZSM-5. Particularly, CDs synthesized by bottom-up method were coated on TiO2 before being uniformly distributed on zeolite ZSM-5. The powder samples with varying CDs/TiO2 and zeolite ZSM-5 content were tested for their photocatalytic oxidization capability to determine the appropriate ratio. The results revealed that samples with higher zeolite content improved photocatalytic activity. Under other survey conditions such as low toluene flowrate, high relative humidity as well as high UV intensity, the photocatalytic performance was enhanced notably. The newly produced material has corrected most disadvantages of traditional photocatalysts, however, further researches need to be made to improve the removal stability.

Assessing the Antibacterial Effectiveness against MDR Strains and the Antioxidant Characteristics of Ficus auriculata

For millennia, people have successfully treated a wide range of illnesses, including bacterial infections, with different plant parts or extracts. “MDR strain” typically refers to a “multi-drug resistant strain” of a bacteria. In the context of infectious diseases, a multi-drug resistant strain refers to a strain of the pathogen that has acquired resistance to multiple drugs that are commonly used to treat infections caused by that specific pathogen. MDR strains can present significant challenges in healthcare settings as they limit the effectiveness of standard treatments and may require more aggressive or specialized approaches to manage the infection. The discdiffusion method was used in this investigation to test the antimicrobial properties of Petroleum ether, acetone, ethanol, methanol, and aqueous extracts of Ficus auriculata leaves against four bacterial strains namely Salmonella enteric serovar typhi, Salmonella enteric ser Paratyphi (MDR strain) Pseudomonas aeruginosa and Escherichia coli. The findings showed that all of the investigated organisms (zone of inhibition of 0.5 ± 0.15 &amp; 18 ± 1.7 mm) were significantly inhibited by the petroleum ether, ethanol, and methanol extracts, with the exception of Salmonella typhi (an 18 mm inhibitory zone). The restricted area (≤5) indicated moderate activity in the aqueous extracts. It’s crucial to remember that antimicrobial activity analysis of plant extracts is just one step in the process of identifying potential natural antimicrobial agents. Further studies, including the identification and isolation of specific bioactive compounds, toxicology assessments, and clinical trials, are required before any plant extract can be considered for use as a drug development.

Kruskal Wallis and mRMR Feature Selection based Online Signature Verification System using Multiple SVM and KNN

Signature verification is a very important research area. Signature has been widely accepted as a person authentication method for centuries. It is mostly used in financial transactions, document authentication and agreements. It is more susceptible to being forged than any other biometrics. Online signature verification is used in real-time applications like e-commerce, online resource access, online financial transactions, physical access into a restricted area and many more. In order to achieve high efficiency in online signature verification systems, feature extraction and feature selection play a significant role. A suitable signature verification system is needed to prevent forgery and accept the genuine signer. We have extracted 30 global features from all 40 signers for verification. Here, k fold cross-validation technique is used to enhance the model's performance on unseen data. User-specific feature selection and ranking are done using Kruskal Wallis and Minimum Redundancy Maximum Relevance (mRMR) algorithm to hunt which performs better in our case. Kruskal-Wallis method tests if two or more classes have an equal median and gives the value of P based on which discriminative features are selected, whereas the mRMR algorithm ranks the whole feature set according to its importance. It evaluates the relevance of a feature and penalizes redundancy. Finally, multiple SVM and KNN classifiers are trained and tested with various selected features using Kruskal Wallis and mRMR to determine which combination performs best for the online signature verification system. Our model is trained, validated and tested on the SVC 2004 Task 1 database, which consists of skill forgery signatures. Here, one to one verification is done using each user's genuine and skill forgery signatures, which is the hardest to detect. Best average testing accuracy achieved in our case is 90.25% using Weighted KNN and Kruskal Wallis selected 15 features.

A comparison of the safety and efficacy of tapinarof and roflumilast topical therapies in the management of mild-to-moderate plaque psoriasis.

Psoriasis is an immune-mediated inflammatory skin disease. First-line topical treatments include steroids, calcineurin inhibitors, vitamin D analogs, and anthralin. Recently, novel topical therapeutics like tapinarof and roflumilast have emerged with unique anti-inflammatory mechanisms and promising efficacy profiles. This review utilized PubMed, SCOPUS, and Web of Science databases to identify recent studies on tapinarof and roflumilast. Criteria focused on efficacy, safety profiles, and therapeutic roles in psoriasis treatment. Four primary literature articles were identified for tapinarof and five for roflumilast. Both drugs demonstrated strong efficacy with minimal adverse events in treating mild-to-moderate plaque psoriasis. Tapinarof showed more frequent but mild adverse effects, while roflumilast had less frequent but more severe side effects. Tapinarof and roflumilast offer once-daily dosing and successful treatment in restricted areas, potentially enhancing patient adherence. Cost remains a limiting factor, necessitating future comparative studies to evaluate the efficacy, safety, and cost-effectiveness between the two drugs. Tapinarof and roflumilast present promising topical treatments for psoriasis, showing efficacy and manageable safety profiles. Further research is crucial to fully elucidate their comparative benefits and drawbacks in clinical practice.

Guidelines in Practice: Surgical Attire.

Perioperative team members wear surgical attire when working in the OR. Wearing clean surgical attire is important to maintain a high level of cleanliness for patient safety. The recently updated AORN "Guideline for surgical attire" provides perioperative nurses with recommendations for wearing surgical attire in the semirestricted and restricted areas of the perioperative setting. This article discusses recommendations for laundering; head coverings; shoes; and identification badges, access cards, and personal items. It also includes a scenario describing compliance monitoring for an updated policy related to cleaning cell phones and performing hand hygiene after cell phone use. Perioperative nurses should review the guideline in its entirety and apply the recommendations for wearing surgical attire in the perioperative environment.

Management lessons from a long‐term captive‐breeding program for a critically endangered species, Leadbeater's possum, Gymnobelideus leadbeateri

AbstractLeadbeater's possums (Gymnobelideus leadbeateri) are a critically endangered marsupial found in a restricted area of cold, wet forest in South‐Eastern Australia. The majority of Leadbeater's possums inhabit highland forest, with one outlying lowland population. In 2012, a breeding program was established for the lowland Leadbeater's possums when this genetically distinct population faced imminent extinction. Successful reproduction by highland Leadbeater's possums in the international zoo‐based population between 1970 and 2010 led to the widespread belief that the species bred readily in captivity. Lowland possums have not bred in the 2012–2021 contemporary captive conservation breeding program. This study reviewed the historic captive‐breeding data and found that of the 84% (162/194) that reached reproductive maturity; 37% of males (n = 30) and 39.5% of females (n = 32) bred, and this success was highly skewed towards a subset of highly fecund individuals (14% of females and 15% of males produced 75% and 80% of all offspring). Although lack of reproductive output in the captive lowland animals could be explained if age at mortality was lower than that of highlands possums, comparison of the longevity of highland and lowland animals had no significant difference. Conservation objectives that specify how captive breeding may support in situ recovery of wild populations are integral to the success of captive programs. A lack of reflective analysis of past husbandry records allowed misconceptions of success and approaches implemented in the management of the breeding program, reducing the benefits for the conservation of this high profile threatened species. This case study provides a lesson for the management of conservation breeding programs and illustrates the importance of well‐defined conservation objectives, integration of in situ and ex situ strategies, and the importance of objective, systematic and timely analysis of available evidence to inform management objectives and improve conservation outcomes in real time.

CIELAB Color Space as a Field for Tracking Color-Changing Chemical Reactions of Polymeric pH Indicators.

Two types of cross-linked polymeric dye films that exhibit reversible color changes in response to pH were prepared. Upon protonation, films with a nitrophenol dye moiety (NP) changed from yellow to colorless, whereas films with an azobenzene dye moiety (AB) changed from yellow to reddish-purple. The colored light transmitted through these films from a D65 white-light source was measured colorimetrically, and the transition of the chromaticity point in CIELAB upon protonation of the polymeric dyes was observed. At low dye concentrations ([NP] < 4.7 × 10-5 and [AB] < 2.7 × 10-5 mol L-1), linear loci of the chromaticity points were displayed for both polymeric dye films, indicating perceptual linearity. This linearity is caused by the avoidance of nonlinear perceptual phenomena such as the Abney effect and the Bezold-Brücke phenomenon. The perceptual linearity of space is a necessary condition for achieving stoichiometric linearity, which requires an additional linear relationship between the dye concentration and each component, a*, b*, and L*. A geometric equation that included the AB concentration and the protonation ratio of AB was used to successfully depict, on the basis of stoichiometric linearity, the protonation of the polymeric AB films three-dimensionally in the restricted area of CIELAB.

Amphibious Hybrid Laser Tweezers for Fluid and Solid Domains.

Optical trapping is a potent tool for achieving precise and noninvasive manipulation of small objects in a vacuum and liquids. However, due to the substantial disparity between optical forces and interfacial adhesion, target objects should be suspended in fluid environments, rendering solid contact surfaces a restricted area for conventional optical tweezers. In this work, by relying on a single continuous wave (CW) laser, we demonstrate an optical manipulation system applicable for both fluid and solid domains, namely, amphibious hybrid laser tweezers. The key to our system lies in modulating the intensity of the CW laser with duration shorter than the dynamic thermal equilibrium time within objects, wherein strong thermal gradient forces with ∼6 orders of magnitude higher than the forces in optical tweezers are produced, enabling moving and trapping micro/nano-objects on solid interfaces. Thereby, CW laser-based optical tweezers and pulsed laser-based photothermal shock tweezers are seamlessly fused with the advantages of cost-effectiveness and simplicity. Our concept breaks the stereotype that CW lasers are limited to generating tiny forces and instead achieve ultrawide force generation spanning from femto-newtons (10-15 N) to (10-6 N). Our work expands the horizon of optical manipulation by seamlessly bridging its applications in fluid and solid environments and holds promise for inspiring optical manipulation techniques to perform more challenging tasks, which may unearth application scenarios in diverse fields such as fundamental physical research, nanofabrication, micro/nanorobotics, biomedicine, and cytology.

The Application of GPS-Based Friend/Foe Localization and Identification to Enhance Security in Restricted Areas.

This paper is devoted to the application of object localization and identification with information combined from a radar system and a dedicated portable/mobile electronic device equipped with a global positioning system (GPS) receiver. This device is able to provide object's (staff member, and staff vehicle) rough location and identification. Such systems are required in very restrictive security areas like airports (e.g., open-air area and apron). Currently, the outdoor area of the airport is typically protected by a surveillance system operated by security guards. Surveillance systems are composed of different sensors, video and infrared cameras, and microwave radars. The sheer number of events generated via the system can lead to fatigue among staff, potentially resulting in the omission of critical events. To address this issue, we propose an electronic system equipped with a wireless module and a GPS module. This approach enables automatic identification of objects through the fusion of data from two independent systems (GPS and radar). The radar system is capable of precisely localizing and tracking objects, while the described system is able to identify registered objects. This paper contains a description of the subsystems of a portable/mobile electronic device. The fusion of information from the proposed system (rough location and identification) with the precise location obtained from short-range radar is intended to reduce the number of false alerts in the surveillance system.

Population and genetic diversity of rhizobia nodulating chickpea in Indo-Gangetic plains of India.

Chickpea is a crucial leguminous crop and India is the leading producer, with an average yield of 1.18 tons/ha. It is renowned for its specific nodulation with rhizobia. Despite its significance, studies on chickpea-nodulating rhizobia often focused on small-scale investigations within restricted geographical areas. This study delves into the population, genetic diversity, and symbiotic efficiency of chickpea-nodulating rhizobia in the Indo-Gangetic Plains (IGP) of India. The study revealed a low population of chickpea rhizobia (ranging from 11 to 565 cells/g dry soil) across the examined area. Only three samples exhibited a population exceeding 300 cells/g, emphasizing the potential need for inoculation of rhizobia with efficient and competitive strains. Correlation analysis highlighted a significant positive correlation between rhizobial population and organic carbon content, among various soil parameters like pH, electrical conductivity, available nitrogen (N), phosphorus (P), potassium (K), and organic carbon content. Among the 79 presumptive rhizobia isolated from 24 IGP locations, 61 successfully nodulated chickpea cultivar Pusa 362. 16S rRNA gene sequencing categorized 54 isolates as Mesorhizobium, four as Rhizobium, and three as Ensifer. Genetic diversity assessed by BOX-PCR revealed sixteen distinct banding patterns, underscoring substantial variability among the strains. The strains exhibited plant growth-promoting activities, salt tolerance up to 3% NaCl, and pH tolerance between 4 and 10. Six symbiotically efficient strains were identified based on their positive impact on nodulation and dry biomass. This study provides crucial insights into the diversity, genetic makeup, and symbiotic efficiency of chickpea rhizobia in the IGP, supporting the potential use of indigenous rhizobia for sustainable chickpea productivity in the region.

Radiomap Inpainting for Restricted Areas Based on Propagation Priority and Depth Map

Radiomap Inpainting for Restricted Areas Based on Propagation Priority and Depth Map

Determination of Recreatıon Areas in Acarlar Longoz

The protection of nature and the environment, the preservation of the diversity of ecosystems without jeopardizing their integrity, and their sustainable development are important for sustainability. The Acarlar Floodplain is an extraordinary tourism and recreation area in terms of its ecological and landscape features. In the Acarlar Floodplain, which has recently become an important tourist destination, it is important to determine the attractions for daily recreation without neglecting the conservation value. The aim of this study is to identify suitable areas for hiking and birdwatching in the region using the weighted overlay method. The results show that most of the region is restricted areas for targeted activities, especially birdwatching, due to the different conservation status of Acar Longoz. The 1st degree suitable areas for hiking activities cover 226 ha and 4169 ha fall under the 2nd degree suitable category. The 1st degree suitable areas for birdwatching cover 16 ha, while the 2nd degree suitable areas cover 487 ha. The results provide essential inputs and an exemplary scientific methodology for the development of the current ecotourism project and wetland management plans.

China's onshore wind energy potential in the context of climate change

China has great potential for developing renewable energy to achieve its carbon neutrality goals. Orderly development of renewable energy is essential to enhance resource utilization efficiency and ensure safety during the energy system transition process. This study presents a thorough assessment of China's onshore wind power potential by considering the land suitability, the potential and temporal characteristics, and the impacts of climate change. The high-resolution maps combining wind resources with land conditions and climate scenarios are produced to provide insights into system planning, grid integration, and flexibility management. The results show that the capacity potential of onshore wind energy in China is 9.6 TW with an annual generation of 12.6 PWh, and 83 % of total capacity has a cost advantage with the levelized cost lower than the 60 $/MWh threshold. By comprehensively considering geographical, economic, and social criteria, around 8.1 % of the national territorial area is identified as the most suitable area for wind power development, primarily in Inner Mongolia and Xinjiang. The annual electricity generation from these areas can fulfill nearly 69 % of the nation's electricity demand. Future climate change projections indicate a remarkable generalized drop by 18 % in the north and a slight increase by 7 % in the south under the RCP 8.5 scenario. However, significant changes in wind resources are mostly within restricted areas, suggesting that future climate change would like to bring negative but limited impacts on wind power production in China.

ISOLATION AND CHARACTERIZATION OF WATER SOLUBLE FRACTION OF PROPOLIS AND ITS ANTIBACTERIAL POTENTIAL ON BACTERIA CAUSING CONJUNCTIVITIS

Propolis is a bee product with a variety of biological activities. Although chemical composition of propolis differs by the location but all propolis types possesses antimicrobial activity. The usage of propolis for apitherapeutic purposes has increased recently. But its ethanol solubility limits its usage in certain areas like ophthalmology. Main objective of this study is to isolate water soluble components of propolis and determination of its antimicrobial activity against two bacteria causing conjunctivitis namely Neisseria gonorrhoeae and Haemophilus influenzae. Isolation of water soluble fraction of propolis was carried out in two steps by using pectin-propolis micro beads. Isolated water soluble fraction and crude extract was examined by thin layer chromatography and HPLC analyses. Three main spots were screened on TLC plate after isolation. These spots could be explained by the presence of different class of compounds in the isolate. HPLC analyses showed that water soluble fraction contained phenolic acids, their esters and flavonoids like p-OH benzoic acid, t-cinnamic acid, pinocembrin and caffeic acid phenethyl ester. Low antimicrobial activity was achieved against tested microorganisms for the fraction. It can be concluded that isolation of water soluble fraction of the propolis extract could be a solution for its usage in restricted areas.