bluuebunny/crossref_metadata_2025 huggingface dataset:
Priority Pollutants Monitoring and Water Quality Assessment in the Siret River Basin, Romania
Authors: Zait Roxana , Sluser Brindusa , Fighir Daniela , Plavan Oana , Teodosiu Carmen
Published: January 2022

The Integrated Water Resources Management regulations aim to ensure a good status of surface water quality and its sustainable use. Water quality monitoring of various water users supports the identification of pollution sources and their environmental impacts. The priority pollutants generated by wastewater discharges from municipal, industrial wastewater treatment plants or agricultural areas are of great interest due to their eco-toxicological effects and bio-accumulative properties. The aim of this study was to monitor the priority organic and inorganic pollutants from the Siret River basin, in Romania, with the purpose of assessing the surface water quality status and evaluating it by the Water Quality Index (WAWQI) method. The monitoring of inorganic priority pollutants (e.g., As, Cd, Hg, Ni, Pb) and organic priority pollutants (e.g., Naphthalene, Anthracene, Phenanthrene, Fluoranthene, Benzo(a)anthracene, Benzo(b)fluoranthene, Benzo(k)fluoranthene, Benzo(a)pyrene, Benzo(ghi)perylene, Indeno(1,2,3-cd)pyrene, α, β, and γ-Hexachlorocyclohexane, and Di-2-ethyl-hexyl-phthalate) was conducted within the Siret River basin, during the period 2015–2020. With this purpose, 21 sampling points (18 river sections and 3 lakes) were considered to assess the water quality. The results of this study proved that the water quality within the Siret River basin is generally classified in the 2nd or 3rd class. The spatial distribution of the water quality index values, using ARCGIS, also highlighted the fact that the water quality is mostly unsuitable for drinking water supplies, being influenced by the quality of its main tributaries, as well as by the effluent of wastewater treatment plants.
Statistical and Hydrological Evaluations of Water Dynamics in the Lower Sai Gon-Dong Nai River, Vietnam
Authors: Giang Ngo Ngoc Hoang , Quang Chau Nguyen Xuan , Long Do Tan , Ky Pham Dinh , Vu Nguyen Duc , Tran Dung Duc
Published: January 2022

The water levels downstream of the Sai Gon and Dong Nai river in Southern Vietnam have been significantly changed over the last three decades, leading to severe impacts on urban flooding and salinity intrusion and threating the socio-economic development of the region and lives of many local people. In this study, the Mann-Kendall (MK) and trend-free prewhitening (TFPW) tests were applied to detect the water level trends and changepoints based on a water level time series at six gauging stations that were located along the main rivers to the sea over 1980–2019. The results indicated that the water level has rapidly increased by about 0.17 to 1.8 cm/year at most gauge stations surrounding Ho Chi Minh City, strongly relating to urbanization and the dike polder system’s impacts that eliminates the water storage space. In addition, the operation of upstream reservoirs has contributed to water level changes with significant consequences since the high-water level at Tri An station on the Dong Nai river occurs 1000–1500 times compared to 300–500 times before the operation. Although the effects of the flows from the sea are less than the two other factors, the local government should seriously consider water level changes, especially in the coastal regions. Our study contributes empirical evidence to evaluate the water level trends in the planning and development of infrastructure, which is necessary to adapt to future changes in Southern Vietnam’s hydrologic system.
Application of Natural Coagulants for Pharmaceutical Removal from Water and Wastewater: A Review
Authors: Alazaiza Motasem , Albahnasawi Ahmed , Ali Gomaa , Bashir Mohammed , Nassani Dia , Al Maskari Tahra , Amr Salem , Abujazar Mohammed
Published: January 2022

Pharmaceutical contamination threatens both humans and the environment, and several technologies have been adapted for the removal of pharmaceuticals. The coagulation-flocculation process demonstrates a feasible solution for pharmaceutical removal. However, the chemical coagulation process has its drawbacks, such as excessive and toxic sludge production and high production cost. To overcome these shortcomings, the feasibility of natural-based coagulants, due to their biodegradability, safety, and availability, has been investigated by several researchers. This review presented the recent advances of using natural coagulants for pharmaceutical compound removal from aqueous solutions. The main mechanisms of natural coagulants for pharmaceutical removal from water and wastewater are charge neutralization and polymer bridges. Natural coagulants extracted from plants are more commonly investigated than those extracted from animals due to their affordability. Natural coagulants are competitive in terms of their performance and environmental sustainability. Developing a reliable extraction method is required, and therefore further investigation is essential to obtain a complete insight regarding the performance and the effect of environmental factors during pharmaceutical removal by natural coagulants. Finally, the indirect application of natural coagulants is an essential step for implementing green water and wastewater treatment technologies.
Research on Seepage Control of Jurong Pumped Storage Hydroelectric Power Station
Authors: Miao Kehan , Bai Zhenglin , Huang Yong , Huang Yunlong , Su Yue
Published: January 2022

Based on the geological and hydrogeological conditions of the Jurong Pumped Storage Hydroelectric Power Station (JPSHP), a 3D groundwater flow model was developed in the power station area, which took into account the heterogeneity and anisotropy of fractured rocks. A control inversion method for fractured rock structural planes was proposed, where larger-scale fractures were used as water-conducting media and the relatively intact rock matrix was used as water-storage media. A statistical method was used to obtain the geometric parameter values of the structural planes, so as to obtain the hydraulic conductivity tensor of the fractured rocks. Combining the impermeable drainage systems of the upper storage reservoir, underground powerhouse and lower storage reservoir, the 3D groundwater seepage field in the study area was predicted using the calibrated model. The leakage amounts of the upper storage reservoir, powerhouse and lower storage reservoir were 710.48 m3/d, 969.95 m3/d and 1657.55 m3/d, respectively. The leakage changes of the upper storage reservoir, powerhouse and lower storage reservoir were discussed under the partial and full failure of the anti-seepage system. The research results provide a scientific basis for the seepage control of the power station, and it is recommended to strengthen the seepage control of the upper and lower storage reservoirs and the underground powerhouse to avoid excessive leakage and affect the efficiency of the reservoir operation.
Economic Analysis of Atomization Drying of Concentrated Solution Based on Zero Discharge of Desulphurization Wastewater
Authors: Zhao Ning , Feng Yongxin , Li Debo , Chen Limei
Published: January 2022

With the improvement of environmental protection requirements, more and more attention has been given to desulphurization wastewater with zero discharge in coal power plants. Atomization drying is part of the main zero discharge technologies at present. Economic analysis of the atomization drying of desulphurization wastewater is beneficial to the formulation of an appropriate operation scheme and to the reduction of operation costs. The economic analysis and sensitivity analysis of different operating conditions such as unit load, the handling capacity of concentrates, and the temperature of the extracted flue gas in the atomization drying process of concentrated desulfurized wastewater were carried out in this paper. The main cost of the drying process came from the influence of flue gas extraction on the overall heat transfer in the boiler, resulting in the decrease in power generation revenue, which can reach more than 80%. The operating cost of auxiliary machinery was relatively low. The cost of treatment for per ton of concentrates increased first and then decreased with the increase in temperature of the extracted flue gas, and it decreased with the increase in the handling capacity of the concentrates. The effect of a unit load on the treatment cost was also related to the temperature of the extracted flue gas, and the optimal flue gas temperature increase to higher temperatures as the unit load decreased. The minimum treatment costs per ton of concentrate ranged from CNY 143.54/t to CNY 158.77/t under different unit loads. Sensitivity analysis showed that the temperature of the extracted flue gas had the greatest impact on treatment cost, and its sensitivity coefficient was 0.0834. The ways in which to improve economic benefits were discussed.
Pressure Sensor Placement in Water Supply Network Based on Graph Neural Network Clustering Method
Authors: Peng Sen , Cheng Jing , Wu Xingqi , Fang Xu , Wu Qing
Published: January 2022

Pressure sensor placement is critical to system safety and operation optimization of water supply networks (WSNs). The majority of existing studies focuses on sensitivity or burst identification ability of monitoring systems based on certain specific operating conditions of WSNs, while nodal connectivity or long-term hydraulic fluctuation is not fully considered and analyzed. A new method of pressure sensor placement is proposed in this paper based on Graph Neural Networks. The method mainly consists of two steps: monitoring partition establishment and sensor placement. (1) Structural Deep Clustering Network algorithm is used for clustering analysis with the integration of complicated topological and hydraulic characteristics, and a WSN is divided into several monitoring partitions. (2) Then, sensor placement is carried out based on burst identification analysis, a quantitative metric named “indicator tensor” is developed to calculate hydraulic characteristics in time series, and the node with the maximum average partition perception rate is selected as the sensor in each monitoring partition. The results showed that the proposed method achieved a better monitoring scheme with more balanced distribution of sensors and higher coverage rate for pipe burst detection. This paper offers a new robust framework, which can be easily applied in the decision-making process of monitoring system establishment.
Development of a Distributed Mathematical Model and Control System for Reducing Pollution Risk in Mineral Water Aquifer Systems
Authors: Martirosyan Alexander V. , Ilyushin Yury V. , Afanaseva Olga V.
Published: January 2022

The article is devoted to the problem of the growing need of the mineral water fields’ exploitation process automation. The implementation of control systems and mathematical modeling methods can significantly reduce the fields’ structural integrity violation and pollution of aquifers risks. This research is especially relevant for the fields with difficult conditions of mineral waters occurrence, since the insufficient accuracy of determining the fields’ operating mode parameters can lead to a severe incident. The article describes a distributed mathematical model developed from the geo-filtration equation. Based on this model, a new method for assessing the mutual influence of the fields, the production of which is carried out from one aquifer, is presented. For a more detailed study of the operating mode parameters influence on the object a physical model of the reservoir was developed. The using of Arduino sensors and the developed software allows us to construct a 3D graph of the input action and its response at the different points of the object as temperature distribution. The simulation results make it possible to use the proposed model for the automatic control system synthesis.
Stress-Testing Framework for Urban Water Systems: A Source to Tap Approach for Stochastic Resilience Assessment
Authors: Nikolopoulos Dionysios , Kossieris Panagiotis , Tsoukalas Ioannis , Makropoulos Christos
Published: January 2022

Optimizing the design and operation of an Urban Water System (UWS) faces significant challenges over its lifespan to account for the uncertainties of important stressors that arise from population growth rates, climate change factors, or shifting demand patterns. The analysis of a UWS’s performance across interdependent subsystems benefits from a multi-model approach where different designs are tested against a variety of metrics and in different times scales for each subsystem. In this work, we present a stress-testing framework for UWSs that assesses the system’s resilience, i.e., the degree to which a UWS continues to perform under progressively increasing disturbance (deviation from normal operating conditions). The framework is underpinned by a modeling chain that covers the entire water cycle, in a source-to-tap manner, coupling a water resources management model, a hydraulic water distribution model, and a water demand generation model. An additional stochastic simulation module enables the representation and modeling of uncertainty throughout the water cycle. We demonstrate the framework by “stress-testing” a synthetic UWS case study with an ensemble of scenarios whose parameters are stochastically changing within the UWS simulation timeframe and quantify the uncertainty in the estimation of the system’s resilience.
Key Factors for Activated Carbon Adsorption of Pharmaceutical Compounds from Wastewaters: A Multivariate Modelling Approach
Authors: Viegas Rui M. C. , Mestre Ana S. , Mesquita Elsa , Machuqueiro Miguel , Andrade Marta A. , Carvalho Ana P. , Rosa Maria João
Published: January 2022

Projection to Latent Structures (PLS) regression, a generalization of multiple linear regression, is used to model two datasets (40 observed data points each) of adsorption removal of three pharmaceutical compounds (PhCs), of different therapeutic classes and physical–chemical properties (carbamazepine, diclofenac, and sulfamethoxazole), from six real secondary effluents collected from wastewater treatment plants onto different powdered activated carbons (PACs). For the PLS regression, 25 descriptors were considered: 7 descriptors related to the PhCs properties, 10 descriptors related to the wastewaters properties (8 related to the organic matrix and 2 to the inorganic matrix), and 8 descriptors related to the PACs properties. This modelling approach showed good descriptive capability, showing that hydrophobic PhC-PAC interactions play the major role in the adsorption process, with the solvation energy and log Kow being the most suitable descriptors. The results also stress the importance of the competition effects of water dissolved organic matter (DOM), namely of its slightly hydrophobic compounds impacting the adsorption capacity or its charged hydrophilic compounds impacting the short-term adsorption, while the water inorganic matrix only appears to impact PAC adsorption capacity and not the short-term adsorption. For the pool of PACs tested, the results point to the BET area as a good descriptor of the PAC capacity, while the short-term adsorption kinetics appears to be better related to its supermicropore volume and density. The improvement in these PAC properties should be regarded as a way of refining their performance. The correlations obtained, involving the impact of water, PhC and PAC-related descriptors, show the existence of complex interactions that a univariate analysis is not sufficient to describe.
Spatiotemporal Analysis on the Teleconnection of ENSO and IOD to the Stream Flow Regimes in Java, Indonesia
Authors: Nugroho Adam Rus , Tamagawa Ichiro , Harada Morihiro
Published: January 2022

While many studies on the relationship between climate modes and rainfall in Indonesia already exist, studies targeting climate modes’ relationship to streamflow remain rare. This study applied multiple regression (MR) models with polynomial functions to show the teleconnection from the two prominent climate modes—El Niño–Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD)—to streamflow regimes in eight rivers in Java, Indonesia. Our MR models using data from 1970 to 2018 successfully show that the September–November (SON) season provides the best predictability of the streamflow regimes. It is also found that the predictability in 1970–1989 was better than that in 1999–2018. This suggests that the relationships between the climate modes and streamflow in Java were changed over periods, which is suspected due to the river basin development. Hence, we found no clear spatial distribution patterns of the predictability, suggesting that the effect of ENSO and IOD are similar for the eight rivers. Additionally, the predictability of the high flow index has been found higher than the low flow index. Having elucidated the flow regimes’ predictability by spatiotemporal analysis, this study gives new insight into the teleconnection of ENSO and IOD to the Indonesian streamflow.
Evaluation of a Peroxide-Based Algaecide for Cyanobacteria Control: A Mesocosm Trial in Lake Okeechobee, FL, USA
Authors: Pokrzywinski Kaytee L. , Bishop West M. , Grasso Christopher R. , Fernando Brianna M. , Sperry Benjamen P. , Berthold David E. , Laughinghouse Haywood Dail , Van Goethem Erika M. , Volk Kaitlin , Heilman Mark , Getsinger Kurt D.
Published: January 2022

A 72 h small-scale trial was conducted in enclosed mesocosms in the Lake Okeechobee waterway to evaluate the effectiveness of a USEPA-registered peroxide-based algaecide (formulated as sodium carbonate peroxyhydrate) for controlling a natural cyanobacteria population. Mesocosms were initially subjected to either no algaecide or the maximum label rate of 10 mg H2O2·L−1. A subset of mesocosms were then subjected to a sequential application of 5 mg H2O2·L−1 at 48 h after initial treatment. Following application, peroxide concentrations rapidly decreased and were undetectable by 48 h. At 24 h after treatment, significant decreases in all biomass indicators were observed (compared to untreated mesocosms), including extracted chlorophyll a, microscopic counts (total phytoplankton and total cyanobacteria), and cyanobacteria-specific 16S rRNA gene copies by over 71%. Although peroxide treatment reduced cyanobacteria biomass, there was no change in overall community structure and the remaining population was still dominated by cyanobacteria (>90%). After 48 h exposure, some biomass recovered in single application mesocosms resulting in only a 32–45% reduction in biomass. Repeated peroxide dosing resulted in the greatest efficacy, which had a sustained (60–91%) decrease in all biomass indicators for the entire study. While a single application of the peroxide was effective in the first 24 h, a sequential treatment is likely necessary to sustain efficacy when using this approach to manage cyanobacteria in the field. Results of this study support that this peroxide-based algaecide is a strong candidate to continue with scalable field trials to assess its potential future utility for operational management programs in the Lake Okeechobee waterway.
Plunging Circular Jets: Experimental Characterization of Dynamic Pressures near the Stagnation Zone
Authors: Jamet Grégoire , Muralha António , Melo José F. , Manso Pedro A. , De Cesare Giovanni
Published: January 2022

Spillways are a requirement for dams’ safety, mainly preventing overtopping during floods. A common spillway solution involves plunging jets, which dissipate a considerable flow energy in the plunge pool. Energy dissipation has to occur in a controlled manner to avoid endangering the dam foundation and river slopes. Indeed, a scouring process in the downstream riverbed will inevitably develop until equilibrium is reached, otherwise a suitable pre-excavated or concrete lined plunge pool has to be provided. This paper focuses on experimental studies in which particular attention was paid to the dynamic pressures in the plunge pool floor at the vicinity of the jet stagnation zone sampled at 2.4 kHz. A rectangular experimental facility, 4.00 m long and 2.65 m wide, was used as plunge pool. Tests involved a vertical circular plunging jet with velocity ranging from 5 to 18 m/s and plunge pool depth ranging from 4.2 to 12.5 jet diameters. Differences in dynamic pressure measurements are highlighted between transducers located in the inner and outer regions of the jet diameter footprint. Several parameters characterizing the dynamic pressures evidence trends tied with the jet velocity that, to the authors’ knowledge, were not dealt in previous research. These can derive from the coupling effects of consequent recirculating motions and air entrainment in the limited-size plunge pool. Both effects, increasing with velocity, cause an reduction in the efficiency of the diffusing jet shear layer. This aspect deserves further investigation to achieve a better understanding and more complete characterization.
Three-Dimensional Hydrostatic Curved Channel Flow Simulations Using Non-Staggered Triangular Grids
Authors: Zhang Wei , Uh Zapata Miguel , Pham Van Bang Damien , Nguyen Kim Dan
Published: January 2022

Non-staggered triangular grids have many advantages in performing river or ocean modeling with the finite-volume method. However, horizontal divergence errors may occur, especially in large-scale hydrostatic calculations with centrifugal acceleration. This paper proposes an unstructured finite-volume method with a filtered scheme to mitigate the divergence noise and avoid further influencing the velocities and water elevation. In hydrostatic pressure calculations, we apply the proposed method to three-dimensional curved channel flows. Approximations reduce the numerical errors after filtering the horizontal divergence operator, and the approximation is second-order accurate. Numerical results for the channel flow accurately calculate the velocity profile and surface elevation at different Froude numbers. Moreover, secondary flow features such as the vortex pattern and its movement along the channel sections are also well captured.
Quantitative Analysis of Droplet Size Distribution in Plant Protection Spray Based on Machine Learning Method
Authors: He Yong , Wu Jianjian , Fu Haoluan , Sun Zeyu , Fang Hui , Wang Wei
Published: January 2022

Spray droplet size is the main factor affecting the deposition uniformity on a target crop. Studying the influence of multiple factors on the droplet size distribution as well as the evaluation method is of great significance for improving the utilization of pesticides. In this paper, volume median diameter (VMD) and relative span (RS) were selected to evaluate the droplet size distribution under different hollow cone nozzles, flow rates and spatial positions, and the quantitative models of VMD and RS were established based on machine learning methods. The results showed that support vector regression (SVR) had excellent results for VMD (Rc = 0.9974, Rp = 0.9929), while multi-layer perceptron (MLP) had the best effect for RS (Rc = 0.9504, Rp = 0.9537). The correlation coefficient of the prediction set is higher than 0.95, showing the excellent ability of machine learning on predicting the droplet size distribution. In addition, the visualization images of the droplet size distribution were obtained based on the optimal models, which provided intuitive guidance for realizing the uniform distribution of pesticide deposition. In conclusion, this study provides a novel and feasible method for quantitative evaluation of droplet size distribution and offers a theoretical basis for further determining appropriate operation parameters according to the optimal droplet size.
Research on the Influence Mechanism of Consumers’ Purchase Intention of Electric Vehicles Based on Perceived Endorsement: A Case Study of Chinese Electric Vehicle Start-Ups
Authors: Zang Yong , Qian Jue , Jiang Qianling
Published: January 2022

During the last decade, a number of electric vehicle start-ups have emerged in China. Although there have been quite a lot of studies on consumers’ purchase decision of electric vehicles, it is not common in the case of electric vehicle start-ups. This paper puts forward the concept of perceived endorsement and discusses the relationship among perceived benefit, perceived risk, range anxiety, attitude and consumers’ purchase intention and establishes a theoretical model of consumers’ purchase intention towards electric vehicles from start-ups. A structural equation model was used to test the research model and the hypotheses of the model. The results indicate that perceived endorsement has a significant positive influence on perceived benefit and attitude, which then affects consumers’ purchase intention, but range anxiety and perceived risk have no impact on purchase intention.
Multi-Terminal DC Grid with Wind Power Injection
Authors: Samaranayake Lilantha , Ugalde-Loo Carlos E. , Adeuyi Oluwole D. , Licari John , Ekanayake Janaka B.
Published: January 2022

With the development of offshore wind generation, the interest in cross-country connections is also increasing, which requires models to study their complex static and dynamic behaviors. This paper presents the mathematical modeling of an offshore wind farm integrated into a cross-country HVDC network forming a multi-terminal high-voltage DC (MTDC) network. The voltage source converter models were added with the control of active power, reactive power, frequency, and DC link voltages at appropriate nodes in the MTDC, resembling a typical cross-country multi-terminal type of HVDC scenario. The mathematical model for the network together with the controllers were simulated in MATLABTM and experimentally verified using a real-time digital simulator hardware setup. The resulting static and dynamic responses from the hardware setup agreed well with those from simulations of the developed models.
Safety Considerations for the Inpatient Medication-Use Process in Pediatric and Neonatal Patients
Authors: Elkeshawi Rowan , Maddox Katherine , Xenophontos Andriana , Hampson Kyle
Published: January 2022

The delivery of safe and effective healthcare to pediatric and neonatal patients presents unique challenges to the medication-use system. The diversity of patients within this population and the consequences of ontogeny on pharmacokinetics and pharmacodynamics directly impact the safe use of medications in children and increase the risk of adverse drug events.1 This review will explore the medication-use system for hospitalized children and neonates, discuss vulnerabilities within this system, and provide examples of advancements made to improve the pediatric medication-use system.
Regional Sampling of Forest Canopy Covers Using UAV Visible Stereoscopic Imagery for Assessment of Satellite-Based Products in Northeast China
Authors: Yu Tianyu , Ni Wenjian , Zhang Zhiyu , Liu Qinhuo , Sun Guoqing
Published: January 2022

Canopy cover is an important parameter affecting forest succession, carbon fluxes, and wildlife habitats. Several global maps with different spatial resolutions have been produced based on satellite images, but facing the deficiency of reliable references for accuracy assessments. The rapid development of unmanned aerial vehicle (UAV) equipped with consumer-grade camera enables the acquisition of high-resolution images at low cost, which provides the research community a promising tool to collect reference data. However, it is still a challenge to distinguish tree crowns and understory green vegetation based on the UAV-based true color images (RGB) due to the limited spectral information. In addition, the canopy height model (CHM) derived from photogrammetric point clouds has also been used to identify tree crowns but limited by the unavailability of understory terrain elevations. This study proposed a simple method to distinguish tree crowns and understories based on UAV visible images, which was referred to as BAMOS for convenience. The central idea of the BAMOS was the synergy of spectral information from digital orthophoto map (DOM) and structural information from digital surface model (DSM). Samples of canopy covers were produced by applying the BAMOS method on the UAV images collected at 77 sites with a size of about 1.0 km
2
across Daxing’anling forested area in northeast of China. Results showed that canopy cover extracted by the BAMOS method was highly correlated to visually interpreted ones with correlation coefficient (

r

) of 0.96 and root mean square error (RMSE) of 5.7%. Then, the UAV-based canopy covers served as references for assessment of satellite-based maps, including MOD44B Version 6 Vegetation Continuous Fields (MODIS VCF), maps developed by the Global Land Cover Facility (GLCF) and by the Global Land Analysis and Discovery laboratory (GLAD). Results showed that both GLAD and GLCF canopy covers could capture the dominant spatial patterns, but GLAD canopy cover tended to miss scattered trees in highly heterogeneous areas, and GLCF failed to capture non-tree areas. Most important of all, obvious underestimations with RMSE about 20% were easily observed in all satellite-based maps, although the temporal inconsistency with references might have some contributions.
Digital Storytelling as a Meaningful Learning Strategy in Online Learning
Authors: Rohayati Saptiwi , Drajati Nur Arifah , Nurkamto Joko
Published: January 2022

The purpose of this study was to ascertain students' perceptions of the use of digital storytelling as a meaningful learning strategy in an online environment at a senior high school in Indonesia. The case study method was used in this study, which included twenty-eleventh-grade students as participants. The data analyzed in this study come from a student questionnaire, a semi-structured interview, and five-week classroom observation. This qualitative study indicated that students viewed digital storytelling as an instructional method capable of involving them in an active, authentic, and purposeful learning environment. Additionally, digital storytelling enhances students' exposure to a variety of skills and collaborative work portfolios. The study's practical implications for teachers implementing digital storytelling are to allow additional time for content acquisition and comprehensive learning reflection.
Democratic Leadership and Its Impact on Teacher Performance
Authors: Raupu Sumardin , Maharani Deswita , Mahmud Hilal , Alauddin Alauddin
Published: January 2022

This study looks into the impact of the principal's democratic leadership style on teacher performance in junior high schools in Palopo City's Bara District. This study uses a quantitative approach with the type of research is ex-post facto. The population is all junior high school teachers in the Bara sub-district of Palopo city, totaling 134 people. Sampling was done by simple random sampling technique. The sample used was 39 teachers—data obtained through questionnaires and documentation. Furthermore, the research data were analyzed statistically using data processing, namely: Descriptive statistical analysis and inferential statistical analysis. This study found that the democratic leadership style displayed by the principal has a strong influence and significance on the performance of teachers in SMP/MTs in Bara District, Palopo City. This is because the leadership style displayed by the principal through several indicators can provide a significant enough stimulant to the teacher so that teachers' work motivation can increase adequately, which impacts the achievement of educational and learning goals in schools. This study implies the importance of the leadership style displayed by the principal in building teacher motivation and commitment in schools to generate optimal teacher performance in schools.
POSTERIOR SEGMENT PATHOLOGIES IN DENSE LENS CHANGES
Authors: Dasari Alekhya , Sundararajan Sundararajan , Singh Siddhartha
Published: January 2022

INTRODUCTION : B scan makes use of high frequency ultrasound waves which are reected back and
are converted to electric signals. The data which is not available from the clinical examination can be
visualised by using the ultrasound B-scan. It is of immense visual prognostic value to modify the surgical plan in eyes who have
hazy media.
AIM : Evaluation of posterior segment using ultrasound B scan(US-B) in patients with dense lens changes
Co relation of the type of dense lens changes with different posterior segment pathologies.
METHODOLOGY : Study sample : 100
Study period : 1st July 2019 to 31st June 2020
Study duration :12 months
Study area :All the patients presenting to Ophthalmology OPD at Meenakshi medical college and research institute ,
Kanchipuram ,Tamil Nadu.
RESULTS : Majority of the B-scans turned out to be normal in dense lens changes. Posterior vitreous detachment, Asteroid
hyalosis and Retinal detachment are the common abnormalities seen in the decreasing order of their occurrence.
ASSESSMENT OF NEONATAL OUTCOME IN BOOKED AND UNBOOKED PREGNANCY CASES IN A TERTIARY CARE CENTRE
Authors: Dey Pranoy , Lotha L. , Kumar Sahu Sawant , Borgohain Rajlakshmi
Published: January 2022

Majority of neonatal deaths occurs in low and middle income countries indicating poor quality of health
services provided by the government of the respective countries.In a developing country like India , a
high morbidity and mortality serves as an sensitive indicator reecting the poor maternal and child health care services of the
country.Most of the neonatal deaths can be attributed to avoidable factors which can be minimized by the effective utilization of
antenatal services , early detection of high risk pregnancy and timely referral of these cases.The current study was conducted to
determine the neonatal outcomes in booked and unbooked pregnancy cases in the tertiary care centre ,Assam Medical
College and Hospital, Dibrugarh.
METHODS: Close ended structured questionnaires were used to collect information from the parents (150 booked and 150
unbooked).Neonatal outcomes were categorised under groups of term and preterm ,live birth and stillbirts, birthweight,
Gestational age, iugr, large for gestational age APGAR score ,NICU admissions and clinical course during hospital
stay,course during rst 28 days of life along with complications,if any are all taken into consideration.
RESULTS: During the study period 28.67% had low birth weight in booked cases and 41.33% had low birth weight in unbooked
cases.The incidence of stillbirth and early neonatal deaths were 2%,4% respectively in booked cases and 4.67% , 6%
respectively in unbooked cases.Higher incidence of MSL,prematurity ,birth asphyxia ,respiratory problems ,birth
injuries,congenital malformations,infections and hyperbilirubinemia were seen in unbooked cases.
CONCLUSIONS: The inference derived from the study ,showed that availability of antenatal care is directly proportional to the
neonatal outcome .Thus unavailbility or lack of proper medical attention during the pregnancy results in unfavourable
neonatal outcomes which can be prevented by increasing the range of availability , utilization and effectiveness of maternal
and child health services alongwith ensuring booking of all the pregnancy cases in our country.
SHOORPANAKHA ON STAGE: LOOSENING THE NOOSE
Authors: Perla Artha
Published: January 2022

This qualitative research paper investigates how Bharatanatyam dancers recongure specic cultural
histories in their novel choreographies and practices. It considers two stage productions, Shoorpanakha
– Navarasa Gadhya by Karthik Hebbar and Shruti Gopal and Shoorpanakha – The Story Only She Nose! by Dakshina
Vaidyanathan Baghel. The paper intends to study how these dance labels contest the social and cultural norm from within the
traditional art form and from the outside lived- in cosmopolitan life. The discussion will intertwine with the exploration of gender
and identity through female characters from Indian mythology. While this paper argues that these artistes continually expand
the creative boundary, it also recognises that contemporary Bharatanatyam is in ux that culturally is of value.
SPO2/FIO2 RATIO AND TRIAGE SCORE IN PREDICTING OUTCOME OF CRITICALLY ILL CHILDREN
Authors: D Rohini , N Meghashree , Reddy M Mahendar , G.M Pranam
Published: January 2022

Introduction: Non-invasive nature of pulse oximetry allows much affordable, rapid assessment of
degree of hypoxemia and helps in identication of the patients at risk. Mortality in a pediatric intensive
care unit (PICU) depends on the severity of illness. A good scoring system for identifying the severity of illness can help to
prioritize care. Triage is sorting out of patients, the main objective of which is early patient assessment to obviate harmful delay
in the management.
Aims And Objectives: To predict the outcome of critically ill children in pediatric ICU by using the Triage scoring system and
Spo2/Fio2(SF) ratio.
Materials And Methods: A hospital based prospective observational study done at Navodaya Medical College Hospital &
Research Centre during January 2020 to June 2021 for a period of 18 months. A total of 125 children were studied. Data is
described in terms of mean (+SD), frequencies (number of cases) and percentages. Statistical analysis was done using SPSS
software version 26.
Results: Out of 125 children studied, 8 died. Except temperature, all other variables showed signicant association with
mortality (p <0.001). Mortality was 0%, 4.88%, 28.57%, 75%, 25% and 50% for scores of 0, 1, 2, 3, 4 and 5 respectively. Children of
score 3 or more had signicant high mortality. Among the 113 subjects who survived, mean SpO2/FiO2 ratio is 340 and among
12 subjects who died, SpO2/FiO2 ratio is 184. SpO2/FiO2 ratio is less among the children who died and can predict mortality.
Conclusions: Many deaths in under ve children occurring in hospitals can be prevented if triage is followed, if any sick
children are identied soon on their arrival and treatment is started immediately. SpO2/FiO2 ratio is a non-invasive and
reliable tool for hypoxemia screening and predicting outcome among patients admitted to the ED.
Penerapan model pembelajaran problem based instruction (pbi) untuk meningkatkan aktivitas dan prestasi belajar siswa
Authors: Sukarma I Ketut , Sani Ferdian Rizki
Published: January 2022

Salah satu masalah pembelajaran yang dihadapi siswa SMP Negeri 3 Jonggat khususnya kelas VIIIC semester II adalah pembelajaran yang masih didominasi oleh guru. Siswa hanya mendengakan materi yang disampaikan sehingga siswa kurang berpartisipasi dalam kegiatan pembelajaran, sehingga diperlukan suatu model pembelajaran yang mampu mendorong siswa berperan aktif dalam kegiatan pembelajaran. Penelitian ini bertujuan untuk meningkatkan aktivitas dan prestasi belajar siswa melalui penerapan model pembelajaran problem based instruction (pbi). Jenis penelitian ini adalah penelitian tindakan kelas yang dilakukan dalam II (dua) siklus dengan pendekatan kuantitatif dan kualitatif. Penelitian dilakukan pada 35 siswa kelas VIII SMP Negeri 3 Jonggat. Data penelitian dikumpulkan melalui observasi dan pemberian tes pada akhir siklus menggunakan instrumen lembar observasi kegiatan guru, lembar observasi aktivitas siswa, dan tes prestasi belajar. Hasil penelitian menunjukkan peningkatan aktivitas dan prestasi belajar siswa pada setiap siklus. Penjelasan terkait peningkatan aktivitas dan prestasi belajar siswa dijelaskan lebih rinci pada artikel ini. Kesimpulan dari penelitian ini menunjukkan bahwa penerapan model pembelajaran problem based instruction (pbi) dapat meningkatkan aktivitas dan prestasi belajar siswa kelas VIII semester II SMP Negeri 3 Jonggat pada materi pokok lingkaran.The implementation of problem based instruction (PBI) learning model to increase student activity and learning achievementAbstractOne of the learning problems faced by students of SMP Negeri 3 Jonggat, especially class VIIIC semester II, is that learning is still dominated by teachers. Students only listen to the material presented so that students do not participate in learning activities, so a learning model is needed that is able to encourage students to take an active role in learning activities. This study aims to increase student activity and learning achievement through the application of problem-based instruction (PBI) learning models. This type of research is a classroom action research conducted in II (two) cycles with quantitative and qualitative approaches. The research was conducted on 35 students of class VIII SMP Negeri 3 Jonggat. The research data were collected through observation and giving tests at the end of the cycle using the instrument teacher activity observation sheets, student activity observation sheets, and learning achievement tests. The results showed an increase in student activity and achievement in each cycle. An explanation related to increasing student activity and learning achievement is described in more detail in this article. The conclusion of this study shows that the application of the problem based instruction (pbi) learning model can increase the activity and learning achievement of students of class VIII semester II SMP Negeri 3 Jonggat on the subject matter of the circle.
Pengaruh Penggunaan Model Pembelajaran Inkuiri Terbimbing terhadap Prestasi Belajar Fisika Siswa SMP
Authors: Iskandar Jono , Gummah Syifaul , Prayogi Saiful , Asy'ari Muhammad
Published: January 2022

Pembelajaran di dalam kelas yang cenderung berpusat pada guru disinyalir menjadi penyebab rendahnya prestasi belajar siswa. Penggunaan mode pembelajaran yang tepat diharapkan mampu membuat siswa berperan aktif dalam proses pembelajaran. Penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran inkuiri terbimbing terhadap prestasi belajar fisika siswa. Jenis penelitian ini adalah quasi eksperimen dengan pretest-posttest control group design. Siswa pada kelas VIII4 (34 siswa) dijadikan sebagai kelompok eksperimen dan siswa pada kelas VIII6 (34 siswa) sebagai kelompok control yang dipilih menggunakan claster random sampling technique. Data penelitian dikumpulkan menggunakan instrumen tes objektif yang telah diuji validitas, reliabilitas, daya pembeda dan indeks kesukaran. Perbedaan prestasi belajar siswa dianalisis menggunakan uji-t setelah dinyatakan memenuhi uji prasyarat normalitas dan homogenitas data. Berdasarkan hasil analisis data, diperoleh skor rata-rata pretest kelompok eksperimen sebesar 36,17 dan kelompok kontrol sebesar 39,5. Sedangkan skor rata-rata posttest kelompok eksperimen sebesar 65,41 dan kelas kontrol sebesar 50. Hasil uji-t menunjukkan thitung = 6,07 > ttabel = 2,00, sehingga dapat disimpulkan bahwa penggunaan metode pembelajaran Inkuiri Terbimbing berpengaruh secara signifikan terhadap prestasi belajar fisika siswa SMP. The Effect of the Use of Guided Inquiry Learning Model on the Physics Learning Achievement of Junior High School Students Abstract Learning in the classroom that tends to be teacher-centered is allegedly the cause of the low student achievement. The use of appropriate learning modes is expected to be able to make students play an active role in the learning process. This study aims to determine the effect of the guided inquiry learning model on students' physics learning achievement. This type of research is a quasi-experimental with a pretest-posttest control group design. Students in class VIII4 (34 students) were used as the experimental group and students in class VIII6 (34 students) as the control group were selected using the cluster random sampling technique. The research data were collected using an objective test instrument that had been tested for validity, reliability, discriminatory power and difficulty index. Differences in student achievement were analyzed using t-test after being declared to meet the prerequisite tests for normality and data homogeneity. Based on the results of data analysis, the average pretest score of the experimental group was 36.17 and the control group was 39.5. While the posttest average score of the experimental group is 65.41 and the control class is 50. The t-test results show tcount = 6.07 > ttable = 2.00, so it can be concluded that the use of guided inquiry learning model has a significant effect on junior high school students’ physics learning achievement.
Keterampilan Berpikir Tingkat Tinggi Siswa dalam Pembelajaran Inkuiri dengan Simulasi PheT: Studi Pendahuluan
Authors: Verawati Ni Nyoman Sri Putu , Sukaisih Roniati
Published: January 2022

Penelitian ini bertujuan untuk mengidentifikasi keterampilan berpikir tingkat tinggi siswa (HOTs) dengan indikatro analisis, evalusi, dan mencipta dalam pembelajaran inkuiri dengan simulasi PhET. Penelitian ini merupakan pre-eksperimental dengan one-group pretest-posttest design yang melibatkan 32 siswa sebagai subjek penelitian. Data keterampilan berpikir tingkat tinggi siswa dikumpulkan menggunakan instrument test berbentuk uraian. Keterampilan berpikir tingkat tinggi siswa dianalisis secara deskriptif menggunakan persamaan n-gain dan statistic menggunakan uji paired t-test dan Wilcoxon test dengan bantuan software IBM SPSS versi 23. Hasil penelitian menunjukkan pembelajaran inkuiri dengan simulasi PhET berpengaruh signifikan (p < 0,05) terhadap keterampilan berpikir tingkat tinggi siswa. Hasil analisis peningkatan (n-gain) HOTs siswa juga menunjukkan peningkatan indicator analisis berkategori tinggi (n-gain= 0,8), sedangkan indicator evaluasi dan indicator mencipta berkategori sedang (n-gain= 0,7 dan n-gain= 0,6). Berdasarkan temuan tersebut dapat disimpulkan bahwa pembelajaran inkuiri dengan simulasi PhET dapat meningkatkan keterampilan berpikir tingkat tinggi siswa pada materi bentuk dan perubahan energy. Students' Higher Order Thinking Skills in Inquiry Learning with PheT Simulation: Pre-Experimental Study Abstract This study aims to identify students' higher order thinking skills (HOTs) with indicators of analysis, evaluation, and creation in inquiry learning with PhET simulation. This research is a pre-experimental with one-group pretest-posttest design involving 32 students as research subjects. Data on students' higher order thinking skills were collected using a test instrument in the form of a description. Students' higher order thinking skills were analyzed descriptively using the n-gain equation and statistically using the paired t-test and Wilcoxon test with the help of IBM SPSS version 23 software. The results showed that inquiry learning with PhET simulation had a significant effect (p < 0.05) on students' higher order thinking skills. The results of the analysis of the increase (n-gain) of students' HOTs also showed an increase in the analytical indicators in the high category (n-gain = 0.8), while the evaluation and creation indicators were in the medium category (n-gain = 0.7 and n-gain = 0, 6). Based on these findings, it can be concluded that inquiry learning with PhET simulation can improve students' higher order thinking skills on the form and change of energy.