bluuebunny/crossref_metadata_2025 huggingface dataset:
Monitoring and mapping noise levels of university campus in central part of India
Authors: Kumar Vishal , Ahirwar Ajay Vikram , Prasad A. D.
Published: February 2023

Introduction: Each one of us is directly or indirectly exposed to noise pollution in our daily life. Noise has chronic effect on the human but many of us are not aware. In our modern research platform very few studies are available for monitoring and mitigating of noise pollution compared to other environmental pollution.
Materials and methods: This study has been designed to monitor, map the noise pollution in educational institute and find out the sources of noise followed by identification of hot spot. In this regards National Institute of Technology Raipur, Chhattisgarh, India was selected as study area. Noise levels measurements were carried out at 15 locations within the study area at time intervals of forenoon (9:30 – 10:30 AM), noon (12:30-1:30 PM) and afternoon (4:30-5:30 PM) for 5 days of the week (working days). Using GIS tool observed noise levels were interpolated by Inverse Distance Weighted (IDW) method and graphical plots were prepared for different time intervals.
Results: Noise Levels were found to be between 46 dBA to 72.08 dBA during our study. Sources contributing to higher levels of noise in the premises were traffic, honking of trains followed by students themselves. On comparing the finding with Central Pollution Control Board, New Delhi, India (CPCB) standards all the locations recorded higher noise levels than the prescribed limits.
Conclusion: Based on our finding, mitigating approaches like: plantation of trees, construction of noise barriers, proper parking area, restricting high speed of vehicles etc. were suggested for making a healthy learning environment.
Road traffic-induced particle matter dispersion in a calm wind environment at the main roundabout in Douala, central Africa
Authors: Ngangmo Yannick Cedric , Adiang Cyrille Mezoue , Choudhary Arti , Monkam David
Published: February 2023

Introduction: Road traffic emissions are among the most significant sources of pollution in Douala, Cameroon's economic town, alongside industrial operations. The morning and the evening are two times of the day when traffic is heavier and the winds are also at their calmest. The majority of the non-exhaust Particulate Matters (PMs) produced by autos is re-suspended road contaminants. The purpose of this research is to estimate fine particle dispersion in conditions of calm winds.
Materials and methods: In one of Douala's roundabouts, the Gaussian Plume model is employed to calculate the PM concentration under calm winds conditions. Different vehicle classes (HDV: Heavy Duty Vehicles, LDV: Light Duty Vehicles, PC: Passenger Cars) are used to figure out the amount of PMs they produce. Measurements of ambient fine particle concentrations are made with the OC-300 laser dust particle detector.
Results: The results made it possible to compare actual measurements of PM2.5, PM10 (300±150 μg/m3 and 650±150 μg/m3, respectively) with simulated values (PM2.5, PM10: 310 μg/m3 and 631 μg/m3, respectively). The difference between in-situ and computed values can range from 10 to 132 μg/m3. From 6 to 10 AM, the population's exposure to PM pollution is more severe. It has also been demonstrated that there is a significant association between traffic flow and PM Concentration during the dry season (R2=0.921). With increased traffic flow intensity, particle concentration levels rise.
Conclusion: The concentration threshold stays above the World Health Organization (WHO) limits regardless of the approach. Furthermore, this paper provides important information about Douala's pollution levels.
A study to access and estimation of air pollution using a multivariate statistical model in Chennai, India
Authors: Muthulakshmi Yuvaraj Ramachandran , Mathivanan Sakthivel , Sindhumol Marangattu Raghavan
Published: February 2023

Introduction: Rapid urbanization and industrial growth are the primary causes of deteriorating urban air quality in developing countries, including India. Vehicular emission is a significant cause of the degradation of air quality. It includes Air Pollution like carbon monoxide, hydrocarbons, oxides of nitrogen, oxides of sulfur, Suspended Particulate Matter (SPM), respiratory Particulate Matters (PM2.5 and PM10), and lead.
Materials and methods: The study has considered land use,land cover, land surface temperature, vegetation, literacy rate, vehicle population, population density, and households, finding the responsible causes of air pollutionfor the analysis. Supervised classification using ArcGIS for extracting land use and land cover, Least Slack Time (LST) algorithms have used to extract land surface temperature, spatial interpolation methods like Inverse Distance Weighting (IDW) using ArcGIS for identifying the spatial distribution of Literacy rate, vehicle population, population density and households and finally the multivariate statistical model applied to identify the major responsible factor for air pollution using SPSS.
Results: The study reveals that the particulate matter is below the standard value prescribed by the central pollution control board. The Highest air pollution is primarily responsible for vehicle population and industries. Wednesday and Thursday are the maximum pollution in Chennai, whereas it was recorded as very low on Sunday as compared to other days.
Conclusion: Regression shows that the vehicle population is responsible for air pollution, followed by the population.
House environmental conditions with the event of acute respiratory infection (ARI) in toddlers in Indonesian: A meta-analysis
Authors: Addin Rizaldi Muhammad
Published: February 2023

Acute Respiratory Infection (ARI) is an infection that attacks the lower or upper respiratory tract and has the potential to be transmitted to other people. It depends on the causative pathogen and home environmental factors which affect it. The study analyzes the relationship between home environmental conditions, including ventilation, humidity, floors, residential density, and smoking habits, with the incidence of Acute Respiratory Infection (ARI) in Toddlers in Indonesia by conducting a meta-analysis of data from various research articles. The method in this study is a meta-analysis by finding the effect size value using JASP software. Articles performed a meta-analysis of 25 articles. The results of the meta-analysis found that the variable density of residential has 1,135 times larger, 1,665 times greater ventilation,
1.568 times greater, and the floor conditions 1,309 times larger, as well as the habit sapped. The conclusion from the results of this study shows that the condition of the home environment that has the most influence is the humidity of the house, and the one with the lowest risk is residential density. Suggestions for controlling risk, providing community education, and assistance for healthy homes.
Potential Economic Value of Water Resource Sustainability for Sustainable Environment: A Case Study in South Sumatra, Indonesia
Authors: Juniah Restu , Toha M. Taufik , Zakir Syaifudin , Rahmi Hisni
Published: February 2023

Erosion in coal mining land causes water quantity and quality depletion and inadequate drinking water resources for surrounding communities, making water resources unsustainable. Meanwhile, reclamation reduces erosion but cannot restore water depletion optimally; thus, these resources remain unsustainable. These resources remain unsustainable. The objectives of this study were to develop a water resource sustainability concept for a sustainable environment by analyzing the potential economic value and, secondly, to calculate the water resource value due to erosion, reclamation, and domestic and economic importance, of recycling efforts. The method used in this study was the Expanded NPV. Furthermore, the total potential economic value of water resources loss resulting in unsustainability was IDR 1,137,621,671,375 or IDR 1.14 trillion. In contrast, the potential economic value of depleted water utilization for drinking was IDR 2,298,339,797,000 or IDR 2.3 trillion. Therefore, this utilization provides a potential economic value worth IDR 1.16 trillion for the resourcesâ€™ sustainability in the TAL area of PTBA. The study found and recommended depleted water utilization for drinking as a suitable method to replace water resources lost due to erosion and community drinking water resource loss and to discover a sustainable environmentâ€™s sustainability concept. In addition, the study formulates environmental economics as a new mining science related to natural resource economics and mining for sustainable water resources and the mining environment.
Causes of Landslides in Road Embankment with Retaining Wall and Pile Foundation: A Case Study of National Road Project in Porong-Sidoarjo, Indonesia
Authors: K. Sari Putu Tantri , Mochtar Indrasurya B.
Published: February 2023

This study was conducted to determine the cause of landslides in the toll road embankment of the national road project in the Porong-Sidoarjo area. The landslide was observed only on the north side of the embankment, with a maximum height of 7.8 meters from the subgrade despite the reinforcement with a retaining wall and pile foundation. The land shift and subsidence on the Northside led to a decline in the embankment elevation and the displacement to a maximum depth of 3.50 m. Back analysis through the limit equilibrium method was used to determine the strength of the existing reinforcement against the landslide. The results showed that the heavy rain was indeed one of the causes of landslides in the location, while the main cause was the depth of soft soil, much deeper than those in the surrounding locations. This is why a severe landslide was recorded on one side of the embankment. Moreover, the existing anti-slide pile reinforcement was discovered not to be sufficient due to its shallower length compared to the area of the landslide, and this was associated with the absence of overall stability analysis in this design. The findings showed that it is necessary to conduct a comparative study between the overall stability and the active and passive forces analyses for the soil to produce the safest design required to avoid landslides.
The Effect of Consequences in Utilizing Real Estate Investment Trust (REIT) on Property Development
Authors: Rahmawati Yani , Sari Ayu Fatimah , Utomo Christiono
Published: February 2023

There are many financing sources in the property development investment process. Conventional financing often produces an un-optimal and unprofitable cost of capital. Real Estate Investment Trust (REIT) is one of the alternative financings that has been applied in global property projects. This financing strategy can be used as an option in property development in Indonesia. Real estate companies in Indonesia understand the development of REITs and also the advantages of using REITs. But still doubtful about the implementation. This study examines the consequences of using REIT and its influence on financing for developers. Two research methods were carried out. The first is a meta-analysis to determine the consequences of using REITs based on previous research, and the second is a questionnaire survey to confirm the results of the meta-analysis to the respondents of developer companies in Surabaya. Data were then analyzed using multiple linear regression. The findings indicate that the consequences of REITs are tax advantage, financial report transparency, 90% dividend distribution obligations, and the need to enter the capital market or acquire property. Then from the statistical results, it is found that the necessity to enter the capital market or acquire property is the most significant consequence of the decision to use REIT. These consequences affect the decision to use REIT by 40.4%, which means that the effect is considered weak, and all of the independent variables positively influence the dependent variables.
Characteristics of Phenotypes of Local Goat Quantitative Properties in East Kolaka Regency, Indonesia
Authors: Pagala Muhammad Amrullah , Rahim Aka , Aku Achmad Selamet , Sani La Ode Arsad , Munadi La Ode Muh , Melisa - , Yamin Yaddi
Published: February 2023

Goats are a type of livestock that most people mostly keep to produce meat and milk to meet the protein needs of animal origin. Even local goats, such as kacang and jawarandu goats in East Kolaka Regency are used as a source of community income, especially education costs. This study aims to determine the quantitative characteristics of local goats in the East Kolaka Regency, carried out in three sub-districts: Ladongi District, Lambandia District, and Uluiwoi District, from January to April 2021. The research sample was 496 male and female local goats grouped by age < 1 year to > 3 years to determine quantitative characteristics in the form of bodyweight, chest circumference, shoulder height, and body length. Data and information were tabulated and analyzed descriptively, and a T-test was performed. The results of T-test analysis for body weights of kacang and jawarandu goats in the age group showed significant differences (P36 months, including chest circumference, shoulder height, and body length, while the diversity of head sizes of kacang and jawarandu goats including head length, head width, ear length, and ear width there was no significant difference (P>0, 05) between the head length of male and female goats aged 6-12 months, 13-24 months, 25-36 months and >36 months. So, it can be concluded that between kacang and jawarandu goats, there are differences in quantitative characteristics.
Recognition of Agricultural Land-Use Change with Machine Learning-Based for Regional Food Security Assessment in Kulon Progo Plains Area
Authors: Nisa Zulfa Khoirun , Pradipta Ansita Gupitakingkin , Sholikah Liana Ni'mathus , Pratama Bangkit Fatwa , Prihanantya Akram Sripandam , Ngadisih - , Susanto Sahid , Arif Sigit Supadmo
Published: February 2023

High conversion of agricultural land in Kulon Progo Regency, as such the construction of the Yogyakarta International Airport (YIA) and the Bedah Menoreh road, has resulted in food production and impacted food security, including Kulon Progo plains area. This study aimed to calculate the conversion rate of agricultural land and analyze its impact on food security in the Kulon Progo plains area from 2005 to 2020. The primary materials needed are Kulon Progo administrative maps, Landsat 7 and 8 images, land productivity data, population data, and consumption per capita data. With tools used is Google Earth Engine (GEE), SPSS 25, Google Earth Pro, and ArcGIS 10.3. The method used is calculating the Normalized Difference Vegetation Index (NDVI) and machine learning-based classification through GEE to identify land-use change and analyze the state of food security. The study proved that between 2015 and 2020, there was a conversion of paddy fields, with an average rate of 126 ha/year. The existence of new paddy fields influenced this land increase. However, in 2020 there is still food insecurity in Pengasih District, thus caused by the new paddy fields not being optimally used for rice growth. The productivity of the land produced is not optimal. With the availability of agricultural land in 2020 (1382.85 ha), food self-sufficiency will be limited for the next 24.75 years if there is no effort to increase paddy fields.
The Effect of Ratio of Methanol and Concentration of Methanol in Corn Silk Extracts with Ultrasonic-assisted Extraction
Authors: Haslina - , Larasati Dewi , Iswoyo - , Suriani Ni Luh , Nazir Novizar
Published: February 2023

Cornsilk refers to stigmas of female maize flowers. Corn silk contains abundant flavonoids. Flavonoids show a variety of biological activities, such as antioxidants. Several methods, such as microwave, ultrasonic, supercritical fluid extraction, and multiple extraction technologies, were used to extract flavonoids from corn silk. The ultrasonic-assisted extraction method (UAE) seems to be very reliable among these methods. UAE has the advantage of simplicity and can be easily implemented with other extraction techniques. Hence, the current study aimed to determine the effect of the ratio (material: methanol) and concentration of methanol corn silk extracts in UAE. The experimental design used was a factorial Randomized Completely Block Design (RCBD) with two factors and three replications for each treatment. The two treatments were: A1=methanol (1:4) (w/v), A2=methanol (1:6) (w/v), A3=methanol (1:8) (w/v) and methanol concentration (60, 70 and 80%). Results showed that the ratio of methanol and concentration had a significant effect (p
Modeling of Strategic Alignment to Modify TOGAF Architecture Development Method Based on Business Strategy Model
Authors: Maulana Yoppy Mirza , M Azmi Zafril Rizal , Arshah Ruzaini Abdullah
Published: February 2023

Strategic alignment is generally seen as an important driver for optimizing business performance. Strategic alignment is aligning internal resource capabilities and external opportunities for superior performance. To realize the suitability of Business and IT strategies, a framework is needed, namely Enterprise Architecture (EA). One of the frameworks for EA is The Open Group Architecture Framework (TOGAF). TOGAF is a method for developing and managing the Enterprise Architecture life cycle called Architectural Development Method (ADM). This ADM integrates elements of the TOGAF standard in responding to the organization's business, and IT needs. In this paper, researchers will contribute to formulating a strategic alignment model to modify the existing strategic alignment in TOGAF ADM based on the business strategy model. In this business model strategy, there are two things: the analysis of business strategy choices and the Balanced Score Card (BSC) strategy map. Analysis of business strategy choices uses SWOT analysis as a business strategy determination based on internal and external business environment analysis. Second, the BSC strategy map is a process of mapping business strategies into the BSC strategy map, which includes four perspectives: financial, customer, internal business processes, and learning and growth perspectives. This model was tested at the Universitas Dinamika, and the results have a good alignment rate of 95%. For further research, this model can be tested in various organizations, such as universities and public and private organizations.
The Effect of pH on Contamination Reduction and Metabolite Contents in Mass Cultures of Spirulina (Arthrospira platensis Gomont)
Authors: Mufidatun Anita , Koerniawan Mochamad D. , Siregar Ulfah J. , Suwanti Lucia T. , Budiman Arief , Suyono Eko Agus
Published: February 2023

The microalgae Spirulina (Arthrospira platensis Gomont) is already cultured commercially using open ponds. The obstacle to mass cultivation of Spirulina is maintaining the monoculture without any contamination that can affect biomass products and their metabolites. The tolerance of Spirulina to environmental changes, such as changes in pH conditions, can be used as a method to overcome contamination in Spirulina mass cultivation. The growth contaminant can be avoided or controlled by giving mechanical stress by modifying the pH to alkaline levels. The efficient use of cost-effective materials in mass cultivation prevents contamination and maintains Spirulina's productivity. This study investigated the optimal pH parameters of 7â€“11 for 10 days. Cell density and dry biomass were measured daily using a hemocytometer and filter paper Whatman. The growth rate of contaminant microorganisms was carried out every five days along ten days of cultivation using the Total Plate Count (TPC) method. Using pH 9 effectively increased the cell density significantly (9.12Â±1.02%) and dry biomass (17.31Â±4.19 g.mLâˆ’1), reducing the contaminants in Spirulina mass cultures. The metabolite content was measured, including total protein using the Kjeldahl method, total lipid using the Soxhlet method, and pigmentations (such as chlorophyll, carotene, and phycocyanin) using spectrophotometry. The pH scale 8â€“10 can increase protein, lipid, and pigmentations. However, the pH 11 decreased almost entirely as a result of the metabolite contents of Spirulina.
Environmental Impact Assessment in the Synthesis of Antistatic Bionanocomposite Compared with the Synthesis of Polypropylene
Authors: Sarfat Muhammad Syukur , Setyaningsih Dwi , Fahma Farah , Indrasti Nastiti Siswi , Sudirman -
Published: February 2023

This study aims to identify the environmental impact in the synthesis of antistatic bionanocomposites compared to polypropylene synthesis. It is done using the Life Cycle Assessment (LCA) method with SimaPro 9.1.1 software. The results showed that using 2% of M-DAG and 2.5% of CNC in the synthesis of antistatic bionanocomposites can reduce the environmental impact compared with the synthesis of PP. This is indicated by the decline in the impact value per impact categories, namely 4.46% of ADP, 3.70% of ADP-FF, 4.21% of GWP, 4.48% of ODP, 4.63% of HTP, 5.10% of FWAEP, 4.84% of MAEP, 2021% of TEP, 4.08% of POP, 4.41% of AP, and 4.85% of EP. After normalization of the impact category, the total environmental impact per function unit in antistatic bionancomposite synthesis is smaller than PP synthesis, with a percentage reduction of the environmental impact of 4.58%. The efficient use of energy and natural resources is considered necessary to reduce the environmental impact per kg of antistatic bionanocomposite pellets. The higher percentage of reduced by products, the lower total environmental impact per kg of antistatic bionanocomposite pellets. The application of reuse, reduce, and recycle methods on co-products from antistatic bio-nanocomposite synthesis needs to be done because it positively impacts the environment. Further research needs to be carried out to identify environmental impacts in synthesizing antistatic bionanocomposites in a wider scope of the study, namely cradle to grave, if possible.
Developing Touchless Dispenser System Based on IoT to Support Hydration Needs for University Students in New Normal Phase in Indonesia
Authors: Ahnaf Fuhaidy Hafiizhan , Atmaja Denny Sukma Eka , Rachmat Haris , Hambali Muhammad Agung
Published: February 2023

Following the global pandemic of COVID-19, in August 2021, Indonesia achieved a total of 3.930.300 cases, the highest in Southeast Asia. However, the government is keen on promoting the new normal phase and planning to open schools and permit face-to-face learning, from elementary up to universities. This means that public facilities and infrastructures will be used and can be the medium for virus transmission, as it will require 48 to 72 hours for the virus to be inactive on those surfaces. This will make people reluctant to touch surfaces, especially when it comes to public facilities that can provide for their needs. One of the most important is the need for hydration which is often overlooked. About 25% of college students were found dehydrated, and 37,5% showed signs of it. Dehydration could prove a serious threat to health had it been overlooked and could affect physical and cognitive performance, having more effects on students and lectures, requiring both in their activities. To support the needs of hydration amidst the pandemic, this research developed a touchless water dispenser system using the waterfall model, utilizing a cloud database with ESP32, controlled by users through an android application. The design is easy and cheap to install, even on regular dispensers, making it an effective and efficient alternative public facility providing hydration service to support the new normal phase.
Rietveld Refinement Analysis of Lampung Natural Zeolite Catalyst Impregnated Fe with Diffraction Method Using MAUD Software
Authors: Adhani Lisa , Fauzi Ahmad , Navanti Dovina , Lestari Tyastuti Sri
Published: February 2023

This research characterizes the space group and R-phase crystal structure using the XRD method and Rietveld refinement. Rietveld improvements using the Material Analysis Using Diffraction (MAUD) software are acceptable if the Rwp < 15% and Sig < 2%. MAUD is a diffraction/reflectivity analysis program based primarily on the Rietveld method and here uses X-ray reflectivity data on materials. The intensity of the diffraction data of the powder sample is the appropriate reflection intensity so that the atomic structure of the crystalline material can be determined based on the Le bail characterization technique. The reflectance intensity of this Fe/Zeolite is Rw = 9.51% and Sig = 1.76%. XRD analysis on Lampung activated natural Zeolite before impregnation showed a monoclinic clinoptilolite crystal phase, which gives the lattice parameters on aâ‰ bâ‰ c axis, axis angle Î±=Î³=90oâ‰ Î². The Fe/zeolite in this study is a natural zeolite from Lampung, which was activated and then impregnated with Fe. The Fe/Zeolite catalyst Rietveld Refinement results showed Nepheline's closest crystal phase, which gave the lattice parameters a=bâ‰ c, axis, angle Î±=Î²=90o; Î³=120o, the shape is similar to the hexagonal crystal structure (HCP). These results can be used as an initial reference for the study of the crystallization diffraction pattern in the further development of this catalyst.
Development of a 12-V Hybrid Powered Rechargeable Lighting System with Intruder Detection and Mobile Phone Charging Units
Authors: Adebisi Oluwaseun Ibrahim , Adejumobi Isaiah Adediji , Mathew Simeon , Thompson Olawale Olabamidele
Published: February 2023

The availability of stable, reliable, and low-cost electricity is one of the key indices for measuring the socioeconomic growth of any nation globally. However, in a developing economy such as Nigeria, marred by insufficient electricity generation, load shedding, and frequent power outage are common occurrences hindering some basic domestic functions, including lighting and charging, among others, to be performed. Therefore, an alternative solution that can serve as a backup for the conventional electricity supply system becomes imperative. This work developed a 12-V hybrid-powered rechargeable lighting system with intruder detection and USB ports for mobile phone charging. The basic components used in the system development are Arduino Nano (ATMega328) microcontroller, GSM (SIM900D) module, Passive Infra-Red (PIR) sensors, light bulbs, mini 12 V lead-acid battery, and 12 V, 20 W solar panel. Using relevant design equations, circuit designs and data processing were implemented around the ATMega328 microcontroller. The developed system was tested, and the output voltages of the lighting and charging units and the functionality of the intruder detection unit were determined. The developed hybrid-powered rechargeable lighting system operated satisfactorily during testing. The lighting and charging units were functional, giving 12 and 5 V output voltages, respectively. The intruder detection unit was active, producing a buzzing sound and sending an SMS alert to the registered phone number on the detection of an intrusion. The developed system is useful for domestic and other similar applications.
Corn Pests and Evaluation of the Implementation of Integrated Pest Management in West Sumatra, Indonesia
Authors: Sari Silvia Permata , Suliansyah Irfan , Nelly Novri , Hamid Hasmiandy , Dwipa Indra
Published: February 2023

Indonesia is one of the maize-producing countries in the world. However, Indonesia's production is below the world average. One of the problems that can reduce productivity is pests. In addition, although corn is grown globally in Indonesia, it is usually not grown under the Integrated Pest Management (IPM) program. Therefore, this study aims to obtain pest information on maize and evaluate the application of IPM in West Sumatra. The study was conducted centra production of maize in West Sumatra from May 2019 to August 2020. The method used purposive random sampling. The results showed differences in the population density of pests on centra production of maize in West Sumatra. The highest percentage of pest attacks on cornfields was Pasaman Regency (41%), while the lowest pest attack was in Solok Regency (19%). The difference in population density of pests caused the influence of climate, varieties of maize, altitude, weather conditions at the time of pest observation, and the application of IPM. Several types of pests found were Beetles (Chrysomelidae), Aphids (Aphididae), Seed Flies (Muscidae), Grasshopper Oxya Chinensis (Acrididae), Fall Armyworm Spodoptera frugiperda (Noctuidae), and Corn Planthoppers (Delphacidae). The most common pest found attacking maize in West Sumatra were S. frugiperda. Then the study results also showed that not all corn farmers in West Sumatra applied IPM in their corn cultivation. IPM is needed to manage corn pests, so there is no economic loss.
Hydraulic Analysis of Dredging Impacts in Downstream Reach of The Tulang Bawang River
Authors: Kusumastuti Dyah Indriana , Jokowinarno Dwi
Published: February 2023

The Tulang Bawang river is one of the largest rivers in Lampung Province, Indonesia, transporting humans and goods. Changes in upstream land use, climate, and sedimentation are silting the riverbed and disrupting transportation. To this end, investors and government agencies have submitted various proposals to carry out sand mining downstream to assist the local government in revitalizing transportation. However, some government and community assets are likely to be affected in the upstream part that is planned to be dredged. Therefore, this study aimed to conduct a modeling scenario of riverbed dredging in the lower reaches of the Tulang Bawang River from the estuary to 11.8 km upstream. It also aimed to review the impact on the environment, especially the impact of flooding and sedimentation by 17.8 km upstream, using the HEC-RAS software. The scenarios of upstream and downstream boundary conditions were used to determine the significance of the impact. The results showed that dredging would cause water level elevation to drop upstream and sediment deposition along the river section dredged. However, the decrease in river water level was insignificant for the upstream assets and beneficial for reducing flood inundation. The result of sedimentation analysis shows that river dredging leads to morphological changes and may have an environmental impact. Therefore, effective environmental management for dredging needs to be applied to minimize the environmental impact.
Cluster Ensemble Method and Convolution Neural Network Model for Predicting Mental Illness
Authors: M V Ananthapadmanabha , Kumar A C Dhanesh , S Sabariraju , M Eswar , Senthilkumar Mathi
Published: February 2023

One out of every four individuals have a diagnosable mental disease in a given year. Social media is an excellent way for people to communicate and engage, as it reflects their emotions, moods, and thoughts. As a result, machine learning algorithms may be used to anticipate peopleâ€™s moods and emotions based on their postings and comments. On the other hand, psychometric tests use a series of questions to obtain information about how individuals think, feel, behave, and react. There is a necessity to investigate a hybrid approach for identifying peopleâ€™s mental illness by combining social media inputs and psychometric tests, especially in the pandemic situation. Hence, the present paper aims at developing a web framework that can forecast the emergence of mental illness in the future based on data from social media comments and real-time data from psychometric tests using machine learning algorithms. The proposed work includes the cluster ensemble method for social media posts and a convolution neural network model for psychometric tests. This model predicts mental illness with an accuracy of 87.05 per cent. By visiting a psychologist, the individual can use this result to take the required precautions.
Cost-effective and Low-complexity Non-constrained Workflow Scheduling for Cloud Computing Environment
Authors: Kamanga CÃ©lestin Tshimanga , Bugingo Emmanuel , Badibanga Simon Ntumba , Mukendi EugÃ¨ne Mbuyi , Habimana Olivier
Published: February 2023

Cloud computing possesses the merit of being a faster and cost-effective platform in terms of executing scientific workflow applications. Scientific workflow applications are found in different domains, such as security, astronomy, science, etc. They are represented by complex sizes, which makes them computationally intensive. The main key to the successful execution of scientific workflow applications lies in task resource mapping. However, task-resource mapping in a cloud environment is classified as NP-complete. Finding a good schedule that satisfies users' quality of service requirements is still complicated. Even if different studies have been carried out to propose different algorithms that address this issue, there is still a big room for improvement. Some proposed algorithms focused on optimizing different objectives such as makespan, cost, and energy. Some of those studies fail to produce low-time complexity and low-runtime scientific workflow scheduling algorithms. In this paper, we proposed a non-constrained, low-runtime, and low-time-complexity scientific workflow scheduling algorithm for cost minimization. Since the proposed algorithm is a list scheduling algorithm, its key success is properly selecting computing resources and its operating CPU frequency for each task using the maximum cost difference and minimum cost-execution difference from the mean. Our algorithm achieves almost the same cost reduction results as some of the current states of the arts while it is still low complex and uses less run-time.
The Microencapsulation of Noni Fruit Extract (Morinda Citrifolia L.) with Maltodextrin and Its Implementation As Feed Additive on Carcass Quality and Histology of Intestinal Sentul Chicken
Authors: Widjastuti Tuti , Nurlaeni Leni , Hasbuna Abun , Setiawan Iwan , Yudaasmara Indrawati , Tanwiriah Wiwin
Published: February 2023

Noni fruit contains photogenic compounds and active substances that function as antibacterial, antioxidant, anthelmintics, and anti-cholesterol and can increase the digestibility of feed. Active compounds with natural antioxidant activity have properties that are very unstable to heat and oxidation reactions. Microencapsulation is a technique to coat the components of bioactive compounds in extracts using a coating material. The coating material used is maltodextrin (70% extract:30% maltodextrin). Maltodextrin has high solubility and the ability to inhibit oxidation reactions. The research aims to get an optimal dose of the use of microcapsules product of noni extract (MPNE) on carcass quality and histology of intestinal Sentul chickens. The study used an experimental method with a Completely Randomized Design (CRD) to see the influential treatment using analysis of variance followed by Duncan's Multiple Range Test consisting of 4 replications and five treatments. So, the total number of chickens that had been reared was 100, and maintenance was carried out for 12 weeks. The feed treatments, namely P0=Basal ration, P1=50 mg/kg Zinc Bacitracin, P2=125 mg/kg MPNE, P3=250 mg/kg MPNE, P4=375 mg/kg MPNE. The results showed that MPNE with a dose of 250 mg/kg is the best treatment for producing live weight carcass, reducing meat cholesterol, dan improving villi height, width, surface area, and jejunum crypt depth. It was concluded that giving noni fruit extract microcapsules a dose of 125-250 mg/kg is recommended as a feed additive to replace AGP for Sentul chickens.
Wastewater Use: A Debatable Scenario and their Impacts on Crop Production
Authors:   College of Agriculture, University of Sargodha, Sargodha 40100, Pakistan, Riaz Adnan
Published: February 2023

About 90% of freshwater is used in agriculture for crop production and the world is already facing a scarcity of fresh water resources. Changing climate and rainfall pattern urge crops to demand more water while wastewater is excessively available and produce in huge amount which holds a maximum amount of organic matter and nutrients. Freshwater scarcity and demand for more food production urge farmers to use wastewater. Wastewater use has some pros and cons, in pros the addition of organic matter to soil bodies, while in cons are reduction in germination, growth, and yield. Wastewater helps farmers increment soil organic matter, total available macro and micronutrients. The negative effect is due to the addition of toxic material to soil bodies such as heavy metals, and it can't be reduced crop yield if it remains below the toxic limits. But the current scenario of wastewater uses and their positive and negative effects on the yield of crops are still under debate due many researchers showed that crop yield is reduced, and some mentioned that the crop yield increases or effects are insignificant. In this article, discussions are made about the impacts of wastewater irrigation and their correlation to seeds germination, plant growth and yield.
Effect of Heat Stress in Poultry and Its Mitigation
Authors:   College of Agriculture, University of Sargodha 40100, Pakistan, Safi Ahmad
Published: February 2023

The major problem for huge economic loss in the poultry industry was stress and from different types of stressors; heat stress was a major one. In this developing era, poultry played an important role in almost economic gain of every country. But with changing climatic conditions it had become hard to maintain the temperature in poultry production system. Heat stress effects the overall performance of both layers and broiler in terms of meat quality, growth, egg quality and egg production. If these types of parameters start showing in poultry farms timely taken steps will save farm from huge economic loss. Scientists are using different methods and techniques to alleviate the devastating effects of heat stress in both economically important poultry sectors, layer and broiler. Providing birds with suitable environmental conditions like proper ventilation and stocking density helps minimize HS. Supplementation of feed additives also helps in reducing damaging effects of HS by improving performance and gut health. Scientists worldwide are trying to develop birds with high heat tolerating ability so that birds will perform well during high-temperature phase. Conditioning of birds with high temperature at early age also helps the birds to perform better in later phases of life. This article highlights major issues regarding to chicken health under HS condition and some techniques to perform well under stressed conditions.
Pregorexia: Eating Disorder in Pregnancy
Authors: PUŞUROĞLU Meltem , HOCAOGLU Cicek
Published: February 2023

Pregorexia, the eating disorder observed during pregnancy, is a condition that negatively affects the health of the mother and the baby. The frequency of thin body perception, which has entered our lives with popular culture, is increasing. Pregorexia negatively affects both the health of the mother and the development of the baby. Pregnancy is a complex physiological and spiritual period for the mother. First of all, clinicians should be careful about eating disorders during pregnancy. Pregnant women may be unnoticed in terms of eating disorders in the outpatient clinic. In the treatment duration, it is very important to inform the mother about the importance of nutrition during pregnancy. The mother should be informed about nutrition and psychiatric treatment support should be provided. It is important for clinicians to know about pregorexia, which is an important health problem for both mother and baby.
Transdiagnostic Approach and Obsessive Compulsive Disorder
Authors: ÖZDEMİR Emre , HACIÖMEROĞLU A. Bikem
Published: February 2023

The categorical approach of traditional psychiatric nosology has been a forceful approach for a very long time for explaining psychological disorders which are defined by symptom based diagnostic categories. However, in recent years, the importance of the "transdiagnostic" approach which is a new classification system is increasing. The transdiagnostic approach aims to examine dimensionally the common cognitive, behavioral, interpersonal and biological processes underlying many psychopathologies away from the categorical approach that classifies psychopathologies according to observable symptoms. This approach intends to treat the disorders through the common underlying processes and risk factors, thus heterogeneous and comorbid symptoms are better addressed and diagnostic categories that may change during treatment are avoided. In this review study, the current problems in diagnosing based on classification and gaps in the field were examined, and the approach itself was proposed as a solution. RDoC (Research Domain Criteria) which is a new classification system for psychiatric disorders within the scope of the approach, has created a new structure using modern research approaches in genetics, neuroscience and behavioral sciences. In the present study, the definition and emergence of the transdiagnostic approach, obsessive compulsive disorder and RDoC in the context of transdiagnostic approach and transdiagnostic treatment are explained. This review is intended to be a resource for both basic psychopathology research and the development of treatment methods within the framework of a transdiagnostic approach.
Remembering in the Digital World: Autobiographical Memory in Social Media
Authors: OZDES Aylin , KARAMAN Ferhat
Published: February 2023

The use of social media continues to increase in modern cultures in recent years. This new context leads to creating a virtual self, which somewhat differs from the real self. Further, social relations are set and maintained predominantly in this new context. There is no doubt that social media does not only affect individuals' social relations but also their cognitive skills by pulling them into new situations that they are unfamiliar with. In this new context, content coded in social media can be remembered in real life, and content coded in real life can be remembered in social media. This new context, where mostly real-life stories are shared, is likely to strongly affect the autobiographical memory processes of individuals. Past research suggests that social media affects autobiographical memory processes both directly (phenomenological characteristics, functions) and indirectly through cognitive processes (eg, attention, working memory, transitive memory). Studies about its indirect effects indicate that people with limited attention and working memory capacity have difficulty processing the high number of stimuli offered by social media. Given that the long-term memory capacity is not limited, it is plausible to expect that some of the contents are encoded into the memory; however, problems may occur in the storage and retrieval processes. Studies about the direct effect of social media show that the phenomenological characteristics (number of details, accuracy, emotional content) and functions (self, social, directing, therapeutic) of events experienced or shared on social media differ from real-life events. This theoretical review discusses the effects of social media use on cognitive processes related to memory processes and more specifically on the phenomenological and functional characteristics of autobiographical memory. To recognize and prevent potential psychological issues that may emerge in relation to this new setting, it appears essential to comprehend how social media affects autobiographical memory, which is essential for self-perception.
Mediator Roles of Perfectionism and Self-Critical Rumination in the Relationship Between Perceived Maternal Rejection and Orthorexia: A Model Testing in a Female Sample
Authors: KORKMAZ YAYIN Burcu , CEYLAN ERGUN Ceren
Published: February 2023

Orthorexia nervosa (ON) refers to a pathological obsession with healthy eating characterized by a restrictive diet, ritualized eating patterns, and strict avoidance of foods believed to be unhealthy or unclean. On the other hand, healthy orthorexia (HO) is defined as an interest in healthy eating and a tendency to eat healthy foods. This study aimed to investigate the relationships between the ON, HO, maternal rejection, perfectionism, self-critical rumination, and body attitude in the women sample. 445 female students from diverse universities in Turkey was attended to our study. Participants completed questionnaires regarding ON and HO, body attitude, maternal rejection, perfectionism, and self-critical rumination. The results showed that negative body attitudes could not predict both HO (B=-.008, SE=.039, p=.791) and ON (B=.008, SE=.032, p=.835). However, perfectionism and self-critical rumination had mediator roles in the relationship between ON and HO with maternal rejection, despite this relationship was positive for ON (B = .014, Boot SE = .007, 95% Boot CI [.003, .029]), but negative for HO (B = -.023, Boot SE = .010, 95% Boot CI [-.042, -.008]). Not a negative body attitude, but maternal rejection, perfectionism, and self-critical rumination played roles in developing orthorexic tendencies.
Comparison of Attachment Styles, Family Functioning and Locus of Control in Individuals with and without Alcohol Use Disorder
Authors: MENDER Semiha , ÇELİKAY Hande , CİVEK Buse
Published: February 2023

This study aims to examine the variables of attachment styles , family functioning, and locus of control in individuals with and without alcohol use disorder. The 54 participants, including 51 male and 3 females with alcohol use disorder between the ages of 18-60s were chosen from the outpatients of xx service, the attendants of xx meetings, and the people referred by them. The control group consisted of 60 participants who were similar to the study group in terms of age and gender variables, without alcohol use disorder and psychological disorder. Data were collected through a questionnaire including Sociodemographic Data Form, Michigan Alcoholism Screening Test (MAST), Experiences in Close Relationships - Revised (ECR -R), Family Assessment Device (FAD), and Rotter’s Locus of Control Scale (LCS). In the results of the study, it was found that the participants with alcohol use disorder had a significantly higher ECR-R anxiety and avoidance score, and LCS score than the control group. Participants with the alcohol use disorder had a considerably lower FAD score than the control group. Finally, the effects of the applied scales on alcohol addiction are analyzed and it was concluded that the scores of FAD and LCS had a statistically significant effect on alcohol addiction. Accordingly, an increase in the FAD score by one unit reduces the alcohol addiction risk by %95, while an increase in the LCS score by one unit increases the alcohol addiction risk by %31.