bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANTIBACTERIAL EFFECTIVENESS OF WATER HYACINTH (Eichhornia crassipes) LEAF EXTRACT ON THE GROWTH OF Porphyromonas gingivalis
Authors: Islami Laili Nurul , Oktiani Beta Widya , Wasiaturrahmah Yusrinie 
Published: December 2023

Background: The most common periodontal disease is periodontitis which is frequently found in the form of chronic periodontitis. Such disease is caused by the accumulation of the bacterium Porphyromonas gingivalis where supporting therapy such as chlorhexidine gluconate mouthwash 0.2% can be given. However, its use in the long term can have a negative effect on the oral cavity. There is a natural plant, namely water hyacinth (Eichhornia crassipes) which contains compounds that can be used as antibacterial, such as: tannins, phenols, flavonoids, alkaloids, saponins, terpenoids, and steroids. As a result of this, the water hyacinth plant can be used as an alternative herbal medicine. Purpose: To analyze the antibacterial effectiveness of water hyacinth leaf extract (Eichhornia crassipes) against the growth of Porphyromonas gingivalis bacteria. Methods: This study used True Experimental with posttest only with control group design. Antibacterial test was performed using liquid dilution method to determine MIC and solid dilution to determine MBC. Results: Based on the results and data analysis, it was found that the water hyacinth leaf extract had MIC at 1,56% and MBC at a concentration of 50%. Conclusion: Leaf extract of water hyacinth (Eichhornia crassipes) can inhibit and have antibacterial properties against the growth of Porphyromonas gingivalis bacteria. Keywords: Chronic periodontitis, Leaf extract of Water Hyacinth, Porphyromonas gingivalis
THE RELATIONSHIP OF TOOTH BRUSHING BEHAVIOR, DIETARY PATTERNS, ECONOMIC STATUS ON CARIES OF SOUTH DAHA POPULATION
Authors: Yasmin Maulida Arifa , Setyawardhana Raden Harry Dharmawan , Wardhana Agung Satria 
Published: December 2023

Background: Based on Riskesdas 2018, prevalence of caries between age of 55-64 is 96,8%. The DMT-T index in Samuda Village, South Daha is 8,2. Caries is the destruction of hard surface of the teeth caused by multifactorial etiology, such as host, substrate, time, microorganisms and predisposing factors like tooth brushing behavior, dietary patterns and economic status. Objectives: Analyzed the relationship between tooth brushing behavior, dietary patterns, economic status and dental caries of South Daha population. Methods: This study was an observational analytic research with cross sectional research design. The population was 2,559 people of South Daha aged between 55-64 and 108 people was involved in this study based on simple random sampling technique. Results: Correlation test result, using Somers'd test to analyze the relationship between tooth brushing behavior and dental caries, is 0.000 (p <0.050), which means there is a relationship between tooth brushing behavior and dental caries with correlation strength is 0.582 (moderate). The correlation result between dietary patterns and dental caries is 0.000 (p <0.050) with correlation strength is 0.239 (weak), which means there is a weak relationship between dietary patterns and dental caries. The correlation between economic status and dental caries is 0.000 (p <0.050) with correlation strength is 0.353 (weak), which means there is a weak relationship between economic status and caries. Conclusion: There is a relationship between tooth brushing behavior and dental caries, there is a relationship between dietary patterns and dental caries and there is a relationship between economic status and dental caries. Keywords: Caries, dietary patterns, economic status, tooth brushing behavior,
HUBUNGAN PENGETAHUAN KESEHATAN GIGI DAN MULUT DENGAN KEHILANGAN GIGI DI WILAYAH KERJA PUSKESMAS SEMANGAT DALAM
Authors: Ramadhan Akhmad Akhdiannoor , Arifin Rahmad , Hatta Isnur , Hamdani Riky , Dewi Nurdiana 
Published: December 2023

Latar Belakang: Tingkat pengetahuan kesehatan gigi dan mulut berpengaruh pada perilaku menjaga kesehatan gigi dan mulut yang berujung pada kejadian karies dan penyakit periodontal. Selain perilaku menyikat gigi, usia juga berperan penting dalam faktor risiko terjadinya kehilangan gigi. Usia 35-44 tahun adalah usia yang ideal dilakukan pengawasan kesehatan gigi dan mulut. Tujuan: Menganalisis hubungan pengetahuan kesehatan gigi dan mulut dengan kehilangan gigi di wilayah kerja Puskesmas Semangat Dalam (tinjauan pada masyarakat usia 35-44 tahun). Metode: Penelitian ini merupakan penelitian analitik korelasional dengan metode cross sectional. Teknik pengambilan sampel menggunakan probability sampling dengan teknik cluster sampling. Subjek penelitian adalah masyarakat usia 35-44 tahun yang tinggal di wilayah kerja Puskesmas Semangat Dalam sebanyak 107 responden. Pengumpulan data penelitian ini dilakukan dengan pemeriksaan tingkat pengetahuan kesehatan gigi dan mulut menggunakan kuesioner dan pemeriksaan jumlah gigi yang hilang pada rongga mulut responden. Analisis data menggunakan dengan uji Somers’D. Hasil: Mayoritas masyarakat usia 35-44 tahun yang tinggal di wilayah kerja Puskesmas Semangat Dalam memiliki tingkat pengetahuan kesehatan gigi dan mulut dengan kategori sedang (57,94%) dan memiliki tingkat kehilangan gigi dengan kategori rendah (52,34%). Uji korelasi Somers’D menunjukkan terdapat hubungan yang signifikan antara tingkat pengetahuan kesehatan gigi dan mulut dengan kehilangan gigi (p=0,000). Kesimpulan: Terdapat hubungan yang signifikan antara tingkat pengetahuan kesehatan gigi dan mulut dengan kehilangan gigi, Pengetahuan kesehatan gigi dan mulut baik dapat membentuk perilaku menjaga kesehatan gigi dan mulut yang baik. Perilaku yang baik akan mengurangi terjadinya kehilangan gigi seseorang. Kata Kunci: Kehilangan Gigi, Pengetahuan kesehatan gigi dan mulut
MENGEMBANGKAN KEMAMPUAN MENGENAL BENTUK, WARNA DAN UKURAN MENGGUNAKAN MODEL PROBLEM BASED LEARNING DAN MEDIA PUZZLE SHAPE PADA ANAK USIA 4-5 TAHUN
Authors: Iryanti Dian Ekayuti , Maimunah Maimunah 
Published: December 2023

Pada penelitian ini yang menjadi permasalahan adalah kurang berkembangnya kognitif anak dalam mengenal dalam mengenal bentuk, warna, dan ukuran dikarenakan pembelajaran bersifat satu arah dan abstrak, kurang bermakna dan kurang menarik. Tujuan penelitian adalah mendeskripsikan aktivitas guru, menganalisis aktivitas anak dan hasil perkembangan koginitif anak dalam mengenal bentuk warna dan ukuran dengan menggunakan model Problem Based Learning dan media Puzzle Shape. Dengan pendekatan menggunakan penelitian kualitatif dengan jenis Penelitian Tindakan Kelas (PTK), dilakukan empat kali pertemuan. Setting penelitian ialah 12 orang anak kelompok A2 TK Idhata II Banjarmasin. Pengumpulan data menggunakan teknik observasi serta penilaian aktivitas guru, aktivitas anak, dan hasil perkembangan kognitif anak. Analisis data menggunakan teknik deskriptif kualitatif yang dipaparkan dalam tabel dan grafik disajikan beserta indikator keberhasilan perkembangan yang ditetapkan. Hasil penelitian terlihat bahwa aktivitas guru pertemuan 1-4 terjadi peningkatan dari skor 23 menjadi 37 dengan katergori Sangat Baik. Pada aktivitas anak pertemuan 1-4 meningkat dari 25% menjadi 100% pada kategori Seluruh Anak Aktif. Dan capaian perkembangan anak mengalami peningkatan dari 33% menjadi 100%. Hasil penelitian ini dapat digunakan sebagai alternatif dalam pemilihan model pembelajaran.
A Real Time Intelligent Image Based Document Classification Using CNN and SVM
Authors: Potharaju . Sai Prasad , Tambe Swapnali N , Tambe Sagar B 
Published: December 2023

Abstract
Artificial Neural Network with multilayers is referred to as Deep Learning. As it is able to handle large amount of data, deep learning has become very popular in recent years. Classification, object tracking, estimation of different poses, text detection & recognition are various fields where deep learning is applied. Convolutional Neural Network(CNN) being one of the most important deep learning methods, has surpassed the traditional methods of classification.This paper presents a Supervised CNN, which is a machine learning algorithm used to classify images into different categories. In a few online registration processes, documents like Aadhaar,PAN,mark sheets etc need to be uploaded. Manual mistakes during upload can be committed as in; in place of Aadhar,some irrelevant document can be uploaded. Manual intervention to detect such mistakes is tedious.Hence we present an Intelligent Image based Document Classification using Machine Learning, where we have applied CNN to predict if the uploaded document is valid or invalid. The system is implemented on 900 images among which 500 are Aadhar images and remaining are PAN. The generated model recorded 90% accuracy to predict the Aadhar document and 93% in case of PAN.The same dataset is compared with Support Vector Machine(SVM) which displayed 88.88% overall accuracy.
Inter-annual variability on the physicochemical characteristics of Tuticorin coast, southeast of India
Authors: Nithin Ajith , Sundaramanickam Arumugam , Manimaran Kuppusamy , Saranya Kailasam , Sathish Manupoori , Surya Parthasarathy , Balachandar Kumar , Sathishkumar Rengasamy Subramaniyan , Meena Moorthy 
Published: December 2023

Abstract
Tuticorin area is populated with a large number of chemical industries and thermal power plants which contribute to changes in physicochemical characteristics of the coastal waters. Long term monitoring is required in order to understand the fluctuating trends of water quality in this area. The present study aimed to monitor the physicochemical characteristics of the coastal water at Tuticorin from 2012 to 2017. Sample collection was conducted for all the seasons of each year throughout the study period to understand the variations in physicochemical characteristics in the coastal water. A regression trend line was plotted based on the data which enables us to understand that water quality is deteriorating in the study area. Such long term studies are essential to determine the actual fate of any coastal area. Currently the area is yet to be termed as polluted; however measures must be taken to reduce the discharge of pollutants.
Robust Error-State Kalman-Type Filters for Attitude Estimation
Authors: Bellés Andrea , Medina Daniel , Chauchat Paul , Labsir Samy , Vilà-Valls Jordi 
Published: December 2023

Abstract
State estimation techniques appear in a plethora of engineering fields, in particular for the attitude estimation application of interest in this contribution. A number of filters have been devised for this problem, in particular Kalmantype ones, but in their standard form they are known to be fragile against outliers. In this work, we focus on error-state filters, designed for states living on a manifold, here unit norm quaternions. We propose extensions based on robust statistics, leading to two robust M-type filters able to tackle outliers either in the measurements, in the system dynamics or in both cases. The performance and robustness of these filters is explored in a numerical experiment. We first assess the outlier ratio that they manage to mitigate, and second the type of dynamics outliers that they can detect, showing that the filter performance depends on the measurements’ properties.
Single and combined effects of metal-based fungicides on Eisenia andrei in different scenarios of climatic change
Authors: Kaka Hussain , Opute Prosper , Maboeta Mark 
Published: December 2023

Abstract

This study evaluated the ecotoxicity of metal-based fungicides under the current scenarios of global climatic change (20°C and 25°C) in single and binary mixtures of copper oxychloride (CuOx) [200, 500 and 1000 mg/kg] and mancozeb (MnZn) [44, 850 and 1250 mg/kg]. Endpoints assessed included mortality, growth, avoidance behaviour, and reproduction utilising standardised protocols (ISO and OECD). Mortality in the exposure groups only exceeded 10% in the CuOx1000 and CuOx1000 + MnZn1250 mg/kg groups in all temperature-moisture combinations. However, the mortality rate exceeded 10% only in the treatment with CuOx500 + MnZn850 mg/kg at 20°C30%. Relative growth rates in the CuOx and MnZn treatment groups decreased with increasing concentrations. In both CuOx and MnZn treatment concentrations at 20°C30% and 25°C50% conditions, avoidance response behaviour was greater than 80% throughout the exposure, except in CuOx200 mg/kg, MnZn44 mg/kg and CuOx200 + MnZn44 mg/kg. The reproduction of exposed earthworms in all treatment groups was concentration-dependent and influenced by varying temperatures and soil moisture conditions. No juveniles or cocoons were produced in the CuOx1000 mg/kg treatment at 25°C30%, indicating that copper oxychloride may be more toxic than mancozeb, especially in drought conditions. This study found that different temperatures and soil moisture levels altered the ecotoxicity of CuOx and MnZn. It can be concluded that climate change is likely to significantly impact the outcomes of metal ecotoxicity to earthworms and their ecological activities.
Effect of starch-based natural and synthetic binders on densification of sugar cane trash
Authors: Fatima Rohya , Irfan Muhammad , Fatima Hira 
Published: December 2023

Abstract
The growing demand of energy and the concurrent uplift in greenhouse gas emissions is attributed to the global waning of fossil fuels. In this regard, densification of biomass presents a viable and eco-friendly approach for producing solid fuels. Sugarcane trash is one of the promising biomasses used for energy production. This study aims to analyze and evaluate the effect of pretreatment and binder’s concentration on the densification of sugarcane trash. For this purpose, sugarcane trash is pretreated with hot water at 80°C in a 1:15 solid-to-liquid ratio (S/L) and densified by adding two different starch-based binders named as natural binder (low-grade broken rice) (NB) and synthetic binder (Maya) (SB) with three different concentrations i.e., 10%, 20% and 30%, followed with the palletization. After densification, the pellets are characterized by physical, mechanical, thermal, and structural properties. The results indicated that pellets with 10%SB presented optimum properties. Pellets with 10%SB pellets showed higher heating values (4301.17 Cal/g) (HHV), a crucial property for the design calculations or simulations of thermal conversion for biomass. The pellet strength is suggested to be linked with the composition of binder and biomass which is linked with the binding of binder and biomass material in the densified biomass. It is evident from the results that sugarcane trash pellets can fulfill energy requirements as per the needs of the present era keeping in view the green and sustainable environment. Thus, rather than burning the sugarcane trash which causes pollution, densified pellets are of great significance for bioenergy production.
Lung Volume Measurement with the Hisense CASApplication in Preoperative Evaluation of Pediatric Pectus Excavatum
Authors: Shi Jianing , Dong Qian , Wang Feifei , Zhou Xianjun , Li Fujiang , Liu Yao , He Ying , Xing Maoqing 
Published: December 2023

Abstract
Objective To explore the application and clinical significance of Hisense computer-assisted surgical system ( Hisense CAS) in preoperative lung volume measurement of pediatric pectus excavatum.
Methods The clinical data of 52 children with pectus excavatum admitted to the Affiliated Hospital of Qingdao University Medical College from January 2019 to January 2023 were retrospectively analyzed. Besides, CAS was used to perform three-dimensional reconstruction of the children's chest CT images. Measuring lung volume with CAS method was evaluated for its reliability and clinical significance by comparing the correlation between the reconstructed lung volume measurement results and the results of routine pulmonary function tests.
Results The mean values of CT-based CAS lung volume results were greater than those of pulmonary function tests, but the correlation with conventional pulmonary function results was statistically significant (P<0.05).
Conclusion CT-based CAS three-dimensional reconstruction lung volume measurement can serve as an effective method to clinically assess the lung volume of pediatric patients with pectus excavatum.
Leverage points to support Africa’s efforts to track climate adaptation
Authors: Nowak Andreea , Njuguna Lucy , Ramirez-Villegas Julian , Reidsma Pytrik , Crumpler Krystal , Rosenstock Todd 
Published: December 2023

Abstract

Tracking progress on the Global Goal on Adaptation depends on countries’ ability to plan for, track, and report on adaptation efforts. We analyze the readiness of 53 African countries to track adaptation, assessed by the comprehensiveness, coherence, and robustness of adaptation elements of their national policies. Fourteen countries (~26%) provide information on the entire set of elements that ensure comprehensiveness: climate hazards (100%, n=53), systems at risk (100%, n=53), goals (55%, n=29), objectives (77%, n=41), actions (94%, n=50), and indicators (34%, n=18). However, elements are typically misaligned, impeding coherence. Furthermore, only 21% of targets (n=559) and 2% of indicators (n=25) are robust enough to operationalize tracking. No country meets all three readiness criteria, yet some progress is evident. Substantial improvement is warranted in upcoming revisions of African NDCs and ongoing NAP processes if they are to inform future national adaptation tracking efforts and the Global Stocktake.
Hydrocarbon Bioremediation: Scaling Up from Lab to Field for Petroleum-Contaminated Soils
Authors: Curiel-Alegre Sandra , Khan Aqib Hassan Ali , Rad Carlos , Velasco-Arroyo Blanca , Rumbo Carlos , Rivilla Rafael , Durán David , Redondo-Nieto Miguel , Borràs Eduard , Molognoni Daniele , Martín-Castellote Soledad , Juez Blanca , Barros Rocío 
Published: December 2023

Abstract
Previous degradation tests done at a lab scale displayed good results in TPHs degradation using the combination of vermicompost, nutrients addition, and microbial inoculation; this work was a scaling-up experiment for testing and optimizing the use of biopiles for bioremediation of TPHs polluted soils. In this scaling up experiment, based on previous bioremediation trials, three 500 kg pilots of polluted soil was prepared, and respective treatments were implemented: including control soil (CT) maintained at 40% field capacity, bioaugmentation and vermicompost treatment (BAVC), and a combined application of BAVC along with bioelectrochemical snorkels (BESBAVC). The bacterial consortia for bioaugmentation was inoculated at the start of experiment and at day 30 and water was added at same amount in CT pilot. The pilots were sampled in triplicate at 0 (before and after inoculation), 7, 30, 60, and 90 days, and extractable petroleum hydrocarbons (EPHs), chemical and biochemical soil properties were assessed. With natural attenuation ~ 15% of EPHs losses after 90 days occurred, attributed due to direct volatilization. With BAVC increased EPHs removal up to 90.3% of the initial amount at 90 days was noted. No statistically significant difference between BAVC and BESBAVC was restored. The BES snorkel application for the remediation of emerging pollutants is an innovative and budding technology, due to its capacity to enhance the pollutant removal capacity. However, it is highly dependent on the combination of provided aerobic and anaerobic conditions and requires higher water levels to support the process.
Co-benefits of nature-based solutions exceed the costs of implementation
Authors: González-García Alberto , Palomo Ignacio , Codemo Anna , Rodeghiero Mirco , Dubo Titouan , Vallet Améline , Lavorel Sandra 
Published: December 2023

Abstract

Nature-based Solutions’ (NbS) potential for multiple benefits across ecosystems and societies justify their uptake in policy and implementation. This study contributes to closing the gap in quantifying the multiple outcomes of NbS by evaluating the multifunctionality of 85 NbS actions in the Alps. We assessed biodiversity co-benefits, the economic value of four Ecosystem Services (ES) provided by these NbS, and their respective beneficiaries: heatwave mitigation, flood regulation, climate regulation, and landslide protection. Our results show the diversity of NbS, with forest NbS having high values for all ES, river and wetland NbS showing high values for biodiversity, and urban NbS, presenting lower biodiversity value but being highly cost-effective and benefiting a larger population. We estimated an average ES economic value per hectare of NbS of 424,662 Euros, with a three to one return on investment. We discuss the need for integrating biodiversity and multiple ES for future NbS funding and implementation together with their role to mitigate and adapt to climate change.
Machine learning on quantum experimental data toward solving quantum many-body problems
Authors: Kim Dohun , Cho Gyungmin 
Published: December 2023

Abstract

Advancements in the implementation of quantum hardware have enabled the acquisition of data that are intractable for emulation with classical computers. The integration of classical machine learning (ML) algorithms with these data holds potential for unveiling obscure patterns. Although this hybrid approach extends the class of efficiently solvable problems compared to using only classical computers, this approach has been realized for solving restricted problems because of the prevalence of noise in current quantum computers. Here, we extend the applicability of the hybrid approach to problems of interest in many-body physics, such as predicting the properties of the ground state of a given Hamiltonian and classifying quantum phases. By performing experiments with various error-reducing procedures on superconducting quantum hardware with 127 qubits, we managed to acquire refined data from the quantum computer. This enabled us to demonstrate the successful implementation of classical ML algorithms for systems with up to 44 qubits. Our results verify the scalability and effectiveness of the classical ML algorithms for processing quantum experimental data.
An evolutionary trust game model with group reputation within the asymmetric population
Authors: Zhou Chen , Zhu Yuying , Zhao Dawei , Xia Chengyi 
Published: December 2023

Abstract

Trust plays a pivotal role in the evolution of human societies. In accordance with the classical trust game, an investor is required to make an investment, while the trustee has the option to be either trustworthy or untrustworthy. In this study, we differentiate between investors and trustees. Strategy imitation occurs only among individuals of the same type, and their proportions remain constant. Trustees can oscillate between being trustworthy and untrustworthy. Meanwhile, investors have the choice to either invest or abstain from investing. Using the replicator dynamics, we investigate the N-player trust game where The group reputation is introduced into the population of trustees. We discover that introducing the group reputation facilitates a stable state of co-existence between investing investors and trustworthy trustees. Moreover, it's found that with the introduction of group reputation, a moderate increase in the reputation parameter can lead to a reduction in relative productivity of the prosocial strategies at optimal average payoff when there is full trust and investment within the group. The current work highlights the nuanced impact of group reputation on the dynamics of trust and investment, providing some new insights that could enhance cooperation and social welfare in various social contexts.