bluuebunny/crossref_metadata_2025_split huggingface dataset:
A high sensitivity refractive index sensor based on microstructure fiber with simple structure and SPR effect
Authors: Ullah Sajid , Chen Hailiang , Yin Zhiyong , Li Hongwei , Li Yuxin , Zhang Tianrun , Wang Chun , Guo Pengxiao , Li Shuguang 
Published: March 2024

Abstract
A novel dual-side polished photonic crystal fiber (PCF) based surface plasmon resonance (SPR) polarization filtering and refractive index (RI) sensor is presented in this paper. The cladding of PCF was composed of eight air holes and the outer surface was dual-sided polished and coated with gold film. Finite element method (FEM) was used for the simulation and design of the proposed sensor. Simulation results showed that sensor performance was better in analytes ranging from 1.33 to 1.42 RI. The wavelength and amplitude sensitivities at resonance wavelengths of 1269 and 995 nm were 27400 nm/RIU and −100.43 RIU−1 for an analyte of 1.42 and 1.41 RI, respectively, along with a spectral resolution of 3.64×10−6 RIU. Maximum loss of 52806 dB/m was obtained for an analyte of 1.41 RI towards Y-Polarization (Y-P). An extinction ratio of −105.374 dB was obtained using a fiber transferring length of 2 mm to achieve better polarization filtering effects. The proposed sensor is made of same size air holes which is easy to fabricate, cost effective, and shows better sensitivity and polarization filtering effects than several other sensors. It is expected that the sensor is suitable for wide RI detection range and capable of providing excellent polarization effect. The proposed sensor can be used for various applications including environmental detection, chemical sensing, biosensors, and pharmaceutical inspection.
An artificial intelligence model estimation for functionalized graphene quantum dot-based diode characteristics
Authors: Öter Ali , Ersöz Betül , Berktaş Zeynep , Bülbül Halil İbrahim , Orhan Elif , Sağıroğlu Şeref 
Published: March 2024

AbstractThe use of artificial intelligence (AI) approaches, one of the most significant technological advances of the 21st century, to determine the diode parameters that can be obtained from Schottky diode characterization allows data to be collected, processed, analyzed, and results obtained faster than ever before, with high accuracy. It also supports the development of a selection and modeling tool for future studies and, most importantly, facilitates modeling implementation with faster and fewer experimental results. In this context, this study presents a machine learning model to predict diode parameters from current–voltage (I-V) measurements of polyethyleneimine-functionalized graphene quantum dots (GQDs)-based Schottky hybrid diode. This study used K-Nearest Neighbor, Random Forest (RF), Multilayered Perceptron, and Support Vector Machine algorithms. In research, the lowest model error of each model was compared, and the performance of the models obtained was evaluated. In addition, out of 30 diodes on the fabricated structure, the diode with the best rectification ratio (RR) was identified within a few seconds using machine learning, verified to be the same as the diode selected by the researchers, and the optimal estimation of RR and ideality factor was made from the diode parameters using the thermionic emission method. The experimental results were compared with machine learning models. Among these algorithms, the RF algorithm performed best with a mean square error value of 4.1 E-05 and an R-squared value of 0.999998. The success of RF depends on the characteristics of the dataset used, its size, and data distribution. The success rate of the RF algorithm is more successful in the 200 data sets used in this study. RF reduces overfitting by taking the average of multiple decision trees and is less sensitive to noise and outliers in the data. The results obtained will allow the development of a selection and modeling tool for future studies and, most importantly, facilitate modeling faster and with fewer experimental results, enabling the integration of AI into science.
Analysis of
anomalies using weak effective Hamiltonian with complex couplings and their impact on various physical observables
Authors: Arslan Muhammad , Yasmeen Tahira , Shafaq Saba , Ahmed Ishtiaq , Aslam Muhammad Jamil 
Published: March 2024

Abstract
Recently, the experimental measurements of the branching ratios and different polarization asymmetries for processes occurring through flavor-changing-charged current

transitions by BABAR, Belle, and LHCb have revealed some significant differences from the corresponding Standard Model (SM) predictions. This has triggered an interest to search for physics beyond the SM in the context of various new physics (NP) models and using the model-independent weak effective Hamiltonian (WEH). Assuming left-handed neutrinos, we add the dimension-six vector, (pseudo-)scalar, and tensor operators with complex Wilson coefficients (WCs) to the SM WEH. Using 60%, 30%, and 10% constraints resulting from the branching ratio of

, we reassess the parametric space of these new physics WCs accommodating the current anomalies based on the most recent HFLAV data of

and

and Belle data of

and

. We find that the allowed parametric region of left-handed scalar couplings strongly depends on the constraints of the

branching ratio, and the maximum pull from the SM predictions results from the <60% branching ratio limit. Also, the parametric region changes significantly if we extend the analysis by adding LHCb data of

and

. Furthermore, due to the large uncertainties in the measurements of

and

, we derive the sum rules which complement them with

and

. Using the best-fit points of the new complex WCs along with the latest measurements of

, we predict the numerical values of the observable

,

, and

from the sum rules. The simultaneous dependence of abovementioned physical observables on the NP WCs is established by plotting their correlation with

and

, which are useful to discriminate between various NP scenarios. We find that the most significant impact of NP results from the WC

. Finally, we study the impact of these NP couplings on various angular and

triple product asymmetries that could be measured in some ongoing and future experiments. The precise measurements of these observables are important to check the SM and extract the possible NP.
Cosmological constraints on neutrino mass within consistent cosmological models*
Authors: Pang 庞 Ye-Huang 业煌 , Zhang 张 Xue 雪 , Huang 黄 Qing-Guo 庆国 
Published: March 2024

Abstract
Recently, the emergence of cosmological tension has raised doubts about the consistency of the ΛCDM model. To constrain the neutrino mass within a consistent cosmological framework, we investigate three massive neutrinos with normal hierarchy (NH) and inverted hierarchy (IH) in both the axion-like early dark energy (Axi-EDE) and AdS-EDE models. We use joint datasets including the cosmic microwave background power spectrum from Planck 2018, Pantheon of type Ia supernova, baryon acoustic oscillation, and

data from SH0ES. For the νAxi-EDE model, we obtain

< 0.152 eV and

< 0.178 eV, whereas for the νAdS-EDE model, we find

< 0.135 eV and

< 0.167 eV. Our results exhibit a preference for NH in both the νAxi-EDE and νAdS-EDE models.
Violation of detailed balance in microwave circuits: theory and experiment
Authors: Dumont Alexandre , Février Pierre , Lupien Christian , Reulet Bertrand 
Published: March 2024

Abstract
We propose an approach to detailed balance violation in electrical circuits based on the scattering matrix formalism commonly used in microwave electronics. This allows us to easily include retardation effects, which are paramount at high frequencies. We define the spectral densities of phase space angular momentum, heat transfer and cross power, which can serve as criteria for detailed balance violation. We confirm our theory with measurements in the 4–8 GHz frequency range on several two port circuits of varying symmetries, in space and time. This validates our approach, which enables straightforward treatment of quantum circuits at ultra-low temperature.
Fabrication and application of salicin-polycaprolactone 3D-printed scaffold in the healing of femur bone defects
Authors: Jalali Hanieh , Salemian Milad , Nabiuni Mohammad , Kouchesfehani Homa Mohseni , Bardei Latifeh Karimzadeh , Gregory Carl 
Published: March 2024

Abstract
Polycaprolactone (PCL) is a suitable material for bone repair due to good biocompatibility and mechanical properties. However, low bioactivity and hydrophobicity pose major challenges for its biomedical applications. To overcome these limitations, PCL-based scaffolds loaded with bioactive agents have been developed. Salicin (Sal) is an anti-inflammatory and analgesic herbal glycoside with osteogenic potential. In the present study, we aimed to produce a Sal-laden PCL (PCL–Sal) scaffold for bone healing applications. Three-dimensional scaffolds were produced and their biocompatibility, and physical-chemical characteristics were determined. The osteogenic potential of the PCL (PCL) and PCL–Sal scaffolds was evaluated using bone marrow mesenchymal stem cells (BMSCs). Scaffolds were implanted into a 5 mm bone defect created in the femur of adult rats, and the new bone fraction was determined using micro-computed tomography scanning at one-month follow-up. PCL–Sal scaffold had a structure, porosity, and fiber diameter suitable for bone construction. It also possessed a higher rate of hydrophilicity and bioactivity compared to the PCL, providing a suitable surface for the proliferation and bone differentiation of BMSCs. Furthermore, PCL–Sal scaffolds showed a higher capacity to scavenge free radicals compared to PCL. The improved bone healing potential of the PCL–Sal scaffold was also confirmed according to in vivo implantation results. Our findings revealed that the Sal-laden implant could be considered for bone repair due to desirable characteristics of Sal such as hydrophilicity, surface modification for cell attachment, and antioxidant properties.
Urban Nature Preservation and Conservation Strategies Based on Biophilic Institutions and Governance: A Lesson Learned from Gold Coast City for Indonesian Cities
Authors: Fatmadewi R 
Published: March 2024

Abstract
Biophilic urbanism is considered as one approach to solve the problem of city’s over-development and may provide opportunities for citizens to connect with the natural environment. This research project is using argumentative approach in attempts to analyse urban nature preservation strategy of the Gold Coast City, based on the biophilic urbanism concept, with a focus on institutions and governance aspect, including biodiversity-related action plans, biophilic support organizations, environmental education, budgets for biophilic urbanism projects, and biophilic-related projects and initiatives. Moreover, it also analyses the constraints to implementing good biophilic governance based on the political/legal, economic, socio-cultural, and technological factors. To determine urban nature conservation and preservation strategies for the Gold Coast’s future, a SWOT analysis was undertaken. The results of this study could usefully give a brief reflection on the possibility of implementing the biophilic city concept for Indonesian cities in general.
Data Communication as a key to integrated river basin management
Authors: Werdiningtyas Ratri 
Published: March 2024

Abstract
This article discusses data communication as a key to implement integrated water resource management (IWRM) in river basin management. The performance of a river basin is determined by many aspects/sectors which are managed by different level of governments and various agencies within them. Implementing IWRM requires integrated data information system provided by those various government agencies. Although it has been regulated in the Law No 17 Year 2019, integrated information system reliable to support decision-making process has not existed yet. This article reviews what is the condition of water related data in Bengawan Solo River Basin Management – the type of water related data, the data frequencies, and the data sharing mechanism. It aims to examine data communication among actors and supports the decision-making process in Bengawan Solo River Basin Management. There are three stages were undertaken to achieve this overall aim, that are 1) identifying the type of water-related data need be shared in sharing water resource from the literature; 2) identifying the availability of water-related data identified in the stage 1 in the existing data provided by government agencies; 3) conducting a series of focused group discussion (FGD) to elaborate the use of the available data to understand its limitations to support decisionmaking process. The research found that the implementation of IWRM in Bengawan Solo River Basin is difficult to be achieved because there is a lack of data communication among data providers. It points that the absence of data communication occurred because there is no definite data sharing framework specify what data need to be shared, the frequency of data collection and updating, and the mechanism in sharing data legitimated by all agencies involved in Bengawan Solo River Basin Management. Thus, it reveals that data cannot be used maximally to support effective river basin management not because of technology drawbacks or a lack of data, but its uncertainty on how data needs to be communicated. In addition, there no certainty of who is the responsible agency or authority to fulfill five aspects of data communication. This is the final homework of IWRM implementation in managing river basin in Indonesia.
Economic And Regional Impacts of Infrastructure Development Activities for Indonesian’s National Economic Recovery Program (PEN) in Pamekasan Regency, East Java Province
Authors: Nyoman Suluh Wijaya I , Indah Shofarini Dian , Wisnu Adrianto Dimas , Wahyu Dwi Jayanti Ardhaninggar , Dian Utomo Fajar 
Published: March 2024

Abstract
In response to the COVID-19 impact, infrastructure development has become crucial to accelerating economic growth at the municipal level in Indonesia. The Indonesian Government, in 2019-2020, initiated the National Economic Recovery Program (Pemulihan Ekonomi Nasional - PEN) in several regions, including Pamekasan Regency in East Java Province. PEN aimed to promote economic growth by some activities of infrastructure development that is urgently required for economic development in each municipality. This study aims to measure the effect of the program on various variables and identify the leverage variables for the of the PEN’s sustainability in Pamekasan Regency. The aimed variables include economic, regional, and demographic development (population) variables. The program’s impact is calculated based on the gap between the conditions before and after the program implemented in each impact area. A Multi-Dimensional Scaling (MDS) technique, namely Rapfish, is used to identify leverage variables for sustainability. As the result, Economic variables show an average value of 4 for each activity such as improving County Roads & Street Lighting Development, improving Traditional Market Area, and improving Small to Medium-Sized Industrial Area. Regional variables, however, show an average value of 3, indicating constancy across each type of activity. Meanwhile, population variables show an average value of 4, indicating growth for each indicator. According to the Rapfish analysis, the leverage variable for the level of sustainability within the PEN project in Pamekasan Regency is the regional variable with the highest root mean square value, which is 2.48.
Evaluation of Communal WWTP Management in Supporting the Smart Environment in Mlati District, Sleman Regency
Authors: Solikah Ratih , Rachmawati Rini , Adriadi Ghiffari Rizki 
Published: March 2024

Abstract
Communal Wastewater Treatment Plant (WWTP) is a solution used in the management and treatment of domestic waste. Mlati District is an area that has 8 active Communal WWTP units spread across four villages. Management by the local community to the type of technology used in each region certainly has differences. This research aims to determine the benchmark for the effectiveness of developing one of the smart city dimensions, that is the smart environment in Mlati District. This research was conducted using qualitative research methods, with data processing and presentation carried out descriptively. The existing conditions of the Communal WWTP were obtained by field observation, the management of the Communal WWTP was then carried out descriptive analysis based on the observations, indepth interviews and secondary data and then continued with descriptive analysis to find out management in supporting the smart environment in the Mlati District. The results of the study show that the management of the Communal WWTP in Mlati District has been going well with minimal risk of damage and obstacles. Communal WWTP is the main infrastructure in domestic waste processing which brings significant changes to the region and society. The existence of a waste water treatment installation unit is considered to be able to meet the community’s needs for waste handling. Although waste treatment is not discussed significantly in the elements of smart city development, centralized domestic waste management in Mlati District has proven to play a role in supporting the realization of a smart environment in the region.
Empirical design for the excavation method and support system at tunnel no 2, Bintang Bano irrigation area, West Nusa Tenggara
Authors: Ananda R T , Indrawan I G B , Titisari A D 
Published: March 2024

Abstract
Bintang Bano Irrigation Area aims to optimize water consumption downstream of the Bintang Bano Dam and distribute it to irrigate agricultural land in Rempe, Seteluk, Seloto, and Senayan villages. Bintang Bano Irrigation Area uses tunnel construction as its network. This research aims to provide recommendations for the tunnel excavation method and support system and predict the tunnel stand-up time based on an empirical method from Rock Mass Rating (RMR89). The research method includes analysis of surface geological mapping and analysis of the core drill along the tunnel to determine the classification of rock masses. Surface engineering geological mapping was conducted to validate the Rock Mass Rating parameters determined by drill core evaluation. The results show the tunnel consists of andesite having poor to good rock masses. The excavation methods for poor to fair rock masses are heading and bench; good rock mass is full face and uses complete support. The tunnel requires bolts, shotcrete, and steel ribs for the support systems. Stand-up time predictions for poor rock mass are less than one day, and fair to good rock is over a month. Although the empirical approach is functional, numerical analysis is needed to verify the empirical design and effect of geological structures for tunnel stability, including tunnel deformation during construction.
The state of sustainable and disaster-resilient infrastructure in Indonesia
Authors: Firdaus Aden , Pribadi Krishna Suryanto , Abduh Muhamad 
Published: March 2024

AbstractThis paper discusses the paradigm shift in the way we think about disaster resilience and sustainability in the context of infrastructure, particularly in lower-income and disaster-prone countries like Indonesia. We highlight the importance of resilience as a critical component of sustainability, as it improves the agility and flexibility of infrastructure against future climate-related and other hazards. We discuss the potential trade-offs between disaster-resilient infrastructure and sustainable infrastructure and suggest that decision-makers can use a comprehensive approach that considers the overlap between the physical environment, social dynamics, metabolic flows, and governance networks to address these challenges. To obtain research objectives, a combination of three methods was used, namely policy analysis, case study, and comparative approach. This combination is to get a holistic picture of Indonesia’s conditions. This paper also presents several approaches that can be used to prioritize both resilience and sustainability in infrastructure projects.
Investigating natural disaster literacy levels
Authors: Logayah Dina Siti , Maryani Enok , Ruhimat Mamat , Wiyanarti Erlina 
Published: March 2024

Abstract
This research aims to determine the level of natural disaster literacy at the educational unit level, namely junior high school children. The data in this study, researchers adopted a survey design conducted on 364 children in West Java province, collected through a natural disaster literacy questionnaire. The criteria for natural disaster literacy are generally determined at high, medium, sufficient, low, and very low levels with literacy dimensions, namely knowledge, attitudes, and skills. As a result, it was determined that in general junior high school students’ natural disaster literacy was at a high level in the knowledge dimension but was at a medium level in the behavioural dimension while the skills dimension was at a low level for each literacy component. It is recommended that disaster literacy become a habit that can be implemented in everyday life.
Typology of rural transformation in Grogol, Sukoharjo 2009-2022
Authors: Dewi Rika Kurnia , Noviani Rita , Nurhadi  
Published: March 2024

Abstract
Peri-urban growth and development in Grogol District can trigger changes in physical, social, and economic characteristics that were previously rural to become more urban. Therefore, this research is aimed at identifying the physical, social, and economic characteristics of the peri-urban urban area of Grogol Sub-District that occur as a result of the growth and development of the core city, namely Surakarta City. This study was also structured to find out how the peri-urban typology formed in the Grogol sub-district, which is directly adjacent to Surakarta City, when viewed based on the characteristics of the peri-urban area according to its physical, social, and economic aspects. The analytical method used in this research is descriptive statistical analysis by combining the results of the scores for each physical, social, and economic aspect variable. The results showed the development of regional typology zones in 2009–2022, namely: Madegondo Village from 2009–2022, Gedangan Village became the primary peri-urban zone starting in 2018, Cemani Village became the primary peri-urban zone in 2022, Pondok, Pandeyan, Telukan, Kadokan, Grogol, Kwarasan, Parangjoro, Manang, Sanggrahan, and Banaran Villages in 2009–2022, Langenharjo Village in 2012 was included in the primary peri-urban zone, changed in 2015 to become a secondary peri-urban zone. So in 2009–2022, in Grogol District, there will be two typologies, namely the primary peri-urban zone and the secondary peri-urban zone.
Monitoring soil fertility to mitigate soil degradation in reclamation land after bauxite mining
Authors: Sulakhudin  , Sukirno  , Abdillah A M 
Published: March 2024

Abstract
Bauxite is one of the minerals mined in an open pit system. Mining with this system will initially cause soil degradation because the soil layer covering the bauxite ore will be removed first from the mining location. The top soil will be returned after the bauxite ore extraction is complete. Returning soil to the mining site causes quite severe soil degradation because the process of taking and returning the top soil is carried out by an excavator which mixes the soil. As a result of this process, the soil in the reclamation area changes its chemical, physical and biological properties. To mitigate soil degradation in the reclamation area after bauxite mining, soil fertility status monitoring is carried out. This monitoring activity was expected to be able to identify and reduce the level of soil damage in post-bauxite mining reclamation land.