bluuebunny/crossref_metadata_2025_split huggingface dataset:
A scheme to fix multiple solutions in amplitude analyses*
Authors: Gao 高 Yuanning 原宁 , Rong 荣 Tianze 天泽 , Yang 杨 Zhenwei 振伟 , Zhang 张 Chenjia 辰佳 , Zhang 张 Yanxi 艳席 
Published: February 2024

Abstract
Decays of unstable heavy particles usually involve the coherent sum of several amplitudes, like in a multiple slit experiment. Dedicated amplitude analysis techniques have been widely used to resolve these amplitudes for better understanding of the underlying dynamics. In special cases where two spin-1/2 particles and two (pseudo-) scalar particles are present in the process, multiple equivalent solutions are found owing to intrinsic symmetries in the summed probability density function. In this study, the problem of multiple solutions is discussed, and a scheme to overcome this problem is proposed by fixing some free parameters. Toys are generated to validate the strategy. A new approach to align the helicities of initial- and final-state particles in different decay chains is also introduced.
Examining urban development trends and characteristics: future of public transportation in greater bandung
Authors: Suharjo I P , Leksono A A R , Aththaariq M F , Adnan U A , Evangelista  , Priadi G D 
Published: February 2024

Abstract
This article investigates the urban development trends and characteristics of Greater Bandung, Indonesia, with the goal of projecting the future urban landscape and proposing government actions. The study analyzes the existing situation of urban development in the region by utilizing government regulations, statutes, and planning documents, including designs. The findings provide a complete knowledge of how Greater Bandung’s urban landscape is anticipated to grow and highlight significant areas that require attention. The analysis identifies significant inadequacies in transportation infrastructure and underlines the need for government intervention to remedy these deficiencies by reviewing existing policies and plans. Transportation modelling was employed to give validation and sense in numerical sense of travel volumes in the roads of Bandung, helping to form a concise recommendation. The article will be useful for policymakers, urban planners, and stakeholders interested in the future development of Public Transportation in Greater Bandung. These recommendations encompass transit hubs and corridors suggestions to accommodate future growth of the city and its surrounding areas. The result of the study analysis shows that the development of the Greater Bandung Area can be done by prioritizing 7 (seven) main points of interest which are translated into 9 (nine) nodes. These nodes can be connected into 2 (two) main corridors as the backbone and 21 feeder corridors.
Counterflow riding behavior of motorcyclists: The role of moral obligation and variables in The Theory of Planned Behavior
Authors: Sirait J N , Santoso G A 
Published: February 2024

Abstract
Motorcycles are one of the most popular modes of transportation in Indonesia because of their various benefits. However, these benefits are followed by increased traffic violations, one of which is counterflow riding behavior. This study aimed to examine the more consistent relationship among variables relating to The Theory of Planned Behavior, namely attitude, subjective norm, and perceived behavioral control, as well as the variable of moral obligation with counterflow riding behavior. A correlational study was conducted on 151 motorcyclists aged 18 – 64, domiciled in Jabodetabek (Jakarta, Bogor, Depok, Tangerang, and Bekasi), with active driver’s licenses, and have done counterflow riding behavior. The results showed that attitude and moral obligation significantly correlated to counterflow riding behavior. Among the two variables, moral obligation is more consistently correlated with counterflow riding behavior than attitude. These findings imply that serious and consistent efforts are needed from law enforcement officials to educate and promote sanctions in curbing the counterflow riding behavior of motorcyclists.
Identification of crash-prone segment on Cipularang toll road
Authors: Nabila S , Kusumawati A , Weningtyas W 
Published: February 2024

Abstract
Traffic safety is an important issue in the field of transportation. Toll roads are one of the infrastructures that are prone to crashes, because on toll roads drivers can drive their vehicles at high speeds so there is a high risk of having an crash, as happens every year on Cipularang Toll Road. This research will determine the crash-prone segments on Cipularang Toll Road section using the network screening method. Crash and traffic data for the last five years (2018-2022) were obtained from PT Jasa Marga Purbaleunyi. Identification of crash-prone segments carried out using ten performance indicators contained in HSM (2010), namely average crash frequency, crash rate, critical rate, Equivalent Property Damage Only average crash frequency, relative severity index, excess predicted average crash frequency using method of moment, Level of Service of Safety, excess predicted average crash frequency using SPF, probability of specific crash type exceeding threshold proportion, and expected average crash frequency with Empirical Bayes adjustment. The analysis results show that the five segments with the highest priority for treatment are KM 91-92, KM 92-93, and KM 86-87 (Jakarta-bound direction), KM 120-121 and KM 101-102 (Bandung-bound direction).
A review of accident data for traffic safety studies in Indonesia
Authors: Kusumastutie N S , Patria B. , Kusrohmaniah S. , Hastjarjo T D 
Published: February 2024

Abstract
Accident data is a crucial indicator of traffic safety. This study investigates the use of accident data in traffic safety studies in Indonesia. The analysis was conducted on studies that met the eligibility criteria, which included using traffic accident data in Indonesia and articles published in Indonesian and English language journals or proceedings. The search was conducted on four databases: Garuda, Neliti, Google Scholar, and Scopus. The final selection resulted in 50 articles. The data analysis indicates the need for improvement in the number of studies, the utilization of data elements in investigations, supplement data, and data analysis techniques. In addition to providing recommendations to optimize the use of traffic accident data in future studies, this study also emphasizes the importance of improving the accuracy of traffic accident data.
Road safety improving in blackspot of Mount Bromo tourist road access, East Java
Authors: Sulistyono S , Fikria L , Maliq T M , Hasanuddin A , Ishak S Z 
Published: February 2024

Abstract
Mount Bromo in East Java is one of Indonesia’s priority tourist attractions. Safe, secure, orderly, and smooth traffic access is needed to support tourism. Safe roads can be an essential part of realizing this. This study aims to prioritize handling blackspots to discover safe roads. The research was conducted on three access roads to Mount Bromo from Probolinggo: Jalan Raya Sukapura, Jalan Raya Bromo, and Jalan Raya Lumbang. Analysis of the probability value of accidents, the impact value of the severity of accident victims, and the risk value of accidents are used to determine handling priorities. The results of the analysis obtained priority handling for Blackspot 1 by increasing the width of the road shoulder, Blackspot 2 by providing a crossing integrated with APILL, Blackspot 3 by completing street lighting and increasing lane width, Blackspot 4 by completing street lighting, and Blackspot 5 by increasing lane width. Prioritizing the handling of accident-prone locations in the road and environmental aspects can be done by reviewing the risk value of accidents for each road sub-component. A safe road will be realized at the Blackspot location.
Experience in calibrating the VISSIM microscopic simulation model for an unsignalized intersection in Pekanbaru, Indonesia
Authors: Muttaqin M Z , Feswiger N , Zaini A K , Kumalasari C 
Published: February 2024

Abstract
Traffic activity is unique and occurs throughout the region. All moving traffic movements cause a build up of vehicles when there are conflicts between vehicles and result in congestion, one of which is in the intersection area located on Jalan SM Amin, Pekanbaru. Traffic modelling can assist traffic management through accurate simulation results with field conditions based on driving behavior value VISSIM is a simulation tool used to simulate dynamic traffic flow conditions. The research has aim to modelling and calibrating driver behavior value based on traffic flow conditions at unsignalised intersections in Pekanbaru. This research uses simulation modelling with VISSIM as the modeler and GEH and MAPE as validation tools to choose which right model. Simulation process will used calibration process based on driving behavior value for the right model by trial and error method.. The result showed that simulation model based on default parameter of driving Behavior cannot represent for real traffic. Then changes in the combination of Driving Behaviour values affect the accuracy of model conditions with field conditions. The accuracy is measured using the reference volume of vehicles exiting the unsignalled intersection. Therefore, this research could be can assist in smoothing traffic flow model in Pekanbaru which more easily by using live traffic flow simulation that can be utilized for traffic intersection management scenarios.
Travel pattern analysis and freight trip generation modeling of textile commodities. Case study: Thamrin City Shopping Center, Jakarta
Authors: Khaerani Halisa , Nahry  , Kusuma Andyka 
Published: February 2024

Abstract
One of the sectors supporting the country’s economic development is the commercial sector. With the increasing population, the demand for consumer goods will increase, impacting trip generation. Thus, it is necessary to conduct a study to predict the trip generation of freight transport in shopping centers, especially in DKI Jakarta, with textile stores as trip generators. This research aims to determine the travel pattern of freight transport and freight trip generation models produced and attracted at the Thamrin City shopping center and to analyze the factors influencing freight trip generation. The research was conducted using a quantitative research method with a cross-sectional. Data collection used a questionnaire given to 105 merchants. Data analysis used linear regression methods with the number of freight trip production and attraction as the dependent variable. The independent variables used are the number of employees and gross floor area. The study results show that the delivery of goods using expedition services is sent to the distribution center before being sent to the destination. While shipping goods using private vehicles, sent directly to the destination location. The gross floor area significantly influences the trips generation. Transportation planners can use this research to estimate the number of trip generation in shopping center areas in the future.
T-UFF (Tracker stuff): application development for warehouse tracking
Authors: Baskara Wahyu Padma , Eucharisto Thomas More Elang , Utari Ni Kadek Rania , Soimun Ahmad , Sasue Riz Rifai Oktavianus 
Published: February 2024

Abstract
Era Society 5.0, requires the logistics agents to adapt and follow technology development to create supply chain efficiency. One of the ways is to apply the IoT to warehousing activities, creating a system design Warehouse Tracking app that works to increase order picking time efficiency. This system design application method is using the System Development Live Cycle (SDLC) and follows Object-oriented programming (OOP). This final result study is a system design application based on the IoT and QR codes for operating order-tracking goods in a warehouse. With this Tracker Stuff (T-UFF) app, the time it takes for order picking will be decreased so that it can create activity-efficient logistics for the company.
Evaluation Of The Implementation Of Traffic Separation Scheme (TSS) In The Sunda Strait
Authors: Priadi A A , Ivan R , Darsani  , Anindhyta C 
Published: February 2024

Abstract
The sea traffic separation chart or what is commonly called the Traffic Separation Scheme (TSS) is generally used to assist international shipping navigation and is also part of a country’s maritime zone as mandated in UNCLOS 1982. In this case, Indonesia has implemented TSS in the Sunda Strait and in the Lombok Strait on 1 July 2020. The Directorate General of Sea Transportation, the Ministry of Transportation is the leading agency responsible for enforcement of the scheme through the Directorate of Navigation and the Directorate has established the Merak Vessel Traffic Service (VTS) system in the Province of Banten to monitor the Sunda Strait and VTS Benoa in the Province of Bali to monitor the Lombok Strait. Since the implementation of the TSS in the Sunda Strait until now, it turns out that there are still many ships that do not comply with the traffic procedures in the TSS as regulated in such a way. The research suggestion that violations in addition to administrative sanctions for those ships who commit violations, also implement a violation reporting system application to speed up the process of reports from VTS Operators to related officials.
Assessment of road pavement conditions using Surface Distress Index (SDI) and Pavement Condition Index (PCI) methods
Authors: Hermawati Putu , Putri N P A S 
Published: February 2024

Abstract
Road pavement is an important element in transportation infrastructure that affects the comfort and safety of road users. It is important to carry out regular assessments of the condition of the road pavement. This study aims to evaluate the condition of the road pavement using the Surface Distress Index (SDI) and Pavement Condition Index (PCI) methods. It is collecting field data regarding the condition of the road pavement, including the type and extent of existing damage. This data is then analyzed using the formula that has been determined in the SDI and PCI methods. In the research that has been done, the average SDI value for flexible pavement for Jalan Gunung Agung is 18 (Good) and the average PCI value is 63.8 (Good). The technical measures that can be applied to the flexible pavement of Jalan Gunung Agung are P2 (Asphalt), P4 (Filling cracks), P5 (Filling holes), and P6 (Gravelling).
Sustainable aviation fuel development: case study in Indonesia
Authors: Nugroho D A , Sitompul M R , Widadi N 
Published: February 2024

Abstract
The usage of fossil fuel in aviation contributes to 2% of CO2 emission globally. Though the industry keeps improving the efficiency of the aircraft, the increase in activity offset this improvement. The usage of sustainable aviation fuel (SAF) may become a potential option in order to reduce emissions. SAF immediate compatibility and low emission become the main attraction for its usage. Indonesia in order to fulfill its NZE commitment is currently developing its own biofuel. This study’s objective is to obtain information on SAF or biofuel development in Indonesia by discussion with experts and stakeholders related to aviation and fuel development. By conducting this study it is known that the development of biofuel in Indonesia has successfully resulted in two products, J2.0 and J2.4, biofuel developed based on palm oil. Though these fuels have been certified domestically, their implementation still faces several issues, such as the sustainability aspect related to the CORSIA scheme, the production volume and availability, and potential price surge. Therefore through this study several recommendations are presented in the hope to accelerate the implementation. Although the direction of SAF development in Indonesia is through the usage of Palm oil as its main feedstock, Indonesia also has used cooking oil (UCO) and Sugarcane as potential feedstock to be explored. The development and implementation for these feedstock into SAF is necessary as a possible solution for reducing the greenhouse gas emission, therefore a support through financial, technological, and regulation means are necessary to be provided by all stakeholders.
Classification of stochastic processes based on deep learning
Authors: Al-Murisi Shamsan A , Tang Xiangong , Deng Weihua 
Published: February 2024

Abstract
Stochastic processes model the time evolution of fluctuation phenomena widely observed in physics, chemistry, biology, and even social science. Typical examples include the dynamics of molecular interactions, cellular signalling, animal feeding, disease transmission, financial market fluctuation, and climate change. We create three datasets based on the codes obtained from the published article; the first one is for 12 stochastic processes, the second one for the Markov and non-Markov processes, and the third one for the Gaussian and non-Gaussian processes. We do the stochastic process classification by employing a series of convolution neural networks (CNNs), i.e. VGG16, VGG19, AlexNet, and MobileNetV2, achieving the accuracy rates of ‘99%’, ‘98%’, ‘95%’, and ‘94%’ on the first dataset, respectively; in the second dataset, the test accuracy of VGG16 is ‘100%’, and for the rest of the models, it is ‘99%’; and in the third dataset, the test accuracy of all models is ‘100%’, except the VGG19, which is ‘99%’. According to the findings, CNNs have slightly higher accuracy than classic feature-based approaches in the majority of circumstances, but at the cost of much longer training periods.
Air pollution related adverse respiratory health outcomes in California’s San Joaquin Valley: evidence from 2016 linked emergency department and hospital records
Authors: Zarate-Gonzalez Gilda , Cisneros Ricardo , Gharibi Hamed , Brown Paul 
Published: February 2024

Abstract
The San Joaquin Valley (SJV) of California has been consistently identified as having one of the highest levels of air pollution in the US. Despite federal and state standards, the SJV has been in non-attainment status for daily PM2.5 concentrations, extreme non-attainment for 8 hr O3 levels, and attainment for NO2. An epidemiological time-stratified case-crossover design was used to estimate the relationship between exposure to NO2, O3, PM2.5 and adverse health outcomes in asthma and upper respiratory infections (URIs). This study compared pollutant exposure effects for each case during limited time intervals and adjusted for seasonality. Elevated concentrations of three criteria outdoor air pollutants are associated with increased asthma and URI-related ED visits and hospitalizations in the SJV for all ages. NO2 exposure increased the odds of having an ED visit by 2.4% in lag 1 (95% CI: 1.017, 1.031). Lags 2, 3, 4, 5, 7, 9, and 14 were statistically significant. O3 modestly increased the odds of ED visits by 0.3% (95% CI:1.000, 1.006) after immediate exposure in the warm season. In the cold season, PM2.5 estimates were significant for all lags except for lags 4 and 12. The two-week lag increased the odds by 28% (95% CI:1.218, 1.345) for ED visits, and 16.5% (95% CI:1.009, 1.345) increased the odds of being hospitalized after cumulative exposure to PM2.5. Findings suggest that SJV residents experience adverse health effects due to elevated exposure to NO2 despite attainment of federal and state pollutant standards. This study provides new evidence about the effects of three criteria air pollutants and adverse health outcomes in the SJV region. The air quality regulatory and public health governing bodies should consider revisions to regional pollutant thresholds and local public health strategies to prevent adverse health outcomes during short and prolonged periods of air pollution exposure.
Exercise to socialize? Bidirectional relationships between physical activity and loneliness in middle-aged and older American adults
Authors: Surkalim D L , Clare P J , Eres R , Gebel K , Bauman A E , Ding D 
Published: February 2024

Abstract
Physical inactivity and loneliness are both associated with health risks and can affect each other through various social and behavioral mechanisms. However, current evidence on this relationship is equivocal and mostly based on cross-sectional data. This longitudinal study aimed to determine whether current levels of physical activity (moderate and vigorous intensity) and loneliness are associated with future respective states of themselves and each other. We used data from waves 6-14 (2002-2018) of the Health and Retirement Study (n = 20 134) in a mixed-effects and random-intercept cross-lagged panel model. Analysis showed that current loneliness and physical activity were associated with each future respective state. Additionally, weekly participation in moderate-intensity, but not vigorous-intensity, physical activity was associated with a lower likelihood of becoming lonely in the future (relative risk [RR] = 0.94; 95% CI, 0.90-0.99). However, changes in physical activity were not associated with deviation from a person’s typical level of loneliness (for vigorous intensity, mean deviation [MD] = 0.00; 95% CI: −0.04 to 0.03; for moderate-intensity, MD = 0.01; 95% CI: −0.03 to 0.04). Loneliness was not associated with moderate- or vigorous-intensity physical activity in subsequent waves. This suggests that while lower physical activity levels can be associated with future loneliness, changing levels of physical activity has little impact on loneliness at the individual level.
No geographical differences in male mate choice in a widespread fish, Limia perugiae
Authors: Powell Chance , Schlupp Ingo 
Published: February 2024

Abstract
Behavior, like most other traits, can have a spatial component, and variability of behavior at the population level is predicted. In this article, we explore male mate choice at this level. Male mate choice, while maybe not as common as female choice, is expected to evolve when males respond to significant variation in female quality and, for example, prefer females with higher fecundity. In fishes, higher fecundity is associated with larger body size, an easily measured trait. In this study, we investigated the presence of male mate choice for larger females in a widespread species of livebearing fish, Limia perugiae, while comparing preferences between populations. We hypothesized that environmental variation, for example, in the form of salinity, might result in population differences. Using dichotomous choice tests, we analyzed behavioral data for 80 individuals from 7 distinct populations from Hispaniola. We found that L. perugiae males significantly preferred large females, but there was no significant statistical variation between populations.