bluuebunny/crossref_metadata_2025_split huggingface dataset:
COVID-19 Pandemic and Transformation of Activity Space: Implications for Urban Area Planning in the Yogyakarta Metropolitan Area
Authors: Shalihati Sakinah Fathrunnadi , Kurniawan Andri , Giyarsih Sri Rum , Marwasta Djaka 
Published: November 2024

Abstract
Travel patterns and spatial behavior of people in the Yogyakarta Metropolitan Area during the COVID-19 pandemic have experienced adjustments due to restrictions on out-of-home activities. Spatial behavior has information on the coordinates of the location of the activity visited, and the area that represents this behavior is called activity space. Exploration of activity space may play an essential part in urban area planning. This study utilizes travel activity diary data before and during the pandemic for change analysis with a quantitative approach. Data before the pandemic used the Probability Proportional to Size method and random selection of respondents. While re-measurement during the pandemic, respondents were collected using convenience sampling on 109 individuals willing to re-engage in the survey while still considering population size. The generalization of findings applies to workers and part of middle-income families. A literature review strengthens the empirical findings and explores their implications. The findings indicate that the coverage area for activities has shrunk due to the pandemic, with most activity places falling within a short distance of one’s residence and from one another. The consistency of these findings in the future has implications for providing more flexible, multifunctional, and decentralized spaces equipped with safe and comfortable paths for active transportation modes and integrated with reliable communication technology services.
The Relationship Between LST, NDVI, NDBI, and OTCI in Urban Green Space in Jakarta With Geospatial Data
Authors: Azaria Linda 
Published: November 2024

Abstract
Mapping uses geospatial data on the Vegetation Index, Chlorophyll Index or OTCI, Land Surface Temperature, the Built-up area Index in Jakarta and calculates the correlation of these variables using the Pearson correlation method with samples as many as 30. The correlation results of NDBI, NDVI, LST, and OTCI show that there are strong and not strong relationships between the two variables. There are strong correlations between the two variables, these are NDBI and LST with a correlation of 0.751, NDBI with NDVI has -0.904, NDVI with LST has -0.711, and OTCI with NDVI has 0.428. Meanwhile, the correlation is less strong between the two variables, these are OTCI and LST with a correlation of -0.140 and OTCI with NDBI with a correlation of -0.268.
Identification of Groundwater Aquifer Layers in Manyarejo Subdistrict Using the Schlumberger Configuration Geoelectric Method
Authors: Mosakarli Mayo , Irawan Listyo Yudha 
Published: November 2024

Abstract
Research was conducted to determine the groundwater aquifer layer in Manyarejo Village, Gresik Regency using the Schlumberger configuration 1D geoelectric method. This method is carried out by injecting an electric current into the earth through two electrodes and their potential current. If an electric current is injected into a medium and the potential voltage difference is measured, the resistance value of the medium can be estimated. This research was carried out at 8 points with a track length of 300-700 meters. Then measure with a resistivity meter. Then the data obtained is processed with the IP2Win application to create a picture of the subsurface structure. After interpretation, the results showed that the aquifer consists of 3 layers consisting of clay, clay sand, sand with clay and gravel. And groundwater in aquifer 1 is directed to the West (GL-8), while aquifer 2 is directed to the West and is directed to the North (GL-6). Aquifer 3. Groundwater is found in the resistivity value range of 1 to 100 Ohm Meters. In general, groundwater in aquifer 1 has a resistivity value 1 to 10 Ohm meters, while in aquifer 2 it has a resistivity value of 5 to 20 Ohm meters.
Smart Environment Implementation Study in Samarinda
Authors: Setyasih Iya’ , Satria Janu Purba , Sulistioadi Yohanes Budi , Setiawan Yunianto , Anwar Yaskinul , Juhardika Aureliya C , Masita  
Published: November 2024

Abstract
Samarinda, as a buffer for the Indonesian Capital City (IKN), needs to carry out development transformation to suit developments in science and technology and needs. The aim is to overcome environmental problems that cause increased flooding, traffic jams and under resourced neighbourhoods, making Samarinda City an uncomfortable place to live. To overcome this, it is necessary to apply the smart environment concept. This research examines the implementation of a smart environment, and the obstacles faced in its implementation in Samarinda City. Research analysis uses SWOT by determining the IFAS and EFAS for implementing the smart environment. The results of the SWOT analysis are in quadrant I (x, y = 1.71; 1.10), meaning that the implementation of a smart environment in Samarinda City needs to be carried out with a growth strategy (intensifying existing resources). The obstacles to implementing a smart environment in Samarinda City in the environmental protection program are not yet using IoT to monitor pollution, the high volume of waste that has not been handled, the absence of regional regulations regarding the use of renewable energy and energy efficient building design. For this reason, support and cooperation from the government, private sector and society is needed.
Strain analysis in a 3D printed car brake pedal by numerical and experimental methods
Authors: Cristian Dudescu Mircea , Racz Laszlo , Vilău Cristian 
Published: November 2024

Abstract
This paper presents the strain analysis in a brake pedal manufactured by additive technologies. A commercial plastic pedal made by injection moulding was optically scanned using a scanning system based on fringes projection. The result was a CAD model of the pedal that can be used in both numerical simulations and 3D printing. Two models of the pedal with 100% infill rate and a grid infill pattern were produced by 3D printing on an industrial printer, the difference between the two models is laying in the orientation of the printed part in the printer workspace. Resistive strain gauges were applied to determine the mechanical behaviour of the printed pedals regarding the injection moulded version. To perform a comparative study of the experimentally obtained results, pedals with similar mechanical characteristics to those measured experimentally were analysed numerically by the finite element method. The numerical results showed a good convergence with the experimental results, with relative deviations of 13% for the printed pedal with outer filaments oriented longitudinally to its longitudinal axis, 7.3% for the printed pedal with outer filaments oriented transversely and 2.8% for the homogeneous (injected) pedal. The results also demonstrated the possibility of replacing in the future complex, parts made today by conventional technologies with 3D printed elements having mechanical characteristics allowing them to fulfil a functional role.
Optimizing Milling Processes through FEA: An In-depth Analysis of Cutting Tool Geometric Parameters and Their Impact on Performance of milling.
Authors: Necpal Martin , Peterka Jozef , Vozár Marek 
Published: November 2024

Abstract
In the rapidly advancing world of manufacturing, the optimization of cutting processes is of paramount importance for enhancing efficiency and product quality. This work underscores the necessity of employing Finite Element Analysis (FEM) for a comprehensive understanding and improvement of cutting processes. By leveraging DEFORM we create a detailed 2D simulation of the milling process, allowing for an unprecedented inspection of the procedure in a virtual environment. Central to our investigation is the variation of geometric parameters of the cutting tool within the FEM simulation model, offering insights into how minute alterations can significantly affect the outcome of the milling process. The study systematically analyzes the impact of the milling tool’s geometric parameters on various process parameters, including chip formation and cutting forces. This analysis is critical for identifying optimization opportunities in tool design and process settings. Furthermore, we delve into the stress-strain state of the cutting zone, a factor crucial for understanding the material behavior under operational conditions and ensuring the structural integrity of the final product. Through our findings, we demonstrate that strategic modifications in the geometric parameters of the cutting tool can lead to substantial improvements in process performance. This research not only contributes to the body of knowledge on milling processes but also provides practical recommendations for engineers and manufacturers striving to optimize their cutting operations through the application of FEM.
Microstructure and surface properties of Co-based brazed alloys coatings
Authors: Anghel (Petculescu) Iasmina-Mădălina , Uțu Ion-Dragos , Uțu Diana , Titus Constantin Albert 
Published: November 2024

Abstract
The paper investigates the characteristics of two different manufactured high temperature brazed coatings using a cobalt based powder applied onto the surface of a stainless-steel substrate (AISI 904L). The coatings are intended to shield components exposed to high temperatures in an atmosphere where wear is expected. Energy dispersive analysis (EDX) together with scanning electron microscopy (SEM) was used to characterise the coating microstructure and morphology, and X-ray diffraction was used to identify the phase composition. Properties evaluations were carried out on the coatings’ surface characteristics, including hardness, erosion behaviour and hot corrosion resistance. The hot corrosion test was conducted at 650°C in a salt mixture that contained 75 wt. % sodium sulphate (Na2SO4) and 25 wt.% sodium chloride (NaCl). Alumina particles were used in the erosion tests, which hit the samples surface with an impact angle of 90°.The degree of corrosion attack, erosion behavior and hardness depended on the microstructure of the manufactured vacuum brazed coatings.
Investigation of an Automotive Part Obtained by the WIG Process
Authors: Chepetean Florin , Ioana Feier Anamaria , Felicia Veronica Banciu 
Published: November 2024

Abstract
The paper presents a case study from the automotive industry, namely a part made of Inconel 713C and 18/8 L stainless steel and further focuses on the study and analysis the applicability of the WIG process in the automotive industry. The WIG process chosen for the joining of the two components and all the steps from pre-assembly to the examination part will be presented. In a context where quality and performance requirements are critical, WIG welding is a key element in manufacturing processes.
Effect of different parameters on mode I fracture toughness of resin samples manufactured by DLP
Authors: Vasile Baban Marian , Viorel Coşa Alexandru , Linul Emanoil 
Published: November 2024

Abstract
Additive manufacturing is spreading rapidly in almost all industries, from household to advanced engineering. Components produced by Digital Light Processing (DLP) are not comprehensively characterized, but exceed the capabilities of many AM processes. Its advantages include the ability to produce highly complex designs, superior precision, fast printing and lower operating costs. The present paper investigates the mode I fracture toughness (KIC) of UV-sensitive resin specimens obtained through DLP process. Single edge notch bending (SENB) specimen were 3D printed and tested according to the ASTM D5045 standard. The influence of printing orientation-PO (0°, 45° and 90°), resin color-RC (white, black and transparent) and corrosive environment-CE (air, water and saline solution) was studied. It was observed that all the studied parameters have some effect on the fracture properties. The highest KIC values were obtained for 45°-PO, white-RC (1.88 MPa•m0.5) and saline solution-CE (2.24 MPa•m0.5). However, the greatest influence is highlighted by RC (∼92%), while CE (∼32%) shows a minimal effect. The fracture surface of the investigated samples is influenced by the printing parameters.
Obtaining antimicrobial polymer composites based on copper oxide nanoparticles for sports medical devices.
Authors: Dzitac V , Rusu G I , Gherman V , Valean E , Vodă M , Șerban V-A 
Published: November 2024

Abstract
The beneficial effects of using antimicrobial materials in eliminating or inhibiting microbial proliferation on surfaces are well known, thus contributing to reducing the risk of diseases resulting from accidents involving pathogenic microorganisms. The addition of certain metal particles in various proportions, (for example, silver, copper, or their oxides), in polymer matrices represents an effective method for producing new high-quality antimicrobial materials. In this study, the aim was to obtain a polymer/copper oxide composite with superior biocidal behaviour by using proportions ranging from 3-10% of copper oxides and polymers with different characteristics. The composites were prepared by melt mixing at various temperatures, durations, and homogenization speeds. Subsequently, the necessary samples for investigations were obtained through thermoforming. To evaluate the composite, tests were performed to determine mechanical characteristics, to verify the uniformity of particles in the composite material, and to test antimicrobial efficacy. The results demonstrated that the PP/CuO composite exhibited improved properties compared to pure polymers. These obtained characteristics recommend its potential use in medical devices for prevention or protection (examples include finger, ankle, or tendon prostheses), which can be produced through additive manufacturing or thermoforming.
Statistical method of extracting assembly stresses in over-constrained solder-less press-fit pin technology for vibration reliability analysis
Authors: Drienovsky Mihai , Marius Pop Daniel , Sorin Nes Cristian , Davidescu Arjana 
Published: November 2024

Abstract
Solderless press-fit technology is increasingly favored over lead-free solder mountings due to cost-effective design benefits amid lead-free regulations. However, its over-constrained nature causes assembly issues and preload stress in pins, leading to fatigue failure under vibration. This paper extends previous research by presenting a method to evaluate the robustness of these assemblies under vibration-induced fatigue, considering assembly-induced stresses as static preload stress. The proposed statistical method uses Monte Carlo simulations to compute the distribution of pin failures due to fatigue, providing a comprehensive analysis that traditional worst-case FEA simulations cannot. This approach aids in identifying worst-case scenarios, predicting failure percentages, ranking designs, and improving design robustness through iterative feedback during the design phase.
Tensile properties of Romanian “Țurcana” sheep wool farm-waste fibers
Authors: Sosdean Corina , Galatanu Sergiu-Valentin 
Published: November 2024

Abstract
With a long tradition in sheep farming, Romania is still one of the major sheep breeding countries in Easter Europe with the “T urcana” sheep breed playing a central role. In recent decades, wool has been increasingly considered waste from the shearing process, yet its potential as a natural, renewable, biodegradable fiber offers opportunities for its use as raw construction material due to its beneficial characteristics and eco-friendly nature. With a focus on reducing environmental impact and optimizing its functionality, this study conducts tensile testing on “T urcana” wool to evaluate its strength and explores the potential of utilizing wool fibres as reinforcement in newly developed composites.
A deep learning-based intelligent method for mining sentiment words in english translation texts
Authors: Li Xiaoli 
Published: November 2024

Abstract
The current conventional sentiment lexicon mining methods mainly achieve lexical extraction by mining the sentiment features of words, which leads to poor mining effect due to the lack of sentiment lexicon construction. In this regard, the intelligent mining method of sentiment lexicon of English translation text based on deep learning is proposed. The intelligent mining algorithm is optimized by extracting lexical templates with generality, constructing sentiment lexicon, and building convolutional network to extract lexical features. The experimental results showed that this mining method had an accuracy of over 85% in mining emotional vocabulary in translated texts, which was higher than other algorithms. Meanwhile, the mining time required for this algorithm was not yet 4.5 min. The above results indicated that the proposed method had higher accuracy and faster speed in mining emotional vocabulary in English translation texts.
Diverse Explanations From Data-Driven and Domain-Driven Perspectives in the Physical Sciences
Authors: Li Sichao , Wang Xin , Barnard Amanda S 
Published: November 2024

Abstract
Machine learning methods have been remarkably successful in material science, providing novel scientific insights, guiding future laboratory experiments, and accelerating materials discovery. Despite the promising performance of these models, understanding the decisions they make is also essential to ensure the scientific value of their outcomes. However, there is a recent and ongoing debate about the diversity of explanations, which potentially leads to scientific inconsistency. This Perspective explores the sources and implications of these diverse explanations in ML applications for physical sciences. Through three case studies in materials science and molecular property prediction, we examine how different models, explanation methods, levels of feature attribution, and stakeholder needs can result in varying interpretations of ML outputs. &#xD;Our analysis underscores the importance of considering multiple perspectives when interpreting ML models in scientific contexts and highlights the critical need for scientists to maintain control over the interpretation process, balancing data-driven insights with domain expertise to meet specific scientific needs. By fostering a comprehensive understanding of these inconsistencies, we aim to contribute to the responsible integration of eXplainable Artificial Intelligence (XAI) into physical sciences and improve the trustworthiness of ML applications in scientific discovery.
Manipulation and Sexual Consent
Authors: Boonin David 
Published: November 2024

Abstract
This chapter discusses two kinds of case where consent to sex can seem problematic even if no coercion, deception, or incompetence is involved. The first section addresses cases involving positional inequality, like that between a therapist and their patient or between a professor and their student. It provides an explanation of, and a critical response to, David Archard’s argument for the claim that sexual consent is invalid in such cases because it involves a kind of exploitation. This section concludes that sex in such cases may well be wrong for other reasons but rejects the claim that it involves sex without valid consent if no coercion, deception, or incompetence is involved. The second section considers whether offering someone a large amount of money in exchange for sex invalidates the consent that the offer elicits. This section is divided into two parts. The first part explains and argues against the claim that such offers invalidate consent because they are, in effect, so good that they can’t be refused and thus coerce people into accepting them. The second part explains and argues against the claim that such offers invalidate consent because they impair the judgment of the people who receive them and thus leave them unable to competently consent to them. This section concludes that such offers do not invalidate the consent to sex that they elicit.
CP’s Account of Action Understanding and the Deflationary Challenge
Authors: Borg Emma 
Published: November 2024

Abstract
According to common-sense psychology (CP), to understand the actions of others we typically assign them appropriate reasons and reasoning (your jar-reaching behaviour makes sense because I think you want a cookie and believe there is one in the jar). Recently, however, this account has come under significant pressure and many theorists now hold that CP underpins (at best) only a tiny fragment of our understanding of the actions of others. This chapter sets out this challenge, first by clarifying what is involved in CP’s account of action understanding and then by introducing the idea of ‘deflationary’ accounts of action understanding. The chapter then looks at the arguments commonly adduced for the view that mental state attribution, particularly when it involves states like beliefs and desires, must be a highly complex and demanding skill (a skill which is too complex to explain action understanding in animals, infants, or adults under pressure).
Mild behavioural impairment in Parkinson’s disease: a systematic review
Authors: Yu Ruan-Ching , Chan Lung , Chou Szu-Yi , Lin Li-Fong , Hu Chaur-Jong , Hong Chien-Tai 
Published: November 2024

Abstract
Behavioural symptoms are common manifestations of Parkinson’s disease (PD). Early behavioural symptoms characterise mild behavioural impairment (MBI). The prevalence and intensity of MBI in people with PD (PwP) have been studied across various cohorts. However, methodological differences have obscured our understanding of MBI in these individuals. This systematic review examines and synthesises findings from relevant studies, enhancing understanding of the symptoms and implications of MBI in PD. Nine studies from five separate research institutions were identified. The conceptualisation of MBI varied considerably, affecting the reported prevalence rates of MBI in individuals with early-stage PD. Among PwP, MBI was associated higher education and impaired cognition. Affective dysregulation and impulse control disorders were primary contributors to MBI; abnormal perception was least contributor. This systematic review underscores the specific characteristics and incidence of MBI in early-stage PD. Mood and impulse control disorders are primary concerns associated with MBI. Future longitudinal studies are required to clarify the progression of these symptoms and evaluate MBI’s potential as an indicator for PD-related dementia or increased dependency.
“Bridging cultures with love”: Spirituality in fostering intercultural effectiveness. The effects of language
Authors: Wilczewski Michał , Gorbaniuk Oleg , Gut Arkadiusz , Wołońciej Mariusz 
Published: November 2024

Abstract
Research yields contradictory results on the relationship between an individual’s spirituality, that is, the relationship with God/the Transcendent, and their cultural development. To address this gap, we conceptualize a model that investigates the effects of two spirituality dimensions, namely felt love for God and love for others, on the behavioral aspect of intercultural competence, that is, intercultural effectiveness (IE), through ethnocentrism. This model undergoes testing using a sample of 144 international students who self-identify as Christians, Muslims, belonging to other religions, and non-religious. The results confirm the positive impact of spirituality on IE by reducing ethnocentrism. We establish suppressing effects of both love for God and love for others, suggesting intricate dynamics of these two spirituality dimensions within the intercultural communication model. Furthermore, we identify the direct effects of host language and English as a lingua franca proficiency on IE. We also define the mitigating effect of host language proficiency on the adverse impact of ethnocentrism on IE. This study underscores the importance of higher education institutions to nurture students’ relational spirituality and support them in overcoming ethnocentric perspectives.