bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improvement of simulated nuclear quadrupole resonance signals from explosive detection via a Red-Pitaya board
Authors: Kijamnajsuk Puchong , Wungmool Piyachat , Luengviriya Chaiya 
Published: January 2022

Abstract
In Nuclear quadrupole resonance (NQR), the interaction of the nuclear magnetic moments of quadrupolar nuclei (spin greater than 1/2) with the electric field gradient of the surrounding molecular orbitals produces an energy splitting. Because the resonant frequency is very specific to the molecular structure, the NQR can be used to detect explosive materials very accurately and it is extremely useful for detecting modern bombs whose containers made from plastics and wood instead of metals. However, NQR signals are generally very weak so they are difficult to be detected. Recently, Red-Pitaya boards, a Field Programmable Gate Array (FPGA) on Single Board Computers, have been being utilized in many electronic applications due to their small size and low cost. Since the boards can generate and acquire radio frequency signals, they can be taken as the console of portable bomb detectors. In this work, we study an improvement of the NQR signals of an explosive, ammonium nitrate with a resonant frequency of 423.6 kHz, acquired by using a Red-Pitaya board (STEMlab 125-14). To construct the NQR signals, we simulate free induction decay (FID) signals (exponential decay of sinusoidal functions) and add real measured noises from an input port of the Red-Pitaya board. To mimic real situations, the FID amplitude is varied, frequency fluctuations and phase shifts are added. The results show that averaging of signals from repeat measurements can improve the signals in all cases. To distinguish the signals from the noises, a minimal number of measurements is required. This necessary number of repeat measurements increases with frequency fluctuations and phase shifts but decreases when the FID amplitude grows.
Exploring the links between Physics and Astronomy education teaching and learning in the Philippines
Authors: Guido R M , Orleans A 
Published: January 2022

Abstract
Students consider physics to be one of the most prevalent and troublesome topics since they find physics to be a challenging course in high school and become more deceptive when they have it as an undergraduate course. The Rizal Technological University (RTU) in the Philippines offers undergraduate and graduate academic programs in astronomy. The university utilizes physics diagnostic tests to classify students’ suitability towards the course as RTU houses the Philippines’ most advanced optical telescopes and the Center for Astronomy Research and Development. The latter was established through the Department of Science and Technology to promote a research hub in the field of astronomy and space science, as well as providing support for research funding and scholarships. The study performed causal-comparative research design and correlational analytics toward students’ attitude and motivation, study habits, learning styles, professor factors, social factors, and academic grades in physics and astronomy. The study explored the links between physics and astronomy and revealed their faith in their study habits in both astronomy and physics. The findings of this study provide evidence of the link of physics and astronomy education in students’ academic programs and its value from the previous learnings of students and teaching of teachers as a critical role in predicting student performance. The increased enrolment in the academic program demonstrates the validity of the above-mentioned statements, as it enticed students to pursue astronomy as their scientific career. Other efforts are discussed in detail in this paper.
Experimental study of the adaptive gain feature for improved position-sensitive ion spectroscopy with Timepix2
Authors: Bergmann B. , Smolyanskiy P. , Burian P. , Pospisil S. 
Published: January 2022

Abstract
In the present work, we study the Timepix2 pixels’ high energy response in the so-called adaptive gain mode. Therefore, Timepix2 with a 500 μm thick silicon sensor was irradiated with protons of energies in the range from 400 keV to 2 MeV and α-particles of 5.5 MeV from 241Am. A novel method was developed to determine the energy deposit in single pixels of particle imprints, which are spread out over a set of neighbor pixels (cluster). We show that each pixel is capable of measuring the deposited energy from 4 keV up to ∼3.2 MeV. Reconstructing the full energy content of the clusters, we found relative energy resolutions (

σ

E

) better than 2.7% and better than 4% for proton and α-particle data, respectively. In a simple experiment with a 5.5 MeV α-particle source, we demonstrate that energy losses in thin (organic) specimen can be spatially resolved, mapping out sample thickness variations, with a resolution around 1–2 μm, across the sensor area. The inherent spatial resolution of the device was determined to be 350 nm in the best case.
Branching processes with resetting as a model for cell division
Authors: Genthon Arthur , García-García Reinaldo , Lacoste David 
Published: January 2022

Abstract
We study the stochastic thermodynamics of cell growth and division using a theoretical framework based on branching processes with resetting. Cell division may be split into two sub-processes: branching, by which a given cell gives birth to an identical copy of itself, and resetting, by which some properties of the daughter cells (such as their size or age) are reset to new values following division. We derive the first and second laws of stochastic thermodynamics for this process, and identify separate contributions due to branching and resetting. We apply our framework to well-known models of cell size control, such as the sizer, the timer, and the adder. We show that the entropy production of resetting is negative and that of branching is positive for these models in the regime of exponential growth of the colony. This property suggests an analogy between our model for cell growth and division and heat engines, and the introduction of a thermodynamic efficiency, which quantifies the conversion of one form of entropy production to another.
Review of the algorithms used in exhaled breath analysis for the detection of diabetes
Authors: Paleczek Anna , Rydosz Artur 
Published: January 2022

Abstract
Currently, intensive work is underway on the development of truly noninvasive medical diagnostic systems, including respiratory analysers based on the detection of biomarkers of several diseases including diabetes. In terms of diabetes, acetone is considered as a one of the potential biomarker, although is not the single one. Therefore, the selective detection is crucial. Most often, the analysers of exhaled breath are based on the utilization of several commercially available gas sensors or on specially designed and manufactured gas sensors to obtain the highest selectivity and sensitivity to diabetes biomarkers present in the exhaled air. An important part of each system are the algorithms that are trained to detect diabetes based on data obtained from sensor matrices. The prepared review of the literature showed that there are many limitations in the development of the versatile breath analyser, such as high metabolic variability between patients, but the results obtained by researchers using the algorithms described in this paper are very promising and most of them achieve over 90% accuracy in the detection of diabetes in exhaled air. This paper summarizes the results using various measurement systems, feature extraction and feature selection methods as well as algorithms such as support vector machines, k-nearest neighbours and various variations of neural networks for the detection of diabetes in patient samples and simulated artificial breath samples.
Characterization of Air Pollution in Pre-COVID 19 Time Using the IVE Model Applied to Mobile Sources in Urban Areas
Authors: Cuba Carmen , Cuba Roberto , Arroyo Victor , Morales Jose 
Published: January 2022

Abstract
In this article we present the design of effective control strategies (IVE Model), to predict atmospheric pollutants, greenhouse gases and toxins, from mobile sources, made up of 800 motorized vehicles, obtained from the records of the transport office of the Provincial Municipality of Ica. through an inventory of emissions from mobile sources, emission factors, activity and distribution of the vehicle fleet. The results obtained are Carbon Monoxide (CO, 23235.23 t/year), Volatile Organic Compounds (VOC: 12123.55 t / year), Nitrogen Oxides (Nox: 361.76 t/year), Evaporative Volatile Organic Compounds (COVevap: 455.2 t / year), Particulate Material (PM: 361.76 t / year) and Sulfur Oxides (Sox: 50.75 t / year). Where the highest CO emissions are cars and motorcycles, representing 45.72% and 36% of the total CO emissions released in the study area. It is concluded that prevention measures and actions such as transport management, control of vehicular emissions, promotion of the use of clean fuels, as a way of mitigating the atmospheric pollutants that could be generated, be established.
Analysis on the Influencing Factors of Methane Emission from Wetlands
Authors: Liu Yueqiao 
Published: January 2022

Abstract
Methane research has attracted much attention of the scientific community, not only in that its contribution to global warming is second only to carbon dioxide, but also because the value-added potential of single molecule methane is 15-30 times that of carbon dioxide. As a unique ecosystem, wetland is the “source” of methane (CH4), which is an important greenhouse gas in the atmosphere. Methane emission from wetlands is the result of the combined effects of methane production, transport and oxidation processes, in which methane production is the prerequisite for methane emission. This paper studied the effects of different factors on methane production in wetlands, including methanogens and methanotrophs, substrate, temperature, soil water, pH, and vegetation, in order to find out the main factors that affect methane emission from wetlands and their influence degree so that could provide some reference for the estimation and prediction of global greenhouse effect.
Rainstorm Disaster Prediction Based on Weather Research and Forecast (WRF): A Case of Nanjing, China
Authors: Niu Yuanying 
Published: January 2022

Abstract
Rainstorm disaster causes great damage to human lives, environment and economies. Many environmental catastrophes happened every summer in southern China as result of the rainstorm. Therefore, heavy rain prediction remains the main focus of many scholars’ attention. However, the weather forecast is inaccurate and not prompt enough, causing casualties and financial losses. Weather Research Forecast (WRF) is an effective method and is utilized in this study to predict the precipitable water vapor (PWV) in meso-and small-scale in Nanjing. Rain is formed because of the PWV in the atmosphere, and therefore precipitation could be predicted according to the PWV. A method is proposed that the amount of rainstorm precipitation could be predicted based on the PWV, which can be simulated by WRF. The experimental results are consistent with the actual rainstorm situation. It demonstrates that promising measures based on the reliable WRF model could be taken to reduce the impending disasters.
Characteristics of Surface Temperature and Its Relationship with Meteorological Elements in China in the Last 73 Years
Authors: Wu Jinhao 
Published: January 2022

Abstract
Climate, as the natural environment on which human life depends, is intricately linked to human society. This paper focuses on the characteristics of temperature and its relationship with meteorological elements in China in the last 73 years. The data of this research is from NCEP/NCAR Reanalysis Monthly Means. This study adopts the Empirical Orthogonal Function (EOF) and Singular Value Decomposition (SVD) methods to study the surface temperature characteristics within China, and the synergistic variation between surface temperature and precipitable water content, wind field, and relative humidity in China. The results show that 1980s is a turning point for changes in surface temperature, precipitable water content, wind field, and relative humidity in China. Before 1980s, the temperature in China is low, while after this period, the temperature in China is high and China’s exposure to global warming has increased. Temperature is dominated by negative potential-phase oscillations with relative humidity and wind fields. In the north, temperature and precipitable water content have negative potential-phase oscillations, while temperature and precipitable water content have positive potential-phase oscillations in the south. In the central region of Xinjiang, temperature and precipitable water content have weak negative potential-phase oscillations, while temperature and wind field have positive potential-phase oscillations.
Effect of Drying Temperature on Drying Characteristics, Total Phenolic Content and Antioxidant Activity of Slightly Sticky Mango (Mangifera Indica L.) Sheet
Authors: Nungwongsa S , Sayasoonthorn S , Jaisut D , Chungcharoen T , Thakhiew W , Thuwapanichayanan R 
Published: January 2022

Abstract
Dried slightly sticky mango sheets is healthy sweet snack, having slightly chewy texture. The objective of this work was to study the effect of drying temperatures (60, 70 and 80 °C) on the drying characteristics, total phenolic content (TPC), antioxidant activity (assessed by DPPH and ABTS scavenging activity assays) and specific energy consumption of the dried slightly sticky mango sheets. The experimental results showed that the times required to reach the desired final moisture content were 230, 150 and 120 min when drying was performed at the temperatures of 60, 70 and 80 °C, respectively. The total specific energy consumption (SECtotal) values of the drying at 70 and 80 °C were lower than that at 60 °C. However, the TPC and the antioxidant activities assessed by DPPH and ABTS scavenging activity assays were not significantly different amongst the samples dried at different temperatures.
Seismic Response Analysis of Shaft Tower Based on The Interaction of Soil-Well Bore-Shaft Tower
Authors: Han L T , Su Y P , Chen J W , Ge N 
Published: January 2022

Abstract
To study the influence of soil-well bore-shaft tower interaction on the seismic response of the shaft tower. A numerical analysis model of rigid foundation (without considering the interaction of soil-well bore-shaft tower ) and II site considering soil-well bore-shaft tower interaction is established by the finite element analysis method. The mode period, tower layer displacement and inter-story displacement of shaft tower are analyzed. The results show that, compared with rigid foundation, considering the interaction of soil-well bore-shaft tower, the mode period of the system is prolonged, the tower layer displacement and inter-story displacement of the shaft tower is enlarged. In the engineering design of shaft tower, the influence of the soil-well bore-shaft tower interaction on the seismic response of the shaft tower cannot be ignored.
The Effect of Corporate Water Disclosure on Financial Performance
Authors: Ali Inaliah Mohd , Husin Norhayati Mat , Alrazi Bakhtiar 
Published: January 2022

Abstract
Natural resources crises specifically the water crises are listed in the top ten global risk in 2021. Water demand and withdrawal increase as the population rise. To mitigate water scarcity, companies disclose more on water related information as an engagement to achieve the Sustainable Development Goal (SDG). Motivated towards exploring the impact of corporate water disclosures, this study aims to examine effect corporate water disclosures for five years to financial performance of the sample companies. The sample companies are the electric utilities companies that listed as the top 50 market capitalisation in the sector. The water related information disclosure in this study include resource reduction policy, policy of water efficiency policy of environmental supply chain, target water efficiency and environmental management team. This study found that corporate water information disclosures including resource reduction policy and policy of water efficiency) have positive significant relationship on earnings per share (EPS). However, the target water efficiency is negatively significant with EPS which explain the behaviour of electric utilities companies all this while.
Flexural Behaviour of Different Stiffener Section Area on Full Height Rectangular Opening Castellated Steel Beam
Authors: Ahyar M R , Setiyawan P , Adinata C T , Sukadana E 
Published: January 2022

Abstract
Vierendeel is one of failure mechanisms in a castellated steel beam. Vierendeel mechanism is the main failure that occurs in a full high rectangular opening castellated beam. Vierendeel decrease castellated flexural capacity compare to the original wide flange section beam. One solution to prevent the vierendeel mechanism is by installing a diagonal stiffener in form of a steel bar on a castellated beam. The research’s purpose is finding the effect of different size of steel bar diameter on the flexural capacity. Four different sizes of steel bar diameter used in this research: 10 mm, 12mm, 16 mm, and 19 mm. Castellated beam flexural capacity is analysed with the method of truss analysis and pushover analysis. This study shows it can be infer that the bigger size of steel bar diameter does not always determine the higher flexural capacity of the castellated beam. Optimum value of the beam’s flexural capacity is affected by the strength of the flange section. The largest increment of flexural capacity between original wide flange compare to the castellated beam is 139.4% by using 16 mm diameter of the diagonal stiffener.
Lightweight concrete as covers on floating house platforms made from expanded polystyrene system (EPS) material
Authors: Cahyono D B , Adi H P , Wahyudi S I , Pratikso  
Published: January 2022

Abstract
Floating houses can be utilized in coastal areas as they are equipped with platforms made from expanded polystyrene system (styrofoam) and lightweight concrete covers. A lightweight concrete cover on a floating house platform made from styrofoam can improve the feasibility of housing in terms of strength, comfort and cleanliness. This research aims to obtain mixture that meet the weight and compressive strength requirements of lightweight concrete and produce them as covers on floating houses platform. The compositions of lightweight concrete materials in this research use volume ratios of 1 Pc: 2 Sand: 3 Styrofoam, 1 Pc: 1.5 Sand: 2.5 Styrofoam and 1 Pc: 1.25 Sand: 2.75 Styrofoam. The research results show that the concrete made with styrofoam qualifies as lightweight concrete with average volume weight of concrete produced between 1000-1300 kg/m3. The lightest concrete weight (1097.88 kg/m3) could be obtained from variations of mixture of 1 Pc: 1.25 Sand: 2.75 Styrofoam, The highest concrete compressive strength results were obtained from the mixture of 1 Pc: 2 Sand: 3 Styrofoam (119.26 kg/cm2). The variations of concrete mixture of 1 Pc: 2 Sand: 3 Styrofoam can be considered as lightweight concrete (≤ 1900 kg/m3).
Evaluation of minimum ramp distance in efforts to improve performance on Jakarta - Cikampek toll road
Authors: Subiantoro W , Pratiksol  , Mudiyono R 
Published: January 2022

Abstract
Toll road ramps that connect toll roads and arterial roads are often crowded until they are jammed by the activities of workers and school deliverers. And the rush hour that occurs in the morning and evening causes congestion on toll access roads both on and off ramps. The purpose of this research to find out how the performance condition of the toll access road with the distance that is currently available.. The method used in this paper is descriptive quantitative. By using the results of the Average Daily Traffic (ADT) survey at the intersection of West Bekasi, Cibitung and West Kerawang during the morning and evening rush hours. The results of the survey and analysis using the 1997 Indonesian Road Capacity Manual (IRCM) standard obtained a ratio of volume to capacity (v/c ratio), speed and traffic density, these characteristics were then used to find the Level Of Service (LOS) obtained by LOS F (VCR >1). The conclusion from the analysis is that the performance of the connecting road/ramp often occurs during rush hour with the lowest LOS F values in the morning and evening, so it is necessary to evaluate the minimum ramp distance.
Infrastructure design and multi disasters-based land use as the main key to Palu resilience city
Authors: Kautsary J 
Published: January 2022

Abstract
Indonesia is located at the meeting point of three tectonic plates, making it at-risk to geological disasters such as volcanic eruptions and earthquakes. Earthquake disaster can cause a variety of crucial dangers, such as earthquakes, landslides, liquefaction, tsunamis, and other natural disasters, as one took place in Palu City in 2018. This study aims to identify key parameters that could increase Palu resilience in the face of calamity in the future. This study start with a literature review to determine the concept, parameters, and variables of resilience Palu City against disasters. These parameters and variables were then compared to the current condition. The findings of the literature review generated four main parameters for disaster-resilience cities: disaster risk reduction (improvement of infrastructure design and multi disasters-based land use planning), community recovery, efficient program implementation, and monitoring-evaluation. Furthermore, the comparison of these four parameters to reconstruction activities reveals that Palu city’s post-disaster reconstruction has not fully resulted in efforts to achieve the concept of a disaster-resilience city. This is because post-disaster management efforts in Indonesia are in accordance with applicable regulations, emphasizing recovery rather than mitigation in the following catastrophic events.
Analysis of Micro-Climate and Thermal Comfort in Campus Area (A Case Study: Unissula Campus, Kaligawe Semarang)
Authors: Yuliani E , Widyasamrati H , Wulandari N 
Published: January 2022

Abstract
The dynamics of air temperature cause thermal comfort to be unstable in the context of an urban micro-climate. One of the places affected by the urban micro-climate is the campus of Unissula. It lies on the main transportation route of the north coast of Central Java. To create a comfortable space in the campus environment, a local scale air temperature control method is required, one of which is the provision of green open spaces (GOS). Scenarios for providing green open space based on micro-climate dynamics must be developed to create thermal comfort. This study aimed to identify and analyze the correlation between micro-climate and thermal comfort based on the existing parameters. The research methodology employed a rationalistic quantitative deductive approach with micro-climate and thermal comfort variables, as well as rationalistic descriptive analysis technique. According to the findings of this study, the comfort of Unissula campus meets the criteria for morning air temperature of 25.42°C, daytime 31.35 °C, evening 29.92 °C. The morning humidity is relatively 73.92%, the daytime is 51.50%, and the evening is 60.57%. The thermal comfort level is moderately partly comfortable.