bluuebunny/crossref_metadata_2025_split huggingface dataset:
Keck Infrared Transient Survey. I. Survey Description and Data Release 1
Authors: Tinyanont S. , Foley R. J. , Taggart K. , Davis K. W. , LeBaron N. , Andrews J. E. , Bustamante-Rosell M. J. , Camacho-Neves Y. , Chornock R. , Coulter D. A. , Galbany L. , Jha S. W. , Kilpatrick C. D. , Kwok L. A. , Larison C. , Pierel J. R. , Siebert M. R. , Aldering G. , Auchettl K. , Bloom J. S. , Dhawan S. , Filippenko A. V. , French K. D. , Gagliano A. , Grayling M. , Howell D. A. , Jacobson-Galán W. V. , Jones D. O. , Le Saux X. , Macias P. , Mandel K. S. , McCully C. , Padilla Gonzalez E. , Rest A. , Rho J. , Rojas-Bravo C. , Skrutskie M. F. , Thorp S. , Wang Q. , Ward S. M. 
Published: January 2024

Abstract
We present the Keck Infrared Transient Survey, a NASA Key Strategic Mission Support program to obtain near-infrared (NIR) spectra of astrophysical transients of all types, and its first data release, consisting of 105 NIR spectra of 50 transients. Such a data set is essential as we enter a new era of IR astronomy with the James Webb Space Telescope (JWST) and the upcoming Nancy Grace Roman Space Telescope (Roman). NIR spectral templates will be essential to search JWST images for stellar explosions of the first stars and to plan an effective Roman SN Ia cosmology survey, both key science objectives for mission success. Between 2022 February and 2023 July, we systematically obtained 274 NIR spectra of 146 astronomical transients, representing a significant increase in the number of available NIR spectra in the literature. Here, we describe the first release of data from the 2022A semester. We systematically observed three samples: a flux-limited sample that includes all transients <17 mag in a red optical band (usually ZTF r or ATLAS o bands); a volume-limited sample including all transients within redshift z < 0.01 (D ≈ 50 Mpc); and an SN Ia sample targeting objects at phases and light-curve parameters that had scant existing NIR data in the literature. The flux-limited sample is 39% complete (60% excluding SNe Ia), while the volume-limited sample is 54% complete and is 79% complete to z = 0.005. Transient classes observed include common Type Ia and core-collapse supernovae, tidal disruption events, luminous red novae, and the newly categorized hydrogen-free/helium-poor interacting Type Icn supernovae. We describe our observing procedures and data reduction using PypeIt, which requires minimal human interaction to ensure reproducibility.
Tighter sum uncertainty relations via (α, β, γ) weighted Wigner–Yanase–Dyson skew information
Authors: Xu Cong , Wu Zhaoqi , Fei Shao-Ming 
Published: January 2024

Abstract
We establish tighter uncertainty relations for arbitrary finite observables via (α, β, γ) weighted Wigner–Yanase–Dyson ((α, β, γ) WWYD) skew information. The results are also applicable to the (α, γ) weighted Wigner–Yanase–Dyson ((α, γ) WWYD) skew information and the weighted Wigner–Yanase–Dyson (WWYD) skew information. We also present tighter lower bounds for quantum channels and unitary channels via (α, β, γ) modified weighted Wigner–Yanase–Dyson ((α, β, γ) MWWYD) skew information. Detailed examples are provided to illustrate the tightness of our uncertainty relations.
Ground-layer Adaptive Optics for the 2.5 m Wide-field and High-resolution Solar Telescope
Authors: Yang Ying , Zhang Lan-Qiang , Yan Nan-Fei , Yang Jin-Sheng , Li Zhen , Song Teng-Fei , Rao Xue-Jun , Rao Chang-Hui 
Published: January 2024

Abstract
The 2.5 m wide-field and high-resolution solar telescope (WeHoST) is currently under developing for solar observations. WeHoST aims to achieve high-resolution observations over a super-wide field of view (FOV) of 5′ × 5′, and a desired resolution of 0.3″. To meet the scientific requirements of WeHoST, the ground-layer adaptive optics (GLAO) with a specially designed wave front sensing system is as the primary consideration. We introduce the GLAO configuration, particularly the wave front sensing scheme. Utilizing analytic method, we simulate the performance of both classical AO and GLAO systems, optimize the wave front sensing system, and evaluate GLAO performance in terms of PSF uniformity and correction improvement across whole FOV. The results indicate that, the classical AO will achieve diffraction-limited resolution; the suggested GLAO configuration will uniformly improve the seeing across the full 5′ × 5′ FOV, reducing the FWHM across the axis FOV to less than 0.3″ (λ ≥ 705 nm, r
0 ≥ 11 cm), which is more than two times improvement. The specially designed wave front sensor schedule offers new potential for WeHoST’s GLAO, particularly the multi-FOV GLAO and the flexibility to select the detected area. These capabilities will significantly enhance the scientific output of the telescope.
Controllable growth of wafer-scale PdS and PdS2 nanofilms via chemical vapor deposition combined with an electron beam evaporation technique
Authors: Gao Hui , Zhou Hongyi , Hao Yulong , Zhou Guoliang , Zhou Huan , Gao Fenglin , Xiao Jinbiao , Tang Pinghua , Hao Guolin 
Published: January 2024

Abstract
Palladium (Pd)-based sulfides have triggered extensive interest due to their unique properties and potential applications in the fields of electronics and optoelectronics. However, the synthesis of large-scale uniform PdS and PdS2 nanofilms (NFs) remains an enormous challenge. In this work, 2-inch wafer-scale PdS and PdS2 NFs with excellent stability can be controllably prepared via chemical vapor deposition combined with electron beam evaporation technique. The thickness of the pre-deposited Pd film and the sulfurization temperature are critical for the precise synthesis of PdS and PdS2 NFs. A corresponding growth mechanism has been proposed based on our experimental results and Gibbs free energy calculations. The electrical transport properties of PdS and PdS2 NFs were explored by conductive atomic force microscopy. Our findings have achieved the controllable growth of PdS and PdS2 NFs, which may provide a pathway to facilitate PdS and PdS2 based applications for next-generation high performance optoelectronic devices.
Modeling of Optimizing Multi-Hole Drilling Toolpath Distance with Multiple Tool Dimensions
Authors: Abdul Rahman N. , Rashid M.F.F. Ab. 
Published: January 2024

Abstract
Multi-hole Drilling with Multiple Tool dimensions (MDMT) is a crucial technique in today’s industry, allowing manufacturers to satisfy the increasing demand for precise and high-quality components while adopting the latest technological advancements and environmental standards. This paper introduces and validates a computational model for MDMT, offering numerous advantages over conventional drilling methods, including enhanced efficiency, accuracy, cost-effectiveness, and flexibility. The computational model was developed for the MDMT problem using the Travelling Salesman Problem (TSP) concept to measure the total toolpath distance. The Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA) are applied to solving 12 cases of MDMT problems with varying numbers of holes, classified as small, medium, and large, using MATLAB software R2022b. Note that the algorithms were evaluated based on their solution quality, with lower fitness values indicating better performance. Overall, GA performed the best across most hole configurations, achieving the optimal fitness value in 5 out of 12 cases (small, medium, and large), ACO performed better in 4 out of 12 cases (small and medium) and PSO performed better in 3 out of 12 cases (medium and large). The research emphasizes the potential of multi-dimensional tools for accomplishing intricate drilling tasks. Other than that, this paper contributes to the existing literature on MDMT and highlights the importance of multi-dimensional tools in modern manufacturing. Future research could optimize the proposed computational model for various materials and drilling scenarios in MDMT.
Determination of Tool Wear Drilling Process of Aluminum 6061 and Brass C3604 by using CNC Robodrill Machine
Authors: Salaam H.A. , Mu’tasim M.A.N. 
Published: January 2024

Abstract
Hole making process is a stimulating process as it impacts the drilling tool’s performance and wear. The main objective of this paper is to determine the drilling tool wear by using step-by-step drilling approaches used by most of the manufacturing companies. Two types of materials involved; Aluminum 6061 & Brass C3604. Firstly, the raw material grade was confirmed by testing it using an Oxford Spectrometer. Four types of drilling tools are used; center drill diameter 3.00 mm; drill diameter 10.00, 13.00 and 14.50 mm. The drilling tool material used is High-Speed Steel (HSS). The cutting parameter used is stated in detail in the methodology section. Two approach are used to determine the tool life; measuring the holes diameter produced by using Vernier caliper; graphical form with the help of the camera. The major finding of this research is the understanding on how the cutting process react with the drilling tool during the cutting process as discussed in the results and discussions. The tool life of a center drill, drilling tool diameter 10.00 mm, 13.00 mm and 14.50 mm in drilling Aluminum 6061 is 476, 250, 485 and 499 holes while for Brass C3604 is 360, 190, 360 and 375 holes.
Numerical Simulation on VIV Energy Harvesting of Four Cylinders in Close Staggered Formation with Different Mass Ratios
Authors: Alias F. , Zailani N.S.A.M , Mohd M.H. , Kasiman E.H. , Rahman M.A.A 
Published: January 2024

Abstract
Nowadays, the demand for marine renewable and clean energy from fluid flow in the oil and gas industry has made electricity the most sought-after and indispensable source of uncontrollable power worldwide. Vortex-Induced Vibrations (VIV) energy harvesting is a promising technology in harnessing energy from flowing water bodies. This study focuses on numerically investigating the VIV of rigid circular cylinders as a sustainable energy source, utilizing a Vortex-Induced Vibration Aquatic Clean Energy (VIVACE) converter to harvest energy from the ocean. Specifically, the research explores the vibration behavior of closely arranged cylinders with different mass ratios, both at low and high values. The study aims to understand the effects of mass ratios on the VIV converter’s performance with four cylinders in close staggered formation. The power conversion of the VIV energy converter model with varying mass ratios (ranging from 2.36 to 12.96) is thoroughly examined, with simulations conducted at a Reynolds number of 82000. The results demonstrate that the maximum converted power peaks at 7.48 W for a mass ratio of 2.36, whereas a higher mass ratio of 12.96 only yields 4.33 W. This emphasizes the significant impact of lower mass ratios in enhancing the power generation from VIV. Overall, the findings of this research provide essential insights to optimize the layout of VIVACE converters in a close staggered array, facilitating the efficient harvesting of energy from flowing water bodies for sustainable and clean energy resources.
Multi-Angle Swirling Fluidized Bed Drying Of Stingless Bees Pot-Pollen
Authors: Halim Luqman Abdul , Basrawi Firdaus , Yudin Ahmmad Shukrie Md , Azman Nurul Aini Mohd , Ramli Ahmad Syazwan 
Published: January 2024

Abstract
Pot-pollen is another stingless bee product, a mixture of pollen, honey, and bee enzyme stored in cerumen pots. Pot-pollen is protein rich and have therapeutic properties. However, they contain high moisture rendering them susceptible to microbial and fungi growth which will lead to spoilage without proper storage. Conventional methods to remove moisture includes sun drying, oven drying, and food dehydrators. However, they can be unhygienic, reduce pot-pollen quality, and lengthy drying time. Swirling fluidized bed dryer (SFBD) is a promising alternative as they have rapid drying time without damaging the nutrients. The addition of multi-angle swirling distributor (MASD) has the potential to improve drying performance without additional energy input. The current study aim to investigate the drying performance of swirling fluidized bed dryer with multi-angle distributor. Raw pot-pollen is dried in a lab scale SFBD at 3.0 m/s using single angle and multi-angle swirling distributors, 6767, 6730, and 6745. The results shown that the multi-angle swirling distributors 6730 and 6745 improved the drying performance of SFBD, by 17.1 % and 6.5 %, respectively. The best drying performance is shown by the 6730 distributor. Thus, multi-angle SFBD is able to rapidly dry the heat-sensitive stingless bee pot-pollen and represented significant improvement from single angle SFBD.
Mathematical Modelling of Stingless Bee Honey Dewatering using Low-Temperature Vacuum Drying with Induced Nucleation Bubbling
Authors: Ramli Ahmad Syazwan , Halim Faeeza Abdul , Halim Luqman Abdul , Basrawi Firdaus , Bakri Mohd Azwan Mohd 
Published: January 2024

Abstract
Low-temperature vacuum drying with induced nucleation boiling (LTVD-NB) was developed to dewater heat-sensitive materials such as stingless bee honey (SBH). However, its performance can be further optimised to achieve an efficient LTVD-NB operation. The objective of this paper is to investigate the most fitting drying model for dewatering SBH and to develop a suitable mathematical drying model that can be used to predict and optimise dewatering SBH using LTVD-NB. Established experimental data was used to develop the mathematical model. The data result showed that the logarithmic model had the best fit for drying SBH using LTVD-NB as compared to other models based on the highest value of R
2 and the lowest Root mean square, RMSE and reduced chi-square, χ
2 values which are 0.999988, 7.87E-05, and 1.41E-08, respectively. The model was further regressed to obtain an optimised mathematical model to better predict an LTVD-NB operation to dewater SBH. In conclusion, an optimised drying model to describe the dewatering process of SBH using the LTVD-NB method was able to be developed based on the multiple regression analysis of the obtained experimental data. Therefore, the drying model can predict the efficiency of this process just by giving the temperature and surface roughness values as input information.
Monitoring laser weld penetration status from the optical signal
Authors: Aleem S A A , Yusof M F M , Ishak M 
Published: January 2024

Abstract
Spectrometers have demonstrated their value in laser welding by facilitating the comprehension of welding dynamics and the identification of defects. However, the complex interaction between the laser beam and the material being welded makes it difficult for spectrometers to accurately capture the depth and extent of weld penetration, predominantly because plasma formation during welding interferes. This study presents an innovative approach that integrates laser technology, spectrometers, and advanced data analysis methods to classify and characterize various penetration types in pulse laser welding procedures, with notable computational efficiency. The research entailed the execution of an experiment on a boron steel plate, wherein peak power (1000-1200 kW), pulse duration (2-4 ms), and pulse repetition rate (25-50 Hz) were systematically varied to achieve diverse penetration conditions. Two categories of joints were identified based on their depth of penetration through careful analysis of the collected data. The investigation demonstrated a positive correlation between the depth of weld penetration and the increment of laser energy, with peak power ranging from 1000 kW to 1200 kW. Consequently, an elevation in light intensity was observed related to deeper weld penetration. The information is essential for understanding the relationship between laser energy and weld penetration, highlighting the importance of controlling laser parameters to achieve desired welding results. The spectrums were analyzed using Principal Component Analysis (PCA) to distinguish between different welding conditions. Overlap was observed between data from different weld conditions due to limitations imposed by the restricted dataset. Expanding the sample size can rectify this limitation and improve the accuracy and dependability of analytical outcomes. This study’s results provide valuable insights into optimizing welding parameters and improving understanding of the welding process, specifically in Tailor Weld Blanks. The findings offer potential for improving welding quality and strengthening lightweight components in high-performance industries like aerospace and automotive engineering.
Evaluation of Stability and Enhancement of Nano Fluid Methods
Authors: Shaalan Z.A. , Hussein A.M. , Abdullah M.Z. , Noor M.M. 
Published: January 2024

Abstract
Over the last ten years, there has been a substantial increase in research on nanofluids, and the findings indicate that these fluids are superior heat transfer fluids for application in engineering. The improved heat transfer is exclusively dependent on the thermal conductivity of the nanoparticles at constant particle volume concentrations and flow rates. By creating hybrid nanoparticles, one can change or vary the thermal conductivity of nanoparticles. Nanoscale particles with two or more separate components come together to form hybrid nanoparticles. Fluids made from hybrid nanoparticles are known as hybrid nanofluids. By utilizing more sophisticated materials, hybrid Nano fluids aim to significantly boost heat transmission. Results shows that the nanofluid stability is sensitive to environmental conditions including temperature, pH, and shear rate. It should be using surfactants, additives such as polymers and colloids, ultra-sonication, high shear mixing, applying magnetic field.
Wireless HVAC compressor diagnostics using state of the art machine learning-based signal analysis Z-freq 2D
Authors: Yusri Muhammad Yuszairie Bin , Ngatiman TS Dr Nor Azazi , Shamsudin Shamsul Anuar , Othman Muhammad Nur 
Published: January 2024

Abstract
One of the priorities in detecting a faulty car engine is through a method known as diagnostic, and it is very crucial as each diagnostic able to provide information and assessment to identify problems in the car A/C compressor. Early detection of a compressor malfunction, is a fast way to prevent any heavy maintenance of vehicles either in the short or long term. This paper introduced a new statistical method to find the faulty in the vehicle’s A/C compressor which is known as Z-freq 2D. The foundation of Z-freq 2D is involving the implementation of a Z-notch frequency domain filter. This approach was enhanced by using a special sensor that can detect two axial axes known as the Phantom Vibration Sensor specifically designed to detect and monitor the performance of the A/C compressor of the vehicle. Using the sensor, the data were recorded at numerous parameter sets of compressor speed. The analyzed data shows that Z-freq 2D coefficient is increase as the speed of the compressor increase over the duration of time. Z-freq 2D can be used to detect the malfunction and the irregularities of vibration signals, which may be indicated that the compressor is failing.
A Tribological Analysis of PAO-Based Hybrid SiO2-TiO2 Nanolubricants
Authors: Ismail R.N.R , Azmi W.H. , Safril  , Zawawi N.N.M. 
Published: January 2024

Abstract
Friction and wear are caused by contact between sliding surfaces over time. It is possible to reduce friction in a compressor by improving its lubrication. The nanoparticle lubrication will aid in reducing wear and friction of the piston mechanism of the compressor. This work aims to analyse the tribology properties of performance of the system employing Polyalphaolefin (PAO)-based hybrid nanolubricants. A two-step method was used to disperse SiO2 and TiO2 nanoparticles in the PAO lubricant at volume concentrations of 0.01% and 0.05% using a two-step method. Then, hybrid nanolubricants are observed visually, and their coefficient of friction (COF) is evaluated using a four-ball tribometer. The SiO2-TiO2/PAO hybrid nanolubricants were found to have a higher than 80% sedimentation ratio up to 180 hours and to be visually stable for up to 30 days. The 0.01% SiO2-TiO2/PAO has a lower COF than the base PAO 68 oil. The 0.05%, however, does not show the expected reduction. The COF ratio for volume concentrations of 0.01% and 0.05% is 0.97 and 1.01, respectively. The highest COF reduction of nanolubricants was attained up to 2.53% at 0.01% volume concentration. Therefore, 0.01% SiO2-TiO2/PAO is the ideal condition for use and is recommended for further investigations.
Hydrophobicity of laser-textured soda-lime glass
Authors: Nur Najwa K. A. , Hilmi M. , Aqida S. N. , Ismail I. 
Published: January 2024

Abstract
This paper studies the effect of the modified soda-lime glass surface that reduces water adhesion and raises the water contact angle by modifying the laser processing parameter. The study looked at how these variables affected the water contact angle and surface morphology. The characterization was performed using an inverted metallurgical microscope for surface morphology, and a sessile drop test setup for water contact angle measurement and bricklayer pattern with two different hatch spacings of 0.3 and 0.5 mm was used. The results revealed that the highest water contact angle achieved after surface modification for 0.3 mm was 98.97° at 1000 mm/min and 1.0 W while for 0.5 mm at 93.01°, at 600 mm/min and 1.2 W, improved its hydrophobicity from untextured glass 32.35°. Both sample patterns with 0.3 and 0.5 mm show no defect and all samples seem to have a mark from laser texturing with an increase in power, the laser mark on the surface becomes wider and the large gap between the line becomes more distinct. These findings are significant for designing hydrophobic glass surfaces using laser texturing.
Access for sale? Overlying rights, land transactions, and groundwater in California
Authors: Rempel Jenny Linder , Belfer Ella , Ray Isha , Morello-Frosch Rachel 
Published: January 2024

Abstract
Climate change intensifies longstanding tensions over groundwater sustainability and equity of access among users. Though private land ownership is a primary mechanism for accessing groundwater in many regions, few studies have systematically examined the extent to which farmland markets transform groundwater access patterns over time. This study begins to fill this gap by examining farmland transactions overlying groundwater from 2003–17 in California. We construct a novel dataset that downscales well construction behavior to the parcel level, and we use it to characterize changes in groundwater access patterns by buyer type on newly transacted parcels in the San Joaquin Valley groundwater basin during the 2011–17 drought. Our results demonstrate large-scale transitions in farmland ownership, with 21.1% of overlying agricultural acreage statewide sold at least once during the study period and with the highest rates of turnover occurring in critically overdrafted basins. By 2017, annual individual farmland acquisitions had halved, while acquisitions by limited liability companies increased to one-third of all overlying acres purchased. Together, these trends signal increasing corporate farmland acquisitions; new corporate farmland owners are associated with the construction, on comparable parcels, of agricultural wells 77–81 feet deeper than those drilled by new individual landowners. We discuss the implications of our findings for near-term governance of groundwater, and their relevance for understanding structural inequities in exposure to future groundwater level declines.