bluuebunny/crossref_metadata_2025_split huggingface dataset:
Beyond Limits: A Brief Exploration of Fault Detection and Balancing in Lithium-ion Battery Technology
Authors: Madani S S , Ziebert C 
Published: March 2024

Abstract
The process of achieving balance among sequentially connected cells is crucial to prevent excessive charging or discharging, and it also improves the overall energy capacity. This article discusses various algorithms created for equalizing cell charge within a battery management system (BMS). Proper cell balancing is indispensable for upkeeping lithium-ion battery (LiB) packs. Within the BMS, identifying faults is of utmost importance. This encompasses detecting, isolating, and estimating faults. To prevent batteries from operating in unsafe ranges, it is vital to ensure the accurate functioning of current, voltage, and temperature sensors. Accurate fault diagnosis is pivotal for the optimal operation of battery management systems. In the context of electric vehicle battery management systems, precise measurement of current, voltage, and temperature is greatly relied upon to estimate the State of Charge (SOC) and overall battery health. Swiftly identifying early failures can mitigate safety hazards and minimize damage. Nevertheless, effectively pinpointing these initial failures using genuine operational data from electric vehicles remains a intricate task. This paper presents an analysis of different algorithms for detecting balancing-related faults, covering both methods based on models and those not reliant on models. The strengths and weaknesses of the evaluated algorithms, along with upcoming challenges in the realm of balancing and fault detection for LiBs, are also discussed in this document.
A liquid-phase loop-mode argon purification system
Authors: Vogl Christoph , Schwarz Mario , Krause Patrick , Zuzel Grzegorz , Schönert Stefan 
Published: March 2024

Abstract
Noble gas and liquid detectors rely on high chemical purity for successful operation. While gaseous purification has emerged as a reliable method of producing high-purity noble fluids, the requirement for large mass flows drives the development of liquid-phase purification. We constructed a medium-scale liquid argon (LAr) purification system based on a copper catalyst and 4 Å molecular sieve capable of purifying 1 t of commercial LAr 5.0 to a long effective triplet lifetime of τ3 ∼ 1.3 μs. We further demonstrate that a quenched effective triplet lifetime of τ3 ∼ 1 μs, due to contamination by air, can be recovered in loop-mode purification to τ3 ∼ 1.3 μs after > 20 volume exchanges.
Birefringence Behaviors of Cellulose Nanocrystals under Varied Concentrations, Ultrasonication Treatments, and Different Solvents
Authors: Masruchin N , Zendrato H M , Jayalaksmana M , Nugroho R W N , Holilah  , Nuryawan A , Mardawati E , Lawi A , Park B D , Azizan A 
Published: March 2024

Abstract
Self-assembly of cellulose nanocrystal (NCC) in suspension has unique characteristics under polarize observation which is called as birefringence behaviors. However, the study about these phenomena is lacking especially when the NCC is prepared in dried powder form. Here, we reported the behaviors of commercial NCC obtained from CelluForce NCC, NCV100-NASD90 dispersed in different concentrations (0.1% to 8% weight/weight); ultrasonic times (0 to 45 minutes); solvents (Benzene, N,N-Dimethylacetamide (DMA), Ethanol, Dimethylformamide, Acetone, Acetic acid 1%, and Water) for their birefringence manners. In addition, nanocellulose obtained from TEMPO mediated oxidation and organic acid hydrolysis were also reported. Dried powder NCC showed shear thickening behavior at high concentration and well-dispersed at acetic acid and water solvent indicated the redispersable NCC. While, cellulose NCC, NCV100-NASD90 considerably low dispersion in non-polar solvents. Birefringence appears only when the suspension was in anisotropic state due to stirring. As sonication times increased, the birefringence clearly visible which suggested the defibrillation of aggregated cellulose crystal. The results of this study authenticated that redispersable NCC could be obtained from dried powder cellulose and provided birefringence behavior by managing concentration levels, sonication times and perfect solvents to dilute.
Generating scalable graph states in an atom-nanophotonic interface
Authors: Chien C-H , Goswami S , Wu C-C , Hiew W-S , Chen Y-C , Jen H H 
Published: March 2024

Abstract
Scalable graph states are essential for measurement-based quantum computation and many entanglement-assisted applications in quantum technologies. Generation of these multipartite entangled states requires a controllable and efficient quantum device with delicate design of generation protocol. Here we propose to prepare high-fidelity and scalable graph states in one and two dimensions, which can be tailored in an atom-nanophotonic cavity via state carving technique. We propose a systematic protocol to carve out unwanted state components, which facilitates scalable graph states generations via adiabatic transport of a definite number of atoms in optical tweezers. An analysis of state fidelity is also presented, and the state preparation probability can be optimized via multiqubit state carvings and sequential single-photon probes. Our results showcase the capability of an atom-nanophotonic interface for creating graph states and pave the way toward novel problem-specific applications using scalable high-dimensional graph states with stationary qubits.
Design and fabrication of bioinspired pattern driven magnetic actuators
Authors: Khecho Anasheh , Joyee Erina Baynojir 
Published: March 2024

Abstract
Additive manufacturing (AM) has drawn significant attention in the fabrication of soft actuators due to its unique capability of printing geometrically complex parts. This research presents the design and development of an AM process for bioinspired, deformable, and magnetic stimuli-responsive actuator arms. The actuator arms were fabricated via the material extrusion-based AM process with magnetic particle-polymer composite filaments. Inspired by the rhombus cellular structure found in nature, different design parameters, such as the line width of the interior rhombus sides, and 3D printing parameters were studied and optimized to fabricate actuator arms that exhibit enhanced flexibility while being magnetically actuated. The trigger distance and deformation experiments revealed that the width of the rhomboids’ sides played a critical role in magnetic and bending properties. It was found that the sample with a line width of 550 µm and printing layer thickness of 0.05 mm had the maximum deflection with a measured bending angle of 34 degrees. The magnetic property measurement exhibited that the sample with a line width of 550 µm showed the maximum magnetic flux density of 3.2 mT. The trigger distance results also supported this result. A maximum trigger distance of 8.25 mm was measured for the arm with a line width of 550 µm. Additionally, tensile tests showed that the sample exhibited a 17.7 MPa tensile strength, 1.8 GPa elastic modulus, and 1.3% elongation. Based on these results, we successfully fabricated a 3D printed magnetic gripper with two rhombus cellular structured arms which showed grasping and extensive load lifting capability (up to ∼140 times its weight).
Improving fatigue properties of normal direction ultrasonic vibration assisted face grinding Inconel 718 by regulating machined surface integrity
Authors: Xu Nianwei , Kang Renke , Zhang Bi , Zhang Yuan , Wang Chenxu , Bao Yan , Dong Zhigang 
Published: March 2024

Abstract
Fatigue properties are crucial for critical aero-engine components in extreme service environments, which are significantly affected by surface integrity (SI) indexes (especially surface topography, residual stress σ
res, and microhardness) after machining processes. Normal-direction ultrasonic vibration-assisted face grinding (ND-UVAFG) has advantages in improving the machinability of Inconel 718, but there is a competitive relationship between higher compressive σ
res and higher surface roughness R
a in affecting fatigue strength. The lack of a quantitative relationship between multiple SI indexes and fatigue strength makes the indeterminacy of a regulatory strategy for improving fatigue properties. In this work, a model of fatigue strength (σ
f)sur considering multiple SI indexes was developed. Then, high-cycle fatigue tests were carried out on Inconel 718 samples with different SI characteristics, and the influence of ND-UVAFG process parameters on SI was analyzed. Based on SI indexes data, the (σ
f)sur distribution in the grinding surface layer for ND-UVAFG Inconel 718 samples was determined using the developed model, and then the fatigue crack initiation (FCI) sites were further predicted. The predicted FCI sites corresponded well with the experimental results, thereby verifying this model. A strategy for improving the fatigue life was proposed in this work, which was to transfer the fatigue source from the machined surface to the bulk material by controlling the SI indexes. Finally, a critical condition of SI indexes that FCI sites appeared on the surface or in bulk material was given by fitting the predicted results. According to the critical condition, an SI field where FCI sites appeared in the bulk material could be obtained. In this field, the fatigue life of Inconel 718 samples could be improved by approximately 140%.
4D printing of polylactic acid (PLA)/thermoplastic polyurethane (TPU) shape memory polymer – a review
Authors: Hamidi Muhammad Nafiz , Abdullah Jamaluddin , Shuib Raa Khimi , Aziz Izhar , Namazi Hamidreza 
Published: March 2024

Abstract
Recently, there has been rising interest in 4D printing (4DP) technology. It is a new technology that emerged from 3D printing technology but can produce a dynamic product that can change its shape and properties when subjected to external stimuli. 4DP is an additive manufacturing process that uses materials receptive to stimuli, such as shape memory polymer (SMP), that can alter its shape once exposed to applied stimuli like heat, water, light, electricity, pressure, etc. Two frequently used SMPs are polylactic acid (PLA) and thermoplastic polyurethane (TPU), owing to their excellent shape memory properties, biodegradability, and biocompatibility. The shape memory performance of the 4D printed SMP is quantified by shape recovery ratio (Rr) and shape fixity ratio (Rf), which is highly dependent on the printing parameters. Some of the important printing parameters that influence shape memory performance are printing speed, raster angle, layer thickness, and nozzle temperature. Due to 4DP’s ability to produce a dynamic product, it is widely used to revolutionize several fields such as biomedical, textile, aerospace, soft robotic, and electronic fields. This review paper discusses and provides a better understanding of the 4DP technology, the shape recovery mechanism, the effect of 4DP parameters on shape recovery performance, applications of 4DP technology, challenges faced, and future perspectives regarding the 4DP technology.
Future Directions and New Approaches to Study Ancient Populations
Authors: Malgosa Assumpció , Armentano Núria , Castells Laura , Santos Cristina 
Published: March 2024

AbstractThe last chapter of the book is an invited contribution exploring the potential of new methods and datasets, such as aDNA and paleoanthropological studies, in understanding ancient demography, migratory processes, and health in the Iberian peninsula. While these fields are still young in Spain and Portugal, they are expected to develop in the near future and provide alternative data that may challenge or complement our present views. Genetic studies using ancient material make possible obtaining large amounts of data about population, family relationships, kinship, and the movement of individuals. Similarly, the study of health, pathologies, and pandemics has started to merge with the study of ancient demography, and osteoarchaeological studies can provide an alternative view of general demographic characteristics. Chapter 8 integrates palaeodemographic, anthropometric, palaeopathological, and palaeodietary data from numerous burials and some necropoleis in the province under study showing some initial results and the potential these types of studies will have to understand ancient demography in the future.
Psychology
Authors: Deaves Richard 
Published: March 2024

Abstract
This chapter provides the necessary background on the psychological tendencies that can impact individual financial decision-making. The dual process theory of the mind causes one to question if the rational component of one’s mind is even in charge. Those high in cognitive ability tend to obtain positive life outcomes, and there is evidence that this extends to financial behavior. Decision-making shortcuts known as heuristics, though needed because decisions have to be made in real time, can lead to not just error but systematic error. The Big Five model of personality is a good way to organize the traits of individuals. Two traits from this model, conscientiousness and emotional stability, are likely to contribute to financial success. It is also helpful to not be overly prone to inflated self-image.
Savers
Authors: Deaves Richard 
Published: March 2024

Abstract
This chapter focuses on saving, both rational and less than rational. After a brief overview of pensions, there is an example of planned saving designed to fund a reasonably comfortable retirement. Next, more rigorously, the rational life-cycle model of consumption and saving based on utility optimization (and what it implies for saving over the life cycle) is presented. Such an approach implies consumption smoothing, and yet there is evidence that many do not act in this way, primarily because they are hyperbolic discounters subject to present bias. The postretirement asset decumulation phase and limited take-up of annuities on retirement are also discussed.
Debtors
Authors: Deaves Richard 
Published: March 2024

Abstract
This chapter focuses on the credit decisions of individuals. How debt fits into the life-cycle model is described. The life-cycle model implies that people typically borrow early in their lives to pay for their education and the start of their careers but become eventually become savers building up assets for retirement. Unfortunately, debt can have a dark side. This dark side is on display in the inappropriate use of payday loans and credit card debt. Mortgages are a major form of household debt. The importance of mortgage term is explored, along with when it makes sense to refinance or even default.
Conclusion
Authors: Deaves Richard 
Published: March 2024

Abstract
The conclusion summarizes many of the principal findings about the behavior of individual financial decision makers learned through abundant research effort. Some best practices are also described. One example is the need to design a careful saving plan to fund a comfortable retirement. Another is to seek to understand the nature of risk, and how risk taking should vary over the life cycle. Credit will naturally occur over the life cycle, but it should not be undertaken because of impulsivity. Insurance should be done carefully to protect the assets of households from adverse events. The acquisition of financial literacy facilitates wise choices in these and other financial matters.
Migrating Concepts
Authors: Weise Julie M , Rass Christoph 
Published: March 2024

Abstract
The Bracero Program (1942–64), a bilateral agreement to regulate labor migration between the United States and Mexico, oversaw more than four million contracts enabling Mexican men to work “temporarily” in the United States. Historians of the Mexico-US borderlands and of global migration have interpreted the program through hemispheric as well as broader imperial lenses. Yet this article shows that the program’s foundational ideas emerged from two decades of transatlantic exchange and circulation that cannot be contained within a single continent, nor a single framework such as imperialism. During the interwar period, Mexican politicians, intellectuals, and migrant labor activists eagerly participated in transatlantic and inter-American dialogues about migration policy, compared themselves to Italy, and admired the bilateral labor migration agreements that had recently emerged in Europe. Meanwhile, US officials heard but resisted pleas from migration scholars and the International Labor Organization to emulate European receiving countries. The two parties’ differing engagements with European migration policies meant that when World War II pushed US officials to suddenly propose the agreement, Mexican actors’ transatlantic knowledge inspired their participation and crucially shaped the program’s design. This article thus pushes historians of migration policy towards studies of not just comparison but also entanglement.
The “Evil Spectators?”
Authors: Kim Diana 
Published: March 2024

Abstract
This article rethinks the relationship between opium and empire in twentieth-century Asia. A rich scholarship focuses on the success of anti-opium activists, whose moral crusades gave birth to today’s global drug control regimes. By contrast, I center attention on the lesser-known pro-opium forces, demonstrating how “bad” actors, recognized now as apologists for a dangerous drug, were once essential stakeholders in imperial rule. This article traces the interconnected lives of actors that favored continuing the drug’s legal commerce across Southeast Asia: the merchants, bankers, agents of shipping firms, insurance agencies and warehousing companies as well as employees of colonial industries and governments that sustained opium supply chains from India to British Malaya and French Indochina into the 1930s. Hardly a coherent coalition of profit-seeking actors, these pro-opium forces represented situational allies with linked fates despite diverse opinions, fragmented interests, and ambivalent positions toward their own opium-entangled practices. Understanding their dispersed nature gives scholars reason to revisit the imperial origins of global drug control, while underscoring Southeast Asia’s importance for understanding global histories of drugs and international relations.
Cardiothoracic operating room blood gas workflow performance improvement initiative
Authors: Forest Stefanie K , Kuan Kevin , Edema Ukuemi , Forest Stephen J , Leff Jonathan D 
Published: March 2024

Abstract

Objectives
To evaluate the current workflow of blood gas ordering and testing in a cardiothoracic operating room to identify opportunities to streamline the process, using performance improvement methodologies.

Methods
Issues with specimen relabeling were identified that lead to delayed results and potential patient safety concerns. Blood gas specimen relabeling was evaluated for operating room cases from August 2018 to December 2022. An OpTime Epic Sidebar button for arterial blood gas and venous blood gas orders was created in January 2019 to streamline the ordering process so that laboratory barcode labels were then printed in the operating room and attached to the specimen, eliminating the need for relabeling by the technologists.

Results
This Epic Sidebar intervention led to a drastic improvement of appropriate labeling, which has been sustained. From March 2019 to January 2023, with our new workflow, over 95% of blood gas specimens arrived barcode labeled compared to less than 1% in the preintervention era.

Conclusions
A multidisciplinary team with key stakeholders is important to address complex care issues. Performance improvement methodology is critical to develop interventions that hardwire the process. This intervention led to a sustained reduction in secondary relabeling of patient samples and improved timeliness of reporting of blood gas results.
Prediction of bitterness based on modular designed graph neural network
Authors: He Yi , Liu Kaifeng , Liu Yuyang , Han Weiwei 
Published: March 2024

Abstract

Motivation
Bitterness plays a pivotal role in our ability to identify and evade harmful substances in food. As one of the five tastes, it constitutes a critical component of our sensory experiences. However, the reliance on human tasting for discerning flavors presents cost challenges, rendering in silico prediction of bitterness a more practical alternative.

Results
In this study, we introduce the use of Graph Neural Networks (GNNs) in bitterness prediction, superseding traditional machine learning techniques. We developed an advanced model, a Hybrid Graph Neural Network (HGNN), surpassing conventional GNNs according to tests on public datasets. Using HGNN and three other GNNs, we designed BitterGNNs, a bitterness predictor that achieved an AUC value of 0.87 in both external bitter/non-bitter and bitter/sweet evaluations, outperforming the acclaimed RDKFP-MLP predictor with AUC values of 0.86 and 0.85. We further created a bitterness prediction website and database, TastePD (https://www.tastepd.com/). The BitterGNNs predictor, built on GNNs, offers accurate bitterness predictions, enhancing the efficacy of bitterness prediction, aiding advanced food testing methodology development, and deepening our understanding of bitterness origins.

Availability and implementation
TastePD can be available at https://www.tastepd.com, all codes are at https://github.com/heyigacu/BitterGNN.
ArCH: improving the performance of clonal hematopoiesis variant calling and interpretation
Authors: Chan Irenaeus C C , Panchot Alex , Schmidt Evelyn , McNulty Samantha , Wiley Brian J , Liu Jie , Turner Kimberly , Moukarzel Lea , Wong Wendy S W , Tran Duc , Beeler J Scott , Batchi-Bouyou Armel Landry , Machiela Mitchell J , Karyadi Danielle M , Krajacich Benjamin J , Zhao Junhua , Kruglyak Semyon , Lajoie Bryan , Levy Shawn , Patel Minal , Kantoff Philip W , Mason Christopher E , Link Daniel C , Druley Todd E , Stopsack Konrad H , Bolton Kelly L 
Published: March 2024

Abstract

Motivation
The acquisition of somatic mutations in hematopoietic stem and progenitor stem cells with resultant clonal expansion, termed clonal hematopoiesis (CH), is associated with increased risk of hematologic malignancies and other adverse outcomes. CH is generally present at low allelic fractions, but clonal expansion and acquisition of additional mutations leads to hematologic cancers in a small proportion of individuals. With high depth and high sensitivity sequencing, CH can be detected in most adults and its clonal trajectory mapped over time. However, accurate CH variant calling is challenging due to the difficulty in distinguishing low frequency CH mutations from sequencing artifacts. The lack of well-validated bioinformatic pipelines for CH calling may contribute to lack of reproducibility in studies of CH.

Results
Here, we developed ArCH, an Artifact filtering Clonal Hematopoiesis variant calling pipeline for detecting single nucleotide variants and short insertions/deletions by combining the output of four variant calling tools and filtering based on variant characteristics and sequencing error rate estimation. ArCH is an end-to-end cloud-based pipeline optimized to accept a variety of inputs with customizable parameters adaptable to multiple sequencing technologies, research questions, and datasets. Using deep targeted sequencing data generated from six acute myeloid leukemia patient tumor: normal dilutions, 31 blood samples with orthogonal validation, and 26 blood samples with technical replicates, we show that ArCH improves the sensitivity and positive predictive value of CH variant detection at low allele frequencies compared to standard application of commonly used variant calling approaches.

Availability and implementation
The code for this workflow is available at: https://github.com/kbolton-lab/ArCH.