bluuebunny/crossref_metadata_2025_split huggingface dataset:
A step towards the final frontier: Lessons learned from acceptance testing of the first HPE/Cray EX 3000 system at ORNL
Authors: Melesse Vergara Verónica G. , Budiardja Reuben , Peltz Paul , Niles Jeffery , Zimmer Christopher , Dietz Daniel , Fuson Christopher , Liu Hong , Newman Paul , Simmons James , Muzyn Christopher 
Published: October 2023

SummaryIn this article, we summarize the deployment of the Air Force Weather (AFW) HPC11 system at Oak Ridge National Laboratory (ORNL) including the process followed to successfully complete acceptance testing of the system. HPC11 is the first HPE/Cray EX 3000 system that has been successfully released to its user community in a federal facility. HPC11 consists of two identical 800‐node supercomputers, Fawbush and Miller, with access to two independent and identical lustre parallel file systems. HPC11 is equipped with Slingshot 10 interconnect technology and relies on the HPE Performance Cluster Manager software for system configuration. ORNL has a clearly defined acceptance testing process used to ensure that every new system deployed can provide the necessary capabilities to support user workloads. We worked closely with HPE and AFW to develop a set of tests that used the United Kingdom's Meteorological Office's Unified Model and 4‐dimensional variational data assimilation. We also included benchmarks and applications from the Oak Ridge Leadership Computing Facility portfolio to fully exercise the HPE/Cray programming environment and evaluate the functionality and performance of the system. Acceptance testing of HPC11 required parallel execution of each element on Fawbush and Miller. In addition, careful coordination was needed to ensure successful acceptance of the newly deployed lustre file systems alongside the compute resources. In this work, we present test results from specific system components and provide an overview of the issues identified, challenges encountered, and the lessons learned along the way.
Examining the impact of social media advertising using ANOVA analysis
Authors: Meena Zenith N. , Radhika R. 
Published: October 2023

SummarySocial media has become a significant part of daily life and nowadays it has started to turn out to be common practice for consumers and companies to employ social media to form, establish, and connect relationships. In addition, social media is based on web and mobile‐based technologies for creating highly interactive paradigms by which communities and individuals co‐create, share, modify and discuss user‐generated content. However, it is never easy for businesses to create social media advertising that attracts people and encourages them to buy their products. This article intends to present a statistical analysis that focuses on social media marketing among people of different ages. Six categories—personal profile, usage, assessment, higher‐order data, trustworthiness, and elements of social media ads—are included in the analysis of social media marketing. The initial phase focuses on questionnaire preparation depending on social media advertising. Subsequently, the planned questionnaire is collected from diverse respondents at various educational levels utilizing a Google form. Then, these respondents' responses are collected for examination. To determine whether the outcomes of the experiment are meaningful, the evaluation in this piece of study is based on an ANOVA analysis.
Solvent‐Directed Construction of a Nanoporous Metal‐Organic Framework with Potential in Selective Adsorption and Separation of Gas Mixtures Studied by Grand Canonical Monte Carlo Simulations
Authors: Salimi Saeideh , Akhbari Kamran , Farnia S. Morteza F. , Tylianakis Emmanuel , Froudakis Georg E. , White Jonathan M. 
Published: October 2023

AbstractIn this report, a microporous metal–organic framework of [Ca(TDC)(DMA)]n (1) and a two‐dimensional coordination polymer of [Ca(TDC)(DMF)2]n (2), (TDC2−=Thiophene‐2,5‐dicarboxylate, DMA=N, N'‐dimethylacetamide and DMF=N, N'‐dimethylformamide) based on Ca(II) were designed by the effect of solvent, and X‐ray analysis was performed for the single crystals of 1 and 2. Then, compound 1 was synthesized in three different methods and identified with a set of analyses. Compared to other adsorbents, MOFs are widely used in the field of adsorption and separation of various gases due to a series of distinctive features such as diverse and adjustable structures pores with different dimensions, high porosity and surface area with regular distribution of active sites. Therefore, the ability of 1 to uptake single gases (CH4, CO2, C2H2, H2, and N2) and separation of several binary mixtures of gases (CO2/CH4, CO2/N2, CO2/H2 and CO2/C2H2), were investigated using Grand Canonical Monte Carlo simulations. Volumetric and gravimetric adsorption isotherms in various operating conditions, the isosteric heat of adsorption (qst), the chemical potential for each thermodynamic state, and snapshots during the simulation process were reported in all cases. The results obtained from the adsorption simulation indicate that compound 1 has a high capacity for uptake of H2 (16 mmol g−1) and N2 (12.5 mmol g−1), CO2 (6.6 mmol g−1), C2H2 (5 mmol g−1) and CH4 (1.5 mmol g−1) gases at 1 bar. It also performs well in separating CO2 in binary mixtures, which can be attributed to the presence of open metal sites in nodes of 1 and their electrostatic tendency to interact with CO2 containing the higher quadrupole dipole moment compared to other components of the mixture.
The progression of disclosures in the basic materials industry of South Africa
Authors: du Toit Elda , Delport Pieter Willem Jacobus 
Published: October 2023

AbstractConsidering debates surrounding the usefulness of integrated reporting for decision‐making, this exploratory study uses objective measures to investigate the quality of disclosures other than financial in the basic materials industry of South Africa. Annual and integrated reports for the basic materials and consumer discretionary industries are evaluated over 12 years, from 2008 to 2020 for a total of 1204 firm‐year observations to investigate whether (1) integrated reporting brought positive change and (2) whether reporting improved over time. Readability and narrative tone analyses are conducted, and non‐parametric Kruskal‐Wallis tests are used to investigate the development of these measures over time. The results show that corporate reports in the basic materials industry decreased in quality over time in that the reports have become longer, less readable, and use specific narrative tones, which can create biases. The findings reveal that the declining quality of reports in the basic materials industry could mislead or deter investors, challenge regulatory oversight, and ultimately, impact firms' social licence to operate. Thus, they offer actionable insights for firms to improve disclosure by reducing complexity and length and adopting a neutral narrative tone to mitigate biases, thereby making these reports more accessible and useful for a wider stakeholder audience. In addition, investors ought to demand better reporting, and regulators should tighten guidelines.
PACMan: A software package for automated single‐cell chlorophyll fluorometry
Authors: Pontén Olle , Xiao Linhong , Kutter Jeanne , Cui Yuan , Wählby Carolina , Behrendt Lars 
Published: October 2023

AbstractMicroalgae, small photosynthetic unicells, are of great interest to ecology, ecotoxicology and biotechnology and there is a growing need to investigate the ability of cells to photosynthesize under variable conditions. Current strategies involve hand‐operated pulse‐amplitude‐modulated (PAM) chlorophyll fluorimeters, which can provide detailed insights into the photophysiology of entire populations‐ or individual cells of microalgae but are typically limited in their throughput. To increase the throughput of a commercially available MICROSCOPY‐PAM system, we present the PAM Automation Control Manager (‘PACMan’), an open‐source Python software package that automates image acquisition, microscopy stage control and the triggering of external hardware components. PACMan comes with a user‐friendly graphical user interface and is released together with a stand‐alone tool (PAMalysis) for the automated calculation of per‐cell maximum quantum efficiencies (= Fv/Fm). Using these two software packages, we successfully tracked the photophysiology of >1000 individual cells of green algae (Chlamydomonas reinhardtii) and dinoflagellates (genus Symbiodiniaceae) within custom‐made microfluidic devices. Compared to the manual operation of MICROSCOPY‐PAM systems, this represents a 10‐fold increase in throughput. During experiments, PACMan coordinated the movement of the microscope stage and triggered the MICROSCOPY‐PAM system to repeatedly capture high‐quality image data across multiple positions. Finally, we analyzed single‐cell Fv/Fm with the manufacturer‐supplied software and PAMalysis, demonstrating a median difference <0.5% between both methods. We foresee that PACMan, and its auxiliary software package will help increase the experimental throughput in a range of microalgae studies currently relying on hand‐operated MICROSCOPY‐PAM technologies.
Robust Q‐learning‐based multi‐objective sheep flock optimizer with a Cauchy operator for effective path planning in unmanned aerial vehicles
Authors: Kumar Vikash , Saha Seemanti 
Published: October 2023

SummaryUnmanned aerial vehicle (UAV) path planning can be treated as a nondeterministic polynomial (NP) hard concern or an optimization problem. The conventional approaches are unable to effectively handle these issues due to discontinuity, non‐linearity, multi‐modality, and inseparability. On the other hand, meta‐heuristic algorithms are effective at tackling these issues because they are simple, adaptable, and derivation free. To enhance the performance in a variety of challenging circumstances, this paper proposes a novel Q‐learning‐based multi‐objective sheep flock optimizer with a Cauchy operator (Q‐MOSFO‐CA) to solve the constrained UAV path planning issues. The multi‐objective functions considered here are costs and constraints (threat, terrain, turning, climbing, and gliding constraints) to determine the feasible and optimal path. To avoid the probability of falling into the local optimum and to address the shortcoming of unbalanced convergence and also to maintain the exploitation and exploration capability, the Cauchy operator (CA) is integrated with the sheep flock optimization (SFO) algorithm. The Q‐learning model is introduced to balance both the global and local searches. Here, the exploration model performs the global search whereas the exploitation model performs the local search to attain an optimal solution. In the simulation scenario, the statistical analysis is conducted under two scenarios, and some essential measures such as the number of iterations at convergence (NIC), evaluation time (ET), energy consumption, and convergence analysis are determined. The proposed method obtains NIC of 1305 and 1436, ET of 12.8 and 15.2 s, and energy consumption of 20,600 and 21,465 J for both Scenarios 1 and 2, respectively.
Advanced membrane‐based electrode engineering toward efficient and durable water electrolysis and cost‐effective seawater electrolysis in membrane electrolyzers
Authors: Tang Jiayi , Su Chao , Shao Zongping 
Published: October 2023

AbstractResearchers have been seeking for the most technically‐economical water electrolysis technology for entering the next‐stage of industrial amplification for large‐scale green hydrogen production. Various membrane‐based electrolyzers have been developed to improve electric‐efficiency, reduce the use of precious metals, enhance stability, and possibly realize direct seawater electrolysis. While electrode engineering is the key to approaching these goals by bridging the gap between catalysts design and electrolyzers development, nevertheless, as an emerging field, has not yet been systematically analyzed. Herein, this review is organized to comprehensively discuss the recent progresses of electrode engineering that have been made toward advanced membrane‐based electrolyzers. For the commercialized or near‐commercialized membrane electrolyzer technologies, the electrode material design principles are interpreted and the interface engineering that have been put forward to improve catalytic sites utilization and reduce precious metal loading is summarized. Given the pressing issues of electrolyzer cost reduction and efficiency improvement, the electrode structure engineering toward applying precious metal free electrocatalysts is highlighted and sufficient accessible sites within the thick catalyst layers with rational electrode architectures and effective ions/mass transport interfaces are enabled. In addition, this review also discusses the innovative ways as proposed to break the barriers of current membrane electrolyzers, including the adjustments of electrode reaction environment, and the feasible cell‐voltage‐breakdown strategies for durable direct seawater electrolysis. Hopefully, this review may provide insightful information of membrane‐based electrode engineering and inspire the future development of advanced membrane electrolyzer technologies for cost‐effective green hydrogen production.
The influence of baseline sleep on exercise‐induced cognitive change in cognitively unimpaired older adults: A randomised clinical trial
Authors: Sewell Kelsey R. , Rainey‐Smith Stephanie R. , Peiffer Jeremiah , Sohrabi Hamid R. , Doecke James , Frost Natalie J. , Markovic Shaun J. , Erickson Kirk , Brown Belinda M. 
Published: October 2023

AbstractObjectivesObservational studies consistently demonstrate that physical activity is associated with elevated cognitive function, however, there remains significant heterogeneity in cognitive outcomes from randomized exercise interventions. Individual variation in sleep behaviours may be a source of variability in the effectiveness of exercise‐induced cognitive change, however this has not yet been investigated. The current study aimed to (1) investigate the influence of a 6‐month exercise intervention on sleep, assessed pre‐ and post‐intervention and, (2) investigate whether baseline sleep measures moderate exercise‐induced cognitive changes.MethodsWe utilised data from the Intense Physical Activity and Cognition (IPAC) study (n = 89), a 6‐month moderate intensity and high intensity exercise intervention, in cognitively unimpaired community‐dwelling older adults aged 60–80 (68.76 ± 5.32). Exercise was supervised and completed on a stationary exercise bicycle, and cognitive function was measured using a comprehensive neuropsychological battery administered pre‐ and post‐intervention. Sleep was measured using the Pittsburgh sleep quality index. There was no effect of the exercise intervention on any sleep outcomes from pre‐ to post‐intervention.ResultsThere was a significant moderating effect of baseline sleep efficiency on both episodic memory and global cognition within the moderate intensity exercise group, such that those with poorer sleep efficiency at baseline showed greater exercise‐induced improvements in episodic memory.ConclusionsThese results suggest that those with poorer sleep may have the greatest exercise‐induced cognitive benefits and that baseline sleep behaviours may be an important source of heterogeneity in previous exercise interventions targeting cognitive outcomes.
The effect of prescription drug insurance on the incidence of potentially inappropriate prescribing: Evidence from Medicare Part D
Authors: Lee Donghoon , Kim SangJune , Dugan Jerome A. 
Published: October 2023

AbstractThe Medicare Part D program has been documented to increase the affordability and accessibility of drugs and improve the quality of prescription drug use; however, less is known about the equity impact of the Part D program on potentially inappropriate prescribing—specifically, incidences of polypharmacy and potentially inappropriate medication (PIM) use based on different racial/ethnic groups. Using a difference in the regression discontinuity design, we found that among Whites, Part D was associated with increases in polypharmacy and “broadly defined” PIM use, while the use of “always avoid” PIM remained unchanged. Conversely, Blacks and Hispanics reported no changes in such drug utilization patterns.
Recent advances of liquid biopsy: Interdisciplinary strategies toward clinical decision‐making
Authors: Bao Han , Min Li , Bu Fanqin , Wang Shutao , Meng Jingxin 
Published: October 2023

AbstractLiquid biopsy has emerged as a promising avenue for non‐invasive and rapid retrieval of pathological information from patient body fluids. Over the years, liquid biopsy has garnered significant attention for clinically treating cancer by selecting appropriate biomarkers such as circulating tumor cells (CTCs) and extracellular vesicles (EVs). Further integration of advanced technologies has facilitated the efficient capture of biomarkers for liquid biopsy, revolutionizing clinical decision‐making in the multiple processes and stages of cancer patients. Underscoring the intersection of different disciplines, this review provides a holistic summary of recent breakthroughs specifically designed for the capture and application of distinctive biomarkers to blend real‐world clinical decision‐making with material science. Firstly, we focus on the main principles of liquid biopsy and recent technologies that facilitate the capture and release of biomarkers (e.g., CTCs and EVs), leveraging their physicochemical properties. Then, the clinical applications of biomarkers are summarized, highlighting their potential for providing comprehensive clinical information. Later, the incorporation of machine learning is also emphasized for enhancing clinical applications and enabling deeper insights in the design of next‐generation platforms for specific biomarker isolation. Finally, future opportunities for clinical decision‐making are explored by combining advanced nanotechnologies and artificial intelligence, thereby offering inconceivable possibilities for improving patient care.
Down but not out: Using restorying to imagine beyond the constraints of mandated texts for critical thinking, empathy, and identity work
Authors: Torres Francisco L. , Pytash Kristine E. 
Published: October 2023

AbstractIn this paper, we highlight how restorying with preservice secondary English language arts teachers can encourage them to explore what is possible with mandated texts, like those found in the canon, for diverse world building centered in empathy, self‐exploration, and justice. Findings highlight the critical reflective process preservice teachers engaged in as they restoryed canonical texts. These findings highlight and how preservice teachers can use restorying as a way to engage the self and others for more inclusive storytelling. Finally, the authors argue that in oppressive spaces that seek to silence marginalized voices, restorying can act as a subversive tool to engage in work that bends toward justice.
Population Pharmacokinetics of Atorvastatin in High‐Altitude and Plain Patients with Hyperlipidemic
Authors: Li Yu , Huang Qin , Zeng Xianghai , Wang Rong , Li Wenbin 
Published: October 2023

AbstractThe pharmacokinetic (PK) characteristics of drugs were altered under high‐altitude hypoxia. We aim to describe the population PK of atorvastatin (ATV) to identify patient characteristics that are predictive of variability in the PK parameters of the ATV and investigate the effects of high‐altitude hypoxia on the blood concentration of ATV in patients with hyperlipidemia. A total of 160 plasma concentrations were collected from 40 patients with hyperlipidemia in plateau areas and 40 in plain areas. The population pharmacokinetic model of patients with hyperlipidemia in plateau and plain areas of China was established by a nonlinear mixed‐effects model. The PK of ATV were described by a 1‐compartment model with first‐order elimination. The main PK parameters of ATV were the first‐order absorption rate (0.76 hour−1 fixed); clearance (174.22 L/h) and apparent volume of distribution (1119.62 L). The values of area and age were identified as significant covariates for the clearance, area, age, and urea for the volume of distribution. The steady‐state peak concentration in the plateau area was higher than that in the plain area. This study may suggest dose reduction is necessary for patients with hyperlipidemia in high altitudes.
Promoting the integration of genetic counseling education and research across the spectrum of learners at a large academic institution
Authors: MacFarlane Ian M. , Zierhut Heather 
Published: October 2023

AbstractGenetic counselors are valuable members of research teams and are increasingly taking leadership roles in major research trials. While the field of genetic counseling has explored a doctoral degree several times, the terminal degree is still a master's level. Genetic counseling training programs provide research training, but many genetic counselors desire additional opportunities to develop expertise. To address the gaps in the availability of research training before and after obtaining genetic counseling degrees, we applied for and received a grant centered around three aims: (1) develop an undergraduate minor in genomics and human health with a research component, (2) promote a rigorous genetic counseling research program for training to practice genetic counselors, and (3) initiate a combined PhD program in Molecular, Cellular, Developmental Biology, and Genetics (MCDB&G) with a track in genetic counseling. We describe each of these components and early progress toward these aims. As each individual aim is bearing fruit, the next challenges are implementing more crossover between people in each aim and distilling the lessons learned to see if this program could be replicated at other sites.
Arginase deficiency masked by cerebral palsy and coagulopathy—Three varied presentations of Latin American origin
Authors: Mills Shelby L. , Roberts Paige , Ashfaq Myla , Leal Kathryn , Northrup Hope , Brown Deborah L. , Rodriguez‐Buritica David , Farach Laura S. 
Published: October 2023

AbstractArginase deficiency (ARG1‐D) is an autosomal recessive inborn error of metabolism that is often misdiagnosed. Classic presentation of ARG1‐D includes progressive symptoms of spasticity, delayed development, cognitive impairment, protein avoidance, and seizures. Patients who present atypically may evade diagnosis and require a thoughtful diagnostic workup. Here, we discuss three females of Latin American origin with differing clinical presentations, but who all have the same intronic pathogenic variant in ARG1. Importantly, we found that each case included elevated coagulopathy on laboratory testing and discussed one case in particular with manifestation of bleeding. When diagnosed early, treatment is favorable and can prevent progressive decline. While many states have added ARG1‐D to their expanded newborn screening panels, still many states and countries do not screen for ARG1‐D, and it can be missed in a healthy newborn. We aim to bring awareness to not only the classic presentation as a necessary consideration for otherwise unexplained spastic diplegia but also to the varied presentations of ARG1‐D.