bluuebunny/crossref_metadata_2025_split huggingface dataset:
Students’ Acceptance of ChatGPT in Higher Education: An Extended Unified Theory of Acceptance and Use of Technology
Authors: Strzelecki Artur 
Published: November 2023

AbstractAI-powered chat technology is an emerging topic worldwide, particularly in areas such as education, research, writing, publishing, and authorship. This study aims to explore the factors driving students' acceptance of ChatGPT in higher education. The study employs the unified theory of acceptance and use of technology (UTAUT2) theoretical model, with an extension of Personal innovativeness, to verify the Behavioral intention and Use behavior of ChatGPT by students. The study uses data from a sample of 503 Polish state university students. The PLS-SEM method is utilized to test the model. Results indicate that Habit has the most significant impact (0.339) on Behavioral intention, followed by Performance expectancy (0.260), and Hedonic motivation (0.187). Behavioral intention has the most significant effect (0.424) on Use behavior, followed by Habit (0.255) and Facilitating conditions (0.188). The model explains 72.8% of the Behavioral intention and 54.7% of the Use behavior variance. While the study is limited by the sample size and selection, it is expected to be a starting point for more research on ChatGPT-like technology in university education, given that this is a recently introduced technology.
The Shaman and Schizophrenia, Revisited
Authors: Luhrmann Tanya Marie , Dulin John , Dzokoto Vivian 
Published: November 2023

AbstractThis paper presents evidence that some—but not all—religious experts in a particular faith may have a schizophrenia-like psychotic process which is managed or mitigated by their religious practice, in that they are able to function effectively and are not identified by their community as ill. We conducted careful phenomenological interviews, in conjunction with a novel probe, with okomfo, priests of the traditional religion in Ghana who speak with their gods. They shared common understandings of how priests hear gods speak. Despite this, participants described quite varied personal experiences of the god’s voice. Some reported voices which were auditory and more negative; some seemed to describe trance-like states, sometimes associated with trauma and violence; some seemed to be described sleep-related events; and some seemed to be interpreting ordinary inner speech. These differences in description were supported by the way participants responded to an auditory clip made to simulate the voice-hearing experiences of psychosis and which had been translated into the local language. We suggest that for some individuals, the apprenticeship trained practice of talking with the gods, in conjunction with a non-stigmatizing identity, may shape the content and emotional tone of voices associated with a psychotic process.
Treatment of very elderly glioblastoma patients ≥ 75 years of age: whom to treat
Authors: Baumgarten Peter , Prange Georg , Kamp Marcel A. , Monden Daniel , Neef Vanessa , Schwarzer Franziska , Dubinski Daniel , Dinc Nazife , Weber Katharina J. , Czabanka Markus , Hattingen Elke , Ronellenfitsch Michael W. , Steinbach Joachim P. , Senft Christian 
Published: November 2023

Abstract
Purpose
The prognosis of patients ≥ 75 years suffering from glioblastoma is poor. Novel therapies are usually reserved for patients ≤ 70 years. In an aging population, treatment of very elderly patients remains a challenge.

Methods
Between 2010 and 2018, a total of 977 glioblastoma patients were treated at our institution. Of these, 143 patients were ≥ 75 years at diagnosis. Primary procedure was surgical resection or biopsy followed by adjuvant treatment, whenever possible. We retrospectively investigated overall survival (OS) and potential prognostic factors influencing survival, including Karnofsky Performance Status (KPS), surgical therapy, adjuvant therapy as well as MGMT promotor status.

Results
In very elderly patients, median age was 79 years (range: 75–110). Biopsy only was performed in 104 patients; resection was performed in 39 patients. Median OS for the entire cohort was 5.9 months. Univariate analysis showed that KPS at presentation (≥ 70 vs. ≤60), surgery vs. biopsy, adjuvant chemotherapy and adjuvant radiotherapy were significantly associated with OS (6 vs. 3, p < 0.0111; 12 vs. 4, p = 0.0011; 11 vs. 4, p = 0.0003 and 10 vs. 1.5 months, p < 0.0001, respectively). Multivariate analysis confirmed adjuvant radiotherapy (p < 0.0001) and chemotherapy (p = 0.0002) as independent factors influencing OS.

Conclusion
For very elderly patients, the natural course of disease without treatment is devastating. These patients benefit from multimodal treatment including adjuvant radiotherapy and chemotherapy. A beneficial effect of resection has not been demonstrated. Treatment options and outcomes should be thoughtfully discussed before treatment decisions are made.
Delivery of Neuropsychological Interventions for Adult and Older Adult Clinical Populations: An Australian Expert Working Group Clinical Guidance Paper
Authors: Wong Dana , Pike Kerryn , Stolwyk Rene , Allott Kelly , Ponsford Jennie , McKay Adam , Longley Wendy , Bosboom Pascalle , Hodge Antoinette , Kinsella Glynda , Mowszowski Loren 
Published: November 2023

AbstractDelivery of neuropsychological interventions addressing the cognitive, psychological, and behavioural consequences of brain conditions is increasingly recognised as an important, if not essential, skill set for clinical neuropsychologists. It has the potential to add substantial value and impact to our role across clinical settings. However, there are numerous approaches to neuropsychological intervention, requiring different sets of skills, and with varying levels of supporting evidence across different diagnostic groups. This clinical guidance paper provides an overview of considerations and recommendations to help guide selection, delivery, and implementation of neuropsychological interventions for adults and older adults. We aimed to provide a useful source of information and guidance for clinicians, health service managers, policy-makers, educators, and researchers regarding the value and impact of such interventions. Considerations and recommendations were developed by an expert working group of neuropsychologists in Australia, based on relevant evidence and consensus opinion in consultation with members of a national clinical neuropsychology body. While the considerations and recommendations sit within the Australian context, many have international relevance. We include (i) principles important for neuropsychological intervention delivery (e.g. being based on biopsychosocial case formulation and person-centred goals); (ii) a description of clinical competencies important for effective intervention delivery; (iii) a summary of relevant evidence in three key cohorts: acquired brain injury, psychiatric disorders, and older adults, focusing on interventions with sound evidence for improving activity and participation outcomes; (iv) an overview of considerations for sustainable implementation of neuropsychological interventions as ‘core business’; and finally, (v) a call to action.
How Does Downstream Firms’ Efficiency Affect Exclusive Supply Agreements?
Authors: Kitamura Hiroshi , Matsushima Noriaki , Sato Misato 
Published: November 2023

AbstractWe develop a bilateral monopoly model with a downstream entrant to examine anticompetitive exclusive supply contracts that prevent the upstream supplier from selling inputs to the downstream entrant. When the entrant is more efficient and needs a lesser amount of the input that is produced by the supplier than does the incumbent, the input demand may not increase significantly following the entry. Therefore, the socially efficient entry does not increase the supplier’s profits significantly, which allows the downstream incumbent to deter socially efficient entry through an exclusive supply contract. This result holds even in the simplest framework, which is composed of a single seller, buyer, and entrant.
Metals at the nexus: renewable vs. nuclear energy systems, metal import requirements, and energy security in the European Union
Authors: Qu Chunzi , Bang Rasmus Noss 
Published: November 2023

AbstractThis study examines the compatibility of the EU’s current 2050 clean energy transition plan, aiming to increase the share of renewable power generation to 80%, with mineral and energy security in the EU, acknowledging the interplay between these security aspects when dealing with metal-intensive energy systems. It also explores the potential advantages of an alternative electricity mix that combines the existing renewable generation share with expanded nuclear energy capacity. The results demonstrate that the planned renewable-intensive electricity mix requires substantially higher quantities of metals to increase and sustain electricity production capacity than the alternative nuclear-intensive system. This is not only the case in terms of volume requirements, which is already evident from the existing literature, but also in terms of value and import requirements. Further, our results reveal that the bottleneck risks in the planned renewable-intensive system are primarily associated with insufficient mining of essential metals inside the EU. In contrast, the bottleneck risks in the nuclear-intensive system are primarily associated with lack of processing inside the EU. Based on the assumption that acquiring relevant mineral reserves and mining capabilities may be more challenging than acquiring new processing capacities, this suggests that the planned renewable-intensive system may come with more serious bottleneck risks than an alternative nuclear-intensive system. Overall, this study leads to the conclusion that a nuclear-intensive electricity mix could offer greater metal-related energy security than the planned renewable-intensive system.
Mechanistic insights to sorptive removal of four sulfonamide antibiotics from water using magnetite-functionalized biochar
Authors: Bai Shanshan , Zhou Yaolu , Qian Mingrong , Xia Jun , Sun Zhiqiang , Wang Yujiao , Huang Xiaochen , Zhu Shishu 
Published: November 2023

AbstractMagnetite-functionalized biochar (MBC) is a promising engineered material for remediation of antibiotic-contaminated fields. However, sorption mechanisms of ionizable organic compounds such as sulfonamide antibiotics (SAs) on MBC are still unclear. This study employed four representative SAs including sulfamethazine (SMT), sulfamerazine (SMR), sulfadiazine (SDZ), and sulfamethoxazole (SMX), to compare the difference in sorption on MBC. Results showed that the sorption capacities and affinities of the four SAs varied with their substituents, hydrophobic properties, and dissociation constants (pKa). Synergistic effect during co-pyrolysis with Fe3+ enhanced the sorption performance of MBC towards SAs compared to original BC. Spectral methods confirmed structural changes of MBC such as the variance in oxygen-containing groups and defective/graphitized phases. Results of modeling pH-dependent sorption revealed that H-bonding or π-bond assisted H-bonding determined the sorption affinities and capacities of SAs. In particular, the SAs with lower pKa were thermodynamically favorable to form H-bonding with MBC via proton exchange with water molecules. Quantum calculation results quantified the contributions of H-bonding strengths and found that the energies of H-bonding were correlated with affinities of SAs. Moreover, contributions of oxygen-containing groups instead of minerals dominated the H-bonding energies. Mechanistic insights from this study can be valuable in exploring engineered BC composites for practical application in field remediation.
Graphical Abstract
Biomechanical evaluation of multi-rod constructs to stabilize an S1 pedicle subtraction osteotomy (PSO): a finite element analysis
Authors: Shekouhi Niloufar , Tripathi Sudharshan , Goel Vijay K. , Theologis Alekos A. 
Published: November 2023

Abstract
Purpose
To develop and validate a finite element (FE) model of a sacral pedicle subtraction osteotomy (S1-PSO) and to compare biomechanical properties of various multi-rod configurations to stabilize S1-PSOs.

Methods
A previously validated FE spinopelvic model was used to develop a 30° PSO at the sacrum. Five multi-rod techniques spanning the S1-PSO were made using 4 iliac screws and a variety of primary rods (PR) and accessory rods (AR; lateral: Lat-AR or medial: Med-AR). All constructs, except one, utilized a horizontal rod (HR) connecting the iliac bolts to which PRs and Med-ARs were connected. Lat-ARs were connected to proximal iliac bolts. The simulation was performed in two steps with the acetabula fixed. For each model, PSO ROM and maximum stress on the PRs, ARs, and HRs were recorded and compared. The maximum stress on the L5–S1 disc and the PSO forces were captured and compared.

Results
Highest PSO ROMs were observed for 4-Rods (HR + 2 Med-AR). Constructs consisting of 5-Rods (HR + 2 Lat-ARs + 1 Med-AR) and 6-Rods (HR + 2 Lat-AR + 2 Med-AR) had the lowest PSO ROM. The least stress on the primary rods was seen with 6-Rods, followed by 5-Rods and 4-Rods (HR + 2 Lat-ARs). Lowest PSO forces and lowest L5–S1 disc stresses were observed for 4-Rod (Lat-AR), 5-Rod, and 6-Rod constructs, while 4-Rods (HR + Med-AR) had the highest.

Conclusion
In this first FE analysis of an S1-PSO, the 4-Rod construct (HR + Med-AR) created the least rigid environment and highest PSO forces anteriorly. While 5- and 6-Rods created the stiffest constructs and lowest stresses on the primary rods, it also jeopardized load transfer to the anterior column, which may not be favorable for healing anteriorly. A balance between the construct’s rigidity and anterior load sharing is essential.
Syndromic Surveillance Implementation During Disaster Events
Authors: Alkhattabi Eyad F. , Hart Alexander , Issa Fadi , Hertelendy Attila , Alrusyani Yasir , Voskanyan Amalia , Ciottone Gregory 
Published: November 2023

Abstract

Introduction:
Disease surveillance is an integral part of public health. These systems monitor disease trends and detect outbreaks, whereas they should be evaluated for efficacy. The United States Centres for Disease Control and Prevention publish Guidelines for Evaluating Surveillance Systems to encourage efficient and effective use of public health surveillance that are accepted worldwide.

Objective:
This study reviews syndromic surveillance during natural and man-made disasters internationally. It aims to (1) review the performance of syndromic surveillance via pre-specified attributes during disaster and to (2) understand its strengths and limitations.

Methods:
PubMed was systematically searched for the articles assessing syndromic surveillance during a disaster. A narrative review was carried out based on those articles. Updated Guidelines for Evaluating Public Health Surveillance Systems were used to review performance of systems.

Results:
5,059 studies from PubMed were evaluated, and 16 met inclusion criteria. The majority of these studies considered the implementation of syndromic surveillance useable during disaster events. Studies described systems giving relevant and timely information. Simplicity and timeliness were the most highlighted attributes.

Conclusion:
Syndromic surveillance is simple, flexible, useful and usable during a disaster. Timely data can be obtained, but the quality of this type of data is sensitive to incomplete and erroneous reporting; because of this, a standardized approach is necessary to optimize these systems.
White Coats with Blue Collars: Doctors’ Labor Protests and the Struggle for Democracy in Brazil, 1978–1982 – CORRIGENDUM
Authors: Weinberg Eyal 
Published: November 2023

AbstractThis article explores the labor struggles of doctors in late 1970s and early 1980s Brazil, the final years of the nation's dictatorship. Health workers’ protests for better salaries and working conditions were extensive and reflected a dramatic change in the way medical practitioners in Brazil perceived their professional and political identities. Fusing together histories of medicine and labor, the article shows how physicians not only led strikes and unionized by their tens of thousands but also collaborated with blue-collar sectors in a larger struggle for working rights, access to healthcare, and structural reforms. Dictatorship officials, the article reveals, were significantly concerned by hospital strikes and particularly by the emerging cross-sector alliance. In this sense, the doctors’ movement played a significant role in challenging Brazil's military rule and advancing the nation's transition to democracy.
On minimum spanning trees for random Euclidean bipartite graphs
Authors: Correddu Mario , Trevisan Dario 
Published: November 2023

AbstractWe consider the minimum spanning tree problem on a weighted complete bipartite graph
$K_{n_R, n_B}$
whose
$n=n_R+n_B$
vertices are random, i.i.d. uniformly distributed points in the unit cube in
$d$
dimensions and edge weights are the
$p$
-th power of their Euclidean distance, with
$p\gt 0$
. In the large
$n$
limit with
$n_R/n \to \alpha _R$
and
$0\lt \alpha _R\lt 1$
, we show that the maximum vertex degree of the tree grows logarithmically, in contrast with the classical, non-bipartite, case, where a uniform bound holds depending on
$d$
only. Despite this difference, for
$p\lt d$
, we are able to prove that the total edge costs normalized by the rate
$n^{1-p/d}$
converge to a limiting constant that can be represented as a series of integrals, thus extending a classical result of Avram and Bertsimas to the bipartite case and confirming a conjecture of Riva, Caracciolo and Malatesta.
Optimizing Seasonal‐To‐Decadal Analog Forecasts With a Learned Spatially‐Weighted Mask
Authors: Rader Jamin K. , Barnes Elizabeth A. 
Published: November 2023

AbstractSeasonal‐to‐decadal climate prediction is crucial for decision‐making in a number of industries, but forecasts on these timescales have limited skill. Here, we develop a data‐driven method for selecting optimal analogs for seasonal‐to‐decadal analog forecasting. Using an interpretable neural network, we learn a spatially‐weighted mask that quantifies how important each grid point is for determining whether two climate states will evolve similarly. We show that analogs selected using this weighted mask provide more skillful forecasts than analogs that are selected using traditional spatially‐uniform methods. This method is tested on two prediction problems using the Max Planck Institute for Meteorology Grand Ensemble: multi‐year prediction of North Atlantic sea surface temperatures, and seasonal prediction of El Niño Southern Oscillation. This work demonstrates a methodical approach to selecting analogs that may be useful for improving seasonal‐to‐decadal forecasts and understanding their sources of skill.
Measuring Carbon Dioxide Emissions From Liquefied Natural Gas (LNG) Terminals With Imaging Spectroscopy
Authors: Zhang Zhan , Cusworth Daniel H. , Ayasse Alana K. , Sherwin Evan D. , Brandt Adam R. 
Published: November 2023

AbstractThe rapid growth of liquefied natural gas (LNG) exports underscores the importance of CO2 monitoring for LNG export terminals. We present a method for measuring LNG terminal CO2 emissions using remote sensing imaging spectroscopy. The method is first validated using 47 power plant emission events with in situ measured data, then applied to 22 emission events in Sabine Pass and Cameron. The power plant data set shows a robust correlation between our estimates and in situ data, with R2 0.9146 and the average error −2%. At Sabine Pass, eight point sources are identified with emission rates from 219.69 ± 54.95 to 1,083.22 ± 308.06 t/hr. At Cameron, three point sources are identified with emission rates from 91.64 ± 25.81 to 265.61 ± 67.80 t/hr. The liquefaction carbon intensity estimates also align with past study ranges. This illustrates that remote sensing can validate environmental reporting and CO2 inventories for industrial facilities.
Assessing Memory in Convection Schemes Using Idealized Tests
Authors: Hwong Y.‐L. , Colin M. , Aglas‐Leitner P. , Muller C. J. , Sherwood S. C. 
Published: November 2023

AbstractTwo assumptions commonly applied in convection schemes—the diagnostic and quasi‐equilibrium assumptions—imply that convective activity (e.g., convective precipitation) is controlled only by the large‐scale (macrostate) environment at the time. In contrast, numerical experiments indicate a “memory” or dependence of convection also on its own previous activity whereby subgrid‐scale (microstate) structures boost but are also boosted by convection. In this study we investigated this memory by comparing single‐column model behavior in two idealized tests previously executed by a cloud‐resolving model (CRM). Conventional convection schemes that employ the diagnostic assumption fail to reproduce the CRM behavior. The memory‐capable org and Laboratoire de Météorologie Dynamique Zoom cold pool schemes partially capture the behavior, but fail to fully exhibit the strong reinforcing feedbacks implied by the CRM. Analysis of this failure suggests that it is because the CRM supports a linear (or superlinear) dependence of the subgrid structure growth rate on the precipitation rate, while the org scheme assumes a sublinear dependence. Among varying versions of the org scheme, the growth rate of the org variable representing subgrid structure is strongly associated with memory strength. These results demonstrate the importance of parameterizing convective memory, and the ability of idealized tests to reveal shortcomings of convection schemes and constrain model structural assumptions.
Personal transcriptome variation is poorly explained by current genomic deep learning models
Authors: Huang Connie , Shuai Richard W. , Baokar Parth , Chung Ryan , Rastogi Ruchir , Kathail Pooja , Ioannidis Nilah M. 
Published: November 2023

AbstractGenomic deep learning models can predict genome-wide epigenetic features and gene expression levels directly from DNA sequence. While current models perform well at predicting gene expression levels across genes in different cell types from the reference genome, their ability to explain expression variation between individuals due to cis-regulatory genetic variants remains largely unexplored. Here, we evaluate four state-of-the-art models on paired personal genome and transcriptome data and find limited performance when explaining variation in expression across individuals. In addition, models often fail to predict the correct direction of effect of cis-regulatory genetic variation on expression.
Decoding motor plans using a closed-loop ultrasonic brain–machine interface
Authors: Griggs Whitney S. , Norman Sumner L. , Deffieux Thomas , Segura Florian , Osmanski Bruno-Félix , Chau Geeling , Christopoulos Vasileios , Liu Charles , Tanter Mickael , Shapiro Mikhail G. , Andersen Richard A. 
Published: November 2023

AbstractBrain–machine interfaces (BMIs) enable people living with chronic paralysis to control computers, robots and more with nothing but thought. Existing BMIs have trade-offs across invasiveness, performance, spatial coverage and spatiotemporal resolution. Functional ultrasound (fUS) neuroimaging is an emerging technology that balances these attributes and may complement existing BMI recording technologies. In this study, we use fUS to demonstrate a successful implementation of a closed-loop ultrasonic BMI. We streamed fUS data from the posterior parietal cortex of two rhesus macaque monkeys while they performed eye and hand movements. After training, the monkeys controlled up to eight movement directions using the BMI. We also developed a method for pretraining the BMI using data from previous sessions. This enabled immediate control on subsequent days, even those that occurred months apart, without requiring extensive recalibration. These findings establish the feasibility of ultrasonic BMIs, paving the way for a new class of less-invasive (epidural) interfaces that generalize across extended time periods and promise to restore function to people with neurological impairments.