bluuebunny/crossref_metadata_2025_split huggingface dataset:
Teachers’ judgment accuracy of students’ monitoring skills: a conceptual and methodological framework and explorative study
Authors: van de Pol Janneke , Oudman Sophie 
Published: August 2023

Abstract
Teachers’ ability to accurately judge students’ monitoring skills is important as it enables teachers to help students becoming better self-regulated learners. Yet, there is hardly any research on this crucial teacher skill and a framework is missing. We present a novel conceptual and methodological framework integrating teachers’ judgments of students’ monitoring skills with teachers’ judgments of students’ performance and students’ judgments of their own performance. Using this framework, we explored teachers’ ability to judge students’ monitoring skills and students’ performance. Secondary education teachers judged their own students’ performance and monitoring on a reading comprehension test (Nteachers = 46; Nstudents = 406). Teachers’ judgments of students’ judgment accuracy deviated 14.33% from the actual accuracy of students’ own monitoring judgments, with a tendency to underestimate their students’ monitoring accuracy. Teachers’ judgments of students’ performance deviated 21.96% from students’ actual performance, with a tendency to overestimate students’ performance. So-called performance cues—pieces of information pertaining to students’ prior knowledge and skills relevant to the performance task—appeared predictive or diagnostic both for students’ performance and for students’ monitoring judgments. When making accurate judgments, teachers used diagnostic cues to a greater extent than when making inaccurate judgments. Yet, when making accurate judgments, teachers also used two non-diagnostic cues (students’ IQ and self-concept regarding reading comprehension). To further improve teachers’ ability to accurately judge students’ monitoring, it may be worthwhile to help teachers ignore non-diagnostic cues.
Two years of COVID-19 outbreaks in residential care facilities: quantifying workload impact of outbreak control activities on a regional public health team in Ireland, March 2020 to March 2022
Authors: Carey Cian , O’Sullivan Margaret , O’Mahony Mary , Sheahan Anne , Barrett Peter 
Published: August 2023

Abstract
Background
Ireland, like many countries, pursued a containment strategy during the initial stages of the COVID-19 pandemic. Multidisciplinary Outbreak Control Team (OCT) meetings were among the urgent measures used by public health teams in managing COVID-19 outbreaks, especially in high-risk settings.

Aim
To describe and quantify the resources and person-time involved in managing outbreaks, and conducting OCT meetings, in older person Residential Care Facilities (RCF) in an Irish regional Department of Public Health (DePH) during the first 2 years of the COVID-19 pandemic.

Methods
All COVID-19 RCF outbreaks managed by the DePH HSE-South between March 2020 and March 2022 were identified. Data pertaining to each outbreak, including details of any OCT meetings (frequency, membership, duration) were extracted. Clinical staff members of the DePH were surveyed regarding their time spent on RCF outbreak management.

Results
Two hundred twenty-four outbreaks in older persons RCFs occurred between March 2020 and March 2022 in Cork and Kerry, accounting for 4211 COVID-19 resident/staff cases and 263 resident COVID deaths. One hundred twenty (53.5%) of the outbreaks required at least one OCT meeting, with 374 OCT meetings held in total (range 1–29 meetings per outbreak). Approximately 1819 hours were spent by clinical public health staff on RCF outbreak-related work.

Conclusions
While substantial DePH resources were required to manage COVID-19 outbreaks in older person RCFs, it is highly likely that these efforts prevented new infections within RCFs and thus reduced hospitalisations, ICU admissions and deaths. This sustained input placed a significant burden on the wider multidisciplinary public health team, and it affected the department’s capacity to deal with competing health threats and priorities. Future pandemic preparedness requires commensurate resource planning for public health teams.
Impaired Removal of the Damaged Mitochondria in the Metabolic Memory Phenomenon Associated with Continued Progression of Diabetic Retinopathy
Authors: Kowluru Renu A. , Mohammad Ghulam , Kumar Jay 
Published: August 2023

AbstractRetinopathy fails to halt even after diabetic patients in poor glycemic control try to institute tight glycemic control, suggesting a “metabolic memory” phenomenon, and the experimental models have demonstrated that mitochondria continue to be damaged/dysfunctional, fueling into the vicious cycle of free radicals. Our aim was to investigate the role of removal of the damaged mitochondria in the metabolic memory. Using human retinal endothelial cells (HRECs), incubated in 20 mM D-glucose for 4 days, followed by 5 mM D-glucose for 4 additional days, mitochondrial turnover, formation of mitophagosome, and mitophagy flux were evaluated. Mitophagy was confirmed in a rat model of metabolic memory where the rats were kept in poor glycemic control (blood glucose ~ 400 mg/dl) for 3 months soon after induction of streptozotocin-induced diabetes, followed by 3 additional months of good control (BG < 150 mg/dl). Reversal of high glucose by normal glucose had no effect on mitochondrial turnover and mitophagosome formation, and mitophagy flux remained compromised. Similarly, 3 months of good glycemic control in rats, which had followed 3 months of poor glycemic control, had no effect on mitophagy flux. Thus, poor turnover/removal of the damaged mitochondria, initiated during poor glycemic control, does not benefit from the termination of hyperglycemic insult, and the damaged mitochondria continue to produce free radicals, suggesting the importance of mitophagy in the metabolic memory phenomenon associated with the continued progression of diabetic retinopathy.
Exploring the capability of high-resolution satellite data in delineating the potential distribution of common invasive alien plant species in the Tshivhase Tea Estate
Authors: Nembambula Fhulufhedzani , Malahlela Oupa E. , Mugwedi Lutendo 
Published: August 2023

AbstractInvasive alien plants (IAPs) continue to exert significant impacts on agriculture in many countries, resulting in food insecurity. IAPs reduce agricultural production through competition and parasitism with planted crops. More recently, the IAPs continue to extend their plasticity to tea plantations, especially in tropical and subtropical areas. This study thus aimed at exploring the potential of SPOT 7 and Sentinel 2 satellite data in mapping the occurrence and co-occurrence of three common IAPs Solanum mauritianum, Lantana camara, and Chromolaena odorata in the Tshivhase Tea Estate in Limpopo Province, South Africa. The stepwise logistic regression models were generated for Solanum mauritianum and Lantana camara occurrence as well as the observed and conditional co-occurrence probability of S. mauritianum (P1), L. camara (P2) and C. odorata (P3). From the remote sensing indices, the Brightness Index (BI) was significant in most SPOT 7 stepwise logistic regression models at p<0.05 whereas the blue, red, and near infrared (NIR) bands and standard deviation (STDv) variables were significant at p<0.05 in most of the Sentinel 2 models. The SPOT 7 model performed Sentinel-2 models, thus resulting in the area under the curve (AUC) of 0.96 for the conditional co-occurrence of S. mauritianum (P1) and L. camara (P2). The Sentinel 2 model yielded an AUC of 0.83. The SPOT 7 model performed superior in mapping the conditional co-occurrence of S. mauritianum and L. camara than the Sentinel 2 model. These results suggest that high spatial resolution satellite images like SPOT 7 can delineate the potential distribution of IAPs in the tea plantation and thus assisting in management strategies geared towards IAP’s elimination and control.
An approach to evaluating the impact of contaminants on flux deposition in gas turbines
Authors: Mori Stefano , Mendil Mathilde , Wells Jonathan , Chapman Neil , Simms Nigel , Wells Roger , Sumner Joy 
Published: August 2023

AbstractGas turbines are a key part of many countries’ power generation portfolios, but components such as blades can suffer from hot corrosion attack, which can decrease component lifetimes. Corrosion is driven by impurity levels in the fuel and air (e.g., species containing sulphur and/or alkali metals) and depends on environmental conditions (e.g., air pollution, seawater droplets), that can lead to formation of harmful species in the gas. Understanding and determining the deposition flux of such contaminants is crucial for understanding the problem. Thermodynamic simulations were used to determine types and amounts of potentially corrosive contaminants, this was followed by deposition fluxes calculations. An operating scenario, based upon an offshore platform was evaluated. The effectiveness of different filtration systems has been evaluated. The impurity levels of alkali metals, such as sodium, greatly impacts the calculated deposition flux of species linked to corrosion attack. The presence of Na2SO4, and K2SO4 was found, at temperature representative of stage 2 nozzle guide vanes. Lowering sulphur input (from fuel or air) can be an efficient way to decrease deposition, attention must also be paid to lowering the amount of alkali metal entering the gas turbine, which can be lowered by the filtration systems’ correct use.
Using TODIM decision method to control saltwater intrusion by numerical simulation approach (study area: Nowshahr-Nur aquifer)
Authors: Alizadeh Farshid , Saeedpanah Iraj , Kardan Moghaddam Hamid 
Published: August 2023

AbstractOver-pumping of aquifers and lack of planning for the water resources, and allocation system in coastal aquifers, in addition to minor problems, disturb the ecological balance. This type of exploitation reduces the groundwater level and the hydraulic gradient in the coastal strip and, due to the higher density of saline water, includes the invasion of saline water and salinization of groundwater resources. Due to population growth, migration, drought, and over-pumping in the southern part of the Caspian Sea, this issue has disturbed the balance of groundwater resources, and most of the coastline has been associated with increasing solute concentrations. Accordingly, in this study, using the SEAWAT code, the intrusion of saltwater in the Nowshahr-Nur aquifer has been simulated, and the results analyzed, which showed that in the current situation, saline water intrusion spreads a wide width of 862 m from the aquifer. To control the current situation of saline water invasion in the coastal strip, seven treatment strategies were simulated and the TODIM decision-making method was used to prioritize. For this purpose, four criteria of economic, social, environmental, and groundwater level improvement were selected for decision-making and weighed by hierarchical analysis. The weighting results showed that the criterion for improving the groundwater level with a weight of 0.311 is the most important. Based on the weighting of the criteria, the strategies were prioritized and the results showed that a 20% reduction in aquifer abstraction by combining the construction of an underground barrier was selected as a solution to control the invasion of short water. The results of this solution showed that 317 m of saline water backflow will arise in the Nowshahr-Nur aquifer.
Probabilistic estimation of hydraulic fracture half-lengths: validating the Gaussian pressure-transient method with the traditional rate transient analysis-method (Wolfcamp case study)
Authors: Alvayed Dandi , Khalid Mohammed Sofian Ali , Dafaalla Moaz , Ali Ahmed , Ibrahim Ahmed Farid , Weijermars Ruud 
Published: August 2023

AbstractDespite significant advancements in geomodelling technologies, accurately estimating hydraulic fracture half-length remains a challenging task. This paper introduces a detailed estimation approach using the Gaussian Pressure Transient (GPT) method, which is relatively new. The GPT method is iterative, ensuring fast convergence and providing reliable estimations of hydraulic fracture half-length based on a predetermined hydraulic diffusivity value obtained from Gaussian Decline Curve Analysis (DCA). To validate the GPT results, production data from two case study wells in the Wolfcamp Shale Formation, located in the Midland Basin of West Texas, are utilized alongside the traditional Rate-Transient Analysis (RTA) method. Moreover, the GPT method offers the capability to probabilistically estimate hydraulic fracture half-lengths, presenting two innovative approaches to evaluate the robustness of this newly developed method for both deterministic and probabilistic estimations. The simulation results demonstrate a close correlation between the Gaussian method and micro-seismic fracture half-lengths, with separate confirmation from the classic RTA-method. Through the case studies presented in this paper, the GPT-method showcases its utility in estimating hydraulic fracture half-lengths for two Wolfcamp case study wells, effectively demonstrating the validity and practical applicability of this novel method.
On subspaces of spaces $$C_p(X)$$ isomorphic to spaces $$c_{0}$$ and $$\ell _{q}$$ with the topology induced from $$\mathbb {R}^{\mathbb {N}}$$
Authors: Ka̧kol Jerzy , Molto Anibal , Śliwa Wiesław 
Published: August 2023

AbstractThe linear space of all continuous real-valued functions on a Tychonoff space X with the pointwise topology (induced from the product space $$\mathbb {R}^X$$

R

X

) is denoted by $$C_p(X).$$

C
p

(
X
)

.

In this paper we continue the systematic study of sequences spaces $$c_{0}$$

c
0

and $$\ell _{q}$$

ℓ
q

(for $$0<q\le \infty $$

0
<
q
≤
∞

) with the topology induced from $$\mathbb {R}^{\mathbb {N}}$$

R

N

(denoted by $$(c_{0})_p$$

(

c
0

)

p

and $$(\ell _{q})_{p}$$

(

ℓ
q

)

p

, respectively) and their role in the theory of $$C_p(X)$$

C
p

(
X
)

spaces. For every infinite Tychonoff space X we construct a subspace F of $$C_p(X)$$

C
p

(
X
)

that is isomorphic to $$(c_{0})_p$$

(

c
0

)

p

; if X contains an infinite compact subset, then the copy F of $$(c_{0})_p$$

(

c
0

)

p

is closed in $$C_p(X)$$

C
p

(
X
)

. It follows that $$C_p(X)$$

C
p

(
X
)

contains a copy of $$(\ell _{q})_{p}$$

(

ℓ
q

)

p

for every $$0<q\le \infty $$

0
<
q
≤
∞

. We prove that for any infinite compact space X the space $$C_p(X)$$

C
p

(
X
)

contains no closed copy of $$(\ell _{q})_{p}$$

(

ℓ
q

)

p

for $$q\in (0, 1]\cup \{\infty \}$$

q
∈
(
0
,
1
]
∪
{
∞
}

and no complemented copy for $$0<q\le \infty $$

0
<
q
≤
∞

. Relation with results of Talagrand, Haydon, Levy and Odell will be also discussed. Examples and open problems will be provided.
Cognitive Remediation for Impulsivity in Addictive Disorders: Review of Current Evidence and Future Directions
Authors: Anderson Alexandra C. , Verdejo-Garcia Antonio 
Published: August 2023

Abstract
Purpose of Review
Impulsivity is a core feature underpinning addictive disorders linked to difficulties achieving and sustaining treatment goals. Cognitive remediation is a promising adjunct intervention approach to improve impulse control in addictive disorders, although evidence is still preliminary. This review summarizes available evidence and discusses opportunities to enhance the development and delivery of future interventions.

Recent Findings
We identified six studies that delivered cognitive remediation and assessed state impulsivity in substance use disorders. There was substantial heterogeneity in the intervention ingredients and delivery approaches. We identified key opportunities to enhance future cognitive remediation studies, including (1) co-designing interventions, (2) incorporating specific impulsivity training strategies, (3) increasing opportunities to practice skills, (4) supporting skill transfer to everyday settings, and (5) demonstrating clinician compassion.

Summary
Researchers should work alongside frontline clinicians and clients with addictive disorders to enhance the potential benefit of cognitive remediation interventions prior to high-quality trials.
Multi-attribute group decision-making based on intuitionistic fuzzy aggregation operators defined by weighted geometric means
Authors: Alcantud José Carlos R. 
Published: August 2023

AbstractThis paper proposes a multi-attribute group decision-making methodology that takes advantage of a new weighted geometric mean aggregation operator on intuitionistic fuzzy numbers (IFNs). To this purpose, first, we define the intuitionistic fuzzy direct weighted geometric operator on IFNs, then we prove that it is a representable intuitionistic aggregation operator, and afterwards, we compare it with other aggregation operators motivated by the geometric mean. We use two proxies for the quantitative comparison of performances, namely the average of the Euclidean distances to the IFNs and the sum of squared error inspired by the k-means clustering algorithm.
Human-Workspace Interaction: prior research efforts and future challenges for supporting knowledge workers
Authors: Fujita Kazuyuki , Takashima Kazuki , Itoh Yuichi , Kitamura Yoshifumi 
Published: August 2023

AbstractResearch efforts have previously explored various components of physical/virtual workspaces that adaptively interact with knowledge workers in order to support them in their work. In this paper, we propose an encompassing framework for these efforts, which we refer to as Human-Workspace Interaction (HWI), with the goal of increasing awareness and understanding of the research area and encouraging its further development. Specifically, we present a taxonomy of HWI focusing on the types of components, research approaches, interaction targets and objectives, and then review the prior research efforts over the past two decades based on these criteria. Finally, we discuss challenges to further advance the development of HWI and future prospects, taking into account the impact of the societal changes caused by the COVID-19 pandemic.
Konx: cross-resolution image quality assessment
Authors: Wiedemann Oliver , Hosu Vlad , Su Shaolin , Saupe Dietmar 
Published: August 2023

AbstractScale-invariance is an open problem in many computer vision subfields. For example, object labels should remain constant across scales, yet model predictions diverge in many cases. This problem gets harder for tasks where the ground-truth labels change with the presentation scale. In image quality assessment (IQA), down-sampling attenuates impairments, e.g., blurs or compression artifacts, which can positively affect the impression evoked in subjective studies. To accurately predict perceptual image quality, cross-resolution IQA methods must therefore account for resolution-dependent discrepancies induced by model inadequacies as well as for the perceptual label shifts in the ground truth. We present the first study of its kind that disentangles and examines the two issues separately via KonX, a novel, carefully crafted cross-resolution IQA database. This paper contributes the following: 1. Through KonX, we provide empirical evidence of label shifts caused by changes in the presentation resolution. 2. We show that objective IQA methods have a scale bias, which reduces their predictive performance. 3. We propose a multi-scale and multi-column deep neural network architecture that improves performance over previous state-of-the-art IQA models for this task. We thus both raise and address a novel research problem in image quality assessment.
Landau damping and particle trapping in the quantum regime
Authors: Mendonça J. Tito 
Published: August 2023

AbstractWe review research on electron plasma waves and Landau damping in the quantum regime. Quantum kinetic equations are also briefly reviewed. Particle trapping, harmonic fields, Volkov states in plasmas and other nonlinear effects are discussed. Furthermore, we show that quantum plasma models can be applied to classical plasmas. This includes photon Landau damping and quasiparticle turbulence, with a variety of applications from laser accelerators to space physics, and to particle confinement in magnetic fusion devices. Finally, the case of plasma behaviour in laser-cooled atoms is discussed. We show that the concept of quantum Landau damping is relevant, not only to quantum plasmas, but also to many problems in classical plasmas, and to ultracold matter where plasma models can be applied.
Maternal Underweight is Associated with Lower Fracture Risk after Pregnancy: A Nationwide Register-Based Study in Finland
Authors: Vaajala Matias , Liukkonen Rasmus , Kuitunen Ilari , Ponkilainen Ville , Mattila Ville M. 
Published: August 2023

AbstractLower body mass index (BMI) is associated with a higher risk for osteoporotic fractures in the postmenopausal population. However, in the fertile-aged population, the association between BMI and risk for fracture is not well studied. Our aim, therefore, is to investigate whether lower BMI (<18.5 kg/m2) affects the risk for fractures requiring hospitalization after delivery in fertile-aged women when compared to women of normal weight (18.5 ≤ BMI < 25 kg/m2). In this nationwide registry-based cohort study, all pregnancies were gathered from the National Medical Birth Register. The data were linked with data from the Care Register for Health Care, which includes information of all fractures leading to hospitalization or treated as outpatients for fertile-aged females (15–49 years), for the period 2004–2018. The annual rate of pregnancies with maternal pre-pregnancy underweight in a high-income country was calculated. Cox regression was used to calculate adjusted hazard ratios (aHR) of lower BMI for the risk for fracture within 5 years after delivery. The association between the risk of fracture and continuous BMI was assessed using logistic regression and presented with adjusted odds ratios (aORs) with 95% CIs. In total, 20,784 women were included in the underweight group and 344,753 in the normal weight group. Women in the underweight group had a lower overall risk for any fractures during the 5-year follow-up (aHR 0.75, CI 0.61–0.94). The odds for all fractures (aOR 1.07, CI 1.04–1.09 per BMI-unit upwards for all fractures) increased as pre-pregnancy BMI increased. Despite previous findings of a higher risk for fractures for underweight patients in the older population, the risk for fractures after pregnancy was lower among fertile-aged women with lower BMI.