bluuebunny/crossref_metadata_2025_split huggingface dataset:
Elemental Composition and Health Risk Assessment of Deep-Sea Teleost’s of the Levantine Basin
Authors: Çiftçi Nuray , Ayas Deniz 
Published: July 2024

AbstractThe determination of metal(loid) (As, Fe, Al, Sr, Zn, Pb, Mn, Cu, Cr, and Cd) levels in the muscle tissue of 23 different deep-sea bony fish sampled off Mersin Bay (NE Levantine Basin) and the assessment of health risks for human consumption were aimed. Tissue metal(loid) concentrations were determined as dry weight and analyzed by inductively coupled plasma mass spectrometry (ICP-MS). The tissue metal(loid) concentrations (µg g dw) were converted to wet weight prior to health risk assessment calculations. Standard mathematical formulas were used to determine the health risk assessment. There was a statistically significant difference between the fish species in terms of tissue metal(loid) levels (p < 0.05). The highest metal(loid) level was found in C. sloani among other species. As and Fe had the highest and Cd the lowest tissue concentrations in the examined species (p < 0.05). The relationships between the metal(loid)s analyzed in the tissue were significant (p < 0.01;0.05). Fe had an antagonistic effect with Cd, while other metal(loid)s had a synergetic effect with each other. Risk assessment analyses were performed for the consumable species, and it was found that the estimated daily and weekly intakes were below the tolerable limits established by the Food and Agriculture Organization (FAO) and the World Health Organization (WHO). The target hazard quotient (THQ) values exceeded the threshold of 1 (THQ > 1) only for As. The target cancer risk (TCR) was below the tolerable limits (> 10−5) except for As, Cd, and Al.
Treatment patterns and humanistic burden of malignant pleural mesothelioma in Spain
Authors: Cedres Susana , Calvete Julio , Taylor-Stokes Gavin , Ayerza Néstor Álvarez , Larena David Vilanova , Daumont Melinda 
Published: July 2024

Abstract

Purpose
Malignant pleural mesothelioma (MPM) is an aggressive cancer with long latency and poor prognosis. The real-world treatment patterns and humanistic burden of MPM in an international cohort of patients were recently published. Spanish data are currently lacking and are reported here.

Methods/Patients
Data were collected from three sources: physician-abstracted demographic, clinical and treatment characteristics of patients with MPM; patient-completed questionnaires on treatment satisfaction, symptoms, caregiver use, and impact of the disease; and caregiver-completed questionnaire reporting their activity and its impact on their daily life.

Results
The 241 patients in Spain were primarily elderly (median age: 67 years), male, retired/unemployed/on long-term sick leave, and diagnosed at stage IV with unresectable disease. Exposure to asbestos was detected (54%, 101/188). First-line treatment (1L) consisted primarily of doublet chemotherapy (86%, 207/241). Of 102 patients who completed 1L at data abstraction, 67 were receiving maintenance therapy, most commonly singlet chemotherapy with pemetrexed. Best supportive care was given to 29 patients, primarily after 1L (86.2%, 25/29). Symptom burden was high and health-related quality of life was poor and declined with progression: mean (SD) EQ-5D score and EQ-5D visual analogue scale score were 0.615 (0.285) and 60.8 (17.1) in 1L and 0.497 (0.370) and 56.1 (19.5) in second line. Overall, 67% of patients (162/241) required daily assistance from their caregiver, who reported an impact on their psychological well-being.

Conclusions
Patients with MPM in Spain were overall treated according to treatment guidelines at the time. Nevertheless, a considerable burden of disease was reported by patients and caregivers.
One-dimensional deep learning driven geospatial analysis for flash flood susceptibility mapping: a case study in North Central Vietnam
Authors: Hoa Pham Viet , Binh Nguyen An , Hong Pham Viet , An Nguyen Ngoc , Thao Giang Thi Phuong , Hanh Nguyen Cao , Ngo Phuong Thao Thi , Bui Dieu Tien 
Published: July 2024

AbstractFlash floods rank among the most catastrophic natural disasters worldwide, inflicting severe socio-economic, environmental, and human impacts. Consequently, accurately identifying areas at potential risk is of paramount importance. This study investigates the efficacy of Deep 1D-Convolutional Neural Networks (Deep 1D-CNN) in spatially predicting flash floods, with a specific focus on the frequent tropical cyclone-induced flash floods in Thanh Hoa province, North Central Vietnam. The Deep 1D-CNN was structured with four convolutional layers, two pooling layers, one flattened layer, and two fully connected layers, employing the ADAM algorithm for optimization and Mean Squared Error (MSE) for loss calculation. A geodatabase containing 2540 flash flood locations and 12 influencing factors was compiled using multi-source geospatial data. The database was used to train and check the model. The results indicate that the Deep 1D-CNN model achieved high predictive accuracy (90.2%), along with a Kappa value of 0.804 and an AUC (Area Under the Curve) of 0.969, surpassing the benchmark models such as SVM (Support Vector Machine) and LR (Logistic Regression). The study concludes that the Deep 1D-CNN model is a highly effective tool for modeling flash floods.
Reducing Mineral Fertilizer Usage: Utilizing Sheep Wool and Alkaline Hydrolysate for Enhanced Sugar Beet Cultivation
Authors: Taskin Mehmet Burak 
Published: July 2024

AbstractThe effects of sheep wool (SW) and its hydrolysate (H) on the vegetative growth, root development, nutrient concentrations and sugar quality parameters of sugar beet grown under full (FF) and reduced fertilizer (RF) conditions were investigated. The treatments were as follows: FF, FF + SW (4 g kg−1) and FF + SW + H (4 g kg−1 + 4 ml kg−1), RF, RF + SW (4 g kg−1) and RF + SW + H (4 g kg−1 + 4 ml kg−1). The shoot and root samples were collected at two-week intervals from the beginning of root development to harvest. In these samples, temporal change of leaf mineral element concentrations and sugar quality parameters of the sugar beet roots were determined. Reduced fertilizer application did not have a negative effect on shoot and root growth. SW and SW + H treatments significantly increased total shoot (40.2 and 52.1%) and root yield (4.59 and 7.61%) of sugar beet in reduced fertilizer conditions. Nitrogen (N), calcium (Ca) and magnesium (Mg) concentrations of shoots increased significantly with SW and SW + H applications. Similar increases were also observed for phosphorus (P) in the 3rd sampling period. The treatments did not have an effect on potassium (K) concentrations of shoots but some increases observed in Na and α-amino N concentrations depending on SW and SW + H treatments. The SW and SW + H treatments significantly reduced sugar existence and refined sugar existence. On the other hand, the treatments had no significant effect on the refined sugar at harvest periods. Sheep wool and H can be incorporated into organomineral fertilizers, potentially reducing excessive fertilizer use and improving fertilizer efficiency.
3D point cloud reconstruction using panoramic images
Authors: Sharma Surendra Kumar , Jain Kamal , Shukla Anoop Kumar 
Published: July 2024

AbstractPanorama photogrammetry, the process of analyzing panoramic images, has gained popularity in close-range photogrammetry for 3D reconstruction over the past decade. Initially, researchers utilized cylindrical or spherical panoramic images created through specialized cameras or conventional ones with rectilinear lenses. However, these methods were hindered by the high cost of panorama equipment and the need for manual reconstruction. Consequently, there's a growing demand for automated algorithms capable of reconstructing 3D point clouds from stitched panorama images. This study aims to provide a cost-effective solution for automatic 3D point cloud reconstruction from panoramas. The study is divided into two parts; it first outlines an image acquisition strategy for capturing overlapping perspective images to facilitate accurate panorama generation. Subsequently, it introduces an automated algorithm for 3D point cloud reconstruction from panorama images. The process utilizes the KAZE feature detector for feature detection and introduces a novel feature matching approach for matching panorama images. Accuracy assessment of the reconstructed 3D point clouds was done using three methods: Line Segment Based approach, yielding RMSE errors of 34.2mm and 39mm for dataset-1 and dataset-2 respectively, No-Reference 3D Point Cloud Quality Assessment, resulting in quality scores of 8.5939 and 7.4535 for dataset-1 and dataset-2 respectively, and M3C2 distance method computed value of 0.091059 and 0.165179 respectively, indicating high quality of the generated point clouds.
The Impact of Compassion Writing Interventions on Body Dissatisfaction, Self-Compassion, and Fat Phobia
Authors: Gracias Kimaya R. , Stutts Lauren A. 
Published: July 2024

Abstract
Objectives
Body dissatisfaction is a prevalent concern among women in the United States. Self-compassion writing interventions have been found to reduce body dissatisfaction. However, limited research has examined how writing interventions on compassion for one’s body compares to writing interventions on compassion for others’ bodies, and no previous studies examined the effects of those interventions on fat phobia. This study’s main aim was to examine the impact of compassion writing interventions on body dissatisfaction, self-compassion, and fat phobia in women.

Methods
Participants included 198 women (age M = 38.97, SD = 11.72; range 18–65) from the general U.S. population who were randomized to one of three groups: self-compassion (wrote about being compassionate toward one’s body concerns), other-compassion (wrote about being compassionate toward another woman’s body concerns), and control (wrote about their tasks/activities in the previous two days). Participants completed questionnaires on their state body dissatisfaction, state self-compassion, and fat phobia pre- and post-intervention.

Results
State body dissatisfaction significantly decreased, and state self-compassion significantly increased in the self-compassion group. State self-compassion significantly increased in the other-compassion group. Although we found a significant time effect across groups for fat phobia, fat phobia scores only decreased in the self-compassion and other-compassion groups.

Conclusions
The self-compassion writing intervention had the most impact on body-related variables and may be valuable for women between 18 and 65 years old.

Preregistration
This study was not preregistered.
Long-term outcomes of CNS WHO grade 2 oligodendroglioma in adult patients: a single-institution experience
Authors: Byeon Yukyeng , Lee Chaejin , Jeon Juhee , Kim Gung Ju , Chong Sangjoon , Kim Young-Hoon , Cho Young Hyun , Hong Seok Ho , Hong Chang-Ki , Kim Jeong Hoon , Song Sang Woo 
Published: July 2024

Abstract
Purpose
Oligodendrogliomas (ODGs) are a subtype of diffuse lower-grade gliomas with overall survival of > 10 years. This study aims to analyze long-term outcomes and identify prognostic factors in patients with WHO grade 2 ODG.

Methods
We retrospectively reviewed 138 adult patients diagnosed with 1p/19q co-deleted ODG who underwent surgical resection or biopsy between 1994 and 2021, analyzing clinical data, treatment details, and outcomes. Progression-free survival (PFS) and overall survival (OS) were evaluated using Kaplan–Meier analysis. Univariate and multivariate Cox regression analyses were utilized to identify significant prognostic factors.

Results
In the gross total resection (GTR) group, 63 (45.7%) underwent observation and 5 (3.6%) received postoperative treatment; in the non-GTR group, 37 (26.8%) were observed and 33 (23.9%) received postoperative treatment. The median PFS and OS were 6.8 and 18.4 years, respectively. Between adjuvant treatment and observation, there was no significant difference in PFS or OS. However, GTR or STR with less than 10% residual tumor exhibited significantly better PFS and OS compared to PR or biopsy (p = 0.022 and 0.032, respectively). Multivariate analysis revealed that contrast enhancement on MRI was associated with worse PFS (HR = 2.36, p < 0.001) and OS (HR = 5.89, p = 0.001). And the presence of seizures at presentation was associated with improved OS (HR = 0.28, p = 0.006).

Conclusion
This study underscores favorable long-term outcomes for patients with 1p/19q co-deleted ODG WHO grade 2. Our findings indicate that the EOR plays a crucial role as a significant prognostic factor in enhancing PFS and OS outcomes in WHO grade 2 ODG.
Incumbent inertia, innovativeness, and performance (dis)advantages: A demand-side learning perspective
Authors: Bohlmann Jonathan D. , Stanko Michael A. , Spanjol Jelena 
Published: July 2024

AbstractStrategies of incumbent firms have received considerable attention in marketing and across business disciplines, but findings regarding performance (dis)advantages and innovativeness are mixed. Prior studies on supply-side sources (factors internal to the firm) of incumbent inertia disadvantages are more prevalent than those on demand-side factors, which relate to a firm’s customers and may explain potential incumbent advantages. We introduce an integrated demand-side framework to incumbent inertia, recognizing how the supply- and demand-side factors interrelate through learning mechanisms. On the one hand, incumbent firms learn and develop various routines and assets that influence their product strategies, typically reflecting inertia and incremental innovation. At the same time, customers learn about products in the market, forming preferences that reflect switching costs and network externalities (demand-side factors). Although an incumbent can gain advantages from demand-side effects, this could accelerate the onset of supply-side disadvantages. We present a set of research propositions that specify critical effects, and examine implications for incumbent strategies.
Open-hole extension limit of offshore extended-reach well considering formation collapse
Authors: Zhang Juncheng , Li Jun , Li Zhonghui , Hu Pengjie , Lian Wei , Yang Hongwei , Han Jiaming 
Published: July 2024

AbstractThe current extension limit prediction model for offshore extended-reach well (ERW) in mudstone does not consider the formation collapse, which poses a huge risk to offshore drilling construction. To address this problem, this paper presents new open-hole extension limit prediction model for ERW. By considering formation collapse, rate of penetration (ROP), and annular pressure loss, the extension limit models during normal drilling and tripping were derived. The sensitivity of geological and engineering factors was evaluated by analyzing limits for wells 1H and 2H. The research results showed that: (1) The extension limit increases with the ROP and formation collapse duration, but decreases with the increase in mud weight, plastic viscosity, and flow rate. (2) In ERWs, the mud flow rate has a significant impact on the extension limit than the plastic viscosity of mud fluid. However, mud weight has the least impact compared to the two. (3) Considering various parameters, the predicted extension limit of well 1H, when the mud weight is 1.16 g/cm3 [9.67 ppg], is 1593.28 m [5225.96 ft] less than the limit when the collapse period is not considered.
The construction of the metaphorical teacher in policy: Strong Beginnings for compliant victims
Authors: McCandless Trevor , Moss Julianne , Fox Brandi , Chandir Harsha 
Published: July 2024

AbstractAn analysis of teacher metaphors has long been a feature of research into the development of early career teacher identity, however, the metaphors used to construct the ideal teacher in educational policy remains under-researched. These policy documents explicitly seek to frame what it means to be an effective teacher. As such, an analysis of the metaphors used in these documents to describe teachers ought to provide insights into how policy makers perceive teachers, particularly early career teachers, not least in how these metaphors differ from those held by early career teachers themselves. This research finds that a recent Australian government policy document Strong Beginnings, with the explicit aim to make initial teacher education courses more effective in producing teachers likely to stay in the profession, provides teacher metaphors that fall within three overarching categories: saviour, victim and compliant teachers. These categories of metaphor rarely overlap with those early career teachers use to describe either themselves or their profession. The teacher as compliant metaphor is mostly constructed indirectly by first making initial teacher education courses compliant in teaching core content. In this way policy proposes it is best placed to mandate changes to initial teacher education courses to ensure they produce effective teachers, and this effectiveness will be the deciding feature in keeping them in the profession long-term. This paper argues the mismatch of metaphors between those held by policy and early career teachers is likely to undermine this assumption.
HIV in Eswatini: Climate Change Impacts and Adaptation Strategies
Authors: Mkhatshwa Neliswa P. , Dlamini Wisdom Mdumiseni , LaBeaud Angelle Desiree , Mandalakas Anna M. , Lanza Kevin 
Published: July 2024

Abstract
Purpose of Review
This review assessed the impact of climate change on HIV transmission and HIV care of children and adults in Eswatini, and what adaptation strategies can mitigate these impacts.

Recent Findings
The HIV crisis in Eswatini persists alongside the climate emergency, increasing poor health outcomes in individuals living with HIV. Although there is no clinical evidence of a direct influence of climate change on the biological effect of HIV, changing weather patterns have an effect on the livelihoods and sustenance of children, adults, and caregivers, which may consequently increase the likelihood of HIV transmission and disrupt HIV care.

Summary
Drought conditions—expected to increase with climate change—coupled with existing food insecurity and poverty are the main pathways linking HIV and climate change in Eswatini. Other climate-driven concerns for HIV treatment and care in Eswatini include heat waves, wildfires, floods, and storms.
Numerical Analysis of the Influence of Demolding Temperature on Final Distortion in Gravity Die Casting Process
Authors: Gor S. , Wolff N. , Pustal B. , Bührig-Polaczek A. 
Published: July 2024

AbstractDistortion can be a prominent issue in the production of metal casting components, especially when using metal dies. Existing research underscores the pivotal role of the temperature at which the solidified component is extracted from the mold in contribution to the ultimate distortion of the component. This numerical investigation seeks a comprehensive understanding of the factors governing deformation by employing simulations that emulate experimental conditions. The study utilizes coupled thermomechanical simulations, executed through the commercial software “Abaqus,” across varying demolding temperatures. The temporal evolution of distortion is examined, with a focus on influential factors such as elastic and thermal strain. A quantitative and qualitative comparison is drawn between simulation outcomes and experimental results. The difference between experimental and simulation results was observed to increase linearly with higher demolding temperatures. The potential for leveraging the qualitative similarity between experimental and simulation results as a foundation for the development of distortion control strategies is deliberated.
Mutually Orthogonal Bioorthogonal Reactions: Selective Chemistries for Labeling Multiple Biomolecules Simultaneously
Authors: Venrooij Kevin R. , de Bondt Lucienne , Bonger Kimberly M. 
Published: July 2024

AbstractBioorthogonal click chemistry has played a transformative role in many research fields, including chemistry, biology, and medicine. Click reactions are crucial to produce increasingly complex bioconjugates, to visualize and manipulate biomolecules in living systems and for various applications in bioengineering and drug delivery. As biological (model) systems grow more complex, researchers have an increasing need for using multiple orthogonal click reactions simultaneously. In this review, we will introduce the most common bioorthogonal reactions and discuss their orthogonal use on the basis of their mechanism and electronic or steric tuning. We provide an overview of strategies to create reaction orthogonality and show recent examples of mutual orthogonal chemistry used for simultaneous biomolecule labeling. We end by discussing some considerations for the type of chemistry needed for labeling biomolecules in a system of choice.
Optimal design of selected features of exhaust system shields using different optimization methods and artificial neural networks
Authors: Długosz Adam , Jarosz Joachim 
Published: July 2024

AbstractThe article presents problems related to methods of optimal design of heat shields used in exhaust systems of internal combustion engines. The optimization method proposed in this paper goes well beyond the scope of the standard design process. The paper uses a variety of local and global optimization algorithms, those both built into numerical simulation systems and in-house and external algorithms. An optimization criterion was defined and numerically implemented, together with constraints derived from the real requirements for this type of shielding. A simplified numerical model of finite element method providing the required accuracy adapted to the optimization task was developed. In addition, the work also presents a method for creating finite element surrogate models using artificial neural networks. The process of selecting the network topology and its learning allowed the development of a metamodel characterized by very good quality, for which, despite the relatively large number of design variables, the response errors are completely acceptable from a practical point of view. Numerical results were compared and developed for the used methods and algorithms.
Skill, status and the Matthew effect: a theoretical framework
Authors: Bask Mikael 
Published: July 2024

AbstractTo gain a deeper understanding of the Matthew effect in academic recognition among researchers, three social influence models of status hierarchies in the form of agent-based models are presented, where the positivity of the Lyapunov characteristic exponent is the quantitative operationalization of the Matthew effect. We find that the Matthew effect in status attribution is a generic property of the social influence model where skills depend on status (28.1% of all examined parameterizations) twice as often as in the model with constant skills (14.1%) and that the Matthew effect is a generic property of the model where skills depend on previous skills (43.0%) trice as often as in the model with constant skills. Hence, if one argues in favor of a meritocratic system in which research grants are awarded based on researchers’ skills rather than their status in the scientific community, and if grant-providing bodies also adhere to this principle, there is a higher probability of observing the Matthew effect in academic recognition among researchers. Employing the Lyapunov characteristic exponent to investigate the presence of the Matthew effect in a theoretical model is novel in the literature.