bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integrating Menominee model for sustainable forestry with Systems Thinking competency through 3D virtual tours
Authors: Nasr-Azadani Ellie , Smithwick Erica A. H. , Steidle Stuart J. , Lucash Melissa S. , Wardrop Denice H. , Fregien Nathan T. , Kenote Thomas R. 
Published: August 2023

AbstractSustainability competencies enable planners, the public, local communities, academics, and development practitioners to address environmental challenges, better envision the future and devise practical solutions. A key competency in this framework is Systems Thinking, allowing individuals to think comprehensively at different temporal and spatial scales. Among all interested groups, local and Indigenous communities play a significant role in preserving the sustainability of the natural environment and co-producing knowledge based on traditional ecological knowledge. Hence, new approaches are needed to integrate traditional ecological values into competency-based practices to articulate problems and related solutions. This project introduces place-based scenarios rooted in conventional forest management concerning two identified subsets of Bloom’s Taxonomy, Remembering and Understanding, including some competencies necessary for thinking systemically. Overall, 57 participants, including students and staff of the College of Menominee Nation and Menominee community members, in northeast Wisconsin, USA, randomly experienced two visual tools with the same information presented as either: a website with simple 2D images or a 3D virtual tour to investigate which visualization method can help better articulate systems, their components, and behaviors. Participants answered two kinds of questionnaires based on either cognitive mapping or reflection on place-based scenarios. The results show that 3D virtual tour users better demonstrated proficiency in Remembering and Understanding compared to users who experienced the 2D website. Our results thus highlight the potential for 3D virtual experiences to enable sustainability competencies. However, given the observed differences among age and educational groups, future visualization tools and associated research methods should attend to audiences’ competencies, preferences, and comfort, especially among older age groups.
Validation of forearm fracture diagnoses in administrative patient registers
Authors: Omsland Tone Kristin , Solberg Lene B. , Bjørnerem Åshild , Borgen Tove T. , Andreasen Camilla , Wisløff Torbjørn , Hagen Gunhild , Basso Trude , Gjertsen Jan-Erik , Apalset Ellen M. , Figved Wender , Stutzer Jens M. , Nissen Frida I. , Hansen Ann K. , Joakimsen Ragnar M. , Figari Elisa , Peel Geoffrey , Rashid Ali A. , Khoshkhabari Jashar , Eriksen Erik F. , Nordsletten Lars , Frihagen Frede , Dahl Cecilie 
Published: August 2023

Abstract
Summary
The validity of forearm fracture diagnoses recorded in five Norwegian hospitals was investigated using image reports and medical records as gold standard. A relatively high completeness and correctness of the diagnoses was found. Algorithms used to define forearm fractures in administrative data should depend on study purpose.

Purpose
In Norway, forearm fractures are routinely recorded in the Norwegian Patient Registry (NPR). However, these data have not been validated. Data from patient administrative systems (PAS) at hospitals are sent unabridged to NPR. By using data from PAS, we aimed to examine (1) the validity of the forearm fracture diagnoses and (2) the usefulness of washout periods, follow-up codes, and procedure codes to define incident forearm fracture cases.

Methods
This hospital-based validation study included women and men aged ≥ 19 years referred to five hospitals for treatment of a forearm fracture during selected periods in 2015. Administrative data for the ICD-10 forearm fracture code S52 (with all subgroups) in PAS and the medical records were reviewed. X-ray and computed tomography (CT) reports from examinations of forearms were reviewed independently and linked to the data from PAS. Sensitivity and positive predictive values (PPVs) were calculated using image reports and/or review of medical records as gold standard.

Results
Among the 8482 reviewed image reports and medical records, 624 patients were identified with an incident forearm fracture during the study period. The sensitivity of PAS registrations was 90.4% (95% CI: 87.8–92.6). The PPV increased from 73.9% (95% CI: 70.6–77.0) in crude data to 90.5% (95% CI: 88.0–92.7) when using a washout period of 6 months. Using procedure codes and follow-up codes in addition to 6-months washout increased the PPV to 94.0%, but the sensitivity fell to 69.0%.

Conclusion
A relatively high sensitivity of forearm fracture diagnoses was found in PAS. PPV varied depending on the algorithms used to define cases. Choice of algorithm should therefore depend on study purposes. The results give useful measures of forearm fracture diagnoses from administrative patient registers. Depending on local coding practices and treatment pathways, we infer that the findings are relevant to other fracture diagnoses and registers.
Effect of exercise before and/or during taxane-containing chemotherapy treatment on chemotherapy-induced peripheral neuropathy symptoms in women with breast cancer: systematic review and meta-analysis
Authors: Brownson-Smith Rosiered , Orange Samuel T. , Cresti Nicola , Hunt Katherine , Saxton John , Temesi John 
Published: August 2023

Abstract

Purpose
To systematically review and meta-analyse the efficacy of exercise interventions delivered before and/or during taxane-containing chemotherapy regimens on chemotherapy-induced peripheral neuropathy (CIPN), fatigue, and health-related quality of life (HR-QoL), in women with breast cancer.

Methods
Seven electronic databases were systematically searched for randomised controlled trials (RCTs) reporting on the effects of exercise interventions in women with breast cancer receiving taxane-containing chemotherapeutic treatment. Meta-analyses evaluated the effects of exercise on CIPN symptoms, fatigue, and HR-QoL.

Results
Ten trials involving exercise interventions ranging between 2 and 12 months were included. The combined results of four RCTs consisting of 171 participants showed a reduction in CIPN symptoms following exercise compared with usual care (standardised mean difference − 0.71, 95% CI − 1.24 to − 0.17, p = 0.012; moderate-quality evidence, I
2 = 76.9%). Pooled results from six RCTs with 609 participants showed that exercise interventions before and/or during taxane-containing chemotherapy regimens improved HR-QoL (SMD 0.42, 95% CI 0.07 to 0.76, p = 0.03; moderate-quality evidence, I
2 = 49.6%). There was no evidence of an effect of exercise on fatigue (− 0.39, 95% CI − 0.95 to 0.18, p = 0.15; very low-quality evidence, I
2 = 90.1%).

Conclusions
This systematic review found reduced levels of CIPN symptoms and an improvement in HR-QoL in women with breast cancer who exercised before and/or during taxane-based chemotherapy versus usual care controls.

Implications for Cancer Survivors
This evidence supports the role of exercise as an adjunctive treatment for attenuating the adverse effects of taxane-containing chemotherapy on CIPN symptoms and HR-QoL.
EOG acquisition system based on ATmega AVR microcontroller
Authors: Abdel-Samei Abdel-Gawad A. , Shaaban Abdel-Salam , Brisha Ayman M. , El-Samie Fathi E. Abd , Ali Ahmed S. 
Published: August 2023

AbstractThis paper presents a hardware and software of an electrooculogram (EOG) acquisition system based on ATmega AVR microcontroller for the acquisition of vertical and horizontal eye movements. The presented system is used to acquire a dataset of eye movements for volunteers. This system gives two channels representing vertical and horizontal EOG signals. The frequency range of the EOG signal is known to be 0.1 to 10 Hz, and hence this frequency range is isolated with a High-Pass Filter (HPF) with a cutoff frequency of 0.1 Hz followed by a Low-Pass Filter (LPF) with a cutoff frequency of 10 Hz. The EOG acquisition system is interfaced with an ATmega AVR microcontroller to acquire a dataset that can be used for controlling hardware such as Light Emitting Diodes (LEDs), wheelchair, and robot arm. The presented system is composed of EOG signal acquisition, Ag/AgCl electrodes, analog-to-digital converter through Arduino Mega 2560 board microcontroller unit, trainer board, laptop, keypad, and Liquid Crystal Display (LCD). The eye movement is detected by measuring the potential difference between cornea and retina using five Ag–Agcl disposable electrodes. Different volunteers of different ages at different times have been treated with the presented system to obtain data. Classified vertical and horizontal EOG signals and the basic eye movements e.g., open eye, left, right, up, and down can be used to control robots and wheelchairs for rehabilitation purposes.
Statistical analysis of heat-induced rock physics and mineralogical alteration processes of monzogranite samples from Bátaapáti, Hungary
Authors: Németh Andor , Török Ákos 
Published: August 2023

AbstractHeat-induced physical changes of rocks, as would happen in fire accidents, have crucial importance in the long-term stability of underground openings such as tunnels or radioactive waste disposal chambers. The thermal behaviour of monzogranite from the Radioactive waste repository of Bátaapáti (Hungary) was studied in that context. Room temperature (22 °C) and a series of high temperature (250 °C, 375 °C, 500 °C, 625 °C, 750 °C) heat-treated samples were tested. P and S- ultrasound pulse velocity, bulk density, Duroskop rebound, uniaxial compressive strength, and modulus of elasticity were measured and compared, detecting temperature-related changes. Descriptive statistics and non-parametric Kruskal–Wallis and Median tests were carried out to analyze the heat-induced rock mechanical and mineralogical alteration processes. Based on these results using the data set of physical parameters, it is possible to predict the heating temperature of granitic rocks when the firing or heat stress conditions are unknown. Additionally, the data could be utilized for design and monitoring systems in underground repositories or tunnel systems constructed in granitic rock settings globally. The study demonstrated that significant alteration occurs above 500 °C; all studied rock-mechanical parameters decreased rapidly. These changes are linked to the thermal expansion, micro-cracking in micro-fabric, and volumetric increase and fragmentation of quartz inversion. Consequently, the propagation velocities of P- and S-waves also decreased significantly. Bulk density and Duroskop surface strength significantly decreased above 375 °C, while uniaxial compressive strength and modulus of elasticity dropped drastically at 750 °C after a linear decrease.
Applied machine learning-based models for predicting the geomechanical parameters using logging data
Authors: Sanei Manouchehr , Ramezanzadeh Ahmad , Delavar Mohammad Reza 
Published: August 2023

AbstractGeomechanical (GM) parameters play a significant role in geomechanical studies. The calculation of GM parameters by analyzing finite rock samples is very limited. The GM parameters show a nonlinear trend; thus, applying empirical relationships is unreliable to predict their quantities. Machine learning (ML) methods are generally used to improve the estimation of such parameters. Recent researches show that ML methods can be useful for estimating GM parameters, but it still requires analyzing different datasets, especially complex geological datasets, to emphasize the correctness of these methods. Therefore, the aim of this study is to provide a robust recombinant model of the ML methods, including genetic algorithm (GA)–multilayer perceptron (MLP) and genetic algorithm (GA)–radial basis function (RBF), to estimate GM parameters from a complex dataset. To build ML models, 48,370 data points from six wells in the complicated Norwegian Volve oil field are used to train GA–MLP and GA–RBF methods. Moreover, 20,730 independent data points from another three wells are used to verify the GM parameters. GA–MLP predicts GM parameters with the root-mean-squared error (RMSE) of 0.0032–00079 and coefficient determination (R2) of 0.996–0.999. It shows similar prediction accuracy when used to an unseen dataset. Comparing the results indicates that the GA–MLP model has better accuracy than the GA–RBF model. The results illustrate that both GA–MLP and GA–RBF methods perform better at estimating GM parameters compared to empirical relationships. Concerns about the integrity of the methods are indicated by assessing them on another three wells.
Perineural invasion in colorectal cancer: mechanisms of action and clinical relevance
Authors: Wang Hao , Huo Ruixue , He Kexin , Cheng Li , Zhang Shan , Yu Minhao , Zhao Wei , Li Hui , Xue Junli 
Published: August 2023

Abstract
Background
In recent years, the significance of the nervous system in the tumor microenvironment has gained increasing attention. The bidirectional communication between nerves and cancer cells plays a critical role in tumor initiation and progression. Perineural invasion (PNI) occurs when tumor cells invade the nerve sheath and/or encircle more than 33% of the nerve circumference. PNI is a common feature in various malignancies and is associated with tumor invasion, metastasis, cancer-related pain, and unfavorable clinical outcomes. The colon and rectum are highly innervated organs, and accumulating studies support PNI as a histopathologic feature of colorectal cancer (CRC). Therefore, it is essential to investigate the role of nerves in CRC and comprehend the mechanisms of PNI to impede tumor progression and improve patient survival.

Conclusion
This review elucidates the clinical significance of PNI, summarizes the underlying cellular and molecular mechanisms, introduces various experimental models suitable for studying PNI, and discusses the therapeutic potential of targeting this phenomenon. By delving into the intricate interactions between nerves and tumor cells, we hope this review can provide valuable insights for the future development of CRC treatments.
Precision Nutrition to Improve Risk Factors of Obesity and Type 2 Diabetes
Authors: Antwi Janet 
Published: August 2023

Abstract
Purpose of Review
Existing dietary and lifestyle interventions and recommendations, to improve the risk factors of obesity and type 2 diabetes with the target to mitigate this double global epidemic, have produced inconsistent results due to interpersonal variabilities in response to these conventional approaches, and inaccuracies in dietary assessment methods. Precision nutrition, an emerging strategy, tailors an individual’s key characteristics such as diet, phenotype, genotype, metabolic biomarkers, and gut microbiome for personalized dietary recommendations to optimize dietary response and health. Precision nutrition is suggested to be an alternative and potentially more effective strategy to improve dietary intake and prevention of obesity and chronic diseases. The purpose of this narrative review is to synthesize the current research and examine the state of the science regarding the effect of precision nutrition in improving the risk factors of obesity and type 2 diabetes.

Recent Findings
The results of the research review indicate to a large extent significant evidence supporting the effectiveness of precision nutrition in improving the risk factors of obesity and type 2 diabetes. Deeper insights and further rigorous research into the diet-phenotype-genotype and interactions of other components of precision nutrition may enable this innovative approach to be adapted in health care and public health to the special needs of individuals.

Summary
Precision nutrition provides the strategy to make individualized dietary recommendations by integrating genetic, phenotypic, nutritional, lifestyle, medical, social, and other pertinent characteristics about individuals, as a means to address the challenges of generalized dietary recommendations. The evidence presented in this review shows that precision nutrition markedly improves risk factors of obesity and type 2 diabetes, particularly behavior change.
Fish stories between past and future: competing and complementary heritage imaginaries in the Northeast Adriatic
Authors: Rogelja Caf Nataša , Bofulin Martina , Pipan Primož 
Published: August 2023

AbstractThe article addresses the topic of coastal transformations through the lens of the critical heritage approach. It focuses on fish as a vehicle to assess how heritage as a particular type of imaginary and discourse conveys the social, cultural, political and economic transformations of the area. The two fish chosen to represent the heritage imaginaries in the Northeast Adriatic Bay of Piran are the wild mullet and farmed seabass. Both species are seen as local but each in its particular way. Mullet has acquired a local status by appearing annually in the Bay of Piran where local traditions developed around its catch. Farmed seabass became local through the process of domestication after it traversed large distances across the land to arrive in the Bay’s meshed cages. Through detailed ethnographies and textual and visual discourse analysis, the authors find an array of competing and complementary heritage imaginaries surrounding both fish. These imaginaries highlight frictions as a central part of the present-day life on the coast as well as unease about the future, and can be discerned in the tense relation between fishing and mariculture, the competing ideologies of the local, national and the global and the disappearance of previous ways of life in the face of rapid coastal transformation.
Estuarine territorialization and the port of Hamburg
Authors: Hein Jonas , Hilder Nils 
Published: August 2023

AbstractThe port of Hamburg is the third-largest port in Europe and located approximately 120 km from the North Sea in the inner delta of the vast Elbe estuary. The foundation, expansion, and maintenance of Hamburg’s port required the reconfiguration of the estuary and its inner delta. Dredging and reclamation have transformed aquatic spaces and provided the material framework conditions for shipping and port industry. We build our contribution on an analysis of contemporary and historical documents, newspaper articles, and qualitative interviews, focusing on the metabolism of territorialization and protests against port expansion. Conceptually, we formulate a political ecology of estuarine territorialization and show how the materiality and the tidal-fuelled power of the Elbe estuary and constant dredging produce a specific form of territoriality, which is itself dynamic and in constant change, reflecting power dynamics within society and among humans and the estuary.
Ambient temperature and kidney function in primary care patients
Authors: Schietzel Simeon , Zechmann Stefan , Valeri Fabio , Staudinger Maria , Cippà Pietro , Seibert Jan , Senn Oliver , Seeger Harald 
Published: August 2023

Abstract
Introduction
Exposure to high ambient temperatures is associated with a risk of acute kidney injury. However, evidence comes from emergency departments or extreme weather exposures. It is unclear whether temperature-related adverse kidney outcomes can also be detected at a community level in a temperate climate zone.

Methods
In a 9.5-year retrospective cohort study we correlated estimated glomerular filtration rate (eGFR) values of Swiss adult primary care patients from the FIRE cohort (Family medicine Research using Electronic medical records) with same-day maximum local ambient temperature data. We investigated 5 temperature groups (< 15 °C, 15–19 °C, 20–24 °C, 25–29 °C and  ≥ 30 °C) as well as possible interactions for patients with increased kidney vulnerability (chronic heart failure, diabetes, chronic kidney disease, therapy with renin–angiotensin–aldosterone-system (RAAS) inhibitors, diuretics or non-steroidal anti-inflammatory drugs).

Results
We included 18,000 primary care patients who altogether provided 132,176 creatinine measurements. In the unadjusted analysis, higher ambient temperatures were associated with lower eGFR across all age and vulnerability groups. In the adjusted models, we did not find a consistent association.The highest ambient temperature differences (> 25 or > 30 versus < 15 °C) were associated with marginally reduced kidney function only in patients with ≥ 3 risk factors for kidney vulnerability, with a maximum estimated glomerular filtration rate reduction of −2.9 ml/min/1.73m2 (SE 1.0), P 0.003.

Discussion
In a large primary care cohort from a temperate climate zone, we did not find an association between ambient temperatures and kidney function. A marginal inverse association in highly vulnerable patients is of unclear clinical relevance.

Graphical abstract
Comparing Transcranial Direct Current Stimulation (tDCS) with Other Non-Invasive Brain Stimulation (NIBS) in the Treatment of Alzheimer’s Disease: A Literature Review
Authors: Wang Carol Sheei-Meei , Chang Wei-Hung , Yang Yen-Kuang , Cheng Kuo-Sheng 
Published: August 2023

Abstract
Purpose
Identifying the effective treatments for diseases has been a critical issue in daily clinical practice, especially for Alzheimer’s dementia (AD). Abundant evidence showed that non-invasive brain stimulation (NIBS) has the potential to slow or reverse cognitive function decline. Among them, the transcranial Direct Current Stimulation (tDCS) would be relatively safe for patients with AD. The purpose of this study was to review the relevant articles to explore the mechanism and effect of tDCS and other NIBS in AD treatment.

Methods
All the reported works were retrieved from two databases (i.e., PubMed and Google Scholar) by using the keywords “NIBS” and “AD”. The mechanisms and effects of different NIBS applied in AD, including transcranial ultrasound stimulation (TUS), transcranial near-infrared (tNIR) light therapy, transcranial magnetic stimulation (TMS), and transcranial electric stimulation (TES) were reviewed.

Results
The positive effects of TUS and tNIR on AD were supported by a few small samples and uncontrolled pilot studies. tDCS and repetitive TMS have been often used in an attempt to improve the cognition in people with brain disorders. Both the tDCS and TMS have benefits in AD by introducing long-term potentiation like change in synaptic strength. The reports showed that tDCS could be more safe, convenient, affordable, and well-tolerated method among all applications for AD treatment.

Conclusion
In this review, it was shown that all the NIBS have positive effects on AD treatment. But, however, tDCS showed the great potential in improving the cognition of AD.
Addressing a Counterproductive Dichotomy in the Energy Transition Debate
Authors: Raugei Marco 
Published: August 2023

AbstractThere appears to be growing polarization in a large swath of the recent scientific literature on the renewable energy transition, where two opposed “camps” may be identified, i.e. that of the “systemic pessimists”, who champion the broad concepts of carrying capacity and the limits to growth, but often harbour what appears to be pre-conceived scepticism towards renewable energies, and that of the “technological optimists”, who instead typically focus more narrowly on the immediate goal of phasing out fossil fuels, and see great potential for renewable energies to achieve that, but often fail to address other issues of ultimate planetary limits. It is argued here that this is a false dichotomy that is damaging to the reputation of both “camps”, and which risks devaluing and trivializing the most important question of all, namely how to achieve long-term sustainability. This paper calls for the rekindling of a more constructive debate that starts from the recognition that both sets of core arguments (respectively, those centred on the limits to growth and those pointing to the viability of renewable energies) are often simultaneously true, and which moves the goalposts further, to establish to which extent a more sustainable future is indeed possible, and which systemic changes (including, but not limited to, phasing out fossil fuels) will be required to achieve it.