bluuebunny/crossref_metadata_2025_split huggingface dataset:
NEMA NU 2–2018 performance evaluation of a new generation 30-cm axial field-of-view Discovery MI PET/CT
Authors: Zeimpekis Konstantinos G. , Kotasidis Fotis A. , Huellner Martin , Nemirovsky Alexandra , Kaufmann Philipp A. , Treyer Valerie 
Published: March 2022

Abstract

Purpose
The DMI PET/CT is a modular silicon photomultiplier–based scanner with an axial field-of-view (FOV) between 15 and 25 cm depending on ring configuration (3, 4, or 5 rings). A new generation of the system includes a reengineered detector module, featuring improved electronics and an additional 6th ring, extending the axial FOV to 30 cm. We report on the performance evaluation of the 6-ring upgraded Generation 2 (Gen2) system while values are also reported for the 5-ring configuration of the very same system prior to the upgrade.

Methods
PET performance was evaluated using the NEMA NU 2–2018 standard for spatial resolution, sensitivity, image quality, count rate performance, timing resolution, and image co-registration accuracy. Patient images were used to assess image quality.

Results
The average system sensitivity was measured at 32.76 cps/kBq (~ 47% increase to 5 rings at 22.29 cps/kBq) while noise equivalent count rate peaked at 434.3 kcps corresponding to 23.6 kBq/mL (~ 60% increase to Generation 1 (Gen1) and 39% to Gen2 5 rings). Contrast recovery ranged between 54.5 and 85.8% similar to 5 rings, while the 6 rings provided lower background variability (2.3–8.5% for 5 rings vs 1.9–6.8% for 6 rings) and lower lung error (4.0% for the 5 rings and 3.16% for the 6 rings). Transverse/axial full width at half-maximum (FWHM) at 1 cm (3.79/4.26 mm) and 10 cm (4.29/4.55 mm), scatter fraction (40.2%), energy resolution (9.63%), and time-of-flight (TOF) resolution (389.6 ps at 0 kBq/mL) were in line to previously reported values measured across different system configurations. Improved patient image quality is obtained with the 6 rings compared to the 5 rings, while image quality is retained even at reduced scan times, enabling WB dynamic acquisitions.

Conclusions
The higher sensitivity of the 6-ring DMI compared to the 5-ring configuration may lead to improved image quality of clinical images at reduced scan time. Additionally, it could equally be used to allow improved temporal sampling and/or reduced overall scan time in dynamic acquisitions. Conversely, temporal sampling and scan time could be traded per application to further drive injected dose at lower levels.
Adherence to the Dutch healthy diet index and change in glycemic control and cardiometabolic markers in people with type 2 diabetes
Authors: Bartels Ehlana Catharina Maria , den Braver Nicolette Roelina , Borgonjen-van den Berg Karin Johanna , Rutters Femke , van der Heijden Amber , Beulens Joline Wilhelma Johanna 
Published: March 2022

Abstract
Purpose
To investigate whether adherence to the Dutch Healthy Diet index 2015 (DHD15-index) is associated with change in glycemic control and cardio-metabolic markers over two-year follow-up in people with type 2 diabetes (T2D).

Methods
This prospective cohort study included 1202 individuals with T2D (mean age 68.7 ± 9.0 years; 62.5% male; mean HbA1c 53.8 ± 11.7 mmol/mol) from the Diabetes Care System cohort. Baseline dietary intake was assessed using a validated food frequency questionnaire, and adherence to the DHD15-index was estimated (range 0–130). HbA1c, fasting glucose, blood lipids (HDL and LDL cholesterol, cholesterol ratio), blood pressure, estimated glomerular filtration rate (eGFR), and BMI were measured at baseline, and after one- and two-year follow-up. Linear mixed model analyses were conducted to examine the associations between adherence to the DHD15-index and glycemic control and the cardio-metabolic outcomes, adjusting for energy intake, sociodemographic and lifestyle characteristics, and medication.

Results
Highest adherence (T3) to the DHD15-index was not associated with change in HbA1c, compared to lowest adherence (T1) [βT3vsT1: 0.62 mmol/mol (− 0.94; 2.19), Ptrend = 0.44]. There was a non-linear association with fasting glucose, where moderate adherence (T2) was associated with a decrease in fasting glucose [βT2vsT1: − 0.29 mmol/L (− 0.55; − 0.03), Ptrend = 0.30]. Higher adherence to the DHD15-index was associated with a decrease in BMI [β10point: − 0.41 kg/m2 (− 0.60; − 0.21), Ptrend < 0.001], but not with blood lipids, blood pressure or kidney function.

Conclusion
In this well-controlled population of people with T2D, adherence to the DHD15-index was associated with a decrease in BMI, but not with change in glycemic control or other cardio-metabolic parameters.
Mortality after benign thyroid surgery in patients aged 80 years or older
Authors: Farhad Salem A. , Anders Bergenfelz , Erik Nordenström , Martin Nilsson , Martin Almquist 
Published: March 2022

Abstract

Introduction
A recent report from the United Nations showed that aged people are increasing worldwide. Few data exist on overall survival for patients 80 years or older undergoing benign thyroid surgery. Short- and long-term survival and risk factors for death in patients undergoing thyroid surgery for benign disease were evaluated, using a nationwide, population-based quality register.

Methods
Patients operated for benign thyroid disease, 2004 to 2017, were collected from the national quality register for thyroid surgery. Mortality data were retrieved from the Swedish National Board of Health and Welfare. Mortality at 30 days, 90 days, and 1 year after surgery, for patients 80 years or older, was calculated. Overall survival was calculated using the Kaplan–Meier estimate. Risk factors for mortality were assessed with Cox’s multiple regression analysis. The standardized mortality ratio was calculated.

Results
There were 17,969 patients. Among them, 483 patients were 80 years or older, and of these, 397 (82.2%) were women. The mortality rate at 0–30 days, 31–90 days, and at 91–365 days after surgery was 0.4%, 0.2%, and 2.5%, respectively. The median (IQR) follow-up time was 4.5 (2.9–7.2) and the median (IQR) survival time was 8.0 (4.1–12.5) years. Apart from age, there was no other risk factor for death. The standardized mortality ratio (SMR) was 0.67 (0.49–0.91) for men and 0.76 (0.65–0.89) for women.

Conclusion
Mortality after surgery for benign thyroid disease in patients 80 years or older was lower than the general population with no specific risk factors for death except for age.
Morphological analysis and stage determination of anther development in Sorghum [Sorghum bicolor (L.) Moench]
Authors: Laza Haydee E. , Kaur-Kapoor Harsimran , Xin Zhuanguo , Payton Paxton R. , Chen Junping 
Published: March 2022

Abstract
Main Conclusion
The characteristics of sorghum anthers at 18 classified developmental stages provide an important reference for future studies on sorghum reproductive biology and abiotic stress tolerance of sorghum pollen.

Abstract
Sorghum (Sorghum bicolor L. Moench) is the fifth-most important cereal crop in the world. It has relatively high resilience to drought and high temperature stresses during vegetative growing stages comparing to other major cereal crops. However, like other cereal crops, the sensitivity of male organ to heat and drought can severely depress sorghum yield due to reduced fertility and pollination efficiency if the stress occurs at the reproductive stage. Identification of the most vulnerable stages and the genes and genetic networks that differentially regulate the abiotic stress responses during anther development are two critical prerequisites for targeted molecular trait selection and for enhanced environmentally resilient sorghum in breeding using a variety of genetic modification strategies. However, in sorghum, anther developmental stages have not been determined. The distinctive cellular characteristics associated with anther development have not been well examined. Lack of such critical information is a major obstacle in the studies of anther and pollen development in sorghum. In this study, we examined the morphological changes of sorghum anthers at cellular level during entire male organ development processes using a modified high-throughput imaging variable pressure scanning electron microscopy and traditional light microscopy methods. We divided sorghum anther development into 18 distinctive stages and provided detailed description of the morphological changes in sorghum anthers for each stage. The findings of this study will serve as an important reference for future studies focusing on sorghum physiology, reproductive biology, genetics, and genomics.
Processing of visual statistics of naturalistic videos in macaque visual areas V1 and V4
Authors: Hatanaka Gaku , Inagaki Mikio , Takeuchi Ryosuke F. , Nishimoto Shinji , Ikezoe Koji , Fujita Ichiro 
Published: March 2022

AbstractNatural scenes are characterized by diverse image statistics, including various parameters of the luminance histogram, outputs of Gabor-like filters, and pairwise correlations between the filter outputs of different positions, orientations, and scales (Portilla–Simoncelli statistics). Some of these statistics capture the response properties of visual neurons. However, it remains unclear to what extent such statistics can explain neural responses to natural scenes and how neurons that are tuned to these statistics are distributed across the cortex. Using two-photon calcium imaging and an encoding-model approach, we addressed these issues in macaque visual areas V1 and V4. For each imaged neuron, we constructed an encoding model to mimic its responses to naturalistic videos. By extracting Portilla–Simoncelli statistics through outputs of both filters and filter correlations, and by computing an optimally weighted sum of these outputs, the model successfully reproduced responses in a subpopulation of neurons. We evaluated the selectivities of these neurons by quantifying the contributions of each statistic to visual responses. Neurons whose responses were mainly determined by Gabor-like filter outputs (low-level statistics) were abundant at most imaging sites in V1. In V4, the relative contribution of higher order statistics, such as cross-scale correlation, was increased. Preferred image statistics varied markedly across V4 sites, and the response similarity of two neurons at individual imaging sites gradually declined with increasing cortical distance. The results indicate that natural scene analysis progresses from V1 to V4, and neurons sharing preferred image statistics are locally clustered in V4.
Comparison of two methods of cardiopulmonary exercise testing for assessing physical fitness in children and adolescents with extreme obesity
Authors: Kalski Linda , Wannack Martin , Wiegand Susanna , Wolfarth Bernd 
Published: March 2022

Abstract
It is well-known that children and adolescents with obesity have increased over recent decades which in turn carries greater risk of co-morbidities and poses a preventive as well as a therapeutic challenge. Currently, there are limited recommendations available on proven methods for recording physical fitness in children and adolescents presenting with extreme obesity. In this study, twenty participants, aged 12–17 years, with a body mass index (BMI) above the 99.5th percentile, were comparatively assessed, using a correlation between their physical fitness on a bicycle (BC) and treadmill (TM) cardiopulmonary exercise testing (CPET) with a lactate diagnostic. The results of the BC and the TM were as follows: maximum heart rate (HRmax) 186.4 ± 8.6 beats per minute (bpm) vs. 190.8 ± 8.8 bpm, peak oxygen consumption (VO2peak/kg) 23.5 ± 2.9 ml/min/kg vs. 25.4 ± 3.1 ml/min/kg, and maximum lactate (Lamax) 6.4 ± 1.6 mmol/l vs. 5.6 ± 1.4 mmol/l. The values of HRmax and VO2peak/kg were significantly higher for adolescents tested on the TM. However, no significant difference was observed in either Lamax values or between the genders. Conclusions: The higher values of HRmax and VO2peak/kg could be attributed to the activation of a higher percentage of muscle mass on the TM. Lower Lamax values on the TM suggest maximum physical exertion was not achieved. This could be due to the extreme body weight carried by the participants. Both the BC and the TM CPET could be used for assessing physical fitness in children and adolescents with extreme obesity but should not be used interchangeably.

What is Known:• Currently, there are only limited recommendations available on proven methods for recording physical fitness in children and adolescents with extreme obesity available.

What is New:• Cardiopulmonary exercise testing with maximum physical exertion has been shown to be feasible in children and adolescents with extreme obesity. The results obtained from this study demonstrated that both a bicycle and a treadmill can be effectively used for assessing the physical fitness levels in children and adolescents with extreme obesity.
Pharmacokinetic-pharmacodynamic relationships of pour-on administered eprinomectin in nematode-infected lactating female and male castrated dairy breed goats
Authors: Gao Xiuqing , Kvaternick Valerie , Rehbein Steffen , Hamel Dietmar 
Published: March 2022

AbstractEprinomectin (EPM), a macrocyclic lactone with low excretion in milk and high efficacy against endoparasites and ectoparasites, is widely used in veterinary medicine. In this paper, EPM pharmacokinetics and anthelmintic efficacy previously established in one study with lactating female goats and three studies with male castrated growing dairy breed goats (all with induced mixed adult gastrointestinal nematode parasitism and treated with a single 1-mg/kg pour-on administration of EPM) were retrospectively evaluated using pharmacokinetic-pharmacodynamic (PK-PD) modeling. The PK-PD analyses between EPM exposure (Cmax and AUClast) and anthelmintic response (percent efficacy) were performed for lactating female goats only and pooled lactating female and male castrated goats. The Cmax and AUClast showed no significant difference between lactating female goats and combined male castrated goats. PK-PD modeling demonstrated Trichostrongylus colubriformis, a small-intestine nematode, as a suitable indicator of the EPM nematocidal efficacy. The EC90 values obtained by modeling Cmax vs T. colubriformis were 3.50 and 2.43 ng/mL for lactating female goats only and pooled lactating female and male castrated goats, respectively. The values of AUClast needed for 90% efficacy of T. colubriformis were 25.4 and 21.1 day*ng/mL for lactating female goats only and pooled lactating female and male castrated goats, respectively. Overall, the predicted pharmacological response against T. colubriformis is similar for lactating goats only and pooled lactating female and male castrated goats and correlates with observed efficacy. In conclusion, a dosage of 1-mg/kg EPM as a pour-on is sufficient to ensure efficacy against common nematodes in both lactating female and male castrated goats.
Organs-on-chip technology: a tool to tackle genetic kidney diseases
Authors: G. Valverde Marta , Faria João , Sendino Garví Elena , Janssen Manoe J. , Masereeuw Rosalinde , Mihăilă Silvia M. 
Published: March 2022

Abstract
Chronic kidney disease (CKD) is a major healthcare burden that takes a toll on the quality of life of many patients. Emerging evidence indicates that a substantial proportion of these patients carry a genetic defect that contributes to their disease. Any effort to reduce the percentage of patients with a diagnosis of nephropathy heading towards kidney replacement therapies should therefore be encouraged. Besides early genetic screenings and registries, in vitro systems that mimic the complexity and pathophysiological aspects of the disease could advance the screening for targeted and personalized therapies. In this regard, the use of patient-derived cell lines, as well as the generation of disease-specific cell lines via gene editing and stem cell technologies, have significantly improved our understanding of the molecular mechanisms underlying inherited kidney diseases. Furthermore, organs-on-chip technology holds great potential as it can emulate tissue and organ functions that are not found in other, more simple, in vitro models. The personalized nature of the chips, together with physiologically relevant read-outs, provide new opportunities for patient-specific assessment, as well as personalized strategies for treatment. In this review, we summarize the major kidney-on-chip (KOC) configurations and present the most recent studies on the in vitro representation of genetic kidney diseases using KOC-driven strategies.
Nachhaltiger Bergbau 2050
Authors: Tost Michael , Streit Stefanie , Endl Andreas , Gugerell Katharina 
Published: March 2022

ZusammenfassungNachhaltigkeit und nachhaltige Entwicklung sind komplexe Themen. Die Gewinnung mineralischer Rohstoffe nimmt dabei aufgrund des ökonomischen Potentials und der Umwelt- und Sozialauswirkungen eine wesentliche Rolle ein. Daher wäre ein einheitlicher Rahmen zur Beschreibung einer verantwortungsvollen bzw. nachhaltigen Rohstoffgewinnung in Europa von Vorteil. Teil des Horizon 2020 Projektes SUMEX ist die Schaffung solch eines Rahmens. Das Projekt untersucht die Transformation des europäischen Rohstoffsektors von der Einhaltung bestehender Gesetze und einem verantwortungsvollen Umgang hin zu nachhaltigem Management. Mittels Recherche existierender Definitionen und Strategien zur Nachhaltigkeit im Kontext der Gewinnung mineralischer Rohstoffe, sowie Interviews mit verschiedenen Stakeholdern, wurde der SUMEX Nachhaltigkeitsansatz entwickelt. Dieser wurde speziell auf die europäische Rohstoffgewinnung zugeschnitten und soll dabei helfen, die erforderliche Transformation zu einem nachhaltigen Sektor bis zum Jahr 2050 zu verwirklichen. Der SUMEX Nachhaltigkeitsansatz beschreibt Aspekte eines nachhaltigen Managements in der europäischen Rohstoffindustrie durch verschiedene Themen und Ziele.
Efficient palmprint biometric identification systems using deep learning and feature selection methods
Authors: Trabelsi Selma , Samai Djamel , Dornaika Fadi , Benlamoudi Azeddine , Bensid Khaled , Taleb-Ahmed Abdelmalik 
Published: March 2022

AbstractOver the past two decades, several studies have paid great attention to biometric palmprint recognition. Recently, most methods in literature adopted deep learning due to their high recognition accuracy and the capability to adapt with different acquisition palmprint images. However, high-dimensional data with a large number of uncorrelated and redundant features remain a challenge due to computational complexity issues. Feature selection is a process of selecting a subset of relevant features, which aims to decrease the dimensionality, reduce the running time, and improve the accuracy. In this paper, we propose efficient unimodal and multimodal biometric systems based on deep learning and feature selection. Our approach called simplified PalmNet–Gabor concentrates on the improvement of the PalmNet for fast recognition of multispectral and contactless palmprint images. Therefore, we used Log-Gabor filters in the preprocessing to increase the contrast of palmprint features. Then, we reduced the number of features using feature selection and dimensionality reduction procedures. For the multimodal system, we fused modalities at the matching score level to improve system performance. The proposed method effectively improves the accuracy of the PalmNet and reduces the number of features as well the computational time. We validated the proposed method on four public palmprint databases, two multispectral databases, CASIA and PolyU, and two contactless databases, Tongji and PolyU 2D/3D. Experiments show that our approach achieves a high recognition rate while using a substantially lower number of features.
Precision dentistry—what it is, where it fails (yet), and how to get there
Authors: Schwendicke Falk , Krois Joachim 
Published: March 2022

Abstract

Objectives
Dentistry is stuck between the one-size-fits-all approach towards diagnostics and therapy employed for a century and the era of stratified medicine. The present review presents the concept of precision dentistry, i.e., the next step beyond stratification into risk groups, and lays out where we stand, but also what challenges we have ahead for precision dentistry to come true.

Material and methods
Narrative literature review.

Results
Current approaches for enabling more precise diagnostics and therapies focus on stratification of individuals using clinical or social risk factors or indicators. Most research in dentistry does not focus on predictions — the key for precision dentistry — but on associations. We critically discuss why both approaches (focus on a limited number of risk factors or indicators and on associations) are insufficient and elaborate on what we think may allow to overcome the status quo.

Conclusions
Leveraging more diverse and broad data stemming from routine or unusual sources via advanced data analytics and testing the resulting prediction models rigorously may allow further steps towards more precise oral and dental care.

Clinical significance
Precision dentistry refers to tailoring diagnostics and therapy to an individual; it builds on modelling, prediction making and rigorous testing. Most studies in the dental domain focus on showing associations, and do not attempt to make any predictions. Moreover, the datasets used are narrow and usually collected purposively following a clinical reasoning. Opening routine data silos and involving uncommon data sources to harvest broad data and leverage them using advanced analytics could facilitate precision dentistry.
A survey on extraction of causal relations from natural language text
Authors: Yang Jie , Han Soyeon Caren , Poon Josiah 
Published: March 2022

AbstractAs an essential component of human cognition, cause–effect relations appear frequently in text, and curating cause–effect relations from text helps in building causal networks for predictive tasks. Existing causality extraction techniques include knowledge-based, statistical machine learning (ML)-based, and deep learning-based approaches. Each method has its advantages and weaknesses. For example, knowledge-based methods are understandable but require extensive manual domain knowledge and have poor cross-domain applicability. Statistical machine learning methods are more automated because of natural language processing (NLP) toolkits. However, feature engineering is labor-intensive, and toolkits may lead to error propagation. In the past few years, deep learning techniques attract substantial attention from NLP researchers because of its powerful representation learning ability and the rapid increase in computational resources. Their limitations include high computational costs and a lack of adequate annotated training data. In this paper, we conduct a comprehensive survey of causality extraction. We initially introduce primary forms existing in the causality extraction: explicit intra-sentential causality, implicit causality, and inter-sentential causality. Next, we list benchmark datasets and modeling assessment methods for causal relation extraction. Then, we present a structured overview of the three techniques with their representative systems. Lastly, we highlight existing open challenges with their potential directions.