bluuebunny/crossref_metadata_2025_split huggingface dataset:
About the influence of environmental factors on the persistence of DNA — a long-term study
Authors: Poetsch Micaela , Markwerth Philipp , Konrad Helen , Bajanowski Thomas , Helmus Janine 
Published: February 2022

AbstractDNA persistence and DNA transfer are important features in the assessment of a crime scene. The question how long DNA may persist at a certain location is similarly important as the one how the DNA has been transferred to this location. Depending on the source of the DNA as well as the conditions at the crime scene, the answer to this question is quite difficult. In this study, persistence of DNA from epithelial abrasions, blood cells, and saliva cells in indoor and outdoor scenarios has been investigated with regard to exposure time and exposure conditions including sunlight, temperature, and humidity in summer and winter scenarios. Overall, we generated 338 epithelial samples, 572 blood samples, and 572 saliva samples. A complete profile of the cell/DNA donor after exposure could be obtained in 47%, 65%, and 58% of epithelial abrasions, blood samples, and saliva samples, respectively. Regarding blood samples, there were no differences between supporting materials cloth and plastic; however, the percentage of complete profiles was higher for saliva samples on plastic and for epithelial samples on cloth. In indoor scenarios, complete profiles could be recovered from nearly all blood and saliva samples up to 9 months, whereas the amount of epithelial complete profiles already started to decline after 3 months. In outdoor scenarios, we observed a tipping point at an exposure time of 3 months. Blood and saliva samples collected after this period displayed complete profiles in less than 25% of samples. After 12 months, no outdoor sample showed a complete profile. The results of this study facilitate decisions on the relevance of recovered DNA from crime scenes.
The ratio of serum C-reactive protein level on postoperative day 3 to day 2 is a good marker to predict postoperative complications after laparoscopic radical gastrectomy for gastric cancer
Authors: Luo Bin , Liao Qianchao , Zheng Jiabin , Hu Weixian , Yao Xueqing , Li Yong , Wang Junjiang 
Published: February 2022

Abstract
Purpose
Study reported that C-reactive protein (CRP) would peak at 48 h after the initiation of an acute inflammatory response. We proposed that the ratio of CRP level on postoperative day 3 to day 2 (POD3/2 CRP) can be used to early predict major postoperative complications (PCs) for patients who underwent laparoscopic radical gastrectomy.

Methods
Patients were randomized into training cohort and validation cohort at a ratio of 7:3. PCs greater than grade II or more, according to Clavien-Dindo classification, were defined as major PCs. Three predictive models for major PCs based on CRP level were constructed, including POD3/2 CRP, the CRP level on POD3 (POD3 CRP), and the ratio of CRP level on POD3 to POD1 (POD3/1 CRP). The performances of three prediction models were assessed by AUC. Univariate and multivariate logistic regression analyses were performed to identify risk factors of major PCs.

Results
344 patients were included. Major PCs were observed in 57 patients (16.6%). In the training cohort, POD3/2 CRP provided the best diagnostic accuracy with an AUC of 0.929 at an optimal cut-off value of 1.08, and the sensitivity and specificity were 0.902 and 0.880, respectively. In the validation cohort, the corresponding AUC was 0.917. BMI ≥ 25 kg/m2 and POD3/2 CRP > 1 were identified as risk factors for major PCs.

Conclusion
POD3/2 CRP is a reliable marker to predict major PCs after laparoscopic radical gastrectomy. If CRP is higher on POD3 than on POD2, major PCs are highly likely.
Transformational supervisor synthesis for evolving systems
Authors: Thuijsman Sander , Reniers Michel 
Published: February 2022

AbstractSupervisory controller synthesis is a means to compute correct-by-construction controllers for discrete event systems. As these systems and their requirements evolve over time, an updated supervisor needs to be computed each time an adaptation takes place. We consider the case that a supervisor has been synthesized for a given model, after which this model is (slightly) adapted. We investigate how we can make use of the previous synthesis result, in order to more efficiently compute the supervisor for the adapted model. We introduce model deltas as a means to describe the difference between pairs of models. Using the model deltas, a notion of atomic adaptations is introduced. For these atomic adaptations, algorithms are provided to compute the supervisor for the adapted model in a transformational manner from the previous synthesis result, rather than performing a completely new synthesis. These atomic adaptations can be iterated over, to transformationally compute a supervisor for model deltas that contain a number of atomic adaptations. To improve efficiency, it is shown how atomic adaptations can be grouped together based on their required computations and be processed at the same time. A running example is used to support the explanations on the functioning of the algorithms. The efficiency of the method is evaluated by means of both an academic and an industrial use case.
Digitalisation in the Curricula of Vocational Schools: Text Mining as an Instrument of Curricula Analysis
Authors: Delcker Jan 
Published: February 2022

AbstractThe influence of digitalisation on society and the workplace require stakeholders in school development to incorporate digital competencies into school curricula. This study examines the occurrence of digital components in 831 curricula of the vocational schools in Baden-Württemberg, Germany with a text mining approach and the analysis of keywords in context. In total, 200 curricula containing digital features could be identified. The occurrence of digital terms differs notably between the different types of vocational school. The distinct characteristics of digital competencies are represented to a varying degree within the curricula, with a strong focus on the usage of tools for profession-specific tasks and the deployment of the internet as a gateway to information. Ongoing reforms of school curricula need to widen their view on digital competencies and integrate these competencies more broadly into the different types of vocational schools.
Global dynamic optimization with Hammerstein–Wiener models embedded
Authors: Kappatou Chrysoula D. , Bongartz Dominik , Najman Jaromił , Sass Susanne , Mitsos Alexander 
Published: February 2022

AbstractHammerstein–Wiener models constitute a significant class of block-structured dynamic models, as they approximate process nonlinearities on the basis of input–output data without requiring identification of a full nonlinear process model. Optimization problems with Hammerstein–Wiener models embedded are nonconvex, and thus local optimization methods may obtain suboptimal solutions. In this work, we develop a deterministic global optimization strategy that exploits the specific structure of Hammerstein–Wiener models to extend existing theory on global optimization of systems with linear dynamics. At first, we discuss alternative formulations of the dynamic optimization problem with Hammerstein–Wiener models embedded, demonstrating that careful selection of the optimization variables of the problem can offer significant numerical advantages to the solution approach. Then, we develop convex relaxations for the proposed optimization problem and discuss implementation aspects to obtain the global solution focusing on a control parametrization technique. Finally, we apply our optimization strategy to case studies comprising both offline and online dynamic optimization problems. The results confirm an improved computational performance of the proposed solution approach over alternative options not exploiting the linear dynamics for all considered examples. They also underline the tractability of deterministic global dynamic optimization when using few control intervals in online applications like nonlinear model predictive control.
Differentiating Optimists from Pessimists in the Prediction of Emotional Intelligence, Happiness, and Life Satisfaction: A Latent Profile Analysis
Authors: Blasco-Belled Ana , Rogoza Radosław , Torrelles-Nadal Cristina , Alsinet Carles 
Published: February 2022

AbstractWhat are the differences between optimists and pessimists? The aim of this study is to analyze the differences reported by optimists and pessimists in terms of three psychological variables: emotional intelligence (EI), happiness, and life satisfaction. To answer this question, we examined the extent to which a combination of different levels of optimism and pessimism can differently predict EI, happiness, and life satisfaction in two independent samples (891 adults, 494 adolescents). To do that, we introduced a person-centered approach, which offers several advantages in the study of optimism over the extended, predominant variable-centered approach. Then, using a latent profile analysis, we identified three groups of individuals with a similar optimism–pessimism configuration: optimists, ambivalents, and pessimists. The results obtained supported our hypothesis that optimists report higher EI, happiness, and life satisfaction levels than those reported by pessimists. Low levels of optimism, rather than high levels of pessimism, distinguish optimistic from non-optimistic people in the prediction of external outcomes. Our results suggest that optimism and pessimism can be viewed as separate yet correlated traits that can be grouped together to explain individual affective and cognitive differences, which encourage the refinement of strategies and interventions used in psychology practice.
Sub-femtojoule optical modulation based on hybrid plasmonic devices
Authors: Sherif S. M. , Swillam M. A. 
Published: February 2022

AbstractOptical modulation is an essential process in the telecommunication technology. A sub-femtojoule optical modulation based on low loss hybrid plasmonic waveguide which integrates silicon, metal, and electro-optic material is demonstrated. Modulation is achieved through applying modulating voltage across the electro-optic layers. Firstly, a directional coupler modulator is designed and simulated, it showed a modulation depth of 26 dB, and energy consumption of 0.8 fJ/bit. Secondly, a Mach Zender interferometer circuit based modulator is designed and analyzed, with a modulation depth of 32 dB, and energy consumption of 0.8 fJ/bit.
Milk proteins as mastitis markers in dairy ruminants - a systematic review
Authors: Giagu Anna , Penati Martina , Traini Sara , Dore Simone , Addis Maria Filippa 
Published: February 2022

AbstractMastitis is one of the most impacting diseases in dairy farming, and its sensitive and specific detection is therefore of the greatest importance. The clinical evaluation of udder and mammary secretions is typically combined with the milk Somatic Cell Count (SCC) and often accompanied by its bacteriological culture to identify the causative microorganism. In a constant search for improvement, several non-enzymatic milk proteins, including milk amyloid A (M-SAA), haptoglobin (HP), cathelicidin (CATH), and lactoferrin (LF), have been investigated as alternative biomarkers of mastitis for their relationship with mammary gland inflammation, and immunoassay techniques have been developed for detection with varying degrees of success. To provide a general overview of their implementation in the different dairy species, we carried out a systematic review of the scientific literature using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines. Our review question falls within the type “Diagnostic test accuracy questions” and aims at answering the diagnostic question: “Which are the diagnostic performances of mastitis protein biomarkers investigated by immunoassays in ruminant milk?”. Based on 13 keywords combined into 42 searches, 523 manuscripts were extracted from three scientific databases. Of these, 33 passed the duplicate removal, title, abstract, and full-text screening for conformity to the review question and document type: 78.8% investigated cows, 12.1% sheep, 9.1% goats, and 6.1% buffaloes (some included more than one dairy species). The most frequently mentioned protein was M-SAA (48.5%), followed by HP (27.3%), CATH (24.2%) and LF (21.2%). However, the large amount of heterogeneity among studies in terms of animal selection criteria (45.5%), index test (87.9%), and standard reference test (27.3%) resulted in a collection of data not amenable to meta-analysis, a common finding illustrating how important it is for case definitions and other criteria to be standardized between studies. Therefore, results are presented according to the SWiM (Synthesis Without Meta-analysis) guidelines. We summarize the main findings reported in the 33 selected articles for the different markers and report their results in form of comparative tables including sample selection criteria, marker values, and diagnostic performances, where available. Finally, we report the study limitations and bias assessment findings.
Decarbonization: examining the role of environmental innovation versus renewable energy use
Authors: Sahoo Bhagaban , Behera Deepak Kumar , Rahut Dil 
Published: February 2022

Abstract
Climate change resulting from a rapid increase in greenhouse gas (GHG) emissions is adversely affecting humanity. If the GHG emission continues to rise at the current pace, humanity will face severe consequences and reverse all the progress made. This paper, therefore, uses relevant data from 14 developing countries in Asia from 1990 to 2018 to examine the potential impact of environmental innovation on CO2 emissions by controlling globalization, urbanization, and economic growth. The number of environmental-related technology patents is used as a measure of environmental innovation. We employed a panel long-run regression model — FMOLS, PCSE, and FGLS to estimate the elasticity of CO2 emissions. For causal association among variables, we used Dumitrescu-Hurlin Granger causality tests. Our results show that renewable energy consumption and globalization have a significant impact in reducing CO2 emissions, while environmental technology innovations play a meager role in reducing emissions and only when economic growth support those type of investment. Furthermore, we found urbanization, oil consumption, and economic growth is detrimental to the environment, which is also evident in past studies. Therefore, countries should invest in renewable energy and environmental innovation aligned with the growth to reduce GHG emissions.
Prospects of organic acids as safe alternative to antibiotics in broiler chickens diet
Authors: Khan Rifat Ullah , Naz Shabana , Raziq Fazal , Qudratullah Qudratullah , Khan Nazir Ahmad , Laudadio Vito , Tufarelli Vincenzo , Ragni Marco 
Published: February 2022

AbstractGenetically, modern broilers are fast-growing birds which attain the market age at the age of 5 weeks. To maintain optimum production, antibiotics have been commonly included in the diets as growth promoters. However, due to the increase in antimicrobial resistance, their uses have been banned worldwide. To keep the optimum level of production and health in broiler industry, the use of alternative growth promoters such as probiotics, prebiotics, enzymes, and organic acids has been proposed. Chemically, organic acids are weak acids and only partially dissociate. They are considered safe and have been used for preservation of food for centuries. Nowadays, organic acids have been reported for antibacterial, immune potentiating, and growth promoters in broilers. In this review, the effects of dietary inclusion of organic acids on growth, nutrient digestibility, intestinal integrity, immune system, and antibacterial activity in broilers are discussed.
Titanium Electrical Resistivity in Hydrogen and Deuterium
Authors: Pozio A. , Aurora A. , Della Seta L. , Santucci A. , Tosti S. 
Published: February 2022

AbstractElectrical resistivity of pure titanium has been measured using the electrochemical impedance spectroscopy technique under an atmosphere of hydrogen and deuterium at 100 kPa. In both hydrogen and deuterium, the electrical resistivity presents a linear trend with the temperature by exhibiting a different magnitude between the two isotopes. The obtained results are discussed by taking into account the amount of hydrogen and deuterium uploaded into the metal. XRD analysis and TG-DTA measurements have been conducted in the range 25-450 °C: the different behavior of titanium with the two gases has been explained by the different isotopes interactions with the sample surface where titanium oxides are supposed to be present. An evident metal embrittlement has been observed only in the presence of hydrogen.
A Scoping Review of Stress Measurements and Psychometry in Police Research
Authors: Rabbing Lillis , Bjørkelo Brita , Fostervold Knut Inge , Strømme Hilde , Lau Bjørn 
Published: February 2022

AbstractDespite a growing body of research, there is no systematic body of evidence that establishes the rigour of existing measures of stress among police. The aim of this scoping review was to investigate (1) the diversity of stress measures used in police research and (2) the psychometric properties of such measures and the ways in which they are utilised. The systematic literature search discovered 16,216 records, which were reduced to 442 records of relevance. A total of 20 qualitative and 422 quantitative studies were found to be relevant, including a total of 129 unique measures, of which the majority showed satisfactory reliability (Cronbach’s alpha ≥ 0.80). The identified measures pertain to four main categories: police-specific, perceived stress, psychological and physiological outcomes (including mood and affect changes), and assessment batteries. The measures have a general tendency to emphasise illness, and police-specific stressors pertain mostly to traditional police work. Measures should be chosen based on the aspect of the stress phenomenon that is to be investigated. This study provides detailed recommendations concerning how to use these measures to advance research concerning stress among police.
Design of a mindfulness-based intervention to support teachers’ emotional regulation behaviors
Authors: Kennedy Douglas P. , Haley Alex , Evans Roni 
Published: February 2022

AbstractAddressing teachers’ ability to better navigate stress and emotional responses has the potential to improve classroom behaviors, student learning as well as teachers’ wellbeing. While there is growing interest in mindfulness-based interventions (MBIs), there is need for greater attention to design aligned with relevant theories and transparent reporting to improve the rigor and translation of research. While utilized widely in health and behavior fields, behavior change theory has not been applied extensively in education or MBI research. This descriptive methodological paper articulates the intervention mapping and design process of an MBI to improve teachers’ stress and emotional regulation. To improve reporting, we use a post hoc application of a well-established behavioral model. Application of the Behavior Change Wheel (BCW) as part of an intervention mapping approach for an MBI to align teacher’s needs with intervention elements most likely to achieve desired behavioral outcomes. The paper illustrates an approach which includes defining the problem in behavioral terms, identification of target behaviors and behavioral change techniques, and selection of strategies and modes of intervention delivery. A systematic intervention mapping approach applying the BCW can yield a holistic MBI for the desired behavior change, enhanced emotion and stress regulation in teachers. This example of applying the BCW to the design of an MBI demonstrates how intervention designers and researchers can make decisions about which techniques and delivery components to include in their interventions, and how to systematically describe them. Such approaches have the potential to improve the reporting and methodological rigor of future MBI research and the successful application of interventions in practice.
Return to Play After Distal Biceps Tendon Repair
Authors: Carrazana-Suarez Luis F , Cooke Sean , Schmidt Christopher C. 
Published: February 2022

AbstractPurpose of ReviewDistal biceps tendon ruptures (DBTR) are uncommon injuries in 40- to 50-year-old men but occur at a younger age in the athlete population. The distal biceps tendon is an important supinator of the forearm and flexor of the elbow. A complete injury results in limiting function in the upper extremity. The current review evaluates the different options in management and the current literature on return to play in athletes.Recent FindingsThe distal biceps tendon inserts on the posterior aspect of the radial tuberosity as two independent heads. The long head footprint is more proximal and posterior giving it a better lever arm for supination. The short head footprint is more distal and anterior giving it a better lever arm for flexion. Surgical anatomic repair is highly recommended among the athlete population, to restore proper function of the upper extremity. There is scarce literature on return to play among athletes. The most recent studies on high-performance athletes are on National Football League (NFL) players. These studies showed that 84–94% of NFL players returned to play at least one game after distal biceps repair. Compared to matched control groups, there was no difference in the player’s performance after surgery.SummaryAnatomic repair of DBTR results in excellent outcomes, high return to work, and high rate of return to play among athletes. When compared to matched control groups, NFL players have the performance score and play the same number of games after surgery.
Development of a 95 SNP panel to individually genotype mountain lions (Puma concolor) for microfluidic and other genotyping platforms
Authors: Buchalski Michael R. , Sacks Benjamin N. , Ahrens Kristen D. , Gustafson Kyle D. , Rudd Jaime L. , Ernest Holly B. , Dellinger Justin A. 
Published: February 2022

AbstractThe mountain lion (Puma concolor) is one of the few remaining large predators in California, USA with density estimation from fecal genotypes becoming an essential component of conservation and management. In highly urbanized southern California, mountain lions are fragmented into small, inbred populations making proper marker selection critical for individual identification. We developed a panel of single nucleotide polymorphism (SNP) markers that can be used for consistent, routine mountain lion monitoring by different laboratories. We used a subset of existing Illumina HiSeq data for 104 individuals from throughout California to design a single, highly heterozygous multiplex of 95 SNPs for the Fluidigm platform. This panel confidently differentiates individual mountain lions, identifies sex, and discriminates mountain lions from bobcats. The panel performed well on fecal DNA extracts and based on design, had sufficient resolution to differentiate individual genotypes in even the population with lowest genetic diversity in southern California.