bluuebunny/crossref_metadata_2025_split huggingface dataset:
Superlinear solutions of sublinear fractional differential equations and regular variation
Authors: Řehák Pavel 
Published: April 2023

AbstractWe consider a sublinear fractional equation of the order in the interval (1, 2). We give conditions guaranteeing that this equation possesses asymptotically superlinear solutions. We show that all of these solutions are regularly varying and establish precise asymptotic formulae for them. Further we prove non-improvability of the conditions. In addition to the asymptotically superlinear solutions we discuss also other classes of solutions, some of them having no ODE analogy. In the very special case, when the coefficient is asymptotically equivalent to a power function and the order of the equation is 2, we get known results in their full generality. We reveal substantial differences between the integer order and non-integer order case. Among other tools, we utilize the fractional Karamata integration theorem and the fractional generalized L’Hospital rule which are proved in the paper. Several examples illustrating our results but serving also in alternative proofs are given too. We provide also numerical simulations.
Robotic radioguided surgery: toward full integration of radio- and hybrid-detection modalities
Authors: van Oosterom Matthias N. , Azargoshasb Samaneh , Slof Leon J. , van Leeuwen Fijs W. B. 
Published: April 2023

Abstract
Purpose
Increasingly more laparoscopic surgical procedures are performed with robotic platforms, even becoming the standard for some indications. While providing the surgeon with great surgical dexterity, these systems do not improve surgical decision making. With unique detection capabilities and a plurality of tracers available, radioguidance could fulfill a crucial part in this pursuit of precision surgery. There are, however, specific restrictions, limitations, but also great potentials, requiring a redesign of traditional modalities.

Methods
This narrative review provides an overview of the challenges encountered during robotic laparoscopic surgery and the engineering steps that have been taken toward full integration of radioguidance and hybrid guidance modalities (i.e., combined radio and fluorescence detection).

Results
First steps have been made toward full integration. Current developments with tethered DROP-IN probes successfully bring radioguidance to the robotic platform as evaluated in sentinel node surgery (i.e., urology and gynecology) as well as tumor-targeted surgery (i.e., PSMA primary and salvage surgery). Although technically challenging, preclinical steps are made toward even further miniaturization and integration, optimizing the surgical logistics and improving surgical abilities. Mixed-reality visualizations show great potential to fully incorporate feedback of the image-guided surgery modalities within the surgical robotic console as well.

Conclusion
Robotic radioguidance procedures provide specific challenges, but at the same time create a significant growth potential for both image-guided surgery and interventional nuclear medicine.
Is There a Relationship Between Mating and Pathogenesis in Two Human Fungal Pathogens, Candida albicans and Candida glabrata?
Authors: Bedekovic Tina , Usher Jane 
Published: April 2023

Abstract
Purpose of Review
Human fungal pathogens are rapidly increasing in incidence and readily able to evade the host immune responses. Our ability to study the genetic behind this has been limited due to the apparent lack of a sexual cycle and forward genetic tools. In this review, we discuss the evolution of mating, meiosis, and pathogenesis and if these processes are advantageous to pathogens.

Recent Findings
This review summarises what is currently known about the sexual cycles of two important human fungal pathogens, Candida albicans and Candida glabrata. This includes the identification of parasexual cycle in C. albicans and the observed low levels of recombination in C. glabrata populations.

Summary
In this review, we present what is currently known about the mating types and mating/sexual cycles of two clinically important human fungal pathogens, Candida albicans and Candida glabrata. We discuss the evolution of meiosis using the knowledge that has been amassed from the decades of studying Saccharomyces cerevisiae and how this can be applied to fungal pathogens. We further discuss how the evolution of pathogenesis has played a role in influencing mating processes in human fungal pathogens and compare sexual cycles between C. albicans and C. glabrata, highlighting knowledge gaps and suggesting how these two fungi have evolved distinct mating niches to allow the development of disease in a human host.
UMP-MG: A Uni-directed Message-Passing Multi-label Generation Model for Hierarchical Text Classification
Authors: Ning Bo , Zhao Deji , Zhang Xinjian , Wang Chao , Song Shuangyong 
Published: April 2023

AbstractHierarchical Text Classification (HTC) is a formidable task which involves classifying textual descriptions into a taxonomic hierarchy. Existing methods, however, have difficulty in adequately modeling the hierarchical label structures, because they tend to focus on employing graph embedding methods to encode the hierarchical structure while disregarding the fact that the HTC labels are rooted in a tree structure. This is significant because, unlike a graph, the tree structure inherently has a directive that ordains information flow from one node to another—a critical factor when applying graph embedding to the HTC task. But in the graph structure, message-passing is undirected, which will lead to the imbalance of message transmission between nodes when applied to HTC. To this end, we propose a unidirectional message-passing multi-label generation model for HTC, referred to as UMP-MG. Instead of viewing HTC as a classification problem as previous methods have done, this novel approach conceptualizes it as a sequence generation task, introducing prior hierarchical information during the decoding process. This further enables the blocking of information flow in one direction to ensure that the graph embedding method is better suited for the HTC task and thus resulted in the enhanced tree structure representation. Results obtained through experimentation on both the public WOS dataset and an E-commerce user intent classification dataset demonstrate that our proposed model can achieve superlative results.
Can Three-Dimensional Multiple Object Tracking Training Be Used to Improve Simulated Driving Performance? A Pilot Study in Young and Older Adults
Authors: Michaels Jesse , Chaumillon Romain , Mejia-Romero Sergio , Bernardin Delphine , Faubert Jocelyn 
Published: April 2023

AbstractDriving ability has been shown to be dependent on perceptual-cognitive abilities such as visual attention and speed of processing. There is mixed evidence suggesting that training these abilities may improve aspects of driving performance. This preliminary study investigated the feasibility of training three-dimensional multiple object tracking (3D-MOT)—a dynamic, speeded tracking task soliciting selective, sustained and divided attention as well as speed of processing—to improve measures of simulated driving performance in older and younger adults. A sample of 20 young adults (23–33 years old) and 14 older adults (65–76 years old) were randomly assigned to either a 3D-MOT training group or an active control group trained on a perceptual discrimination task as well as 2048. Participants were tested on a driving scenario with skill-testing events previously identified as optimal for cross-sectional comparisons of driving ability. Results replicated previously identified differences in driving behaviour between age groups. A possible trend was observed for the 3D-MOT trained group, especially younger adults, to increase the distance at which they applied their maximum amount of braking in response to dangerous events. This measure was associated with less extreme braking during events, implying that these drivers may have been making more controlled stops. Limitations of sample size and task realism notwithstanding, the present experiment offers preliminary evidence that 3D-MOT training might transfer to driving performance through quicker detection of or reaction to dangerous events and provides a rationale for replication with a larger sample size.
RETRACTED ARTICLE: Evaluation of problems and countermeasures in marketing teaching based on cloud computing data aggregation algorithm
Authors: Shen Weinan 
Published: April 2023

AbstractIn this study, we present a highly practical marketing course. Through learning marketing, we can cultivate students’ ability to analyze, solve and practice problems. Therefore, this paper would study the problems encountered in the marketing course through cloud computing technology and propose corresponding countermeasures, so as to better improve students’ ability to analyze and solve problems and enhance the effectiveness of the classroom. This paper also analyzed the data aggregation algorithm based on Particle Swarm Optimization (PSO) algorithm. The results showed that when other conditions were the same, only 6 students approve of the traditional marketing teaching mode, accounting for 12%; there were 44 people who did not approve, accounting for 88%. This number was more than half; 49 students recognized the optimized marketing teaching mode, accounting for 98%; there was 1 person who did not approve, accounting for 2%. The proportion of people who did not approve after optimization was far less than that of the traditional model, which showed that cloud computing data aggregation algorithm could find out the problems in marketing teaching and provide correct countermeasures to solve them, so that the teaching model could be optimized. (1) The data aggregation algorithm based on cloud computing has a good optimization effect on the evaluation of marketing teaching problems and countermeasures, indicating a new direction for future research. (2) The combination of cloud computing and data aggregation algorithm is not only a novel research perspective, but also a perfect idea. (3) Marketing course is a very important course in today’s society. The study of its teaching problems and countermeasures evaluation will help students improve their learning efficiency and enhance their ability to adapt to the society.
Sharpening of graded diamond grinding wheels
Authors: Denkena Berend , Bergmann Benjamin , Raffalt Daniel 
Published: April 2023

AbstractGrinding the flutes of cemented carbide end mill cutters results in high and uneven radial wear of the grinding wheel. This is a consequence of the varying geometrical contact conditions over the grinding wheel width. Decreased manufacturing accuracy regarding the tool target geometry is the consequence. To compensate for this, the dressing intervals must be shortened. High non-productive times and an additionally reduction of the grinding layer results from this. The higher non-productive times reduce the productivity of the grinding process and, in conjunction with the shorter lifetime of the grinding tool, thus increase the costs per work piece. It has already been shown that load-adapted grinding wheels can reduce uneven radial wear up to 50%. The adaptation of the wear behaviour to non-uniform engagement conditions causes non-uniform radial wear to occur again under uniform engagement conditions. Uniform engagement conditions occur during grinding wheel sharpening. Therefore, the present study investigates the influence of sharpening on the grinding tool topography. For this purpose, sharpening tests are carried out on four differently graded grinding wheels. For comparability, the tests are also carried out on two non-graded grinding wheels. In the present work, the surface parameters are evaluated with regard to their suitability for analysing the sharpening condition of graded grinding wheels. The grain protrusion derived from this is subsequently used for evaluation. For this, a dependency on the grain concentration is proven and the grain protrusions are shown over the grinding wheel widths. From this, sharpening parameters are determined that enable reproducible sharpening of graded grinding wheels.
Effects of Microbial Inoculants and Organic Amendments on Wheat Nutrition and Development in a Variety of Soils
Authors: Moreno-Lora Aurora , Velasco-Sánchez Ángel , Delgado Antonio 
Published: April 2023

AbstractManipulation of soil microbial communities through inoculants or amendments can improve crop nutrition. However, to what extent these benefits vary depending on soil properties is not yet understood. Thus, here we studied the effects of microbial inoculants and the application of labile organic C on the yield and uptake of micronutrients and P in wheat (Triticum durum) in different soils. The application of Bacillus subtilis QST713, Trichoderma asperellum strain T34, and cellulose was tested in ten soils varying greatly in properties in a pot experiment. Microbial inoculants and cellulose increased dry matter (between 5 and 10%) and grain yield (between 15 and 20%), regardless of the soil. Some treatments triggered nutrient mobilization mechanisms such as phosphatase and oxalate production. However, total Zn and P in plants did not increase with treatments, and their effect on Fe and Mn varied depending on soils. The effect of B. subtilis and T. asperellum improving Fe uptake by plants decreased with increasing pH and also with decreased microbial activity in soil. Inoculants and cellulose increased the Zn harvest index and decreased the P-to-Zn ratio in grains independently of the soil. This was probably ascribable to changes in the distribution of phytohormones in plants. Microorganisms and cellulose improved wheat yield, the portion of absorbed Zn accumulated in grains, and grain quality. These effects did not depend on the soil. However, the effect on Fe and Mn nutrition was affected by soil pH and microbial activity.
The development of active optical clock
Authors: Zhang Jia , Shi Tiantian , Miao Jianxiang , Chen Jingbiao 
Published: April 2023

AbstractThe atomic clocks, whether operating at optical or microwave region, can be divided into two categories according to their working mode, namely the passive clocks and active clocks. The passive clocks, whose standard frequency is locked to an ultra-narrow atomic spectral line, such as laser cooled Cs beam or lattice trapped Sr atoms, depend on the spontaneous emission line. On the contrary, the active clocks, in which the atoms are used as the gain medium, are based on the stimulated emission radiation, their spectrum can be directly used as the frequency standard. Up to now, the active hydrogen maser has been the most stable microwave atomic clocks. Also, the Sr superradiant active atomic clock is prospects for a millihertz-linewidth laser. Moreover, the optical clocks are expected to surpass the performance of microwave clocks both in stability and uncertainty, since their higher working frequency. The active optical clock has the potential to improve the stability of the best clocks by 2 orders of magnitude. In this work, we introduce the development of active optical clocks, and their types is classified according to the energy-level structure of atoms for stimulated radiation.
Analysis of in situ performance of rooftop PV system in Seoul, South Korea
Authors: Singh Ravneet , Nam A. Young , Park Jong Jun , Kim Young Il 
Published: April 2023

AbstractThis paper presents a study of a 98.1 kW-PV system facing south at an inclined angle of 15º on the roof of a university building in Seoul, South Korea (latitude 37.63° N and longitude 127.1° E). The system performance was analyzed for 2 years from Sep. 2015 to Aug. 2017. The average electrical power output was 0.59 kWh/(m2·day) with a 16.9% average annual efficiency for the 1st year which further decreased to 0.58 kWh/(m2·day) with average annual efficiency of 17.6% in the 2nd year. The annual irradiance was 3.50 kWh/(m2·day) for the 1st year and 3.31 kWh/(m2·day) for the 2nd year with a total annual output generation of 105.4 MWh and 103.5 MWh, respectively. Average daily power generations were 2.93 and 2.89 kWh/(kWp·day) for 2 years, respectively, with an annual performance ratio range of 80 ~ 90%. Predicted module temperatures show a good correlation with measured temperatures. Predicted and measured output values show a strong correlation. During the 1st year at a maximum module temperature of 60ºC, power output loss was found to be 13.3%, while in the 2nd year at a maximum module temperature of 57ºC, the power output loss observed was 12.2%.
Caught in the Net: Fish, Ships, and Oil in the GDR-Poland Territorial Waters Dispute, 1949–1989
Authors: Tompkins Andrew S. 
Published: April 2023

AbstractThe 1945 Potsdam Agreement established a new border between Poland and Germany at the so-called “Oder-Neisse line,” but it left unsettled the question of the maritime boundary on the Baltic Sea. Until 1989, the water border remained a matter of dispute between the German Democratic Republic and the Polish People's Republic socialist allies otherwise at pains to demonstrate unity in geopolitical matters—especially with regard to their shared “border of peace and friendship.” In the intervening decades, East German fishermen and Polish ship captains repeatedly ran afoul of the invisible water border, the importance of which increased as UN conventions on the Law of the Sea affected fishing, shipping, drilling, and security matters. This article examines the diplomatic dispute over territorial waters in relation to its environmental dimensions and social consequences, demonstrating how the challenges of governing transnational space in a water environment greatly complicated everyday life for water users as well as the border work of both states.
Beyond clinical and cost-effectiveness: The contribution of qualitative research to health technology assessment
Authors: Germeni Evi , Szabo Shelagh 
Published: April 2023

AbstractRecent developments in health technology assessment (HTA), including the promotion of a new and internationally accepted definition of HTA, have highlighted the need to go beyond clinical and cost-effectiveness to fully understand the potential value of health technologies. Multidisciplinary efforts to generate patient-focused evidence relevant to HTA, using both quantitative and qualitative approaches, are needed. Although it has been more than 20 years since opportunities for qualitative methods to inform HTA were first discussed, their use remains infrequent. The goal of this article is to resurrect the debate about the value of qualitative research in HTA. Drawing on examples from published literature, we propose five key areas where qualitative methods can contribute to HTA, complementary to studies of clinical and cost-effectiveness: (i) assessing acceptability and subjective value; (ii) understanding perspectives and providing context; (iii) reaching the groups other methods cannot reach; (iv) laying the groundwork for subsequent quantitative exercises; and (v) contributing to economic model development.
Health technology assessment of tests for SARS-CoV-2 and treatments for COVID-19: A proposed approach and best-practice recommendations
Authors: Elvidge Jamie , Summerfield Ashley , Knies Saskia , Németh Bertalan , Kaló Zoltán , Goettsch Wim , Dawoud Dalia M. 
Published: April 2023

Abstract

Objectives
To develop best-practice guidance for health technology assessment (HTA) agencies when appraising diagnostic tests for SARS-CoV-2 and treatments for COVID-19.

Methods
We used a policy sandbox approach to develop best-practice guidance for HTA agencies to approach known challenges associated with assessing tests and treatments for COVID-19. The guidance was developed by a multi-stakeholder workshop of twenty-one participants representing HTA agencies, clinical and patient experts, academia, industry, and a payer, from across Europe and North America. The workshop was supported by extensive background work to identify the key challenges, including: targeted reviews of existing COVID-related methods guidance for assessing interventions and clinical guidelines, engagement with clinical experts, a survey and workshop of HTA agencies, a systematic review of published economic evaluations, and a workshop of health economic modelers.

Results
We suggest HTA agencies should consider using other types of evidence (e.g., real world) where high-quality randomized controlled trials may be lacking and healthcare systems would value timely HTA outputs. A “living” HTA approach may be useful, given the context of an evolving disease, scientific understanding and evidence base, allowing for decisions to be efficiently revisited in response to new information; particularly, if supported by a common “disease model” for COVID-19. Innovative ways of engaging with the public and clinicians, and early engagement with regulators and payers, are recommended.

Conclusions
HTA agencies should consider the elements of this guidance that are most suited to their existing processes to enable them to assess the effectiveness and value of interventions for COVID-19.
Election hacking, the rule of sovereignty, and deductive reasoning in customary international law
Authors: Wheatley Steven 
Published: April 2023

AbstractThis article considers the international laws applicable to irresponsible state behaviour in cyberspace through the lens of the problem of election hacking. The rule of sovereignty has taken centre stage in these discussions and is said to be preferred to the non-intervention rule because it evades the problem of coercion. Proponents of the cyber rule of sovereignty contend that there is such a rule; opponents reject the existence of the rule as a matter of existing law. The objective here is to explore the methodologies involved in the identification of the cyber rule of sovereignty under customary international law. The work first frames the debate in the language of regulative and constitutive rules, allowing us to show that a regulative rule of sovereignty can, logically, and necessarily, be deduced from the constitutive rule of sovereignty. The content of the regulative rule can also be deduced from the constitutive rule of sovereignty, but it has a more limited scope than claimed by the proponents of the rule, notably the Tallinn Manual 2.0. The rule of sovereignty prohibits state cyber operations carried out on the territory of the target state and remote cyber operations which involve the exercise of sovereign authority on that territory, e.g., police evidence-gathering operations. The rule of sovereignty does not, however, prohibit other remote, ex situ state cyber operations, even those targeting ICTs used for governmental functions, including the conduct of elections. The rule of sovereignty is not, then, the solution to the problem of election hacking.