bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Nitrogen Application and Fertigation Scheduling On Potato Yield Performance Under Drip Irrigation System
Authors: Badr M. A. , Ali Eman , Salman S. R. 
Published: April 2023

AbstractThe drip irrigation method offers the potential of higher application efficiency of water and allows precise placement of fertilizer directly in the root zone. The use of drip irrigation also facilitates the frequent application of fertilizer via injection in the irrigation system, which allows the conjunction between nutrient application and time of crop needs. The effect of nitrogen (N) rate and drip fertigation scheduling were evaluated on yield, N uptake, and recovery of potato grown on sandy soil. The N was applied at two rates under regular irrigation (control) or through drip irrigation along with four fertigation schedules including: equal doses applied at the weekly or biweekly intervals and different doses based on growth curve characters (12.5, 25, 50, and 12.5% of the total N amount) at the same intervals, for initial, developmental, mid, and mature stages, respectively. The N rate and wise fertigation scheduling significantly affected yield and yield components except for the tuber number per plant. The higher tuber yield was associated with a higher N rate when the respective nutrient was stage wise scheduled and typically responded to growth curve character than equal scheduling at any time intervals. The increase in yield was higher with wise weekly by 13 and 22% than with equal weekly or biweekly intervals, respectively. For this scenario, the modeled crop uptake at the weekly interval was 16% higher than equal applied at the same interval or even greater by 31% than equal applied at the biweekly interval. Similarly, the higher N rate and wise weekly scheduling increased N recovery and N use efficiency (NUE). Soil N movement with wise scheduling resulted in lesser leaching of NO3−-N to deeper soil layers, particularly with wise weekly scheduling. The framework presented in this study regarding the rate and N scheduling to copy with plant growth curve can sustain high crop yield while reducing NO3−-N leaching, increasing N uptake and recover.
'You have to put a lot of trust in me': autonomy, trust, and trustworthiness in the context of mobile apps for mental health
Authors: Müller Regina , Primc Nadia , Kuhn Eva 
Published: April 2023

AbstractTrust and trustworthiness are essential for good healthcare, especially in mental healthcare. New technologies, such as mobile health apps, can affect trust relationships. In mental health, some apps need the trust of their users for therapeutic efficacy and explicitly ask for it, for example, through an avatar. Suppose an artificial character in an app delivers healthcare. In that case, the following questions arise: Whom does the user direct their trust to? Whether and when can an avatar be considered trustworthy? Our study aims to analyze different dimensions of trustworthiness in the context of mobile health app use. We integrate O'Neill's account of autonomy, trust, and trustworthiness into a model of trustworthiness as a relational concept with four relata: B is trustworthy with respect to A regarding the performance of Z because of C. Together with O'Neill's criteria of trustworthiness (honesty, competence, and reliability), this four-sided model is used to analyze different dimensions of trustworthiness in an exemplary case of mobile health app use. Our example focuses on an app that uses an avatar and is intended to treat sleep difficulties. The conceptual analysis shows that interpreting trust and trustworthiness in health app use is multi-layered and involves a net of interwoven universal obligations. At the same time, O'Neill's approach to autonomy, trust, and trustworthiness offers a normative account to structure and analyze these complex relations of trust and trustworthiness using mobile health apps.
Dynamic effects of social influence on asset prices
Authors: Huang Jia-Ping , Zhang Yang , Wang Juanxi 
Published: April 2023

AbstractThis paper examines the dynamic effects of Social Influence on asset prices in the presence of heterogeneous expectations among investors. In our model, the choices of investors’ trading strategies are influenced not only by past payoffs but also by their neighbors’ choices in the social network. To obtain tractable results with generic implications for social structure, we use a mean-field approximation approach rather than specifying the exact structure of social network. Analytical conditions for the existence and local stability of equilibria of price dynamics are established and validated through numerical simulations. Our analysis shows that social influence increases the dimension of the dynamical system and that equilibria can only be expressed implicitly as solutions of certain equations. We also investigate the long-run behavior of price and fraction of trading strategies using numerical simulation under a scale-free network and a power function type social influence factor. Our results suggest that the system tends to be stable when social influence is small but exhibit complex periodic orbits and even chaos when social influence is large. These findings yield valuable insights into the role of social influence in financial markets.
The EFQM excellence model, the knowledge management process and the corresponding results: an explanatory and predictive study
Authors: Bocoya-Maline José , Rey-Moreno Manuel , Calvo-Mora Arturo 
Published: April 2023

AbstractThis study aims to analyse the relationships among the EFQM model, the knowledge management (KM) process and the corresponding results. It also seeks to analyse the predictive power of the phases of the KM process with regard to organisational results. The sample under study is composed of 113 Spanish organisations that feature some kind of Excellence Recognition System granted by the European Foundation for Quality Management (EFQM). This paper uses partial least squares (PLS) path modelling to test and validate the research model and the proposed hypotheses. In addition, thorough analyses are conducted to assess the model’s predictive performance. The results show that organisations that use the management framework proposed by the EFQM model implement the phases of the KM process efficiently. Moreover, the synergies resulting from the simultaneous implementation of the EFQM model and the KM process contribute to improving the corresponding results. Also, the predictive power of the phases of the KM process is confirmed in terms of their ability to anticipate the results that the organisation will be able to achieve with respect to customers, people, society and key business factors. Finally, this study provides empirical evidence of the direct and indirect relationships among the EFQM model, the KM process and the corresponding results. In addition, the paper identifies out-of-sample prediction as an integral element of the evaluation of the model using PLS-SEM and as a way to evaluate its practical relevance, since it allows us to predict results.
Stéatose hépatique non alcoolique : diagnostic et traitement en 2022
Authors: Tagkou Nikoletta Maria , Goossens Nicolas 
Published: April 2023

RésuméLa NAFLD (Non Alcoholic Fatty Liver Disease) est la manifestation hépatique d’un trouble métabolique multisystémique. Elle est la principale cause de maladie hépatique au niveau mondial, avec une prévalence croissante. Bien qu’il s’agisse principalement d’une maladie silencieuse à évolution lente, certains patients présentent un risque élevé de progression de la maladie et d’issues plus graves telles que la cirrhose, le carcinome hépatocellulaire et la transplantation hépatique. Malgré les multiples études menées et les nombreux essais cliniques en cours, il n’existe pas de médicaments approuvés pour la NAFLD/NASH (Non Alcoholic Steato-Hepatitis), et le traitement doit donc se fonder sur des stratégies de modification du mode de vie. Cette revue explorera la définition et l’épidémiologie courantes de la NAFLD et de la NASH ainsi que les facteurs de risque et les conséquences de la maladie, tout en résumant les recommandations existantes pour le diagnostic, la stratification du risque et la prise en charge de la maladie.
Low-carbon city planning based on collaborative analysis of supply and demand scenarios
Authors: Yu Dan , Zhou Xiaohan , Qi Hui , Qian Fanyue 
Published: April 2023

AbstractWith the proposal of carbon reduction goals of countries around the world, "green and low-carbon" has become a new key to urban development and construction. However, in the existing urban planning system, the energy planning mapped by carbon emissions has received less attention, and the main goal is often to ensure safe supply. There is less research on carbon emissions. Therefore, it is necessary to take the energy planning in urban planning as the breakthrough point to carry out research on green and low-carbon development and construction at the urban level in the " Carbon Reduction " era. First, a city in China was taken as the research object to evaluate the resource endowment and development potential of the target city. Then, the carbon reduction paths of target cities in the three fields of construction, transportation and industry were studied, and the carbon reduction potential in different scenarios was quantified. After that, the influence of electric power carbon emission coefficient on different carbon saving scenarios was studied through sensitivity analysis. Finally, the government's low-carbon urban planning and decision-making suggestions were given. The results show that the relatively effective way is to carry out large-scale promotion of ultra-low energy consumption buildings and electric vehicles on the demand side, and to build distributed photovoltaic and heat pump systems on the supply side. On this basis, with the introduction of additional 30% of foreign green power, the per capita carbon emissions of cities would be reduced to 1.5tCO2 in 2035. In this way, the target city can achieve the goal of carbon neutrality in advance. Therefore, the results of this study have certain theoretical reference value for the study of low-carbon urban planning.
New Evidence for the Dating and Impact of the Black Death in Asia
Authors: Hymes Robert , Green Monica H. 
Published: April 2023

Since 2014, when The Medieval Globe first presented the latest interdisciplinary scholarship on the Black Death as a global pandemic, the pace and intensity of research has intensified. This follow-up volume features two extended essays laying out evidence that the Second Plague Pandemic was already ravaging China by the second quarter of the thirteenth-century - over a century before it made its appearance in the greater Mediterranean region.
Existence of positive solutions for Kirchhoff-type problem in exterior domains
Authors: Jia Liqian , Li Xinfu , Ma Shiwang 
Published: April 2023

AbstractWe consider the following Kirchhoff-type problem in an unbounded exterior domain $\Omega\subset\mathbb{R}^{3}$:
(*)
\begin{align}
\left\{
\begin{array}{ll}
-\left(a+b\displaystyle{\int}_{\Omega}|\nabla u|^{2}\,{\rm d}x\right)\triangle u+\lambda u=f(u), & x\in\Omega,\\
\\
u=0, & x\in\partial \Omega,\\
\end{array}\right.
\end{align}where a > 0, $b\geq0$, and λ > 0 are constants, $\partial\Omega\neq\emptyset$, $\mathbb{R}^{3}\backslash\Omega$ is bounded, $u\in H_{0}^{1}(\Omega)$, and $f\in C^1(\mathbb{R},\mathbb{R})$ is subcritical and superlinear near infinity. Under some mild conditions, we prove that if
\begin{equation*}-\Delta u+\lambda u=f(u), \qquad x\in \mathbb R^3 \end{equation*}has only finite number of positive solutions in $H^1(\mathbb R^3)$ and the diameter of the hole $\mathbb R^3\setminus \Omega$ is small enough, then the problem (*) admits a positive solution. Same conclusion holds true if Ω is fixed and λ > 0 is small. To our best knowledge, there is no similar result published in the literature concerning the existence of positive solutions to the above Kirchhoff equation in exterior domains.
Physicotheology in Kant’s Transition from Nature to Freedom
Authors: Hamid Nabeel 
Published: April 2023

AbstractThis article examines Kant’s treatment of the design argument for the existence of God, or physicotheology. It criticizes the interpretation that, for Kant, the assumption of intelligent design satisfies an internal demand of inquiry. It argues that Kant’s positive appraisal of physicotheology is instead better understood in terms of its polemical utility for rebutting objections to practical belief in God upon which Kant’s ethicotheological argument rests, and thus as an instrument in the transition from theoretical to practical philosophy. Kantian physicotheology plays this role (a) by criticizing alternative speculative accounts of the ground of nature, and (b) by analogizing from the structure of finite rational agency in order to represent more clearly the action of an ideal agent.
The genetic landscape and clinical implication of pediatric Moyamoya angiopathy in an international cohort
Authors: Zanoni Paolo , Steindl Katharina , Sticht Heinrich , Oneda Beatrice , Joset Pascal , Ivanovski Ivan , Horn Anselm H. C. , Cabello Elena M. , Laube Julia , Zweier Markus , Baumer Alessandra , Rauch Anita , Khan Nadia 
Published: April 2023

AbstractPediatric Moyamoya Angiopathy (MMA) is a progressive intracranial occlusive arteriopathy that represents a leading cause of transient ischemic attacks and strokes in childhood. Despite this, up to now no large, exclusively pediatric MMA cohort has been subjected to systematic genetic investigation. In this study, we performed molecular karyotyping, exome sequencing and automated structural assessment of missense variants on a series of 88 pediatric MMA patients and correlated genetic, angiographic and clinical (stroke burden) findings. The two largest subgroups in our cohort consisted ofRNF213and neurofibromatosis type 1 (NF1) patients. While deleteriousRNF213variants were associated with a severe MMA clinical course with early symptom onset, frequent posterior cerebral artery involvement and higher stroke rates in multiple territories, NF1 patients had a similar infarct burden compared to non-NF1 individuals and were often diagnosed incidentally during routine MRIs. Additionally, we found that MMA-associatedRNF213variants have lower predicted functional impact compared to those associated with aortic disease. We also raise the question of MMA as a feature of recurrent as well as rare chromosomal imbalances and further support the possible association of MMA withSTAT3deficiency. In conclusion, we provide a comprehensive characterization at the genetic and clinical level of a large exclusively pediatric MMA population. Due to the clinical differences found across genetic subgroups, we propose genetic testing for risk stratification as part of the routine assessment of pediatric MMA patients.
A vision transformer for decoding surgeon activity from surgical videos
Authors: Kiyasseh Dani , Ma Runzhuo , Haque Taseen F. , Miles Brian J. , Wagner Christian , Donoho Daniel A. , Anandkumar Animashree , Hung Andrew J. 
Published: April 2023

AbstractThe intraoperative activity of a surgeon has substantial impact on postoperative outcomes. However, for most surgical procedures, the details of intraoperative surgical actions, which can vary widely, are not well understood. Here we report a machine learning system leveraging a vision transformer and supervised contrastive learning for the decoding of elements of intraoperative surgical activity from videos commonly collected during robotic surgeries. The system accurately identified surgical steps, actions performed by the surgeon, the quality of these actions and the relative contribution of individual video frames to the decoding of the actions. Through extensive testing on data from three different hospitals located in two different continents, we show that the system generalizes across videos, surgeons, hospitals and surgical procedures, and that it can provide information on surgical gestures and skills from unannotated videos. Decoding intraoperative activity via accurate machine learning systems could be used to provide surgeons with feedback on their operating skills, and may allow for the identification of optimal surgical behaviour and for the study of relationships between intraoperative factors and postoperative outcomes.
ChatGPT’s inconsistent moral advice influences users’ judgment
Authors: Krügel Sebastian , Ostermaier Andreas , Uhl Matthias 
Published: April 2023

AbstractChatGPT is not only fun to chat with, but it also searches information, answers questions, and gives advice. With consistent moral advice, it can improve the moral judgment and decisions of users. Unfortunately, ChatGPT’s advice is not consistent. Nonetheless, it does influence users’ moral judgment, we find in an experiment, even if they know they are advised by a chatting bot, and they underestimate how much they are influenced. Thus, ChatGPT corrupts rather than improves its users’ moral judgment. While these findings call for better design of ChatGPT and similar bots, we also propose training to improve users’ digital literacy as a remedy. Transparency, however, is not sufficient to enable the responsible use of AI.
Subjective consistency increases trust
Authors: Nowak Andrzej , Biesaga Mikolaj , Ziembowicz Karolina , Baran Tomasz , Winkielman Piotr 
Published: April 2023

AbstractTrust is foundational for social relations. Current psychological models focus on specific evaluative and descriptive content underlying initial impressions of trustworthiness. Two experiments investigated whether trust also depends on subjective consistency—a sense of fit between elements. Experiment 1 examined how consistency of simple verbal characterizations influences trust judgments. Experiment 2 examined how incidental visual consistency impacts trust judgments and economic decisions reflecting trust. Both experiments show that subjective consistency positively and uniquely predicts trust judgments and economic behavior. Critically, subjective consistency is a unique predictor of trust that is irreducible to the content of individual elements, either on the dimension of trust or the dimension of valence. These results show that trust impressions are not a simple sum of the contributing parts, but reflect a “gestalt”. The results fit current frameworks emphasizing the role of predictive coding and coherence in social cognition.
Medial prefrontal cortex oxytocin mitigates epilepsy and cognitive impairments induced by traumatic brain injury through reducing neuroinflammation in mice
Authors: Chen Wen , Man Xiaoxiao , Zhang Yu , Yao Guangyan , Chen Jing 
Published: April 2023

AbstractTraumatic brain injury (TBI) is a major risk factor to develop epilepsy and cognitive impairments. Neuropeptide oxytocin has been previously evidenced to produce antiepileptic effects. However, the involvement of central oxytocin in TBI-induced epileptic status and cognitive dysfunctions is not fully elucidated. In this study, we aim to investigate the role of oxytocin on a TBI model followed by seizure induction to clarify whether the epilepsy and cognitive deficits could be mitigated by oxytocin. TBI was established by weight drop and epileptic behaviors were induced by pentylenetetrazole (PTZ) injection in mice. Moreover, oxytocin was microinjected into the medial prefrontal cortex (mPFC) to observe the effects on the epilepsy and cognition. The blood–brain barrier (BBB) function and the neuroinflammation were measured by Evans Blue staining and enzyme-linked immunosorbent assays, respectively. Mice exposed to TBI demonstrate increased vulnerability to PTZ-mediated seizures and cognitive disturbances with a decrease in peripheral and brain oxytocin levels. Additionally, TBI reduces oxytocin, disrupts the BBB permeability and triggers neuroinflammation in mPFC in PTZ-treated mice. Intra-mPFC oxytocin simultaneously mitigates epilepsy and cognitive impairments. Finally, oxytocin restores BBB integrity and reduces mPFC inflammation in PTZ-treated TBI mice. These findings showed that intra-mPFC oxytocin suppressed the seizure vulnerability and cognitive deficits in TBI mice. The normalization of BBB integrity and inhibition of neuroinflammation may be involved in the antiepileptic and cognition-improved effects of oxytocin, suggesting that targeting inflammatory procedure in mPFC may decrease the risk to develop epilepsy and cognitive impairments in individuals previously experienced TBI.
Bacterial microbiome in tropical lichens and the effect of the isolation method on culturable lichen-derived actinobacteria
Authors: Weeraphan Trinset , Somphong Achiraya , Poengsungnoen Vasun , Buaruang Kawinnat , Harunari Enjuro , Igarashi Yasuhiro , Tanasupawat Somboon , Phongsopitanun Wongsakorn 
Published: April 2023

AbstractTen samples of tropical lichens collected from Doi Inthanon, Thailand, were explored for the diversity of their bacterial microbiomes through 16S rRNA-based metagenomics analysis. The five predominant lichen-associated bacteria belonged to the phyla Proteobacteria (31.84%), Planctomycetota (17.08%), Actinobacteriota (15.37%), Verrucomicrobiota (12.17%), and Acidobacteriota (7.87%). The diversity analysis metric showed that Heterodermia contained the highest bacterial species richness. Within the lichens, Ramalina conduplicans and Cladonia rappii showed a distinct bacterial community from the other lichen species. The community of lichen-associated actinobacteria was investigated as a potential source of synthesized biologically active compounds. From the total Operational Taxonomic Units (OTUs) found across the ten different lichen samples, 13.21% were identified as actinobacteria, including the rare actinobacterial genera that are not commonly found, such as Pseudonocardia, Kineosporia, Dactylosporangium, Amycolatopsis, Actinoplanes, and Streptosporangium. Evaluation of the pretreatment method (heat, air-drying, phenol, and flooding) and isolation media used for the culture-dependent actinobacterial isolation revealed that the different pretreatments combined with different isolation media were effective in obtaining several species of actinobacteria. However, metagenomics analyses revealed that there were still several strains, including rare actinobacterial species, that were not isolated. This research strongly suggests that lichens appear to be a promising source for obtaining actinobacteria.
A versatile humanoid robot platform for dexterous manipulation and human–robot collaboration
Authors: Shu Xin , Ni Fenglei , Fan Xinyang , Yang Shuai , Liu Changyuan , Tu Baoxu , Liu Yiwei , Liu Hong 
Published: April 2023

AbstractHumanoid robots have attracted much attention by virtue of their compatibility with human environments. However, biped humanoids with immense promise still cannot function steadily and reliably in real‐world settings in the current state. Hence, rationally combining a humanoid robot with different stable mobile platforms is a favoured solution for diverse scenarios. Here, a new versatile humanoid robot platform, aiming to provide a generic solution that can be flexibly deployed in diverse scenarios, for example, indoors and fields is presented. Versatile humanoid robot platform incorporates multimodal perception, and extensible interfaces on hardware and software, allowing it to be rapidly integrated with different mobile platforms and end‐effectors, only through easy‐to‐assemble interfaces. Additionally, the platform has achieved impressive integration, lightness, dexterity, and strength in its class, with human‐like size and rich perception, targeted to have human‐intelligent manipulation skills for human‐engineered environments. Overall, this article elaborates on the reasoning behind the design choices, and outlines each subsystem. Lastly, the essential performance of the platform is successfully demonstrated in a set of experiments with precise and dexterous manipulation, and human–robot collaboration requirements.