bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dual-modality Imaging of Angiogenesis in Unstable Atherosclerotic Plaques with VEGFR2-Targeted Upconversion Nanoprobes in vivo
Authors: Fang Yan , Yang Ruichen , Hou Yi , Wang Yabin , Yang Ning , Xu Mengqi , Li Sulei , Gao Shan , Jiang Min , Fan Jingyang , Hu Yazhuo , Xu Zhenzhen , Gao Lei , Cao Feng 
Published: May 2022

Abstract
Aim
Angiogenesis plays a major role in atherosclerotic plaque development and instability. Our study aims to develop a novel optical and magnetic resonance (MR) dual-modality molecular imaging probe to early detect unstable plaques in vivo by targeting biomarkers of angiogenesis in murine models of atherosclerosis (AS).

Methods
Immunofluorescence and western blot were used to detect the expression of Vascular Endothelial Growth Factor Receptor 2 (VEGFR2) in activated Human Umbilical Vein Endothelial Cells (HUVECs). After synthesis and identification of novel short peptide VRBP1-targeted VEGFR2, HUVECs were co-cultured with FITC-VRBP1 to test specific affinity of VRBP1. Then VRBP1-UCNPstargeting VEGFR2 were constructed by conjugating VRBP1 to the surface of NaGdF4:Yb,Er@NaGdF4 nanoparticles. The characterization of the nanoparticles was performed by transmission electron microscopy (TEM), distribution of size, hydrodynamic size, zeta potential, absorption spectra, emission spectra, imaging intensity of different concentrations, binding affinity and cytotoxicity of nanoprobes in vitro. The upconversion luminescence (UCL) and MR imaging were performed to identify unstable atherosclerotic plaque in ApoE−/− mice in vivo and ex vivo. Morphological staining was used to verify AS model and angiogenesis, and Inductively Coupled Plasma-Atomic Emission Spectrometry (ICP-AES) was used to confirm accumulation of the nanoparticles after imaging.

Results
After induced by hypoxia and ox-LDL, the expression of VEGFR2 in activated HUVECs was enhanced. FITC-VRBP1 can specifically bind to the HUVECs. Characterization of the nanoparticles showed that particles size is uniform with a stable structure, specific optical and MR signal, good binding affinity to VEGFR2 and low cytotoxicity. In vivo and ex vivo UCL imaging and quantitative analysis revealed that distinctive optical signal was observed in the regions of left carotid common arteries (LCCAs) of AS group after injection of VRBP1-UCNPs. Higher signal intensity on T1-weighted MR imaging appeared in the LCCA wall of AS group after injection. The results of morphological staining demonstrated angiogenesis in the atherosclerotic plaques, Gd ions in LCCAs, aortic arch and renal arteries bifurcations detected by ICP-AES confirmed accumulation of the nanoparticles in plaque.

Conclusions
We successfully design and synthesize a novel UCNPs using peptide VRBP1 targeting to VEGFR2. In vivo imaging demonstrates that VRBP1-UCNPs can be used to perform optical/MR dual-modality imaging targeting angiogenesis in plaques, which is a promising technique to early detect unstable atherosclerosis.
CFD simulation of gas pressure drop in porous packing for rotating packed beds (RPB) CO2 absorbers
Authors: Wojtasik-Malinowska Justyna , Jaskulski Maciej , Jaskulski Marcin 
Published: May 2022

AbstractRotating packed bed (RPB) is a promising technology which can be used to intensify mass transfer in absorption processes. A better understanding of fluid dynamics is crucial to fill the gap in fundamental knowledge. Raising awareness on new technology and creating rules for process design and control are also very important. The experimental investigation of fluid in rotating beds is a very complex and difficult issue. What is more, the knowledge of the phase behavior in an RPB device is still insufficient. Therefore, an CFD (computational fluid dynamics) simulation is proposed as a tool for the study of gas phase flow inside porous packing. This study presents a three-dimensional numerical model for two fluid models: k-ε and RNG k-ε, for predicting dry pressure drop. The obtained simulation outcome was compared with the experimental results. The experimental dry pressure drop for porous packing was investigated for rotational speed in the range from 150 rpm to 1500 rpm and compared to the results from the CFD model. The comparison between the experimental and simulation results indicates very good consistency for the entire range of the rotational speed of interest. CFD modelling is recognised as an adequate tool leading to the better understanding of gas phase behaviour inside an RPB, filling an essential gap in our knowledge of the hydrodynamics of rotating packing, which allows to improve the design and performance of the process in RPB in terms of minimizing energy and material consumption.
Substance Abuse Associated with Aggressive/Violent Behaviors in Psychiatric Outpatients and Related Psychotropic Prescription
Authors: Mauri Massimo Carlo , Cirnigliaro Giovanna , Piccoli Eleonora , Vismara Matteo , De Carlo Vera , Girone Nicolaja , Dell’Osso Bernardo 
Published: May 2022

AbstractPsychiatric
disorders with substance abuse are considered the leading causes of most violent and aggressive behaviors in the general population. This study was aimed to assess the impact of substance abuse and the therapeutic approaches adopted by psychiatrists in aggressive vs non-aggressive outpatients (n = 400) attending community-based psychiatric services and recruited over a 3-year period. Clinical and therapeutic variables were collected from medical records and the Modified Overt Aggression Scale (MOAS) was used to assess any aggressive/violent behavior. Violent behaviors were significantly higher in alcohol and substance abusers compared to non-abusers (p < 0.01), except for heroin abusers. Mean weighted MOAS score was significantly higher in patients taking antipsychotics (p < 0.005). The administration of Haloperidol, Zuclopenthixol, and Clozapine was more frequent in aggressive than in non-aggressive patients. The most frequently administered drug in these patients was Haloperidol (23.91%), with a higher mean daily dosage in violent vs non-violent patients. Our results confirm the well-established relationship between substance abuse and violent behaviors in psychiatric inpatients also within outpatient community services. Observed rates of most frequently prescribed antipsychotics to aggressive patients did not show any preference for newer generation compounds, with clinicians operating in the community setting likely being in need for further evidence and specific training to support their treatment choice.
The effect of marketing department power on investor responses to announcements of AI-embedded new product innovations
Authors: Padigar Manjunath , Pupovac Ljubomir , Sinha Ashish , Srivastava Rajendra 
Published: May 2022

AbstractEven as more companies integrate artificial intelligence (AI) into their new products and services, little research outlines the strategic implications of such AI adoption. Therefore, the present study investigates how investors respond to announcements of new product innovations integrated with AI by non-software firms (AI-NPIs), with the prediction that they respond favorably if the firms feature a marketing department with substantial power; such firms likely possess the marketing resources and assets needed to ensure the success of AI-NPIs. An event study with a sample of 341 announcements by 77 S&P 500 firms between 2009–2018 supports this prediction. Furthermore, the relationship between marketing department power and investor response intensifies when the announcement (1) occurs in later innovation stages, (2) involves the sourcing of external innovation assets, and (3) refers to more complex innovations. These findings have both theoretical and managerial implications.
Autobiographical Memory and Mindfulness: a Critical Review with a Systematic Search
Authors: Dominguez Evangelina , Casagrande Maria , Raffone Antonino 
Published: May 2022

Abstract
Objectives
Autobiographical memory (AM) is linked to the construct of self, which is influenced by mindfulness training. Furthermore, both self-reference and AM can be affected by psychopathological conditions, such as depression. This article offers a critical review with a systematic search of the studies using different paradigms to investigate the effects of mindfulness training on AM, as well as the relationships between trait mindfulness and AM.

Methods
The review includes studies with behavioral, self-report, and neuroimaging methods by considering both non-clinical and clinical investigations in an integrative perspective. Fifty articles were reviewed. The review addressed the following main fields: mindfulness and autobiographical memory specificity; mindfulness and emotional autobiographical recall; and self-inquiry into negative autobiographical narratives and mindfulness. An additional section analyzed 18 studies that addressed the effects of mindfulness training on memory flashbacks.

Results
In line with the hypotheses, grounded on theories of AM, self, conscious processing, memory reconsolidation, and Buddhist psychology, the review results suggest that the influences of mindfulness training and trait mindfulness on AM can be related to enhanced cognitive, emotional, and self-referential flexibility. This influence is also associated with improved meta-awareness, acceptance, and the flexibility to shift from a first- to a third-person self-perspective in AM recall. In particular, the review highlights increased self-referential flexibility related to mindfulness, which during AM recall would enable a more balanced retrieval of episodic, semantic, and emotional contents, as well as increased AM specificity and reduced emotional reactivity. A mindfulness-related reconsolidation of the links between AM traces and the self might play a crucial role. The mindfulness-related changes of the experiences during AM recall may be translated into long-term reconsolidation-related changes in the AM traces, with a potential interactive effect on the self, thus becoming more flexible. The review also highlights brain mechanisms underlying these influences, given by changes in activity and functional connectivity of core regions in the default mode network (medial prefrontal cortex and posterior cingulate cortex), salience network (anterior cingulate cortex and anterior insula), and central executive network (dorsolateral prefrontal cortex). Finally, we suggest new research developments from the review and the related theoretical perspective.

Conclusion
The review results, together with the proposed theoretical accounts, bridge a set of investigations on several autobiographical memory phenomena and mindfulness, and might usefully lead to further studies, also with relevant clinical and cognitive neuroscience implications.
A Reflection on the Tensions of Acting in Dual Roles of Doctoral Researcher and Practitioner when Evaluating a Lifestyle Intervention for Breast Cancer Patients
Authors: Richardson Jane , Erol Rosie , Bueno Allain Amador 
Published: May 2022

AbstractThis reflection was completed as part of a doctoral project to develop and trial a lifestyle intervention for people following the completion of their treatment for breast cancer. In this study the graduate student acted in the dual roles of nutrition practitioner and researcher. This article uses the experience, reflection, action (ERA) cycle of reflection to consider some of the tensions faced due to the divergent priorities and requirements of these two roles. One challenge occurred during study recruitment when a few potential participants did not meet the inclusion criteria for the study but still wished to attend the intervention sessions. It was also a challenge to mitigate the risks of distress of potentially vulnerable participants during group intervention sessions. In both instances there was a potential conflict between the needs of patients and research requirements. This reflection concluded that the obligations of both roles should be adhered to where possible, but if in doubt, the needs of the participants were paramount.
EU-wide mapping of ‘Protected Designations of Origin’ food products (PDOs) reveals correlations with social-ecological landscape values
Authors: Flinzberger Lukas , Zinngrebe Yves , Bugalho Miguel Nuno , Plieninger Tobias 
Published: May 2022

AbstractThe Geographical Indications (GIs) scheme is the EU’s primary policy tool for increasing the market values of geographically distinct food products. Although GIs are linked to the landscapes of food production, little is known about the social-ecological values they represent, mainly due to a lack of spatial data. In this study, we, therefore, mapped all 638 food products labeled as Protected Designations of Origin (PDOs), using NUTS-3 areas as proxies for their actual extent, and correlated their distribution with 13 social-ecological indicators. By compiling this novel dataset, we show that the presence of PDOs strongly overlaps with environmental and cultural values. We reveal positive correlations of PDO frequency with high nature value farmland, semi-natural agriculture, tourism, and cultural heritage indicators. Further, we find that PDOs occur more often in economically weaker areas with older and declining populations. Besides differences in PDO distribution between northern and southern EU countries, we find different correlation patterns across the four largest food categories. For example, cheese and meat products are less correlated to environmental values compared to oils and fats, or fruit, vegetables and cereals. On that basis, we identify the potential of PDOs to support structurally deprived areas and propose PDOs as entry points for sustainable transformation and rural development policies—while simultaneously contributing to the conservation of cultural landscapes and their associated environmental values. As outlined in the Green Deal of the European Union and its Farm to Fork strategy, PDOs should be a part of this transformation. Based on the results of this study, we discuss more specifically for which production systems and under what enabling conditions PDOs are fit for this challenge. We recommend that future governance interventions for a sustainable transformation of EU’s agriculture should take the differences across regions and product categories into account.
Complex Pythagorean uncertain linguistic group decision-making model based on Heronian mean aggregation operator considering uncertainty, interaction and interrelationship
Authors: Wang Haolun , Zhang Faming 
Published: May 2022

AbstractTo effectively solve the mixed problem of considering the uncertainty of individuals and groups, the interaction between membership degree (MD) and non-membership (ND), and the interrelationship between attribute variables in complicated multiple attribute group decision-making (MAGDM) problems, in this paper, a concept of complex Pythagorean uncertain linguistic (CPUL) set (CPULS) is introduced, the interaction operational laws (IOLs) of CPUL variables (CPULVs) are defined. The CPUL interaction weighted averaging and geometric operators are presented. A new concept of CPUL rough number (CPULRN) is further constructed. The CPUL rough interaction weighted averaging and geometric aggregation operators (AOs) are extended. The ordering rules of any two CPULRNs are defined. The CPUL rough interaction Heronian mean (HM) (CPULRIHM) operator and its weighted form are advanced, related properties and special cases are explored. An MAGDM model based on CPUL rough interaction weighted HM (CPULRIWHM) operator is built. Lastly, we conduct a case study of location selection problem for logistics town project to show the applicability of the proposed methodology. The sensitivity and methods comparison are analyzed to verify the effectively and superiority.
Autonomous robotic additive manufacturing through distributed model‐free deep reinforcement learning in computational design environments
Authors: Felbrich Benjamin , Schork Tim , Menges Achim 
Published: May 2022

AbstractThe objective of autonomous robotic additive manufacturing for construction in the architectural scale is currently being investigated in parts both within the research communities of computational design and robotic fabrication (CDRF) and deep reinforcement learning (DRL) in robotics. The presented study summarizes the relevant state of the art in both research areas and lays out how their respective accomplishments can be combined to achieve higher degrees of autonomy in robotic construction within the Architecture, Engineering and Construction (AEC) industry. A distributed control and communication infrastructure for agent training and task execution is presented, that leverages the potentials of combining tools, standards and algorithms of both fields. It is geared towards industrial CDRF applications. Using this framework, a robotic agent is trained to autonomously plan and build structures using two model-free DRL algorithms (TD3, SAC) in two case studies: robotic block stacking and sensor-adaptive 3D printing. The first case study serves to demonstrate the general applicability of computational design environments for DRL training and the comparative learning success of the utilized algorithms. Case study two highlights the benefit of our setup in terms of tool path planning, geometric state reconstruction, the incorporation of fabrication constraints and action evaluation as part of the training and execution process through parametric modeling routines. The study benefits from highly efficient geometry compression based on convolutional autoencoders (CAE) and signed distance fields (SDF), real-time physics simulation in CAD, industry-grade hardware control and distinct action complementation through geometric scripting. Most of the developed code is provided open source.
A tail-tolerant cloud storage scheduling based on precise periodicity detection
Authors: Han Yuxiao , Ma Jia , Li Fei , Liu Yubo , Xiao Nong , Lu Yutong , Chen Zhiguang 
Published: May 2022

AbstractCloud storage is a fundamental component of the cloud computing system, which significantly affects the overall performance and quality of service of the cloud. Cloud storage servers face the challenge of imbalanced workloads. According to our observations on the time series generated by cloud storage, we found that the imbalance workloads will dramatically increase the tail latency of data access in the multi-tenant scenario. The intuitive solution is to periodicity detect the imbalance storage nodes and re-balance the loads. However, there are four challenges to accurately detect load of storage in the cloud with multiple tenants since the load may change frequently in cloud. This paper proposes PrecisePeriod, a precise periodicity detection algorithm customized for multi-tenant cloud storage. It removes outliers through data preprocessing, employs the discrete wavelet transform to remove high-frequency noise while keeping frequency domain information, computes the candidate periodicity queue using the autocorrelation function, and determines precise period through periodicity verification. Then, we design a cloud storage load balancing scheduling strategy based on PrecisePeriod, and the evaluation shows that the PrecisePeriod scheduling significantly reduces tail latency while only bringing$$1-2\%$$1-2%overhead.
Neurovascular-Sparing MR-Guided Adaptive Radiotherapy in Prostate Cancer; Defining the Potential Population for Erectile Function-Sparing Treatment
Authors: Teunissen Frederik R. , van der Voort van Zyp Jochem R.N. , Verkooijen Helena M. , Wortel Ruud C. 
Published: May 2022

ABSTRACT

Background
Magnetic resonance-guided adaptive radiotherapy (MRgRT) enables neurovascular-sparing treatment for localized prostate cancer (PCa). The aim of this treatment is preservation of erectile function by sparing the neurovascular bundles, the internal pudendal arteries, the corpora cavernosa, and the penile bulb. Internal pudendal arteries, corpora cavernosa, and penile bulb sparing can generally be achieved in all patients, but NVB sparing can be challenging due to its proximity to the prostate and is therefore dependent on tumor location. PCa patients that have sufficient erectile function at baseline and favorable tumor characteristics might benefit from this treatment. Currently, it is unclear what proportion of patients are eligible for neurovascular-sparing treatment and to what extent this is technically feasible.

Aim
To define the eligibility and technical feasibility for neurovascular-sparing MRgRT in intermediate-risk localized PCa patients.

Methods
A consecutive series of men that received 5 × 7.25 gray (Gy) MRgRT for localized PCa were included. Baseline erectile function was assessed using the International Index of Erectile Function (IIEF)-5 questionnaire. Additionally, the ability of sparing the neurovascular bundles was assessed in all patients. Per neurovascular-sparing protocol, the dominant intraprostatic lesion with a 4 mm isotropic margin should receive 34.44 Gy in ≥ 99% of the volume (i.e., high-dose area). When the high-dose area directly borders or overlaps the NVB because of a dorsolateral position of the dominant intraprostatic lesion, sparing of the NVB was considered not feasible on that side.

Outcomes
Patient-reported IIEF-5 baseline questionnaires and the technical feasibility of NVB sparing were assessed.

Results
Of the 102 men that completed the IIEF-5 questionnaire at baseline, 49.0% of patients reported to have an IIEF-5 score of ≥ 17. In those patients, the NVB could technically have been spared bilaterally in 20.0% and unilaterally in 68.0%.

Clinical Implications
Our findings define the potential population for neurovascular-sparing MRgRT for localized PCa and indicate the proportion in which the NVB can technically be spared.

Strength & Limitations
The major strength of this study is the prospective collection of data. The limitations include that the neurovascular-sparing feasibility definition is based on pre-clinical planning data.

Conclusion
A substantial group of 49.0% of patients in our study had mild or no erectile dysfunction at baseline. Of these patients, the NVB could technically have been spared bilaterally in 20.0% and unilaterally in 68.0% during MRgRT. Trials need to assess the effect of neurovascular-sparing MRgRT on erectile function.
Soro Soke
Authors: Lorenz Trish 
Published: May 2022

For the first time in human history, people aged over 65 now outnumber children under five. Yet one region in the world is bucking this trend: the world's top 20 youngest countries by population are all located in sub-Saharan Africa, and Africa's population under 35 now equals almost a billion people. Whilst there has been much research and reportage in the West around the lives of millennials and Gen Z, little has been written on the dreams and aspirations, the fears and hopes, the needs and desires of young Africans. The Yoruba expression Soro Soke, meaning “Speak Up”, has become a clarion call for young Nigerians seeking to make their voices heard, resonating across the African continent and around the world via social media. Trish Lorenz speaks to the bright new entrepreneurs, artists, and activists of Lagos and Abuja, Nigeria, to understand what it means to be young in an otherwise ageing world. This book is also available Open Access.