bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrically driven reprogrammable phase-change metasurface reaching 80% efficiency
Authors: Abdollahramezani Sajjad , Hemmatyar Omid , Taghinejad Mohammad , Taghinejad Hossein , Krasnok Alex , Eftekhar Ali A. , Teichrib Christian , Deshmukh Sanchit , El-Sayed Mostafa A. , Pop Eric , Wuttig Matthias , Alù Andrea , Cai Wenshan , Adibi Ali 
Published: March 2022

AbstractPhase-change materials (PCMs) offer a compelling platform for active metaoptics, owing to their large index contrast and fast yet stable phase transition attributes. Despite recent advances in phase-change metasurfaces, a fully integrable solution that combines pronounced tuning measures, i.e., efficiency, dynamic range, speed, and power consumption, is still elusive. Here, we demonstrate an in situ electrically driven tunable metasurface by harnessing the full potential of a PCM alloy, Ge2Sb2Te5 (GST), to realize non-volatile, reversible, multilevel, fast, and remarkable optical modulation in the near-infrared spectral range. Such a reprogrammable platform presents a record eleven-fold change in the reflectance (absolute reflectance contrast reaching 80%), unprecedented quasi-continuous spectral tuning over 250 nm, and switching speed that can potentially reach a few kHz. Our scalable heterostructure architecture capitalizes on the integration of a robust resistive microheater decoupled from an optically smart metasurface enabling good modal overlap with an ultrathin layer of the largest index contrast PCM to sustain high scattering efficiency even after several reversible phase transitions. We further experimentally demonstrate an electrically reconfigurable phase-change gradient metasurface capable of steering an incident light beam into different diffraction orders. This work represents a critical advance towards the development of fully integrable dynamic metasurfaces and their potential for beamforming applications.
An improved daily standardized precipitation index dataset for mainland China from 1961 to 2018
Authors: Wang Qianfeng , Zhang Rongrong , Qi Junyu , Zeng Jingyu , Wu Jianjun , Shui Wei , Wu Xiaoping , Li Jianwei 
Published: March 2022

AbstractThe standardized precipitation index (SPI), one of the most commonly used drought indicators, is widely used in the research areas of drought analysis and drought prediction in different fields such as meteorology, agriculture, and hydrology. However, its main disadvantage is the relatively coarse time resolution of one month. To improve the time resolution of SPI to identify flash droughts, we have refined the traditional SPI calculation method and developed a new multi-scale daily SPI dataset based on data from 484 meteorological stations in mainland China from 1961 to 2018. SPI data from three different sites (located in Henan, Yunnan, and Fujian Provinces) at the three-month timescale were analyzed by comparing with historically recorded drought events. We found that the new multi-scale daily SPI can effectively capture drought events in different periods and locations and identify the specific start and end times of drought events. In short, our SPI dataset appears reasonable and capable of facilitating drought research in different fields.
Aluminum alloy compositions and properties extracted from a corpus of scientific manuscripts and US patents
Authors: Pfeiffer Olivia P. , Liu Haihao , Montanelli Luca , Latypov Marat I. , Sen Fatih G. , Hegadekatte Vishwanath , Olivetti Elsa A. , Homer Eric R. 
Published: March 2022

AbstractResearchers continue to explore and develop aluminum alloys with new compositions and improved performance characteristics. An understanding of the current design space can help accelerate the discovery of new alloys. We present two datasets: 1) chemical composition, and 2) mechanical properties for predominantly wrought aluminum alloys. The first dataset contains 14,884 entries on aluminum alloy compositions extracted from academic literature and US patents using text processing techniques, including 550 wrought aluminum alloys which are already registered with the Aluminum Association. The second dataset contains 1,278 entries on mechanical properties for aluminum alloys, where each entry is associated with a particular wrought series designation, extracted from tables in academic literature.
Reproducible long-term cycling data of Al2O3 coated LiNi0.70Co0.15Mn0.15O2 cathodes for lithium-ion batteries
Authors: Negi Rajendra S. , Elm Matthias T. 
Published: March 2022

AbstractLiNixCoyMn1-x-yO2 (NCM) based cathodes for Li-ion batteries (LIBs) are of great interest due to their higher energy density and lower costs compared to conventional LiCoO2 based cathodes. However, NCM based cathodes suffer from instabilities of the cathode-electrolyte interface resulting in faster capacity fading during long-term cycling. Different NCM compositions along with different coatings have been developed to protect the interface. However, a detailed understanding why and how coatings work is still missing. Up to now, no state-of-the-art NCM or coating material have been agreed upon yet, making it difficult to benchmark the performance of the coating material. Undefined standards complicate the use of experimentally produced data for model-based studies, which are a key element in assessing the beneficial effect of coatings. In this work, we therefore describe reproducible long-term cycling data of NCM based cathodes with and without an Al2O3 based coating. The data set is provided to be used for parameter fitting and/or as training data to encourage the simulation of the performance of LIBs in model-based approaches.
Linking genomic and epidemiologic information to advance the study of COVID-19
Authors: Wang Yiwei , Yang Jiaxin , Zhuang Xinhao , Ling Yunchao , Cao Ruifang , Xu Qingwei , Wang Peng , Xu Ping , Zhang Guoqing 
Published: March 2022

AbstractThe outbreak of Coronavirus Disease 2019 (COVID-19) at the end of 2019 turned into a global pandemic. To help analyze the spread and evolution of the virus, we collated and analyzed data related to the viral genome, sequence variations, and locations in temporal and spatial distribution from GISAID. Information from the Wikipedia web page and published research papers were categorized and mined to extract epidemiological data, which was then integrated with the public dataset. Genomic and epidemiological data were matched with public information, and the data quality was verified by manual curation. Finally, an online database centered on virus genomic information and epidemiological data can be freely accessible at https://www.biosino.org/kgcov/, which is helpful to identify relevant knowledge and devising epidemic prevention and control policies in collaboration with disease control personnel.
Integrated scheduling of hot rolling production planning and power demand response considering order constraints and TOU price
Authors: Gong Feixiang , Chen Songsong , Tian Shiming , Qin Jian , Zhang Haijing , Sun Beibei , Yuan Jindou , Jiang Linru , Xu Yuting , Wang Yong 
Published: March 2022

AbstractWhen participating in demand response, the industrial adjustable load has the advantages of large capacity, high benefit, and easy management compared with commercial and residential loads. However, the stage of the production process is strongly coupled with the power consumption process, especially in the steel industry. Here, a multi‐objective optimization model for the optimal scheduling of hot rolling load considering the actual production operation conditions was proposed, the model was abstracted into a vehicle routing problem (VRP) ,which is a typical combinatorial optimization problem .To minimize the cost of electricity and the risk of delivery order default, this paper considered the jump penalty value between adjacent slabs simultaneously, constructed an integrated scheduling model of hot rolling shop scheduling and power demand response, and designed a multi‐objective production scheduling algorithm based on NSGA‐II to solve the problem. The results showed that the proposed method can realize the reasonable distribution of production load under the constraints of electricity price and production.
Optimisation of practically constrained waveforms for Rician target detection with multiple‐input‐multiple‐output radar
Authors: Wang Xuyang , Tang Bo , Zhang Ming 
Published: March 2022

AbstractIn this paper, the waveform design for Rician target detection with multiple‐input‐multiple‐output radar is addressed. The relative entropy between the distributions of the observations under two hypotheses is employed as the design metric. Due to the difficulty of tackling the non‐convex waveform design problem, a novel algorithm based on minorisation‐maximisation is developed. Since a simple quadratic function is established to minorise the objective function, the presented algorithm has lower computational complexity than its counterparts. Moreover, it can be extended to design waveforms under many practical constraints, including the constant‐envelope constraint, the similarity constraint, and the constant‐envelope and similarity constraints. Numerical results are provided to show the effectiveness of the proposed algorithm for detecting Rician targets. Moreover, the designed waveforms can be used to enhance the detection performance of a Swerling 0 target in the presence of angle mismatch.
Identification and validation of a seven‐gene prognostic marker in colon cancer based on single‐cell transcriptome analysis
Authors: Zhou Yang , Guo Yang , Wang Yuanhe 
Published: March 2022

AbstractColon cancer (CC) is one of the most commonly diagnosed tumours worldwide. Single‐cell RNA sequencing (scRNA‐seq) can accurately reflect the heterogeneity within and between tumour cells and identify important genes associated with cancer development and growth. In this study, scRNA‐seq was used to identify reliable prognostic biomarkers in CC. ScRNA‐seq data of CC before and after 5‐fluorouracil treatment were first downloaded from the Gene Expression Omnibus database. The data were pre‐processed, and dimensionality reduction was performed using principal component analysis and t‐distributed stochastic neighbour embedding algorithms. Additionally, the transcriptome data, somatic variant data, and clinical reports of patients with CC were obtained from The Cancer Genome Atlas database. Seven key genes were identified using Cox regression analysis and the least absolute shrinkage and selection operator method to establish signatures associated with CC prognoses. The identified signatures were validated on independent datasets, and somatic mutations and potential oncogenic pathways were further explored. Based on these features, gene signatures, and other clinical variables, a more effective predictive model nomogram for patients with CC was constructed, and a decision curve analysis was performed to assess the utility of the nomogram. A prognostic signature consisting of seven prognostic‐related genes, including CAV2, EREG, NGFRAP1, WBSCR22, SPINT2, CCDC28A, and BCL10, was constructed and validated. The proficiency and credibility of the signature were verified in both internal and external datasets, and the results showed that the seven‐gene signature could effectively predict the prognosis of patients with CC under various clinical conditions. A nomogram was then constructed based on features such as the RiskScore, patients' age, neoplasm stage, and tumor (T), nodes (N), and metastases (M) classification, and the nomogram had good clinical utility. Higher RiskScores were associated with a higher tumour mutational burden, which was confirmed to be a prognostic risk factor. Gene set enrichment analysis showed that high‐score groups were enriched in ‘cytoplasmic DNA sensing’, ‘Extracellular matrix receptor interactions’, and ‘focal adhesion’, and low‐score groups were enriched in ‘natural killer cell‐mediated cytotoxicity’, and ‘T‐cell receptor signalling pathways’, among other pathways. A robust seven‐gene marker for CC was identified based on scRNA‐seq data and was validated in multiple independent cohort studies. These findings provide a new potential marker to predict the prognosis of patients with CC.
Anterolateral Extraarticular Stabilisation of the Knee: Modified Lemaire Procedure
Authors: Giebel Gregor M. , Ahmad Sufian S. , Stöckle Ulrich , Konrads Christian 
Published: March 2022

SummaryThe anterolateral aspect of the knee is prone to laxity or symptomatic instability, if the anterior cruciate ligament (ACL) is torn. It is necessary to address this issue in
patients with general joint hyperlaxity, overextension of the knee, massive anterolateral instability, or re-tear of the ACL with chronic instability. In these cases, and in
addition to a preoperative bony workup and revision ACL reconstruction, anterolateral stabilisation should be considered to avoid persistent anterolateral rotation instability and
failure of the ACL reconstruction.To stabilise the anterolateral corner of the knee, the modified Lemaire procedure as presented and illustrated here is a straight forward surgical technique that can be performed
right after standard ACL reconstruction surgery, if indicated. It is independent from the graft choice for the ACL reconstruction, and the surgical setting in the operating room
remains unchanged.
Cardiac Remodeling in Hypertension: Clinical Impact on Brain, Heart,
and Kidney Function
Authors: Mavrogeni Sophie , Piaditis George , Bacopoulou Flora , Chrousos George P. 
Published: March 2022

AbstractHypertension is the most common causative factor of cardiac remodeling, which, in
turn, has been associated with changes in brain and kidney function. Currently,
the role of blood biomarkers as indices of cardiac remodeling remains unclear.
In contrast, cardiac imaging, including echocardiography and cardiovascular
magnetic resonance (CMR), has been a valuable noninvasive tool to assess cardiac
remodeling. Cardiac remodeling during the course of systemic hypertension is not
the sole effect of the latter. “Remodeling” of other vital
organs, such as brain and kidney, also takes place. Therefore, it will be more
accurate if we discuss about “hypertensive remodeling” involving
the heart, the brain, and the kidneys, rather than isolated cardiac remodeling.
This supports the idea of their simultaneous assessment to identify the early,
silent lesions of total “hypertensive remodeling”. In this
context, magnetic resonance imaging is the ideal modality to provide useful
information about these organs in a noninvasive fashion and without radiation.
For this purpose, we propose a combined protocol to employ MRI in the
simultaneous assessment of the heart, brain and kidneys. This protocol should
include all necessary indices for the evaluation of “hypertensive
remodeling” in these 3 organs, and could be performed within a
reasonable time, not exceeding one hour, so that it remains patient-friendly.
Furthermore, a combined protocol may offer “all in one
examination” and save time. Finally, the amount of contrast agent used
will be limited granted that post-contrast evaluations of the three organs will
be performed after 1 injection.
Peer-to-peer accommodation and resilient hosts in split: the case of Radunica Street.
Authors: Tolić Helena , Matečić Ingeborg 
Published: March 2022

Abstract

Through a qualitative approach, including autoethnography and open-ended interviews, this study focuses on how offline peer-to-peer (P2P)-accommodation trading was used as a post-crisis recovery tool. We focused our study on Radunica Street, situated in the city centre of the Croatian city of Split. We identified the motives that led hosts to engage in offine P2P-accommodation trading and then, eventually, online P2P-accommodation trading and uncovered resilience attributes that characterize these individuals. Community networks and new relationships caused by offline P2P-accommodation trading and the cooperation between hosts and gatherers (locals who searched for tourists) were analysed. Our research explains how this arbitrary and unstable cooperation within the local community shaped its people. Moreover, it led us to a broader definition of the term 'peer-to-peer accommodation' since the results show that on Radunica Street this does not apply only to a 'host-to-tourist' way of doing business. Before paid-online P2P-network platforms entered the Croatian market, this 'peer-to-peer' relationship was actually based on a triangular 'gatherer-host-tourist' cooperation, which has changed the culture of everyday life in the street for good.
Local commitment and withdrawal in the wake of conspicuous Airbnb place dynamics on a cold-water island.
Authors: Röslmaier Michael , Albarrán David 
Published: March 2022

Abstract

In recent years, Airbnb has gained tremendous attention in sense-of-place and community-resilience research. Yet, we find few scholarly efforts to relate particular issues of community resilience to a sense of place that emerges in the wake of conspicuous place dynamics of Airbnb beyond the urban context. In this case study on Heimaey, Iceland, we use geographic information systems (GIS), AirDNA data on Airbnb, and in-depth interviews to address this research gap. We find that as professional Airbnbs concentrate in the 'downtown' (town centre) area, residents mourn over lost pasts with a heightened sense of place that fuels intentions to withdraw. The isolated, casual, Airbnb landscape in the 'residential west', meanwhile, still allows locals to retain stewardship over place meanings, identities and community structure, which translates into increasing commitment out of fear of losing these privileges in the near future. This chapter encourages future research to become concerned with Airbnb developments in non-urban environments where sense of place and community resilience are both intrinsically linked and negotiated by different types of host activities in different locations.
Understanding the Airbnb community and its community impact: the use of scenarios to build resilience.
Authors: Oskam Jeroen 
Published: March 2022

Abstract

This conceptual chapter looks back at two scenario studies of the development of 'home-sharing', and in particular Airbnb, that were conducted in 2015 and 2018, respectively. These studies revolved around analyses of different interpretations and controversies that surrounded the emergent phenomenon: (i) the question, whether 'home-sharing' facilitated a new mode of consumption and, with that, the integration of tourists in resident communities; (ii) the empowering effects Airbnb claimed to have in resident communities; and (iii) the spatial distribution of tourism that 'home-sharing' would cause. These three debates are closely linked to the 'community' concept as it is used by Airbnb. The scenario studies gave insight, at an early stage, into the decisiveness of tourism growth in the eventual development of Airbnb. They also gave an early warning that without transparency local communities would be unable to impose their norms to control the phenomenon's undesirable impacts. The implication is that scenarios can help communities in strategic decision making.
Elections, constituency consultation and political representation in Boko Haram-affected areas in Nigeria
Authors: Omoragbon Osaze , Okhade Nafisatu Irene 
Published: March 2022

ABSTRACT
The Boko Haram insurgency has taken a toll on life in North East Nigeria. This briefing explores the impact of the conflict on elections, constituency consultation and political representation in affected areas. Using data on parliamentary recess, we estimate federal legislators’ consultation time and argue that the insurgency is a setback for participatory democracy.
Annealing-induced hardening of laminated structured nickel fabricated by electrodeposition
Authors: Zhang Jian , Lei Yun , Wang Ning , Yang Ping , Zhu Xinkun , Shu Baipo 
Published: March 2022

Abstract
Annealing of deformed metals is considered as a process which necessarily leads to softening, due to the annihilation of lattice defects. However, in laminated materials, annealing at moderate temperatures may induce hardening. In this study, a laminated structure at two sides of the sample is produced by ultrasonic introduced intermittently for 15 min, during the electrodeposition process. For comparison, a sandwich structure is prepared under ultrasonic without interruption at two sides of the sample. All the samples are annealed for 30 min at 373 K, 473 K and 573 K. The common softening after annealing is observed for the sample without laminated structure in the two sides. However, for the other sample that possesses laminated structure in the same area at the two sides, the strength and ductility increase rather than decrease after annealing. The sample that possesses laminated structure in the same area at the two sides annealed at 373 K shows an evident change, which increases in σ
0.2 from 299 to 353 MPa, in σ
UTS from 477 to 533 MPa, and in ε
ue from 7.6% to 9.5%. According to the XRD results, annealing-induced hardening is not attributable to occurring phase transformation. Detailed microstructural TEM results demonstrate that the annealing-induced hardening is attributed to the surface laminated interfaces and high-density growth twins in interfacial transition zones. In addition, the detwinning occurred during subsequent tensile deformation, also plays a crucial role.
Creation of a pharmacy leadership certificate program for pharmacists and pharmacy technicians using an innovative, low-cost framework
Authors: Wills Robert , Hunt Lindsey , Oswald Chris , Mason Barb , Crawford Lindsay 
Published: March 2022

Abstract

Purpose
To describe the creation of a statewide leadership training program for practicing pharmacists and pharmacy technicians. The 2 overarching goals were to (1) enable learners to develop foundational leadership skills that could be used at their place of work or would enable them to take on a new or advanced role and (2) help foster sustainability within our state pharmacy society through incorporation of the learners on committees and projects, bringing awareness to board member roles and functions. Overall, the program’s mission was to empower practicing pharmacists and pharmacy technicians to take on leadership roles within their organization and the state pharmacy society.

Summary
Leadership training for pharmacists and pharmacy technicians can be variable, elusive, and costly. We provide our experiences in establishing a 1-year leadership certificate program affiliated with the state pharmacy society. In the first 4 years, a total of 15 program fellows have graduated, with 8 more set to finish in September 2022. Since completion of the program, a majority of the graduates have taken on new leadership positions (65% have accepted new leadership positions and 35% have been elected to state pharmacy society board positions).

Conclusion
Implementation of a statewide pharmacy leadership program provided a low-cost, high-value option to develop local leaders, in affiliation with a state pharmacy society.