bluuebunny/crossref_metadata_2025_split huggingface dataset:
Polyvinylidene fluoride, an advanced futuristic smart polymer material: A comprehensive review
Authors: Nivedhitha Durgam Muralidharan , Jeyanthi Subramanian 
Published: November 2022

AbstractThere was a fast development of various piezoelectric materials in the past two decades due to their numerous applications. Piezoelectric materials made up of natural quartz crystals were used in ultrasonic detectors in the early days. Later, the modern synthetic piezoelectric materials known as ferroelectric ceramics, such as Lead zirconate titanate (PZT), were developed, which were capable of exhibiting piezoelectricity several times greater than natural crystals. Later, the declination of ceramics began as they contained large amounts of lead content, which was considered harmful to both humans and the environment. Finally, a new era in the history of piezoelectric materials boomed with the outbreak of polymer materials. Polyvinylidene fluoride (PVDF) is a piezoelectric polymer material that has drawn the attention of researchers, from the family of fluoropolymers and has paved a new path in the field of polymer science and technology. PVDF has earned the renown of being an excellent piezoelectric material due to its unique and versatile exhibition of piezoelectric and dielectric properties. Furthermore, PVDF can exhibit incredible thermal stability and mechanical strength with flexible processing and low cost compared with the other piezoelectric crystals and ceramics. This comprehensive review mainly focuses on the evolution of piezoelectric materials from crystals to polymers with their advantages and significant drawbacks. Thus, the main objective of this review is to present a detailed description of PVDF concerning its uniqueness as a piezoelectric material and versatile properties, followed by various advanced fabrication techniques and their impact on doping various nanofillers with respective applications. Though PVDF is renowned for its significant applications such as sensors, actuators, energy harvesting and biomedical devices, a tabular chart has been specially framed in one‐liners which highlights the real‐time experimental outcomes where PVDF can be specified as a futuristic polymer for multifunctional applications. A few reports resulted that with increasing graphite and MWCNT fillers into PVDF film, the EMI shielding effectiveness value rose to 14.64 dB at a frequency of 8‐12 Hz. A few reports resulted that by adding ZnO and BaTiO3, the electrical output increased significantly, which is more suitable as a nanogenerator. After an extensive literature survey, we found that reviews are very limited and restricted to specific applications and properties. This review is an overall brief explanation of enormous research works carried out by various experts and presented in a modest way with pictorial and tabular representation for the convenience of researchers. Finally, this review attempts to provide source material to direct researchers towards a fertile area of research with a better understanding of the fundamentals and advancement of polymer piezoelectric materials.
Rapid prediction and analysis of protein intrinsic disorder
Authors: Dayhoff Guy W. , Uversky Vladimir N. 
Published: November 2022

AbstractProtein intrinsic disorder is found in all kingdoms of life and is known to underpin numerous physiological and pathological processes. Computational methods play an important role in characterizing and identifying intrinsically disordered proteins and protein regions. Herein, we present a new high‐efficiency web‐based disorder predictor named Rapid Intrinsic Disorder Analysis Online (RIDAO) that is designed to facilitate the application of protein intrinsic disorder analysis in genome‐scale structural bioinformatics and comparative genomics/proteomics. RIDAO integrates six established disorder predictors into a single, unified platform that reproduces the results of individual predictors with near‐perfect fidelity. To demonstrate the potential applications, we construct a test set containing more than one million sequences from one hundred organisms comprising over 420 million residues. Using this test set, we compare the efficiency and accessibility (i.e., ease of use) of RIDAO to five well‐known and popular disorder predictors, namely: AUCpreD, IUPred3, metapredict V2, flDPnn, and SPOT‐Disorder2. We show that RIDAO yields per‐residue predictions at a rate two to six orders of magnitude greater than the other predictors and completely processes the test set in under an hour. RIDAO can be accessed free of charge athttps://ridao.app.
A one‐step multiplex PCR assay for the detection and differentiation of four species of Clarireedia causing dollar spot on turfgrass
Authors: Zhang Huangwei , Liu Jun , Dong Yinglu , Hu Jian , Lamour Kurt , Yang Zhimin 
Published: November 2022

AbstractBACKGROUNDDollar spot (DS) is one of the most destructive and economically important diseases of cool‐ and warm‐season turfgrasses worldwide. A total of six species causing DS disease in the genus Clarireedia have been described, and four of them have been reported to be distributed countrywide in China. Identification of different species of Clarireedia is a prerequisite for the effective management of DS disease.RESULTSHere we report a novel polymerase chain reaction (PCR)‐based method for the detection and differentiation of the four species of Clarireedia associated with DS on turfgrass in China: C. jacksonii, C. paspali, C. monteithiana and C. hainanense. Species‐specific genes were identified for each species by comparative genomics analysis. Four primer pairs were designed and mixed to amplify species‐specific PCR fragments with differential sizes for the four species of Clarireedia in a single multiplex PCR assay. No PCR products were generated from the DNA templates of other common fungal pathogens associated with multiple turfgrass diseases. The multiplex PCR method developed can be used for the rapid and accurate detection and differentiation of the four species of Clarireedia from pure cultures as well as from infected turfgrass blades with DS symptoms.CONCLUSIONThe study developed a one‐step multiplex PCR assay for the detection and differentiation of four species of Clarireedia causing DS on turfgrass in China, which will have important implications for DS management in China and worldwide. © 2022 Society of Chemical Industry.
Synthesis and activity‐detection of photoswitchable ligands with fipronil to insect
Authors: Hou Qing‐Qing , Huang Qiu‐Tang , Xu Qi , Zhou Cong , Du Yao‐Yao , Ji Yun‐Fan , Xu Zhi‐Ping , Cheng Jia‐Gao , Zhao Chun‐Qing , Li Zhong , Shao Xu‐Sheng 
Published: November 2022

AbstractBACKGROUNDIonotropic γ‐aminobutyric acid (GABA) receptor (GABAR) in an insect is the major inhibitory receptor and is one of the most important targets for insecticides. Due to the high spatiotemporal resolution of GABAR, the photopharmacological ligands acting on it in vertebrates but not insect have been developed.RESULTSIn this study, two types of photochromic ligands (PCLs) including DTFIPs (DTFIP1 and DTFIP2) and ABFIPs (p‐, m‐, and o‐ABFIP) were synthesized by incorporating photoswitch azobenzene or dithienylethene into fipronil (FIP), which is the antagonist of insect GABAR. Their photomodulation was measured by mosquito larval behavior, and their potential action mechanism was explored by the two‐electrode voltage clamp (TEVC) technique in vitro. DTFIP1 and m‐ABFIP exhibited the most significant difference of insecticidal activity by about 90‐ and 5‐fold to mosquito larvae between non‐irradiated and irradiated formation, respectively, and allowed for optical control of mosquito swimming activity. TEVC assay results indicated that m‐ABFIP and DTFIP1 enable optical control over the homomeric LsRDL‐type GABAR, which is achieved by regulating the chloride channel of resistance to dieldrin (RDL)‐type GABAR by photoisomerization.CONCLUSIONOur results suggested that PCLs synthesized from fipronil provide an alternative and precise tool for studying insect ionotropic GABARs and GABA‐dependent behavior. © 2022 Society of Chemical Industry.
What have we learned about health effects more than 40 years after the Three Mile Island nuclear accident? A scoping and process review
Authors: Wilson Robin T. , LaBarge Brandon L. , Stahl Lauren E. , Goldenberg David , Lyamzina Yuliya , Talbott Evelyn O. 
Published: November 2022

AbstractThe worst commercial nuclear accident and the first large‐scale voluntary evacuation due to a nuclear event in United States history took place at Three Mile Island (TMI) in 1979. Within a short time, there was a well‐recognized impact of the TMI accident by public health officials and academicians upon mental health of nearby residents—particularly pregnant women. Despite long‐term and detailed follow‐up of this population for cancer outcomes, community concerns continue. Herein, we conduct a scoping and process review of fetal/maternal/child health (MCH) and cancer health outcomes, and consider the findings in light of subsequent accidents. The process evaluation is enhanced by unpublished transcripts of the Pennsylvania Department of Health's (PA DOH) TMI Advisory Panel on Health Research Studies (APHRS), comprised of experts from prominent US research institutions. Research and process strengths included a rapid initial house‐to‐house health census of over 35,000 individuals, intense medical record reviews, in‐person interviews of pregnant women within a 10‐mile radius, and coordination of multiple parallel studies by PA DOH with APHRS collaboration. Major limitations include (1) errors in causal inference, (2) limited radiation exposure assessment, (3) failure to include TMI never‐exposed groups in risk estimates, (4) exclusion of vulnerable populations, (5) nonindexed/never published investigations, and (6) government‐stated need for long‐term MCH follow‐up that was never conducted. Lingering unaddressed actual and perceived risks were identified as major common themes among TMI, Chernobyl and Fukushima accidents. These findings underscore the need for the establishment of mechanisms to ensure long‐term follow‐up and preaccident protocols designed to address major health issues with inclusion of vulnerable populations and perceived risks.
Human Papillomavirus Type 7 Identified in Digitated Warts on Facial Seborrhoeic Eczema of a Non-Butcher Immunocompetent Individual
Authors: Izumi Yuko , Kawase Masaaki , Egawa Kiyofumi 
Published: November 2022

Abstract
Human papillomavirus type 7 (HPV7) is frequently found in butchers' warts and has been demonstrated in several warts of immunocompromised hosts. HPV7 is rarely identified in non-butchers' warts, especially in individuals with normal immune status. We describe the first case of multiple HPV7-induced digitated warts which were developed on the face of a 68-year-old Japanese man, whose immune status was normal and who had no history of meat handling. Interestingly, the warts were developed exclusively on the skin affected with seborrhoeic eczema in the face, suggesting that some biologically active factors associated with seborrhoeic eczema and anatomical factors of sun-exposed facial skin might contribute to the development of HPV7-induced warts.
Stabilizing Interface pH by Mixing Electrolytes for High‐Performance Aqueous Zn Metal Batteries
Authors: Jin Shirui , Duan Fengxue , Wu Xiaoyu , Li Junpeng , Dan Xinxing , Yin Xiuxiu , Zhao Kangning , Wei Yingjin , Sui Yongming , Du Fei , Wang Yizhan 
Published: November 2022

AbstractAqueous zinc metal batteries with mild acidic electrolytes are considered promising candidates for large‐scale energy storage. However, the Zn anode suffers from severe Zn dendrite growth and side reactions due to the unstable interfacial pH and the absence of a solid electrolyte interphase (SEI) protective layer. Herein, a novel and simple mixed electrolyte strategy is proposed to address these problems. The mixed electrolytes of 2 M ZnSO4 and 2 M Zn (CF3SO3)2 can efficiently buffer the interfacial pH and induce the in situ formation of the organic‐inorganic SEI layer, which eliminates dendrite growth and prevents side reactions. As a result, Zn anodes in mixed electrolyte exhibit a lifespan enhancement over 400 times, endure stable cycling over 270 h at a high DOD of 62% and achieve high Zn plating/stripping reversibility with an average CE of 99.5% for 1000 cycles at 1 mA cm−2. The findings pave the way for developing practical electrolyte systems for Zn batteries.
Disclosing the Redox Pathway Behind the Excellent Performance of CuS in Solid‐State Batteries
Authors: Mullaliu Angelo , Hosseini Seyed Milad , Conti Paolo , Aquilanti Giuliana , Giorgetti Marco , Varzi Alberto , Passerini Stefano 
Published: November 2022

AbstractCopper sulfide has attracted increasing attention as conversion‐type cathode material for, especially, solid‐state lithium‐based batteries. However, the reaction mechanism behind its extraordinary electroactivity is not well understood, and the various explanations given by the scientific community are diverging. Herein, the CuS reaction dynamics are highlighted by examining the occurring redox processes via a cutting‐edge methodology combining X‐ray absorption fine structure spectroscopy, and chemometrics to overcome X‐ray diffraction limitations posed by the poor material's crystallinity. The mathematical approach rules out the formation of intermediates and clarifies the direct conversion of CuS to Cu in a two‐electron process during discharge and reversible oxidation upon delithiation. Two distinct voltage regions are identified corresponding to Cu‐ as well as the S‐redox mechanisms occurring in the material.
Oxygen Evolution Electrocatalysts for the Proton Exchange Membrane Electrolyzer: Challenges on Stability
Authors: Lin Hao Yang , Lou Zhen Xin , Ding Yeliang , Li Xiaoxia , Mao Fangxin , Yuan Hai Yang , Liu Peng Fei , Yang Hua Gui 
Published: November 2022

AbstractHydrogen generated by proton exchange membrane (PEM) electrolyzer holds a promising potential to complement the traditional energy structure and achieve the global target of carbon neutrality for its efficient, clean, and sustainable nature. The acidic oxygen evolution reaction (OER), owing to its sluggish kinetic process, remains a bottleneck that dominates the efficiency of overall water splitting. Over the past few decades, tremendous efforts have been devoted to exploring OER activity, whereas most show unsatisfying stability to meet the demand for industrial application of PEM electrolyzer. In this review, systematic considerations of the origin and strategies based on OER stability challenges are focused on. Intrinsic deactivation of the material and the extrinsic balance of plant‐induced destabilization are summarized. Accordingly, rational strategies for catalyst design including doping and leaching, support effect, coordination effect, strain engineering, phase and facet engineering are discussed for their contribution to the promoted OER stability. Moreover, advanced in situ/operando characterization techniques are put forward to shed light on the OER pathways as well as the structural evolution of the OER catalyst, giving insight into the deactivation mechanisms. Finally, outlooks toward future efforts on the development of long‐term and practical electrocatalysts for the PEM electrolyzer are provided.
The emergence and maturation of student affairs assessment
Authors: Henning Gavin , Bentrim Erin 
Published: November 2022

AbstractIn this article, we will discuss the historical roots of student affairs assessment. The first part of this article will review the emergence of assessment in higher education including student affairs assessment and will follow with a discussion of the evolution of the field including growth and changes in positions over time. Next, the role of professional associations in developing the field, including the creation of standards for professional practice and individual competencies will be addressed. We include a section on the history of the Council for the Advancement of Standards (CAS) and the role the organization played in program evaluation becoming an integral part of student affairs assessment. Lastly, we briefly discuss professional development opportunities and the growth of scholarship in the field.
The community college: Building a culture of assessment
Authors: Peterson Robert D. , Cisarik De Jesus Nicci , Salgado‐Rodriguez Esperanza 
Published: November 2022

AbstractThis article examines the impetus and benefit of establishing a strong assessment culture at the community college level––institutions serving incredibly diverse student populations with fewer resources than their 4‐year counterparts. Best practices and lessons learned from a suburban Chicago community college serve as an example for other community colleges to assist in their pursuit of a strong assessment culture. In order to be successful in its implementation and long‐term health, community college assessment within the student affairs level must be student‐focused while carefully leveraging limited resources.
Assessment of co‐curricular support in predominantly online learning environments
Authors: Paton Valerie O. , Louder Justin R. 
Published: November 2022

AbstractThis article provides resources for assessing co‐curricular support for student learning in predominantly online learning environments. For the use of practitioners, the article provides a summary of applicable frameworks, definitions, resources, student characteristics, needs assessment, best practices in assessment for online learners, and use for improvement strategies.
Centering theories of learning to design humanizing pedagogies and inclusive assessments
Authors: Paguyo Christina H. , Sponsler Laura E. , Iturbe‐LaGrave Valentina 
Published: November 2022

AbstractIn this article, we offer a blueprint that connects learning, humanizing pedagogies, and inclusive assessment to foster equity in higher education. First, we build upon extant literature to infuse sociocultural theories in our reimagination of learning. Second, we articulate how inclusive pedagogical practices bring strong potential to humanize campus learning systems. Third, we share strategies for educators to enact inclusive assessment based upon conceptualizations of learning and inclusive pedagogies. Our hope is for readers to consider inclusive assessment as one tool for iteratively redesigning a powerful learning environment where students are supported, affirmed, valued, and validated as their whole selves.
Sensorbasierte Identifikation der Struktursteifigkeit zur Bemessung von Stahltragwerken
Authors: Kraus Matthias , Chowdhury Sharmistha 
Published: November 2022

AbstractFür die Zustandsüberwachung werden Ingenieurbauwerke zunehmend durch Monitoringsysteme ausgestattet. Besonders deutlich wird dies bei Infrastrukturbauwerken des Straßenverkehrsnetzes, da entsprechende Brücken durch die gestiegene Verkehrsstärke und Lastintensität häufig höher beansprucht werden, als das im ursprünglichen Planungsprozess berücksichtigt werden konnte. Zukünftig werden durch Sensorsysteme ausgestattete „intelligente Bauwerke“ verstärkt dazu beitragen, ein besseres Verständnis zum Tragverhalten und zum Bauwerkszustand zu gewinnen. Die sachgerechte Interpretation der Monitoringdaten sowie deren Berücksichtigung bei der Bemessung von Tragwerken sind stets anspruchsvoll und mit Herausforderungen verbunden. Dieser Thematik widmet sich der vorliegende Beitrag. Es wird gezeigt, wie das Tragverhalten einer Struktur durch Sensordaten und mithilfe eines Bayesschen Ansatzes präzisiert und dies im semiprobabilistischen Sicherheitskonzept des Eurocode berücksichtigt werden kann.
Effect of strength grade on mechanical properties of concrete under dynamic load
Authors: Wang Zhihang , Bai Erlei , Huang He , Ren Biao 
Published: November 2022

AbstractThe uniaxial compression test and dynamic compression test of C30, C50, and C80 concrete were carried out. The effects of strength grade and strain rate () on dynamic mechanical properties of concrete were analyzed in terms of dynamic compressive strength, dynamic increase factor (DIF), dynamic peak strain, and dynamic peak toughness. And the strain rate sensitivity of mechanical indexes and DIF fitting model of concrete with different strength grades were explored. The results show that the dynamic compressive strength, DIF and dynamic peak toughness of concrete with different strength grades all have obvious strain rate effects. With the increase of strength grade of concrete, the dynamic peak strain of concrete decreases continuously, and the strain rate sensitivity of dynamic compressive strength and dynamic peak toughness of concrete increases continuously. The mechanical indexes of C80 concrete have the strongest sensitivity to the strain rate. The DIF empirical formula of Comite Euro‐International du Beton (CEB) cannot fit the DIF of C30 and C80 concrete effectively. There is a critical strain rate beyond which the strain rate effect of DIF is significantly enhanced. With the increase of strength grade of concrete, the critical strain rate of concrete decreases continuously. The piecewise linear fitting of DIF and of concrete with different strength grades shows good results.
Computational methods for the analysis of climate change communication: Towards an integrative and reflexive approach
Authors: Schäfer Mike S. , Hase Valerie 
Published: November 2022

AbstractComputational methods, in particular text‐as‐data or Natural Language Processing (NLP) approaches, have become popular to study climate change communication as a global and large‐scale phenomenon. Scholars have discussed opportunities and challenges of these methods for climate change communication, with some proponents and critics taking strong positions, either embracing the potential of computational methods or critically questioning their value. Mirroring developments in the broader social scientific debate, we aim to bring both sides together by proposing a reflexive, integrative approach for computational research on climate change communication: We reflect on strengths (e.g., making data big and small, nowcasting observations) and weaknesses (e.g., introducing empiricist epistemologies, ignoring biases) of computational approaches. Moreover, we also provide concrete and constructive guidance on when and how to integrate (or not integrate) these methods based on theoretical considerations. We thereby understand computational methods as part of an ever‐increasing, diverse toolbox for analyzing climate change communication.This article is categorized under:
The Social Status of Climate Change Knowledge > Knowledge and Practice
The Social Status of Climate Change Knowledge > Sociology/Anthropology of Climate Knowledge