bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cutting and Adapting Text for the Virtual Performing Landscape
Authors: Malone Toby , Huber Aili 
Published: October 2022

<p>"Cutting is almost inevitable in the process of performing classical texts, for time management; company logistics; structure; or adaptation. Over the last year, as we have written our new book, Cutting Plays for Performance (Routledge, early 2022) we have seen a shift in cutting priorities. When we began, we focused on live physical performance and textual interventions necessary for production concepts and contexts. </p>
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<p>What we--along with the the rest of the world--did not expect was how much changed under the realities of COVID-19. Like so many from our industry, we viewed this shift as an opportunity rather than an impediment, and as companies pivoted to virtual performance, so too did we consider its impact on how plays are cut." -- from p1</p>
Increasing distributed generation hosting capacity in distribution systems via optimal coordination of electric vehicle aggregators
Authors: Quijano Darwin A. , Melgar-Dominguez Ozy D. , Sabillon Carlos , Venkatesh Bala , Padilha-Feltrin Antonio 
Published: October 2022

<p>This work presents a novel strategy, designed from the distribution system operator viewpoint, aimed at estimating the hosting capacity in electric distribution systems when controllable plug-in electric vehicles are in place. The strategy seeks to determine the maximum wind-based distributed generation penetration by coordinating, on a forecast basis, the dispatch of electric vehicle aggregators, the operation of voltage regulation devices, and the active and reactive distributed generation power injections. Different from previous works, the proposed approach leverages controllable features of electric vehicles taking into account technical electric vehicle characteristics, driving behaviour of electric vehicle owners, and electric vehicle energy requirements to accomplish their primary purpose. The presented strategy is formulated as a two-stage stochastic mixed-integer linear programming problem. The first stage maximises the distributed generation installed capacity, while the second stage minimises the energy losses during the planning horizon. Probability density functions are used to describe the uncertainties associated with renewable distributed generation, conventional demand, and electric vehicle driving patterns. Obtained results show that controlling the power dispatched to electric vehicle aggregators can increase the distributed generation hosting capacity by up to 15% (given a 40% electric vehicle penetration), when compared to an uncontrolled electric vehicle approach. </p>
Performance comparison of single and ensemble CNN, LSTM and traditional ANN models for short-term electricity load forecasting
Authors: Kathirgamanathan Arurun , Patel Afzal , Shaharyar Khwaja Ahmed , Venkatesh Bala , Anpalagan Alagan 
Published: October 2022

<p>The authors propose bagged and boosted convolutional neural networks (CNNs) and long short-term memory (LSTM) networks, and compare their performance with the bagged and boosted traditional shallow artificial neural networks (ANNs) for short-term electricity load forecasting. Unlike existing references that mainly compare the performance of ensemble deep learning with single deep learning and machine learning techniques, three further performance comparisons are carried out: (1) bagged CNNs and bagged LSTMs, (2) boosted CNNs and LSTMs, and (3) bagged CNNs and bagged LSTMs, and boosted CNNs and LSTMs. This allows an insight into the individual effects of ensemble learning on CNNs and LSTMs. The proposed models' inputs consist of weather and time-related features in addition to the past load. The use of these features allows CNNs and LSTMs to estimate further complex relationship between them and the load. We implement all these methods and compare their performance on the same New England electricity load forecasting data set via statistical analysis. Effects on the forecasting performance with reduced training data are further shown. The LSTM models have the largest performance variation and are also more sensitive to a reduction in training data. In these models, boosting can improve both prediction accuracy and consistency.</p>
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Value-stack aggregator optimal planning considering disparate DERs technologies
Authors: Mohamed Amr A. , Sabillon Carlos , Golriz Ali A. , Venkatesh Bala 
Published: October 2022

<p>Federal energy regulatory commission (FERC) Order #2222 prescribes that distributed energy resources (DERs) with 100 kW or more capacity in aggregate should be allowed to participate in organized electricity markets. Most aggregation is via a combination of disparate DER technologies such as solar, wind, storage, electric vehicles, and smart load units. Another stumbling block to enabling participation of DERs in organized electricity markets is the energy limitation. However, there is a lack of aggregator models in the literature that gainfully allow aggregation of disparate DER technologies that are energy limited. To address this shortcoming, we proposed a disparate DER aggregator (DDA) planning model here, that overcomes energy limitation of DERs. The DDA planning model considers multiple revenue streams of (1) capacity credits; (2) energy revenues; and (3) ancillary services revenues. The proposed DDA planning model enables disparate DER technologies to collate and provide a firm power capacity and participate in the market capacity auction and receive capacity credits. This comprehensive DDA planning model considers the dynamic/temporary aggregations with other facilities through peer-to-peer (P2P) trade, and maximization of the net present value (NPV) revenues over the planning horizon. The developed model is tested on sample and practical large-scale case studies. Additional sensitivity analyses are performed, demonstrating the favourable performance and the business potential of the developed DDA planning model. </p>
Appliance Scheduling Optimization in Smart Home Networks
Authors: Qayyum Fatima  Abdul , Naaem M. , Khawaja A. S. , Anpalagan Alagan , Guan L. , Venkatesh Bala 
Published: October 2022

<p>In this paper, we propose a solution to the problem of scheduling of a smart home appliance operation in a given time range. In addition to power-consuming appliances, we adopt a photovoltaic (PV) panel as a power-producing appliance that acts as a micro-grid. An appliance operation is modeled in terms of uninterruptible sequence phases, given in a load demand profile with a goal of minimizing electricity cost fulfilling duration, energy requirement, and user preference constraints. An optimization algorithm, which can provide a schedule for smart home appliance usage, is proposed based on the mixed-integer programming technique. Simulation results demonstrate the utility of our proposed solution for appliance scheduling. We further show that adding a PV system in the home results in the reduction of electricity bills and the export of energy to the national grid in times when solar energy production is more than the demand of the home. </p>
Growth-Promoting Supervision: Reflections From Women of Color Psychology Trainees
Authors: Thomas Fiona , Bowie Jhodi-Ann , Hill Lincoln , Taknint Joelle T. 
Published: October 2022

<p>This paper discusses growth-promoting supervisory practices from the perspectives of women of color psychology trainees. Based on three personal narratives, we discuss the unique ways that supervisors invite the multiple salient identities of trainees into the supervisory relationship and engage in a mentorship approach tailored to each trainee. We discuss key themes that emerged across the three narratives: the importance of a supervisor pivoting between the role of the expert and the role of a learner, the value of embracing an attitude of shared responsibility toward promoting trainee growth, and the role of cultural humility in the supervisory relationship. We draw from various theories in framing our work, including Paulo Freire’s theory of conscientização and Atkinson, Morten, and Sue’s (1998) Five-Stage Model of Cultural/Racial Identity Development. We close with situating these impactful supervisory practices within the context of the American Psychological Association’s (2015) “Guidelines for Clinical Supervision in Health Service Psychology.” </p>
Spectral Non-Stationarity in Road Vehicle Vibrations
Authors: Hári László Róbert 
Published: October 2022

Road-induced vibrations are in the scope of various environmental testing protocols, e.g., for packaging vibration testing (PVT) purposes. This field matures with well-understood methods for analyzing amplitude-type non-stationarity (NS) in road vehicle vibrations (RVV). Albeit frequency-type NS is well known, only suggestions are provided for processing the phenomenon in PVT. Both types of NS can be jointly investigated in the time-frequency domain; thus, the current study initiates the investigation of spectral non-stationarities (SNS) in RVV. Three vibration series were recorded from 118 km traveled distance supplying an empirical insight.
ENGENHARIA DIDÁTICA DE FORMAÇÃO E SUAS IMPLICAÇÕES/RESSIGNIFICAÇÕES NA CONSOLIDAÇÃO DA FORMAÇÃO CONTINUADA DOS PROFESSORES DE MATEMÁTICA
Authors: Rios Luana Vasconcelos Soares , Rios Luiz Daniel Alves , PONTE DE AZEVEDO ALBUQUERQUE MARIA JAQUELINE 
Published: October 2022

A Engenharia Didática de Formação (EDF) ou também denominada por Engenharia Didática de 2ª geração tem se configurado como uma metodologia que oportuniza aos professores a criação de dispositivos/ferramentas para o processo de ensino, trazendo em suas vertentes a busca por uma formação continuada de qualidade. Entretanto, observamos ainda uma ausência de capacitação nos processos formativos dos professores, ficando perceptíveis assim, lacunas em suas formações que causam entraves no processo de aprendizagem na disciplina de matemática. Partindo desse pressuposto é que o presente artigo tem por objetivo analisar a contribuição da EDF e refletir acerca das implicações/ressignificações dessa vertente francesa na consolidação do processo de formação continuada para professores de matemática. Para a construção desse processo dialógico será feito através de uma pesquisa qualitativa de cunho bibliográfico. O escopo desse projeto terá como subsídio teórico as pesquisas e estudos de Artigue (1996), Alves (2008), Almouloud (2012), Libâneo (2004), dentre outros que dialogam com a temática estudada. Sendo assim, o artigo traz reflexões a cerca da modelização das práticas do professor sob a perspectiva de uma Engenharia Formação.
Palavras-chave: Engenharia de formação. Formação continuada. Professores de matemática.

ABSTRACT
The Didactic Engineering of Training (EDF) or also called 2nd Generation Didactic Engineering has been configured as a methodology that allows teachers to create devices / tools for the teaching process, bringing in its strands the search for a continuous formation of quality. However, we also observed a lack of training in teachers' training processes, thus becoming noticeable gaps in their training that cause obstacles in the learning process in the mathematics discipline. Based on this assumption, this article aims to analyze the contribution of EDF and reflect on the implications / redefinitions of this French aspect in the consolidation of the process of continuing education for mathematics teachers. For the construction of this dialogical process will be done through a qualitative research of bibliographic nature. The scope of this project will have as theoretical support the research and studies of Artigue (1996), Alves (2008), Almouloud (2012), Libiliar (2004), among others that dialogue with the studied theme. Thus, the article brings reflections about the modeling of teacher practices from the perspective of an Engineering Training.
Keywords: Training engineering. Continuing formation. Mathematics teachers.
Perencanaan Komunikasi Politik Ali Ibrahim Dalam Pemilihan Kepala Daerah Tidore Kepulauan
Authors: Amir Saiful , El Adawiyah Sa’diyah 
Published: October 2022

Komunikasi politik merupakan bagian penting dari setiap aktivitas politik dalam kegiatan Pilkada. Komunikasi politik dipilih sebagai strategi untuk mempengaruhi khalayak karena memiliki keunggulan iklan politik. Tujuan penelitian ini adalah untuk mengetahui perencanaan komunikasi politik Ali Ibrahim dalam Pemilihan Kepala Daerah Tidore Kepulauan 2020 dengan delapan indikator perencanaan komunikasi politik diantaranya analisis masalah, analisis khalayak, perumusan tujuan, pemilihan media, pengembangan pesan, perencanaan produksi media, perencanaan manajemen program, serta monitoring dan evaluasi. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi kasus yang dijabarkan secara deskriptif. Teknik pengumpulan data dengan wawancara dan dokumentasi. Analisis data dilakukan berupa reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa komunikasi politik Ali Ibrahim dalam Pilkada Tidore Kepulauan 2020 yaitu menganalisis khalayak dengan tidak membedakan status sosialnya, analisis khalayak digunakan untuk mengetahui segmentasi dan penggunaan gaya komunikasi Ali Ibrahim, kemudian merumuskan tujuan dalam pelaksanaan komunikasi poltik untuk menentukan media. Kekuatan media menjangkau dan menyebarluaskan khalayak dalam skala besar merupakan kontributor keberhasilan komunikasi politik. Pesan dibangun dan dikemas sesuai dengan khalayak yang dituju serta dikemas dan diproduksi dalam berbagai bentuk pada media masa, media sosial, dan media luar dengan perencanaan pengelolaan program yang baik serta melakukan monitoring dan evaluasi.
Prevalence of dysglycemia and associated risk factors in patients with pancreatic benign and low-grade malignant tumors before pancreatic surgery: A prospective observational study
Authors: Yang Jie , Zhang Jia , Wang Rui , Liu Ya , Chen Yonghua 
Published: October 2022

BackgroundPancreatic benign and low-grade malignant tumors (PBLMT) have experienced a rapid increase in incidence rates worldwide. Few studies have focused on the glucose metabolism status of patients with PBLMT before pancreatic surgery.MethodsFrom August 2017 to June 2018, 70 patients with PBLMT were prospectively screened for abnormalities in glucose metabolism by an oral glucose tolerance test (OGTT) before pancreatic surgery. Patients were classified as having normal glucose tolerance (NGT), prediabetes mellitus (pre-DM), or new-onset DM (NOD) according to the American Diabetes Association (ADA) criteria. Glucose metabolism indices were calculated based on the OGTT parameters. Tumor volume and remnant pancreatic volume (RPV) were measured by computed tomography.ResultsForty-nine of 70 patients with PBLMT developed dysglycemia (pre-DM and NOD). RPV was smaller in the pre-DM (57.44 ± 18.20 cm3 vs. 70.48 ± 14.08 cm3, P = 0.001) and NOD groups (37.38 ± 20.40 cm3 vs. 70.48 ± 14.08 cm3, P &lt; 0.001) than in the NGT group. The homeostasis model assessment of β-cell function (HOMA2-β), insulinogenic index (IGI), and insulin secretion/insulin resistance index (ISSI-2) were worse in the pre-DM and NOD groups compared with NGT group (all P &lt; 0.05). After univariate and multivariate analyses, age over 60 years (P = 0.049, OR = 5.76, 95% CI: 1.01-32.92) and RPV less than 49.36 cm3 (P = 0.024, OR = 8.59, 95% CI: 1.34-55.22) were recognized as independent risk factors for dysglycemia. The analysis of all patients revealed inverse correlations between RPV and both in age (r = -0.28, P = 0.019) and tumor volume (r = -0.28, P = 0.032). Positive correlations were found between RPV and both IGI (r = 0.29, P = 0.019) and ISSI-2 (r = 0.39, P = 0.0011).ConclusionIn patients with PBLMT, 70% had dysglycemia before surgery. Old age and a reduction in RPV were independent risk factors for developing dysglycemia before pancreatic surgery. The decisions to treat PBLMT with resection should hinge more on the risk of dysglycemia as well as potential malignancy.
CAPN8 involves with exhausted, inflamed, and desert immune microenvironment to influence the metastasis of thyroid cancer
Authors: Zhong Xiang , Xu Shu , Wang Quhui , Peng Long , Wang Feiran , He Tianyi , Liu Changyue , Ni Sujie , He Zhixian 
Published: October 2022

BackgroundThyroid cancer (THCA) is the most prevalent malignant disease of the endocrine system, in which 5-year survival can attain about 95%, but patients with metastasis have a poor prognosis. Very little is known about the role of CAPN8 in the metastasis of THCA. In particular, the effect of CAPN8 on the tumor immune microenvironment (TIME) and immunotherapy response is unclear.Material and methodsMultiome datasets and multiple cohorts were acquired for analysis. Firstly, the expression and the prognostic value of CAPN8 were explored in public datasets and in vitro tumor tissues. Then, hierarchical clustering analysis was performed to identify the immune subtypes of THCA according to the expression of CAPN8 and the activities of related pathways. Subsequent analyses explored the different patterns of TIME, genetic alteration, DNA replication stress, drug sensitivity, and immunotherapy response among the three immune phenotypes. Finally, five individual cohorts of thyroid cancer were utilized to test the robustness and extrapolation of the three immune clusters.ResultsCAPN8 was found to be a significant risk factor for THCA with a markedly elevated level of mRNA and protein in tumor tissues. This potential oncogene could induce the activation of epithelial–mesenchymal transition and E2F-targeted pathways. Three subtypes were identified for THCA, including immune exhausted, inflamed, and immune desert phenotypes. The exhausted type was characterized by a markedly increased expression of inhibitory receptors and infiltration of immune cells but was much more likely to respond to immunotherapy. The immune desert type was resistant to common chemotherapeutics with extensive genomic mutation and copy number variance.ConclusionThe present study firstly explored the role of CAPN8 in the metastasis of THCA from the aspects of TIME. Three immune subtypes were identified with quite different patterns of prognosis, immunotherapy response, and drug sensitivity, providing novel insights for the treatment of THCA and helping understand the cross-talk between CAPN8 and tumor immune microenvironment.
Knowledge mapping and current trends of immunotherapy for prostate cancer: A bibliometric study
Authors: Zhong Weibo , Shen Zefeng , Wu Yongxin , Mao Xiangming , Kong Jianqiu , Wu Weixia 
Published: October 2022

BackgroundProstate cancer (PCa) is the second most common malignancy in men worldwide. Growing evidence substantiates the important role of immunotherapy in human tumors. Given that immunotherapy is often unsatisfactory on PCa, many studies have been conducted on PCa immunotherapy to improve treatment efficacy. However, no relevant bibliometric study of PCa immunotherapy has hitherto been reported. A bibliometric analysis was performed to evaluate the global scientific production of PCa immunotherapy research and characterize the development trends for future studies in this article.MethodsThe publications related to PCa immunotherapy were extracted from the Web of Science Core Collection. The contribution and co-occurrence relationships of countries/regions, institutions, journals, references, authors, and keywords were assessed and visualized by VOSviewer and CiteSpace to identify research hotspots and potential future trends.ResultsA total of 3,583 publications related to PCa immunotherapy from 1999 to 2021 were collected. The results of annual publications and citations exhibited a steady increase over the past 22 years. The National Cancer Institute in the USA published far more papers during the study than any institute. Accordingly, the USA had the most publications (n = 1,954, 54.54%). Gulley, James L. had the most number of published papers, and Small, Eric J. was the most co-cited authors in this field. Cancer Immunology Immunotherapy was the most productive journal, with 145 publications on PCa immunotherapy. Keyword cluster and keyword burst analyses showed that research in PCa immunotherapy shifted from “t cell infiltration” and “sipuleucel t” to “immune checkpoint inhibitor”, “CTLA-4”, and “PD-L1 expression”.ConclusionPCa immunotherapy has attracted much attention, reflected by the increasing number of annual publications and citations. Much emphasis has been placed on exploring the complex immunogenicity and tumor microenvironment for PCa and identifying the patient population who can benefit from immunotherapy. Combining immune checkpoint inhibitors with other therapeutic options and cancer vaccines represents the future development trends in PCa immunotherapy.
Bibliometric analysis of tumor necrosis factor in post-stroke neuroinflammation from 2003 to 2021
Authors: Zhao Yang , Zhu Qihan , Bi Chen , Yuan Jichao , Chen Yujie , Hu Xiaofei 
Published: October 2022

ObjectiveTumor necrosis factor (TNF), a crucial cytokine, has important research value in post-stroke neuroinflammation (PSN). We analyzed the studies that have been conducted in this area and used bibliometric methods to predict research hotspots and identify trends regarding TNF in PSN.MethodsPublications were accessed at the Science Citation Index Expanded 1975-2021 (SCI expanded), Web of Science Core Collection (WoSCC), on May 1, 2022. Additionally, software such as CiteSpace and VOSviewer were utilized for bibliometric analyses.ResultsIn total, 1391 original articles and reviews on TNF in PSN published from 2003 to 2021 were identified. An upward trend was observed in the number of publications on TNF in PSN. These publications were primarily from 57 countries and 1446 institutions, led by China and the United States with China leading the number of publications (NP) and the US with the number of citations (NC). The League of European Research Universities (LERU) and Journal of Neuroinflammation, respectively were the most prolific branches and journals. Zhang, John H. published the most papers and Finsen, Bente had the most cited papers. One paper by Kettenmann, H. published in 2011 reached the highest level of Global Citation Score (GCS). The keyword co-occurrence and reference co-citation analyses suggest that poststroke therapy and potential mechanistic pathways are important topics related to PSN in recent years. Reference burst detection suggests new burst hotspots after 2015, focusing on pathway modulation and discovery of therapeutic targets, suggesting a substantial development in the study of TNF in PSN research.ConclusionThe present bibliometric analysis shows a continuous trend of increasing literature related to TNF in PSN, and shows that TNF plays an important role in PSN involves multiple immune mechanisms and may contribute as a potential target for neuroprotective therapeutics after stroke. Prior to 2011, most of the research was focused on discovering the specific role of TNF in PSN, and in recent years studies have mainly targeted the exploration of the signaling pathways. Future research prospects may lie in finding key therapeutic targets in pathway of TNF in PSN.