bluuebunny/crossref_metadata_2025 huggingface dataset:
Efficient Privacy-Preserving Data Aggregation Scheme with Fault Tolerance in Smart Grid
Authors: Ming Yang , Li Yabin , Zhao Yi , Yang Pengfei
Published: January 2022

As the traditional grid produces a large amount of greenhouse gas and cannot adapt to such new demands as dynamic electricity prices, data analysis, and early warning, smart grid with high efficiency and reliability is increasingly valued. It plays a key role in achieving carbon neutrality. Nonetheless, smart grid requires the collection of real-time power data, and personal privacy may be leaked through the frequent electricity measurement reports. With the requirements of data analysis and prediction while preserving users’ personal privacy, data aggregation schemes have emerged. However, existing schemes cannot resolve all the troubles well. Some schemes do not consider the failures for smart meters, and most of the schemes have expensive computation cost. In view of this, an efficient privacy-preserving data aggregation scheme with fault tolerance in smart grid is put forward in this paper. To be specific, the proposed scheme is lightweight due to the application of the symmetric homomorphic encryption technology and the elliptic curve cryptography. Even if some smart meters are destroyed, the proposed scheme can still successfully obtain aggregated data. Moreover, the proposed data aggregation scheme is proved to be secure, and all security requirements can be satisfied. Performance evaluation illustrates the relatively low computation cost and communication overhead of the proposed scheme compared to other related schemes.
[Retracted] Analysis of Intelligent Translation Systems and Evaluation Systems for Business English
Authors: Chen Jianhong
Published: January 2022

In order to improve the accuracy of automatic translation of business English, an optimized design of business English translation teaching platform is proposed based on the logistic model combined with deep learning. After using the logistic model to analyze the semantic features of business English translation, the deep learning model is used to segment and mine English images, and the automated lexical feature analysis of business English translation is carried out by using contextual feature matching and adaptive semantic variable finding methods to extract the amount of correlation features between words and vocabulary and to correct the differences in translation in a specific business context to improve the accuracy of English translation. The software design of the platform is carried out under the logistic model, and the platform is mainly divided into a vocabulary database module, an English information processing module, a web interface module, and a human‐computer interaction interface module. The test results show that the accuracy of business English translation using this method is good, and the automatic translation capability is strong.
Research on the Propagation Law of Stress Wave in Rock Mass Supported by Bolt under Dynamic Load
Authors: Chen Feng , Wang Xue-bin , Wang Jun-guang
Published: January 2022

At present, the development of bolt support technology is in the ascendant period, which is of great significance to promote the development of geotechnical engineering. The numerical simulation software RFPA (Rock Failure Process Analysis) has been used to analyze the reinforcement effect of bolt on deep surrounding rock under dynamic load and conduct a comprehensive research on the force state of bolt. The characteristics of stress and displacement change in rock mass and bolt caused by stress wave are compared when the surrounding rock of underground chamber is supported with bolt or not. Numerical experimental results show that, under the action of dynamic load, the high stress area in surrounding rock can be transferred to the interior of rock mass by adding bolt to the surrounding rock of a high ground stress underground chamber, and the displacement value of each segment of bolt is basically the same. Moreover, the acoustic emission (AE) energy and AE count released by surrounding rock have been able to be reduced, and the force pattern of surrounding rock has been changed.
Analysis of Carotid Ultrasound Screening of High-Risk Groups of Stroke Based on Big Data Technology
Authors: Guo Jiankang , Bai Yanhong , Ding Minxia , Song Lisha , Yu Guo , Liang You , Fan Zhigang
Published: January 2022

In order to understand detection of carotid atherosclerosis in the screening of high-risk stroke populations in a certain area of China, we have analyzed related risk factors of CAS. In accordance with the requirements of the “2015 Technical Plan for the Screening and Intervention Projects for High-Risk Stroke Populations,” a cluster sampling method was used to select 4532 (number of screened persons from 2015 to 2021) permanent residents over 41 years old (一) in Shaheying Town, Liulin Town, Chenggu County, Hanzhong City, Shaanxi Province, and Da’an Town, Ningqiang County, and nearby communities are selected as the screening targets. We screened out high-risk groups of stroke based on big data technology and understood the detection of CAS. According to the screening results of big data technology, it was divided into two groups: CAS group and non-CAS group. The basic information, medical history, personal lifestyle, physical examination, and laboratory examination results of the two groups were classified and counted. The measurement data such as age and waist circumference of the two groups were tested by two independent samples, and the count data of gender, stroke history, hypertension, and other data were tested by the

χ

2

test of the four-table data, and the logistic regression model was used to analyze the risk factors for CAS of population at high risk of stroke. The results proved the following: (1) Among the 4532 screeners, 865 cases were screened out of the high-risk population of stroke, with an average age of (58.5 ± 8.3) years, mainly 59 to 68 years old, accounting for 43.8%, and the male-to-female ratio was 1.6 : 1. (2) The detection rates of CAS, intimal thickening, plaque formation, and stenosis among high-risk groups of stroke were 55.5%, 10.2%, 52.2%, and 32.6%, respectively. (3) Among the high-risk groups of stroke, CAS patients have a history of stroke, the proportion of hypertension, age, total cholesterol, and low-density lipoprotein cholesterol levels that are higher than those in the non-CAS group, and the difference is statistically significant. (4) Logistic regression analysis shows that age, diabetes, and low-density lipoprotein cholesterol are independent risk factors for CAS in the high-risk population of stroke in this area.
An Automatic Driving Control Method Based on Deep Deterministic Policy Gradient
Authors: Zhang Haifei , Xu Jian , Qiu Jianlin
Published: January 2022

The traditional automatic driving behavior decision algorithm needs to manually set complex rules, resulting in long vehicle decision-making time, poor decision-making effect, and no adaptability to the new environment. As one of the main methods in the field of machine learning and intelligent control in recent years, reinforcement learning can learn reasonable and effective policies only by interacting with the environment. Firstly, this paper introduces the current research status of automatic driving technology and the current mainstream automatic driving control methods. Then, it analyzes the characteristics of convolutional neural network, reinforcement learning method (

Q

-learning), and deep

Q

network (DQN) and deep deterministic policy gradient (DDPG). Compared with the DQN algorithm based on value function, the DDPG algorithm based on action policy can well solve the continuity problem of action space. Finally, the DDPG algorithm is used to solve the control problem of automatic driving. By designing a reasonable reward function, deep convolution network, and exploration policy, the intelligent vehicle can avoid obstacles and, finally, achieve the purpose of avoiding obstacles and running the whole process in a 2D environment.
Invoice Detection and Recognition System Based on Deep Learning
Authors: Yao Xunfeng , Sun Hao , Li Sijun , Lu Weichao
Published: January 2022

With the development of economy and information technology, a large amount of invoice information has been produced. As one of the important components of the industrial Internet of Things, the recognition of invoice information is urgent to realize its intelligent recognition. Most invoice issuing units basically adopt traditional manual identification methods for the processing of invoices. As the number of invoices increases, problems such as low efficiency in identifying invoice information, error-prone, and difficulty in ensuring security frequently appear. In response to the above problems, this paper designs and implements an invoice information recognition system based on deep learning. The system first solves the problems of low image contrast and lack of image due to poor lighting or noise effects by image preprocessing methods such as image graying and normalization. Second, a target detection and invoice recognition method based on the combination of YOLOv3 + CRNN two models is proposed, and an end-to-end invoice information recognition model is obtained. Finally, the model is used to develop an invoice detection and recognition system based on deep learning. Experiments have verified that the system has the characteristics of high recognition accuracy and high efficiency, which can accurately identify invoice content information and reduce the loss of manpower and material resources.
Liensinine Inhibits Osteosarcoma Growth by ROS-Mediated Suppression of the JAK2/STAT3 Signaling Pathway
Authors: Jia Fei , Liu Yu , Dou Xinyu , Du Chuanchao , Mao Tianli , Liu Xiaoguang
Published: January 2022

Osteosarcoma (OS) is the most common malignancy of bone. Liensinine exerts antitumor effects on cancers of the colon, breast, and gallbladder. However, its antitumor activity in OS remains unclear. This study is aimed at investigating the efficacy of liensinine against OS and the underlying mechanism of action. Cell proliferation, apoptosis, and cycle arrest in OS were detected using the Cell Counting Kit-8 (CCK-8), colony formation, and flow cytometry assays, respectively. The production of reactive oxygen species (ROS), glutathione (GSH) and glutathione disulfide (GSSG) concentrations, and mitochondrial membrane potential (MMP) of OS cells were measured by flow cytometry, colorimetry, and JC-1 staining. The expressions of factors related to apoptosis, cell cycle, and activation of the JAK2/STAT3 pathway were determined by Western blotting. To examine the potential role of ROS, an antioxidant (N-acetyl cysteine, NAC) was used in combination with liensinine. In vivo, we generated a xenograft mouse model to assess its antitumor efficacy. Tissue level expressions of factors related to apoptosis and activation of the JAK2/STAT3 pathway were assessed by immunohistochemistry or Western blotting. Liensinine inhibited the proliferation and induced G0/G1 phase arrest and apoptosis of OS cells in a dose-dependent manner. Additionally, liensinine promoted intracellular ROS production, enhanced the GSSG/GSH ratio, and induced MMP loss and ROS-mediated suppression of the JAK2/STAT3 pathway. NAC significantly attenuated the liensinine-induced antitumor activities and activated the JAK2/STAT3 pathway. In vivo, liensinine effectively inhibited the OS growth and promoted apoptosis; however, it had no negative effect on the internal organs. In conclusion, liensinine-induced ROS production could suppress the activation of the JAK2/STAT3 pathway and inhibit the OS growth both in vivo and in vitro. Our findings provided a new rationale for subsequent academic and clinical research on OS treatment.
Functional New Transcription Factors (TFs) Associated with Cervical Cancer
Authors: Jiang Yicheng , Chen Shi
Published: January 2022

The goal of this research was to find noval transcription factors (TFs) that are involved in cervical carcinogenesis. The Gene Expression Omnibus (GEO) database was utilized to analyze ten cervical cancer datasets using the Robust Rank Aggregation (RRA) technique. Survival and differential expression were validated using GEPIA (Gene Expression Profiling Interactive Analysis). The transcriptional regulatory network and putative targets were built using Cytoscape. A real-time PCR (quantitative real-time polymerase chain reaction) experiment was used to confirm the mRNA expression. Using public cervical cancer single-cell RNA-sequencing (scRNA-seq), bulk TCGA-CESC RNA-seq, and microarray datasets, coexpression correlations between putative targets and TFs were confirmed. After combining the results of 10 datasets, 8 TFs, including EMX2 (Empty Spiracles Homeobox 2), were chosen among 385 robust DEGs. In the normal female reproductive tract, EMX2 is extensively expressed, but it is reduced in cervical cancer. Overexpression EMX2 suppresses the proliferation of HeLa cells. 12 potential targets of EMX2 were selected. Our research has revealed evidence that EMX2 acted as a tumor suppressor in cervical cancer and PDZRN3 might be possible target of EMX2 in cervical cancer. It might be a therapeutic target in the future.
[Retracted] EM Algorithm for Estimating the Parameters of Quasi‐Lindley Model with Application
Authors: Kayid M. , Al-Maflehi Nassr S.
Published: January 2022

The quasi‐Lindley distribution is a flexible model useful in reliability analysis, management science, and engineering analysis. In this paper, an expectation‐maximization (EM) algorithm was applied to estimate the parameters of this model for uncensored and right‐censored data. Simulation studies show that the estimates of EM perform better than maximum likelihood estimates (MLEs) for both uncensored and censored data. In an illustrative example, the waiting times of a bank’s customers are analyzed and the estimator of the EM algorithm is compared with the MLE. The analysis of the data can be useful for the management of the bank.
Truthful Profit Maximization Mechanisms for Mobile Crowdsourcing
Authors: Qiao Yu , Zhang Jie , He Qiangqiang , Gu Yi , Wu Jun , Zhang Lei , Wang Chongjun
Published: January 2022

Crowdsourcing is an effective tool to allocate tasks among workers to obtain a cumulative outcome. Algorithmic game theory is widely used as a powerful tool to ensure the service quality of a crowdsourcing campaign. By this paper, we consider a more general optimization objective for the budget-free crowdsourcer, profit maximization, where profit is defined as the difference between the benefit obtained by crowdsourcer and payments to workers. Based on the framework of random sampling and profit extraction, we proposed a strategy-proof profit-oriented mechanism for our problem, which also satisfies computational tractability and individual rationality and has a performance guarantee. We also extend the profit extract algorithm to the online case through a two-stage sampling. Also, we study the setting in which workers are not trusted, and untrustworthy workers would infer others’ true type. For untrustworthy workers, we introduce a differentially private mechanism, which also has desired properties. Finally, we will conduct numerical simulations to show the effectiveness of our proposed profit maximization mechanisms. By this work, we enrich the class of competitive auctions by considering a more general optimization objective and a more general demand valuation function.
ATR Inhibitor AZD6738 (Ceralasertib) Exerts Antitumor Activity as a Monotherapy and in Combination with Chemotherapy and the PARP Inhibitor Olaparib
Authors: Wilson Zena , Odedra Rajesh , Wallez Yann , Wijnhoven Paul W.G. , Hughes Adina M. , Gerrard Joe , Jones Gemma N. , Bargh-Dawson Hannah , Brown Elaine , Young Lucy A. , O'Connor Mark J. , Lau Alan
Published: January 2022

AZD6738 (ceralasertib) is a potent and selective orally bioavailable inhibitor of ataxia telangiectasia and Rad3-related (ATR) kinase. ATR is activated in response to stalled DNA replication forks to promote G2–M cell-cycle checkpoints and fork restart. Here, we found AZD6738 modulated CHK1 phosphorylation and induced ATM-dependent signaling (pRAD50) and the DNA damage marker γH2AX. AZD6738 inhibited break-induced replication and homologous recombination repair. In vitro sensitivity to AZD6738 was elevated in, but not exclusive to, cells with defects in the ATM pathway or that harbor putative drivers of replication stress such as CCNE1 amplification. This translated to in vivo antitumor activity, with tumor control requiring continuous dosing and free plasma exposures, which correlated with induction of pCHK1, pRAD50, and γH2AX. AZD6738 showed combinatorial efficacy with agents associated with replication fork stalling and collapse such as carboplatin and irinotecan and the PARP inhibitor olaparib. These combinations required optimization of dose and schedules in vivo and showed superior antitumor activity at lower doses compared with that required for monotherapy. Tumor regressions required at least 2 days of daily dosing of AZD6738 concurrent with carboplatin, while twice daily dosing was required following irinotecan. In a BRCA2-mutant patient-derived triple-negative breast cancer (TNBC) xenograft model, complete tumor regression was achieved with 3 to5 days of daily AZD6738 per week concurrent with olaparib. Increasing olaparib dosage or AZD6738 dosing to twice daily allowed complete tumor regression even in a BRCA wild-type TNBC xenograft model. These preclinical data provide rationale for clinical evaluation of AZD6738 as a monotherapy or combinatorial agent.

Significance:

This detailed preclinical investigation, including pharmacokinetics/pharmacodynamics and dose–schedule optimizations, of AZD6738/ceralasertib alone and in combination with chemotherapy or PARP inhibitors can inform ongoing clinical efforts to treat cancer with ATR inhibitors.
The Expression of the RUVBL1 Component of the R2TP Complex Correlates with Poor Prognosis in DLBCL
Authors: Lone Moien , Shadang Mahaiwon , Akhter Qulsum , Kumar Mithilesh , Mallick Saumyaranjan , Gogia Ajay , Nilima Nilima , Chauhan Shyam S. , Mir Riyaz A.
Published: January 2022

Introduction: Diffuse large B-cell lymphoma (DLBCL) is the most prevalent subtype of non-Hodgkin’s lymphoma (NHL) accounting for 30% of adult NHL worldwide and 50% in developing countries like India. DNA damage and Myc-induced transformation are well-known contributing factors towards development of DLBCL. A recently identified HSP90 co-chaperone complex R2TP has been shown to contribute towards DNA damage and Myc-induced transformation. This study aimed to analyse the immunohistochemical (IHC) expression of R2TP complex components RUVBL1, PIH1D1, and RPAP3 in DLBCL patients and correlate with prognosis. Methods: DLBCL (n = 54) histological slides were retrieved from archives, and detailed histomorphological and clinical features were noted. IHC staining of R2TP complex components RUVBL1, PIH1D1, and RPAP3 was performed on 54 cases (FFPE) of DLBCL. Expression data were correlated with survival and clinical features. Results: Out of the 54 DLBCL cases, 59.26% (n = 32) stained positive for RUVBL1. The RUVBL1 expression was associated with poor prognosis in both progression-free survival (PFS) (p = 0.0146) and overall survival (OS) (p = 0.0328). The expression was positively correlated with bone marrow involvement (p = 0.0525). The expression of PIH1D1 was observed in 68.51% (n = 32) of DLBCL cases, and positive correlation was observed with international prognostic index score (p = 0.0246); however, no correlation was observed with PFS or OS. Finally, RPAP3 was found immunopositive in only 1 case of DLBCL. Conclusions: Immunopositivity for RUVBL1 is associated with poor prognosis along with a higher relapse rate amongst the DLBCL patients. PIH1D1 immunopositivity correlated with a higher IPI score.
Moderate bis schwere SARS-CoV-2-Infektion: Patienten können von niedrig dosierten Kortikosteroiden profitieren
Authors: Krüger Stefan
Published: January 2022

Background: We performed a multicenter, randomized open-label trial in patients with moderate to severe Covid-19 treated with a range of possible treatment regimens. Methods: Patients were randomly assigned to one of three regimen groups at a ratio of 1:1:1. The primary outcome of this study was admission to the intensive care unit. Secondary outcomes were intubation, in-hospital mortality, time to clinical recovery, and length of hospital stay (LOS). Between April 13 and August 9, 2020, a total of 336 patients were randomly assigned to receive one of the 3 treatment regimens including group I (hydroxychloroquine stat, prednisolone, azithromycin and naproxen; 120 patients), group II (hydroxychloroquine stat, azithromycin and naproxen; 116 patients), and group III (hydroxychloroquine and lopinavir/ritonavir (116 patients). The mean LOS in patients receiving prednisolone was 5.5 in the modified intention-to-treat (mITT) population and 4.4 days in the per-protocol (PP) population ompared with 6.4 days (mITT population) and 5.8 days (PP population) in patients treated with Lopinavir/Ritonavir. Results: The mean LOS was significantly lower in the mITT and PP populations who received prednisolone compared with populations treated with Lopinavir/Ritonavir (p = 0.028; p = 0.0007). We observed no significant differences in the number of deaths, ICU admission, and need for mechanical ventilation between the Modified ITT and per-protocol populations treated with prednisolone and Lopinavir/Ritonavir, although these outcomes were better in the arm treated with prednisolone. The time to clinical recovery was similar in the modified ITT and per-protocol populations treated with prednisolone, lopinavir/ritonavir, and azithromycin (p = 0.335; p = 0.055; p = 0.291; p = 0.098). Conclusions: The results of the present study show that therapeutic regimen (regimen I) with low dose prednisolone was superior to other regimens in shortening the length of hospital stay in patients with moderate to severe COVID-19. The steroid sparing effect may be utilized to increase the effectiveness of corticosteroids in the management of diabetic patients by decreasing the dosage.
Comprehensive Geriatric Assessment in Older Patients with Diabetes Mellitus in Hanoi, Vietnam
Authors: Vu Huyen Thi Thanh , Nguyen Thu Thi Hoai , Le Tu Anh , Nguyen Thanh Xuan , Nguyen Huong Thi Thu , Nguyen Tam Ngoc , Pham Thang , Nguyen Anh Trung
Published: January 2022

Introduction: Comprehensive geriatric assessment (CGA) of older diabetic patients is thought to be of value, but there have been limited studies on the prevalence of impairments in the components of a CGA as well as the relationship between CGA and diabetic control in this group. Objective: This study aimed to evaluate the prevalence of components of CGA in older patients with diabetes in National Geriatric Hospital, Hanoi, Vietnam, and determine the association among domains of CGA with measures of diabetic control. Methods: A cross-sectional study of diabetic outpatients aged ≥60 years at National Geriatric Hospital in Hanoi, Vietnam, recruited over 3 months. The CGA questionnaire includes different assessments consisting of cognitive impairment (using Mini-Cog test), depression (using the 15-item Geriatric Depression Scale), urinary incontinence (using the 3-Incontinence questions), Activities of Daily Living (ADL) dependence, Instrumental Activities of Daily Living (IADL) dependence, high fall risk (using Hendrich II Fall Risk Model), hearing loss (using Whisper test), low visual acuity (using Snellen test), polypharmacy, malnutrition (using the Mini-Nutritional Assessment Short Form), and multiple geriatric conditions (patients had 2 or more geriatric conditions). Multiple logistic regression was used to analyze the association between demographic factors and CGA components with measures of diabetes control. Results: A total of 412 patients were recruited (56.6% female, mean age 71.9 [7.6] years). Prevalence of impairment in components of the CGA was high and highest for vision impairment (94.2%) and multiple geriatric conditions (89.3%). Age <75 years, cognitive impairment, depressive symptom, IADL impairment, and high fall risk were significantly associated with both poor fasting plasma glucose control (>130 mg/dL) and poor HbA1c control (≥7%). Conclusions: This study highlights that geriatric syndromes are common in older diabetic patients and associated with poorer diabetic control. It suggests CGA may be important to conduct in this group by establishing an interdisciplinary Geriatric health care team.
A dicção do cancionista: percurso de um conceito
Authors: Queiroz Zeno
Published: January 2022

De caráter histórico-teórico, este artigo pretende elaborar uma arqueologia da semiótica da canção à luz da ideia de dicção, com o intuito de recuperar tanto o desenvolvimento da teoria quanto o do conceito, ou seja, restaurar o percurso de ambos para compreender seus modos de constituição. Tomar-se-ão para análise os escritos de Luiz Tatit sobre canção popular publicados como livros ou capítulos de livros, os quais, por terem sido compilados pelo autor nesse formato, se nos apresentam como sua principal obra. Os textos serão cronologicamente examinados a fim de se avaliar como, quando e onde aparece a noção de dicção na produção bibliográfica do semioticista brasileiro.
As transposições parodística e estilística nas regravações de canções brega
Authors: Façanha Vinicius , Barbosa Artur da Silva
Published: January 2022

Este artigo surge da tentativa de compreender melhor o fenômeno por qual passam certas canções estigmatizadas, que, ao serem gravadas por intérpretes considerados como de maior prestígio cultural, passam a ser consumidas como produções artísticas de “bom gosto”. Focalizando nossa pesquisa na regravação de canções bregas, compreendemos esse processo de transposição como um fenômeno intertextual, podendo ser construída como paródia e estilização (Discini, 2004). Além disso, as distintas sanções que as regravações de uma canção recebem são fruto de um processo sócio-histórico, que Tatit (2004) traduz em termos de triagem e mistura. A construção da identidade de uma determinada canção, avaliada como brega, é definida por uma série de efeitos de sentido que procuramos demonstrar pela análise, com base na semiótica elaborada por Tatit (1994), de duas canções bregas que foram gravadas por intérpretes de outros estilos: “Eu vou tirar você desse lugar”, nas versões de Odair José (1995) e Los Hermanos (2002), e “Sozinho”, de Peninha (1997) e Caetano Veloso (1998).
Transcrição, notação e análise da palavra cantada
Authors: Carmo Junior José Roberto do
Published: January 2022

Este texto aborda o problema da metalinguagem empregada na análise do plano da expressão da palavra cantada. O ponto de vista greimasiano sobre o texto cria um objeto – o percurso gerativo de sentido –, do qual não faz parte o plano da expressão. Consequentemente, a semiótica pouco se preocupou com o desenvolvimento de uma linguagem técnica dedicada à análise do plano da expressão. Porém, assim como o plano do conteúdo pode e deve ser analisado independentemente do plano da expressão, também este pode e deve ser analisado independentemente do plano do conteúdo. Para atingir este objetivo é necessário construir uma metalinguagem cujo objeto seja o plano da expressão. Esta metalinguagem deve estar ancorada nos princípios epistemológicos do estruturalismo e, ao mesmo tempo, deve ser capaz de espelhar as coerções que a substância da expressão apresenta. Tendo como foco o plano da expressão musical, discutimos quais as características desejáveis dessa metalinguagem e mostramos porque ela deve ser fundada na matemática.
Estados de alma, efeitos tensivos e modos de compatibilização entre melodia e letra em três canções de Chico Buarque
Authors: Saraiva José Américo Bezerra , Leite Ricardo Lopes
Published: January 2022

Este artigo examina, sob o prisma da semiótica da canção de Luiz Tatit (1994; 1996; 1997), a letra e a melodia de três canções de Chico Buarque de Holanda: “Com açúcar, com afeto”, “Cotidiano” e “Sem açúcar”, para demonstrar que o analista de canções deve não apenas devotar atenção à presença recessiva ou dominante dos processos de compatibilização melódicos na canção, mas deve também atentar para os efeitos tensivos que vão se estabelecendo ao longo da canção a partir da co-presença dos três modos de integração, que ora atuam como elemento intenso, ora como elemento extenso, num ajustamento globalizante in/extenso que dará feição ao projeto enunciativo do cancionista.
Nouveaux themes de recherche dans les litteratures africaines, defis et possibilites d ́ecrire et d ́enseigner ces litteratures dans les langues africaines
Authors: Yai Olabiyi Babalola Joseph
Published: January 2022

Malhereusement les institutions universitaires africaines ne correspondent pas aux besoins et aux intérêts de l’Afrique. Pendant cinquante ans et plus, nous avons ‘’pensé avec la tête des autres’’ et avons échoué, en règle générale. Si, aujourd’hui, nous estimons que ‘’l’heure de nous-mêmes a sonné’’
(Césaire), il nous faudra penser une nouvelle approche de l’Université, par nous-mêmes. Et plus particulièrement dans les sciences sociales et humaines, cette approche doit privilégier l’articulation de ‘’l’influx’’ et de l’ ’afflux’’
Predicting the impact of American Economic Review articles by author characteristics
Authors: Yuret Tolga
Published: January 2022

Authors who publish in American Economic Review (AER) have career paths confined to a few prestigious institutions, and they mostly have exceptional past publication performance. In this paper, I show that authors who are educated and work in the top 10 institutions and have better past publication performance receive more citations for their current AER publications. Authors who have published in the top economic theory journals receive fewer citations even after controlling for the subfield of their AER article. The gender of the authors, years of post-PhD experience, and the location of the affiliated institution do not have any significant effect on the citation performance. An opportunistic editor can exploit the factors that are related to citation performance to substantially improve the citation performance of the journal. Such opportunistic behavior increases the overrepresentation of authors with certain characteristics. For example, an opportunistic editor who uses the predicted citation performance of articles to select a quarter of the articles increases the ratio of authors who works at the top 10 institutions from 30.8% to 52.0%.
Lectotypification of four names in the genus Smilax (Smilacaceae)
Authors: SUKHRAMANI GEETIKA , CHOUDHARY RITESH KUMAR
Published: January 2022

N/A
Huchimingia, a new genus segregated from Millettia (Leguminosae, Millettieae) based on morphological and molecular evidence
Authors: SONG ZHU-QIU , LI SHI-JIN , MATTAPHA SAWAI
Published: January 2022

Millettia Wight & Arn. is a heterogeneous genus within the tribe Millettieae (Leguminosae) and has long been used as a repository to accommodate all undistinctive species of the tribe with elastically dehiscent pods. Millettia sect. Podocarpae Dunn is representative of the heterogeneous genus. This section includes five Asian species that have a unique combination of characters that distinguishes them from all other species of the genus, including the deciduous tree habit, conspicuous buds covered with scales, pseudoracemes or pseudopanicles with very indistinct brachyblasts, two flowers per brachyblast, conspicuous large bracts, ebracteolate calyx, well-developed hypanthium, stipitate ovary, and flat, stipitate and dehiscent pods. Our molecular phylogeny based on plastid matK and nuclear ribosomal ITS sequences also suggested the section is clearly monophyletic, separate from other congeneric species, and is most closely related to Antheroporum Gagnep. with inflated, vacuous pods and Ohashia X.Y. Zhu & R.P. Zhang with indehiscent flat pods. Therefore, we propose a new genus, Huchimingia Z.Q. Song & Shi J. Li, to accommodate this distinct section.
Trisetum spicatum (Poaceae: Pooideae): an interglacial relict in the Iranian mountains
Authors: TALEBI AMIR , NAQINEZHAD ALIREZA , ATTAR FARIDEH
Published: January 2022

Trisetum spicatum, a widespread arctic and alpine species, is reported for the first time in the flora of Iran. This species was collected from scree habitats above 4000 m a.s.l. of Mt. Damavand (Central Alborz, Alborz range, N. Iran). This new occurrence of the species in the alpine area of Iran highlights the role of high mountains as migration corridors and refugee during interglacial periods. This new record is different from the other species by its habitat characteristics, compact inflorescence and having dense trichomes on whole parts especially on the peduncle. In addition, ecological and floristic characteristics of the habitat of the species are discussed.
Description of Spiniola hanaro Park, gen. and sp. nov., and three new species of Torodora Meyrick, 1894 (Lepidoptera, Lecithoceridae, Torodorinae) from the Afrotropical Region
Authors: PARK KYU-TEK , KOO JUN-MO
Published: January 2022

A new genus, Spiniola Park, gen. nov., is described from Malawi, based on the type species, S. hanaro Park, sp. nov., and three new species of Torodora Meyrick, 1894 are described: T. batillana Park & Koo, sp. nov. from Kenya, and T. chrysotes Park & Koo, sp. nov. and T. manalis Park & Koo, sp. nov. from Uganda. Images of adults and genitalia of the new species are provided.
The Influence of Occupational Identity on Emotional Experience
Authors: Maloney Em K.
Published: January 2022

How does occupational identity shape emotional experience? Prior work has largely framed occupation and emotion either in terms of how differences in occupational status structure the experience of powerful, negative emotions or how cultural norms enforce types of acceptable emotional expression in workplaces. Complementing this work by using an identity-centered approach, this paper asks how being in one occupational identity versus another influences the emotions one is likely to experience in everyday life. I argue that one’s occupational identity generates daily interaction sets with typical others, which create opportunities for identity maintenance and confirmation. Affect Control Theory predicts that when individuals confirm identities within an interaction, they will experience the characteristic emotion of the identity. Using data from the General Social Survey’s 1996 emotions module, I find support for the hypothesis that individuals will report experiencing emotions that are closer in cultural meaning to the characteristic emotion of their occupational identity more often than emotions that are more different in cultural meaning. I additionally explore how this relationship depends on the social location of the individual. I find that this relationship is stronger for men, those with higher income, and more educational credentials.
Health-related quality of life in people with psychotic disorders: The role of loneliness and its contributors
Authors: Nevarez-Flores Adriana G , Breslin Monique , Carr Vaughan J , Morgan Vera A , Waterreus Anna , Harvey Carol , Sanderson Kristy , Neil Amanda L
Published: January 2022

Background:

Perception of loneliness has been identified as the strongest predictor of health-related quality of life assessed with the Assessment of Quality of Life-4D in people with psychotic disorders. We aimed to establish contributors to perceived loneliness, and ascertain the mediating role of loneliness in the relationship between identified contributors to loneliness and other known predictors of health-related quality of life with health-related quality of life.

Methods:

Data for 1642 people collected as part of the 2010 Australian National Survey of Psychosis were analysed. Health-related quality of life was assessed using the Assessment of Quality of Life-4D, and loneliness through a single-item five-level categorical variable. To identify independent contributors to loneliness, a statistical model was constructed with reference to a theoretical model comprising 23 variables. A predictive model with health-related quality of life as the dependent variable was then developed and tested to assess the mediating role of loneliness.

Results:

Nine contributors to loneliness were found (social dysfunction, experienced stigma, contact with friends, diagnosis, depressive symptoms, anxiety, mental health service utilisation, arthritis and traumatic events in childhood), with social dysfunction the strongest. In the prediction of health-related quality of life, all contributors to loneliness were partially mediated through loneliness (except service utilisation) as were negative symptoms and use of psychotropic/anticholinergic medications.

Conclusion:

Assuming a plausible causal model of mediation, loneliness was found to have direct and indirect effects on health-related quality of life in people with psychotic disorders. Findings add impetus to efforts to develop and trial strategies aimed at reducing loneliness in this population, and, in turn, improving their health-related quality of life.
Ventriloquial reflexivity: Exploring the communicative relationality of the ‘I’ and the ‘it’
Authors: Meier Frank , Carroll Brigid
Published: January 2022

Can an exploration of managers’ real-time organizational talk make way for a profoundly revised theory of reflexivity? Indeed, our analysis of the reflexivity literature reveals four significant points of contestation – the subject/object distinction, temporality, representation and agency – all of which revolve around the interplay of an ‘I’ (at least one reflexive agent) and an ‘it’ (something to be reflexive about). The focus of this inquiry lies in how the ‘I’ and the ‘it’ are constituted communicatively and what generates, sustains and animates them in interaction. Such interactions are sourced from a post-experience master programme for practising managers, thus providing naturally occurring data amendable to a ventriloquial analysis. We identify and demonstrate three types of reflexive moments: conflating, bifurcating and animating. We subsequently theorize these as instances of ventriloquial reflexivity, using the terms conflating, bifurcating and animating to express the different moments in which speakers co-orient to the communicative constitution of the ‘I’ and the ‘it’. Ventriloquial reflexivity allows us to explore reflexivity as an interactional and situated accomplishment, thus further pointing to how reflexive practices can be understood and enhanced.
Research ethics committees: A forum where scientists, editors, and policymakers can cooperate during pandemics
Authors: Chirico Francesco , Bramstedt Katrina A.
Published: January 2022

During public health pandemics such as COVID-19, cooperative behaviors among scientists, journal editors, policy makers and research ethics committees, are essential to promote scientific integrity and societal trust in translational research and resultant public health decisions. This cooperation is possible by expanding the current way of working to include stakeholders beyond the research team via community events and special communication channels sponsored by research ethics committees. Research ethics committees with wider communication channels, increased transparency, and enhanced knowledge exchange have the potential to improve research design, performance, dissemination, and ultimately public benefit.
Coping Strategies of Women With Long-Term Spinal Cord Injury: The Role of Beliefs About the World, Self-Efficacy, and Disability
Authors: Byra Stanisława , Gabryś Agnieszka
Published: January 2022

The present study aimed to investigate the indirect effect of appraisal of disability on the relationship between basic hope and coping strategies in women with long-term spinal cord injury (SCI), taking into account the moderating role of general self-efficacy. A cross-sectional study with 187 women with paraplegia in Poland was conducted. Main outcome measures, the Coping Orientations to Problems Experienced (COPE), the Basic Hope Inventory (BHI), Appraisals of Disability Primary and Secondary Scale (ADAPSS), and General Self-Efficacy Scale (GSES), were used. Our study showed that the strategies most commonly used by participants are seeking emotional support, religion, and acceptance. More than 45% of the respondents revealed average levels of basic hope, 58.82% revealed high levels of general self-efficacy, and most of them assessed their disability as determined resilience while noticing its negative aspects. The indirect effect of disability appraisal on the relationship between basic hope and coping strategies (denial, focus on emotions, seeking emotional support, religion, and acceptance) was confirmed. The moderating role of general self-efficacy in this analysis of mediating was also confirmed. General self-efficacy plays a significant role in explaining the relationship between basic hope and coping strategies mediated by appraisals of disability in women with long-term SCI.
Linear actuator–based knee exoskeleton for stand–sit–stand motions: a bond graph approach
Authors: Jain Prakhar , Bera Tarun Kumar , Singla Ashish , Isaksson Magnus
Published: January 2022

People with knee disorders often find it difficult to perform common mobility tasks, such as stand–sit–stand motions. High knee torque is required to complete such transitions, as the chances of toppling increase during these motions. Most of the existing conventional approaches, such as wheelchairs and crutches, have failed to provide complete independence to the users. Conversely, contemporary systems like lower body exoskeletons which are bulky, complex, and expensive do not specifically target the knee joint instead of assisting other joints. Hence, there is a need to aid the knee joint using a robotic knee exoskeleton capable of accurately providing the desired knee torque. In the present work, to assist the user in performing the stand–sit–stand motions, an electromyography sensor-based four-bar knee exoskeleton actuated by a linear actuator is proposed. The modeling of the complete exoskeleton is developed using bond graph technique, as the components exist in different energy domains and it is possible to frame a dynamic bond graph model using only kinematic equations. The prototype is fabricated, and experiments are carried out on an artificial limb to prove the efficacy of the design of the current knee exoskeleton. The assistive torque developed by the actuator at the knee joint of the exoskeleton is found to be suitable to assist the wearer. As a result, little effort is required by the wearer for performing the stand–sit–stand motions. The rotation of the thigh link of the developed exoskeleton was found to be suitable for performing the stand–sit–stand activity.
Motion comfort analysis of tight-fitting sportswear from multi-dimensions using intelligence systems
Authors: Cheng Pengpeng , Wang Jianping , Zeng Xianyi , Bruniaux Pascal , Tao Xuyuan
Published: January 2022

Focusing on the “human–sport-clothing” system, this paper analyzed the influence of combinations of different tights and sport states on human body parts and overall body comfort from multiple dimensions. However, the motion state and some fabric parameters are non-numerical parameters, which could not be used for model analysis directly. In addition, there are too many numerical fabric parameters whose relationships are complicated, and it is difficult for general models to deal with these relationships, resulting in low accuracy of the comfort prediction model. Moreover, when using the artificial neural network to study comfort, it has some difficulties in expressing comfort and low prediction accuracy. To solve these problems, One-Hot was used to encode non-numerical parameters, and then intelligent algorithms were adopted to deal with these complex fabric parameters. Finally, a comfort prediction model was established in combination with an adaptive fuzzy reasoning system. The results showed that different fabric combinations and motion states had significant effects on local comfort (comfort of specific human body parts) and global comfort (whole body comfort). Moreover, the prediction model with non-numerical parameters has higher accuracy than the model without non-numerical parameters, which indicated that the prediction accuracy of the model had been improved after the introduction of One-Hot coding, so the non-numerical parameters cannot be ignored. The particle swarm optimization algorithm-cuckoo search algorithm-adaptive network-based fuzzy inference system hybrid model was superior to the particle swarm optimization algorithm-adaptive network-based fuzzy inference system and cuckoo search algorithm-adaptive network-based fuzzy inference system model in predicting local comfort and global comfort.
Are the U.S. Military’s Nonpartisan Norms Eroding?
Authors: Lythgoe Trent J.
Published: January 2022

The U.S. military’s nonpartisan norms are an important part of healthy civil–military relations. Some research, however, suggest these norms are weakening. This study examines the evidence for eroding nonpartisan norms by analyzing U.S. military servicemembers’ partisan affiliations and political activism levels from 2008 to 2018. It finds that since 2008, military servicemembers have become more likely to identify as partisans. Servicemembers have also become more politically active than civilians, although this is due to decreasing activism among the American public. It also finds that longer-serving service members have stronger nonpartisan norms, but that newer servicemembers are more politically active than both longer-serving servicemembers and civilians. These findings provide a firmer empirical foundation for previous claims of eroding norms and suggest more research is needed to understand how increased partisanship and political activism impacts military readiness and civil–military relations.
The inverted world and fetishism in Benjamin’s dialectics
Authors: Grollios Vasilis
Published: January 2022

The article aspires to cast light on aspects of the radical character of Walter Benjamin’s work, that, sadly, have not, to date, provoked much discussion in the literature on him. The main issue it elaborates is his dialectic between fetishized, reified social form, and content-essence, which forms the core of the concept of critique in his philosophy. In Benjamin’s case, the concept of illusion, or, as the notion is described in his texts, of phantasmagoria, or of the image, holds a special gravity that comes to the fore if it is connected not only to commodity fetishism but also to the fetishism of social forms as a process, and the concept of cracks in capitalism.