bluuebunny/crossref_metadata_2025 huggingface dataset:
PARADIPLOMACIA
Authors: Borges Bárbara Teixeira , Araújo Marcelo Labanca Corrêa de
Published: September 2022

O presente trabalho estuda a atuação paradiplomática do Consórcio Interestadual de Desenvolvimento Sustentável do Nordeste (Consórcio Nordeste) voltada ao combate da Covid-19. O que se pretende averiguar, especificamente, é se o supracitado Consórcio atuou internacionalmente, de forma desvinculada à atuação da União Federal, no período de março de 2020 (época em se iniciou a transmissão interna da doença no país e quando foram decretados os primeiros lockdowns em território nacional referentes à pandemia) a junho de 2021 (fim do primeiro semestre do primeiro ano já iniciado em pandemia). A hipótese a ser testada é a de que houve condutas internacionais voltadas ao combate da Covid-19 praticadas pela associação pública interestadual. Para esta finalidade, o artigo analisa o surgimento do federalismo no Brasil e examina a atual estrutura federativa do país, conceituando o que se entende por autonomia estadual. Por fim, avalia as origens da paradiplomacia brasileira e a contextualiza no cenário da pandemia de Covid-19, com particular foco no Consórcio Nordeste e em sua atuação internacional em busca de medidas para conter os efeitos da doença nos limites territoriais dos estados-membros que compõem a associação. Através de pesquisa empírica qualitativa-quantitativa, conclui-se que a autarquia interestadual nordestina atuou internacionalmente no período citado, estabelecendo contato com o Fundo Soberano Russo para negociar importação de doses da vacina Sputnik V e realizando tratativas junto à Agência Nacional de Vigilância Sanitária (ANVISA) para viabilizar a importação e a liberação da vacina russa em território nacional.
DA (IM)POSSIBILIDADE DE CONTROLE JUDICIAL DA SENTENÇA ARBITRAL COM FUNDAMENTO NA PROPORCIONALIDADE
Authors: Montes Netto Carlos Eduardo , Ferreira Olavo Augusto Vianna Alves , Nunes Danilo Henrique
Published: September 2022

O objetivo do presente trabalho é analisar se possível ou não o controle judicial da sentença arbitral com fundamento na proporcionalidade, considerando a escassez de pesquisas sobre o assunto. Optou-se pela realização de uma pesquisa exploratória com a utilização de revisão bibliográfica e da análise qualitativa dos dados a fim de se cumprir esse objetivo, o que possibilitou inferir, ao final, que o ordenamento jurídico não permite que o Judiciário venha a exercer controle de mérito sobre a sentença arbitral, ainda que desproporcional.
AS POLÍTICAS PÚBLICAS DE RECUPERAÇÃO NO BRASIL E MODELOS ALTERNATIVOS
Authors: Querino Ana Célia , Silveira Ricardo Reis , Silva Juvencio Borges
Published: September 2022

A Saúde é um direito coletivo cuja promoção é finalidade primordial do Estado. No Brasil, como garantia constitucional deste direito, a drogadição se infere como um dos maiores desafios enfrentados pela Administração Pública. O cinema tanto nacional quanto internacional encontra no tema grande inspiração. A pesquisa aborda nuances do cinema e da literatura no enfrentamento da drogadição, especialmente nas narrativas retratadas em The Flight e The Queen’s Gambit. No cinema brasileiro observa-se a obra Bicho de Sete Cabeças, extraindo-se aspectos sobre as políticas públicas do modelo outrora adotado no país. São analisadas outras obras artístico-literárias objetivando desvendar em que medida o cinema e a literatura podem sugerir esboços e aparatos ao enfrentamento da questão. Igualmente, avalia-se o modelo atual adotado pelo Estado bem como outros caminhos alternativos. O estudo sugere propostas do Direito e Literatura para a seara jurídica, como contributos acadêmicos para compreensão e formação na seara do direito. O método é o analítico-dedutivo e metodologia empregada é de caráter exploratório-bibliográfica, com análise de material literário e cinematográfico, legislação, livros e artigos publicados em revistas científicas e anais de Congressos.
Help Me, Symbionts, You’re My Only Hope: Approaches to Accelerate Our Understanding of Coral Holobiont Interactions
Authors: Bove Colleen , Valadez Ingersoll Maria , Davies Sarah
Published: September 2022

Tropical corals construct the three-dimensional framework for one of the most diverse ecosystems on the planet, providing habitat to a plethora of species across taxa. However, these ecosystem engineers are facing unprecedented challenges, such as increasing disease prevalence and marine heatwaves associated with anthropogenic global change. As a result, major declines in coral cover and health are being observed across the world's oceans, often due to the breakdown of coral-associated symbioses. Here, we review the interactions between the major symbiotic partners of the coral holobiont – the cnidarian host, algae in the family Symbiodiniaceae, and the microbiome – that influence trait variation, including the molecular mechanisms that underlie symbiosis and the resulting physiological benefits of different microbial partnerships. In doing so, we highlight the current framework for the formation and maintenance of cnidarian-Symbiodiniaceae symbiosis, and the role that immunity pathways play in this relationship. We emphasize that understanding these complex interactions is challenging when you consider the vast genetic variation of the cnidarian host and algal symbiont, as well as their highly diverse microbiome, which is also an important player in coral holobiont health. Given the complex interactions between and among symbiotic partners, we propose several research directions and approaches focused on symbiosis model systems and emerging technologies that will broaden our understanding of how these partner interactions may facilitate the prediction of coral holobiont phenotype, especially under rapid environmental change.
Unblocking Recognition: A Token System for Acknowledging Academic Contribution
Authors: Lee James , Moroso Mario , Mackey Timothy
Published: September 2022

Here we present a blockchain-backed token recognition system to reward the contributions that academics make to the scientific ecosystem. Recognition is important in science but current methods, systems and incentives are limited. Specifically, the traditional focus on narrow publication metrics means diverse contributions are not captured, while bias toward senior, established scientists is common. To tackle this challenge, we explore the potential of harnessing blockchain’s collaborative, decentralised and trust-brokering properties to develop a token reward system for use by research funders. Academics would be awarded tokens for undertaking common but vital tasks such as peer review, sitting on funding committees and submitting reports. These tokens would not be tradable or specifically monetisable but would serve as a validated record of scientific contribution. They would have value in professional recruitment and job placement, support grant and award applications, and inform performance appraisals and file reviews. Coordination and cooperation across multiple funding agencies in developing the platform would provide an opportunity to aggregate and standardise recognition, given academics often work with several funders. This system’s goals are to expand recognition metrics, promote efficiencies, improve the robustness of professional assessments and enable cross-funder collaboration, thereby optimising research processes and practices in a decentralised and democratised manner.
Skin Cancer Classification and Comparison of Pretrained Models Performance using Transfer Learning
Authors: Singha Subroto , Roy Priyangka
Published: September 2022

Skin cancer is an uncommon but serious malignancy. Dermoscopic images examination and biopsy are required for cancer detection. Deep learning (DL) is extremely effective in learning characteristics and predicting malignancies. However, DL requires a large number of images to train. Image augmentation and transferring learning were employed to overcome the lack of images issue. In this study we divided images into two categories: benign and malignant. To train and test our models, we used the public ISIC 2020 database. Melanoma is classified as malignant in the ISIC 2020 dataset. Along with categorization, the dataset was studied to demonstrate variation. The performance of three top pretrained models was then benchmarked in terms of training and validation accuracy. Three optimizers were employed to optimize the loss: RMSProp, SGD, and ADAM. Using ResNet, VGG16, and MobileNetV2, we obtained training accuracy of 98.73%, 99.12%, and 99.76%, respectively. Using these three pretrained models, we attained a validation accuracy of 98.39%.
HEXAGON FRAUD IN FRAUDULENT FINANCIAL STATEMENTS: THE MODERATING ROLE OF AUDIT COMMITTEE
Authors:   Universitas Media Nusantara Citra, Nugroho Dwiyanjana , Diyanty Vera ,   Universitas Indonesia
Published: September 2022

This paper aims to examine the effect of the fraud hexagon on fraudulent financial statements (FFS), and the audit committee (AC)'s role in moderating this relation. The research model uses logit regression with data on all non-financial companies in Indonesia ranging from 2016 to 2020, which were obtained from annual reports and Thomson Reuters. The sensitivity test uses a coefficient difference test based on the Overall Manipulation Index. This study shows that the probability of FFS is higher when the manager has the stimulus, opportunity, and capability. On the other hand, rationalization and collusion do not affect the probability of FFS. Interestingly, managers with high ego do not commit fraudulent financial reporting. The AC can minimize the stimulus, opportunity, and capability of the manager to make FFS. On the other hand, the AC cannot minimize the rationalization, ego, and collusion network of the manager. Theoretically, this study contributes to developing the situational action theory literature related to FFS and the fraud hexagon framework. This study provides academic implications that the arguments and empirical research findings that examine the behavior of managers in committing fraudulent financial reporting can be built not only based on the proxies used, but also by referring to the fraud theoretical framework.
Vaccine-Associated Shifts in SARS-CoV-2 Infectivity Among the Native Hawaiian and Other Pacific Islander Population in Hawaii
Authors: Juarez Ruben , Phankitnirundorn Krit , Ramirez Aaron , Peres Rafael , Maunakea Alika K. , Okihiro May
Published: September 2022

Native Hawaiians and other Pacific Islanders (NHPIs) across the country have experienced significant disparities because of the COVID-19 pandemic. The Pacific Alliance Against COVID-19 used a community-based participatory approach involving academic and community partners to expand sustainable COVID-19 testing capacity and mitigate the severe consequences among NHPI communities in Hawaii. We describe the approach of this one-year study, some of the results, and how the data are being used to inform next steps for the communities. Clinical Trials.gov identifier: NCT04766333. (Am J Public Health. 2022;112(S9):S896–S899. https://doi.org/10.2105/AJPH.2022.306973 )
Associations of 4 Geographic Social Vulnerability Indices With US COVID-19 Incidence and Mortality
Authors: Tipirneni Renuka , Schmidt Harald , Lantz Paula M. , Karmakar Monita
Published: September 2022

Objectives. To examine and compare how 4 indices of population-level social disadvantage—the Social Vulnerability Index (SVI), the Area Deprivation Index (ADI), the COVID-19 Community Vulnerability Index (CCVI), and the Minority Health–Social Vulnerability Index (MH-SVI)—are associated with COVID-19 outcomes.

Methods. Spatial autoregressive models adjusted for population density, urbanicity, and state fixed effects were used to estimate associations of county-level SVI, MH-SVI, CCVI, and ADI values with COVID-19 incidence and mortality.

Results. All 4 disadvantage indices had similar positive associations with COVID-19 incidence. Each index was also significantly associated with COVID-19 mortality, but the ADI had a stronger association than the CCVI, MH-SVI, and SVI.

Conclusions. Despite differences in component measures and weighting, all 4 of the indices we assessed demonstrated associations between greater disadvantage and COVID-19 incidence and mortality.

Public Health Implications. Our findings suggest that each of the 4 disadvantage indices can be used to assist public health leaders in targeting ongoing first-dose and booster or third-dose vaccines as well as new vaccines or other resources to regions most vulnerable to negative COVID-19 outcomes, weighing potential tradeoffs in their political and practical acceptability. (Am J Public Health. 2022;112(11):1584–1588. https://doi.org/10.2105/AJPH.2022.307018 )
Implementation of Micro, Small and Medium Enterprises Policy during the Covid-19 Pandemic in Sidoarjo
Authors: Sukmana Hendra , Rodiyah Isnaini , Mursyidah Lailul
Published: September 2022

MSMEs in Indonesia play a role as a trigger for economic growth in developing and developed countries. MSMEs also have a crucial function in overcoming problems in a region or region. When the economic situation slumps due to the Covid-19 Pandemic, business people must be really observant in making decisions. The Sidoarjo government has again taken steps as a form of controlling the economic sector during the pandemic. The purpose of this study is to identify the implementation of policies to strengthen micro, small and medium enterprises during the Covid-19 pandemic in Sidoarjo. The research method used is a literature review using 25 journal articles. The results of the study show there are several MSME protection schemes carried out by the government in Sidoarjo, namely as follows: First, there is financial assistance and social assistance for MSME actors affected by Covid-19, especially those who are vulnerable and classified as very poor. Second, tax incentives for MSMEs. Third, relaxation and restructuring of credit for MSMEs through the KurdaSayang program. Fourth, expansion of MSME working capital financing. Fifth, synergistic cooperation between local governments and related stakeholders as a buffer for MSME products. Sixth, training on the use of e-learning digital platforms. Meanwhile, the implementation of policies to strengthen micro, small and medium enterprises during the pandemic in Sidoarjo, can be seen from the communication, bureaucratic structure, resources and attitude of the implementers.
The Implementation of E-government in the Sector Transportation (Studi on Area Traffic Control System Program Resources in Sidoarjo District)
Authors: Mustika Muhammad Erlangga Surya , Choiriyah Ilmi Usrotin , U.B Ahmad Riyadh
Published: September 2022

ABSTRACT
Technological advancements are growing which make the government have to issue policies, due to the large number of road users who create congestion at every intersection in Sidoarjo, the implementation of the Area Traffic Control System (ATCS) program to optimize the implementation of traffic management control systems, in order to create control over traffic violators. traffic and minimize congestion at crossroads. This study aims to determine and analyze resources as for the following indicators; the human resources of the existing officers do their duties and functions well, the budgetary resources are adjusted to local revenues, the equipment resources provide the maximum possible service if there is damage it will be immediately repaired, the authority resources are related to the traffic transportation sector on the road, such as development, development, monitoring, control, and evaluation of communication systems.
Analysis of Marginal Group Political Participation at Banyuwangi Regency Election 2020: Study in Transvestite and Gay Communities
Authors: Pahlevi Hentika Niko , Agustina Erna
Published: September 2022

This research raises issues of political participation of marginalized groups (transvestites and gays) in regional head elections in Banyuwangi Regency in 2020. Seeing the number of transvestites and gays in Banyuwangi Regency which reached 979 people. If viewed from the number of votes, of course, they surely can influence the election results in Banyuwangi Regency. Transvestites and gays are very interesting to study, because they have high exclusivity and different ways of socializing in society in general and of course have unique political interests and expectations of public policies that benefit them. The results showed that, although transvestite and gay groups have a distinctive pattern compared to other groups of society, especially those related to their political interests. However, the political participation of gay and transvestite groups belongs to the observer group. That is, gay and transvestite groups only participate in voting in the vote only
The Role of Youth Organizations in Community Empowerment through Screen Printing Business in Krembung Village, Krembung District, Sidoarjo
Authors: Tusya'diyah Halimah , Rodiyah Isnaini
Published: September 2022

This study aims to describe and analyze the role of youth organization in community empowerment in Krembung Villange, Krembung District, Sidoarjo Regency. The type of research used is descriptive qualitative research. Data collection techniques are carried out through observation, interviews, and documentations. Determination on informants in this study using purposive sampling technique. Data analysis technique using Miles & Huberman theory namely data collection, data reduction, data presentation and drawing conclusions. The results of this study indicate that the empowerment of villange communities through youth organizations is seen from three indicators of the role of youth organizations, namely as a motivator for the role of youth organizations by holding entrepreneurship socialization by inviting the Krembung Villange community. As a facilitator of the role of the Krembung villange youth organization, conducting training on screenings to provide understanding and knowledge of printing techniques by inviting the community to practice it direvtly. While as a mobilizer for the role of youth organizations is this case mobilizing or directing people who are already running a soap business to develop more. In developing this business, youth organizations held a bazaar exhibitions through the youth organization instagram
The Role of Mekar Sewu BUMDes as a Regulator in the Economy of the Kendalsewu Village Community, Tarik District, Sidoarjo Regency
Authors: Lestari Wahyu Indah , Mursyidah Lailul
Published: September 2022

BUMDes is a village business institution that is managed by the community and village government in an effort to strengthen the village economy and is formed based on the needs and potential of the village. BUMDes savings and loans is a type of business that is engaged in the association and distribution of funds to the public. This study aims to describe and analyze the role of BUMDes as a regulator in the community's economy and to describe and analyze the constraints in the role of BUMDes for Savings and Loans Mekar Sewu in Kendalsewu Village, Tarik District, Sidoarjo Regency. This type of qualitative descriptive research with the technique of determining the informant using purposive sampling. Research informants were the Kendalsewu Village, the Kendalsewu Village secretary, the chief executive of the Mekar Sewu Savings and Loans BUMDes, the Mekar Sewu Savings and Loans BUMDes treasurer, and the borrowing community of the Mekar Sewu BUMDes Savings and Loans. The location of this research is in Kendalsewu Village, Tarik District, Sidoarjo Regency. Data collection techniques are observation, interviews, and documentation. Data analysis techniques from Miles and Huberman (2011: 247) are data collection, data reduction, data presentation, and drawing conclusions. The results of this study indicate the role of BUMDes as a regulator in the community's economy at the Mekar Sewu Savings and Loans BUMDes in Kendalsewu Village, Tarik District, Sidoarjo Regency. achieved. The role of BUMDes in Kendalsewu Village is as a regulator of the running of the Mekar Sewu Savings and Loans BUMDes program. BUMDes Mekar Sewu also has stipulation regulations. The obstacle in the role of the Mekar Sewu Savings and Loans BUMDes is the change in the targets that have been set and the lack of awareness of the borrowing community of the Mekar Sewu BUMDes Savings and Loans in timely payments
Risks factors for virus shedding period of COVID-19 in maintenance hemodialysis patients: a retrospective cohort study
Authors: Xu Lili , Wu Xiaojin , Zhang Muyin , Li Xin , Hao Xu , Li Hao , Qiao Panpan , Wang Weiming
Published: September 2022

The authors have requested that this preprint be removed from Research Square.
Synthetic ribonucleoprotein granules regulate translation of a target mRNA in living cells
Authors: Eghtasadi Seyed , Shapiro Daniel , Deshpande Sonal , Min Junseon , Fiflis David , Rohm Dahlia , Dai YIfan , Asokan Aravind , Gersbach Charles , Chilkoti Ashutosh
Published: September 2022

Biomolecular condensates composed of proteins and RNA, known as ribonucleoprotein granules, are one approach by which cells regulate post-transcriptional gene expression. The formation of ribonucleoprotein granules typically involves the liquid-liquid phase separation of intrinsically disordered proteins with a target mRNA, sequestering the mRNA into the condensate. This sequestration regulates gene expression by inhibiting translation or facilitating RNA processing, such as splicing. Here, we designed a recombinant fusion of the human Pumilio2 homology domain (Pum2) RNA-binding protein and a synthetic intrinsically disordered protein that exhibits liquid-liquid phase separation to create synthetic ribonucleoprotein granules that extrinsically regulate the expression of a target gene. We show that this fusion protein selectively binds an RNA transcript of interest that contains a Pum2-binding RNA sequence at its 3’-end and sequesters the mRNA within a biomolecular condensate. Sequestration of a target mRNA within the condensate largely reduces the translation of the target RNA in protocells and in E. coli compared to cells that do not sequester the target mRNA in a synthetic condensate. We demonstrate that the viability of E. coli that harbor a cytotoxic protein can be rescued by sequestering the mRNA encoding the cytotoxic protein within a synthetic condensate. Finally, we use RNA-seq to determine that the target RNA of interest is preferentially sequestered in synthetic ribonucleoprotein granules. This approach enables modulation of cell function via the formation of a synthetic biomolecular condensate that spatiotemporally regulates the expression of a target protein.
Involvement of DNA methylation in regulating the growth of Arabidopsis thaliana seedling exposed to lanthanum(III) at environmental relevant levels
Authors: Chen Qi , Sheng Landi , Guo Menglei , Li Yajie , Dai Wenhao , Wang Lihong
Published: September 2022

Rare earth elements (REEs) are excessively enriched in the environment. Epigenetic changes at the level of DNA methylation is often rapidly established in plant’s response to environmental factors. However, how the level of DNA methylation changes and then regulates plant growth in REE exposure at environmental relevant levels is still a mystery. Here, this mystery was initially revealed in Arabidopsis thaliana exposed to lanthanum [La(III), a widespread REE] at environmental relevant levels (0, 30 and 80 µM). The results showed that the DNA methylation levels, biomarker of one-carbon metabolism providing methyl for DNA methylation (S-adenosylmethionine content, S-adenosyl homocysteine content, the ratio of S-adenosylmethionine to S-adenosyl homocysteine] and plant growth did not change under a short-term La(III) exposure; with increased exposure time, the DNA methylation levels increased, along with the reduced one-carbon metabolism and improved growth (plant height, leaf number, leaf area, primary root length, lateral root number, and root hair number). However, the opposite changes were observed in the DNA methylation levels, one-carbon metabolism and growth under high-dose La(III) exposure. After adding DNA methylation inhibitor, La(III)-induced changes in plant growth were relieved, indicating that plant growth can be regulated by DNA methylation in the response to environmental REEs. Our study would provide references for revealing the mechanism of REEs acting on plants, scientifically assessing the environmental risk of REEs and alleviating the negative effects of REEs pollution.
Speaker verification based on 3D variational self-coding multi-tasking adversarial network
Authors: Liao Hong-heng , Xue Ya-juan
Published: September 2022

In this paper, we leverage the generative adversarial mechanism and multi-task optimization strategy to propose an architecture to enhance the accuracy of speaker verification. The proposed model can recognize both speaker's original features and their reconstructed features on the basis of the variational auto- encoder (VAE) and generative adversarial network (GAN). We term our method Multitasking Variational Autoencoder Generative Adversarial Networks (MTVAEGAN). The encoder in VAE aims at extracting target speech features and classifying to a specific target. The purpose of the generator in GAN is to generate perturbations that could make the target network misclassified as a specific target, while simultaneously fooling the discriminators by treating the adversarial examples as a beguine example. The discriminator exists to distinguish crafted examples from genuine samples. The classification is to classify the reconstructed data and drive the generator to produce more precise speech features. Experiments on short utterances demonstrates that MTVAEGAN increases the verification accuracy (ACC) by 11.52% (relatively) and 2.78% (relatively) over conventional 3DCNN method and MTGAN method respectively.
Association of Carotid and Vetebral Arterial Variations with Risk of Ischemic Stroke
Authors: Zhou Rui , Li Xiaoxiong , Li Jinping , Ma Linqiu , Hou Mingliang , Liu Dong , Tao Yong , Chen Le , Dong Shuyang , Yu Ke , Cui Ming , Hong Wenjuan , Wang Congguo , Tang Mingshan , LI Yafei , Cao Hongyuan , Yu Minmin , Yang Yonggao , Zhang Zhihong , Yang Heng , Zhong Hua , Yan Jiachuan , Li Xunjun , Zhan Qunling , Zhou Huadong
Published: September 2022

Background
With the wide application of computed tomography angiography (CTA), it is found that carotid and vertebral arterial variation has a high incidence in ischemic stroke. The aim of our study was to investigate the relationship between carotid and vertebral artery variants and the risk of ischemic stroke through a prospective and large sample study.
Methods
Carotid and vertebral arterial variations in consecutive subjects were prospectively studied using CTA. Variations of the carotid and vertebral arteries were classified into tortuosity, kinking and coiling using the criteria established by Weibel and Fields. Tortuosity is defined as a non-rectilinear stretch of an artery with an angulation > 90–165°. Kinking is described as an acute angle between two arterial segments ≤ 90°. Coiling is defined as a 360°. We analyzed the association between arterial variations and the risk of stroke using multivariate Cox proportional-hazards models.
Results
A total of 29319 subjects aged 50 years or older (14391 males and 14928 females) were examined for carotid and vertebral arterial variations. Among all subjects who completed the five-year follow-up, 1841 (6.3%) cases of stroke were detected. The proportion of kinking and coiling in the carotid and vertebral arteries in subjects with stroke was higher than that in subjects without stroke. Following adjustments for potential confounders, kinking and coiling of the carotid artery were significantly associated with stroke risk (HR = 1.47; 95% CI 1.32 to 1.64; P < 0.001), and kinking and coiling of the vertebral artery were also significantly associated with stroke risk (HR = 1.36; 95% CI 1.22 to 1.51; P < 0.001).
Conclusions
The results of the current study indicate that kinking and coiling in the carotid and vertebral arterial variations are associated with a significantly increased risk of ischemic stroke.
Discovery of extracellular electron uptake by the lactic acid bacterium Lactiplantibacillus plantarum
Authors: Tejedor-Sanz Sara , Li Siliang , Kundu Biki , Ajo-Franklin Caroline
Published: September 2022

Microorganisms utilize different electron donors and acceptors to gain energy from redox reactions. A subset of microorganisms that perform respiration can endogenously utilize insoluble electron donors, such as Fe(II) or a cathode, in a process called extracellular electron transfer (EET). However, it is unknown whether similar endogenous EET can be performed by primarily fermentative species like lactic acid bacteria. We report for the first time EET from a cathode by Lactiplantibacillus plantarum, a primarily fermentative bacteria found in the gut of mammals and in fermented foods. L. plantarum consumed electrons from a cathode and coupled this oxidation to the reduction of both an endogenous organic and an exogenous inorganic electron acceptor. This EET from a cathode reroutes glucose fermentation towards ATP generation routes and provides cells with a higher viability upon sugar exhaustion. Moreover, the associated genes and cofactors indicate that this pathway is distinct from any other known electron transport chains within the group of lactic acid bacteria. Our results expand our knowledge of the diversity of electroactive species and of the metabolic and bioenergetic strategies used by lactic acid bacteria.
Differential Subordination and Superordination Results for Analytic function associated with Pascal distribution
Authors: Saritha K. , Thilagavathi K.
Published: September 2022

In the present investigation, we obtain some subordination and superordinatin results involving Pascal distribution for certain normalized analytic functions in the open unit disk.Also we estimate the Sandwich results for the above class. AMS Subject Classification: 30C45, 30C50, 30C20, 30C80.
Manufacturing feature recognition method based on graph and minimum non-intersection feature volume suppression
Authors: Yan Hongxiang , Yan Chunping , Yan Ping , Hu Yuping , Liu Shibin
Published: September 2022

Automatic manufacturing feature recognition (AFR) is a critical technology for realizing CAD/CAPP/CAM integration in the era of intelligent manufacturing. Despite the numerous feature recognition approaches that have been proposed, the recognition of intersecting features remains a challenge. The most important reason is that the boundaries of features and their geometric topological information are altered or destroyed when interacting with other features. To address this problem, this paper proposes a manufacturing feature recognition method based on graph and minimum non-intersection feature volume suppression. Firstly, the geometric and topological information of a part is extracted and represented as an attributed adjacency graph. Then, a subgraph isomorphism algorithm is designed to recognize the features corresponding to each subgraph. After that, a method to construct and suppress the minimum non-intersection volume of the recognized features is introduced to repair the boundaries of intersecting features. On this basis, the intersecting features on the solid model are separated and recognized at different stages. The experimental results indicate that the proposed approach is effective in recognizing intersection features. Moreover, the recognition result of the proposed method incorporates the surface and volume of a feature, providing enriched feature information for engineering applications.
Synthesis of new coumarin based acetohydrazones and their correspounding oxadiazoles and oxadiazolines and the investigation of their keto-enol and/or amide–iminol tautomerization
Authors: Baharvand Narjes , Mottaghinejad Enayatollah , fardarani Mohsen Sargordan , Doust Reza Hosseini
Published: September 2022

Here we report the synthesis, structural identification and tautomeric behavior of new series of coumarin based hydrazide-hydrazones and their 1,3,4-oxadiazole and oxadiazoline derivatives. In fact The synthesis of 1,3,4-oxadiazoles and oxadiazoline bearing coumarin ring was intended for deducing the isomerization-tautomerization of their hydrazone precursors. Convectional synthesis of several coumarin-oxadiazole derivatives from starting compound, 4-Methylcoumarinyl-7-yl-oxymethyl acetic acid hydrazide has been accomplished. Both types of hydrogens: the hydrazone N-H and methylene protons can take part to tautomeric isomerization equilibria. According to the nmr investigation we found that the keto-enol tautomerization is more favored than amide-iminol. This concept was further established by converting the hydrazones to the corresponding 1,3,4-oxadiazoles and oxadiazolines according to the modified procedures.
Evaluation of the postoperative risk of deep tissue injury to the lower extremities following surgery in the lithotomy position
Authors: Yukizawa Yohei , Kobayashi Naomi , Kamono Emi , Takagawa Shu , Honda Hideki , Inaba Yutaka
Published: September 2022

Aims
The aim of this study was to determine the incidence of deep tissue injury (DTI) and its potential risk factors after surgery in the lithotomy position.
Methods
All patients who underwent surgery in the lithotomy position under general anesthesia at a single center between January 2015 and December 2019 were retrospectively evaluated. The medical records of these patients were reviewed, and patient demographic and clinical characteristics, surgical data, and occurrence of DTI were recorded.
Results
During the study period, 5146 patients, 2055 (39.9%) males and 3091 (60.1%) females, of mean age 57.3 ± 17.4 years, underwent surgery in the lithotomy position. Seven (0.14%) patients developed DTI on their calf following surgery. All presented with severe pain and swelling, requiring prolonged hospital stay. Multivariate analysis showed that male (odds ratio [OR]: 11.43; 95% confidence interval [CI]: 1.15–113.34, p = 0.037), higher BMI (OR: 1.32; 95% CI: 1.17–1.50, p = 0.0001), and longer operation time (OR: 1.01; 95% CI: 1.004–1.014, p = 0.0002) were independent risk factors for postoperative DTI. Optimal cut-off values for BMI and operation time were 23.5 kg/m2 (sensitivity 100%, specificity 64%) and 285 minutes (sensitivity 100%, specificity 90%), respectively.
Conclusion
Factors significantly associated with DTI include male sex, higher BMI, and prolonged operation time.
Numerical Modeling of soil-landscape relationships using diversity indices and conditional probability: A case study from an Iranian arid region
Authors: Bagheri-Bodaghabadi Mohsen , Jafari Azam , Zeraatpisheh Mojtaba , Owliaie Hamidreza , Finke Peter , Xu Ming
Published: September 2022

We quantified some mental and qualitative concepts about the soil-landscape relationships by numerical analysis of landforms in soil identification using diversity indices and conditional probability with a given sample size in Darab and Khosuyeh plains (a rural district) in the south of Iran in Fars province. The geomorphology map was prepared based on the Zinck method and used as a basic design for soil sampling. Finally, 200 soil profiles (0-150 cm) were excavated and described. Diversity indices and conditional probability were calculated based on soil taxonomic and geomorphological hierarchies. The results showed that diversity indices increase from landscape to landform level. The lowest and highest diversity indices were obtained at each geomorphic level for the soil order and soil family. The geomorphic diversity based on the soil taxonomy hierarchy showed that soil orders, including Entisols and Inceptisols, are observed in various landscapes and landforms. In contrast, some soil classes, such as Mollisols and its lower levels (suborder, great group, etc.), did not have geomorphic diversity. The conditional probability based on the geomorphological hierarchy indicated that the presence possibility of specific soil at the higher level (landscape) is less than, the lower level (landform), which indicates the more homogeneity of soils at lower geomorphic levels. However, the probability of observing a certain geoform increased according to the soil classification hierarchy, consistent with the results of diversity indices. The efficiency of diversity indices and conditional probability in showing the distribution and possibility of soil separation depends on the alignment of soil and geomorphological processes and the diagnosis of these processes.
Antioxidant and cytotoxic properties of nano and fermented-nano powders of wheat and rice by-products
Authors: Yousif El-Sayed , Yaseen Attia , Abdel-Fatah Abdel-Fatah , Shouk Abdel-Hafeez , Gdallah Mohamed , Mohammad Ayman
Published: September 2022

The use of fermentation and nano technology can promote the absorption efficiency and improve the functionality and the added value of cereal by-products. In this study, nano and fermented-nano powders of wheat and rice by-products were prepared by superfine grinding of raw and solid-state fermented materials. Effects of fermentation and superfine grinding on phytochemical, phenolic acids profile, antioxidant and cytotoxic activity were investigated. The results revealed that phenolic contents of fermented-nano wheat bran (FNWB), fermented-nano wheat germ (FNWG) and fermented-nano rice bran (FNRB) increased by 40.5, 59.2 and 27.9%, respectively compared to their raw samples. The free, conjugated and bound forms of most identified phenolic acids apparently increased. Also, the antioxidant activity of nano and fermented-nano forms significantly increased compared to raw materials. The cytotoxic activity of ultrafine ground samples increased compared to raw materials. NRB extract was the most effective treatment with IC50 value of 4.10 mg/mL. These results indicate that superfine grinding and solid state fermentation altered the rigid structure of wheat and rice by-products and increased their bioactivity through increasing the releasable bioactive molecules.
Neighborhood Matters! Evidence from Michigan Public Schools
Authors: Misra Kaustav , Linskey Evan
Published: September 2022

Discussion about improving public school performance is not a new debate. Questioning internal factors like teacher quality, gender ratio, class size, and students’ socioeconomic backgrounds to improve school performance are well researched but looking at it from community perspectives is a recently developed interest. Following Misra, Grimes and Rogers (2013), we are also trying to understand the importance of community where public schools operate. We randomly select three key community attributes: religious institution, higher education, and liquor license to understand how these external factors influence public school performance. Again, similar to Misra, Grimes and Rogers (2012), this paper uses Geographical Information Systems (GIS) to develop the community around a public school. Then we employed regression analysis to evaluate the relationship between the community attributes on standardized test scores. The results from this paper will provide Michigan policy makers and education administrators a different perspective to deal with statewide public school performance.
A comparative study of path loss models in the ultra-high frequency band in a vegetated environment
Authors: Obot Enobong Patrick , Onuu Michael Ugwu , Arikpo John Ubi , Nwosu Christian Nlemchukwu
Published: September 2022

With the additional challenge of forecasting a transmitter’s radio coverage region, radio propagation models concentrate on path loss realization. Empirical approaches are used in radio propagation models. Path loss models are essential in mobile radio systems for effective planning, as well as for calculations of interference, frequency assignments, and cell parameters-the fundamental building blocks of the network planning process. For a given scenario, they are created using a substantial amount of data collected. This work presents a comparative study of path loss models in the ultra-high frequency (UHF) band in vegetated environments of three cities in South Eastern Nigeria. The applicability of the computed empirical propagation models was confirmed using the practical measured data collected from the fields. The findings revealed that, in general, all the vegetated environments had path loss that was overestimated by the SUI and ECC-33 models. For any vegetated region of South Eastern Nigeria, the Hata’s model outperforms the other propagation models, with mean square error (MSE) values of 4.08 dB, 5.50 dB, and 3.75 dB respectively. The MSE value is below 6 dB, thus it is suitable for signal prediction.
Filling a Gap between Integrated Methods in the Digital Corpus
Authors: Cipriani Anna Maria
Published: September 2022

Digital technologies can be used to complement traditional descriptive translation studies (DTS) with various types of textual explorations. However, there is still a historical discrepancy between the digital corpus techniques applied to DTS drawing on corpus linguistics mainly focusing on linguistic features of translation and the DTS focusing on non-linguistic categories. Drawing on Zanettin’s (2011, 2013) proposed interpretative annotations, the methodology developed here extends the digital corpus approach to investigate whether and how the non-linguistic modernist features of Virginia Woolf’s To the Lighthouse are rendered in multiple (re)translations into Italian. This extension of the corpus approach fits with Bassnett’s and Lefevere’s (1990) ‘cultural turn’ from linguistic translation theories to Even-Zohar’s and Toury’s (1980, 1981) polysystems theory for contextual (historical, social, and cultural) explanations, which are the defining basis of the DTS approach. In the case study considered here, the exhaustive and complete analysis demonstrates that the multiple retranslations are ‘modernist’ only marginally.
Dose prediction for cervical cancer VMAT patients with a full-scale 3D-cGAN-based model and the comparison of different input data on the prediction results
Authors: Zhang Gongsen , Jiang Zejun , Zhu Jian , Wang Linlin
Published: September 2022

Purpose: To develop a 3D dose distribution prediction deep learning model for volumetric modulated arc radiotherapy (VMAT) of cervical cancer, and to explore the impact of different multichannel input data on the prediction accuracy, especially to prove the feasibility of dose prediction only based on computed tomography (CT) images and planning target volume (PTV) delineated contours. Methods: A total of 118 VMAT cases were collected, which were made into three datasets with different multichannel combinations. In addition to the clinical dose distribution data occupying one channel, the three datasets were as follows: Dataset-A, 7 channels, included CT images, the PTV and the organs at risk (OARs); Dataset-B, 2 channels included CT images and the PTV; Dataset-C, a single channel, included only CT images. A full-scale feature fusion 3D conditional generative adversarial network (cGAN) based dose distribution prediction architecture was proposed, with multiple losses function used as the optimization target. Under this framework, three models were obtained by training with the three datasets: Model-A, Model-B and Model-C. The following indicators were used to evaluate and compare the performance of the models: (1) the 3D dose difference map and the mean absolute error (MAE); (2) the dose-volume histogram (DVH) curve; (3) the dose index (DI) of the PTV and OARs; (4) the Dice similarity coefficient (DSC). Results: The proposed model accurately predicts the 3D dose distribution. For the twenty test patients, the MAE of Model-A is 1.1±0.2%, the MAE of Model-B and Model-C are 1.4±0.2%, and 1.9±0.3% respectively. There are no significant differences between the DIs of PTV (D99%, D98%, D95%, HI and CI) and OARs of Model-A and Model-B from the clinical result. The average DSC of Model-A with different isodose volumes is greater than 0.94. Model-B and Model-C follow with average DSCs greater than 0.91 and 0.86 respectively. Conclusion: We propose a new dose prediction model based on a full-scale fusion and generative adversarial architecture, confirming the feasibility of dose prediction based only on CT images and the PTV. The method proposed provides a simpler and more effective method for clinical dose assessment, radiotherapy planning assistance and automatic planning.
Machine Learning Based Prototype Working Model to Determine Category of Garbage Waste Using Raspberry Pi
Authors: Gupta Aadi , Gupta Nitin , Gupta Jyoti
Published: September 2022

Existing waste management ecosystem includes various steps like collecting the waste material from different places and transporting it to a waste treatment plant for treatment and disposal of waste. In urban and rural areas, the most important and basic step of segregation of waste is not followed properly by majority of the people. There are multiple factors attached to this root cause. Lack of awareness is one of the main reasons behind it, i.e., sometimes people themselves are not sure which dustbin to put the waste in as they are not sure on the category of the waste. As a result, people just throw the waste in the dustbin without recognizing the purpose of the deployed dustbin which defeats the overall objective of the waste management system. To address this problem, we have prepared a prototype working model using Raspberry Pi that runs a machine learning model to determine the category of the waste material and displays it on a display so that the person can decide whether to throw the waste material into a wet waste dustbin or dry waste dustbin. This prototype is one of the novel initiatives which will help the society in many ways and can be deployed in residential areas, malls, industrial areas, schools, hospitals, etc. The developed model will help the society and make them aware about disposing the waste material in a correct dustbin.
Trade Liberalization on Economic Growth in Nigeria (1981 – 2018). An Empirical Study
Authors: Ogundipe Michael , Adenekan Adesola
Published: September 2022

In this investigation, the effects of trade liberalization on Nigerian economic growth between 1981 and 2018 were examined. To ascertain if the dependent variable and the explanatory variables are temporally volatile, descriptive statistics were used. The relationships between the variables over the long and short terms were also investigated using the Augmented Dickey Fuller (ADF) unit root test. A co-integration test was run to ascertain whether there was a long-run relationship between the variables in order to validate the unit root test result. As a result, only foreign direct investment and labor are statistically significant in predicting economic growth in Nigeria in the short run; FDI is statistically significant at a level of 10%, while labor is statistically significant at a level of 5%. Gross capital formation, trade, and exchange rates have statistically negligible effects on how quickly the economy grows. All of the model's variables are statistically significant in the long run for predicting economic growth. At the 5% level of significance, every variable is statistically significant.
JEL code: F13, F14