bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wenn die Sprache zum Bild wird: Konkrete Metamorphosen in der Lyrik moderner katholischer Literatur – Konrad Weiß und Gerard Manley Hopkins
Authors: Voß Torsten 
Published: June 2021

Gdy język staje się obrazem: Konkretne metamorfozy we współczesnej liryce katolickiej – Konrad Weiß i Gerard Manley Hopkins
Dlaczego obrazowość poezji jest bliższa religii lub religijnemu doświadczeniu niż podporządkowany zinstrumentalizowanemu rozumowi język dyskursu? Być może dlatego, że jest on zbyt nastawiony na dialogiczność. Alternatywa opiera się na swoistości religijnego i estetycznego doświadczenia poza przyczynowo-praktyczną łącznością. W jaki sposób można to ukazać? W jaki sposób za pomocą języka i poprzez język zostaje przerwana komunikacja i jak przemawia język, gdy stara się on połączyć religię z poezją. Poglądowość oferuje swego rodzaju konkretyzację. Literatura stosuje zatem tropy, aby uniknąć rozległych i wieloznacznych opisów. Obraz wyostrza każde zjawisko i nadaje mu przedmiotowość lub symuluje formę dającej się uchwycić obecności, równocześnie nie sugeruje jednoznacznego odczytania.
Ta jego właściwość jest szczególnie ważna w obrębie sztuki sakralnej i ikonografii. Przedstawiciele współczesnej liryki katolickiej Konrad Weiß i Gerard Manley Hopkins sięgają po nią i łączą ją z oryginalnymi koncepcjami poetologicznymi. Redukcja aspektu znaczeniowego języka i obecność obrazu w słowie poetyckim prowadzi do celowego i jednocześnie kontemplacyjnego doświadczenia lub też rozważania/recepcji dzieła zbawienia i stworzenia oraz determinuje ukrytą funkcjonalność tego rodzaju poezji, która jest silnie związana z wyznaniem.

Warum kann sich eher die Dichtung mit ihrer Bildhaftigkeit an die Religion oder an religiöse Erfahrungen annähern als die einer instrumentellen Vernunft gehorchende Sprache des Diskurses? Vielleicht, weil letztere zu sehr auf Kommunikabilität und damit auf Dialogizität ausgerichtet ist. Die Alternative beharrt auf der Eigenart religiöser und ästhetischer Erfahrung, jenseits kausalpraktischer Vernetzbarkeit. Woran könnte das festgemacht werden? Wie wird mit und durch die Sprache Kommunikation unterbrochen und wie spricht wiederum diese Sprache, wenn sie Religion und Dichtung miteinander zu fusionieren trachtet? Anschaulichkeit bietet so etwas wie Konkretisation. Deshalb benutzt die Literatur den Apparat der Tropen, um langatmige und vieldeutige Umschreibungen zu vermeiden. Das Bild verdeutlicht einen Sachverhalt und macht ihn quasi gegenständlich bzw. simuliert eine Form von fassbarer Anwesenheit, ohne auf eine direkte Verständlichkeit hin ausgerichtet zu sein. Im Bereich der sakralen Kunst und Ikonographie ist derlei von großer Bedeutung und wird von Lyrikern einer modernen katholischen Literatur wie Konrad Weiß und Gerard Manley Hopkins aufgegriffen und mit einem eigenständigen poetologischen Konzept verbunden: Zu Ungunsten einer semantisierenden Sprache wird über die Anwesenheit des Bildes im lyrischen Wort eine gezieltere und zugleich kontemplativere Begegnung oder auch Betrachtung/Rezeption des Heils- und auch Schöpfungsgeschehens evoziert, worin die verborgene Funktionalität dieser stark konfessionsgebundenen Dichtung liegt.
Elaboração de muffins adicionados de espinafre e isentos de lactose e glúten
Authors: Ferreira Thales Henrique Barreto , Cunha Ana Larissa Teodoro da , Guimarães Rita de Cássia Avellaneda , Ito Felicia Migumi , Munhoz Cláudia Leite 
Published: June 2021

Devido à preocupação com a manutenção da saúde, juntamente com o aumento de pessoas com restrições alimentares, principalmente alergias e intolerâncias, se fez necessário a elaboração de produtos que atendesse esse público. Neste sentido, este estudo teve como objetivo à elaboração e caracterização de muffins adicionados de espinafre e isentos de lactose e glúten, a fim de atender pessoas portadoras de alergias e intolerâncias. Foram elaboradas quatro formulações de muffins: F1 (formulação padrão: sem adição de espinafre, F2 (formulação com adição de 25% de folhas de espinafre), F3 (formulação com adição de 50% de folhas de espinafre), F4 (formulação com adição de 75% de folhas de espinafre) mantendo a proporção para os demais ingredientes. Foi realizada a caracterização física, química, microbiológica e sensorial. A inserção de espinafre conferiu diminuição no diâmetro e na espessura dos muffins, com variação de até 8%. O teor de umidade teve aumento à medida que aumentou a quantidade de espinafre. Os muffins apresentaram cor com tonalidade para o preto e verde. Todas as formulações apresentaram estabilidade microbiológica. A aceitabilidade sensorial foi expressiva, com notas superiores a 6, sendo as amostras preferidas aas formulações F1 e F2. Assim, foi observada viabilidade na produção de muffins adicionados de espinafre e isentos de lactose e glúten. Todas as formulações apresentaram estabilidade física, química e microbiológica, sendo considerados aptos ao consumo.
Comparison of Outcomes After Robotic-Assisted or Conventional Total Hip Arthroplasty at a Minimum 2-Year Follow-up
Authors: Sweet Matthew C. , Borrelli George J. , Manawar Shaan S. , Miladore Nicholas 
Published: June 2021

Background:
This systematic review aimed to present an updated analysis of the evidence comparing outcomes between robotic-assisted total hip arthroplasty (robotic THA) and conventional manual total hip arthroplasty (manual THA).

Methods:
A PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) systematic review was performed using the Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, PubMed, MEDLINE, and Embase. Controlled studies comparing primary robotic THA and manual THA utilizing patient-reported outcome measures (PROMs) at a minimum follow-up of 2 years were included. We also compared radiographic outcomes, dislocation rates, and revision surgical procedures between groups. The ROBINS-I (Risk of Bias in Non-Randomized Studies - of Interventions) and Cochrane Risk of Bias 2.0 tools were used to assess study quality and risk of bias.

Results:
Of 765 studies identified, 7 articles comparing robotic THA with manual THA met inclusion criteria. A total of 658 patients were assessed, 335 of whom underwent robotic THA. The majority of studies found no significant differences (p > 0.05) in PROMs between the 2 techniques. Two low-quality studies (Level III) found significantly better postoperative PROMs favoring robotic THA at 2 years. When assessing radiographic outcomes, 6 studies showed that robotic THA resulted in more consistent and accurate component placement. No differences in postoperative dislocations, complications, or revision rates were found between groups except in 1 study, which found significantly more dislocations and revisions in the robotic THA cohort. Reported operative times were a mean of 12 to 25 minutes longer when using robotic THA.

Conclusions:
The existing literature comparing robotic THA and manual THA is scarce and low-quality, with findings limited by methodological flaws in study design. Although evidence exists to support increased accuracy and reproducibility of THA component placement with robotic THA, this has not been shown to reduce postoperative dislocation and revision rates. Based on the available evidence, functional outcomes are comparable between techniques, and robotic THA appears to be associated with longer operative times. To fully evaluate the utility of robotic THA, additional well-designed, prospective controlled studies with continuous long-term monitoring are required.

Level of Evidence:
Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
Automatic linear measurements of the fetal brain on MRI with deep neural networks
Authors: Avisdris Netanell , Yehuda Bossmat , Ben-Zvi Ori , Link-Sourani Daphna , Ben-Sira Liat , Miller Elka , Zharkov Elena , Ben-Bashat Dafna , Joskowicz Leo 
Published: June 2021

Abstract
Purpose: Timely, accurate and reliable assessment of fetal brain development is essential to reduce short and long-term risks to fetus and mother. Fetal MRI is increasingly used for fetal brain assessment. Three key biometric linear measurements important for fetal brain evaluation are Cerebral Biparietal Diameter (CBD), Bone Biparietal Diameter (BBD), and Trans-Cerebellum Diameter (TCD), obtained manually by expert radiologists on reference slices, which is time consuming and prone to human error. The aim of this study was to develop a fully automatic method computing the CBD, BBD and TCD measurements from fetal brain MRI.Methods: The input is fetal brain MRI volumes which may include the fetal body and the mother's abdomen. The outputs are the measurement values and reference slices on which the measurements were computed. The method, which follows the manual measurements principle, consists of five stages: 1) computation of a Region Of Interest that includes the fetal brain with an anisotropic 3D U-Net classifier; 2) reference slice selection with a Convolutional Neural Network; 3) slice-wise fetal brain structures segmentation with a multiclass U-Net classifier; 4) computation of the fetal brain midsagittal line and fetal brain orientation, and; 5) computation of the measurements. Results: Experimental results on 214 volumes for CBD, BBD and TCD measurements yielded a mean difference of 1.55mm, 1.45mm and 1.23mm respectively, and a Bland-Altman 95% confidence interval (I of 3.92mm, 3.98mm and 2.25mm respectively. These results are similar to the manual inter-observer variability, and are consistent across gestational ages and brain conditions.Conclusions: The proposed automatic method for computing biometric linear measurements of the fetal brain from MR imaging achieves human level performance. It has the potential of being a useful method for the assessment of fetal brain biometry in normal and pathological cases, and of improving routine clinical practice.
A Secure Anonymous D2D Mutual Authentication and Key Agreement Protocol for IoT Environments
Authors: Hajian Rahman , Haghighat Abbas , Erfani S.Hossein 
Published: June 2021

Abstract
Internet of Things (IoT) is a developing technology in our time that is prone to security problems as it uses wireless and shared networks. A challenging scenario in IoT environments is Device-to-Device (D2D) communication that an authentication server as a trusted third-party, does not involve in the authentication and key agreement process. It is only involved in the process of allocating long-term secret keys and their update. A lot of authentication protocols have been suggested for such situations. This article demonstrated that three state-of-the-art related protocols failed to remain anonymous, insecure against key compromise impersonation (KCI) attack, and clogging attack. To counter the pitfalls of them, a new D2D mutual authentication and key agreement protocol is designed here. The proposed protocol is anonymous, untraceable, and highly secure. Moreover, there is no need for a secure channel to generate a pair of private and public keys in the registration phase.) Formal security proof and security analysis using BAN logic, Real-Or-Random (ROR) model, and Scyther tool showed that our proposed protocol satisfied security requirements. Furthermore, communication cost, computation cost, and energy consumption comparisons denoted our schema has better performance, compared to other protocols.
A Deep Learning Approach for Classification and Diagnosis of Parkinson’s Disease
Authors: Jyotiyana Monika , Kesswani Nishtha , Kumar Munish 
Published: June 2021

Abstract
Deep learning techniques are playing an important role in the classification and prediction of diseases. Undoubtedly deep learning has a promising future in the health sector, especially in medical imaging. The popularity of deep learning approaches is because of their ability to handle a large amount of data related to the patients with accuracy, reliability in a short span of time. However, the practitioners may take time in analyzing and generating reports. In this paper, we have proposed a Deep Neural Network-based classification model for Parkinson’s disease. Our proposed method is one such good example giving faster and more accurate results for the classification of Parkinson’s disease patients with excellent accuracy of 94.87%. Based on the attributes of the dataset of the patient, the model can be used for the identification of Parkinsonism's. We have also compared the results with other existing approaches like Linear Discriminant Analysis, Support Vector Machine, K-Nearest Neighbor, Decision Tree, Classification and Regression Trees, Random Forest, Linear Regression, Logistic Regression, Multi-Layer Perceptron, and Naive Bayes.
Survival Prediction By Baseline Systemic Immune-Inflammation Index And Its Changes During First-Line Platinum-Based Treatment In A Caucasian Population Of Patients With Metastatic Urothelial Carcinoma
Authors: Palacka Patrik , Slopovsky Jan , Obertova Jana , Chovanec Michal , Rejlekova Katarina , Sycova-Mila Zuzana , Kollarik Boris , Mardiak Jozef , Mego Michal 
Published: June 2021

Abstract
Background: Systemic immune-inflammation index (SII) predicts survival in patients with various malignancies. This study explores the prognostic value of SII in metastatic urothelial carcinoma (MUC) subjects.Methods: We evaluated 181 consecutive MUC (148 bladder, 27 upper tract) patients (135 men) treated with first-line platinum-based therapy. Karnofsky performance status <80% and visceral metastasis were present in 18.2% and 46.4%, respectively. SII was based on platelet x neutrophil/lymphocyte counts. Study population was dichotomized by median into high SII and low SII groups before the initiation of chemotherapy (median 1326) and at week 6 (median 705). Progression-free survival (PFS) and overall survival (OS) were estimated by the Kaplan-Meier method and compared with log-rank test. Results: At median follow-up of 9.6 months (range 1.7-191.1 months), 174 patients (96.1%) experienced disease progression and 173 (95.6%) died. Subjects with low SII at baseline and at week 6 had significantly better PFS (HR 0.58; P = 0.0002 and HR 0.55; P < 0.0001) and OS (HR 0.54; P < 0.0001 and HR 0.54; P < 0.0001) compared to patients with high SII. Independent prognostic value of SII was confirmed in a multivariate analysis. Patients with low SII at baseline and at week 6 had significantly better PFS and OS compared to patients with high SII at both timepoints (P < 0.0001).Conclusion: High SII before chemotherapy that persists at week 6 negatively affects survival. SII at baseline can be used in stratification of patients within clinical trials and in clinical practice.
Hypoxia-Associated Prognostic Markers and Competing Endogenous RNA Co-Expression Networks in Lung Adenocarcinoma
Authors: Xiong Lecai , Zhou Xiao , Cai Yi , Dai Peng , Zhao Jinping , Zhou Xuefeng , Tang Hexiao 
Published: June 2021

Abstract
Background: Lung adenocarcinoma (LUAD) is the most common form of non-small-cell lung cancer (NSCLC). Hypoxia has been found in 50 – 60% of locally advanced solid tumors and shown to be associated with poor prognosis in a variety of tumors, including NSCLC. The study focused on the hypoxia associated molecular hallmarks in LUAD.Methods: 15 hypoxia related genes were selected to define the hypoxia status of LUAD by ConsensusClusterPlus based on the data from The Cancer Genome Atlas(TCGA). Then, we investigate the immune status under different hypoxia status. Subsequently, we constructed prognostic models based on hypoxic-related differentially expressed genes (DEGs), identified hypoxia-related microRNAs, lncRNAs and mRNAs, and built a network based on the competing endogenous RNAs (ceRNAs) theory.Results: Two clusters (cluster1 and cluster2) were identified with different hypoxia status, cluster 1 was defined as the hypoxia subgroup, in which all 15 hypoxia-associated genes were upregulated. The infiltration of CD4 + T cells and Tfh cells was lower, while the infiltration of regulatory T (Treg) cells, the expression of PD-1/PD-L1 and TMB were higher in cluster 1, which indicated immunosuppressive status. Based on the DEGs, a risk signature containing 7 genes was established. Furthermore, three differentially expressed microRNAs (hsa-miR-9, hsa-miR-31, hsa-miR-196b) associated prognostic under different hypoxia clusters and its related mRNAs, lncRNAs were identified, then built a ceRNAs network.Conclusion: This study showed that hypoxia was associated with poor prognosis in LUAD and explored the potential mechanism from the perspective of gene signature and ceRNA theory.
Flow Induced By A Rotating Microchannel-A Numerical Study
Authors: Ali Kashif , Ahmad Shahzad , Ahmad Anique , Ali Faisal 
Published: June 2021

Abstract
In this paper, a mathematical foundation has been developed for the primary understanding of complex interaction of the wall slip with the Coriolis and Lorentz forces acting orthogonally on the Electromagnetohydrodynamic (EMHD) flow of a power-law fluid in a microchannel. Modified Navier Stokes equations are solved numerically by incorporating the fully implicit computational scheme with suitable initial and boundary conditions, which generates numerical results in excellent comparison with the literature for a certain limiting case. An extensive effort has been made to understand how the Hartmann number, fluid behavior index, rotating Reynolds number, and slip parameter affects the flow. Results show the velocity of the power-law fluid depends strongly on flow parameters. Critical Hartmann number can be obtained for the power-law fluid in presence of uniform electric and magnetic fields. As a promising phenomenon, existence of a cross over point (which depends upon the fluid behavior index) for the centerline flow velocity, has also been predicted. Reduction in the shear stress and fluid viscosity can be controlled effectively by incorporating a slippery film of lubricant on the periphery of the microchannel. This work is useful to meet the upcoming challenges of future generation, like improvement in bio-magnetic-sensor technologies as well as electrical and mechanical mechanisms.
Viral ADP-ribosyltransferases attach RNA chains to host proteins
Authors: Höfer Katharina , Schauerte Maik , Grawenhoff Julia , Wulf Alexander , Welp Luisa , Billau Franziska , Urlaub Henning , Jäschke Andres 
Published: June 2021

Abstract
The mechanisms by which viruses hijack their host’s genetic machinery are of enormous current interest. One mechanism is adenosine diphosphate (ADP) ribosylation, where ADP-ribosyltransferases (ARTs) transfer an ADP-ribose fragment from the ubiquitous coenzyme nicotinamide adenine dinucleotide (NAD) to acceptor proteins. When bacteriophage T4 infects Escherichia coli, three different ARTs reprogram the host’s transcriptional and translational apparatus. Recently, NAD was identified as a 5’-modification of cellular RNA molecules in bacteria and higher organisms. Here, we report that bacteriophage T4 ARTs accept not only NAD, but also NAD-RNA as substrate, thereby covalently linking entire RNA chains to acceptor proteins in an “RNAylation” reaction. One of these ARTs, ModB, efficiently RNAylates its host protein target, ribosomal protein S1, at arginine residues and strongly prefers NAD-RNA over NAD. Mutation of a single arginine at position 139 abolishes ADP-ribosylation and RNAylation. Overexpression of mammalian ADP-ribosylarginine hydrolase 1 (ARH1), which cleaves arginine-phosphoribose bonds, shows a decelerated lysis of E. coli when infected with T4. Our findings not only challenge the established views of the phage replication cycle, but also reveal a distinct biological role of NAD-RNA, namely activation of the RNA for enzymatic transfer. Our work exemplifies the first direct connection between RNA modification and post-translational protein modification. As ARTs play important roles in different viral infections, as well as in antiviral defence by the host, RNAylation may have far-reaching implications.
Effects of the First 1,000 Days Systems-Change Intervention on Obesity Risk Factors During Pregnancy
Authors: Simione Meg , Moreno-Galarraga Laura , Perkins Meghan , Price Sarah N. , Luo Man , Kotelchuk Milton , Blake-Lamb Tiffany L. , Taveras Elsie M. 
Published: June 2021

Abstract
Background: First 1,000 Days is a systems-oriented program starting in early pregnancy lasting through the first 24 months of infancy focused on preventing obesity and related risk factors among low income, mother-infant pairs. The program was developed in partnership with stakeholders to create an infrastructure for system-wide change. It includes screening for adverse health behaviors and socio-contextual factors, patient navigation and educational materials to support behavior change and social needs, and individualized health coaching for women at highest risk of obesity and has been shown to reduce excess gestational weight gain for women who were overweight at the start of their pregnancy. Methods: We collected information through self-administered questionnaires during the first and third trimester of gestation and from electronic health records relating to obesity risk factors. Measures collected included behavior (i.e., diet, physical activity and screen time) and psychosocial outcomes, as well as enrollment in Women, Infant, and Children (WIC) program. We examined the extent to which participation in the program was associated with changes in behaviors and psychosocial outcomes among women during pregnancy.Results: Women completed surveys at their initial and third trimester prenatal visits (n=264). Mean age (SD) was 30.2 (5.51) years and 75% had an annual household income of <$50,000. Mean pre-pregnancy body mass index (BMI) was 27.7 kg/m2 and 64% started pregnancy with a BMI ≥ 25 kg/m2. In multivariable adjusted models, we observed decreases in intake of sugary-drinks (-0.96 servings/day; 95% CI: -1.86, -0.06) and in screen time (-0.21 hours/day; 95% CI: -0.40, -0.02), and an increase in physical activity (0.87 days/week; 95% CI: 0.56, 1.17) from the first to third trimester. We also observed a decrease in pregnancy-related anxiety score (-1.06 units; 95% CI: -1.32, -0.79) and higher odds of enrollment in Women, Infant, and Children (WIC) program (OR: 2.58; 95% CI: 1.96, 3.41). Conclusions: Our findings suggest that a systems-oriented prenatal intervention is associated with improvements in behaviors and psychosocial outcomes during pregnancy among low-income mothers.Trial registration: ClinicalTrials.gov (NCT03191591; Retrospectively registered on June 19, 2017)
Bioethanol Production from Enzymatic Hydrolyzates of Pretreated Flaxseed Meals by Baker’s Yeast
Authors: GHOSAL SAHELI , BHOWAL JAYATI 
Published: June 2021

Abstract
The present study investigated the usefulness of flaxseed meals as a novel feedstock for the production of bioethanol. The proximate composition of the flaxseed meal was carried out before the pretreatment of the flaxseed meal. In this study, flaxseed meal was pretreated with dilute acid, alkali, and aqueous for disruption of lignocellulosic compounds. The acid pretreated flaxseed meal was used for enzymatic hydrolysis by different enzymes (cellulase, α-amylase, and cellulase combined with α-amylase) for better release of reducing sugar. The cellulose conversion to reducing sugar was significantly higher for acid pretreated flaxseed meals. After enzymatic hydrolysis with cellulase, cellulose conversions to reducing sugars were found to be significantly higher than those of α-amylase and cellulase combined with α-amylase. The bioethanol production was also investigated. The fermentation process was carried out by using baker’s yeast (Saccharomyces cerevisiae) with the acid pretreated flaxseed meal enzymatic hydrolyzate. Maximum ethanol production (0.11 g/l) was achieved from the fermented medium obtained from the acid pretreated flaxseed meal followed by enzymatic hydrolysis by using cellulase enzyme. The structural analysis of bioethanol was also investigated by FTIR.