bluuebunny/crossref_metadata_2025_split huggingface dataset:
Agenda 2030 y producción ecológica: la traducción agro-jurídica yen lo relativo al certificado (DE-ES)
Authors: Jiménez Domínguez Mar 
Published: April 2023

El presente trabajo se centra en el análisis del certificado (alemán-español) de productos ecológicos —expedidos por la UE y los respectivos países de las lenguas de trabajo— como género híbrido en el convive terminología jurídica y agroalimentaria. Por ello, en primer lugar, contextualizamos la relevancia de este sector desarrollando unas cuestiones previas en torno a la Agenda 2030 y los ODS. En segundo lugar, expusimos la normativa y la regularización de la Unión Europea respecto a este tipo de productos, así como también sus particularidades a nivel nacional tanto de Alemania como de España. En tercer lugar, elegimos como texto meta el Reglamento (CE) nº 2018/848 del Parlamento Europeo y del Consejo sobre producción ecológica y etiquetado de los productos ecológicos, centrándonos concretamente, en anexo VI en el que se expone el certificado tipo. Posteriormente, escogimos los términos con mayor densidad conceptual tanto desde un punto de vista jurídico como agroalimentario con tal de establecer cuáles prevalecían en el género híbrido elegido objeto de análisis.

The present work focuses on the German-Spanish analysis of certificates of organic products —issued by the EU and respective countries of working languages— as a hybrid genre in which coexisting legal and agri-food terminology. Therefore, fistly, we contextualize the relevance of this sector by developing some preliminary questions around the 2030 Agenda and the SDG. Secondly, we presented the regulations of the European Union regarding this type of products, as well as their particularities at the national level in both Germany and Spain. Third, we chose as target text Regulation (EU) 2018/848 of the European Parliament and of the Council on organic production and labeling of organic products, focusing on Annex VI in which type certificate is exposed. Subsequently, we chose terms with highest conceptual density both from a legal and agri-food point of view in order to establish which ones prevailed in hybrid genre chosen as the object of analysis
Strong Eastern Pacific El Niño events determine ENSO amplitude and asymmetry
Authors: Bayr Tobias , Lübbecke Joke , Latif Mojib 
Published: April 2023

Abstract
The El Niño/Southern Oscillation (ENSO) varied considerably over the last 140 years and the reason of that is under debate. The warm phase of ENSO is termed El Niño, the cold phase La Niña. Here we show that the difference between periods of high and low ENSO variability results mainly from the amplitude of Eastern Pacific (EP) El Niños, while the amplitudes of Central Pacific (CP) El Niños and La Niñas are comparable. Further, ENSO asymmetry and amplitude covary, suggesting that the number of strong EP El Niños dominates both. We find similar relations in the 40 historical runs of the Large Ensemble from the CESM1-CAM5-BGC model. Finally, the fraction of strong EP El Niños explains the spread in ENSO amplitude and asymmetry in preindustrial control simulations from the CMIP6 database. This study emphasizes the need of a better understanding of the deterministic and stochastic factors that are important for the development of strong EP El Niño events in observations and climate models.
Strain Rate Analysis of Efficient Honeycomb Sandwich Panels under Blast Load
Authors: Sawant Rashmi , Patel Murlidhar , Patel Shivdayal 
Published: April 2023

Abstract
Honeycomb sandwich panels are investigated for a broad range of areas as protective structures that can withstand blast loading. The advantage of these panels is that they are light in weight when compared to solid metal plates due to the hollow core and have high energy absorption capabilities. Due to their high bending stiffness, honeycomb sandwich panels have found applications in aerospace, automotive, marine, defense, and railway industries. In order to analyze the effect of blast loading on sandwich panels the experiments that need to be conducted are costly as well as time-consuming. Also, while conducting experiments with explosives, human safety is a major concern. Taking the aforementioned parameters into consideration, modeling and simulation of honeycomb sandwich panels is the better alternative. ABAQUS software has been used in this paper to study the behavior of metallic honeycomb sandwich panels (MHSP) with squared, hexagonal, and circular cores when subjected to blast loads of different kilograms of trinitrotoluene (TNT). The obtained simulation results show that circular core has higher blast resistance as compared to hexagonal and square cores. With the aim of optimizing blast protection characteristics of the sandwich model, effect of gel-filling and addition of Aluminium foamto hollow honeycomb core of the sandwich panelswas investigated.The face plate deflection and energy absorption capacity were found to have improved after these additions. Mass evaluation pertaining to reduction in plate deflection versus increase in weight of the sandwich panel after addition of gel and foam was also performed. The influence of strain rate on the deflection of blast-loaded sandwich panels was also studied. It was found that higher strain rates gave favourable results i.e., lower deformation values. Lastly, energy absorption study of all the various configurations of the sandwich panel was performed.
The precise reconstruction of the center of rotation in total hip arthroplasty after femoral neck fractures - a clinically crucial challenge
Authors: Nieschk Christopher , Abelmann-Brockmann Johanna , Lisitano Leonard , Fenwick Annabel , Röttinger Heinz , Ecker Michael , Mayr Edgar , Röttinger Timon 
Published: April 2023

Abstract
In past experiments based on 3-D models, medialization of the center of rotation (COR) in total hip arthroplasty (THA) with unilateral hip dysplasia showed a negative influence on the muscle strength of the abductors and the reaction force of the hip joint. The COR displacement was referenced to the healthy non-dysplastic hip and the results therefore might contradict given paradigms, where reduced hip loading forces are claimed to increase functional outcomes. The aim of this study was a clinical evaluation of the COR placement towards the patient’s recovery with respect to daily living ability and mobility using der Barthel index and the Parker mobility score (PMS). 110 patients who underwent THA after a femoral neck fracture between January 2019 and January 2021 were retrospectively evaluated towards their Barthel index on discharge (N = 68). 47 Patients were available for a follow up interview and were interviewed for the Barthel index and Parker Mobility Score (PMS) 6 and 12 months after surgery. COR medialization, superior COR displacement and especially the combination of both (superomedialization) leads to reduced mobility while inferior displacement leads to increased pain. According to our results we recommend an exact vertical COR-restoration, while horizontal medial displacement needs to be avoided.
Quantification for Food Inspection enabled by Hyperspectral Imaging System and Machine Learning
Authors: Kim Un Jeong , Lee Suyeon , Kim Hojung , Kim Hyochul , Kim Seok In , Roh Young-Geun , Son Hyungbin , Han Jeong Su , Choi Junhoe , kim Sungmin , Kim Soo Eon , Hwang Inho , Park Yeonsang , Yun Seokho 
Published: April 2023

Abstract
Several important sensory physical quantities exist but are difficult to quantify, including food freshness. With the aid of a hyperspectral imaging system (HIS) and machine learning (ML), meat freshness is converted into a measurable physical quantity, i.e., freshness index (F. I.), in this study. F. I. is defined from meat fluorescence, which has a strong correlation with bacterial density, using a line-scan-type HIS stimulated at 365 nm. Combined with ML techniques, hyperspectral images are processed more efficiently. By employing linear discriminant and quadratic component analyses for hyperspectral images, F. I. can be estimated from its decision boundary after hyperspectral images are taken at an unknown freshness state. Advanced sensing versatility utilized by computational sensing systems allows hyper-personalization and hyper-customization of human life with the aid of home appliances and smartphones.
Bei Mu Gua Lou San facilitates mucus expectoration by increasing surface area and hydration levels of airway mucus in an air-liquid-interface cell culture model of the respiratory epithelium
Authors: Groiss Silvia , Somvilla Ina , Daxböck Christine , Stückler Manuela , Pritz Elisabeth , Brislinger Dagmar 
Published: April 2023

Abstract
Background: Bei Mu Gua Lou San (BMGLS) is an ancient formulation known for its moisturizing and expectorant properties, but the underlying mechanisms remain unknown. We investigated dose-dependent effects of BMGLS on its rehydrating and mucus-modulating properties using an air-liquid-interface (ALI) cell culture model of the Calu-3 human bronchial epithelial cell line and primary normal human bronchial epithelial cells (NHBE), and specifically focused on quantity and composition of the two major mucosal proteins MUC5AC and MUC5B.
Methods: ALI cultures were treated with BMGLS at different concentrations over three weeks and evaluated by means of histology, immunostaining and electron microscopy. MUC5AC and MUC5B mRNA levels were assessed and quantified on protein level using an automated image-based approach. Additionally, expression levels of the major mucus-stimulating enzyme 15-lipoxygenase (ALOX15) were evaluated.
Results: BMGLS induced dose-dependent morphological changes in NHBE but not Calu-3 ALI cultures that resulted in increased surface area via the formation of herein termed intra-epithelial structures (IES). While cellular rates of proliferation, apoptosis or degeneration remained unaffected, BMGLS caused swelling of mucosal granules, increased the area of secreted mucus, decreased muco-glycoprotein density, and dispensed MUC5AC. Additionally, BMGLS reduced expression levels of MUC5AC, MUC5B and the mucus-stimulating enzyme 15-lipoxygenase (ALOX15).
Conclusions: Our studies suggest that BMGLS rehydrates airway mucus while stimulating mucus secretion by increasing surface areas and regulating goblet cell differentiation through modulating major mucus-stimulating pathways.
Secretion of endoplasmic reticulum protein VAPB/ALS8 requires topological inversion
Authors: Chihara Takahiro , Kamemura Kosuke , Kozono Rio , Okumura Misako , Koga Daisuke , Kusumi Satoshi , Sekine Sayaka , Kamiyama Daichi 
Published: April 2023

Abstract

VAMP-associated protein (VAP) is a type II integral transmembrane protein at the endoplasmic reticulum (ER). Mutations in human VAPB/ALS8 are associated with amyotrophic lateral sclerosis (ALS). The N-terminal major sperm protein (MSP) domain of VAPB (Drosophila Vap33) is cleaved, secreted, and acts as a signaling ligand for several cell-surface receptors. Although extracellular functions of VAPB are beginning to be understood, it is unknown how the VAPB/Vap33 MSP domain facing the cytosol is secreted to the extracellular space. Here we show that Vap33 uses the ER-Golgi conventional secretion pathway to reach the plasma membrane, where the MSP domain is exposed extracellularly by topological inversion. The externalized MSP domain is cleaved by Matrix metalloproteinase 1/2 (Mmp1/2). Overexpression of Mmp1 restores decreased levels of extracellular MSP domain derived from ALS8-associated Vap33 mutants. We propose an unprecedented secretion mechanism for an ER-resident membrane protein, which may contribute to ALS8 pathogenesis.
WITHDRAWN: The impact of environmental investment on corporate green performance: A mediated utility analysis based on technological innovation
Authors: Zhou Maochun , Gao Peiru 
Published: April 2023

Abstract
To a certain extent, environmental investment represents the extent of corporate efforts in environmental protection. Can corporate environmental investment improve corporate green performance? And what role does technological innovation play in the middle? Based on the data of A-share listed companies in China from 2015 to 2020, the article empirically examines the impact of environmental protection investment on corporate green performance. The results show that both environmental investment and technological innovation can enhance corporate green performance, and there is a significant positive spatial correlation; technological innovation can be a mediating variable of environmental investment affecting corporate green performance; and corporate efficiency investment plays a positive influence in the promotion of environmental investment on green performance. The study further substituted the proxy variables of technological innovation through placebo test, two-stage least squares and Sobel and Bootstrap tests for robustness. These tests support the findings of the study and suggest that environmental investments have a significant impact on the level of green performance of firms by stimulating technological innovation.
C.I.C.: F270.7
Wide-field calcium imaging of cortical activation and functional connectivity in externally- and internally driven locomotion
Authors: Ebner Timothy , West Sarah , Gerhart Morgan 
Published: April 2023

Abstract

The neural dynamics underlying self-initiated versus sensory driven movements is central to understanding volitional action. Upstream motor cortices are associated with the generation of internally-driven movements over externally-driven. Here we directly compare cortical dynamics during internally- versus externally-driven locomotion using wide-field Ca2+
imaging. We find that secondary motor cortex (M2) plays a larger role in internally-driven spontaneous locomotion transitions, with increased M2 functional connectivity during starting and stopping than in the externally-driven, motorized treadmill locomotion. This is not the case in steady-state walk. In addition, motorized treadmill and spontaneous locomotion are characterized by markedly different patterns of cortical activation and functional connectivity at the different behavior periods. Furthermore, the patterns of fluorescence activation and connectivity are uncorrelated. These experiments reveal widespread and striking differences in the cortical control of internally- and externally-driven
locomotion, with M2 playing a major role in the preparation and execution of the self-initiated state.
MD-ALL: an Integrative Platform for Molecular Diagnosis of B-cell Acute Lymphoblastic Leukemia
Authors: Gu Zhaohui , Hu Zunsong , Jia Zhilian , Liu Jiangyue , Mao Allen , Han Helen 
Published: April 2023

Abstract
B-cell acute lymphoblastic leukemia (B-ALL) consists of dozens of subtypes defined by distinct gene expression profiles (GEPs) and various genetic lesions. With the application of transcriptome sequencing (RNA-seq), multiple novel subtypes have been identified, which lead to an advanced B-ALL classification and risk-stratification system. However, the complexity of analyzing RNA-seq data for B-ALL classification hinders the implementation of the new B-ALL taxonomy. Here, we introduce MD-ALL (Molecular Diagnosis of ALL), a user-friendly platform featuring sensitive and accurate B-ALL classification based on GEPs and sentinel genetic alterations. In this study, we systematically analyzed 2,955 B-ALL RNA-seq samples and generated a reference dataset representing all the reported B-ALL subtypes. Using multiple machine learning algorithms, we identified the feature genes and then established highly accurate models for B-ALL classification using either bulk or single-cell RNA-seq data. Importantly, this platform integrates the key genetic lesions, including sequence mutations, large-scale copy number variations, and gene rearrangements, to perform comprehensive and definitive B-ALL classification. Through validation in a hold-out cohort of 974 samples, our models demonstrated superior performance for B-ALL classification compared with alternative tools. In summary, MD-ALL is a user-friendly B-ALL classification platform designed to enable integrative, accurate, and comprehensive B-ALL subtype classification.
“Shared experience makes this all possible”: documenting the guiding principles of staff providing peer-led services for people released from prison
Authors: Palis Heather , Young Pam , Korchinski Mo , Wood Shawn , Xavier Jessica , Luk Nelson , Mahil Simrat , Bartlett Sofia , Brown Helen , Salmon Amy , Nicholls Tonia , Slaunwhite Amanda 
Published: April 2023

Abstract
Background: There is a growing body of evidence demonstrating the effectiveness of peer-led services in supporting community reintegration for people released from prison. This study aims to describe the guiding principles that Unlocking the Gates Services Society (UTGSS) (a not-for profit organization) staff practice in the provision of peer-led services to clients released from prison.
Methods: Data were collected using focus groups (N=10; 2 groups with 5 participants each) and one-on-one interviews (N=5) including a total of 13 people, representing all UTGSS staff at the time of the study. An inductive thematic analysis was used to identify patterns in the data. Initial coding was done by using “in-vivo” codes (i.e. applying codes to terms used by participants). This informed the direction of the next stage of analysis, which focused on identifying categories that synthesized the codes and data across transcripts. In this stage, broad themes and sub-themes were developed.
Results: Four themes were constructed to reflect the guiding principles of UTGSS staff:
1) Offering hope; 2) Building respectful relationships; 3) Providing consistent support; 4) Meeting people where they are at. Two connected themes arose: 1) Relying on shared experience, which participants reported serves as the foundation for practicing these guiding principles and 2) Bridging connections to services, which reflects the outcome of practicing these guiding principles.
Conclusions: The principles identified in this study can be used by UTGSS staff as a guide for checking-in on progress with clients and may be considered as a model for reflection on practice by staff providing similar peer-led services. These principles should not be applied in a prescriptive way, as relationship building is at the centre of peer support, and different applications will be required depending on clients’ goals and the range of supports available within their community.
A Classification of Immunogenic Cell Death Predicts Prognosis in Kidney renal clear cell carcinoma
Authors: Qiu Qiangmin , Sun Kai , Li Chenyuan , Yao Xinrui , Li Zhiyu , Wang Zhong , Yao Feng 
Published: April 2023

Abstract
Immunogenic cell death (ICD) is a form of controlled cell death that affects the tumor microenvironment through damage-associated molecular patterns (DAMPs) such as CALR, ANXA1, CXCL10, HMGB1, ATP, and Type1 IFN. ICD is distinct from apoptosis, necroptosis, pyroptosis, and ferroptosis. Targeting ICD can influence cancer development in many preclinical studies. It is promising for clinical application. Herein, we used consensus clustering to classify Kidney renal clear cell carcinoma (KIRC) patients into high-ICD and low-ICD subtypes. We used univariate and multivariate Cox regressions, least absolute shrinkage and selection operator (LASSO) regression, and Kaplan-Meier (KM) survival analysis to create a predictive model for ICD. Our findings showed that high-ICD patients had better clinical outcomes, invasion of immune cells, and immunological response than low-ICD patients. Moreover, we identified six ICD-related genes in KIRC and discovered that LY96 regulates proliferation, migration, and invasion in KIRC. We established a categorization of immunogenic cell death for predicting prognosis in kidney renal clear cell carcinoma, which may be advantageous for immunotherapy of KIRC.
The Re-nonnegative definite and Re-positive definite solutions of the matrix equation AXB = C on a linear manifold
Authors: Li Sisi , Yuan Yongxin 
Published: April 2023

Abstract
Let SE = { X ∈ Cn×n | ∥ XD - Z ∥F = min, D, Z ∈ Cn×q } be a linear manifold of Cn×n. We will consider the Re-nonnegative definite (Re-nnd) and Re-positive definite (Re-pd) solutions of the matrix equation AXB = C on SE , and deduce the solvability conditions for the equation as well as the explicit expressions for the general Re-nnd and Re-pd solutions when the stated conditions hold.
MSC Classification: 15A24 , 15A57
COVision: Convolutional Neural Network for the Differentiation of COVID-19 from Common Pulmonary Conditions Using CT Scans
Authors: Parikh Kush , Mathew Timothy 
Published: April 2023

Abstract
With the growing amount of COVID-19 cases, especially in developing countries with limited medical resources, it is essential to accurately diagnose COVID-19 with high specificity. Due to characteristic ground-glass opacities (GGOs), present in both COVID-19 and other acute lung diseases, misdiagnosis occurs often — 26.6% of the time in manual interpretations of CT scans. Current deep learning models can identify COVID-19 but cannot distinguish it from other common lung diseases like bacterial pneumonia. COVision is a multiclassification convolutional neural network (CNN) that can differentiate COVID-19 from other common lung diseases, with a low false-positivity rate. This CNN achieved an accuracy of 95.8%, AUROC of 0.970, and specificity of 98%. We found statistical significance that our CNN performs better than three independent radiologists with at least 10 years of experience, especially at differentiating COVID-19 from pneumonia. After training our CNN with 105,000 CT slices, we analyzed our CNN’s activation maps and found that lesions in COVID-19 presented peripherally, closer to the pleura, whereas pneumonia lesions presented centrally. Finally, using a federated averaging model, we ensemble our CNN with a pretrained clinical factors neural network (CFNN) to create a comprehensive diagnostic tool.
Design and development of an electroanalytical sensor based on molecularly imprinted polyaniline for detection of thyroxine
Authors: Singh Deepanmol , Roy Souradeep , Mahindroo Neeraj , Mathur Ashish 
Published: April 2023

Abstract
Hypothyroidism and hyperthyroidism are one of the most frequently observed endocrine disorders in the world. Failure to undergo timely diagnosis and treatment often results in life-threatening events such as arrythmia, hypertension and cardiac arrest. Considering the various limitations of conventional diagnostic techniques, early, accurate and efficient diagnosis of these disorders is pivotal for their timely management. In the present work, a Molecularly Imprinted Polymer (MIP) based sensor is developed for the detection of thyroxine (T4) – the key biomarker. This has been achieved by templating T4 into polyaniline matrix supported on Indium Tin Oxide (ITO) coated glass electrodes. The chemical synthesis of polyaniline was done through oxidative polymerization and optimized using Response Surface Methodology (RSM). The optimum conditions for ultrasonication based extraction of T4 from polyaniline matrix was 15min at 30°C with 75mM NaOH. The developed MIP based sensor was characterized using chromatographic, spectroscopic and electrochemical techniques. The sensor calibration was obtained within T4 concentration range of 5pg/mL – 50pg/mL, with a calculated Limit of Detection (LoD) of7.96pM (6.16pg/mL). The developed MIP-based electroanalytical sensor was found to exhibit high degree of selectivity against various interferants, and thereby possessing huge prospects towards futuristic point-of-care applications.