bluuebunny/crossref_metadata_2025_split huggingface dataset:
SELF-ASSESSMENT OF PROSPECTIVE ENGINEERS’ CAREER MANAGEMENT IN THE CONTEXT OF QUANTUM TRANSITION THEORY IN SOCIAL SCIENCES
Authors: Baltusite Regina , Katane Irena 
Published: December 2023

We live in a changing and complex world open for potential personal development. At the same time, the Earth is moving to a new level, from a 3-dimensional to a 5-dimensional level. This process is called the quantum transition. Nowadays career management theories are developing and changing under the influence of the quantum transition paradigm, thus the perception of career and the understanding of career have also changed. A career covers the whole life of a person and is individually driven. So, we can speak of a self-directed personal career, which is connected with finding one’s mission in life, one’s vocation. So, moving into the fourth and fifth dimensions opens up more possibilities for finding your purpose: 1) motivated individual choice; 2) career management based on that choice; 3) transition from survival to mission; 4) access to the information field of the Universe; 5) discovery of new abilities – telekinesis, teleportation, clairvoyance, clairaudience, etc. The article considers the notion of the quantum transition, career, career management and the characteristics of the Generation Z from the perspective of various authors. The analysis is carried out by assessing the data acquired on the specific features of the existent career management and the possibilities which provides the current situation for the engineers-to-be. The research aim is to study the specific features of the career management of the prospective engineers in the perspective of the quantum transition. The obtained high-level results testify that engineering students have sufficient employability potential, which largely indicates their competitiveness. The obtained low-level results indicate that the students are not yet ready to lifelong learn and develop professionally throughout his life, is not ready for changes in his chosen career, which indicates a certain inflexibility in thinking and acting. It is precisely these qualities that are very necessary in self-management of a sustainable career. This means that career support services should continue to be offered to promote career self-development and self-management under changing conditions (closely related to quantum transition theory). During the formative (pedagogical) experiment, significant and very significant changes occurred in students' self-assessments according to the following criteria: students' internal and external resources, competitiveness in the chosen profession (p value = 0.005 ... 0.018). This means that during the survey, the self-assessment of internal resources according to these indicators was influenced by the information obtained during the survey from the content of the questionnaire, which allowed for a more adequate self-assessment at the end of the experiment.
Detecting Repeating Earthquakes on the San Andreas Fault with Unsupervised Machine Learning of Spectrograms
Authors: Sawi Theresa , Waldhauser Felix , Holtzman Benjamin K. , Groebner Nate 
Published: December 2023

Abstract
Repeating earthquakes—sequences of colocated, quasi-periodic earthquakes of similar size—are widespread along California’s San Andreas fault (SAF) system. Catalogs of repeating earthquakes are vital for studying earthquake source processes, fault properties, and improving seismic hazard models. Here, we introduce an unsupervised machine learning-based method for detecting repeating earthquake sequences (RES) to expand existing RES catalogs or to perform initial, exploratory searches. We implement the “SpecUFEx” algorithm (Holtzman et al., 2018) to reduce earthquake spectrograms into low-dimensional, characteristic fingerprints, and apply hierarchical clustering to group similar fingerprints together independent of location, allowing for a global search for potential RES throughout the data set. We then relocate the potential RES and subject them to the same detection criteria as Waldhauser and Schaff (2021). We apply our method to ∼4000 small (ML 0–3.5) earthquakes located on a 10 km long segment of the creeping SAF and double the number of detected RES, allowing for greater spatial coverage of slip-rate estimations at seismogenic depths. Our method is novel in its ability to detect RES independent of initial locations and is complimentary to existing cross-correlation-based methods, leading to more complete RES catalogs and a better understanding of slip rates at depth.
FLORÍSTICA Y SISTEMÁTICA FILOGENÉTICA INNECESARIAMENTE DISYUNTAS: EL CASO DE ARISTOLOCHIA, EUGLYPHA Y HOLOSTYLIS (ARISTOLOCHIACEAE)
Authors: González Favio 
Published: December 2023

En la reciente monografía de Aristolochiaceae para la Flora del Paraguay, se retomó la delimitación tradicional de Aristolochia con respecto a los géneros monotípicos Euglypha y Holostylis. La presencia de sinapomorfías morfológicas y moleculares de Aristolochia en Euglypha y Holostylis, así como la reevaluación de los rasgos diagnósticos y diferenciales de Euglypha y Holostylis, que resultan ser ambiguos, homoplásicos, clinales o propios de semaforontes florales tardíos, aportan evidencia concluyente para subordinar a E. rojasiana y H. reniformis en Aristolochia. El reconocimiento de Aristolochia, tal como el seguido en la monografía mencionada, implica la parafilia de este taxón, lo cual va en contra de los principios lógicos de la sistemática filogenética. Los análisis filogenéticos de las Aristolochiaceae basados en caracteres morfológicos y moleculares aportan evidencia suficiente para incluir a Euglypha y Holostylis dentro de Aristolochia, ya que resultan anidados en el clado formado por los subgéneros Aristolochia + Pararistolochia, y dentro de éste, en el subgénero Aristolochia, y más exactamente en la sección americana Gymnolobus.
CÁLCULO EFICIENTE DEL ESTIMADOR JACKINIFE PARA MÍNIMOS CUADRADOS LINEALES DE RANGO DEFICIENTE
Authors: Martínez Héctor Jairo , Sanabria R Ana María 
Published: December 2023

En este artículo, extendemos al problema de mínimo cuadrados lineales de rango deficiente, el resultado presentado en [Martínez-Sanabria, 2006], el cual reduce de m n2/(m − 1)/2+n(m − 1) +n3/6 to m[3n + n2] el costo del algoritmo standard para calcular el estimador jackknife para mínimo cuadrados lineales de rango completo.
Policy coherence for vulnerability in migration. The crossroads of migrant integration governance
Authors: Moldes-Anaya Sergio , Sommarribas Adolfo 
Published: December 2023

International migration is a multidimensional reality of great relevance for the development of countries of origin, transit, and destination, which requires coherent and comprehensive responses from governments. The objectives of this work are threefold. The first objective is to provide an overview of the levels of integration in the European context through reviewing policy indicators related to the vulnerabilities to which migrants are exposed. This objective draws on the Migration Policy Index for Integration (MIPEX) and a review of reports of the European Migration Network Luxembourg. The second objective, identifying differences in the levels of protection perceived by racial minority groups in the selected case countries, is achieved by using data from the European Social Survey. Finally, the need for a policy coherence approach to vulnerability in migration will be addressed as a proposal for a trade-off between sectoral dimensions and a strategy for mitigating the vulnerabilities identified.Received: 30 May 2023 Accepted: 12 November 2023
La interseccionalidad de la discriminación por razones de género, raza y etnia de las mujeres solicitantes de asilo víctimas de violencia de género en la UE. Especial referencia a la situación italiana
Authors: Vigano Natalia Elizabeth 
Published: December 2023

Al adentrarnos en el estudio de la situación de las mujeres y niñas que solicitan asilo en la Unión Europea (UE), se evidencian de manera casi inmediata factores de discriminación, tales como el género y la etnia, que condicionan prácticamente la totalidad de su proceso migratorio. Un gran número de mujeres migrantes, en especial aquellas que son víctimas de violencia de género, no solo se encuentran sometidas a un sistema sexista y patriarcal, sino que, además, su origen étnico las sitúa en una posición de extrema vulnerabilidad. En ese sentido, procederemos a abordar, desde una perspectiva interseccional, el género y la etnia como factores de discriminación y subordinación, a través del análisis de la normativa adoptada en el marco del Derecho europeo, así como su implementación en la legislación de Italia como Estado miembro de la UE, a los fines de conocer el alcance de la protección ofrecida a las mujeres migrantes que son víctimas de violencia y persecución por motivos de género.Recibido: 31 mayo 2023 Aceptado: 30 noviembre 2023
LapEmerge-trial: laparoscopic approach for emergent colon resection; a multicentre, open label, randomized controlled trial.
Authors: Grönroos-Korhonen Marie Terese , Kössi M. Jyrki Aimo Olavi 
Published: December 2023

Abstract
Background
Because of faster recovery and less morbidity, laparoscopy has become the golden standard in elective colorectal surgery both for benign and malignant disease. A substantial portion of colorectal surgery is however carried out in emergency settings and most of the emergency resections are still performed open. The aim of this study is to compare laparoscopic versus open approach for emergency colorectal surgery.
Method/Design
This is a multicenter prospective randomized controlled trial including adult patients presenting with a condition requiring emergency colorectal resection.
Discussion
Previous studies cautiously recommend wider use of laparoscopy in emergency colorectal resections, but all earlier reports are retrospective, mostly single center studies and have limited number of patients. There might be unpredictable risks with laparoscopy yet not reported because of infrequent use of the technique. A prospective randomized controlled trial is urgently needed to assess the safety of laparoscopy as well as advantages and disadvantages between open and laparoscopic emergency surgery.
Trial registration number: NCT05005117, URL: https://trialsearch.who.int/Trial2.aspx?TrialID=NCT05005117
Tariff Evasion, the Trade Gap, and Structural Trade
Authors: Studnicka Zuzanna 
Published: December 2023

Abstract
While it is well-recognized that there are differences in the trade values reported by exporters and importers, a literature has emerged linking this trade gap to tariff evasion. These efforts, however, lack a structural theoretic underpinning and limit their product-level investigations to a small number of countries. My first contribution is to provide a structural model of endogenous tariff evasion, one which then highlights the importance of both tariffs and border enforcement. My second contribution is to use a global, product-level dataset from 2002-2019, the analysis of which is consistent with my model's predictions.
JEL classification: F13, F14, H26.
Skin-inspired, sensory robots for electronic implants
Authors: Bai Wubin , Zhang Lin , Xing Sicheng , Yin Haifeng , Weisbecker Hannah , Tran Hiep Thanh , Guo Ziheng , Han Tianhong , Wang Yihang , Liu Yihan , Wu Yizhang , Xie Wanrong , Huang Chuqi , Luo Wei , Demaesschalck Michael , McKinney Collin , Hankley Samuel , Huang Amber , Brusseau Brynn , Messenger Jett , Zou Yici 
Published: December 2023

Abstract

Living organisms with motor and sensor units integrated seamlessly demonstrate effective adaptation to dynamically changing environments. Drawing inspiration from cohesive integration of skeletal muscles and sensory skins in these organisms, we present a design strategy of soft robots, primarily consisting of an electronic skin (e-skin) and an artificial muscle, that naturally couples multifunctional sensing and on-demand actuation in a biocompatible platform. We introduce an in situ solution-based method to create an e-skin layer with diverse sensing materials (e.g., silver nanowires, reduced graphene oxide, MXene, and conductive polymers) incorporated within a polymer matrix (e.g., polyimide), imitating complex skin receptors to perceive various stimuli. Biomimicry designs (e.g., starfish and chiral seedpods) of the robots enable various motions (e.g., bending, expanding, and twisting) on demand and realize good fixation and stress-free contact with tissues. Furthermore, integration of a battery-free wireless module into these robots enables operation and communication without tethering, thus enhancing the safety and biocompatibility as minimally invasive implants. Demonstrations range from a robotic cuff encircling a blood vessel for detecting blood pressure, to a robotic gripper holding onto a bladder for tracking bladder volume, an ingestible robot residing inside stomach for pH sensing and on-site drug delivery, and a robotic patch wrapping onto a beating heart for quantifying cardiac contractility, temperature and applying cardiac pacing, highlighting the application versatilities and potentials of the nature-inspired soft robots. Our designs establish a universal strategy with a broad range of sensing and responsive materials, to form integrated soft robots for medical technology and beyond.
Air Quality Prediction Using Machine Learning
Authors: K Abdul Majeed K , Janubhai Mahammad Abubakar Shaik , Shaik Mohammed Khalid Totlapalli 
Published: December 2023

Abstract
Air pollution is one of the current major problems in the world, and due to this, the quality of air we breathe is becoming worse as the days pass. Air pollution has been increasing rapidly since the year 2010, as most of the reports say that every year since 2015 air pollution has been more than that of total air pollution recorded in the previous whole decade! So, to live a sustainable life, the quality of air we breathe must be good and free of any kind of pollutants. So, to predict and monitor the air quality the data of various air pollutants that decrease the air quality have been collected and used as features for developing a machine learning model which predicts the air quality index of a particular place given the values of the pollutants. Machine learning models like Linear regression, Logistic regression, and Artificial Neural Networks (ANNs) models have been used and compared in terms of their accuracy. Initially, simple machine learning models like linear and logistic regression were trained and achieved good accuracies, later the use of complex artificial neural networks proved to have the highest accuracy of them all on test data sets.
The fitness cost of metallo-β-lactamase expression is a potential target for new therapeutic approaches to carbapenem resistance
Authors: Tu Megan , Carfrae Lindsey , Rachwalski Kenneth , French Shawn , Catacutan Denise , Gordzevich Rodion , MacNair Craig , Speagle Melissa , Werah Firas , Stokes Jonathan , Brown Eric 
Published: December 2023

Abstract

Carbapenem antibiotics represent the most reliable last-resort treatment for bacterial infections. The widespread acquisition of metallo-β-lactamases (MBLs), such as VIM-2, is a significant contributor to the emergence of carbapenem-resistant pathogens. The absence of clinically available MBL inhibitors necessitates the development of new approaches to treat carbapenem-resistant infections. Herein, we demonstrate that Enterobacteriaceae and Pseudomonas aeruginosa expressing VIM-2 have impaired growth in clinically relevant zinc-deprived environments, including human serum and murine infection models. Using transcriptomic, genomic, and chemical probes, we identified molecular pathways critical for VIM-2 expression in Escherichia coli under zinc limitation. Of particular note were envelope stress response pathways. Disruption of envelope stress response pathways significantly reduced the growth of VIM-2-expressing bacteria in vitro and in vivo. Furthermore, we demonstrated that VIM-2 expression disrupts the integrity of the outer membrane, rendering VIM-2-expressing bacteria more susceptible to antibiotics that are typically ineffective against Gram-negative bacteria, such as azithromycin. Accordingly, using a systemic murine infection model, we revealed that azithromycin has therapeutic potential in treating VIM-2-expressing Klebsiella pneumoniae. In all, our findings provide a framework to uncover and exploit the fitness trade-offs of resistance, potentially accelerating the discovery of novel treatments for multi-drug resistant bacteria.
Satellite-derived sandy shoreline trends and interannual variability along the Atlantic coast of Europe
Authors: Castelle Bruno , Kras Etiënne , Masselink Gerd , Scott Tim , Konstantinou Aikaterini , Luijendijk Arjen 
Published: December 2023

Abstract
Monitoring sandy shoreline evolution from years to decades is critical to understand the past and predict the future of our coasts. Optical satellite imagery can now infer such datasets globally, but sometimes with large uncertainties, poor spatial resolution, and thus debatable outcomes. Here we validate and analyse satellite-derived-shoreline positions (1984-2021) along the Atlantic coast of Europe using a moving-averaged approach based on distance and coastline orientation. We show that west-facing coasts and sheltered coasts are more prone to long-term erosion and accretion, respectively. Interannual shoreline variability is influenced by regionally dominant atmospheric climate indices, with coastlines not exposed to the dominant wave climate showing weaker and more variable correlation with the indices. Our results provide a spatial continuum between previous local-scale studies and call for applications based on a relevant averaging approach and the inclusion of coastal setting parameters to unravel the forcing-response spectrum of sandy shorelines globally.
The loss of riparian vegetation along streams causes morphological divergences in functional traits of semiaquatic insects (Heteropteran: Gerromorpha) in the eastern Amazon
Authors: Luz-Silva Beatriz , Guterres Alana P. M. , Santana Sol Silva , Cunha Erlane José , Juen Leandro 
Published: December 2023

Abstract

Understanding the effects of mining activities on Amazonian streams and their impact on aquatic communities is of paramount importance in the current context of resource overexploitation in society. In this study, we assessed the significance of the environment and interspecific interactions on the organization patterns of semiaquatic insect species in a mineral extraction region in the eastern Amazon. We utilized the morpho functional characteristics of 22 species from the suborder Gerromorpha (Heteropteran), considering both the abundance and sexual dimorphism of these species. Additionally, we quantified the density of riparian vegetation surrounding each stream to categorize sampling points and evaluate whether there are differences in species distribution patterns among categories. We sampled 16 sites, categorized into two treatments based on the percentage of riparian vegetation in forested and deforested areas located in the Capim River Basin. We did not find the action of environmental filters on the total assembly; however, we found significant morphological divergence for all the traits analyzed. On the other hand, the separation of streams into treatments with different portions of riparian vegetation showed that there are significant differences between them regarding species distribution patterns. Forested streams within a 500m radius have species distributed over a larger area, indicating that these streams have greater resource availability or that species can use these resources more efficiently. Our results demonstrate the importance of riparian vegetation for the studied communities, as well as for mitigating the impacts caused by mining activities.
Isolation and Identification of Pasteurella multocida and Mannheim Hemolytica from Pneumonic Small Ruminants in Haramaya District, Eastern Ethiopia
Authors: Abdulkadir Mohammed , Nuguse Taju , Kebede Isayas Asefa 
Published: December 2023

Abstract
Background
Pasteurella species are frequently encountered as serious pathogens in small ruminants.
Methods
The cross-sectional study was conducted from December 2022 to April 2023 in Haramaya district, eastern Ethiopia, to isolate and identify Pasteurella multocida and Mannheimia haemolytica and estimate their prevalence, associated risk factors, and antimicrobial sensitivity of isolates in small ruminants using a purposive sampling method. A total of 384 samples (156 nasal swabs from clinic cases and 228 lung swabs from abattoir cases) were collected. STATA 14 statistical software was used to examine the data. In addition, multivariable logistic regression analysis was used to evaluate other factors.
Results
Out of the 384 samples analyzed, 164 were positive for Pasteurella, resulting in a 42.70% infection rate. 63 (38.4%) of the 164 positive results were from nasal swabs, while 101 (61.6%) came from lung samples. Mannheimia haemolytica accounted for 126 (76.82%) of the isolates, while Pasteurella multocida accounted for 38 (23.17%). Of the 63 nasal swab isolates, 33 (37%) were from goats and 30 (42.8%) were from sheep. And 17 (10.89%) and 46 (29.58%), respectively, were P. multocida and M. haemolytica. 46 (40%) of the 101 (44.3%) isolates of pneumonic lung samples were from goats, while 55 (48.47%) were from sheep. In this study, the factors of species, age, and BCS were found to be significant (p 0.05) predictors of Pasteurellosis. Pasteurella isolates evaluated for antibiotic susceptibility were resistant to Oxacillin (90.90%), Gentamycin (72.72%), and Penicillin (63.63%), but responsive to Chloramphenicol (90.90%), Tetracycline (63.63%), and Ampicillin (54.54%).
Conclusion
This study discovered that M. haemolytica and P. multocida are the most common causes of pasteurellosis in small ruminants, and isolates were resistant to commonly used antibiotics in the study area. As a result, an integrated immunization strategy, antimicrobial resistance monitoring, and avoidance of stress-inducing factor induction are recommended.
Red Blood Cell Distribution Width acts as a novel predictor of Mortality in critically ill Patients with Atrial fibrillation
Authors: Yang Ting , Cheng Wenlin , Tong Chuanfeng , Huang Xiaobo 
Published: December 2023

Abstract
Background: Red blood cell distribution Width（RDW）has been emerged as an important indicator of in-hospital mortality rate in critically ill patients in multiple diseases. Recently, several studies indicate that increased RDW may be positive associated with a higher in-hospital death rate caused by Atrial Fibrillation（AF）development. Nevertheless, the relationship between poor prognosis of atrial fibrillation and RDW is currently not specified. The current research was aimed to verify the relationship between in-hospital mortality rate caused by atrial fibrillation and RDW.
Result: A total popularity of 6555 critically ill patients with AF from MIMIC database matched the inclusion criteria were enrolled. Using a multivariate logistic regression, two different models were utilized to verify the correlation between RDW and in-hospital mortality rate attributed by AF. After adjusting the confounding factors, the adjusted model shows that upregulated RDW level was linked to an increase in 90-day mortality compared with the control group (RDW 16.1-27.9 % versus 11.3-13.7%: OR, 1.95; 95% CI, 2.0 to 3.1 P trend <0.0001)，and hospital mortality had the same trend.
Conclusions: These evidences suggested that high RDW level may be an independent criterion predictor and positive associated with increased in-hospital mortality rate of critically AF patients.