bluuebunny/crossref_metadata_2025_split huggingface dataset:
Die Perspektive der Nephrologie
Authors: Bach Dieter 
Published: February 2023

ZUSAMMENFASSUNGDie Dialyse ist eine Erfolgsgeschichte der Medizin, dennoch steht sie jetzt vor einem grundlegenden Wandel. Verantwortlich dafür sind die ökonomischen Rahmenbedingungen: Die Kosten steigen stark bei gleichbleibenden Einnahmen und es besteht die Notwendigkeit, den ökologischen Fußabdruck der Dialyse als eine energieintensive Behandlungsform zu reduzieren. Befördert wird die Entwicklung zur grünen Dialyse von gerätetechnischen Innovationen, die eine baldige Renaissance der Heimdialyse in Aussicht stellen. Folglich werden sich die nephrologischen Leistungserbringenden zukünftig breiter aufstellen müssen.
Clinical Profile, Management, and Outcome of Visceral Artery Pseudoaneurysms: 5-Year Experience in a Tertiary Care Hospital
Authors: Shera Faiz Altaf , Shera Tahleel Altaf , Choh Naseer Ahmad , Bhat Mudasir H. , Shah Omair Ashraf , Shaheen Feroze A. , Robbani Irfan , Gojwari Tariq 
Published: February 2023

AbstractVisceral artery pseudoaneurysms are potentially lethal lesions and tend to rupture in a high proportion of cases, thereby warranting an immediate and active intervention.We present our experience of splanchnic visceral artery pseudoaneurysms in a university hospital over a 5-year time interval with emphasis on etiology, clinical presentation, management (endovascular/surgical), and final outcome.This was a retrospective study in which we searched our image database for pseudoaneurysms of visceral arteries over a period of 5 years. The clinical and operative details were retrieved from the medical record section of our hospital. The lesions were analyzed for the vessel of origin, size, etiology, clinical features, mode of treatment, and outcome.Twenty-seven patients with pseudoaneurysms were encountered. Pancreatitis (8) was the most common cause, followed by previous surgery (7) and trauma (6). Fifteen were managed by the interventional radiology (IR) team, 6 by surgery, and in 6 no intervention was done. Technical and clinical success was achieved in all patients in the IR group with few minor complications. Surgery and no intervention carry a high mortality in such a setting (66 and 50%, respectively).Visceral pseudoaneurysms are potentially fatal lesions, commonly encountered after trauma, pancreatitis, surgeries, and interventional procedures. These lesions are easily salvageable by minimally invasive interventional techniques (endovascular embolotherapy), and surgeries carry a lot of morbidity and mortality in such cases and a prolonged hospital stay.
Can We Predict Length of Stay for CJR Patients Who Sustain a Displaced Femoral Neck Fracture?
Authors: Meltzer-Bruhn Ariana T. , Esper Garrett W. , Ganta Abhishek , Konda Sanjit R. , Egol Kenneth A. 
Published: February 2023

AbstractThe Comprehensive Care for Joint Replacement (CJR) model holds hospitals financially accountable for the outcomes of patients undergoing hip and knee replacements. The purpose of this study is to see if a validated inpatient risk assessment tool can be used to predict patients with poor outcomes following hip arthroplasty. We hypothesize that the validated risk prediction tool (Score for Trauma Triage in the Geriatric and Middle-Aged [STTGMA]) can be modeled to stratify these patients at highest risk for poor outcomes at emergency department (ED) presentation. Between October 2018 and September 2020, 237 patients subject to the CJR bundle program were treated for a displaced femoral neck fracture with total hip arthroplasty or hemiarthroplasty and analyzed for demographics, comorbidities, injury details, and outcomes. A poor outcome was considered to be a longer length of inpatient hospital stay, venous thromboembolism (VTE), or readmission within 30, 60, or 90 days. Each patient's STTGMA score was calculated using their demographics, functional status, and injury details at time of ED admission. Patients were divided into risk quartiles based on STTGMA score. The top 25% risk cohort was compared against the bottom 25% risk cohort using chi-square or t-tests as appropriate. Mean STGGMA scores were 0.046 ± 0.028 in the highest risk cohort and 0.007 ± 0.001 in the lowest risk cohort. STTGMA was able to adequately risk stratify patients at risk for a longer length of inpatient hospital stay (p < 0.01). The STTGMA tool was unable to risk stratify patients with postoperative VTE within 90 days (p = 0.986) or readmission within 90 days (p = 0.087). Providers can calculate STTGMA scores on admission for CJR patients to help identify which patients may require a longer length of inpatient hospital stay. These patients can be targeted with strategies to address these deficiencies.
Topological insulator phases in polycrystalline Bi2Te3 thin films
Authors: Raju Jeswin Mammen , Thomas Kalarikad Jonah 
Published: February 2023

Polycrystalline thin films of Bi2Te3, a well-known topological insulator (TI), grown by RF sputtering shows metallic-like transport for a wide range of temperatures, T = 50 K to T = 225 K. For T &gt; 225 K, the sample shows activated transport.. The metallic-like behavior at low temperatures can be understood within a model of overlapping surface states of the TI nanocrystallites in the film, suggesting that TI thin films of polycrystalline nature may also stabilize topologically protected states.
Electromagnetic alternators with composite amorphous alloy shell for improving characteristics
Authors: Hsu Chang-Hung 
Published: February 2023

In this study, a magnetic casing encapsulating a generator is used to improve the electromagnetic and power characteristics of the generator. Two types of two-pole AC generators are proposed: one is a bare-bonded (NC) type and the other is an iron-based amorphous alloy material covering the generator casing. In this study, Fe-Si-B amorphous thin strips were annealed between 300 and 380 °C and soaked for 60 min to observe and analyze the structural changes and the evolution of properties under different temperature conditions. After the thin strip is annealed at 400 °C, α-Fe dendrites begin to appear, and at 450 °C, a large number of α-Fe dendrites are formed. The demagnetization rate of the permanent magnet area near the bottom of the pole piece is the highest for the generator with an amorphous alloy shell because the magnetic flux leakage from the side frame of the pole piece changes the magnetic flux path, thereby affecting the demagnetization performance. In this study, three amorphous alloys, HB1-M, HB1, and SA1, were used as the cladding permanent magnet generator shell, and annealing and non-annealing procedures were conducted to observe the influence on the magnetic power of the generator. The magnetic flux on the surface of the amorphous shell was measured by a magnetic fluxmeter. For experiments with an amorphous shell, the results show that the annealed center point magnetic flux densities were approximately HB1-M (15 mT), HB1 (12 mT), and SA1 (10 mT), and the marginal non-annealed amorphous thin strip could reach ∼7–5 mT. The measured generator harmonic component of SA1 is higher than the voltage and current harmonics, reflecting that the magnetization direction of the magnetic shell in the demagnetization region is covered by the magnetic flux density. Because of central flame annealing, the magnetic shell is paramagnetic, and it helps to reduce the noise by at least 5 dB. The generator current harmonic characteristic of the HB1-M material is smaller than that of the HB1 and SA1 materials. In this study, a composite amorphous material was used to cover the generator casing; it was verified that HB1-M + HB1 + SA1 has the lowest noise characteristics for the generator. The generator noise of the composited material (HB1-M + HB1 + SA1) can be reduced to below 69 dB, which is ∼7–9 dB lower than that of a single amorphous material.
A cognitive analysis on Spanish differential object marking based on a modified model of the Transitivity Hypothesis
Authors: Yang Sunghye 
Published: February 2023

Abstract
There are two approaches to Differential Object Marking (dom): The Ambiguity Thesis and the Transitivity Thesis. The Ambiguity Thesis states that a morphological mark for the direct object tends to be used when it possesses the prototypical properties of the subject, such as agenthood, animacy, definiteness or topicality. The Transitivity Thesis argues that languages tend to mark categories with high transitivity values morphologically, rather than lower values. In our study we combined these two approaches to create a systematic model, which is a modified version of the Transitivity Hypothesis of Hopper and Thompson (1980). We postulate that the minimal condition to use dom in Spanish is a cognitive profiling of the referent of the direct object. The degree of profiling can be considered as cognitive prominence and can distinguish from more prototypical uses of dom to less prototypical ones. Our model provides a plausible explanation not only regarding the hierarchical relation between dom properties, but also regarding some problematic uses of dom.
Searching for the axion-like particle at the EIC*
Authors: Liu Yandong , Yan Bin 
Published: February 2023

Abstract
The axion-like particle (ALP) is a well motivated new particle candidate for beyond the standard model. In this study, we propose to probe the ALP via photon fusion scattering at the upcoming Electron-Ion Collider (EIC) with electron and proton energies of

and

, respectively. We can constrain the effective coupling strength between the ALP and photons to be

at the

confidence level with an integrated luminosity of

for the mass range

. Such bounds may be significantly improved if we consider the nucleus beam at the EIC. We also demonstrate that the limits from the EIC can be stronger than the off Z-pole measurement at the LEP and light-by-light scattering with pp collisions at the LHC.
Teaching Design Management tools during a pandemic: A Peruvian case study
Authors: Brioso X , Calderon-Hernandez C 
Published: February 2023

Abstract
During the year 2020, the sanitary emergency norm forced universities to teach under the remote learning method, representing a challenge of designing courses that require high effectiveness. The purpose of this work is to present the strategies that were successfully applied during the teaching of design management tools for a building project, implemented in a course part of the Civil Engineering master of the Pontifical Catholic University of Peru. The methodology considered the effect of the Covid-19 Pandemic and had as objective to develop soft skills and employability, for which a balanced use of virtual platforms as well as software was proposed for videoconference and laboratories. On the other hand, during this course, students developed a proposal for integrated planning and management of the design phase using tools of norms and guidelines of project management systems such as ISO 21500, Lean Construction, Building Information Modeling, PMBOK of the Project Management Institute, Integrated Project Delivery, among others. Under this framework, the participation of stakeholders, multicriteria decision making, development of project design deliverables and project sequence was analyzed, which presented an important change under the collaborative contracts. The success of this methodology is reflected in the high quality of final papers and expositions, the result of surveys taken - effectiveness of 99%-, and in the improvement opportunities detected. This paper presents important information that may be adapted by academic and practitioners during the phases of the pandemic and post-pandemic.
Powering internet-of-things from ambient energy: a review
Authors: Chatterjee Arindom , Lobato Carlos Nuñez , Zhang Haiwu , Bergne Achilles , Esposito Vincenzo , Yun Shinhee , Insinga Andrea Roberto , Christensen Dennis Valbjørn , Imbaquingo Carlos , Bjørk Rasmus , Ahmed Hamsa , Ahmad Mariam , Ho Chun Yuen , Madsen Morten , Chen Jixi , Norby Poul , Chiabrera Francesco Maria , Gunkel Felix , Ouyang Ziwei , Pryds Nini 
Published: February 2023

Abstract
Internet-of-thing (IoT) is an assembly of devices that collect and share data with other devices and communicate via the internet. This massive network of devices, generates and communicates data and is the key to the value in IoT, allowing access to raw information, gaining insight, and making an intelligent decisions. Today, there are billions of IoT devices such as sensors and actuators deployed. Many of these applications are easy to connect, but those tucked away in hard-to-access spots will need to harvest ambient energy. Therefore, the aim is to create devices that are self-report in real-time. Efforts are underway to install a self-powered unit in IoT devices that can generate sufficient power from environmental conditions such as light, vibration, and heat. In this review paper, we discuss the recent progress made in materials and device development in power- and, storage units, and power management relevant for IoT applications. This review paper will give a comprehensive overview for new researchers entering the field of IoT and a collection of challenges as well as perspectives for people already working in this field.
Interphase formation with carboxylic acids as slurry additives for Si electrodes in Li-ion batteries. Part 2: a photoelectron spectroscopy study
Authors: Jeschull Fabian , Pham Hieu Quang , Ghamlouche Ahmad , Thakur Pardeep K , Trabesinger Sigita , Maibach Julia 
Published: February 2023

Abstract
Preparing aqueous silicon slurries in presence of a low-pH buffer improves the cycle life of silicon electrodes considerably because of higher reversibility of the alloying process and higher resilience towards volume changes during (de)alloying. While the positive effects of processing at low pH have been demonstrated repeatedly, there are gaps in understanding of the buffer’s role during the slurry preparation and the effect of buffer residues within the electrode during cycling. This study uses a combination of soft and hard x-ray photoelectron spectroscopy to investigate the silicon particle interface after aqueous processing in both pH-neutral and citrate-buffered environments. Further, silicon electrodes are investigated after ten cycles in half-cells to identify the processing-dependant differences in the surface layer composition. By tuning the excitation energy between 100 eV and 7080 eV, a wide range of probing depths were sampled to vertically map the electrode surface from top to bulk. The results demonstrate that the citrate-buffer becomes an integral part of the surface layer on Si particles and is, together with the electrode binder, part of an artificial solid-electrolyte interphase that is created during the electrode preparation and drying.
Activating an evidence-based identity increases the impact of evidence on policymaker beliefs about local climate policies
Authors: Hirsch K C Payne , Wong-Parodi Gabrielle 
Published: February 2023

Abstract
Evidence-based policymaking has the potential to improve the efficiency and impact of climate mitigation and adaptation policies, but that promise cannot be fulfilled if policymakers fail to change their minds (update their beliefs) when presented with new evidence. Research suggests that individuals often resist changing their mind, especially on polarized topics like climate action. Here we explore whether an ‘evidence-based policymaker’ intervention can reduce resistance when policymakers interpret new information. We hypothesize that, if policymakers wish to see themselves as ‘evidence-based’, reminding them of that identity can make changing their beliefs more comfortable. This is because belief-updating provides an opportunity to affirm their identity as an evidence-based policymaker. In two survey studies of state and local U.S. policymakers—a neutral policy pilot (n = 152) and a polarizing climate policy experiment (n = 356)—we show that the intervention was effective, even when evidence was incompatible with prior policy beliefs or party ideology. This finding suggests that making evidence-based identities salient when presenting new evidence could increase that information’s impact on climate policymaking.
Towards an Ecocritical Adaptation Studies
Authors: Geal Robert 
Published: February 2023

Abstract
Arguments that ‘it is time for adaptation studies to take an x turn’ have proliferated in the inevitably methodologically eclectic field of adaptation studies. However, there are still methodologies with which adaptation studies has not yet engaged in detail, and which could be enriched by certain existing adaptation studies conventions. One such approach is ecocriticism: analyses of how various cultural practices reflect and inform human attitudes and behaviours towards the non human world around us. This article outlines how the study of adaptation has thus far engaged with ecocritical issues, and indicates how existing adaptation studies protocols offer useful tools to extend the ecocritical project in a diachronic and intercultural manner.
GO Bench: shared hub for universal benchmarking of machine learning-based protein functional annotations
Authors: Dickson Andrew , Asgari Ehsaneddin , McHardy Alice C , Mofrad Mohammad R K 
Published: February 2023

Abstract

Motivation
Gene annotation is the problem of mapping proteins to their functions represented as Gene Ontology (GO) terms, typically inferred based on the primary sequences. Gene annotation is a multi-label multi-class classification problem, which has generated growing interest for its uses in the characterization of millions of proteins with unknown functions. However, there is no standard GO dataset used for benchmarking the newly developed new machine learning models within the bioinformatics community. Thus, the significance of improvements for these models remains unclear.

Results
The Gene Benchmarking database is the first effort to provide an easy-to-use and configurable hub for the learning and evaluation of gene annotation models. It provides easy access to pre-specified datasets and takes the non-trivial steps of preprocessing and filtering all data according to custom presets using a web interface. The GO bench web application can also be used to evaluate and display any trained model on leaderboards for annotation tasks.

Availability and implementation
The GO Benchmarking dataset is freely available at www.gobench.org. Code is hosted at github.com/mofradlab, with repositories for website code, core utilities and examples of usage (Supplementary Section S.7).

Supplementary information
Supplementary data are available at Bioinformatics online.
DBDIpy: a Python library for processing of untargeted datasets from real-time plasma ionization mass spectrometry
Authors: Weidner Leopold , Hemmler Daniel , Rychlik Michael , Schmitt-Kopplin Philippe 
Published: February 2023

AbstractMotivationPlasma ionization is rapidly gaining popularity for mass spectrometry (MS)-based studies of volatiles and aerosols. However, data from plasma ionization are delicate to interpret as competing ionization pathways in the plasma create numerous ion species. There is no tool for detection of adducts and in-source fragments from plasma ionization data yet, which makes data evaluation ambiguous.SummaryWe developed DBDIpy, a Python library for processing and formal analysis of untargeted, time-sensitive plasma ionization MS datasets. Its core functionality lies in the identification of in-source fragments and identification of rivaling ionization pathways of the same analytes in time-sensitive datasets. It further contains elementary functions for processing of untargeted metabolomics data and interfaces to an established ecosystem for analysis of MS data in Python.Availability and implementationDBDIpy is implemented in Python (Version ≥ 3.7) and can be downloaded from PyPI the Python package repository (https://pypi.org/project/DBDIpy) or from GitHub (https://github.com/leopold-weidner/DBDIpy).Supplementary informationSupplementary data are available at Bioinformatics online.
Diagnostic challenges of recurrent left atrial mass: a case report
Authors: Gomes Daniel A , Ramos Sância , Ferreira Jorge 
Published: February 2023

AbstractBackgroundDifferential diagnosis of left atrial (LA) masses is challenging because there is a significant overlap in the epidemiological, clinical, and imaging characteristics. Even some histological features can be similar across different types of cardiac masses. Therefore, continuous case discussion between the clinician and the pathologist is essential for a correct diagnosis.Case summaryWe present a case of a patient with a history of cardiac surgery for LA tumour. Histology was compatible with thrombus, although no predisposing causes nor genetic or acquired thrombophilia were identified. After 14 years, the recurrence of LA mass was diagnosed with a routine echocardiography. A review of histological preparations from 2007 with immunohistochemistry techniques not available at that time (calretinin) was consistent with a myxoma. The patient underwent cardiac reoperation with LA mass and interatrial septum excision. Final diagnosis was compatible with a myxoma recurrence.DiscussionMyxoma is the second most frequent benign primary cardiac tumour. Left atrial thrombi can occasionally mimic the typical echocardiographic appearance of a myxoma, and pathological features can sometimes overlap generating diagnostic confusion. Calretinin fixation is useful for differential diagnosis once it is only identified in myxomas but not in thrombi. Any discrepancy between clinical findings and histology should always mandate a review of histological preparations.
Effects of a digital learning platform on health behaviours in stroke patients from baseline to 6 months after discharge: a randomized controlled trial
Authors: Li Zhuoran , Li Jingjing , Yang Lijun , Tan Juxiang , Zhu Fenyan , Wan Li-Hong 
Published: February 2023

Abstract

Aims
Improving the health behaviour can help prevent stroke recurrence. The existing health education interventions require more human resource. There is a lack of constructing a low-cost, highly universal, and easy-to-use stroke secondary prevention platform based on the existing medical resources.

Methods and results
This was a randomized controlled trial to test the effects of a digital learning platform on the health knowledge, beliefs, and behaviours of stroke patients from baseline to 6 months after discharge. The control group received routine health education while the intervention group received health belief education during hospitalization and used a digital learning platform for 6 months after discharge. The health knowledge was assessed by The Stroke Health Knowledge Questionnaire, health beliefs by The Short Form Health Belief Model Scale for Stroke Patients, and health behaviours by the Stroke Health Behavior Scale. A total of 90 patients were included: 45 each in the intervention group and the control group, of whom 38 and 37 completed the study, respectively. At 6 months after discharge, (1) the health knowledge score of the intervention group was insignificantly higher than that of the control group, (2) the health belief score of the intervention group was significantly higher than that of the control group, and (3) the intervention group had higher health behaviour scores especially in physical activity than that of the control group. Other health behaviour dimensions have time effect, but not significant.

Conclusions
The digital learning platform can improve health behaviours of stroke patients 6 months after discharge, especially in physical activity.

Registration
ChiCTR1800019936