bluuebunny/crossref_metadata_2025_split huggingface dataset:
Level of shared decision making and associated factors among patients with mental illness in Northwest Ethiopia: Explanatory sequential mixed method study
Authors: Abate Agmas Wassie , Desalegn Wondimnew , Teshome Assefa Agegnehu , Chekol Aklile Tsega , Aschale Mastewal 
Published: April 2023

Background
Shared decision-making is a patient–centered and a recovery-oriented mental health system in which consumers are encouraged to actively engage in illness management. Although shared decision-making research in mental health has evolved rapidly in the past two decades, there is a lack of studies examining the level and factors associated with shared decision-making practice in low-income countries like Ethiopia.

Methods
An institutional-based explanatory sequential mixed method study design was conducted from July 18 to September 18, 2022, at Bahir Dar city specialized hospitals. A systematic random sampling technique was used. The level of shared-decision making was measured by 9-item shared decision-making questionnaire among 423 patients with mental illness. Epicollect5 was used to collect data, which was then exported to the Statistical Package for social science version 25 for analysis. Variables with a P-value < 0.25 were considered candidates for the multivariate logistic regression analysis. The odds ratio with a 95% confidence interval was used to show the strength of the association. An in-depth interview was conducted among ten purposively selected participants.

Result
Low shared decision-making practice was found to be 49.2% (95% CI 45.9%-55.7%). The Multivariate analysis showed that low perceived compassionate care (AOR = 4.45; 95%CI 2.52–7.89), low social support (AOR = 1.72; 95% CI 1.06–2.80), and no community-based health insurance (AOR = 1.96; 95%CI l.04–3.69) were positively associated with low shared decision making. The qualitative result showed that the most common barriers to shared decision-making were a lack of empathy and a shortage of mental health workers.

Conclusion and recommendation
Almost half of the patients had low shared decision-making practices. This implies that shared decision-making requires high attention as it is essential for patient-centered care.
Maternal transfer of IgA and IgG SARS-CoV-2 specific antibodies transplacentally and via breast milk feeding
Authors: Sajadi Mohammad M. , Shokatpour Narjes , Purcell Madeleine , Tehrani Zahra Rikhtegaran , Lankford Allison , Bathula Allison , Campbell James D. , Hammershaimb Elizabeth Adrianne , Deatrick Kristopher B. , Bor Casey , Parsell Dawn M. , Dugan Colleen , Levine Andrea R. , Ramelli Sabrina C. , Chertow Daniel S. , Herr Daniel L. , Saharia Kapil K. , Lewis George K. , Grazioli Alison 
Published: April 2023

Background
Although there have been many studies on antibody responses to SARS-CoV-2 in breast milk, very few have looked at the fate of these in the infant, and whether they are delivered to immunologically relevant sites in infants.

Methods
Mother/infant pairs (mothers who breast milk fed and who were SARS-CoV-2 vaccinated before or after delivery) were recruited for this cross-sectional study. Mother blood, mother breast milk, infant blood, infant nasal specimen, and infant stool was tested for IgA and IgG antibodies against SARS-CoV-2 spike trimer.

Results
Thirty-one mother/infant pairs were recruited. Breast milk fed infants acquired systemic anti-spike IgG antibodies only if their mothers were vaccinated antepartum (100% Antepartum; 0% Postpartum; P<0.0001). Breast milk fed infants acquired mucosal anti-spike IgG antibodies (in the nose) only if their mothers were vaccinated antepartum (89% Antepartum; 0% Postpartum; P<0.0001). None of the infants in either group had anti-spike IgA in the blood. Surprisingly, 33% of the infants whose mothers were vaccinated antepartum had high titer anti-spike IgA in the nose (33% Antepartum; 0% Postpartum; P = 0.03). Half-life of maternally transferred plasma IgG antibodies in the Antepartum infant cohort was ~70 days.

Conclusion
Vaccination antepartum followed by breast milk feeding appears to be the best way to provide systemic and local anti-SARS-CoV-2 antibodies for infants. The presence of high titer SARS-CoV-2-specific IgA in the nose of infants points to the potential importance of breast milk feeding early in life for maternal transfer of mucosal IgA antibodies. Expectant mothers should consider becoming vaccinated antepartum and consider breast milk feeding for optimal transfer of systemic and mucosal antibodies to their infants.
Clinical practice of childhood apraxia of speech in Hong Kong: A web-based survey study
Authors: Wong Eddy C. H. , Wong Min N. , Velleman Shelley L. 
Published: April 2023

Background
A survey study on clinical practice not only provides insight into the implementation of knowledge, but also informs future investigations. There is a limited understanding of childhood apraxia of speech (CAS) in Cantonese speakers. This study examined the clinical practice of CAS in Hong Kong and discussed future directions of research for better evidence-based practice.

Methods
Qualified Hong Kong pediatric speech-language pathologists (SLPs) completed the online questionnaire, which had a total of 48 questions regarding their knowledge of and experience with CAS in Cantonese speakers, including assessment, diagnosis, and treatment.

Results
Seventy-seven responses were received from Hong Kong SLPs. Most of the SLPs (83.2%) rated their understanding of CAS as either “a little” or “fair”. About half (53.2%) of the respondents had worked with children with CAS. No standardized assessment or objective/quantitative measures were used clinically. Instead, seven assessment tasks, including imitation of polysyllabic words and speech and language samples were used commonly. Perceptual judgment of clinical features is still the most popular approach for diagnosis, with a variety of lists in use. Of concern was that, in addition to using some evidence-based approaches, local SLPs treated CAS using approaches that have limited evidence, in the context of less treatment frequency, targeting both speech and language skills within the same session, and with only partial implementation of the approaches.

Conclusions
The results suggest that the understanding of CAS among local SLPs requires attention. One reason for this is that evidence regarding the assessment, diagnosis, and treatment of Cantonese speakers with CAS is still limited. Future investigations are needed.
Probenecid slows disease progression in a murine model of autosomal dominant polycystic kidney disease
Authors: Arkhipov Sergey N. , Potter D'Anna L. , Sultanova Regina F. , Ilatovskaya Daria V. , Harris Peter C. , Pavlov Tengis S. 
Published: April 2023

AbstractDevelopment of autosomal dominant polycystic kidney disease (ADPKD) involves renal epithelial cell abnormalities. Cystic fluid contains a high level of ATP that, among other effects, leads to a reduced reabsorption of electrolytes in cyst‐lining cells, and thus results in cystic fluid accumulation. Earlier, we demonstrated that Pkd1RC/RC mice, a hypomorphic model of ADPKD, exhibit increased expression of pannexin‐1, a membrane channel capable of ATP release. In the current study, we found that human ADPKD cystic epithelia have higher pannexin‐1 abundance than normal collecting ducts. We hypothesized that inhibition of pannexin‐1 function with probenecid can be used to attenuate ADPKD development. Renal function in male and female Pkd1RC/RC and control mice was monitored between 9 and 20 months of age. To test the therapeutic effects of probenecid (a uricosuric agent and a pannexin‐1 blocker), osmotic minipumps were implanted in male and female Pkd1RC/RC mice, and probenecid or vehicle was administered for 42 days until 1 year of age. Probenecid treatment improved glomerular filtration rates and slowed renal cyst formation in male mice (as shown in histopathology). The mechanistic effects of probenecid on sodium reabsorption and fluid transport were tested on polarized mpkCCDcl4 cells subjected to short‐circuit current measurements, and in 3D cysts grown in Matrigel. In the mpkCCDcl4 epithelial cell line, probenecid elicited higher ENaC currents and attenuated in vitro cyst formation, indicating lower sodium and less fluid retention in the cysts. Our studies open new avenues of research into targeting pannexin‐1 in ADPKD pathology.
Different aspects of hand grip performance associated with structural connectivity of distinct sensorimotor networks in chronic stroke
Authors: Schranz Christian , Srivastava Shraddha , Seamon Bryant A. , Marebwa Barbara , Bonilha Leonardo , Ramakrishnan Viswanathan , Wilmskoetter Janina , Neptune Richard R. , Kautz Steve A. , Seo Na Jin 
Published: April 2023

AbstractKnowledge regarding the neural origins of distinct upper extremity impairments may guide the choice of interventions to target neural structures responsible for specific impairments. This cross‐sectional pilot study investigated whether different brain networks explain distinct aspects of hand grip performance in stroke survivors. In 22 chronic stroke survivors, hand grip performance was characterized as grip strength, reaction, relaxation times, and control of grip force magnitude and direction. In addition, their brain structural connectomes were constructed from diffusion tensor MRI. Prominent networks were identified based on a two‐step factor analysis using the number of streamlines among brain regions relevant to sensorimotor function. We used regression models to estimate the predictive value of sensorimotor network connectivity for hand grip performance measures while controlling for stroke lesion volumes. Each hand grip performance measure correlated with the connectivity of distinct brain sensorimotor networks. These results suggest that different brain networks may be responsible for different aspects of hand grip performance, which leads to varying clinical presentations of upper extremity impairment following stroke. Understanding the brain network correlates for different hand grip performances may facilitate the development of personalized rehabilitation interventions to directly target the responsible brain network for specific impairments in individual patients, thus improving outcomes.
Testing distributed trajectory planning in the cyber-physical mobility lab
Authors: Kloock Maximilian , Scheffe Patrick , Alrifaee Bassam 
Published: April 2023

Abstract
This article presents the testing of distributed trajectory planning algorithms using our rapid prototyping platform, the Cyber-Physical Mobility Lab (CPM Lab). We propose two algorithms for distributed trajectory planning which plan trajectories at intersections, highway on- and off-ramps, and lane changes for networked and autonomous vehicles. The algorithms avoid collisions between vehicles using a synchronization-based and a prioritized Distributed Model Predictive Control (DMPC) strategy. We test two algorithms in the CPM Lab which is able to handle parallel, sequential, and hybrid computations. The CPM Lab achieves reproducible experiments under non-deterministic computation times and stochastic communication times. Our evaluation shows that different algorithms for distributed trajectory planning can be efficiently tested in different in-the-loop tests.
Interaktive Trajektorienplanung mittels gemischt-ganzzahliger quadratischer Programmierung
Authors: Burger Christoph , Königshof Hendrik , Stiller Christoph 
Published: April 2023

Zusammenfassung
Die Bewegungsplanung für automatisierte Fahrzeuge in gemischtem Verkehr, bei dem sich automatisierte und von Menschen gesteuerte Fahrzeuge die Straße teilen, ist eine anspruchsvolle Aufgabe. Um die Komplexität dieser Aufgabe zu reduzieren, gehen moderne Planungsansätze oft davon aus, dass die zukünftige Bewegung umliegender Fahrzeuge unabhängig vom Verhalten des automatisierten Fahrzeugs prädiziert werden kann. Die Trennung der Prädiktion anderer von der eigenen Planung kann, insbesondere in stark interaktiven Verkehrssituationen, zu suboptimalem, übermäßig konservativem Fahrverhalten führen. In dieser Arbeit wird ein Ansatz zur Planung von kooperativem, interaktionsbewusstem Verhalten auf Basis einer Multi-Agenten-Trajektorienplanung vorgestellt. Hierbei wird die Prädiktion anderer sowie die eigene Planung, mittels gemischt-ganzzahliger quadratischer Programmierung gemeinsam gelöst. Unsicherheiten im Verhalten anderer Verkehrsteilnehmer werden mittels unterschiedlicher Intentionsmodelle berücksichtigt. Die Anwendbarkeit des Ansatzes wird anhand numerischer Experimente für ein Fahrstreifenwechselszenario in dichtem Verkehr demonstriert.
Bibliotheken 2040 – mehr Utopien als Dystopien
Authors: Scholze Frank 
Published: April 2023

Zusammenfassung
Bibliotheken sind 2040 intelligente Räume in dem Sinne, dass sie eine physische und digitale Umgebung bilden, in denen Menschen und technologiegestützte Systeme in zunehmend offenen, verbundenen, koordinierten und intelligenten Ökosystemen zusammenwirken. Generative künstliche Intelligenz und Graphentechnologien werden bei diesem Zusammenwirken eine wichtige Rolle spielen.
In-situ visualization of hydrogen atom distribution at micro-indentation in a carbon steel by scanning Kelvin probe force microscopy
Authors: Li Yuan , Cheng Yufeng Frank 
Published: April 2023

Abstract
In this work, a scanning Kelvin probe force microscope was used to in-situ visualize distribution of hydrogen atoms at micro-indentation and metallurgical phases contained in a carbon steel. Topographic profiles and Volta potentials of the steel upon various times of hydrogen-charging were measured. The hydrogen atom distribution at the micro-indentation was analyzed. Results demonstrate that the micro-indentation can serve as a preferential site to accumulate hydrogen atoms. Particularly, the vertex of the indention shows the greatest hydrogen atom enrichment, while the indentation bottom possesses a slightly lower hydrogen atom concentration. More hydrogen atoms accumulate in ferrite than in pearlite in the steel.
Estimation method of corrosion current density of RC elements
Authors: Recha Faustyn 
Published: April 2023

Abstract
The work is theoretical with the use of analytical calculations, subsequently confirmed by a numerical method, in which an attempt was made to verify the method of estimating the corrosion current density based on the deflection of reinforced concrete (RC) elements affected by reinforcement corrosion. The focus was on the possibility of estimating the corrosion current intensity on the basis of external measurements of deflections of RC elements subjected to reinforcement corrosion. The method can be used as an element supporting the diagnosis of RC structures. The article presents an example of analytical and numerical deflection calculations, on the basis of which an attempt was made to estimate the corrosion current density. The obtained results were considered satisfactory, which is sent for further considerations, and above all for experimental verification of the proposed method. The analysis was based on the theoretical work of a simply supported beam, whose analytical results were verified using the finite element method. For the purposes of theoretical considerations, the impact of corrosion of the beam reinforcement was assumed in the form of a history of changes in the intensity of the corrosion current obtained in another research work. Finally, the obtained results confirmed the assumptions regarding the possibility of estimating the corrosion current density on the basis of the deflection of the analyzed beam.
Emerging technologies and language learning: mining the past to transform the future
Authors: Hubbard Philip 
Published: April 2023

AbstractThis paper is an expanded version of a keynote presentation for the 2022 ChinaCALL Conference on the theme of “emerging technologies”. Today’s emerging technologies—artificial intelligence, machine learning, conversational robots, virtual worlds, virtual reality, augmented reality, automated assessment, and so on—are full of promise and seem poised to revolutionize language teaching and learning over the next decade. However, rather than looking forward, I review lessons I have learned over a four-decade career in CALL, focusing on those lessons that have continuing relevance for accommodating these and future technologies as they emerge. In the first part, I present a simple model for technology-mediated language learning as a foundation for the remaining discussion. In the second, I review seven challenges that I worked on in CALL, starting in the 1980s. I describe how I came to be aware of the issues involved and how through a combination of reviewing research, collaborating with colleagues, and drawing on my own experience, I came to learn lessons of enduring value. The final part briefly explores the potential for converting these and other lessons learned into principles to guide current and future encounters with technologies for language teaching and learning.
Mitigation of nonlinearities in long-haul DWDM soliton-based communication system
Authors: Kaur Paramjit , Dhawan Divya , Gupta Neena 
Published: April 2023

Abstract
The ongoing challenge of research and development is focusing on increasing the overall capacity of the transmission medium, achieving a high bit rate, and designing long-haul optical communication systems. The main requirement of the transmission system in supporting high bit rates in optical communication systems is their tolerance to nonlinear fiber impairments. Optical soliton pulses that preserve their shape over long distances are the straightforward solution to this problem. In this paper, DWDM soliton-based optical communication system is designed to mitigate the nonlinear effects at a data rate of 10 Gbps with channel spacing of 100 GHZ by using a microring resonator (MRR) device which acts as an add/drop filter that generates a filter narrowband wavelength from a wider optical spectrum. The transmission link of the optical fiber has a total length of 180 km and MRR is inserted at the end of the loop which provides the required bandwidth. The high bit rate signals can be transmitted through this MRR system to get the filtered signal which is less affected by the nonlinearities. This filtered signal is observed at a total transmission distance of 54,000 km. Also, by using dispersion compensation techniques, the impact of four-wave mixing (FWM) is mitigated. The performance of the designed system is evaluated based on the quality factor (Q-factor) along with the bit error rate (BER) obtained.
Liver abscess complicated with multiple organ invasive infection caused by hematogenous disseminated hypervirulent Klebsiella pneumoniae: A case report
Authors: Chen Qingyun , Zhang Ye , Zhang Lei , Xian Shaojing , Huang Linhui , Ding Xiuxiu , Wu Hua , Xia Han , Yang Xuying , Cai Xingjun 
Published: April 2023

Abstract
Hypervirulent Klebsiella pneumoniae (hvKp) causes increasing infections in healthy individuals from the community. In severe cases, it can cause multiple organ infection with invasive metastasis of blood sources, seriously threatening the patients’ life. Rapid and accurate diagnosis of the pathogen becomes the key to timely antibiotic treatment to improve the prognosis. This article reports a case of liver abscess complicated with multiple organ invasive infection caused by hematogenous-disseminated hvKp. K. pneumoniae was identified by culture and metagenomic next-generation sequencing (mNGS) using blood and liver abscess drainage fluid. The isolates from the two samples were subsequently identified with high homology (99.999%) by whole genome sequencing. In addition, multiple virulence genes were detected in the two isolates and the string test was positive, indicating hvKp with hypermucoviscosity phenotype. Multiple antibiotic treatments were given. The conditions of the patient were stable but the temperature remained high. Surgical drainage treatment was performed, and the patient’s body temperature immediately dropped to normal. He finally recovered after 6 months of follow-up. mNGS using body fluids can facilitate the rapid diagnosis of pathogens. For hvKp infection, choosing a better antibiotic therapy and receiving surgical drainage can significantly improve the prognosis of the patient.
Versatile biomimetic nanomedicine for treating cancer and inflammation disease
Authors: Zhao Zhiwen , Wang Dangge , Li Yaping 
Published: April 2023

Abstract
Nanosized drug delivery systems (NDDSs) have emerged as a powerful tool to optimize drug delivery in complex diseases, including cancer and inflammation. However, the therapeutic effect of NDDSs is still far from satisfactory due to their poor circulation time, low delivery efficiency, and innate toxicity. Fortunately, biomimetic approaches offer new opportunities to develop nanomedicine, which is derived from a variety of native biomolecules including cells, exosomes, bacteria, and so on. Since inheriting the superior biocompatibility and versatile functions of natural materials, biomimetic nanomedicine can mimic biological processes, prolong blood circulation, and lower immunogenicity, serving as a desired platform for precise drug delivery for treating cancer and inflammatory disease. In this review, we outline recent advances in biomimetic NDDSs, which consist of two concepts: biomimetic exterior camouflage and bioidentical molecule construction. We summarize engineering strategies that further functionalized current biomimetic NDDSs. A series of functional biomimetic NDDSs created by our group are introduced. We conclude with an outlook on remaining challenges and possible directions for biomimetic NDDSs. We hope that better technologies can be inspired and invented to advance drug delivery systems for cancer and inflammation therapy.
Dangerous politeness? Understandings of politeness in the COVID-19 era and beyond
Authors: Sifianou Maria 
Published: April 2023

AbstractWhat (im)politeness means changes over time. As these changes are usually gradual, we tend to be relatively unaware of them. However, when changes are abrupt, people not only notice but are also concerned with them. The COVID-19 pandemic entailed such abrupt changes involving new rules most of which are at odds with the rather automatic conventions of politeness that we follow. My aim in this paper is to explore what politeness means to non-academics in the context of the pandemic and how similar or different their understandings are from academic accounts. To this end, I will draw from an online article entitled “Your politeness is a public health hazard”, which appeared at the onset of the pandemic, and the user-generated comments it triggered. The discussion is placed within the discursive turn in (im)politeness research, considering its key distinction between first-order and second-order conceptualisations of politeness. The findings suggest that politeness in the pandemic is still mostly understood as consideration for the other, an understanding shared with (im)politeness research. However, posters’ views are broader overlapping with understandings of ‘civility’. These views manifest their knowledge as observers and participants of social reality but also reveal that they are in dialogue with work in philosophy, sociology and psychology.