bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comprehensive temporal analysis of right ventricular function and pulmonary haemodynamics in mechanically ventilated COVID-19 ARDS patients
Authors: Tsolaki Vasiliki , Zakynthinos George E. , Karavidas Nikitas , Vazgiourakis Vasileios , Papanikolaou John , Parisi Kyriaki , Zygoulis Paris , Makris Demosthenes , Zakynthinos Epaminondas 
Published: February 2024

Abstract
Background
Cardiac injury is frequently reported in COVID-19 patients, the right ventricle (RV) is mostly affected. We systematically evaluated the cardiac function and longitudinal changes in severe COVID-19 acute respiratory distress syndrome (ARDS) admitted to the intensive care unit (ICU) and assessed the impact on survival.

Methods
We prospectively performed comprehensive echocardiographic analysis on mechanically ventilated COVID-19 ARDS patients, using 2D/3D echocardiography. We defined left ventricular (LV) systolic dysfunction as ejection fraction (EF) < 40%, or longitudinal strain (LS) > − 18% and right ventricular (RV) dysfunction if two indices among fractional area change (FAC) < 35%, tricuspid annulus systolic plane excursion (TAPSE) < 1.6 cm, RV EF < 44%, RV–LS > − 20% were present. RV afterload was assessed from pulmonary artery systolic pressure (PASP), PASP/Velocity Time Integral in the right ventricular outflow tract (VTIRVOT) and pulmonary acceleration time (PAcT). TAPSE/PASP assessed the right ventriculoarterial coupling (VACR).

Results
Among 176 patients included, RV dysfunction was common (69%) (RV–EF 41.1 ± 1.3%; RV–FAC 36.6 ± 0.9%, TAPSE 20.4 ± 0.4mm, RV–LS:− 14.4 ± 0.4%), usually accompanied by RV dilatation (RVEDA/LVEDA 0.82 ± 0.02). RV afterload was increased in most of the patients (PASP 33 ± 1.1 mmHg, PAcT 65.3 ± 1.5 ms, PASP/VTIRVOT, 2.29 ± 0.1 mmHg/cm). VACR was 0.8 ± 0.06 mm/mmHg. LV–EF < 40% was present in 21/176 (11.9%); mean LV–EF 57.8 ± 1.1%. LV–LS (− 13.3 ± 0.3%) revealed a silent LV impairment in 87.5%. A mild pericardial effusion was present in 70(38%) patients, more frequently in non-survivors (p < 0.05). Survivors presented significant improvements in respiratory physiology during the 10th ICU-day (PaO2/FiO2, 231.2 ± 11.9 vs 120.2 ± 6.7 mmHg; PaCO2, 43.1 ± 1.2 vs 53.9 ± 1.5 mmHg; respiratory system compliance—CRS, 42.6 ± 2.2 vs 27.8 ± 0.9 ml/cmH2O, all p < 0.0001). Moreover, survivors presented significant decreases in RV afterload (PASP: 36.1 ± 2.4 to 20.1 ± 3 mmHg, p < 0.0001, PASP/VTIRVOT: 2.5 ± 1.4 to 1.1 ± 0.7, p < 0.0001 PAcT: 61 ± 2.5 to 84.7 ± 2.4 ms, p < 0.0001), associated with RV systolic function improvement (RVEF: 36.5 ± 2.9% to 46.6 ± 2.1%, p = 0.001 and RV–LS: − 13.6 ± 0.7% to − 16.7 ± 0.8%, p = 0.001). In addition, RV dilation subsided in survivors (RVEDA/LVEDA: 0.8 ± 0.05 to 0.6 ± 0.03, p = 0.001). Day-10 CRS correlated with RV afterload (PASP/VTIRVOT, r: 0.535, p < 0.0001) and systolic function (RV–LS, 0.345, p = 0.001). LV–LS during the 10th ICU-day, while ΔRV–LS and ΔPASP/RVOTVTI were associated with survival.

Conclusions
COVID-19 improvements in RV function, RV afterload and RV–PA coupling at day 10 were associated with respiratory function and survival.
Deep learning-based expressive speech synthesis: a systematic review of approaches, challenges, and resources
Authors: Barakat Huda , Turk Oytun , Demiroglu Cenk 
Published: February 2024

AbstractSpeech synthesis has made significant strides thanks to the transition from machine learning to deep learning models. Contemporary text-to-speech (TTS) models possess the capability to generate speech of exceptionally high quality, closely mimicking human speech. Nevertheless, given the wide array of applications now employing TTS models, mere high-quality speech generation is no longer sufficient. Present-day TTS models must also excel at producing expressive speech that can convey various speaking styles and emotions, akin to human speech. Consequently, researchers have concentrated their efforts on developing more efficient models for expressive speech synthesis in recent years. This paper presents a systematic review of the literature on expressive speech synthesis models published within the last 5 years, with a particular emphasis on approaches based on deep learning. We offer a comprehensive classification scheme for these models and provide concise descriptions of models falling into each category. Additionally, we summarize the principal challenges encountered in this research domain and outline the strategies employed to tackle these challenges as documented in the literature. In the Section 8, we pinpoint some research gaps in this field that necessitate further exploration. Our objective with this work is to give an all-encompassing overview of this hot research area to offer guidance to interested researchers and future endeavors in this field.
Fixed point theorems for generalized $(\alpha , \phi )$-Meir–Keeler type hybrid contractive mappings via simulation function in b-metric spaces
Authors: Abduletif Mamud Mustefa , Koyas Tola Kidane 
Published: February 2024

AbstractIn this paper, we introduce the notion of generalized $(\alpha , \phi )$
(
α
,
ϕ
)
-Meir–Keeler hybrid contractive mappings of type I and II via simulation function and establish fixed point theorems for such mappings in the setting of complete b-metric spaces. Our results extend and generalize many related fixed point results in the existing literature. Finally, we provide an example in support of our main finding.
Emotional labor as emotion regulation investigated with ecological momentary assessment – a scoping review
Authors: Pinkawa Corinna , Dörfel Denise 
Published: February 2024

Abstract
Background
This scoping review’s aim is to provide a comprehensive overview of ecological momentary assessment (EMA)- based research on emotional labor (EL) as emotion regulation (ER). This includes an examination of the theoretical foundation this research builds on, how the hypothesized relationships are investigated using EMA methods as well as the studies’ findings themselves. We built on the work of Grandey and Melloy (J Occup Health Psychol 22:407–22, 2004), who broadly distinguished between the two regulatory strategies of deep acting (DA) and surface acting (SA), embedded in a hierarchical model of emotional labor, as a guiding theory for structuring this review.

Methods
To be included, studies had to use EMA to measure SA or DA, with no restrictions regarding population and date of publication. The electronic databases CINAHL, PsycArticles, PsycINFO, PSYNDEX, Embase, PubMed, and Web of Science were searched. Studies were included if they met the above criteria and were written in English or German. Out of 237 publications, 12 were chosen for this review.

Results
All studies were based on emotional labor theories, with Arlie Hochschild’s theory being the most popular, followed by Alicia Grandey's emotional labor theory and its modifications (Grandey AA. Emotion Regulation in the Workplace: A New Way to Conceptualize Emotional Labor; Grandey AA. When “the show must go on”: Surface acting and deep acting as determinants of emotional exhaustion and peer-rated service delivery. 2003). The methodological quality of the studies varied greatly. The results of the studies indicate that SA is influenced by negative events, trait SA, service innovation and certain emotions, while DA is influenced by positive events and emotional intelligence. Emotional labor benefits the organization, e.g., by improving customer conflict handling, but also causes harm by increasing employee withdrawal behavior. For the employee, emotional labor results in more harm than benefits.

Conclusions
The research area is still in its early stages and the findings are mostly consistent, but the small number of studies needs to be replicated to increase the reliability of the results. The lack of evidence for ertain hypotheses highlights the presence of unresolved relationships that require further exploration. We are only at the beginning of investigating emotional labor using ecological momentary assessment, and conducting more high-quality studies will significantly enhance our comprehension of emotional labor.
Which one? Technology or non-technology-assisted vocabulary learning: a probe into the state of academic buoyancy, creativity, and academic achievement
Authors: Abu Al-majd Omar , Belton Barana 
Published: February 2024

AbstractIgnoring technology in teaching English language in EFL contexts persuaded the researchers to do this study. In fact, this research looked at how Saudi Arabian EFL learners' academic achievement (AA), creativity, and academic buoyancy (AB) were affected by vocabulary acquisition with and without the use of technology. Fifty intermediate EFL students were chosen based on the convenience sampling method to accomplish this goal, and they were split into two groups: control and experimental. Subsequently, the three questionnaires were given out to evaluate the participants' AB, AA, and creativity before the treatment. Next, utilizing the WhatsApp application to teach new words to the experimental group (EG) and the control group using the conventional technique, the research completed a 16-session treatment. At the end of the course, the post-tests for the AB, AA, and creativity for both groups were administered. The results of this research revealed that on three post-tests, the EG outperformed the control group. In other words, the technology-based treatment helped the EG to develop their AA, AB, and creativity. There are implications for English teachers, students, researchers, and other stakeholders from the current study. The implications of this research can encourage EFL teachers to incorporate technology into their English classes.
Trauma surgical simulation: discussing the replacement of live animals used as human patient simulators
Authors: Swain Cara , Stathakarou Natalia , Alzuguren Pilar , Lemarteleur Vincent , Moffatt Ryan , Karlgren Klas 
Published: February 2024

Abstract
Background
Despite advances in simulator technology, live anaesthetised animals continue to be used as human patient simulators for medical professionals to practice techniques in the management of surgical trauma. This article describes the process of convening a working group of individuals with a professional interest in simulation to discuss the use of live animals and consider if and how they can be replaced in the future.

Main body
A working group was formed of voluntary attendees to a workshop held at the SESAM 2023 conference. Iterative discussions reflecting on the topic were used to produce statements summarising the working group’s opinions. The working group determined that live animals are used as human patient simulators due to the presence of accurate and responsive physiology in the presence of bleeding, realistic tissue tactility and an emotional response experienced by the learner due to interaction with the animal. They were unable to reach a consensus on replacement, determining that there is currently no single model which is able to provide all the learning aspects which a live animal model can provide. Several suggestions were made regarding development of technologies and pedagogical change.

Conclusion
Replacement of live animals in surgical simulation is not straightforward but should be an aspiration, if possible. For the ongoing development of trauma surgical simulation models, it is important to combine the knowledge, skills and perspectives of medical stakeholders and educators, academic researchers and industry experts in producing alternative options to the use of live animal simulators.
Generative AI and re-weaving a pedagogical horizon of social possibility
Authors: Hall Richard 
Published: February 2024

AbstractThis article situates the potential for intellectual work to be renewed through an enriched engagement with the relationship between indigenous protocols and artificial intelligence (AI). It situates this through a dialectical storytelling of the contradictions that emerge from the relationships between humans and capitalist technologies, played out within higher education. It argues that these have ramifications for our conceptions of AI, and its ways of knowing, doing and being within wider ecosystems. In thinking about how technology reinforces social production inside capitalist institutions like universities, the article seeks to refocus our storytelling around mass intellectuality and generative possibilities for transcending alienating social relations. In so doing, the focus shifts to the potential for weaving new protocols, from existing material and historical experiences of technology, which unfold structurally, culturally and practically within communities. At the heart of this lies the question, what does it mean to live? In a world described against polycrisis, is it possible to tell new social science fictions, as departures towards a new mode of higher learning and intellectual work that seeks to negate, abolish and transcend the world as-is?
From use cases to business cases: I-GReta use cases portfolio analysis from innovation management and digital entrepreneurship models perspectives
Authors: Malakhatka Elena , Pitz Manuel , Maghnie Marwa , Mazidi Mohammadreza , Plamanescu Radu , Sumereder Christof , Prüfer Thomas , Wallbaum Holger , Müller Dirk , Monti Antonello 
Published: February 2024

AbstractThis study provides a detailed exploration of how innovation management and digital entrepreneurship models can help transform technical use cases in smart grid contexts into viable business cases, thereby bridging the gap between technical potential and market application in the field of energy informatics. It focuses on the I-GReta project Use Cases (UCs). The study employs methodologies like Use Case Analysis, Portfolio Mapping of Innovation Level, Innovation Readiness Level, and the Tech Solution Business Model Canvas (TSBMC) to analyse and transition from technical use cases to viable business cases. This approach aligns technological solutions with market demands and regulatory frameworks, leveraging digital entrepreneurship models to navigate market challenges and foster energy management, sustainability, and digitalization.
Comparative study to determine the proper sequence of simulation training, pelvic trainer versus virtual reality simulator: a pilot study
Authors: Sherpa Ngima Yangji , Minawi Ahmed El , Askalany Ahmed N , Abdalla Marwa 
Published: February 2024

Abstract
Background
Increased surgical efficacy has led to a remarkable increase in the usage of minimally invasive surgical procedures since their inception. The use of simulation in surgical teaching has grown significantly during the past 10 years. Several laparoscopic simulators have been built. Virtual reality (VR) simulators and box trainers (BTs), often known as pelvic trainers, are the two primary training modalities used in hospitals and clinical training institutes for the development and acquisition of laparoscopic skills. Our study aimed to evaluate the proper sequence of pelvic trainers and VR simulator training to improve laparoscopic gynecological skills.

Methodology
We carried out this pilot study at the Virtual Endoscopic Simulation and Skills Acquisition Laboratory at the Obstetrics and Gynecology Department in the Kasr Al Ainy Hospital, Faculty of Medicine, Cairo University, Egypt, from February to August 2022. All residents with minimal or without laparoscopic experience (twenty residents) were divided into two groups and classified as (group A versus group B). Group A’s training began with a pelvic trainer, which was tested using a checklist. Later, the group trained on a virtual reality simulator, which tested them using an electronic autoassessment. After training on a virtual reality simulator and passing an electronic autoassessment test, group B moved on to pelvic trainers and had a checklist-based assessment.

Results
We compared pelvic trainer tasks between the training groups, and detected no significant differences in camera navigation, cutting pattern, peg transfer, or running stitches (P values 0.646, 0.341, 0.179, and 0.939 respectively); when we compared VR simulator tasks between the training groups, there were no significant differences in camera navigation, cutting pattern, peg transfer, or running stitches (P values 0.79, 0.3, 0.33, and 0.06, respectively).

Conclusion
There was no difference in training, between residents who started on a pelvic trainer or the VR simulator; therefore, both could be used in laparoscopic training with no preferred order.

Trial registration
The trial was registered at clinicaltrials.gov with the name “Pelvic trainer vs VRS” and the identifier “NCT05255614.” The registration date was January 19, 2022, and the trial was prospectively registered. URL: https://register.clinicaltrials.gov/prs/app/action/ViewOrUnrelease?uid=U0004GED&ts=22&sid=S000BR5D&cx=t6mc14
Impact of prosthesis oversizing on clinical outcomes of transcatheter aortic valve implantation using a self-expandable Evolut R valve
Authors: Elnwagy Mohammed Moustafa , Baraka Mahmoud Mohamed Ali , Hafez Mohamed Saber , Kamal Diaa , El-Sayed Maiy Hamdy , Mostafa Ahmad E. 
Published: February 2024

Abstract
Background
Transcatheter Aortic Valve Implantation (TAVI) has a growing target population after being indicated even in low-surgical-risk patients with severe symptomatic aortic stenosis. However, postoperative outcomes can be compromised due to para-valvular leakage (PVL). A lot of procedural steps have been investigated to decrease this partially avoidable operational hazard. Oversizing is a main technique to decrease the PVL, despite being itself a risky step. Many studies have been conducted to identify the optimum degree of oversizing. However, studies about oversizing by more than 20% are scarce. We aimed to evaluate the safety and efficacy of oversizing equal to or more than 20%.

Results
209 patients who underwent TAVI using the self-expandable valve Evolut R were initially included. 66 patients were excluded because of the baseline conduction disturbance and lack of sufficient data, so 143 patients, 60 females and 83 males, were enrolled in our study as two groups based on the degree of oversizing: Group A included 97 patients with an oversizing index (OI) of less than 20%, and Group B included 46 patients with an OI of 20% or more. We conducted a new technique for more accurate measuring of the OI in the context of the implantation depth, and our patients were categorized using this technique. Our findings have met our primary end point in terms of the safety and efficacy of oversizing by 20% or more. There was no significant difference between both groups in terms of new-onset conduction disturbance (NOCD), with zero cases of annular rupture or coronary encroachment. In terms of efficacy, The incidence of significant PVL (grade 2 or more) in group B was less than in group A (P value 0.007). The ROC curve found that the minimum depth of implantation-derived oversizing (DIDO) to predict no significant PVL was less than 17%.

Conclusion
Prosthesis oversizing by 20% using the self-expandable Evolut R valve is safe and effective, with no significant effect on the conduction system, coronary encroachment, or annular injury, and warrants a greater reduction in the incidence of significant PVL.
Neuroimaging in uncontrolled hyperglycemia: a case series and literature review
Authors: Panneer Serene Balaji , Jain Ayush 
Published: February 2024

Abstract
Background
There are wide-ranging differential diagnoses for the myriad of neurological symptoms associated with non-ketotic hyperglycemia. Similarly, various secondary complications of diabetic ketoacidosis present with nonspecific clinical symptoms. These are inadvertently misdiagnosed as epilepsies and strokes with associated hyperglycemia. Direct association between these nonspecific symptoms and hyperglycemia has been proved by demonstrating their resolution with correction of the latter. This case series portrays the spectrum of few rare neuroimaging findings of uncontrolled hyperglycemia, which helps in proper and prompt diagnoses.

Case presentation
Five diabetic patients with uncontrolled hyperglycemia were observed. Striatal hyperdensity on computed tomography or striatal T1 hyperintensity on magnetic resonance imaging was observed in three patients who presented with movement disorders. The abnormality was bilateral in one case. These observations were consistent with hyperglycemia-induced hemichorea–hemiballismus syndrome. In another patient who had presented with focal seizures, magnetic resonance imaging revealed subcortical T2/FLAIR hypointensity in bilateral occipital regions, which has been described to be characteristic for non-ketotic hyperglycemia-related seizures. Yet another patient who had been treated for diabetic ketoacidosis had developed bilateral lower-limb weakness. In correlation with a background of rapid correction of hyponatremia, magnetic resonance imaging revealed symmetric areas of altered signal intensity in the bilateral perirolandic region showing an open ring pattern of diffusion restriction, suggesting extrapontine myelinolysis.

Conclusions
In all the cases, the clinical differentials were wide. Neuroimaging was mandatory in establishing hyperglycemia as the underlying cause for the movement disorders and seizures. Also, neuroimaging aided in timely identification of extra-pontine myelinolysis, which might have prevented further central pontine involvement in the patient with diabetic ketoacidosis.
Computer aided design of novel antibiotic drug candidate against multidrug resistant strains of Salmonella typhi from pyridine-substituted coumarins
Authors: Ameji Philip John , Uzairu Adamu , Shallangwa Gideon Adamu , Uba Sani 
Published: February 2024

Abstract
Background
The rising cases of resistance to existing antibiotics by Salmonella typhi, has made the development of novel drug candidates a necessity. In this study, a data set of antibacterial pyridine substituted coumarins were subjected to Virtual Screening against SipA effector protein of the bacterium. The compounds were geometry-optimized using Semi-empirical (pm3) method in Spartan 14 software, docked against the active sites of SipA using AutoDock Vina software. The molecule with the best docked score was selected as template and subjected to structural modifications leading to the design of a novel coumarin based drug candidate codenamed Y-1.

Results
The docking of Y-1 against SipA revealed that it binds to the target with ΔG value of − 9.1 kcal/mol. This value is better than − 6.8 kcal/mol obtained for ciprofloxacin used herein for quality assurance. Additionally, quantum mechanical calculations on Y-1 using DFT (B3LYP/6-31G* basis set) shows a wide energy gap of 3.44 eV and ω value of 1.47 eV, indicating its sound kinetic and thermodynamic stabilities. Y-1 was also found to possess good oral bioavailability and positive pharmacokinetic profiles.

Conclusion
This is the first time coumarin derivatives are screened against an effector protein of Salmonella typhi. It is envisaged that the findings of this research will provide an excellent blueprint toward the development of novel antibiotics against Salmonella typhi.