bluuebunny/crossref_metadata_2025_split huggingface dataset:
N-terminal truncated phospholipase A1 accessory protein PlaS from Serratia marcescens alleviates inhibitory on host cell growth and enhances PlaA1 enzymatic activity
Authors: Hu Mengkai , Liu Jun , Gan Yufei , Zhu Hao , Han Rumeng , Liu Kun , Liu Yan , Zhao Ming , Li Xiangfei , Xue Zhenglian 
Published: June 2024

AbstractPhospholipase A1 (PLA1) is a kind of specific phospholipid hydrolase widely used in food, medical, textile. However, limitations in its expression and enzymatic activity have prompted the investigation of the phospholipase-assisting protein PlaS. In this study, we elucidate the role of PlaS in enhancing the expression and activity of PlaA1 through N-terminal truncation. Our research demonstrates that truncating the N-terminal region of PlaS effectively overcomes its inhibitory effect on host cells, resulting in improved cell growth and increased protein solubility of the protein. The yeast two-hybrid assay confirms the interaction between PlaA1 and N-terminal truncated PlaS (∆N27 PlaS), highlighting their binding capabilities. Furthermore, in vitro studies using Biacore analysis reveal a concentration-dependent and specific binding between PlaA1 and ∆N27 PlaS, exhibiting high affinity. Molecular docking analysis provides insights into the hydrogen bond interactions between ∆N27 PlaS and PlaA1, identifying key amino acid residues crucial for their binding. Finally, the enzyme activity of PLA1 was boost to 8.4 U/mL by orthogonal test. Study significantly contributes to the understanding of the interaction mechanism between PlaS and PlaA1, offering potential strategies for enhancing PlaA1 activity through protein engineering approaches.
An automatic peak deconvolution code for Raman spectra of carbonaceous material and a revised geothermometer for intermediate- to moderately high-grade metamorphism
Authors: Kaneki Shunya , Kouketsu Yui , Aoya Mutsuki , Nakamura Yoshihiro , Wallis Simon R. , Shimura Yusuke , Yamaoka Ken 
Published: June 2024

AbstractCarbonaceous material (CM) undergoes progressive changes that reflect its thermal history. These changes are in general irreversible and provide valuable information for understanding diagenetic and metamorphic processes of crustal rocks. Among various approaches to quantify these changes, the R2 ratio, area ratio of specific peaks in CM Raman spectra, is widely used to estimate the maximum temperature of intermediate- to moderately high-grade metamorphism. The calculation of the R2 ratio requires peak deconvolution of the original spectrum, and the results depend on the details of how this is carried out. However, a clear protocol for selecting appropriate initial conditions has not been established and obtaining a reliable temperature estimate depends at least in part on the experience and skill of the operator. In this study, we developed a Python code that automatically calculates the R2 ratio from CM Raman spectra. Our code produces R2 ratios that are generally in good agreement with those of Aoya et al. (J Metamorph Geol 28:895–914, 2010, https://doi.org/10.1111/j.1525-1314.2010.00896.x) for the same Raman data, with much less time and effort than was the case in the previous studies. We have confirmed that the code is also applicable to other previous datasets from both contact and regional metamorphic regions. The overall trend of the recalculated data indicates that samples with R2 greater than ~ 0.7 are not sensitive to the changes in CM maturity and thus should not be used for the calibration of an R2-based geothermometer. We propose a modified geothermometer for contact metamorphism that is strictly applicable to samples with R2 from 0.023 to 0.516, with the proviso that a laser with a wavelength of 532 nm should be used. A slight extrapolation of the newly proposed geothermometer up to R2 of 0.57 provides a temperature estimate that is consistent with the geothermometer of Kaneki and Kouketsu (Island Arc 31:e12467, 2022; https://doi.org/10.1111/iar.12467); the boundary between the two geothermometers corresponds to a temperature of 391 °C.
The role of machine learning algorithms in detection of gestational diabetes; a narrative review of current evidence
Authors: Kokori Emmanuel , Olatunji Gbolahan , Aderinto Nicholas , Muogbo Ifeanyichukwu , Ogieuhi Ikponmwosa Jude , Isarinade David , Ukoaka Bonaventure , Akinmeji Ayodeji , Ajayi Irene , Chidiogo Ezenwoba , Samuel Owolabi , Nurudeen-Busari Habeebat , Muili Abdulbasit Opeyemi , Olawade David B. 
Published: June 2024

AbstractGestational Diabetes Mellitus (GDM) poses significant health risks to mothers and infants. Early prediction and effective management are crucial to improving outcomes. Machine learning techniques have emerged as powerful tools for GDM prediction. This review compiles and analyses the available studies to highlight key findings and trends in the application of machine learning for GDM prediction. A comprehensive search of relevant studies published between 2000 and September 2023 was conducted. Fourteen studies were selected based on their focus on machine learning for GDM prediction. These studies were subjected to rigorous analysis to identify common themes and trends. The review revealed several key themes. Models capable of predicting GDM risk during the early stages of pregnancy were identified from the studies reviewed. Several studies underscored the necessity of tailoring predictive models to specific populations and demographic groups. These findings highlighted the limitations of uniform guidelines for diverse populations. Moreover, studies emphasised the value of integrating clinical data into GDM prediction models. This integration improved the treatment and care delivery for individuals diagnosed with GDM. While different machine learning models showed promise, selecting and weighing variables remains complex. The reviewed studies offer valuable insights into the complexities and potential solutions in GDM prediction using machine learning. The pursuit of accurate, early prediction models, the consideration of diverse populations, clinical data, and emerging data sources underscore the commitment of researchers to improve healthcare outcomes for pregnant individuals at risk of GDM.
How likely is it to beat the target at different investment horizons: an approach using compositional data in strategic portfolios
Authors: Vega-Gámez Fernando , Alonso-González Pablo J. 
Published: June 2024

AbstractStrategic portfolios are asset combinations designed to achieve investor objectives. A unique feature of these investments is that portfolios must be rebalanced periodically to maintain the initially established structure. This paper introduces a methodology to estimate the probability of not exceeding a specific profitability target with this type of portfolio to determine if this kind of build portfolio makes obtaining certain profitability targets easy. Portfolios with a specific distribution of fixed-income and equity securities were randomly replicated and their performance was studied over different time horizons. Daily data from 2004 to 2021 was used. Since the sum of all asset weights invariably equals the unit, the original data were transformed using the compositional data methodology. With these transformed data, the probabilities were estimated for each analyzed portfolio. The study also performed a sensitivity analysis of the estimated probabilities, modifying the weight of specific assets in the portfolio.
Identifying the priorities for supervision by lived experience researchers: a Q sort study
Authors: Gupta Veenu , Eames Catrin , Bryant Alison , Greenhill Beth , Golding Laura , Day Jennifer , Fisher Peter 
Published: June 2024

Abstract
Background
Lived experience researchers draw on their lived and living experiences to either lead on or inform research. Their personal experiences are relevant to the research topic and so they must manage the interplay of their health and healthcare experiences with the research, population, and data they work with, as well as the more general challenges of being a researcher. Lived experience researchers must navigate these dilemmas in addition to queries over their competency, due to issues relating to intersectionality and epistemic injustice. This justifies a motivation to better understand the experiences of lived experience researchers and develop appropriate and personalised supervision based on their preferences and needs.

Methods
Q methodology was used to identify a collection of identity-related issues that impact lived experience researchers during PhD research in the context of the UK. These issues were presented in the form of 54 statements to 18 lived experience researchers to prioritise as topics to explore in supervision.

Result
It was found that lived experiences researchers could be grouped into three distinct factors following an inverted factor analysis: Factor 1: Strengthening my identity, skills, growth, and empowerment; Factor 2: Exploring the emotional and relational link I have with the research and Factor 3: Navigating my lived and professional experiences practically and emotionally. The findings suggest that there may be three types of lived experience researchers, each with different needs from supervision, suggesting the population is heterogeneous.

Conclusion
The research identified a deeper understanding of the needs of lived experience researchers and highlights the importance of personalised supervision according to the individual needs of the researcher and their preferences for supervision. The findings reinforce the importance of integrating a clinical dimension into supervision to support the needs of all lived experience researchers.
Correlation between audiological and radiological findings in otosclerosis: randomized clinical study
Authors: Abd-Elhmid Ibrahim H. , Abish Yasser G. , Zaghloul Boshra A. , Hussein Hossam A. , Ghanem Soliman S. 
Published: June 2024

Abstract
Background
The standard methods for diagnosing otosclerosis (OS) include clinical and audiological testing. Radiologic imaging continues to expand with use in diagnosis, staging, surgery planning, and outcomes.

Objective
To determine if high resolution computed tomography (HRCT) imaging advances to the audiological findings in the diagnosis of otosclerosis.

Methods
This prospective randomized controlled study was conducted from June 2018 to June 2022. Fifty patients with OS who divided into two subgroups: group 2a, 50 early OS ears, and group 2b, 35 ears with late OS. The controls includes 50 individuals who have healthy ears (group 1). All participants had otorhinolaryngology examination, audiological evaluation and HRCT imaging.

Results
Early OS had higher air conduction thresholds than control, and late OS had considerably higher air conduction thresholds than either the early or control subjects (p < 0.001). Early OS patients had higher bone conduction threshold (BCT) than control, while late OS patients had higher BCT than both early and control subjects (p < 0.001). In early and late OS, there is a significant association between bone conduction of 11 dB and 21.6 dB, respectively (P = 0.004), and a significant air–bone gap of 25.5 and 31 dB, respectively (P = 0.03). HRCT showed a sensitivity of 75% and high specificity 92% with accuracy 83% in early OS and sensitivity of 78% and high specificity 94% with accuracy 86% in late OS.

Conclusion
HRCT is a more sensitive and specific diagnostic tool for OS than audiometry. HRCT could discriminate between early and late OS, suggesting that it can be used to do so with a high degree of confidence.
Methods for evaluating the efficacy and effectiveness of direct-to-consumer mobile health apps: a scoping review
Authors: Prentice Carley , Peven Kimberly , Zhaunova Liudmila , Nayak Vaaruni , Radovic Tara , Klepchukova Anna , Potts Henry W. W. , Ponzo Sonia 
Published: June 2024

Abstract
Background
There is an evaluation crisis in mobile health (mHealth). The majority of mHealth apps are released with little evidence base. While many agree on the need for comprehensive evaluations to assess the efficacy and effectiveness of mHealth apps, the field is some way from achieving that. This scoping review describes the current state of direct-to-consumer mHealth app evaluations so as to inform how the situation can be improved.

Results
Findings showed a predominance of wellness management apps, focusing on fitness, diet, mental health, or other lifestyle factors. Evaluations were conducted by companies at varied financing stages, with a mix of start-ups, scale-ups, and public companies. Most studies employed full-scale or pilot randomised controlled trial designs.

Conclusions
Participant demographics indicate a need for more inclusive recruitment strategies around ethnicity and gender so as to avoid worsening health inequalities. Measurement tools varied widely, highlighting the lack of standardisation in assessing mHealth apps. Promoting evidence-based practices in digital health should be a priority for organisations in this space.
Effect of Gestational Diabetes on Fetal Growth Rate and Later Overweight in the Offspring
Authors: Leth-Møller Magnus , Hulman Adam , Kampmann Ulla , Hede Susanne , Ovesen Per G , Knorr Sine 
Published: June 2024

Abstract

Context
Children of women with gestational diabetes (GDM) are often born with a higher birthweight and have an increased risk of overweight during childhood. High fetal growth rate is also associated with being overweight in childhood.

Objective
To examine excessive fetal growth rate as a mediator between GDM and overweight in the offspring.

Methods
This was a longitudinal cohort study, using routinely collected data on children born between 2008 and 2014 in Aarhus, Denmark. Fetal biometrics were extracted from the patient records at Aarhus University Hospital and childhood weight from the health records at Aarhus Municipality Healthcare Service. We calculated growth trajectories for fetuses affected by GDM and for unaffected fetuses using cubic mixed model regression. We extracted individual fetal growth rate and estimated the contributing effect of fetal growth rate on the risk of being overweight in the 5- to 9-year-old offspring.

Results
We included 6794 mother-child pairs, 295 with GDM. Fetal growth was higher in women with GDM from week 25, and the offspring had an increased risk of being overweight (odds ratio, 2.02 [95% CI, 1.44-2.84]). When adjusting for fetal growth rate in week 28, the effect attenuated by 15%, and to 1.10 (95% CI, 0.76-1.60) when further adjusting for prepregnancy body mass index.

Conclusion
Pregnancies affected by GDM had higher fetal growth rate and the offspring had a higher risk of being overweight at age 5 to 9 years. Fetal growth rate in early third trimester was a mediator of up to 15% of this association, but prepregnancy body mass index contributed strongly as well.
Obsessed with Translation: Bovaristic Reading of Translated Love Stories in Early Twentieth-Century China
Authors: Liu Jane Qian 
Published: June 2024

Abstract
Just as reading in general can have an impact on a reader’s interpretation of reality, reading translated works can open up a distinctive understanding of the world, which then leads readers to act on their newly gained sentiments and ideals. The many foreign literary works translated into Chinese at the beginning of the twentieth century had a profound influence on Chinese readers’ perception of romance, marriage, and life. Chinese readers were obsessed with reading translated love stories that shed light on the way romantic love was conceived and expressed in the West. They often took what they read in novels like La dame aux camélias and Immensee to be principles of love in real life, and some even followed the life paths of the protagonists. This phenomenon can be best subsumed under the term Bovarysm, defined by Jules de Gaultier as “the human ability to conceive of oneself as other than one is.” Chinese writers actively engaged with translated love stories to create their own literary works, some of them autobiographical, while others parodied the perceived romantic love found in translated love stories.
Feminist Performance
Authors: Draper Susana , Valdés Vargas Daffne , Cometa Stange Paula , Van Rysseghem Sibila Sotomayor 
Published: June 2024

Abstract
In this interview, Colectivo LASTESIS reflects on the history of the collective and their understanding of feminist performance as a way of expanding different feminist theories and making them more accessible. Emphasizing the centrality of the body, they speak about the importance of moving ideas through concrete bodies. This requires the capacity to deploy different dimensions of both thought and textuality, such as sound, color, and texture, as well as to connect to an archive that has resisted centuries of colonialism. In this sense, the collective locates their work within a long history of performance, making visible the continuity between multiple archives that problematize different forms of colonialism and oppression, and making legible different creative forms of resistance.
Efeitos competitivos de IPOs e follow-ons
Authors: Videira Nádia , Castro F. Henrique , Silva Vinicius Augusto 
Published: June 2024

Este artigo analisa como as concorrentes do mesmo setor reagem no curto prazo aos momentos de anúncio e negociação de ofertas públicas primárias (IPO) e subsequentes (follow-on) na indústria. O estudo utiliza uma amostra de empresas brasileiras que realizaram emissão pública de ações no período de 2016 a 2020 e indica que os eventos de IPOs geram efeitos negativos nos preços das ações de suas rivais da indústria, enquanto ofertas de follow-ons geram implicações inversas. Os efeitos de curto prazo são mais favoráveis quando a emissão pública é de distribuição primária em relação às emissões de distribuição secundária.
Fast-Track surgery protocol in perioperative care for gynecological laparoscopy
Authors: Zhu Hongping , Xu Xiaoying 
Published: June 2024

Objectives: This study aimed to compare fast-track surgery (FTS) and traditional perioperative care protocols in laparoscopic gynecological surgeries, assessing their impact on length of stay (LOS), recovery time, and postoperative complications.
Methods: A case-control retrospective study was conducted at Suzhou Hospital of Integrated Chinese and Western Medicine, involving 167 patients undergoing laparoscopic gynecological surgery from June 2021 to June 2023. Of them, 81 patients underwent surgery based on the FTS protocol (FTS group) and 86 patients received a traditional perioperative management (control group). Patients in both groups underwent gynecologic laparoscopic procedures, including uterine, ovarian and tubal surgeries. Data were collected on general patients’ characteristics, including age, BMI, surgery type and time, intestinal recovery and out-of-bed activity time, LOS, pain levels, and postoperative complications. Wilcoxon rank sum test with continuity correction was used to assess the difference in operative characteristics and postoperative pain levels. Fisher’s exact test was used to assess the difference in overall frequency of postoperative complications between groups.
Results: Patients in the FTS group exhibited faster intestinal recovery, shorter mobilization time, and reduced LOS compared to the control group. Pain levels were significantly lower at one, six and twelve hours post-surgery in the FTS group. Overall, the proportion of postoperative complications was significantly lower in the FTS group than in the control group.
Conclusions: Implementing the FTS protocol in laparoscopic gynecological surgeries for benign conditions can reduce LOS, accelerate recovery, and minimize pain without increasing postoperative complications. Further research with more diverse patient populations is warranted to validate these findings.
doi: https://doi.org/10.12669/pjms.40.7.9117
How to cite this: Zhu H, Xu X. Fast-Track surgery protocol in perioperative care for gynecological laparoscopy. Pak J Med Sci. 2024;40(7):---------. doi: https://doi.org/10.12669/pjms.40.7.9117
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Competitive Model Selection in Algorithmic Targeting
Authors: Iyer Ganesh , Ke T. Tony 
Published: June 2024

We study how market competition influences the algorithmic design choices of firms in the context of targeting. Firms face a general bias-variance trade-off when choosing the design of a supervised learning algorithm in terms of model complexity or the number of predictors to accommodate. Each firm has a data analyst who uses the chosen algorithm to estimate demand for multiple consumer segments, based on which it devises a targeting policy to maximize estimated profits. We show that competition induces firms to strategically choose simpler algorithms that involve more bias but lower variance. Therefore, more complex/flexible algorithms may have higher value for firms with greater monopoly power. History: Anthony Dukes served as the senior editor for this article. Funding: This work was supported by Hong Kong Research Grants Council [project number 14503122].
Codesigning youth diversion programmes with community-led organisations: a case study
Authors: Walker Sarah C. , Cunningham Kathryn A. , Gilbert Emi J. , Norman Larry , Worthy Shaun , Holand Kathleen 
Published: June 2024

Background:We explore the feasibility of applying methods of participatory codesign to collaborative service development with community-led youth diversion programmes. Collaborative partnerships can support wealth redistribution and community mobilisation, a goal of governments aiming to implement equity-focused policy. There is little systematic exploration of methods aiming to structure the relationship between government and community-led programmes as part of youth criminal-legal diversion efforts.
Methods:We use case study methodology to assess the feasibility and impact of a curriculum codesign approach between a university research team and two community-led organisations providing diversion services through a county juvenile court. The codesign method was informed by participatory design and use of research evidence frameworks.
Findings:The analysis focuses on the feasibility of the approach from the perspective of the university research team and community organisations as well as how well the approach successfully navigated critical components of participatory process, including shared power, deference to community vision and values, and a valued end product. We conclude that the approach was generally feasible as a quality improvement strategy and well-received by the community-led organisations.
Discussion and conclusions:Codesign is a promising strategy for reconciling public administration and health equity goals. The approach used in this case study adds to a small literature on methods of using codesign as a quality improvement process with applications for government contracting and monitoring, programme development and capacity-building.