bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative study on real-time pose estimation of vision-based unmanned underwater vehicles
Authors: Li Ming , Yang Ke , Qin Jiangying , Zhong Jiageng , Jiang Zipeng , Su Qin 
Published: August 2023

Background: Navigation and localization are key to the successful execution of autonomous unmanned underwater vehicles (UUVs) in marine environmental monitoring, underwater 3D mapping, and ocean resource surveys. The estimation of the position and the orientation of autonomous UUVs are a long-standing challenging and fundamental problem. As one of the underwater sensors, camera has always been the focus of attention due to its advantages of low cost and rich content information in low visibility waters, especially in the fields of visual perception of the underwater environment, target recognition and tracking. At present, the visual real-time pose estimation technology that can be used for UUVs is mainly divided into geometry-based visual positioning algorithms and deep learning-based visual positioning algorithms. Methods: In order to compare the performance of different positioning algorithms and strategies, this paper uses C++ and python, takes the ORB-SLAM3 algorithm and DF-VO algorithm as representatives to conduct a comparative experiment and analysis. Results: The geometry-based algorithm ORB-SLAM3 is less affected by illumination, performs more stably in different underwater environments, and has a shorter calculation time, but its robustness is poor in complex environments. The visual positioning algorithm DF-VO based on deep learning takes longer time to compute, and the positioning accuracy is more easily affected by illumination, especially in dark conditions. However, its robustness is better in unstructured environments such as large-scale image rotation and dynamic object interference. Conclusions: In general, the deep learning-based algorithm is more robust, but multiple deep learning networks make it need more time to compute. The geometry-based method costs less time and is more accurate in low-light and turbid underwater conditions. However, in real underwater situations, these two methods can be connected as binocular vision or methods of multi-sensor combined pose estimation.
A study protocol in assessing knowledge attitude practices of breastfeeding amongst lactating women in Wardha, Maharashtra
Authors: Sahu Sweta , Nagtode Dr. Nikhilesh 
Published: August 2023

Background: The best strategy for enhancing a child's health is breastfeeding. Success depends on starting breastfeeding as soon as possible after birth. Breastfeeding should begin during the first few hours of life and should be continued for the first six months, according to the World Health Organization (WHO) and UNICEF. Early initiation of breastfeeding and six months of exclusive nursing are necessary for the infant's cognitive development. For a child to meet their developmental milestones and reduce the incidence of infant mortality in India, nutrition throughout the first 1000 days of life is essential. A substantial focus on modifying feeding habits in the first 1000 days is required. The study’s objectives are to assess the knowledge regarding early initiation to exclusive breastfeeding after childbirth (within 24 hours and seven days of post-delivery) and the knowledge regarding breastfeeding techniques. Methods: In this cross-sectional study, 355 lactating women are included in the age group of 20-35 years in the Wardha district. The study excludes those women who are not willing to participate, and those with medical conditions such as HIV, cancer, psychosis, active tuberculosis, complicated delivery, the baby who required neonatal NICU and neonatal resuscitation admission in the immediate post-delivery period, and those with Gross Congenital anomaly. The key outcome variables were timely and exclusive breastfeeding initiation and techniques. The data collection tool is a face-to-face questionnaire that will be developed through open data kit (ODK)) based on WHO and NFHS-4 and 5 surveys. We will analyze data through the use of Microsoft Excel software. Conclusions: Early breastfeeding initiation, exclusive breastfeeding, and supplemental feeding strategies are all included in the research to assess and identify women's knowledge, attitude, and nursing practices.
Learning healthcare systems and rehabilitation: a scoping review protocol
Authors: Christophers Lauren , Torok Zsofia , Cornall Catherine , Henn Aoife , Hudson Clare , Whyte Teresa , Stokes Diarmuid , Carroll Aine 
Published: August 2023

Background: Healthcare literature has proposed that “learning organisations” (LO) or “learning healthcare systems” (LHS) that continuously generate and apply evidence, innovation, quality, and value can provide better care. This is of value to non-acute healthcare settings such as rehabilitation, which are complex, multi-dimensional and multi-disciplinary in nature. Little is known about how these frameworks have been applied to rehabilitation settings. Objective and inclusion criteria: The aim of this scoping review is to systematically summarise the literature conceptualising and operationalising LHS and LO in rehabilitation settings. Studies will be included which define a LO or LHS, describe an operating LHS/LO or include the translation of research evidence generated from LHS/LO data into healthcare improvement within a rehabilitation context. All study designs will be included. Methods: The guidelines from the Joanna Briggs institute methodology for scoping reviews will be used for this review. The literature search will be performed using a three-step search strategy: an initial limited search of two databases has been performed to identify relevant key words and index terms. The developed search string will be adapted and applied across the following databases: OVID MEDLINE, EMBASE, CINAHL Plus, APA PsycINFO and COCHRANE Database of Systematic Reviews. Reference lists of selected sources and relevant data-hubs will also be searched. A draft data extraction framework will be used and updated iteratively to extract data. Data will be extracted and described to address the research question of how LHS and LO have been conceptualised and operationalised in the context of rehabilitation. Discussion and Implications: There is potential for rehabilitation focused LHSs to advance global rehabilitation services and facilitate best practice. Little is known about how rehabilitation focused LHSs have been constructed and sustained. This will be the first review to explore LHS application in rehabilitation, guiding future development and research.
An Operations Research–Based Teaching Unit for Grade 11: The ROAR Experience, Part II
Authors: Colajanni Gabriella , Gobbi Alessandro , Picchi Marinella , Raffaele Alice , Taranto Eugenia 
Published: August 2023

In this paper, we continue describing the project and the experimentation of Ricerca Operativa Applicazioni Reali (ROAR; in English, Real Applications of Operations Research), a three-year project for higher secondary schools, introduced. ROAR is composed of three teaching units, addressed to Grades 10, 11, and 12, respectively, having the main aim to improve students’ interest, motivation, and skills related to Science, Technology, Engineering, and Mathematics disciplines by integrating mathematics and computer science through operations research. In a previous paper, we reported on the design and implementation of the first unit, started in Spring 2021 at the scientific high school IIS Antonietti in Iseo (Brescia, Italy), in a Grade-10 class. Here, we focus on the second unit, carried out in Winter/Spring 2022 with the same students, now in a Grade-11 class. In particular, we describe objectives, prerequisites, topics and methods, the organization of the lectures, digital technologies used, and a challenging final project. Moreover, we analyze the feedback from students and teachers involved in the experimentation. Funding: G. Colajanni and E. Taranto were partially supported by the research projects Programma Ricerca di Ateneo UNICT 2020-22 linea 2, EEEP&DLaD, and OMNIA, respectively, of the University of Catania. The research of G. Colajanni was also partially supported by the Italian Ministry of University and Research and the European Union for the PON project on Research and Innovation 2014–2020 [Grant D.M. 1062/2021]. A. Raffaele was partially supported by the Gruppo Nazionale per il Calcolo Scientifico. These supports are gratefully acknowledged. Supplemental Material: The online appendix is available at https://doi.org/10.1287/ited.2023.0001 .
Dynamic Market Timing in Mutual Funds
Authors: Busse Jeffrey A. , Ding Jing , Jiang Lei , Wu Ke 
Published: August 2023

We use the dynamic conditional correlation (DCC) model to estimate daily frequency mutual fund betas. Compared with traditional estimates, daily betas better capture changes in fund risk stemming from daily fund trading activity. Based on these beta estimates and a two-stage estimation procedure, we find significant evidence of market timing ability among actively managed U.S. equity funds that is not apparent via standard approaches. Unlike traditional measures, our timing estimates correlate positively with fund performance. Market timing is especially evident during down markets, with successful timers exhibiting low downside risk. Timing ability persists across time and attracts investor flows. This paper was accepted by David Sraer, finance. Funding: This work was supported by the National Natural Science Foundation of China [Grants 72173127 and 72121001] and by the Institute for Industrial Innovation and Finance at Tsinghua University. Supplemental Material: The data files and online appendix are available at https://doi.org/10.1287/mnsc.2023.4857 .
A Linear-Parameter-Varying Formulation for Model Predictive Perimeter Control in Multi-Region MFD Urban Networks
Authors: Kouvelas Anastasios , Saeedmanesh Mohammadreza , Geroliminis Nikolas 
Published: August 2023

An alternative approach for real-time network-wide traffic control in cities that has recently gained attention is perimeter flow control. Many studies have shown that this method is more efficient than state-of-the-art adaptive signal control strategies for heterogeneously congested urban networks. The basic concept of such an approach is to partition heterogeneous cities into a small number of homogeneous regions (zones) and apply perimeter control to the interregional flows along the boundaries between regions. The transferring flows are controlled at the traffic intersections located at the borders between regions so as to distribute the congestion in an optimal way and minimize the total delay of the system. The focus of current work is the mathematical formulation of the original nonlinear problem in a linear parameter-varying (LPV) form so that optimal control can be applied in a (rolling horizon) model predictive concept. This work presents the mathematical analysis of the optimal control problem as well as the approximations and simplifications that are assumed in order to derive the formulation of a linear optimization problem. Numerical simulation results for the case of a macroscopic environment (plant) are presented in order to demonstrate the efficiency of the proposed approach. Results for the closed-loop model predictive control scheme are presented for the nonlinear case, which is used as “benchmark,” as well as the linear case. Furthermore, the developed scheme is applied to a large-scale microsimulation of a European city with more than 500 signalized intersections in order to better investigate its applicability to real-life conditions. The simulation experiments demonstrate the effectiveness of the scheme compared with fixed-time control because all of the performance indicators are significantly improved. Funding: This work was supported by Dit4Tram “Distributed Intelligence & Technology for Traffic & Mobility Management” project from the European Union’s Horizon 2020 research and innovation programme under [Grant agreement 953783].
Photonic crystal concentric dual-microring resonator for refractive index sensing
Authors: Shi Bingyao , Chen Xiao , Cai Yuanyuan , Kang Qi , Wang Yiquan 
Published: August 2023

A high-performance photonic crystal (PhC) concentric dual-microring resonator (PhCCDMRR) for refractive index sensing is proposed in this paper. It confines the energy into PhC air holes to enhance the light–matter interaction, and the increased modal area of the concentric rings improves the sensing sensitivity. The slow-light effect near the photonic bandgap results in a PhC waveguide with a maximum group index of 18.2. In the transmission spectrum, a high extinction ratio of 22 dB is achieved. This sensor obtains a refractive index (RI) sensitivity of 265 nm/RIU (RI unit) using sodium chloride solution as samples, which has promising applications in RI sensing.
Prediction of opioid-related outcomes in a medicaid surgical population: Evidence to guide postoperative opiate therapy and monitoring
Authors: El Hajouji Oualid , Sun Ran S. , Zammit Alban , Humphreys Keith , Asch Steven M. , Carroll Ian , Curtin Catherine M. , Hernandez-Boussard Tina 
Published: August 2023

Background
Treatment of surgical pain is a common reason for opioid prescriptions. Being able to predict which patients are at risk for opioid abuse, dependence, and overdose (opioid-related adverse outcomes [OR-AE]) could help physicians make safer prescription decisions. We aimed to develop a machine-learning algorithm to predict the risk of OR-AE following surgery using Medicaid data with external validation across states.

Methods
Five machine learning models were developed and validated across seven US states (90–10 data split). The model output was the risk of OR-AE 6-months following surgery. The models were evaluated using standard metrics and area under the receiver operating characteristic curve (AUC) was used for model comparison. We assessed calibration for the top performing model and generated bootstrap estimations for standard deviations. Decision curves were generated for the top-performing model and logistic regression.

Results
We evaluated 96,974 surgical patients aged 15 and 64. During the 6-month period following surgery, 10,464 (10.8%) patients had an OR-AE. Outcome rates were significantly higher for patients with depression (17.5%), diabetes (13.1%) or obesity (11.1%). The random forest model achieved the best predictive performance (AUC: 0.877; F1-score: 0.57; recall: 0.69; precision:0.48). An opioid disorder diagnosis prior to surgery was the most important feature for the model, which was well calibrated and had good discrimination.

Conclusions
A machine learning models to predict risk of OR-AE following surgery performed well in external validation. This work could be used to assist pain management following surgery for Medicaid beneficiaries and supports a precision medicine approach to opioid prescribing.
Cultural adaption and validation of the Explanatory Model Interview Catalogue–Community Stigma Scale in the assessment of public stigma related to schistosomiasis in lakeshore areas of Mwanza region, Tanzania
Authors: Klinker Laura , Boeckler Anne , Kreibich Saskia , Mazigo Humphrey 
Published: August 2023

Background
Previous qualitative studies on attitudes towards schistosomiasis demonstrated inconclusive results on the extent of stigma towards schistosomiasis in endemic communities around the world. The Explanatory Model Interview Catalogue–Community Stigma Scale (EMIC-CSS) has been used and validated for the assessment of public stigma across numerous countries in various health conditions. This study tested the performance of the scale in the context of stigma related to schistosomiasis in twelve communities in the three districts of Magu, Nyamagana and Ilemela in Mwanza region, Tanzania.

Methodology/Principal findings
The 15-item-version of the EMC-CSS was first translated to Kiswahili language. The translation was discussed within the research team to retain the meaning of the items and implement cultural adaptations. Validation of the adapted EMIC-CSS scale was conducted following the framework of Herdman and Fox- Rushby. A pilot study with 41 participants from two communities provided the basis for testing the performance of each item and assessing the semantic and operational equivalence of the scales. In addition, eight qualitative focus group discussions (FGDs) were conducted to evaluate the conceptional equivalence of the EMIC-CSS. Finally, the performance of the adjusted scale was tested on 200 participants with a 50:50 male-female ratio from ten communities. The mean score of the EMIC-CSS M = 8.35 (SD = 6.63) shows clear indications for public stigma towards schistosomiasis. The EMIC-CSS demonstrated a good internal consistency with Cronbach’s alpha α = .857 and no floor and ceiling effects.

Conclusion/Significance
The results demonstrate that the EMIC-CSS is a useful instrument in assessing public stigma towards schistosomiasis and allow a clear recommendation of the EMIC-CSS for schistosomiasis in the Tanzanian culture. However, future studies are additionally recommended to address specific aspects and forms of the disease and how they contribute to the development of stigma towards schistosomiasis.
Adipose derived stromal vascular fraction and fat graft for treating the hands of patients with systemic sclerosis. A randomized clinical trial
Authors: Iglesias Martin , Torre-Villalvazo Iván , Butrón-Gandarillas Patricia , Rodríguez-Reyna Tatiana S. , Torre-Anaya Erik A. , Guevara-Cruz Martha , Flores-Cháirez Miguel A. , López-Contreras Diana B. , López-Sánchez Joana Y. , Ruiz-Betanzos Ángel J. , Méndez López Ana L. , Rubio-Gutierrez Carolina , Téllez-Pallares Fernando , Nario-Chaidez Fabian 
Published: August 2023

Background
Systemic Sclerosis in the hand is characteristically evidenced by Raynaud’s phenomenon, fibrosis of the skin, tendons, ligaments, and joints as well as digital ulcers with prolonged healing. Current medical treatment does not always cure these complications. Local adipose-derived stromal vascular fraction administration into the hands has been proposed as an emerging treatment due to its regenerative properties. The objective of this randomized controlled clinical trial was to evaluate the safety and clinical effects of fat micrografts plus adipose derived-stromal vascular fraction administration into the hands of patients with systemic sclerosis.

Methods
This was an open-label, monocentric, randomized controlled study. Twenty patients diagnosed with systemic sclerosis were assigned to the experimental or control group. Fat micrografts plus the adipose derived-stromal vascular fraction were injected into the right hand of experimental group patients. The control group continued to receive only medical treatment. Demographic, serologic data and disease severity were recorded. Digital oximetry, pain, Raynaud phenomenon, digital ulcers number, mobility, thumb opposition, vascular density of the nail bed, skin affection of the hand, serologic antibodies, hand function, and quality of life scores were evaluated in both groups.

Results
The results of the intervention were analyzed with the Wilcoxon rank test, and the differences between the control and experimental groups at 0 days and 168 days were analyzed with the Mann–Whitney U test. Adverse events were not observed in both groups. At the end of the study, statistically significant improvements were observed in pain levels (p<0.05) and number of digital ulcers (p<0.01) in the experimental vs control group.

Conclusion
The injection of adipose derived-stromal vascular fraction plus fat micrografts is a reproducible, and safe technique. Pain and digital ulcers in the hands of patients with systemic sclerosis can be treated with this technique plus conventional medical treatment.
Perineurioma Diagnosed After Endoscopic Treatment of Suspected Gastric Adenocarcinoma of the Fundic Gland
Authors: Yokosuka Ryohsuke , Ikeya Takashi , Yamato Hiroshi , Kanomata Naoki , Fukuda Katsuyuki 
Published: August 2023

ABSTRACT
Perineurioma is a relatively rare tumor with an occasionally difficult differential diagnosis. A 63-year-old woman underwent esophagogastroduodenoscopy, which revealed a 15 mm, slightly faded, flat, and elevated lesion in the gastric body. Biopsy revealed a bundle-like proliferation of spindle-shaped cells; however, the diagnosis was unconfirmed. Endoscopic submucosal dissection was performed for diagnosis and treatment. Histopathological examination of the lesion revealed cell proliferation with short spindle-shaped and oval nuclei and little atypia in the lamina propria. Immunohistochemical examination indicated a perineurioma. Thus, when spindle-shaped cells are found on biopsy, it is necessary to consider the possibility of perineurioma.
Gastrointestinal Stromal Tumor Presenting as Food Impaction and Pseudo-Achalasia
Authors: Obri Mark S. , Nimri Faisal , Kamran Wasih , Nimri Rund , Pompa Robert , Zuchelli Tobias 
Published: August 2023

ABSTRACT
Gastrointestinal stromal tumors (GISTs) are one of the most common mesenchymal tumors of the gastrointestinal tract. Studies report the incidence of GIST to be 14.5 per million, with 18% being diagnosed incidentally. The most common location is the stomach while the esophagus is the rarest, representing only 0.7% of cases. The clinical manifestations of GISTs vary. Most patients present with bleeding and gastric discomfort. Some may present with life-threatening hematemesis or melena. We present a unique case of a GIST presenting as pseudo-achalasia and food impaction.
A comparison of treatment effect sizes in matched phase 2 and phase 3 trials of advanced therapeutics in inflammatory bowel disease: systematic review and meta-analysis
Authors: Hanzel Jurij , Solitano Virginia , Zou Lily , Zou GY , Peyrin-Biroulet Laurent , Danese Silvio , Singh Siddharth , Ma Christopher , Wils Pauline , Jairath Vipul 
Published: August 2023

Abstract

Introduction:
Phase 2 trials are fundamental to the rational and efficient design of phase 3 trials. We aimed to determine the relationship of treatment effect size estimates from phase 2 and phase 3 clinical trials on advanced therapeutics in inflammatory bowel disease.

Methods:
MEDLINE, EMBASE, CENTRAL, and the Cochrane library were searched from inception to December 19, 2022, to identify paired phase 2 and 3 placebo-controlled induction studies of advanced therapeutics for Crohn’s disease (CD) and ulcerative colitis (UC). Treatment effect sizes were expressed as a risk ratio (RR) between the active arm and placebo arm. For the same therapeutics, RR from phase 2 trials were divided by the RR from phase 3 trial to quantify the relationship of effect sizes between phases.

Results:
Twenty-two studies (9 phase 2 trials, 13 phase 3 trials) were included for CD and 30 studies (12 phase 2 trials, 18 phase 3 trials) for UC. In UC (pooled RR 0.72; 95% confidence interval [CI]: 0.58–0.86; RR <1 indicate smaller treatment effect sizes in phase 2 trials), but not CD (pooled RR 1.01; 95% CI: 0.84–1.18), phase 2 trials systematically underestimated treatment effect sizes for the primary endpoint compared to phase 3 trials. The underestimation was observed for clinical, but not endoscopic endpoints in UC.

Conclusions:
Treatment effect sizes for the primary and clinical endpoints were similar across clinical trial phases in CD, but not UC, where only endoscopic endpoints were comparable. This will help inform clinical development plans and future trial design.