bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intervention for Sleep and Pain in Youth (ISPY-RCT): protocol for a two-phase randomized controlled trial of sequenced cognitive-behavioral therapy for insomnia and pain management in adolescents with migraine
Authors: Law Emily F. , Ritterband Lee , Zhou Chuan , Palermo Tonya M. 
Published: January 2023

Abstract
Background
Migraine is a major pediatric health problem impacting 10–12% of youth. About 1 in 3 youth with migraine are diagnosed with insomnia. Sleep and migraine share a cyclical relationship, and data indicate that insomnia symptoms increase migraine severity. CBT for insomnia (CBT-I) has demonstrated efficacy for improving insomnia in adults with migraine and other pain conditions; however, effects in youth have not been evaluated. Moreover, in adults, there is some indication that CBT-I may lead to changes in pain after there are sustained improvements in sleep, but this has never been empirically tested. Cognitive-behavioral therapy for pain management (CBT-Pain) is an established treatment approach for youth with migraine, leading to reductions in headache frequency and disability. In the proposed study, we will address these gaps in knowledge by using an innovative two-phase trial design to (1) test the efficacy of Internet-delivered CBT-I intervention for youth with migraine and comorbid insomnia compared to Internet-delivered sleep education for modifying sleep and (2) investigate how changes in sleep may modify the response to Internet-delivered CBT-Pain intervention.

Methods
We will study a cohort of 180 adolescents, ages 11–17 years, with migraine (with or without aura, chronic migraine) and comorbid insomnia. In phase 1, youth will be randomly assigned to receive Internet-delivered CBT-I intervention or Internet sleep education control. In phase 2, all youth will receive Internet-delivered CBT-Pain intervention. Assessments will occur at baseline, immediately after phase 1 intervention, immediately after phase 2 intervention, and 6 months post-intervention. We will use a comprehensive multidimensional assessment of sleep and headache including self-report questionnaires, ambulatory actigraphy monitoring, and 14-day daily diaries.

Discussion
Given the high prevalence of insomnia in adolescents with migraine, an extension of CBT-I intervention to this population will address an important gap in clinical practice and in conceptual understanding of the relationship between sleep and migraine. By testing a separate CBT-I intervention, we will be able to apply this treatment in the future to other pediatric populations (e.g., cancer, arthritis) who commonly experience comorbid insomnia.

Trial registration
ClinicalTrials.gov NCT04936321. Registered on June 23, 2021.
An AI-based patient-specific clinical decision support system for OA patients choosing surgery or not: study protocol for a single-centre, parallel-group, non-inferiority randomised controlled trial
Authors: Kastrup Nanna , Bjerregaard Helene H. , Laursen Mogens , Valentin Jan B. , Johnsen Søren P. , Jensen Cathrine E. 
Published: January 2023

Abstract
Background
Osteoarthritis (OA) affects 20% of the adult Danish population, and the financial burden to society amounts to DKK 4.6 billion annually. Research suggests that up to 75% of surgical patients could have postponed an operation and managed with physical training. ERVIN.2 is an artificial intelligence (AI)-based clinical support system that addresses this problem by enhancing patient involvement in decisions concerning surgical knee and hip replacement. However, the clinical outcomes and cost-effectiveness of using such a system are scantily documented.

Objective
The primary objective is to investigate whether the usual care is non-inferior to ERVIN.2 supported care. The second objective is to determine if ERVIN.2 enhances clinical decision support and whether ERVIN.2 supported care is cost-effective.

Methods
This study used a single-centre, non-inferiority, randomised controlled in a two-arm parallel-group design. The study will be reported in compliance with CONSORT guidelines. The control group receives the usual care. As an add-on, the intervention group have access to baseline scores and predicted Oxford hip/knee scores and HRQoL for both the surgical and the non-surgical trajectory. A cost-utility analysis will be conducted alongside the trial using a hospital perspective, a 1-year time horizon and effects estimated using EQ-5D-3L. Results will be presented as cost per QALY gain.

Discussion
This study will bring knowledge about whether ERVIN.2 enhances clinical decision support, clinical effects, and cost-effectiveness of the AI system. The study design will not allow for the blinding of surgeons.

Trial registration
ClinicalTrials.gov NCT04332055. Registered on 2 April 2020.
UAE university students’ experiences of virtual classroom learning during Covid 19
Authors: Islam Monjurul , Mazlan Nurul Hijja , Al Murshidi Ghadah , Hoque Mohammed Shamsul , Karthiga S. V. , Reza Mohoshin 
Published: January 2023

AbstractVirtual Classroom (VC) learning approaches have recently drawn considerable attention because they have the potential to encourage student engagement to ensure active and collaborative learning. Although research on online learning has gained visibility in recent times, VC learning has not received notable attention, especially in Gulf countries like the United Arab Emirates (UAE). The study examines students’ perception and experience of VC in a university in UAE during the COVID-19 pandemic in terms of its necessity and helpfulness. This research also examines the situational pressure of VC and aims to explain the reasons for its desirability and inevitability. As a current learning space beyond the conventional face-to-face classroom learning, VC learning is available in various forms and quality depending on creating opportunities for the learners’ participation. However, there are issues with VC practice too. Our analysis of survey data (N = 334) leads to portraying autonomous learning freedom in different learning environments in VC. We argue that students may resort to VC not because of its proven effectiveness but because of the necessity to continue addressing their learning needs. This study contributes to the general understanding of the online and traditional in-person classroom learning and virtual learning resources in the teaching of English as a globally desired language.
The spear of capital and the shield of labor: Chinese model of emotional labor in domestic work
Authors: Liang Meng , Li Kunxi , Feng Xue 
Published: January 2023

AbstractThe theory of emotional labor, originating from the institutional background of the Western social and cultural system, is committed to criticizing the emotional management and emotional alienation of service workers under capital discipline. This paper introduces the construction of social relations with acquaintances typical in Chinese rural society into the analytical framework. It presents a Chinese model of automatized emotional labor, different from the model of commercialized emotional labor, by analyzing the emotional model acquisition in the professional development process of domestic workers and the mechanisms of formation, maintenance, and reproduction of the model in the labor process. In the new model, consumers (customers) and workers are equal and mutually beneficial interactive subjects, and emotional labor is no longer the spear of capital but instead becomes a shield for workers against challenges in the labor process. Therefore, this paper puts forward a theoretical reflection on consumers–workers under the model of commercialized emotional labor.
Explosive eye injuries: characteristics, traumatic mechanisms, and prognostic factors for poor visual outcomes
Authors: Zhang Ying , Kang Xin , Wu Qiong , Zheng Zhong , Ying Jun , Zhang Mao-Nian 
Published: January 2023

Abstract
Background
Explosions can produce blast waves, high-speed medium, thermal radiation, and chemical spatter, leading to complex and compound eye injuries. However, few studies have comprehensively investigated the clinical features of different eye injury types or possible risk factors for poor prognosis.

Methods
We retrospectively reviewed all consecutive records of explosive eye injuries (1449 eyes in 1115 inpatients) in 14 tertiary referral hospitals in China over 12 years (between January 2008 and December 2019). Data on demographics, eye injury types, ocular findings, treatments, and factors affecting visual prognosis were extracted from a standardized database of eye injuries and statistically analyzed.

Results
Mechanical ocular trauma accounted for 94.00% of explosion-related eye injuries, among which intraocular foreign bodies (IOFBs) resulted in 55.17% of open globe injuries (OGIs) and contusion caused 60.22% of close globe injuries (CGIs). Proliferative vitreous retinopathy (PVR) was more common in perforating (47.06%) and IOFB (26.84%) than in penetrating (8.79%) injuries, and more common with laceration (24.25%) than rupture (9.22%, P < 0.01). However, no difference was observed between rupture and contusion. Ultimately, 9.59% of eyes were removed and the final vision was ≤ 4/200 in 45.82% of patients. Poor presenting vision [odds ratio (OR) = 5.789], full-thickness laceration of the eyeball ≥ 5 mm (OR = 3.665), vitreous hemorrhage (OR = 3.474), IOFB (OR = 3.510), non-mechanical eye injury (NMEI, OR = 2.622, P < 0.001), rupture (OR = 2.362), traumatic optic neuropathy (OR = 2.102), retinal detachment (RD, OR = 2.033), endophthalmitis (OR = 3.281, P < 0.01), contusion (OR = 1.679), ciliary body detachment (OR = 6.592), zone III OGI (OR = 1.940), and PVR (OR = 1.615, P < 0.05) were significant negative predictors for poor visual outcomes.

Conclusions
Explosion ocular trauma has complex mechanisms, with multiple eyes involved and poor prognosis. In lethal level I explosion injuries, eyeball rupture is a serious condition, whereas contusion is more likely to improve. In level II injuries, IOFBs are more harmful than penetrating injuries, and level IV represents burn-related eye injuries. PVR is more associated with penetrating mechanisms than with OGI. Identifying the risk predictors for visual prognosis can guide clinicians in the evaluation and treatment of ocular blast injuries.
Survey of feature selection and extraction techniques for stock market prediction
Authors: Htun Htet Htet , Biehl Michael , Petkov Nicolai 
Published: January 2023

AbstractIn stock market forecasting, the identification of critical features that affect the performance of machine learning (ML) models is crucial to achieve accurate stock price predictions. Several review papers in the literature have focused on various ML, statistical, and deep learning-based methods used in stock market forecasting. However, no survey study has explored feature selection and extraction techniques for stock market forecasting. This survey presents a detailed analysis of 32 research works that use a combination of feature study and ML approaches in various stock market applications. We conduct a systematic search for articles in the Scopus and Web of Science databases for the years 2011–2022. We review a variety of feature selection and feature extraction approaches that have been successfully applied in the stock market analyses presented in the articles. We also describe the combination of feature analysis techniques and ML methods and evaluate their performance. Moreover, we present other survey articles, stock market input and output data, and analyses based on various factors. We find that correlation criteria, random forest, principal component analysis, and autoencoder are the most widely used feature selection and extraction techniques with the best prediction accuracy for various stock market applications.
Optimal layout model of feeder automation equipment oriented to the type of fault detection and local action
Authors: Chen Ruizhi , Li Xihong , Chen Yanbo 
Published: January 2023

AbstractIn feeder automation transformation there are difficulties in equipment and location selection. To help with this, an optimal layout model of feeder automation equipment oriented to the type of fault detection and local action is proposed. It analyzes the coordination relationship of the three most common types of automation equipment, i.e., fault indicator, over-current trip switch and non-voltage trip switch in the fault handling process, and the explicit expressions of power outage time caused by a fault on different layouts of the above three types of equipment are given. Given constraints of power supply reliability and the goal of minimizing the sum of equipment-related capital investment and power interruption cost, a mixed-integer quadratic programming model for optimal layout is established, in which the functional failure probability of equipment is linearized using the $$3\delta$$

3
δ

principle in statistics. Finally, the basic characteristics of the proposed model are illustrated by different scenarios on the IEEE RBTS-BUS6 system. It can not only take into account fault location and fault isolation to enhance user power consumption perception, but also can guide precise investment to improve the operational quality and efficiency of a power company.
Performance of LiDAR-SLAM-based PNT with initial poses based on NDT scan matching algorithm
Authors: Chiang Kaiwei , Chiu Yuting , Srinara Surachet , Tsai Menglun 
Published: January 2023

AbstractTo achieve higher automation level of vehicles defined by the Society of Automotive Engineers, safety is a key requirement affecting navigation accuracy. We apply Light Detection and Ranging (LiDAR) as a main auxiliary sensor and propose LiDAR-based Simultaneously Localization and Mapping (SLAM) approach for Positioning, Navigation, and Timing. Furthermore, point cloud registration is handled with 3D Normal Distribution Transform (NDT) method. The initial guess of the LiDAR pose for LiDAR-based SLAM comes from two sources: one is the differential Global Navigation Satellite System (GNSS) solution; the other is Inertial Navigation System (INS) and GNSS integrated solution, generated with Extended Kalman Filter and motion constraints added, including Zero Velocity Update and Non-Holonomic Constraint. The experiment compares two initial guesses for scan matching in terms navigation accuracy. To emphasize the importance of a multi-sensor scheme in contrast to the conventional navigation method using the stand-alone system, the tests are conducted in both open sky area and GNSS signal block area, the latter might cause Multipath and Non-Line-Of-Sight effects. To enhance the navigation accuracy, the Fault Detection and Exclusion (FDE) mechanism is applied to correct the navigation outcome. The results show that the application of NDT and FDE for INS/GNSS integrated system can not only reach where-in-lane level navigation accuracy (0.5 m), but also enable constructing the dynamic map.
Using the Framework for Reporting Adaptations and Modifications-Expanded (FRAME) to study adaptations in lung cancer screening delivery in the Veterans Health Administration: a cohort study
Authors: Strayer Thomas E. , Spalluto Lucy B. , Burns Abby , Lindsell Christopher J. , Henschke Claudia I. , Yankelevitz David F. , Moghanaki Drew , Dittus Robert S. , Vogus Timothy J. , Audet Carolyn , Kripalani Sunil , Roumie Christianne L. , Lewis Jennifer A. 
Published: January 2023

Abstract
Background
Lung cancer screening is a complex clinical process that includes identification of eligible individuals, shared decision-making, tobacco cessation, and management of screening results. Adaptations to the delivery process for lung cancer screening in situ are understudied and underreported, with the potential loss of important considerations for improved implementation. The Framework for Reporting Adaptations and Modifications-Expanded (FRAME) allows for a systematic enumeration of adaptations to implementation of evidence-based practices. We applied FRAME to study adaptations in lung cancer screening delivery processes implemented by lung cancer screening programs in a Veterans Health Administration (VHA) Enterprise-Wide Initiative.

Methods
We prospectively conducted semi-structured interviews at baseline and 1-year intervals with lung cancer screening program navigators at 10 Veterans Affairs Medical Centers (VAMCs) between 2019 and 2021. Using this data, we developed baseline (1st) process maps for each program. In subsequent years (year 1 and year 2), each program navigator reviewed the process maps. Adaptations in screening processes were identified, documented, and mapped to FRAME categories.

Results
We conducted a total of 16 interviews across 10 VHA lung cancer screening programs (n=6 in year 1, n=10 in year 2) to collect adaptations. In year 1 (2020), six programs were operational and eligible. Of these, three reported adaptations to their screening process that were planned or in response to COVID-19. In year 2 (2021), all 10 programs were operational and eligible. Programs reported 14 adaptations in year 2. These adaptations were planned and unplanned and often triggered by increased workload; 57% of year 2 adaptations were related to the identification and eligibility of Veterans and 43% were related to follow-up with Veterans for screening results. Throughout the 2 years, adaptations related to data management and patient tracking occurred in 60% of programs to improve the data collection and tracking of Veterans in the screening process.

Conclusions
Using FRAME, we found that adaptations occurred primarily in the areas of patient identification and communication of results due to increased workload. These findings highlight navigator time and resource considerations for sustainability and scalability of existing and future lung cancer screening programs as well as potential areas for future intervention.
K-means clustering of electricity consumers using time-domain features from smart meter data
Authors: Okereke George Emeka , Bali Mohamed Chaker , Okwueze Chisom Nneoma , Ukekwe Emmanuel Chukwudi , Echezona Stephenson Chukwukanedu , Ugwu Celestine Ikechukwu 
Published: January 2023

AbstractSmart meter stores electricity consumption data of every consumer in the smart grid system. A better understanding of consumption behaviors and an effective consumer classification based on the similarity of these behaviors can be helpful for flexible demand management and effective energy control. In this paper, we propose an implementation of unsupervised classification for categorizing consumers based on the similarity of their typical electricity consumption behaviors. The main goal is to group similar observations together in order to easily look at the dataset. Hence, we go through pattern identification in households’ consumption with the K-means clustering algorithm. K-means clusters consumption behaviors based on extracted temporal features into k groups. The result from the algorithm helps power suppliers to understand power consumers’ better and helps them make better informed decision based on the information available to them. The dataset used in this paper is a real data from the London Data Store energy consumption readings for a sample of 5567 London Households that took part in the UK Power Networks Led Low Carbon London project between November 2011 and February 2014 available at: https://data.london.gov.uk/dataset/smartmeter-energy-use-data-in-london-households.
Wavelength Modulation of Defect Photoluminescence from Locally Functionalized Single-Walled Carbon Nanotubes Using Heterocycle-Substituted Aryldiazonium Salts
Authors: Yu Boda , Fujigaya Tsuyohiko , Shiraki Tomohiro 
Published: January 2023

Abstract
Local chemical functionalization of single-walled carbon nanotubes has been developed for defect introduction to produce locally functionalized SWCNTs (lf-SWCNTs). Compared with the original PL of unmodified SWCNTs, lf-SWCNTs exhibit defect photoluminescence (PL) in near-infrared (NIR) regions with higher quantum yields and red-shifted wavelengths. Recently, using a few chemical functionalization approaches, considerably red-shifted defect PL (E11*− PL, &gt;1250 nm) of lf-SWCNTs was observed in contrast to typical defect PL (E11* PL, ∼1150 nm), although the E11*− PL wavelength modulation approaches have yet been unexplored. In this study, we synthesized aryldiazonium salts containing heterocycle substituents at the ortho position for the lf-SWCNT synthesis. The resultant lf-SWCNTs selectively emitted E11*− PL and its wavelength variation was observed by modifying the heterocycle structures. Additionally, wavelength switching of E11*− PL was observed through pH variations, in which the protonation/deprotonation of the ortho-pyridine in the lf-SWCNTs induced large spectral shifts in E11*− PL compared to the observed shifts in earlier para-substituent design systems employing E11* PL. The developed E11*− PL wavelength modulation method based on the functionalized molecule designs for the lf-SWCNT synthesis would provide novel NIR PL nanomaterials relevant to advanced bio/medical and telecom application fields.
Study of hepatic toxicity in small liver tumors after photon or proton therapy based on factors predicting the benefits of proton
Authors: Uchinami Yusuke , Katoh Norio , Abo Daisuke , Morita Ryo , Taguchi Hiroshi , Fujita Yoshihiro , Kanehira Takahiro , Suzuki Ryusuke , Miyamoto Naoki , Takao Seishin , Matsuura Taeko , Sho Takuya , Ogawa Koji , Orimo Tatsuya , Kakisaka Tatsuhiko , Kobashi Keiji , Aoyama Hidefumi 
Published: January 2023

Objectives:
In a previous study of hepatic toxicity, the following three factors were identified to predict the benefits of proton beam therapy (PBT) for hepatocellular carcinomas (HCCs) with a maximum diameter of ≤5 cm and Child-pugh grade A (CP-A): number of tumors (1 vs ≥2), the location of tumors (hepatic hilum or others), and the sum of the diameters of lesions. The aim of this study is to analyze the association between these three factors and hepatic toxicity.

Methods:
We retrospectively reviewed patients of CP-A treated with PBT or photon stereotactic body radiotherapy (X-ray radiotherapy, XRT) for HCC ≤5 cm. For normal liver dose, the V5, V10, V20 (volumes receiving 5, 10, and 20 Gy at least), and the mean dose was evaluated. The albumin-bilirubin (ALBI) and CP score changes from the baseline were evaluated at 3 and 6 months after treatment.

Results:
In 89 patients (XRT: 48, PBT: 41), those with two or three (2–3) predictive factors were higher normal liver doses than with zero or one (0–1) factor. In the PBT group, the ALBI score worsened more in patients with 2–3 factors than those with 0–1 factor, at 3 months (median: 0.26 vs 0.02, p = 0.032) and at 6 months (median: 0.35 vs 0.10, p = 0.009). The ALBI score change in the XRT group and CP score change in either modality were not significantly different in the number of predictive factors.

Conclusion:
The predictive factor numbers predicted the ALBI score change in PBT but not in XRT.

Advances in knowledge:
This study suggest that the number of predictive factors previously identified (0–1 vs 2–3) were significantly associated with dosimetric parameters of the normal liver in both modalities. In the proton group, the number of predictive factors was associated with a worsening ALBI score at 3 and 6 months, but these associations were not found in the photon SBRT group.