bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does interactive ultrasound intervention relieve minor depressive symptoms and increase maternal attachment in pregnancy? A protocol for a randomized controlled trial
Authors: Pulliainen Henrika , Sari-Ahlqvist-Björkroth  , Ekholm Eeva 
Published: April 2022

Abstract
Background
Perinatal depression, especially minor depression, is common during pregnancy and is likely to continue into the postpartum period. It may impair the mother’s health, the infant’s neurodevelopment, and the mother-infant relationship. Screening for perinatal depression is recommended; however, there is no consensus on how to treat depressive symptoms while simultaneously supporting the mother-infant relationship. Ultrasound examination has been shown to improve maternal-fetal attachment among pregnant women. Our aim is to develop a four-dimensional (4D) based interactive ultrasound intervention and test whether it relieves minor depressive symptoms and improves maternal-fetal attachment. Previous studies show that supporting the mother-infant relationship aids in relieving maternal depression. Until now, few studies have combined pregnancy ultrasound and psychological support.

Methods
A controlled randomized setting was designed to assess whether interactive 4D-ultrasound intervention would decrease maternal depressive symptoms, strengthen maternal-fetal attachment, and mother-infant relationship. An obstetrician and a psychologist specialized in infant mental health conduct the interventions. The focus is to jointly observe the behavior of the fetus according to the mothers’ wishes. Altogether, 100 women scoring 10–15 on Edinburgh Pre-/Postnatal Depression Scale (EPDS) and with singleton pregnancy are recruited using a web-based questionnaire. Half of the participants will be randomized to the intervention group and will undergo three interactive ultrasound examinations. The primary outcomes are a decrease in perinatal depressive symptoms assessed with EPDS and an increase in maternal attachment. The maternal attachment was assessed using the Working Model of the Child Interview (WMCI), the Maternal Antenatal Attachment Scale (MAAS), and the Maternal Postnatal Attachment Scale (MPAS). Secondly, we hypothesize that if the intervention decreases prenatal depressive symptoms and improves prenatal attachment, the decrease in depressive symptoms and improvement in mother-infant relationship is seen postnatally.

Discussion
Ultrasound is widely used during pregnancy. The interactive approach is unique and may be feasible as part of routine screenings and maternity clinic visits. Intervention that decreases depression and simultaneously supports maternal-fetal attachment would be a valuable addition to the treatment of minor depression among pregnant women.

Trial registration
ClinicalTrials.gov NCT03424642. Registered on January 5 2018.
Assessing the effectiveness of a LGBT cultural competency training for oncologists: study protocol for a randomized pragmatic trial
Authors: Seay Julia , Hernandez Eryk N. , Pérez-Morales Jaileene , Quinn Gwendolyn P. , Schabath Matthew B. 
Published: April 2022

Abstract
Background
LGBT patients may have unique psychosocial cancer care needs, and healthcare providers should have knowledge and understanding of these unique needs to effectively address disparities through the delivery of personalized healthcare. As such, our group developed and piloted a web-based LGBT cultural competency training designed specifically for oncologists called the Curriculum for Oncologists on LGBT populations to Optimize Relevance and Skills (COLORS). We designed a randomized pragmatic trial for oncologists to compare the effectiveness of the COLORS training versus a general online LGBT cultural competency training in improving LGBT-related knowledge, attitudes, and clinical practices.

Methods/design
Study procedures include an 8-step approach for recruitment, randomization, retention, and completion of the interventions. Oncologists of any subspecialty who are currently practicing physicians will be identified from the American Medical Association Masterfile. Approximately 5000 oncologists will be sent a FedEx envelope with an invitation letter and study timeline. Electronic consent is obtained using a secure REDCap (Research Electronic Data Capture) portal hosted at the Moffitt Cancer Center (Tampa, FL) where the oncologists will complete the eligibility questionnaire, pre-training assessments, and then will be randomized to complete the COLORS training or an online general healthcare training offered by the National LGBT Health Education Center. Effectiveness of both trainings will be assessed utilizing self-reported measures of LGBT-related knowledge, attitudes, and affirming clinical practices. The measures will be collected before and directly after training completion, as well as 3-month post-training completion. The primary outcomes are changes in knowledge, attitudes, and practice behaviors regarding LGBT cancer patients from pre-test to post-test training in the COLORS training vs. the comparison training.

Discussion
The overarching premise of this trial is to assess the effectiveness of the COLORS cultural competency training program. If successful, among oncologists who completed the COLORS training should yield statistically significantly improvements in knowledge, attitudes, and affirming practice.
Mitochondrial supplementation of Sus scrofa metaphase II oocytes alters DNA methylation and gene expression profiles of blastocysts
Authors: Okada Takashi , McIlfatrick Stephen , Hin Nhi , Aryamanesh Nader , Breen James , St. John Justin C. 
Published: April 2022

Abstract
Background
Mitochondrial DNA (mtDNA) copy number in oocytes correlates with oocyte quality and fertilisation outcome. The introduction of additional copies of mtDNA through mitochondrial supplementation of mtDNA-deficient Sus scrofa oocytes resulted in: (1) improved rates of fertilisation; (2) increased mtDNA copy number in the 2-cell stage embryo; and (3) improved development of the embryo to the blastocyst stage. Furthermore, a subset of genes showed changes in gene expression. However, it is still unknown if mitochondrial supplementation alters global and local DNA methylation patterns during early development.

Results
We generated a series of embryos in a model animal, Sus scrofa, by intracytoplasmic sperm injection (ICSI) and mitochondrial supplementation in combination with ICSI (mICSI). The DNA methylation status of ICSI- and mICSI-derived blastocysts was analysed by whole genome bisulfite sequencing. At a global level, the additional copies of mtDNA did not affect nuclear DNA methylation profiles of blastocysts, though over 2000 local genomic regions exhibited differential levels of DNA methylation. In terms of the imprinted genes, DNA methylation patterns were conserved in putative imprint control regions; and the gene expression profile of these genes and genes involved in embryonic genome activation were not affected by mitochondrial supplementation. However, 52 genes showed significant differences in expression as demonstrated by RNAseq analysis. The affected gene networks involved haematological system development and function, tissue morphology and cell cycle. Furthermore, seven mtDNA-encoded t-RNAs were downregulated in mICSI-derived blastocysts suggesting that extra copies of mtDNA affected tRNA processing and/or turnover, hence protein synthesis in blastocysts. We also showed a potential association between differentially methylated regions and changes in expression for 55 genes due to mitochondrial supplementation.

Conclusions
The addition of just an extra ~ 800 copies of mtDNA into oocytes can have a significant impact on both gene expression and DNA methylation profiles in Sus scrofa blastocysts by altering the epigenetic programming established during oogenesis. Some of these changes may affect specific tissue-types later in life. Consequently, it is important to determine the longitudinal effect of these molecular changes on growth and development before considering human clinical practice.
Impact of serum interleukin-22 as a biomarker for the differential use of molecular targeted drugs in psoriatic arthritis: a retrospective study
Authors: Miyagawa Ippei , Nakayamada Shingo , Ueno Masanobu , Miyazaki Yusuke , Iwata Shigeru , Kubo Satoshi , Sonomoto Koshiro , Anan Junpei , Ohkubo Naoaki , Inoue Yoshino , Tanaka Yoshiya 
Published: April 2022

Abstract
Background
We explored whether serum cytokines could be used as biomarkers for optimal use of tumor necrosis factor inhibitors (TNF-i) and interleukin (IL)-17 inhibitors (IL-17-i) in patients with psoriatic arthritis (PsA).

Methods
In cohort 1 (47 patients treated with IL-17-i [n=23] or TNF-i [n=24] for ≥1 year), we identified serum cytokines that predicted the achievement of Disease Activity in Psoriatic Arthritis-remission (DAPSA-REM), Psoriasis Area and Severity Index (PASI) 90, and Minimal Disease Activity after 1 year of TNF-i or IL-17-i therapy. Subsequently, we developed treatment strategies based on the identified cytokines; initiation of IL-17-i therapy in patients with low IL-22 concentrations (IL-22 <0.61376 pg/ml) and TNF-i therapy in patients with high IL-22 concentrations (0.61376< IL-22 pg/ml). In cohort 2 (34 patients), treatment responses were compared between the strategic treatment group (n=17), which was treated based on the treatment strategies, and the mismatched treatment group (n=17) to verify the validity of the treatment strategies developed using serum cytokines as biomarkers.

Results
In cohort 1, serum IL-22 concentration was identified as a predictor of DAPSA-remission after 1 year of IL-17-i therapy. Regarding treatment strategies, we selected TNF-i for patients with high IL-22 concentrations and IL-17-i for those with low IL-22 concentrations. There were no significant differences in the baseline characteristics between the strategic and mismatched treatment groups. Regarding treatment effects, activity significantly improved at 1 year in both groups. Upon comparison of the treatment effects, the rate of achieving DAPSA-REM and Minimal Disease Activity at month 12 was significantly higher in the strategic treatment group.

Conclusions
The results of this pilot study suggest that IL-22 may be a biomarker of treatment response to TNF-i and IL-17-i in patients with PsA. Further large-scale studies in independent, prospectively collected datasets are required to verify that IL-22 is indeed a biomarker of treatment response in these patients.
Wisconsin syndrome with brain volume laterality: a case report and review of the literature
Authors: Okano Satomi , Makita Yoshio , Kimura Kayano , Fukuda Ikue , Miyamoto Akie , Tanaka Hajime 
Published: April 2022

Abstract
Background
Wisconsin syndrome is a congenital anomaly caused by a 3q interstitial deletion. It is associated with characteristic facies and developmental delays. Only 33 cases with a deletion estimated to be in the associated region 3q25 have been reported.

Case report
We present the case of a 5-year-old Japanese girl with a 3q24q25.2 deletion. Her facial features corresponded to the Wisconsin syndrome phenotype, and she exhibited brain volume laterality, which has not been reported previously.

Conclusion
The clinical features of our case may contribute to narrowing down the list of candidate genes of Wisconsin syndrome.
Optimization of ACF-DSR-based joint Doppler shift and SNR estimator for Internet of Vehicle system
Authors: Wen Jiangang , Yan Lei , Feng Xiaofei , Ni Zhengwei , Hua Jingyu , Xu Zhijiang 
Published: April 2022

AbstractAccurate vehicle speed estimation is required for intelligent internet of vehicles, and it can be realized by Doppler shift estimation in mobile communication. In this paper, the ACF-DSR (autocorrelation function-double sampling rate) method for joint Doppler shift and SNR estimation is further investigated. Based on the analysis of ACF, an improved algorithm model taking account of estimation deviation is formulated. Then, the effects of sampling intervals in DSR are figured out by mean square error analysis of estimation, and two better choices are obtained. By Monte Carlo simulations, it is demonstrated that the optimized ACF-DSR method with better choice of sampling intervals can achieve better estimation and outperform previous methods.
Paralinguistic singing attribute recognition using supervised machine learning for describing the classical tenor solo singing voice in vocal pedagogy
Authors: Xu Yanze , Wang Weiqing , Cui Huahua , Xu Mingyang , Li Ming 
Published: April 2022

AbstractHumans can recognize someone’s identity through their voice and describe the timbral phenomena of voices. Likewise, the singing voice also has timbral phenomena. In vocal pedagogy, vocal teachers listen and then describe the timbral phenomena of their student’s singing voice. In this study, in order to enable machines to describe the singing voice from the vocal pedagogy point of view, we perform a task called paralinguistic singing attribute recognition. To achieve this goal, we first construct and publish an open source dataset named Singing Voice Quality and Technique Database (SVQTD) for supervised learning. All the audio clips in SVQTD are downloaded from YouTube and processed by music source separation and silence detection. For annotation, seven paralinguistic singing attributes commonly used in vocal pedagogy are adopted as the labels. Furthermore, to explore the different supervised machine learning algorithm for classifying each paralinguistic singing attribute, we adopt three main frameworks, namely openSMILE features with support vector machine (SF-SVM), end-to-end deep learning (E2EDL), and deep embedding with support vector machine (DE-SVM). Our methods are based on existing frameworks commonly employed in other paralinguistic speech attribute recognition tasks. In SF-SVM, we separately use the feature set of the INTERSPEECH 2009 Challenge and that of the INTERSPEECH 2016 Challenge as the SVM classifier’s input. In E2EDL, the end-to-end framework separately utilizes the ResNet and transformer encoder as feature extractors. In particular, to handle two-dimensional spectrogram input for a transformer, we adopt a sliced multi-head self-attention (SMSA) mechanism. In the DE-SVM, we use the representation extracted from the E2EDL model as the input of the SVM classifier. Experimental results on SVQTD show no absolute winner between E2EDL and the DE-SVM, which means that the back-end SVM classifier with the representation learned by E2E as input does not necessarily improve the performance. However, the DE-SVM that utilizes the ResNet as the feature extractor achieves the best average UAR, with an average 16% improvement over that of the SF-SVM with INTERSPEECH’s hand-crafted feature set.
A framework for self-supervised federated domain adaptation
Authors: Wang Bin , Li Gang , Wu Chao , Zhang WeiShan , Zhou Jiehan , Wei Ye 
Published: April 2022

AbstractUnsupervised federated domain adaptation uses the knowledge from several distributed unlabelled source domains to complete the learning on the unlabelled target domain. Some of the existing methods have limited effectiveness and involve frequent communication. This paper proposes a framework to solve the distributed multi-source domain adaptation problem, referred as self-supervised federated domain adaptation (SFDA). Specifically, a multi-domain model generalization balance is proposed to aggregate the models from multiple source domains in each round of communication. A weighted strategy based on centroid similarity is also designed for SFDA. SFDA conducts self-supervised training on the target domain to tackle domain shift. Compared with the classical federated adversarial domain adaptation algorithm, SFDA is not only strong in communication cost and privacy protection but also improves in the accuracy of the model.
An image-guided network for depth edge enhancement
Authors: Lee Kuan-Ting , Liu En-Rwei , Yang Jar-Ferr , Hong Li 
Published: April 2022

AbstractWith the rapid development of 3D coding and display technologies, numerous applications are emerging to target human immersive entertainments. To achieve a prime 3D visual experience, high accuracy depth maps play a crucial role. However, depth maps retrieved from most devices still suffer inaccuracies at object boundaries. Therefore, a depth enhancement system is usually needed to correct the error. Recent developments by applying deep learning to deep enhancement have shown their promising improvement. In this paper, we propose a deep depth enhancement network system that effectively corrects the inaccurate depth using color images as a guide. The proposed network contains both depth and image branches, where we combine a new set of features from the image branch with those from the depth branch. Experimental results show that the proposed system achieves a better depth correction performance than state of the art advanced networks. The ablation study reveals that the proposed loss functions in use of image information can enhance depth map accuracy effectively.
Physiological comfort evaluation under different airflow directions in a heating environment
Authors: Tamura Kaori , Matsumoto Sayaka , Tseng Yu Hsuan , Kobayashi Takayuki , Miwa Jun’ichi , Miyazawa Ken’ichi , Matsumoto Soichiro , Hiramatsu Seiji , Otake Hiroyuki , Okamoto Tsuyoshi 
Published: April 2022

Abstract
Background
Indoor airflow and thermal comfort are difficult to assess through subjective evaluations because airflow sensations can differ based on various factors, such as personal characteristics, interests, preferences, and the current state of mind. Thus, subjective evaluations should be combined with objective assessments, such as physiological measurements. This study evaluated airflow and thermal comfort through physiological measurements, including skin temperature, electroencephalography, respiration, and electrocardiography, in addition to subjective evaluations.

Methods
Twenty participants entered a test room at 30 °C after staying in an acclimation room at 18 °C for 20 min. They were exposed to indirect and direct airflow toward their faces and performed four tasks under each condition: resting, counting to 10 s following time alerts, counting to 10 s in the mind, and mental calculation. The mean speed of the air directed to the participants’ faces was 0.123 m/s and 0.225 m/s in the indirect and direct conditions, respectively.

Results
The gamma and beta bands of electroencephalograms taken at the left-temporal (T3) and left-parietal (P7) sites showed significantly lower amplitudes under the indirect condition (gamma, T3: p = 0.034, P7: p = 0.030; beta, T3: p = 0.051, P7: p = 0.028). Similarly, the variability of respiration was lower under the indirect condition (p < 0.010). The amplitudes of gamma and beta waves showed significant correlations with anxiousness levels (gamma, T3: r = 0.41; beta, T3: r = 0.35).

Conclusions
Our results suggest that indirect heating airflow causes lower mental stress and fatigue than those induced by direct flow, which is equivalent to more comfort. The results of this study suggest that physiological measurements can be used for the evaluation of unconscious indoor comfort, which cannot be detected by subjective evaluations alone.
Ciliated muconodular papillary tumor of the lung: a case report and literature review
Authors: Liu Hailong , Huang Peikai , Zhang Meng , Zhu Xianqiang , Chen Jun , Xiao Mengqiang 
Published: April 2022

Abstract
Background
Ciliated Muconodular Papillary Tumor (CMPT) was first reported in 2002, and fewer than 100 cases have since been reported. The prognosis after surgical resection is good, and recurrence has not been reported. However, it is easily misdiagnosed as adenocarcinoma. Summarizing the CT features of CMPT will help doctors better understand the disease.

Case presentation
Here, we report a rare and interesting case of ciliated muconodular papillary tumor. A 6-mm diameter solid nodule with slight lobulation, short spines, and subpleural indentation. Patients with clinical diagnosis of high-risk subpleural nodule in the left lung underwent thoracoscopic surgery. Most CMPT cases lack specific clinical manifestations and were found incidentally on physical examination or during a workup for other diseases. The disease was diagnosed through CT and biopsy, and it responded well to surgery.

Conclusions
This paper presents the detailed computed tomography features of CMPT to help prevent misdiagnosis. The typical manifestations of CMPT imaging as solid and partial nodules, nodules in subpleural or peripheral zones, and nodules contain cavities.
Customization and Returns
Authors: Esenduran Gökçe , Letizia Paolo , Ovchinnikov Anton 
Published: April 2022

Recent advances in information technology, advanced manufacturing (robotics, 3D printing, etc.), and logistics have allowed firms to customize their products to the specifications of individual consumers, who, in turn, prefer these products to standard ones. In the unlikely event that customized products do not match expectations, however, consumers often feel entitled to a return. Should firms offer returns on customized products? We examine this question via a Stackelberg game model, in which the firm (leader) decides the prices and returns policies for its customized and standard products; consumers (followers) decide which product to buy, given the initial noisy valuations and, upon experiencing the product, whether to return it. Both parties act strategically: Forward-looking consumers incorporate the real option value of possible returns into their initial purchasing decisions, and the firm incorporates consumers’ best purchase and return response into its pricing and returns policy decisions. Our model produces three key insights. First, firms can use customized products to induce some consumers who otherwise would buy and return a standard product to switch to lower-return-rate customized products. Second, it may be optimal to offer returns on customized products, despite their lower salvage value. Third, firms can increase profits and reduce (total) returns by offering returnable customized products.This paper was accepted by Duncan Simester, marketing.
Robot-enhanced diabetes care for middle-aged and older adults living with diabetes in the community: A small sample size mixed-method evaluation
Authors: Chiu Ching-Ju , Hua Lin-Chun , Chou Chieh-Ying , Chiang Jung-Hsien 
Published: April 2022

Purpose
This study assessed robot-enhanced healthcare in practical settings for the purpose of community diabetes care.

Methods
A mixed method evaluation collected quantitative and qualitative data on diabetes patients over 45 (N = 30) and community pharmacists (N = 10). It took 15–20 min for the diabetes patients to interact with the robot. Before and after the interaction, questionnaires including a diabetes knowledge test, self-efficacy for diabetes, and feasibility of use of the robot was administered. In-depth interviews with both pharmacists and patients were also conducted.

Results
After interacting with the robot, a statistically significant improvement in diabetes knowledge (p < .001) and feasibility of the robot (p = .012) was found, but self-efficacy (p = .171) was not significantly improved. Five themes emerged from interviewing the diabetes patients: Theme 1: meets the needs of self-directed learning for the elderly; Theme 2: reduces alertness and creates comfortable interaction; Theme 3: vividness and richness enhance interaction opportunities; Theme 4: Robots are not without disadvantages, and Theme 5: Every person has unique tastes. Three themes emerged from interviewing pharmacists: Theme 1: Technology must meet the real needs of the patient; Theme 2: creates new services, and Theme 3: The use of robots must conform to real-life situations.

Conclusions
Both the diabetes patients and the pharmacist reported more positive feedback on the robot-enhanced diabetes care than concerns. Self-directed learning, comfortable interaction, and vividness were the most focuses when using robot to enhance self-management for the patients. Pharmacists were most receptive to fit conforming with reality and creating new services.