bluuebunny/crossref_metadata_2025_split huggingface dataset:
Copy‐number analysis by base‐level normalization: An intuitive visualization tool for evaluating copy number variations
Authors: Kim Hongkyung , Shim Yeeun , Lee Taek Gyu , Won Dongju , Choi Jong Rak , Shin Saeam , Lee Seung‐Tae 
Published: September 2022

AbstractNext‐generation sequencing (NGS) facilitates comprehensive molecular analyses that help with diagnosing unsolved disorders. In addition to detecting single‐nucleotide variations and small insertions/deletions, bioinformatics tools can identify copy number variations (CNVs) in NGS data, which improves the diagnostic yield. However, due to the possibility of false positives, subsequent confirmation tests are generally performed. Here, we introduce Copy‐number Analysis by BAse‐level NormAlization (CABANA), a visualization tool that allows users to intuitively identify candidate CNVs using the normalized single‐base‐level read depth calculated from NGS data. To demonstrate how CABANA works, NGS data were obtained from 474 patients with neuromuscular disorders. CNVs were screened using a conventional bioinformatics tool, ExomeDepth, and then we normalized and visualized those data at the single‐base level using CABANA, followed by manual inspection by geneticists to filter out false positives and determine candidate CNVs. In doing so, we identified 31 candidate CNVs (7%) in 474 patients and subsequently confirmed all of them to be true using multiplex ligation‐dependent probe amplification. The performance of CABANA was deemed acceptable by comparing its diagnostic yield with previous data about neuromuscular disorders. Despite some limitations, we expect CABANA to help researchers accurately identify CNVs and reduce the need for subsequent confirmation testing.
Promoting weight‐loss maintenance among Black women primary care patients: A cluster RCT of a culturally sensitive versus standard behavioural approach
Authors: Tucker Carolyn M. , Anton Stephen D. , Wippold Guillermo M. , Marsiske Michael , Bilello Lori A. , Henry Meagan A. , Shah Nipa R. , Gautam Shiva P. , Klein Kirsten G. , Mathews Anne , Webb Fern , Desmond Frederic 
Published: September 2022

SummaryThe prevalence of obesity is higher among Black women (56.6%) compared to Hispanic women (50%) and non‐Hispanic White women (42%). Notably, interventions to reduce obesity typically result in initial weight loss that is not maintained. This study tested (a) the effectiveness of a 6‐month Health‐Smart Weight Loss (HSWL) Program for Black women patients with obesity implemented by community health workers (CHWs) within primary care clinics and (b) the comparative effectiveness of two 12‐month physician‐implemented weight loss maintenance programs—a Patient‐Centred Culturally Sensitive Weight Loss Maintenance Program (PCCS‐WLM Program) and a Standard Behavioural Weight Loss Maintenance Program (SB‐WLM Program). Black women patients (N = 683) with obesity from 20 community primary care clinics participated in the HSWL Program and were then randomized to either maintenance program. The HSWL Program led to significant weight loss (i.e., 2.7 pounds, 1.22 kg, p < .01, −1.1%) among the participants. Participants in both the PCCS‐WLM Program and the SB‐WLM Program maintained their weight loss; however, at month 18, participants in the PCCS‐WLM Program had a significantly lower weight than those in the SB‐WLM (i.e., 231.9 vs. 239.4 pounds or 105.19 vs. 108.59 kg). This study suggests that (a) the HSWL Program can produce significant weight loss among Black women patients with obesity when implemented in primary care clinics by CHWs, and (b) primary care physicians can be trained to successfully promote weight loss maintenance among their Black women patients.
Natural functionalisation of a traditional textile “Ehram”
Authors: Yılmaz Fazlıhan , Aydınlıoğlu Ömer , Benli Hüseyin , Gültepe Gülten , Bahtiyari Muhammed İbrahim 
Published: September 2022

AbstractThis study is focused on the natural functionalisation of a traditional woven fabric called “Ehram”. Which is a wool based woven fabric constituted from wool yarns that are originally coloured and used in different cities of the Eastern Anatolian Region, Turkey. Because these fabrics were originally coloured (pigmented), the study aimed to functionalise them with minimal colour changes from their original colour. For this aim; lavender (Lavandula angustifolia) which is also a natural source of pleasant odour was used in finishing of Ehram. The colour changes by the application of the lavender on Ehram and the benefits that come out from the use of lavender were then analysed and presented in the study. In this respect, antibacterial activities (against Staphylococcus aureus and Escherichia coli) of dyed samples were tested within the scope of the study. In addition, colour measurements (K/S and CIE L*a*b* C* and ho) and FTIR (Fourier‐transform infrared) microspectroscopy analyses of dyed fabric samples were made and microscope images were taken. It was observed that lavender with a copper‐based mordanting agent can present antibacterial activity against S. aureus and E. coli in Ehram.
Attention‐based vector quantisation variational autoencoder for colour‐patterned fabrics defect detection
Authors: Zhang Hongwei , Qiao Guanhua , Liu Shuting , Lyu Yuting , Yao Le , Ge Zhiqiang 
Published: September 2022

AbstractDefect detection is an essential link in the fabric production process. Due to the diversity of patterns and scarcity of defect samples for colour‐patterned fabrics, reconstruction‐based unsupervised deep learning algorithms have received extensive attention in the field of fabric defect detection. Among them, unsupervised reconstruction models based on variational autoencoders (VAEs) have been shown to be effective. However, there is a problem of posterior collapse in the process of modelling parametric distributions of continuous variables by VAEs. Therefore, VAE‐based defect detection methods for colour‐patterned fabrics usually produce ambiguous reconstruction results, thereby affecting the defect detection performance. In this article, an attention‐based vector quantisation variational autoencoder (AVQ‐VAE) is proposed for colour‐patterned fabric defect detection. The method adopts autoregressive modelling of discrete variables to avoid the posterior collapse problem of traditional VAEs, and utilises attention mechanism to enhance the feature representation ability of the model. AVQ‐VAE consists of encoder, embedding space, decoder and attention mechanism. The encoder is used to map the input image into multiple feature vectors. Vector quantisation in embedding space is used for discretisation and autoregressive modelling of feature vectors. A decoder is used to decode discrete variables into images of the same size as the original input. Furthermore, an attention mechanism is used to capture channel and spatial correlations, which help the model focus on important information by adaptively recalibrating feature maps. Experimental results on public datasets demonstrate that the proposed method is robust and effective for colour‐patterned fabric defect detection.
Optimization of blood pressure measurement practices for pharmacodynamic analyses of tyrosine‐kinase inhibitors
Authors: Centanni Maddalena , Thijs Abel , Desar Ingrid , Karlsson Mats O. , Friberg Lena E. 
Published: September 2022

AbstractBlood pressure measurements form a critical component of adverse event monitoring for tyrosine kinase inhibitors, but might also serve as a biomarker for dose titrations. This study explored the impact of various sources of within‐individual variation on blood pressure readings to improve measurement practices and evaluated the utility for individual‐ and population‐level dose selection. A pharmacokinetic–pharmacodynamic modeling framework was created to describe circadian blood pressure changes, inter‐ and intra‐day variability, changes from dipper to non‐dipper profiles, and the relationship between drug exposure and blood pressure changes over time. The framework was used to quantitatively evaluate the influence of physiological and pharmacological aspects on blood pressure measurements, as well as to compare measurement techniques, including office‐based, home‐based, and ambulatory 24‐h blood pressure readings. Circadian changes, as well as random intra‐day and inter‐day variability, were found to be the largest sources of within‐individual variation in blood pressure. Office‐based and ambulatory 24‐h measurements gave rise to potential bias (>5 mmHg), which was mitigated by model‐based estimations. Our findings suggest that 5–8 consecutive, home‐based, measurements taken at a consistent time around noon, or alternatively within a limited time frame (e.g., 8.00 a.m. to 12.00 p.m. or 12.00 p.m. to 5.00 p.m.), will give rise to the most consistent blood pressure estimates. Blood pressure measurements likely do not represent a sufficiently accurate method for individual‐level dose selection, but may be valuable for population‐level dose identification. A user‐friendly tool has been made available to allow for interactive blood pressure simulations and estimations for the investigated scenarios.
Fine needle aspiration cytology of a superficial CD34‐positive fibroblastic tumour, including differential diagnoses and recent updates
Authors: Rekhi Bharat 
Published: September 2022

AbstractBackgroundSuperficial CD34‐positive fibroblastic tumor is recognized as a distinct tumor of fibroblastic lineage in the recent World Health Organization (WHO) classification of tumors of soft tissues. There is an occasional report on cytomorphologic features of this rare tumor.Case ReportA 28‐year‐old male presented with swelling in his left thigh of 3 years duration, that was diagnosed as a pleomorphic sarcoma, elsewhere. Radiological imaging showed a well‐defined lesion measuring 2.8 cm along the anteromedial aspect of the left mid‐thigh in the subcutaneous location. Review of FNAC smears revealed a hypercellular tumor composed of spindle and pleomorphic cells with fine to more vesicular chromatin, and moderate to abundant granular to characteristic “glassy” cytoplasm including cells showing intranuclear pseudo inclusions, devoid of mitotic figures. Interspersed was pink stroma and several inflammatory cells including lymphocytes. Immunohistochemically, tumor cells were diffusely positive for CD34 and focally for AE1/AE3. A diagnosis of superficial CD34‐positive fibroblastic tumor was finally offered.ConclusionsThis constitutes one of the first reports of cytomorphologic features of Superficial CD34‐positive fibroblastic tumor. Its differential diagnoses, molecular updates and treatment‐associated implications are discussed herewith.
Low‐trophic level fishes and riverbank trees showed similar growth responses to climate warming on the Tibetan Plateau
Authors: Tao Juan , Huang Minrui , Ding Liuyong , Wang Jun , Ding Chengzhi 
Published: September 2022

AbstractHow neighbouring aquatic and terrestrial ecosystems respond to climate change in the same area remains poorly explored, fundamentally constraining our understanding of cross‐ecosystem processes, prediction capabilities and catchment management. This study simultaneously explored how the growth of three fish species at different trophic levels and one riverbank juniper species responds to the climate in the upper Nu‐Salween River. Biochronologies and hierarchical linear mixed‐effects models were used to resolve the contribution of three sources (i.e. random, fixed intrinsic and fixed extrinsic effects) to growth variations. The optimal models explained higher percentages of the annual growth variabilities for fishes (63.1%–90.1%) than for juniper (28.2%). All the growth chronologies showed temporal variations after eliminating the fixed intrinsic effects, and for fishes, extra cohort effects were observed. Age was the major fixed intrinsic factor affecting growth variations for fishes but not for trees. All females showed clearly faster growth than males for all fishes at all ages. Among fixed extrinsic effects, temperature showed a consistent significant correlation with the growth of lower‐trophic level fishes and juniper but not with that of the higher‐trophic level fish. Only one global variable (i.e. El Niño Southern Oscillation) exerted a significant negative effect on the growth of the higher‐trophic level fish. The results suggest that fishes may be more sensitive to climate change than terrestrial trees, and the similarity in the growth response across ecosystems likely depends on trophic levels, which should be highlighted in related predictions and catchment management.
Salvage haploidentical or cord‐blood allogeneic stem cell transplantation after a prior alternative allograft in hematologic malignancies: A retrospective study from the SFGM‐TC
Authors: Cavalieri Doriane , Rubio Marie‐Thérèse , Corriger Alexandrine , Pereira Bruno , Cabrespine Aurélie , Robin Marie , Labussière‐Wallet Hélène , Calleja Anne , Forcade Edouard , Chevallier Patrice , Guillerm Gaelle , Berceanu Ana , Bulabois Claude‐Eric , Maillard Natacha , Nguyen Stéphanie , Raus Nicole , Schoemans Hélène , Bay Jacques‐Olivier , Ravinet Aurélie 
Published: September 2022

AbstractBackgroundHaploidentical (haplo‐) donors and cord‐blood (CB) stem cells provide alternative transplant options in patients lacking an HLA‐matched donor. In case of relapse or graft failure after a first alternative allogeneic hematopoietic stem cell transplant (HSCT), a second alternative HSCT (HSCT2) is rarely considered due to a high risk of toxicity.MethodsA retrospective French multicentre study was performed, including patients with hematologic malignancies who underwent two consecutive HSCT from alternative donors. All data were exported from the national ProMISE database between 2000 and 2016.ResultsForty‐three patients (61.4%) received a CB‐HSCT2 and 27 (38.6%) a haplo‐HSCT2. Indications for HSCT were graft failure (51.4%) or disease progression (48.6%). Two‐years probabilities of overall survival, progression‐free survival and toxicity‐related mortality were 18.5%, 17.8% and 55.8%, respectively. In multivariate analysis, complete remission status at HSCT2 and year of HSCT2 ≥ 2012 were significantly associated with a better outcome (with respectively hazard ratio [HR] = 0.42, p = .002 and HR = 0.5, p = .051).ConclusionsNeither the indication of HSCT2 nor the source of stem cell was more advantageous towards overall patient survival. A salvage haploidentical or cord‐blood stem cell transplantation is a high‐risk procedure, that may be considered for patients achieving a complete remission before receiving the second HSCT.
Surgical hematoma evacuation of cortical intracerebral hemorrhage ≥10 ml reduces risk of subsequent epilepsy by more than 70%: A retrospective monocenter study
Authors: Welte Tamara M. , Steidl Josephine , Stritzelberger Jenny , Gollwitzer Stephanie , Lang Johannes D. , Reindl Caroline , Rampp Stefan , Maslarova Anna , Brandner Sebastian , Hock Stefan , Muehlen Iris , Doerfler Arnd , Kuramatsu Joji B. , Schwab Stefan , Huttner Hagen B. , Sprügel Maximilian I. , Hamer Hajo M. 
Published: September 2022

AbstractAimThe aim of this study was to re‐evaluate risk factors for post‐ICH epilepsy (PICHE) and examine the impact of surgical hematoma evacuation on epilepsy development after ICH.Background and purposeEpilepsy is a common complication after intracerebral hemorrhage (ICH). Information on risk factors is still scarce and the role of ICH evacuation remains uncertain.MethodsWe retrospectively included patients with spontaneous ICH treated in our hospital in 2006–2019. Patients' medical records were analyzed. In addition, mailed questionnaires and telephone interviews were used to complete the dataset. Uni‐ and multivariable hazard ratios (HRs) were applied to investigate risk factors for PICHE and the impact of surgical ICH evacuation.ResultsAmong 587 ICH patients available for analyses, 139 (23.7%) developed PICHE (mean follow‐up 1795 ± 1378 days). The median time of epilepsy onset was 7 months after ICH (range 1–132 months). Risk factors associated with PICHE were cortical hemorrhage (multivariable HR 1.65 [95% CI 1.14–2.37]; p = 0.008), ICH volume > 10 ml (multivariable HR 1.91 [95% CI 1.33–2.73]; p < 0.001) and acute symptomatic seizures (multivariable HR 1.81 [95% CI 1.20–2.75]; p = 0.005). Patients with cortical ICH > 10 ml who underwent surgical hematoma evacuation were less likely to develop epilepsy than those with conservative treatment alone (multivariable HR 0.26 [95% CI 0.08–0.84]; p = 0.025).ConclusionsPost‐ICH epilepsy is frequent and predicted by large cortical ICH and acute symptomatic seizures. Hematoma evacuation reduced the risk of PICHE by more than 70% in patients with large cortical ICH. This finding could be considered in the clinical decision making on the acute treatment of ICH.
CA‐MLBS: content‐aware machine learning based load balancing scheduler in the cloud environment
Authors: Adil Muhammad , Nabi Said , Aleem Muhammad , Diaz Vicente Garcia , Lin Jerry Chun‐Wei 
Published: September 2022

AbstractCloud computing is the on‐demand provision of computing resources over the Internet, such as cloud storage, computing power, network, and so on. Cloud computing has several advantages, including high speed, cost reduction, data security, and scalability. The main challenge in cloud environment is to balance the workloads and network traffic among the available resources to achieve maximum performance. Several methods have been proposed in the literature for effective load balancing, including heuristic, meta‐heuristic, and hybrid algorithms. The performance of these techniques has been improved by combining machine learning based Artificial Intelligence (AI) techniques and meta‐heuristic algorithms. Most of the existing load balancing techniques are not aware of the content type of user tasks. However, from the literature, the content type of the tasks can be very effective to design a balanced workload distribution system in the cloud. In this work, a novel AI‐assisted hybrid approach called Content‐aware Machine Learning based Load Balancing Scheduler (CA‐MLBS) is proposed. The scheduling system CA‐MLBS combines machine learning and meta‐heuristic algorithms to perform classification based on file type. To achieve this, a Support Vector Machine (SVM) based classifier is used to classify user tasks into different content types such as video, audio, image, and text. A metaheuristic algorithm based on Particle Swarm Optimization (PSO) is used to map users' tasks in the cloud. The proposed approach was implemented and evaluated using a renowned Cloudsim simulation kit and compared with Ant Colony Optimization File Type Format (ACOFTF) and Data Files Type Formatting (DFTF) heuristics. The results of the proposed study show that the proposed CA‐MLBS technique achieved improvements of up to 29%, 29%, and 44% in terms of makespan, response time, and throughput, respectively.
Do uninformed traders move prices? Evidence from the Bank of Japan's ETF purchasing program
Authors: Bouffler Luke , Kwan Amy , Liang Lantian , Philip Richard 
Published: September 2022

AbstractUsing the Bank of Japan (BoJ) ETF purchasing program as an exogenous shock to stock demand, we find that stocks with a higher BoJ demand experience higher positive abnormal returns on BoJ ETF purchase dates, which only partially revert in the long term. Our findings support the hypothesis that stocks have a downward‐sloping demand curve, implying that uninformed traders can cause a permanent shift in price.
Assessing nutritional status in older adults requiring long‐term care: Interchangeability of bioelectrical impedance analysis and manual methods for upper arm anthropometric measurements
Authors: Sato Ryo , Sawaya Yohei , Ishizaka Masahiro , Shiba Takahiro , Hirose Tamaki , Urano Tomohiko 
Published: September 2022

AimIn older adults, arm circumference and arm muscle circumference are common nutritional assessment tools. Bioelectrical impedance analysis devices can automatically measure arm circumference and arm muscle circumference. However, the interchangeability of the measurements made by bioelectrical impedance analysis with the actual manual measurements has not been clarified. This study examined the interchangeability of these two measurements and their relationship with sarcopenia.MethodsThe interchangeability between bioelectrical impedance analysis and manual arm circumference and arm muscle circumference measurements was calculated using Bland–Altman analysis in 112 older adults certified to require long‐term care in the Japanese system. Furthermore, multivariate analysis was used to investigate the association between arm circumference and arm muscle circumference obtained using the bioelectrical impedance analysis method and sarcopenia.ResultsThe bioelectrical impedance analysis and manual methods were interchangeable, with a percentage error of <15% (arm circumference 13.54% and arm muscle circumference 13.54%) for the upper arm anthropometric measurement. In multivariate analysis, decreased arm muscle circumference was significantly associated with sarcopenia risk.ConclusionsValues obtained using the bioelectrical impedance analysis method were interchangeable with the values obtained using manual measurement. This shows that upper arm anthropometric measurement using bioelectrical impedance analysis might be useful as a nutritional assessment tool for older adults requiring long‐term care. Geriatr Gerontol Int 2022; 22: 938–942.
Best practices for implementing experimental research methods
Authors: Stoner Jennifer L. , Felix Reto , Stadler Blank Ashley 
Published: September 2022

AbstractExperimental research methods have a long history across a number of different disciplines—including consumer research. Although experiments are just one of many alternative research methods, experiments are notable because they are the best way to establish causation. This makes experiments a powerful tool when researchers need to show cause and effect relationships. In this article, we provide best practices for implementing experimental research methods in consumer studies. Specifically, we discuss several important topics researchers need to consider when designing experiments, including developing hypotheses, operationalizing the variables (manipulated or measured), deciding on the research design (between‐subjects, within‐subjects, or mixed), selecting the research setting (laboratory, field, or online), understanding the main effect (via moderation, mediation, or moderated mediation), including manipulation and attention checks, determining the sample size, and choosing participants. We provide recommendations that researchers can use to conduct high‐quality experiments in a consumer context.