bluuebunny/crossref_metadata_2025_split huggingface dataset:
A nationwide survey of the use of the laparoscopic power morcellator
Authors: Hiraike Osamu , Koga Kaori , Taniguchi Fuminori , Harada Tasuku , Takeshita Toshiyuki , Shiota Mitsuru , Osuga Yutaka ,   Laparoscopic power morcellator Research Committee in Japan Society of Gynecologic and Obstetric Endoscopy and Minimally Invasive Therapy (JSGOE)
Published: November 2022

AbstractAimLaparoscopic power morcellator (LPM) can be used for tissue retrieval through laparoscopic port site, but the dissemination of uterine and/or myoma tissues is a serious complication. To study the use of LPM for uterine fibroid treatment in Japan, we aimed to perform two national cross‐sectional surveys comprising multiple questionnaires.MethodsThe first survey (2011–2013) was conducted in November 2014, and 203 medical institutions responded. The second survey (2017–2019) was conducted in December 2020, and 302 medical institutions were investigated.ResultsOverall, 72 104 and 120 425 surgeries and 0.04% and 0.05% cases of postoperative malignancy diagnosis were reported in the first and second surveys, respectively. Magnetic resonance imaging was performed in >90% of the cases in the first and second surveys as preoperative examinations. The frequency of LPM at hysterectomy was 8.9% and 4.6% and the frequency of LPM at laparoscopic myomectomy was 80.4% and 54.8% in the first and second surveys, respectively; both the parameters decreased in the second survey.ConclusionsIt is impossible to completely exclude malignant diseases even if extensive preoperative diagnosis has been done before surgery. Therefore, the use of LPM in patients requires careful attention and informed consent in Japan.
Uprighting a mesially tilted molar using customized titanium healing abutment of an adjacent osseointegrated implant
Authors: Yehya Mohammed , Alshawy Ebrahim , Alenezi Ali 
Published: November 2022

AbstractThis case report evaluates the use of a customized healing abutment of a dental implant to upright a mesially tilted molar using elastic separating rings. The external surface of the healing abutment was roughened by air particle abrasion, and a flowable composite was applied as a collar around it. The size of the resin collar was increased several times during the molar uprighting treatment by replacing the elastic ring. The uprighting procedure was evaluated after 2 months using radiographic and clinical evaluations. After treatment, the mesiodistal space above the implant was increased from 6 mm to 9 mm as follows: 2 mm by uprighting the second molar and 1 mm by mesial shifting the second premolar, and then a screw‐retained zirconia crown was placed to restore the implant. The healing abutment of the implant can be modified by adding a resin collar and used as orthodontic anchorage for uprighting the adjacent tilted molar to facilitate the prosthetic procedure. Neither special instruments nor an orthodontic background are required for this minor tooth movement.
Managing New Technology When Effective Control is Lost: Facing Hard Choices With CRISPR
Authors: Zimbelman Joel Andrew 
Published: November 2022

ABSTRACTThis paper seeks to expand our appreciation of the gene editing tool, clustered regularly interspaced short palindromic repeats‐associated protein 9 (CRISPR‐Cas9), its function, its benefits and risks, and the challenges of regulating its use. I frame CRISPR's emergence and its current use in the context of 150 years of formal exploration of heredity and genetics. I describe CRISPR's structure and explain how it functions as a useful engineering tool. The contemporary international and domestic regulatory environment governing human genetic interventions is reviewed and shown to be increasingly ineffective in its ability to restrain, guide, and optimize the emerging use of CRISPR. Several reasons for this lack of consensus are discussed. In conclusion, I suggest a number of public policy recommendations that might allow us to simultaneously embrace our most important moral values and manage the inevitable power CRISPR will come to have in our lives.
Nightmare distress is related to traumatic childhood experiences, critical life events and emotional appraisal of a dream rather than to its content
Authors: Mathes Jonas , Schuffelen Jennifer , Gieselmann Annika , Pietrowsky Reinhard 
Published: November 2022

SummaryNightmares are a substantial burden for sleep quality. Previous studies have shown that traumatic experiences can increase the probability of nightmares, and also waking‐life distress can enhance this effect. There is evidence that the intensity of negative dream emotions is more responsible for rating a dream as a nightmare than threatening dream contents. However, there is still a lack of research concerning effects on nightmare distress. We hypothesise that traumatic childhood experiences (such as emotional abuse, obtained by the Childhood Trauma Questionnaire), critical life events (obtained by the Social Readjustment Rating Scale) and threatening dream contents are associated with nightmare distress. A sample of N = 103 participants kept a dream diary over 28 consecutive days. About 60% of the sample were frequent nightmare dreamers. The participants recorded their violent dream contents and dream emotions in their diary. To predict nightmare distress, regression models were constructed; nightmare distress was measured with the Nightmare Distress Questionnaire. Results showed that emotional abuse in childhood and critical life events predicted nightmare distress. Moreover, violent dream contents were associated with nightmare distress but, after we controlled for nightmare frequency and the intensity of negative dream emotions, the significant impact of violent dream contents decreased. The results suggest that the emotional appraisal of a dream has a substantial influence on nightmares in addition to traumatic childhood experiences and critical life events.
Comparative transcriptomic reveals the molecular mechanism of maize hybrid Zhengdan538 in response to water deficit
Authors: Zhang Fengqi , Ding Yong , Zhang Jun , Tang Minqiang , Cao Yanyong , Zhang Lanxun , Ma Zhiyan , Qi Jianshuang , Mu Xinyuan , Xia Laikun , Tang Baojun 
Published: November 2022

AbstractHeterosis, known as one of the most successful strategies for increasing grain yield and abiotic/biotic stress tolerance, has been widely exploited in maize breeding. However, the underlying molecular processes are still to be elucidated. The maize hybrid “Zhengdan538” shows high tolerance to drought stress. The transcriptomes of the seedling leaves of its parents, “ZhengA88” and “ZhengT22” and their reciprocal F1 hybrid under well‐watered and water deficit conditions, were analyzed by RNA sequencing (RNA‐Seq). Transcriptome profiling of the reciprocal hybrid revealed 2994–4692 differentially expressed genes (DEGs) under well‐watered and water‐deficit conditions, which were identified by comparing with their parents. The reciprocal hybrid was more closely related to the parental line “ZhengT22” than to the parental line “ZhengA88” in terms of gene expression patterns under water‐deficit condition. Furthermore, genes showed expression level dominance (ELD), especially the high‐parental ELD (Class 3 and 5), accounted for the largest proportion of DEGs between the reciprocal F1 hybrid and their parental lines under water deficit. These ELD genes mainly participated in photosynthesis, energy biosynthesis, and metabolism processes. The results indicated that ELD genes played important roles in hybrid tolerance to water deficit. Moreover, a set of important drought‐responsive transcription factors were found to be encoded by the identified ELD genes and are thought to function in improving drought tolerance in maize hybrid plants. Our results provide a better understanding of the molecular mechanism of drought tolerance in hybrid maize.
Diseases of the giant river prawnMacrobrachium rosenbergii: A review for a growing industry
Authors: Hooper Chantelle , Debnath Partho P. , Stentiford Grant D. , Bateman Kelly S. , Salin Krishna R. , Bass David 
Published: November 2022

AbstractThe giant river prawn,Macrobrachium rosenbergii, is a major focus of aquaculture in tropical and sub‐tropical regions around the globe. Over the last 30 years, culture ofM.rosenbergiihas increased exponentially as demand has risen both for domestic consumption and for international export trade. As with many aquaculture species increases in production have been accompanied by the emergence of diseases affecting yield, profit and trading potential. Disease‐causing agents include pathogens infecting other crustaceans, such asDecapod Iridescent Virus(DIV1), as well as pathogens only known fromM.rosenbergiisuch as White Tail Disease caused by Macrobrachium rosenbergii nodavirus (MrNV) and extra small virus (XSV). Here, we review the pathogenic agents associated with the culture ofM.rosenbergiisince commercial culture began in earnest during the 1970s. Particular emphasis is given to pathogens first identified in other aquaculture host species, but which have subsequently been shown to infect and cause disease inM.rosenbergii. As polyculture ofM.rosenbergiiwith other aquaculture species is common practice, including culture with other decapods, crabs and fish, increased pathogen transfer among these farmed species may occur asM.rosenbergiiaquaculture increases in the future.
Genomic resources and their applications in aquaculture of Asian seabass (Lates calcarifer)
Authors: Yue Gen Hua , Wang Le , Yang Zituo , Sun Fei , Tay Yi Xuan , Wong Joey , Yeo Shadame 
Published: November 2022

AbstractGenomic resources, including nuclear DNA markers, mitochondrial DNA markers, high‐resolution linkage maps, transcriptomes, reference genome sequences and their annotations, are critically important in aquaculture. Their potential applications are plenty, such as enabling the analysis of genetic diversity in population structures, mating and spawning behaviour; genetic traceability; reconstructing pedigrees; mapping quantitative trait loci (QTL) for important phenotypic traits; marker‐assisted selection and genomic selection; and to understand genetic and epigenetic regulation of traits. Asian seabass (Lates calcarifer) is becoming a popular aquaculture species. In the past 30 years, many genomic resources have been developed and used to understand the genetic diversity of wild and cultured populations, setting up mating schemes, genetic traceability, mapping QTL and genome‐wide association studies for growth, omega‐3 fatty acid content, resistance to diseases and genetic improvement of important traits in breeding programmes. In this review, we systematically synthesize the status of available genomic resources and their applications in enhancing the genetic improvement and aquaculture production of Asian seabass. We also critically discuss the challenges and future research directions of developing, optimizing and applying genomic resources in Asian seabass aquaculture.
Enhancement of Liquid Sodium (Na) Forced Convection Within Miniature Heat Sinks
Authors: Pourghasemi Mahyar , Fathi Nima 
Published: November 2022

Abstract
This investigation is devoted to evaluating the thermal hydraulics behavior of sodium-based (Na) miniature heat sinks. The investigated geometrical parameters cover a range of 0.143–1 for heat sink aspect ratios, 0.267–21.7 mm for hydraulic diameters, and 600–20,000 for the Reynolds number. As the first objective in this work, two correlations are developed and proposed for Na friction factors and average Nusselt numbers in steel (SS-316) miniature heat sinks with a hydraulic diameter of less than 5 mm. Obtained correlations for Nusselt numbers and friction factors estimate the numerical results with a margin of error of 5% and 10%, respectively. The developed correlation for the average Nusselt number in Na-cooled miniature heat sinks is compared against available and reported correlations in the literature for macroscale liquid metal-cooled pipes and channels. It is revealed that the available correlations in the literature tend to significantly overestimate the Nusselt number in rectangular miniature heat sinks with a hydraulic diameter of less than 5 mm. As the second objective in this work, the developed and verified numerical model is utilized to evaluate the thermal efficiency of Na-cooled copper-based miniature heat sinks with an innovative design that includes a corrosion-resistant coating (cladding layer). The thickness of the corrosion-resistant coating varies from 0.25 mm to 4.5 mm with a thermal conductivity range of 4–17 (W/m K). The cladded heat sink aspect ratio and its hydraulic diameter vary between 0.29–1 and 2500–10,000, respectively. Two different trends are observed for the thermal efficiency of the protective cladding layer in terms of its thermal conductivity. In this class of small-scale heat sinks with the employed aspect of 0.29, a considerable thermal efficiency enhancement of the corrosion-resistant coating is obtained by increasing its thermal conductivity. However, in cladded miniature heat sinks with aspect ratios of 0.635 and 1, the thermal efficiency of the cladding layer tends to decrease as its thermal conductivity increases. A maximum of 30% enhancement in the thermal efficiency of the investigated cladded copper-based miniature heat sinks is observed compared to identical miniature heat sinks made totally out of the cladding layer material. The obtained results reveal that the copper-based cladded miniature heat sink of aspect ratio 1 provides the highest thermal efficiency among all the three investigated cladded heat sinks.
Dynamic Stability of Passive Dynamic Walking Following Unexpected Perturbations
Authors: Barnett Nelson V. , Lammert Adam C. 
Published: November 2022

Abstract
Mitigating the risk of falling is an area of significant interest among clinicians due to the often profound health-related consequences of falls. Consequently, there is acute interest in characterizing the biomechanical conditions associated with increased fall risk, and in methods for quantifying gait stability under those conditions toward predicting and ultimately preventing falls. Considerable insights into the biomechanics of fall risk have been provided by examining the passive dynamic walking (PDW) model under nominal and perturbed conditions. This work aims to expand upon prior efforts and develop the PDW model as a model of tripping and slipping by simulating and analyzing the behavior of the model during transient perturbations. We show that fall risk increases with increasing perturbation magnitude, yet stable walking may be found even with fairly large perturbations. In cases where transient perturbations result in a fall, a nontrivial portion exhibit a substantial period of stumbling before the fall, indicating an opportunity for developing early fall-risk detection and intervention techniques. In such cases, we show that widely used kinematic metrics are able to predict whether or not a fall will occur with up to 82% balanced accuracy, even when a variety of gait kinematics are considered.
Influence of the Geometric Parameters on the Fiber Stresses in Unidirectional Composites Subject to Transverse Loading
Authors: Krishna Challa Geetha , Vora Yash Anup , Manoj Ishan , Patle Tushar Moreshwar , Jain Atul 
Published: November 2022

Abstract
When a unidirectional (UD) composite is subjected to transverse loading, different fibers are not stressed equally. In this paper, realizations of virtual random representative volume element (RVE) and experimental SEM images are translated into finite element models and the average stresses in each fiber are determined. The average stress in individual fibers is correlated with various geometric parameters like nearest neighbor distance, the angle(s) between the nearest neighbor and local fiber volume fraction. A very loose correlation with significant outliers is observed. For the matrix, the region with the highest fiber content does not necessarily lead to the highest matrix stress. The fibers with highest average stresses and the regions with highest matrix stresses are difficult to determine and cannot be simply correlated with geometric parameters.
Effect of Temperature on Simulated Flow-Induced Vibration Wear Behavior of Inconel 690 Alloy Mated With 304 SS in Pressurized Steam/Water Environment
Authors: Zhang Shengzan , Tian Ce , Liu Liyan , Tan Wei 
Published: November 2022

Abstract
Steam generator tube, which is commonly made of Inconel 690 alloy, is suffered from flow-induced vibration and worked under high-temperature and high-pressure water/steam environment. This working condition leads to significant synergistic damage of fretting wear and corrosion. Thus, to investigate the synergistic damage mechanism, a flow-induced vibration wear simulated method was used to investigate the flow-induced vibration wear behavior of 690 alloy tube against 304 SS plate at 100 °C, 200 °C, and 285 °C in steam/water environment. Results show that the fretting wear damage decreased with temperature in water environment. But for the steam environment, fretting wear damage decreased to a minimum value at 200 °C and then increased to a maximum value at 285 °C. The synergistic damage mechanism between wear and corrosion was analyzed. Wear can damage the material surface and promote oxidation. On the other hand, the oxide layer formed on the surface can protect the surface from wear or promote wear damage, which depends on its characteristics influenced by the environment.
Wear Characteristics of Wire-Arc Additive Manufactured SS308L
Authors: Koli Yashwant , Aravindan S. , Rao P. V. 
Published: November 2022

Abstract
Wire arc additive manufacturing (WAAM) is an efficient metal additive manufacturing technology. It can be easily accomplished with a gas metal arc welding (GMAW)—cold metal transfer (CMT) machine due to low heat input and low spatter generation characteristics. Austenitic stainless steel (ASS 308L) single thin walls were fabricated using ER308L filler wire having 1.2 mm diameter. The wear summary of the WAAM-processed 308L ASS under dry sliding at severe loading conditions is presented. Wear tests were done under dry (unlubricated) conditions, using a typical high-load pin-on-disc tribometer. AM-ASS processed with a lower heat input exhibited a low coefficient of friction (COF) and wear-rate. The microhardness is observed to be reducing steadily from the bottom layer to the top layer along the building direction to roughly 11.73%, 10.09%, and 8.44% in low, medium, and high heat input, respectively. This is attributed to the thermal history experienced by the material. X-ray diffraction (XRD) analysis of wear debris reveals that martensite is the most prevalent phase. In the wear behavior of AM-ASS, austenite transforms into martensite due to the metastability of ASS during plastic deformation. At severe stresses, plastic deformation of sliding surfaces is more prevalent. Ferrite (%) concentration decreases with the increasing load due to increased plastic deformation, which converts austenite to martensite. As deformation wear debris rolls, it hardens, fractures, and becomes cylindrical, which confirms the adhesive wear mechanism.
Reducing Energy Use in Light Industrial Buildings in Southeast Asia: A Singaporean Case Study
Authors: Li Guo , Anderson Timothy 
Published: November 2022

Abstract
In recent years, there has been an increased interest in improving the energy efficiency of the Southeast Asian building sector. However, much of this work has focused on residential and commercial buildings rather than industrial buildings. Therefore, this work undertook a case study of the energy used in a Singaporean industrial building complex typical of those used in the light manufacturing sector in the region. A building energy simulation analysis was performed on the “as built” building and was validated using measured energy usage data. Subsequently, a parametric analysis was utilized to identify opportunities for reducing energy use on the site. The results indicate that energy savings of over 15% could be achieved by improving the performance of the industrial equipment, HVAC system, lighting, and building thermal envelope. Of these factors, improving the energy efficiency of the equipment and relaxing the HVAC setpoint temperature accounted for over 10%. Given the typical nature of the building, it is believed that the results are indicative of what may be achievable in other light manufacturing complexes in Southeast Asia, and similar locations more generally.
Risk of bias in studies on prediction models developed using supervised
machine learning techniques: systematic review
Authors: Andaur Navarro Constanza L , Damen Johanna A A , Takada Toshihiko , Nijman Steven W J , Dhiman Paula , Ma Jie , Collins Gary S , Bajpai Ram , Riley Richard D , Moons Karel G M , Hooft Lotty 
Published: November 2022

Abstract

Objective
To assess the methodological quality of studies on prediction models
developed using machine learning techniques across all medical
specialties.

Design
Systematic review.

Data sources
PubMed from 1 January 2018 to 31 December 2019.

Eligibility criteria
Articles reporting on the development, with or without external
validation, of a multivariable prediction model (diagnostic or
prognostic) developed using supervised machine learning for
individualised predictions. No restrictions applied for study design,
data source, or predicted patient related health outcomes.

Review methods
Methodological quality of the studies was determined and risk of
bias evaluated using the prediction risk of bias assessment tool
(PROBAST). This tool contains 21 signalling questions tailored to
identify potential biases in four domains. Risk of bias was measured for
each domain (participants, predictors, outcome, and analysis) and each
study (overall).

Results
152 studies were included: 58 (38%) included a diagnostic prediction
model and 94 (62%) a prognostic prediction model. PROBAST was applied to
152 developed models and 19 external validations. Of these 171 analyses,
148 (87%, 95% confidence interval 81% to 91%) were rated at high risk of
bias. The analysis domain was most frequently rated at high risk of
bias. Of the 152 models, 85 (56%, 48% to 64%) were developed with an
inadequate number of events per candidate predictor, 62 handled missing
data inadequately (41%, 33% to 49%), and 59 assessed overfitting
improperly (39%, 31% to 47%). Most models used appropriate data sources
to develop (73%, 66% to 79%) and externally validate the machine
learning based prediction models (74%, 51% to 88%). Information about
blinding of outcome and blinding of predictors was, however, absent in
60 (40%, 32% to 47%) and 79 (52%, 44% to 60%) of the developed models,
respectively.

Conclusion
Most studies on machine learning based prediction models show poor
methodological quality and are at high risk of bias. Factors
contributing to risk of bias include small study size, poor handling of
missing data, and failure to deal with overfitting. Efforts to improve
the design, conduct, reporting, and validation of such studies are
necessary to boost the application of machine learning based prediction
models in clinical practice.

Systematic review registration
PROSPERO CRD42019161764.