bluuebunny/crossref_metadata_2025_split huggingface dataset:
SR-B1 and CD10 combined immunoprofile for differential diagnosis of metastatic clear cell renal cell carcinoma and clear cell carcinoma of the ovary
Authors: Jiang Teng , Diao Xiaoli , Ding Meili , Niu Xiao , Wang Chao , Qi Yan , Jia Wei , Pang Lijuan , Hu Wenhao , Zou Hong , Li Feng 
Published: February 2021

AbstractBoth clear cell renal carcinoma (ccRCC) and clear cell carcinoma of the ovary (CCOC) have a clear cytoplasmic morphological feature, hence it is difficult to identify metastatic ccRCC and CCOC by morphology alone. At present, there are no effective immunohistochemical markers to distinguish between these two tumors. Studies have shown that the clear cytoplasm of ccRCC is mainly caused by cholesterol-rich lipids in the cytoplasm, while that of CCOC is due to the accumulation of cytoplasmic glycogen. Objective: to hypothesize that the scavenger receptor class B-type 1 (SR-B1) protein responsible for HDL cholesterol uptake may be differentially expressed in ccRCC and CCOC, and high CD10 expression in the renal tubular epithelium may assist in distinguishing between ccRCC and CCOC. Methods: effective immunohistochemical markers were applied in 90 cases of renal clear cell carcinoma and 31 cases of ovarian cancer to distinguish between the two types of tumors.Result: SR-B1 and CD10 expression is significantly higher in ccRCC than CCOC. Both SR-B1 and CD10 exhibited focal weak-medium intensity staining in CCOC, and their staining extent and intensity were significantly lower than ccRCC. The sensitivity and specificity of SR-B1 for identifying ccRCC were 74.4% and 83.9%, respectively. The sensitivity and specificity of CD10 for identifying CCOC were 93.3% and 80.6%, respectively. The combined SR-B1( +) CD10( +) immunoprofile supports the diagnosis of ccRCC with a specificity of 93.5%. The combined SR-B1(-) CD10(-) immunoprofile supports the diagnosis of CCOC with a specificity of 93.3%. Conclusions: our findings demonstrate that the combination of SR-B1 and CD10 immunoprofiling is a valuable tool for differential diagnosis of ccRCC and CCOC.
Screening for ATTR amyloidosis in the clinic: overlapping disorders, misdiagnosis, and multiorgan awareness
Authors: Nativi-Nicolau Jose N. , Karam Chafic , Khella Sami , Maurer Mathew S. 
Published: February 2021

AbstractAmyloid transthyretin (ATTR) amyloidosis is a clinically heterogeneous and fatal disease that results from deposition of insoluble amyloid fibrils in various organs and tissues, causing progressive loss of function. The objective of this review is to increase awareness and diagnosis of ATTR amyloidosis by improving recognition of its overlapping conditions, misdiagnosis, and multiorgan presentation. Cardiac manifestations include heart failure, atrial fibrillation, intolerance to previously prescribed antihypertensives, sinus node dysfunction, and atrioventricular block, resulting in the need for permanent pacing. Neurologic manifestations include progressive sensorimotor neuropathy (e.g., pain, weakness) and autonomic dysfunction (e.g., erectile dysfunction, chronic diarrhea, orthostatic hypotension). Non-cardiac red flags often precede the diagnosis of ATTR amyloidosis and include musculoskeletal manifestations (e.g., carpal tunnel syndrome, lumbar spinal stenosis, spontaneous rupture of the distal tendon biceps, shoulder and knee surgery). Awareness and recognition of the constellation of symptoms, including cardiac, neurologic, and musculoskeletal manifestations, will help with early diagnosis of ATTR amyloidosis and faster access to therapies, thereby slowing the progression of this debilitating disease.
An introduction to the special section on the Capability Approach to career guidance
Authors: Robertson Peter J. , Picard France 
Published: February 2021

AbstractThis editorial introduces readers to the Capability Approach to career guidance. It outlines the origins of the approach in the work of economist Amartya Sen, and explains some of its key concepts. The Capability Approach offers a way to think about freedom, justice and well-being that has great relevance to the concerns of career guidance. A brief summary is provided of scholarship adapting the Capability Approach for application to career research, policy and practice. Finally, the four papers in the special section (Egdell & Robertson; Joncas & Pilote; Skovhus; Fuertes et al.) are introduced.
β-Carotene extraction from Dunaliella salina by supercritical CO2
Authors: Ludwig Kristin , Rihko-Struckmann Liisa , Brinitzer Gordon , Unkelbach Gerd , Sundmacher Kai 
Published: February 2021

AbstractThis paper reports the results of supercritical carbon dioxide (scCO2) extraction of β-carotene from Dunaliella salina as potential alternative to conventional organic solvent extraction. In pilot-scale scCO2 experiments, the pressure, temperature, and co-solvent concentration were varied. The supercritical extraction at 500 bar, 70 °C, and 10 wt% ethanol as co-solvent yielded in the highly efficient pigment recovery of over 90%. Techno-economic assessment demonstrated higher energy consumption for the scCO2 extraction that was compensated by lower solvent costs. Thus, comparable pigment production costs to the reference extraction with n-hexane were estimated for the scCO2 process. Due to the green solvent properties of scCO2 and ethanol, this approach is highly promising for extraction of algal biomass in industrial scale.
Elevated ovarian pentraxin 3 in polycystic ovary syndrome
Authors: Pan Jiexue , Zhou Chengliang , Zhou Zhiyang , Yang Zuwei , Dai Tiantian , Huang Hefeng , Jin Li 
Published: February 2021

Abstract
Purpose
Pentraxin 3 (PTX3) plays a crucial role in cumulus expansion and fertilization. The ovarian PTX3 level in polycystic ovary syndrome (PCOS) remains uncertain. In the present study, we investigated the follicular PTX3 levels and found the influence of reproductive hormones on ovarian PTX3 concentration.

Methods
This study was based on 204 healthy-weight women (102 PCOS and 102 normal ovulating subjects) undergoing in vitro fertilization (IVF). Follicular fluid (FF) was collected during oocyte retrieval. The PTX3 levels and other hormone levels in FF samples were analyzed by enzyme-linked immunosorbent assay (ELISA).

Results
The PTX3 level in the follicle was significantly higher in the healthy-weight PCOS women than controls. Positive correlations were found between ovarian PTX3 level and the existence of PCOS, cycle length, basal LH to FSH ratio and TT in serum, antral follicle count, and ovarian insulin and androgen level, and inverse correlations with the basal serum PRL and ovarian SHBG. In multivariant linear regression analysis, the presence of PCOS diagnosis, participants’ basal LH to FSH ratio, and ovarian androstenedione level were the main predictors of ovarian PTX3 level among the enrolled subjects.

Conclusion
Elevated ovarian PTX3 level supports the low-grade chronic inflammatory state in the follicles of PCOS. The existence of PCOS, disturbed pituitary gland, and ovarian hyperandrogenism might also be related to this state of low-grade chronic inflammation and could be a subject of further study.
The Ever-Increasing Array of Novel Inborn Errors of Immunity: an Interim Update by the IUIS Committee
Authors: Tangye Stuart G. , Al-Herz Waleed , Bousfiha Aziz , Cunningham-Rundles Charlotte , Franco Jose Luis , Holland Steven M , Klein Christoph , Morio Tomohiro , Oksenhendler Eric , Picard Capucine , Puel Anne , Puck Jennifer , Seppänen Mikko R. J. , Somech Raz , Su Helen C , Sullivan Kathleen E. , Torgerson Troy R. , Meyts Isabelle 
Published: February 2021

AbstractThe most recent updated classification of inborn errors of immunity/primary immunodeficiencies, compiled by the International Union of Immunological Societies Expert Committee, was published in January 2020. Within days of completing this report, it was already out of date, evidenced by the frequent publication of genetic variants proposed to cause novel inborn errors of immunity. As the next formal report from the IUIS Expert Committee will not be published until 2022, we felt it important to provide the community with a brief update of recent contributions to the field of inborn errors of immunity. Herein, we highlight studies that have identified 26 additional monogenic gene defects that reach the threshold to represent novel causes of immune defects.
Hormonal and Subjectively Perceived Stress of the Emergency Physicians of the Airborne Rescue Service
Authors: Braun Desiree , Theiler Lorenz , Brähler Elmar , Petrowski Katja 
Published: February 2021

AbstractDue to their work activities, emergency physicians are regularly exposed to exceptional mental and physical situations. In order to prevent stress-related illnesses, the triggers of hormonal and subjectively perceived stress must be understood better. On a sample of emergency physicians from two air rescue services (N = 80), the cortisol awakening response (CAR) was determined on flight rescue days, clinic days, and days off. Pearson correlations showed significant connections between the CAR on flight rescue days and individual scales of the Trier Inventory for Chronic Stress (TICS) and the Perceived Stress Scale (PSS). The results indicate that a lower subjective stress level is associated with higher levels of hormonal stress. Stepwise regression analyses showed a significant influence of the number of professional years, subjectively perceived stress, pressure to succeed, and social isolation. The results suggest that the hormonal stress burden of emergency physicians is in a complex relationship with perceived strain.
Mixed Reality Visualization of Radiation Dose for Health Professionals and Patients in Interventional Radiology
Authors: Takata Takeshi , Nakabayashi Susumu , Kondo Hiroshi , Yamamoto Masayoshi , Furui Shigeru , Shiraishi Kenshiro , Kobayashi Takenori , Oba Hiroshi , Okamoto Takahide , Kotoku Jun’ichi 
Published: February 2021

AbstractFor interventional radiology, dose management has persisted as a crucially important issue to reduce radiation exposure to patients and medical staff. This study designed a real-time dose visualization system for interventional radiology designed with mixed reality technology and Monte Carlo simulation. An earlier report described a Monte-Carlo-based estimation system, which simulates a patient’s skin dose and air dose distributions, adopted for our system. We also developed a system of acquiring fluoroscopic conditions to input them into the Monte Carlo system. Then we combined the Monte Carlo system with a wearable device for three-dimensional holographic visualization. The estimated doses were transferred sequentially to the device. The patient’s dose distribution was then projected on the patient body. The visualization system also has a mechanism to detect one’s position in a room to estimate the user’s exposure dose to detect and display the exposure level. Qualitative tests were conducted to evaluate the workload and usability of our mixed reality system. An end-to-end system test was performed using a human phantom. The acquisition system accurately recognized conditions that were necessary for real-time dose estimation. The dose hologram represents the patient dose. The user dose was changed correctly, depending on conditions and positions. The perceived overall workload score (33.50) was lower than the scores reported in the literature for medical tasks (50.60) for computer activities (54.00). Mixed reality dose visualization is expected to improve exposure dose management for patients and health professionals by exhibiting the invisible radiation exposure in real space.
Conditions for CNT – Coated Textile Sensors Applied to Wearable Platforms to Monitor Limb Joint Motion
Authors: Kang Da-Hye , Lee Joo-Hyeon , Lee Jeong-Whan , Cho Hyun-Seung , Park Seon-Hyung , Lee Kang-Hwi , Kang Seung-Jin 
Published: February 2021

AbstractDespite recent research on joint motion measurement to monitor human body movement, current measurement techniques and tools have significant limitations, including requiring large space for measurement and causing discomfort in test subjects wearing motion sensors. Our study aims, first, to develop carbon nanotube (CNT)-based textile joint motion sensors. Second, ours study aims to identify the most suitable CNT-based sensor structure and attachment method for use on a wearable platform during general exercise speeds. Lastly, we used these sensors on the human body, using sleeves and legs to find the most stable location, and we used the CNT-based sensor condition to monitor joint motions. We utilized our CNT-based sensor, which has proper elasticity as well as conductivity, and applied it to the elbow and knee joints. Based on the strain gauge principle, we monitored the variance of electric resistance that occurred when the CNT-based sensor was stretched due to limb motion. Our study tested 48 types of sensors. These sensors were applied to the CNT using different base knit textiles as well as different attachment methods, layers, sensor lengths, and sensor widths. The four most successful sensor types, which showed superior efficacy over the others in joint motion measurement, were selected for further study. These four sensors were then used to measure the elbow and knee joint motions of human subjects by placing them on different locations on sleeves and legs. The CNT knit textile sensors best suited to measuring joint motions are those with a double-layered CNT knit and 5 cm long × 0.5 cm or 1 cm wide sensors attached to a polyester¬-based knit using a welding method. The best position for the sensor to more stably monitor joint motions was the “below hinge position” from the elbow or knee hinge joint. Our study suggests an alternative strategy for joint-motion measurement that could contribute to the development of more comfortable and human-friendly methods of human limb motion measurement.
Practice in Information Technology Support for Fangcang Shelter Hospital during COVID-19 Epidemic in Wuhan, China
Authors: He Qian , Xiao Hui , Li Han-ming , Zhang Bei-bei , Li Cheng-wei , Yuan Fang-jian , Yu Sha-sha , Zhang Fang , Kong Ping 
Published: February 2021

AbstractIn confronting the sudden epidemic of COVID-19, China and other countries have been under great deal of pressure to block virus transmission and reduce death cases. Fangcang shelter hospital, which is converted from large-scale public venue, is proposed and proven to be an effective way for administering medical care and social isolation. This paper presents the practice in information technology support for a Fangcang shelter hospital in Wuhan, China. The experiences include the deployment strategy of IT infrastructure, the redesign of function modules in the hospital information system (HIS), equipment maintenance and medical staff training. The deployment strategy and HIS modules have ensured smoothness and efficiency of clinical work. The team established a quick response mechanism and adhered to the principle of nosocomial infection control. Deployment of network and modification of HIS was finished in the 48 hours before patient admittance. A repair hotline and remote support for equipment and software were available whenever medical workers met with any questions. No engineer ever entered the contaminated areas and no one was infected by the coronavirus during the hospital operation. Up to now, Fangcang shelter hospital is adopted by many regions around the world facing the collapse of their medical systems. This valuable experience in informatization construction and service in Wuhan may help participators involving in Fangcang shelter hospital get better information technology support, and find more practical interventions to fight the epidemic.
Training AI-Based Feature Extraction Algorithms, for Micro CT Images, Using Synthesized Data
Authors: Konnik Matthew , Ahmadi Bahar , May Nicholas , Favata Joseph , Shahbazi Zahra , Shahbazmohamadi Sina , Tavousi Pouya 
Published: February 2021

AbstractX-ray computed tomography (CT) is a powerful technique for non-destructive volumetric inspection of objects and is widely used for studying internal structures of a large variety of sample types. The raw data obtained through an X-ray CT practice is a gray-scale 3D array of voxels. This data must undergo a geometric feature extraction process before it can be used for interpretation purposes. Such feature extraction process is conventionally done manually, but with the ever-increasing trend of image data sizes and the interest in identifying more miniature features, automated feature extraction methods are sought. Given the fact that conventional computer-vision-based methods, which attempt to segment images into partitions using techniques such as thresholding, are often only useful for aiding the manual feature extraction process, machine-learning based algorithms are becoming popular to develop fully automated feature extraction processes. Nevertheless, the machine-learning algorithms require a huge pool of labeled data for proper training, which is often unavailable. We propose to address this shortage, through a data synthesis procedure. We will do so by fabricating miniature features, with known geometry, position and orientation on thin silicon wafer layers using a femtosecond laser machining system, followed by stacking these layers to construct a 3D object with internal features, and finally obtaining the X-ray CT image of the resulting 3D object. Given that the exact geometry, position and orientation of the fabricated features are known, the X-ray CT image is inherently labeled and is ready to be used for training the machine learning algorithms for automated feature extraction. Through several examples, we will showcase: (1) the capability of synthesizing features of arbitrary geometries and their corresponding labeled images; and (2) use of the synthesized data for training machine-learning based shape classifiers and features parameter extractors.
Utilization of Waste Marble Dust in Poly(Lactic Acid)-Based Biocomposites: Mechanical, Thermal and Wear Properties
Authors: Lendvai László , Singh Tej , Fekete Gusztáv , Patnaik Amar , Dogossy Gábor 
Published: February 2021

AbstractThe aim of this present work was to study the applicability of waste marble dust (MD) in poly(lactic acid) (PLA)-based composites. Samples containing up to 20 wt% waste MD were prepared via melt blending. The attention was focused on the investigation of mechanical, morphological, thermal properties and the wear resistance of the PLA/MD composites. Regarding the mechanical properties, both the tensile and the flexural modulus improved remarkably, however, a slight loss was observed in strength and deformability. The impact toughness showed an increasing tendency up to 10 wt% MD loading, which was followed by a marginal decrease at higher concentration. With respect to the sliding wear rate, the composite with the highest MD content showed the best wear resistance. According to the DSC measurements, the MD hampered the chain mobility of PLA, thereby reducing the crystalline ratio. Overall, composites with improved properties were developed, while the reuse of waste MD is expected to reduce the production costs as well.
Survival, growth and photochemical efficiency of silver fir seedlings produced with different technologies
Authors: Robakowski Piotr , Pietrzak Tomasz , Kowalkowski Wojciech , Małecki Grzegorz 
Published: February 2021

AbstractForest tree seedling production technologies impact reforestation success determined with survival and quality of seedlings. Five Abies alba seedling production technologies were tested: (1) bare-root seedling, three years in the open (3/0); (2) bare-root seedling, two years under a shading net (40% of full light), a year in the open (2/g); (3) ball root seedling, two years under a shading net (40%), a year in the open (2/K); (4) bare-root seedling grown in an opening in a Norway spruce stand (3/Pic); (5) bare-root seedling, three years under Scots pine canopy (3/Pin). Silver fir seedlings acclimatized their growth rates to the common growing environment in relation to the seedling production technology used in the nurseries. The height and diameter at root collar were positively correlated with survival. The 3/Pic seedlings manifested the lowest survival and were lower than other seedlings in terms of height and photochemical efficiency. The needle photochemistry of seedlings growing two years in plantation was determined by their earlier acclimation to the nursery light conditions. The production technology determined the ability of A. alba seedlings to acclimatize to the natural environment. Ball root seedlings grown two years in shade and a year in the open (2/K) acclimatized better to the full light environment compared with bare-root seedlings produced in canopy shade, and they are likely more suitable to be planted after clearcutting.
Acculturation and Self-rated Health Among Asian Immigrants: The Role of Gender and Age
Authors: Kim Min Ju , Gorman Bridget K. 
Published: February 2021

AbstractUsing the 2002–2003 National Latino and Asian American Study (NLAAS), we examine the relationship between acculturation and poor-to-fair self-rated health (SRH) among Asian immigrants (N = 1639). Using latent class analysis, we construct a multidimensional measure of acculturation that considers dimensions of involvement in U.S. culture as well as attachment to Asian ethnic cultures and identify three classes of Asian immigrants: the assimilated, who most strongly adhere to U.S. culture; the integrated, who align with both U.S. and Asian ethnic cultures; and the separated, who are almost exclusively attached to Asian ethnic cultures. Logistic regression results revealed that among the pooled sample of Asian immigrant adults, the separated are significantly more likely to report poor-to-fair SRH than the assimilated. We then tested for gender and age differences in the acculturation–SRH relationship, and found that stratifying by gender yields noticeably different patterns. Among Asian immigrant women, the probability of reporting poor-to-fair SRH increases with age for the separated and the integrated, while it declines with age for the assimilated. Conversely, among Asian immigrant men, the probability of reporting poor-to-fair SRH increases most steeply with age for the assimilated, while it is shallower for the separated and the integrated. Future research should continue to develop a dynamic understanding of acculturation and examine its association with other health outcomes, including how these relationships differ across subsets of immigrant groups.
Large deviations for acyclic networks of queues with correlated Gaussian inputs
Authors: Zubeldia Martin , Mandjes Michel 
Published: February 2021

AbstractWe consider an acyclic network of single-server queues with heterogeneous processing rates. It is assumed that each queue is fed by the superposition of a large number of i.i.d. Gaussian processes with stationary increments and positive drifts, which can be correlated across different queues. The flow of work departing from each server is split deterministically and routed to its neighbors according to a fixed routing matrix, with a fraction of it leaving the network altogether. We study the exponential decay rate of the probability that the steady-state queue length at any given node in the network is above any fixed threshold, also referred to as the ‘overflow probability’. In particular, we first leverage Schilder’s sample-path large deviations theorem to obtain a general lower bound for the limit of this exponential decay rate, as the number of Gaussian processes goes to infinity. Then, we show that this lower bound is tight under additional technical conditions. Finally, we show that if the input processes to the different queues are nonnegatively correlated, non-short-range dependent fractional Brownian motions, and if the processing rates are large enough, then the asymptotic exponential decay rates of the queues coincide with the ones of isolated queues with appropriate Gaussian inputs.