bluuebunny/crossref_metadata_2025_split huggingface dataset:
T‐Cell Immunoglobulin and Mucin Domain‐Containing Protein‐4 Is Critical for Kupffer Cell Homeostatic Function in the Activation and Resolution of Liver Ischemia Reperfusion Injury
Authors: Ni Ming , Zhang Jing , Sosa Rebecca , Zhang Hanwen , Wang Han , Jin Dan , Crowley Kaitlyn , Naini Bita , Reed F. Elaine , Busuttil Ronald W. , Kupiec‐Weglinski Jerzy W. , Wang Xuehao , Zhai Yuan 
Published: May 2021

Background and Aims
Liver ischemia reperfusion injury (IRI) remains an unresolved clinical problem. This study dissected roles of liver‐resident macrophage Kupffer cells (KCs), with a functional focus on efferocytosis receptor T‐cell immunoglobulin and mucin domain‐containing protein‐4 (TIM‐4), in both the activation and resolution of IRI in a murine liver partial warm ischemia model.

Approach and Results
Fluorescence‐activated cell sorting results showed that TIM‐4 was expressed exclusively by KCs, but not infiltrating macrophages (iMФs), in IR livers. Anti‐TIM‐4 antibody depleted TIM‐4+ macrophages in vivo, resulting in either alleviation or deterioration of liver IRI, which was determined by the repopulation kinetics of the KC niche with CD11b+ macrophages. To determine the KC‐specific function of TIM‐4, we reconstituted clodronate‐liposome–treated mice with exogenous wild‐type or TIM‐4‐deficient KCs at either 0 hour or 24 hours postreperfusion. TIM‐4 deficiency in KCs resulted in not only increases in the severity of liver IRI (at 6 hours postreperfusion), but also impairment of the inflammation resolution (at 7 days postreperfusion). In vitro analysis revealed that TIM‐4 promoted KC efferocytosis to regulate their Toll‐like receptor response by up‐regulating IL‐10 and down‐regulating TNF‐α productions.

Conclusions
TIM‐4 is critical for KC homeostatic function in both the activation and resolution of liver IRI by efferocytosis.
BiasCorrector: Fast and accurate correction of all types of experimental biases in quantitative DNA methylation data derived by different technologies
Authors: Kapsner Lorenz A. , Zavgorodnij Mikhail G. , Majorova Svetlana P. , Hotz‐Wagenblatt Agnes , Kolychev Oleg V. , Lebedev Igor N. , Hoheisel Jörg D. , Hartmann Arndt , Bauer Andrea , Mate Sebastian , Prokosch Hans‐Ulrich , Haller Florian , Moskalev Evgeny A. 
Published: May 2021

AbstractQuantification of DNA methylation in neoplastic cells is crucial both from mechanistic and diagnostic perspectives. However, such measurements are prone to different experimental biases. Polymerase chain reaction (PCR) bias results in an unequal recovery of methylated and unmethylated alleles at the sample preparation step. Post‐PCR biases get introduced additionally by the readout processes. Correcting the biases is more practicable than optimising experimental conditions, as demonstrated previously. However, utilisation of our earlier developed algorithm strongly necessitates automation. Here, we present two R packages: rBiasCorrection, the core algorithms to correct biases; and BiasCorrector, its web‐based graphical user interface frontend. The software detects and analyses experimental biases in calibration DNA samples at a single base resolution by using cubic polynomial and hyperbolic regression. The correction coefficients from the best regression type are employed to compensate for the bias. Three common technologies—bisulphite pyrosequencing, next‐generation sequencing and oligonucleotide microarrays—were used to comprehensively test BiasCorrector. We demonstrate the accuracy of BiasCorrector's performance and reveal technology‐specific PCR‐ and post‐PCR biases. BiasCorrector effectively eliminates biases regardless of their nature, locus, the number of interrogated methylation sites and the detection method, thus representing a user‐friendly tool for producing accurate epigenetic results.
Identification of calmodulin‐like protein 5 as tumor‐suppressor gene silenced during early stage of carcinogenesis in squamous cell carcinoma of uterine cervix
Authors: Kitazawa Sohei , Takaoka Yuki , Ueda Yasuo , Kitazawa Riko 
Published: May 2021

AbstractIn the course of identifying the molecular mechanism that is related to strong cell‐cell adhesion in stratified structures of the squamous epithelium, calmodulin‐like protein 5 (CALML5) was identified as a spinous structure‐associated protein by producing monoclonal antibodies with the use of the crude intercellular portion of squamous tissue as an immunogen and by subsequent morphologic screening. By electrophoretic mobility shift assay (EMSA) and a series of mutagenesis studies, two transcription factors, ZNF750 and KLF4, by binding in line to the CALML5 gene promoter, were found to play a central role in CALML5 transcription. Knockdown of CALML5 by siRNA in the A431 cell line that expresses high levels of CALML5 resulted in the acceleration of wound confluence in a scratch assay, indicating that CALML5 functions as a tumor‐suppressor in uterine cervical cancer. Immunohistochemical evaluation of squamous intraepithelial lesions, carcinoma in situ (CIS) and invasive uterine cancer, revealed a reduction in CALML5 expression during the stages of CIS through various molecular pathways including the blockage of the nuclear translocation of KLF4. Conversely, restoration of the nuclear translocation of KLF4 by inhibiting ERK‐signaling reactivated CALML5 expression in ME180 cells expressing low levels of CALML5. Thus, alteration of the p63‐ZNF750‐KLF4 axis may result in critical functional loss of CALM‐related genes during cancer progression. Although the morphological association of CALML5 with the spiny‐structure in relation to cell motility is not clear, evaluation of CALML5 expression provides a useful diagnostic indicator of differentiating dysplasia, preinvasive and invasive cervical cancers.
NTEP‐DB 1.0: A relational database for the national turfgrass evaluation program
Authors: Xie Yiqun , Farhadloo Majid , Guo Ning , Shekhar Shashi , Watkins Eric , Kne Len , Bao Han , Patton Aaron J. , Morris Kevin 
Published: May 2021

AbstractGiven field experiment data collected by the National Turfgrass Evaluation Program (NTEP), we aim to design and create a relational database to store the data and support efficient queries. As one of the most widely‐known turfgrass research programs in the world, NTEP has generated large volumes of data on turfgrass cultivars and experimental germplasm since the early 1980s, providing invaluable information for a variety of user groups (e.g., homeowners, seed companies, golf course managers, retailers, turfgrass researchers) to select cultivars that best fit their needs (e.g., winter survival, pest tolerance, turf quality). The datasets have historically been stored in large sets of text files and spreadsheets. Currently, NTEP data are delivered to users through a website (www.ntep.org) as summary reports and it can be extremely tedious (e.g., hundreds of clicks, data merging, jargon) to perform a simple query (e.g., best cultivar selection with typical conditions). This significantly limits the use of NTEP data and hides its value from the public. To address these limitations, we carried out an interdisciplinary effort with horticulture and computer science researchers to design and create the first NTEP database – NTEP‐DB 1.0 – to reduce the manual efforts and expert knowledge currently required to extract meaningful information from the data. Experiments confirm that the query results are correct, and that the database can greatly reduce manual efforts. Anticipating next‐generation advances, we also recommend incorporating spatial data types and analytical techniques into future designs of the database.
Fast denoising and lossless spectrum extraction in stimulated Raman scattering microscopy
Authors: Li Yanping , Shen Binglin , Zou Gengjin , Wang Shiqi , Qu Junle , Hu Rui , Liu Liwei 
Published: May 2021

AbstractStimulated Raman scattering (SRS) microscopy is a nonlinear optical imaging method for visualizing chemical content based on molecular vibrational bonds. However, the imaging speed and sensitivity are currently limited by the noise of the light beam probing the Raman process. In this paper, we present a fast non‐average denoising and high‐precision Raman shift extraction method, based on a self‐reinforcing signal‐to‐noise ratio (SNR) enhancement algorithm, for SRS spectroscopy and microscopy. We compare the results of this method with the filtering methods and the reported experimental methods to demonstrate its high efficiency and high precision in spectral denoising, Raman peak extraction and image quality improvement. We demonstrate a maximum SNR enhancement of 10.3 dB in fixed tissue imaging and 11.9 dB in vivo imaging. This method reduces the cost and complexity of the SRS system and allows for high‐quality SRS imaging without use of special laser, complicated system design and Raman tags.
The impact of community care: Burden and quality of life of the informal caregivers of patients with severe mental disorder
Authors: Estrada‐Fernández María Eugenia , Gil‐Lacruz Marta , Gil‐Lacruz Ana I. , Viñas‐López Antonio 
Published: May 2021

AbstractThis study analyzes the dimensions and consequences of the burden of caregivers of patients with SMD (Severe Mental Disorder) and the repercussions that this role has on their quality of life and health in the physical, psychic and social spheres. This is a descriptive cross‐sectional study and inferential observational study which explores caregivers of patients with SMD admitted to Psychiatry Day Hospital (Huesca, Spain). The technique of consecutive cases was used as a technique for sampling and sample selection. An individualized interview was arranged, where sociodemographic data were collected and scales and instruments were administered. 52 caregivers met the inclusion criteria. The female sex predominates (67%), being the patient's mother (48%). The average age of caregivers is 60 years old. Almost 60% of the sample presents intense burden and alterations of general mental health, 77% reveal anxiety and depression, and 46% little social support. Burden is associated with hospitalization within the last year, anxiety, or total social support received. It is appreciated how the diagnosis of a chronic disease constitutes an important challenge for the patient and their family, due to the burden of the disease and the impact of the new routines imposed by the continuous treatment.
Assessing readiness to manage medical emergencies among dental students at four dental schools
Authors: Solanki Charmi , Geisinger Maria L. , Luepke Paul G. , Al‐Bitar Kinan , Palomo Leena , Lee Wangsoo , Blanchard Steven , Shin Daniel , Maupome Gerardo , Eckert George J. , John Vanchit 
Published: May 2021

AbstractBackground and PurposeDentists treat a wide range of patients, including patients with compromised health conditions. While rendering treatment, various medical emergencies can and do occur. To help increase the knowledge required to manage such emergencies, dental students must be trained while in dental school. This study aims to assess the level of medical emergency preparedness and knowledge among dental students at four dental schools.Material and MethodsThe participating dental schools were IUSD, Case Western Reserve University School of Dentistry, Marquette University School of Dentistry, and the University of Alabama School of Dentistry. Groups were designed to include 20 dental students from Years 1 to 4. Students were asked to fill out a survey and were then tested on 10 clinical medical emergency scenarios.ResultsA total of 331 dental students participated in the study. The scores based on 10 case scenarios presented with a range of 4.35–8.02. There was no statistically significant difference in the level of preparedness when dental schools were compared. However, Year 1 and Year 2 dental students had significantly lower total scores than those of Years 3 and 4. The students in Years 1 and 2 demonstrated less confidence in their current knowledge to manage medical emergencies. Satisfaction with the training received ranged from 38% to 84%.ConclusionThe results from this study indicate that students’ preparedness to manage medical emergencies at these four dental schools is statistically similar. Additional yearly training could enhance students’ preparedness in the management of medical emergencies in the dental setting.
Trends in oral and maxillofacial radiology career: A survey
Authors: Pacheco‐Pereira Camila , Diogenes Anibal R. , Moore Willian , Katkar Rujuta , Noujeim Ziad E. F. , Flores‐Mir Carlos , Geha Hassem 
Published: May 2021

AbstractPurpose/ObjectivesTo understand the professional aspirations of oral and maxillofacial radiologists (OMRs) by exploring their career choices and their association with educational background, engagement in professional activities, professional values, and overall level of career satisfaction.MethodsThis prospective cross‐sectional study surveyed board‐certified OMRs in the United States and Canada from September to December 2019. A web‐based questionnaire was created comprising 37 multiple‐choice questions and an open‐ended question focusing on their opinions regarding the profession's future. A thematic approach qualitatively explored open questions.ResultsOf the 86 OMRs, 68, 10, and eight were board certified in the United States, Canada, and both countries, respectively. Activities considered "rewarding" included teaching and mentoring (65%) and radiologic reporting (55%). The majority spent approximately 20–30 h/week writing radiographic reports and less than 10 h in research. On an average, OMRs produced 21.9 (SD 12.8) reports per day. Activities considered less rewarding included administrative work (11%) and productivity pressure in institutions. OMRs working in academia reported higher incomes (p < 0.05). Finally, the majority of the OMRs were pleased with their career choices (79%).ConclusionsThere is an association between the contemporary OMRs' satisfaction feeling, teaching/mentoring, and the future challenges of participating in multidisciplinary teams. Overall, diverse career choices lead OMRs to be proud of their profession and significantly satisfied.
Quantity and Morphology of Perivascular Spaces: Associations With Vascular Risk Factors and Cerebral Small Vessel Disease
Authors: Wang Shuyue , Huang Peiyu , Zhang Ruiting , Hong Hui , Jiaerken Yeerfan , Lian Chunfeng , Yu Xinfeng , Luo Xiao , Li Kaicheng , Zeng Qingze , Xu Xiaopei , Yu Wenke , Wu Xiao , Zhang Minming 
Published: May 2021

BackgroundPerivascular spaces (PVSs) are important component of the brain glymphatic system. While visual rating has been widely used to assess PVS, computational measures may have higher sensitivity for capturing PVS characteristics under disease conditions.PurposeTo compute quantitative and morphological PVS features and to assess their associations with vascular risk factors and cerebral small vessel disease (CSVD).Study TypeProspective.PopulationOne hundred sixty‐one middle‐aged/later middle‐aged subjects (age = 60.4 ± 7.3).Sequence3D T1‐weighted, T2‐weighted and T2‐FLAIR sequences, and susceptibility‐weighted multiecho gradient‐echo sequence on a 3 T scanner.AssessmentAutomated PVS segmentation was performed on sub‐millimeter T2‐weighted images. Quantitative and morphological PVS features were calculated in white matter (WM) and basal ganglia (BG) regions, including volume, count, size, length (Lmaj), width (Lmin), and linearity. Visual PVS scores were also acquired for comparison.Statistical TestsSimple and multiple linear regression analyses were used to explore the associations among variables.ResultsWM‐PVS visual score and count were associated with hypertension (β = 0.161, P < 0.05; β = 0.193, P < 0.05), as were BG‐PVS rating score, volume, count and Lmin (β = 0.197, P < 0.05; β = 0.170, P < 0.05; β = 0.200, P < 0.05; β = 0.172, P < 0.05). WM‐PVS size was associated with diabetes (β = 0.165, P < 0.05). WM‐PVS and BG‐PVS were associated with CSVD markers, especially white matter hyperintensities (WMHs) (P < 0.05). Multiple regression analysis showed that WM/BG‐PVS quantitative measures were widely associated with vascular risk factors and CSVD markers (P < 0.05). Morphological measures were associated with WMH severity in WM region and also associated with lacunes and microbleeds (P < 0.05) in BG region.Data ConclusionThese novel PVS measures may capture mild PVS alterations driven by different pathologies.Evidence Level2Technical EfficacyStage 2
A robust predictive feedback FPID controller using elephant herd virtual inertia optimization control algorithm in Islanded microgrid
Authors: Bose R. Bibin , Auxillia D. Jeraldin 
Published: May 2021

AbstractDue to load shedding, circumvent equipment damage, and possible power outages in the electric power system. The continuity of power supply under the Islanded mode of operation in microgrid creates shrink in the power of the tie‐line, and frequency oscillation in the event of small load perturbations. Hence, there needs a sufficient capacity of distributed energy resources, proper power management, and a grid dynamic behavior to satisfy the load demand. Therefore, in this paper, an intelligent predictive feedback fuzzy controller (PFF) together with a conventional proportional–integral–derivative (PID) controller (PFFPID) using hybrid elephant herd virtual inertia (EVI) control optimization algorithm is proposed. The proposed controller is designed to optimize the operation based on considering the uncertainties of the grid situation in terms of weather conditions, energy backup capacity, and load profile. The three inputs provided to PFF are renewable power, battery power, and load power, as a membership function in different forms to find the power variation in terms of voltage, frequency, and current. Then to estimate the gain of each output power, the PID controller is used. The purpose of the EVI algorithm is used as a controller optimization algorithm to tune the PFFPID controller to compensate the load based on generated power to meet the load demand. Finally, the simulation is performed with several existing controllers and the result indicates that the proposed controller is robust with respect to random load perturbations and change in the parameter.
Commentaries on “The Lenses of Lean”
Authors: Cusumano Michael A. , Holweg Matthias , Howell Josh , Netland Torbjørn , Shah Rachna , Shook John , Ward Peter , Womack James 
Published: May 2021

AbstractThe phenomenon of the Toyota Production System (TPS) and the term “Lean” have received much attention from researchers and especially practitioners over the past 40 years. As scholarly perspectives on these topics continue to evolve, we invited Wally Hopp and Mark Spearman to contribute an essay to the JOM Forum that became “The Lenses of Lean,” and we invited several other prominent authors affiliated with Lean to react to that article and share their perspectives on Lean. We are delighted to have received four such contributions, which we have assembled here with the hope of furthering this important conversation (Note: For consistency of exposition, we have capitalized the term “Lean” throughout these commentaries when it is used in the phenomenological sense). —Tyson Browning and Suzanne de Treville
Effect of drying methods on drying kinetics, energy features, thermophysical and microstructural properties of Stevia rebaudiana leaves
Authors: Lemus‐Mondaca Roberto , Zura‐Bravo Liliana , Ah‐Hen Kong , Di Scala Karina 
Published: May 2021

AbstractBACKGROUNDStevia leaves were subjected to convective hot‐air, infrared and vacuum drying at 40, 60 and 80 °C, followed by an assessment of thermophysical properties and microstructure, along with drying kinetics modelling and evaluation of energy features for all drying operations.RESULTSEffective moisture diffusivity (Deff) showed dependency on temperature with values ranging from 1.08 × 10−12 to 7.43 × 10−12 m2 s−1 for convective drying, from 0.71 × 10−12 to 6.60 × 10−12 m2 s−1 for infrared drying, and from 1.29 × 10−12 to 5.39 × 10−12 m2 s−1 for vacuum drying. The thermal properties of the dried Stevia leaves under different drying conditions showed values of density, specific heat, thermal diffusivity, thermal conductivity and thermal effusivity ranging from 95.6 to 116.2 kg m−3, 3050 to 3900 J kg−1 K−1, 4.28 × 10−7 to 5.60 × 10−7 m2 s−1, 0.16 to 0.23 W m−1 K−1 and 244 to 305 W s0.5 m−2 K−1, respectively. As for microstructure, convective hot‐air drying showed better preserved leaf characteristics, compared to infrared‐ and vacuum‐drying, whereby scanning electron microscopy (SEM) image analysis also revealed noticeable differences at higher temperatures. Statistical analysis showed that the Midilli–Kuçuk model fitted best the experimental data of drying curves (0.961 < r2 < 0.999, 0.000064 < SSE < 0.005359, and 0.000074 < χ2 < 0.006278). Comparison of the drying methods with respect to energy features showed that convective drying at 80 °C led to lowest specific energy consumption (61.86 kW h kg−1) with highest efficiency (8.5%).CONCLUSIONThe results of this study contribute to a better understanding of the drying behaviour and showed that thermophysical properties of dried Stevia leaves and energy features are affected by drying methods. © 2021 Society of Chemical Industry.
Improving the urban heritage based on a tourism risk assessment using a hybrid fuzzy MADM method: The case study of Tehran's central district
Authors: Hosseini Ali , Pourahmad Ahmad , Ayashi Athareh , Tzeng Gwo‐Hshiung , Banaitis Audrius , Pourahmad Atiyeh 
Published: May 2021

AbstractA primary reason for the failure of renewal plans for the heritage of urban areas is ignorance of the risk factors of tourism. Urban heritage sites are valuable tourism resources and focus on tourism activities. These sites are affected by risks and negative events. Assessing tourism risks requires an in‐depth knowledge of the current situation. Thus, in order to reduce the risk of tourism on urban heritage, it is necessary to assess the risk of tourist destinations. This study assesses the urban heritage of central districts in Tehran with an emphasis on tourism risk as a real case study. This study provides an in‐depth review of the dimensions and criteria for evaluating tourism risks from the perspectives of social culture, environment, finance, safety and security. Fourteen criteria developed on the basis of the fuzzy decision‐making trial and evaluation laboratory (FDEMATEL) method are adopted for this assessment to construct the fuzzy influential network relation map and find the fuzzy influential weights; this is known as the DEMATEL‐based analysis network process (called DANP). The hybrid modified fuzzy VIKOR method is adopted to evaluate and reduce the tourism risk towards for closing the gap zero. Finally, an empirical case of Tehran city illustrates the availability and effectiveness of the proposed methods. The results revealed that safety and security risks have the greatest influence. The remaining dimensions are sociocultural, financial, and environmental risks. According to the model and the results of the risk assessment in tourism, this method is a reasonable solution for the assessment and risk analysis in real‐world problems. The proposed method can be a useful tool for managers in tourism and urban planning.