Miracle-dz/UniFAR-FTUs huggingface dataset:
Shortening Quasi-Static Time-Series Simulations for Cost-Benefit Analysis of Low Voltage Network Operation with Photovoltaic Feed-In

Executing quasi-static time-series simulations is time consuming, especially when yearly simulations are required, for example, for cost-benefit analyses of grid operation strategies. Often only aggregated simulations outputs are relevant to grid planners for assessing grid operation costs. Among them are total network losses and power exchange through MV/LV substation transformers. In this context it can be beneficial to explore alternatives to running quasi-static time-series simulations with complete input data that can produce the results of interest with high accuracy but in less time. This paper explores two methods for shortening quasi-static time-series simulations through reducing the amount of input data and thus the required number of power flow calculations; one is based on downsampling and the other on vector quantization. The results show that execution time reductions and sufficiently accurate results can be obtained with both methods, but vector quantization requires considerably less data to produce the same level of accuracy as downsampling. In particular, when the simulations consider voltage control or when more than one simulation with the same input data is required, vector quantization delivers a far superior trade-off between data reduction, time savings, and accuracy. However, the method does not reproduce peak values in the results accurately. This makes it less precise, for example, for detecting voltage violations. Keywords—Power flow calculation, quasi-static time-series, vector quantization, PV generation.
Fault Diagnosis for a Booster Pump Unit

Condition monitoring and diagnostic engineering is a course that is well recognized by academics. It is offered to students across the globe who want exposure to instrumentation, data acquisition and processing. This paper introduces the technique of condition monitoring to budding engineers, from its conception to the present state of development, through a case study. An experimental investigation is highlighted in which the vibration condition of booster pump unit is monitored; the unit is a part of boiler feed pump train of a large thermal power plant. The booster pump is driven by a 3500 kW, 1440 rpm motor. The motor, along with the booster pump, is supported by four bearings. Tri-axial measurements were made at the bearing supports for 12 months. Root mean square values of displacement and velocity were measured along the horizontal, vertical and axial directions. The experimental data are plotted on a time domain for graphical analysis. Based on the experimental data, faults are diagnosed using ISO standards and causes are predicted. It is observed that the front and rear bearings of the booster pump experienced excess vibration. The work is concluded by way of suggesting remedial measures to ensure the vibration intensity at the said points falls within safe limits.
Application of deep learning in teeth identification tasks on orthopantomograms.

OBJECTIVES To investigate the current developments of Artificial Intelligence (AI) in teeth identification on Panoramic Radiographs (PR). Our aim was to evaluate and compare the performances of Deep Learning (DL) models that have been employed in the execution of this task. METHODS The systematic review was registered on PROSPERO (Reg. No.: CRD42021249627). All recent studies that utilized DL models for identifying teeth on PRs were included in this review. An extensive search of the medical electronic databases including, PubMed NLM, EBSCO Dentistry & Oral Sciences Source, and Wiley Cochrane Library were conducted. This was followed by a hand search of the IEEE Xplore database. The diagnostic performance of DL models in teeth identification tasks on PR was the primary outcome assessed in this review. The risk of bias assessment of the included studies was evaluated via the modified QUADAS-2 tool. Owing to the heterogeneity of the reported performance metrics, a meta-analysis was not possible. RESULTS The search yielded a total of 282 articles, out of which 13 relevant ones were included in this review. These studies utilized a diverse range of DL models for teeth identification tasks on PRs and reported their performances using a variety of metrics. CONCLUSION The results of teeth identification tasks carried out by DL models are encouraging; however, there is a need for the shortcomings that have been identified in our preliminary review, to be addressed by future researchers.
Metachronous occurrence of main-duct intraductal papillary mucinous neoplasm (IPMN) and adenocarcinoma in a chronic pancreatitis patient

Abstract Rationale: Chronic pancreatitis (CP) is a risk factor for developing pancreatic ductal adenocarcinoma (PDAC). In addition, a patient with partial pancreatectomy for intraductal papillary mucinous neoplasm (IPMN) can also lead to PDAC. In contrast, IPMN is a distinct disease entity, independent of CP, and there have been few reports that CP is the cause of IPMN. To the best of our knowledge, this is the first clinical case report of the metachronous occurrence of main-duct IPMN and PDAC with a 9 and half-year interval in a patient with chronic alcoholic pancreatitis. Patient concerns: A 50-year-old man with a long medical history of recurrent alcoholic pancreatitis and hepatitis over a decade was diagnosed with another episode of acute pancreatitis based on laboratory findings and clinical symptoms. The patient underwent pylorus-preserving pancreaticoduodenectomy (PPPD) for a small nodular lesion in the main duct of the pancreatic head and was diagnosed with main-duct IPMN low-grade dysplasia and associated fibrosing CP. Nine and a half years later, a 59-year-old man lost 7 kg over 3 months and was diagnosed with new-onset diabetes mellitus. Diagnosis: The patient was diagnosed with metachronous, well-differentiated PDAC with concomitant CP. Interventions: The patient underwent radical antegrade modular pancreatosplenectomy (RAMPS) for a small nodular mass in the remnant pancreas. Outcomes: The patient was healthy for 44 months without evidence of tumor recurrence during clinical follow-up examinations including laboratory findings, tumor marker, and imaging studies. Lessons: Early diagnosis of metachronous pancreatic neoplasia in a patient with chronic pancreatitis could be made by correlating newly developed clinical symptoms and signs with careful radiological examinations.
A Network Robot System for Cooperative Guide Service in a Shopping Mall

In this paper, we report a field trial with a network robot system in a shopping mall. Our network robot system consists of three components: environmental sensors, network robot platform and social robots. Multiple laser range finders are used as the environmental sensors to estimate people's positions. Position data is used to estimate such human walking behaviors as “stopping” or “idle walking,” to direct robots to provide appropriate tasks to appropriate people. By using this information, the network robot platform coordinates multiple social robots to provide efficient service to customers. It coordinates the tasks of robots based on their positions and people's walking behavior, the paths of robots, and the conversation-performance between two robots. Each social robot interacts with people to provide recommendation information about shops and route information of the mall. The system sometimes simultaneously uses two robots to lead people from one place to the specific shop. We conducted a field trial in a shopping mall, in which four robots interacted with 414 people. It demonstrated the effectiveness of the network robot system for guiding people around a shopping mall as well as increasing their interest.
“They are Assuming That We are Going to Accuse Them of Rape, and We are Assuming That They are Going to Rape us”: A Developmental Perspective on Emerging Adults’ Consent Conversations Post #MeToo

Prevalence of sexual assault remains high on American college campuses, and sexual consent education is lacking within school-based sexual health education programming. Much empirical research has aimed to reduce sexual violence through a deeper understanding of college students’ perceptions of sexual consent. However, researchers have not yet examined the impact of broader social discourse, such as that initiated by the #MeToo movement, on emerging adults’ conceptualizations of sexual consent. Gendered focus groups were conducted with 34 college students at a large midwestern university in spring of 2019. Qualitative analyses using a phenomenological framework revealed a developmental process of consent education shaped by socialized sexual scripts and public discourse of the #MeToo movement. Four distinct themes emerged: (1) Introductions to Consent in Childhood, (2) Lack of Sexual Consent Education in Adolescence, (3) The Nuanced College Context, and (4) Consent in the Era of #MeToo. Findings reveal that consent is introduced in childhood, outside the context of sexuality, but is generally not revisited within the context of sexual consent by parents or educators during adolescence, leaving media messaging and socialized sexual scripts to serve as guides for sexual consent. This lack of sexual consent education in adolescence then leaves emerging adults unprepared for nuanced sexual experiences in the college context and unable to critically engage with public discourse surrounding consent such as the #MeToo movement, which has caused both fearful and positive outcomes. Findings support the need for earlier and more comprehensive education about sexual consent in childhood and adolescence and the need for college sexual assault prevention programs to include further instruction on navigating ambiguous sexual consent experiences.
Clinical Characteristics and Etiology of Community-acquired Pneumonia in US Children, 2015–2018

Background: Pneumonia has a major impact on childhood health and health care costs. This study was designed to obtain contemporary information on the clinical characteristics and etiology of community-acquired pneumonia (CAP) in children from both inpatient and outpatient settings in the USA. Methods: We conducted a prospective, multicenter, observational study of CAP among previously healthy children 2 months to 18 years of age in 6 children’s hospitals in Ohio from 2015 to 2018. For pathogen detection, nasopharyngeal swabs were collected from all subjects. Blood and pleural fluid cultures were available per standard of care. Results: We enrolled a convenience sample of 441 patients: 380 hospitalized and 61 outpatients. Tachypnea and radiologic findings of consolidation and pleural effusion were more frequent among inpatients than outpatients. A pathogen was detected in 64.6% of patients: viruses in 55.6%, atypical bacteria in 8.8% and pyogenic bacteria in 4.3%. Eighteen (4.1%) patients had both viruses and bacteria detected. Rhinovirus/enterovirus (RV; 18.6%) and respiratory syncytial virus (RSV; 16.8%) were the viruses most frequently detected, and Mycoplasma pneumoniae (8.2%) and Streptococcus pneumoniae (2.3%) were the most common bacteria. Except for S. pneumoniae, which was identified more frequently in inpatients, there were no significant differences between inpatients and outpatients in the proportions of children with specific pathogens detected. Conclusions: Rhinovirus/enterovirus and RSV among viruses and M. pneumoniae and S. pneumoniae among bacteria were the most common pathogens detected in children with CAP. Tachypnea and chest radiographs with consolidation and/or pleural effusion were associated with hospitalization.
Orally consumed ginger and human health: an umbrella review

ABSTRACT Background Emerging evidence supports the health benefits of ginger for a range of conditions and symptoms; however, there is a lack of synthesis of literature to determine which health indications are supported by quality evidence. Objectives In this umbrella review of systematic reviews we aimed to determine the therapeutic effects and safety of any type of ginger from the Zingiber family administered in oral form compared with any comparator or baseline measures on any health and well-being outcome in humans. Methods Five databases were searched from inception to April 2021. Review selection and quality were assessed in duplicate using the Assessment of Multiple Systematic Reviews–2 (AMSTAR-2) checklist and the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) method, with results presented in narrative form. Results Twenty-four systematic reviews were included with 3% overlap of primary studies. The strongest evidence was found for the antiemetic effects of ginger in pregnant women (effect size: large; GRADE: high), analgesic effects for osteoarthritis (effect size: small; GRADE: high), and glycemic control (effect size: none to very large; GRADE: very low to moderate). Ginger also had a statistically significant positive effect on blood pressure, weight management, dysmenorrhea, postoperative nausea, and chemotherapy-induced vomiting (effect size: moderate to large; GRADE: low to moderate) as well as blood lipid profile (effect size: small; GRADE: very low) and anti-inflammatory and antioxidant biomarkers (effect size: unclear; GRADE: very low to moderate). There was substantial heterogeneity and poor reporting of interventions; however, dosage of 0.5–3 g/d in capsule form administered for up to 3 mo was consistently reported as effective. Conclusions Dietary consumption of ginger appears safe and may exert beneficial effects on human health and well-being, with greatest confidence in antiemetic effects in pregnant women, analgesic effects in osteoarthritis, and glycemic control. Future randomized controlled and dose-dependent trials with adequate sample sizes and standardized ginger products are warranted to better inform and standardize routine clinical prescription.
Characterization of phenotypes of skeletal Class III malocclusion in Korean adult patients treated with orthognathic surgery using cluster analysis.

OBJECTIVES To characterize the phenotypes of skeletal Class III malocclusion in adult patients who underwent orthognathic surgery (OGS). MATERIALS AND METHODS The sample consisted of 326 patients with Class III malocclusion treated with OGS (170 men and 156 women; mean age, 22.2 years). Using lateral cephalograms taken at initial visits, 13 angular variables and one ratio cephalometric variable were measured. Using three representative variables obtained from principal components analysis (SNA, SNB, and Björk sum), K-means cluster analysis was performed to classify the phenotypes. Statistical analysis was conducted to characterize the differences in the cephalometric variables among the clusters. RESULTS Class III phenotypes were classified into nine clusters from the following four major groups: (1) retrusive maxilla group, clusters 7 and 9 (7.1% and 5.5%; severely retrusive maxilla, normal mandible, severe and moderate hyperdivergent, respectively) and cluster 6 (9.2%; retrusive maxilla, normal mandible, normodivergent); (2) relatively protrusive mandible group, cluster 2 (20.9%; normal maxilla, normal mandible, hyperdivergent); (3) protrusive mandible group, clusters 3 and 1 (11.7% and 15.3%; normal maxilla, protrusive mandible, normodivergent and hyperdivergent, respectively) and clusters 8 and 4 (15.3% and 3.7%; normal maxilla, severe protrusive mandible, normodivergent and hypodivergent, respectively); and (4) protrusive maxilla and protrusive mandible group, cluster 5 (11.4%; protrusive maxilla, severely protrusive mandible, normodivergent). Considerations for presurgical orthodontic treatment and OGS planning were proposed based on the Class III phenotypes. CONCLUSIONS Because the anteroposterior position of the maxilla and rotation of the mandible by a patient's vertical pattern determine Class III phenotypes, these variables should be considered in diagnosis and treatment planning for patients who have skeletal Class III malocclusion.
Micrometer‐Sized SiMgyOx with Stable Internal Structure Evolution for High‐Performance Li‐Ion Battery Anodes

In recent years, micrometer‐sized Si‐based anode materials have attracted intensive attention in the pursuit of energy‐storage systems with high energy and low cost. However, the significant volume variation during repeated electrochemical (de)alloying processes will seriously damage the bulk structure of SiOx microparticles, resulting in rapid performance fade. This work proposes to address the challenge by preparing in situ magnesium‐doped SiOx (SiMgyOx) microparticles with stable structural evolution against Li uptake/release. The homogeneous distribution of magnesium silicate in SiMgyOx contributes to building a bonding network inside the particle so that it raises the modulus of lithiated state and restrains the internal cracks due to electrochemical agglomeration of nano‐Si. The prepared micrometer‐sized SiMgyOx anode shows high reversible capacities, stable cycling performance, and low electrode expansion at high areal mass loading. A 21700 cylindrical‐type cell based on the SiMgyOx‐graphite anode and LiNi0.8Co0. 15Al0.05O2 cathode demonstrates a 1000‐cycle operation life using industry‐recognized electrochemical test procedures, which meets the practical storage requirements for consumer electronics and electric vehicles. This work provides insights on the reasonable structural design of micrometer‐sized alloying anode materials toward realization of high‐performance Li‐ion batteries.
Effect of heterogeneous substrate adhesivity of follower cells on speed and tension profile of leader cells in primary keratocyte collective cell migration

ABSTRACT In single keratocyte motility, membrane tension is reported to be high at cell-fronts and believed to establish front coherence. To understand role of membrane mechanics in collective cell migration, we study membrane height fluctuations in cell sheets from fish scales using interference reflection microscopy (IRM). We report the monolayer to have cells lacking substrate adhesion and show that such ‘non-sticky’ cells can form bridges between leader cells and far-away follower cells. Do such interactions alter motility and membrane mechanics in such leaders? We find non-significant, but reduced speed for leaders with ‘non-sticky’ followers in comparison to other leaders. Cells show high phenotypic variability in their membrane fluctuation tension profiles. On average, this tension is found to be lower at cell fronts than the mid-section. However, leaders with non-sticky followers are more prone to display higher tension at their front and have a negative correlation between cell speed and front-mid tension difference. Thus, we conclude that intracellular tension gradients are heterogeneous in cell sheets and substrate adhesivity of followers can control the coupling of the gradient to cell speed.
Comparative Genomics Elucidates the Origin of a Supergene Controlling Floral Heteromorphism

Abstract Supergenes are nonrecombining genomic regions ensuring the coinheritance of multiple, coadapted genes. Despite the importance of supergenes in adaptation, little is known on how they originate. A classic example of supergene is the S locus controlling heterostyly, a floral heteromorphism occurring in 28 angiosperm families. In Primula, heterostyly is characterized by the cooccurrence of two complementary, self-incompatible floral morphs and is controlled by five genes clustered in the hemizygous, ca. 300-kb S locus. Here, we present the first chromosome-scale genome assembly of any heterostylous species, that of Primula veris (cowslip). By leveraging the high contiguity of the P. veris assembly and comparative genomic analyses, we demonstrated that the S-locus evolved via multiple, asynchronous gene duplications and independent gene translocations. Furthermore, we discovered a new whole-genome duplication in Ericales that is specific to the Primula lineage. We also propose a mechanism for the origin of S-locus hemizygosity via nonhomologous recombination involving the newly discovered two pairs of CFB genes flanking the S locus. Finally, we detected only weak signatures of degeneration in the S locus, as predicted for hemizygous supergenes. The present study provides a useful resource for future research addressing key questions on the evolution of supergenes in general and the S locus in particular: How do supergenes arise? What is the role of genome architecture in the evolution of complex adaptations? Is the molecular architecture of heterostyly supergenes across angiosperms similar to that of Primula?
Evidence for Diverse Prognosis in High-Grade Serous Ovarian Carcinoma: Solid, Pseudoendometrioid, and Transitional-Like; So-Called “SET Morphology” and Progesterone Receptor Status

Objective: High-grade serous ovarian carcinoma (HGSC) is one of the major tumors of the gynecological system with a poor survival rate and variable microscopic appearance. It was suggested that SET (solid, pseudo-endometrioid and transitional-like) morphology in ovarian HGSC is predictably associated with BRCA deficiencies. In this study, we investigated the microscopic patterns and some immunohistochemical markers predicting the prognosis of serous carcinoma. Material and Method: We re-evaluated 305 HGSC ovarian resections morphologically and calculated the SET morphology percentages for each case. Morphological and immunohistochemical data correlated with the survival and post-treatment disease progression data. Results: The median age at diagnosis was 57 years and the median follow-up period was 3.1 years. The median overall survival (OS) of ovarian carcinoma in SET-predominant tumors (n=60) was 81 months, while for tumors with SET non-dominant morphology (n=63) and non-SET morphology (n=182) it was 59.7 and 44.7 months, respectively. Conclusion: Predominant (more than 50%) SET morphology was significantly associated with increased survival rates of HGSC. Immunohistochemically, p53, ERCC1, ER, and PR antibodies were applied and only PR antibody positivity was found to be associated with borderline statistical significance for increased survival rates. Our results suggest that SET morphology may be a potential predictive and prognostic marker in managing the treatment strategies of HGSC.