Miracle-dz/UniFAR-FTUs huggingface dataset:
The New Approach of the Impedance Calculation Method of Fault Current Analysis in the AT Feeding Method of the Electric Railway

The cause of failure in the AT feeding method of the electric railway is divided into ground, short of feeding circuit and faults on the inside of the substation. Because the fault current is high, the real-time current is detected and the failure promptly has to be removed. In this paper, short-circuit current is analyzed by numerical analysis and simulation is made for the correct operation of the protective relay and the impedance calculation method has been proposed for simple and accurate calculation of the short-circuit current. Also, In order to confirm the validity of the proposed calculation method, the simulation error rate was analyzed compared with the conventional numerical methods.
Ideal dose intensity of R-CHOP in diffuse large B-cell lymphoma

ABSTRACT Introduction The standard of care for diffuse large B-cell lymphoma (DLBCL) is rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP). However, its ideal dose intensity varies among cases. Areas covered This review provides the latest insights on the dose intensity of R-CHOP for DLBCL patients. Specifically, we discussed the optimal dose intensity for elderly patients, the optimal number of treatment cycles for limited or advanced-stage diseases, and the role of dose-intensified therapies or adding targeted inhibitors. Expert opinion Performing a comprehensive or simplified geriatric assessment can distinguish elderly DLBCL patients who will likely benefit from curative R-CHOP. Very elderly or medically unfit patients may need dose reduction in R-CHOP; the Age, Comorbidities, and Albumin index may aid decision-making. Four cycles of R-CHOP followed by two rituximab cycles comprise a new standard for low-risk, limited-stage DLBCL patients. Compared to eight cycles, six cycles of R-CHOP have similar efficacy and fewer toxicities for advanced-stage DLBCL. Dose-intensified therapy is not recommended in most DLBCL cases but may be considered for patients with double (or triple)-hit lymphoma. Applying targeted inhibitors and not merely escalating R-CHOP dose intensity through molecular subtyping will improve the treatment outcome for DLBCL. PLAIN LANGUAGE SUMMARY Diffuse large B-cell lymphoma (DLBCL) is one of the most common blood cancers. Patients with DLBCL are usually treated with a standard (immuno-) chemotherapy called R-CHOP, which stands for rituximab, cyclophosphamide, hydroxydaunorubicin (doxorubicin), Oncovin, and prednisone. Of these, cyclophosphamide and doxorubicin are particularly toxic but effective. Therefore, the dosages of these drugs are adjusted according to the patient’s body size. However, the ideal amounts of these drugs (dose intensity) can vary from case to case. For instance, the regular dose intensity of R-CHOP is too toxic for some people, such as very older patients. Furthermore, ideal total amounts of these drugs, that is, ideal cycle numbers of R-CHOP, are also different between patients with limited disease and advanced disease. Therefore, oncology/hematology researchers have been seeking the optimal dose intensity of R-CHOP in each patient with DLBCL for years. The goal of this review is to provide the latest insights on the ideal dose intensity of R-CHOP in DLBCL treatment. In this article, we discuss: how R-CHOP was established as the standard of care for DLBCL, how to identify candidates for standard R-CHOP among older patients, how to adjust the dose intensity of R-CHOP for patients who are not candidates for standard R-CHOP, optimal cycle number of R-CHOP for limited-disease DLBCL, optimal cycle number of R-CHOP for advanced DLBCL, how to treat patients with a large mass, and the role of more intensive therapies other than R-CHOP in DLBCL treatment. Finally, we demonstrate how experts determined the dose intensity of R-CHOP for some example cases with DLBCL.
Calcium-pyro-hydrochar derived from the spent mushroom substrate as a functional sorbent of Pb2+ and Cd2+ from aqueous solutions

A calcium-pyro-hydrochar (Ca-PHC) can be distinguished as a novel sorbent of Pb2+ and Cd2+ from an aqueous solution. It was obtained using hydrothermal treatment of the spent mushroom substrate (SMS), followed by a CaCl2·5H2O activation and pyrolysis. The characterisation of chars before and after modifications was done by scanning electron microscope (SEM), Brunauer–Emmett–Teller (BET) and Fourier transform infrared (FTIR). Batch experiments were performed to examine Ca-PHC’s sorption properties and binding mechanisms to selected metal ions. The maximum sorption capacities of Ca-PHC for Pb2+ and Cd2+ were 297 mg g−1, and 131 mg g−1, respectively. The obtained results demonstrated that the sorption of Pb2+ and Cd2+ by Ca-PHC follows a pseudo-second kinetic model and Freundlich isotherm. The binding of the selected metals onto Ca-PHC was enabled by the ion-exchange mechanism, surface complexation, mineral precipitation and cation–π interaction. Thermodynamic parameters indicate that metal ions binding by Ca-PHC are spontaneous and endothermic. Due to the high adsorption capacities, the obtained Ca-PHC has good potential for application in industrial wastewater treatment. In addition, the demonstrated use of SMS highlights another possibility of applying this specific biomass relevant to sustainable and economical waste management in the growing mushroom industry. Graphical Abstract
High rates of vaccine hesitancy among pregnant women during the coronavirus disease 2019 (COVID-19) pandemic in Japan

ABSTRACT This study aimed to 1) determine the prevalence and contents of vaccine hesitancy among pregnant women during the coronavirus disease 2019 (COVID-19) pandemic and 2) evaluate its association with maternal sociodemographic factors. A cross-sectional survey was conducted between August and December 2020 among pregnant women between 28 and 32 weeks of gestation who received antenatal care at four clinics and hospitals in Niigata City, Japan. Vaccine hesitancy was assessed using the Parent Attitudes about Childhood Vaccines survey, and associations between vaccine hesitancy and sociodemographic factors were analyzed. In total, 113/200 (56.5%) subjects responded to the survey. Overall, 46/113 (40.7%) pregnant women were resistant or hesitant to receive the vaccine. Women with vaccine hesitancy were more likely to fear adverse reactions (concern 79.6%, not concerned 15.9%, and not sure 4.4%), safety (concerned 69.0%, not concerned 23.9%, and not sure 7.1%), and efficacy (concerned 47.8%, not concerned 35.4%, and not sure 16.8%) compared to those without vaccine hesitancy (P < .01, < .01, and <.01, respectively). In the multivariate logistic regression analyses, primipara women had higher rates of vaccine hesitancy than multipara pregnant women (odds ratio: 2.38, P = .04). In conclusion, the prevalence of vaccine hesitancy among pregnant Japanese women, especially primipara women, was higher than that in other countries during the COVID-19 pandemic. Their major concerns were adverse reactions, safety, and the efficacy of childhood vaccines. Further strategies are needed to provide appropriate vaccine information to prevent vaccine-preventable diseases in both infants and children.
In Situ Ellipsometry Measurements on the Halide Phase Segregation of Mixed Halide Lead Perovskites

Abstract Methylammonium lead iodide bromides MAPb(BrxI1‐x)3 are a class of mixed halide lead perovskites, materials that offer high‐power conversion efficiencies and bandgap tunability. For these reasons, they are a promising absorber material for future solar cells, although their use is still limited due to several factors. The reversible phase segregation under even low light intensities is one of them, lowering the effective bandgap due to local segregation into iodide‐rich and bromide‐rich phases. While several studies have been done to illuminate the mechanism and suppression of phase segregation, challenges remain to understand its kinetics. We obtained dynamic ellipsometric measurements from x=0.5 mixed halide lead perovskite thin films protected by a polystyrene layer under green laser light with a power density of ∼11 W/cm2. Time constants between 1.7(±0.7)×10−3 s−1 for the segregation and 1.5(±0.6)×10−4 s−1 for recovery were calculated. The phase segregation rate constants are surprisingly two orders of magnitude slower than and the recovery rate is consistent with those measured using photoluminescence methods under similar conditions. These results confirm a concern in the literature about the complexity in the phase separation kinetics measured from photoluminescence. We expect ellipsometry to serve as a complementary technique to other spectroscopies in studying mixed‐halide lead perovskites phase segregation in the future.
Abuse and Discrimination Experienced by Older Women in the Era of COVID-19: A Two-Wave Representative Community Survey in Hong Kong

Although there is a growing volume of research on violence against women, violence against older women has received little attention to date. Little is known about the experience of elder abuse, discrimination, loneliness, and health among older women, in particular in the era of COVID-19 when our lives have been changed drastically. Using two waves of survey data (N = 1,498), this study compared the estimates of elder abuse and age discrimination before and during the COVID-19 pandemic, examined their associations with physical and mental health, and explored the mediating effects of loneliness on the associations in two independent samples of older women in Hong Kong. Reductions in some forms of abuse and discrimination against older women during the pandemic were observed. Findings from regression analyses show that elder abuse and age discrimination were associated with poorer health, and these associations were mediated by loneliness.
Targeting IL-1β as an immunopreventive and therapeutic modality for K-ras–mutant lung cancer

K-ras–mutant lung adenocarcinoma (KM-LUAD) is associated with abysmal prognosis and is tightly linked to tumor-promoting inflammation. A human mAb, canakinumab, targeting the proinflammatory cytokine IL-1β, significantly decreased the risk of lung cancer in the Canakinumab Anti-inflammatory Thrombosis Outcomes Study. Interestingly, we found high levels of IL-1β in the lungs of mice with K-rasG12D–mutant tumors (CC-LR mice). Here, we blocked IL-1β using an anti–IL-1β mAb in cohorts of 6- or 14-week-old CC-LR mice to explore its preventive and therapeutic effect, respectively. IL-1β blockade significantly reduced lung tumor burden, which was associated with reprogramming of the lung microenvironment toward an antitumor phenotype characterized by increased infiltration of cytotoxic CD8+ T cells (with high IFN-γ and granzyme B expression but low programmed cell death 1 [PD-1] expression) while suppressing neutrophils and polymorphonuclear (PMN) myeloid-derived suppressor cells. When querying the Cancer Genome Atlas data set, we found positive correlations between IL1B expression and infiltration of immunosuppressive PMNs and expression of their chemoattractant, CXCL1, and PDCD1 expressions in patients with KM-LUAD. Our data provide evidence that IL-1β blockade may be a preventive strategy for high-risk individuals and an alternative therapeutic approach in combination with currently available treatments for KM-LUAD.
The reliability and validity of the 30-second chair stand test and modified four square step test in persons with multiple sclerosis

ABSTRACT Background The 30-second Chair Stand Test (30s-CST) and Modified Four Square Step Test (mFSST) are used to determine the functional status of individuals with multiple sclerosis (MS). No other studies have demonstrated the reliability and validity of the 30s-CST and mFSST. Purpose To identify the test-retest reliability, concurrent validity and the known-group validity of the 30s-CST and mFSST in persons with MS. Methods A total of 64 persons with MS were enrolled. 30s-CST, mFSST, Timed Up and Go Test (TUG) and Five Times Sit to Stand (FTST) tests were performed. 30s-CST and mFSST were conducted again one-hour later. Results The mean age of the persons with MS were 37.9±11.3 years. The test-retest reliability of the 30s-CST and mFSST were excellent (ICC30s-CST = 0.974, 95%CI: 0.95-0.98; ICCmFSST = 0.992, 95%CI: 0.98-0.99). The 30s-CST was strongly correlated with FTST and TUG (r1 = −0.871, p1 = 0.0001; r2 = −0.741,p2 = 0.0001). There was a strong relationship between mFSST with TUG and FTST (r1 = 0.781,p1 = 0.0001;r2 = 0.788,p2 = 0.0001). The SEM95 and MDC95 values of the 30s-CST and mFSST were 0.41/1.13 and 0.34/0.94, respectively. Besides, there were significant differences between the persons with or without fall history in 30s-CST (MD: 1.66, CI: 0.27 to 3.05, p = .019) and mFSST CST (MD:-2.70, CI: −4.73 to −0.67, p = .010) performances. Conclusion The 30s-CST and mFSST are both valid and reliable in mildly-disabled individuals with MS.
The Resilience Divide Among Older Adults Under Uncertainty: A Positive Sociological Study of Life Satisfaction During the COVID-19 Crisis

While recent research has detected older adults’ resilience during the global pandemic, its unequal distribution is inadequately examined. Using the panel survey data in Japan (N = 3,725), this positive sociological study investigated who were more/less resilient under COVID-19, with attention to the heterogeneity in life satisfaction (LS). It was first confirmed that older adults’ LS had substantially improved during the pandemic, indicating their resilience on average. However, the multinomial logistic regression and the fixed effects model revealed that the shift in LS was associated with age, gender, income, family/social relationships, and heath in a nuanced way. This suggests, while older adults who have access to economic, social, and health-related resources can maintain/enhance their LS under the global crisis, those without such assets face the risk of being penalized. In these uncertain times, it is therefore imperative to shed light on the resilience divide among older adults alongside their average strength.
How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets

The binding of DNA sequences to cell type–specific transcription factors is essential for regulating gene expression in all organisms. Many variants occurring in these binding regions play crucial roles in human disease by disrupting the cis-regulation of gene expression. We first implemented a sequence-based deep learning model called deepBICS to quantify the intensity of transcription factors-DNA binding. The experimental results not only showed the superiority of deepBICS on ChIP-seq data sets but also suggested deepBICS as a language model could help the classification of disease-related and neutral variants. We then built a language model-based method called deepBICS4SNV to predict the pathogenicity of single nucleotide variants. The good performance of deepBICS4SNV on 2 tests related to Mendelian disorders and viral diseases shows the sequence contextual information derived from language models can improve prediction accuracy and generalization capability.
A broadband dual‐polarized antenna with chamfers

A wideband dual‐polarized antenna is proposed. With chamfers in cross loop dipoles, the two resonating modes can be controlled, the first resonating mode can move lower and the second resonating mode can move higher by changing the size of the chamfer. Therefore, the radiator size is reduced to 48 mm × 48 mm (0.35 λ × 0.35 λ, λ is the wavelength at 2.2 GHz) and a wider bandwidth is achieved. Measured results show that the proposed antenna has a bandwidth of 48.8% from 1.7 to 2.8 GHz for VSWR < 1.5. Stable radiation pattern and stable gain are also obtained over the operating band. © 2017 Wiley Periodicals, Inc. Microwave Opt Technol Lett 59:631–635, 2017
The Re∞ectivity of the Ni-Zn Ferrite Tiles in the Microwave Frequency Range

In the paper, the investigation of the re∞ection coe-cient of commercially available ferrite tiles at microwaves is presented. This material is typically used as an absorber in anechoic chambers but rather in low frequency range, mainly below 1GHz where absorptive properties of sintered Ni-Zn ferrite are good enough. In the work it has been demonstrated that such ferrite absorber can also be used in higher frequencies up to 7GHz. Proposed investigation of ferrite material allows to deeply reveal the re∞ection as well as the absorption properties of this material.
Fidelity to Program Specification of the National Health Service Digital Diabetes Prevention Program Behavior Change Technique Content and Underpinning Theory: Document Analysis

Background The National Health Service (NHS) Diabetes Prevention Program is a behavior change intervention for adults in England who are identified as being at high risk of developing type 2 diabetes. The face-to-face service was launched in 2016, followed by a digital service (NHS Digital Diabetes Prevention Program [NHS-DDPP]) in 2019. A total of 4 service providers were commissioned to deliver the NHS-DDPP and were required to deliver the digital service in line with a program specification detailing the key intervention content. The fidelity of the behavior change content in the digital service (ie, the extent to which the program is delivered as intended) is currently unknown. Digital interventions may allow higher fidelity as staff do not have to be trained to deliver all intervention content. Assessing fidelity of the intervention design is particularly important to establish the planned behavior change content in the NHS-DDPP and the extent to which this adheres to the program specification. This is the first known independent assessment of design fidelity in a large-scale digital behavior change intervention. Objective This study aims to assess the fidelity of the behavior change content in each of the 4 NHS-DDPP providers’ intervention designs to the full program specification. Methods We conducted a document review of each provider’s NHS-DDPP intervention design, along with interviews with program developers employed by the 4 digital providers (n=6). Providers’ intervention design documents and interview transcripts were coded for behavior change techniques (BCTs; ie, the active ingredients of the intervention) using the Behavior Change Technique Taxonomy version 1 and underpinning theory using the Theory Coding Scheme framework. The BCTs identified in each digital provider’s intervention design were compared with the 19 BCTs included in the program specification. Results Of the 19 BCTs specified in the program specification, the 4 providers planned to deliver 16 (84%), 17 (89%), 16 (84%), and 16 (84%) BCTs, respectively. An additional 41 unspecified BCTs were included in at least one of the 4 digital providers’ intervention designs. By contrast, inconsistent use of the underpinning theory was apparent across providers, and none of the providers had produced a logic model to explain how their programs were expected to work. All providers linked some of their planned BCTs to theoretical constructs; however, justification for the inclusion of other BCTs was not described. Conclusions The fidelity of BCT content in the NHS-DDPP was higher than that previously documented for the face-to-face service. Thus, if service users engage with the NHS-DDPP, this should increase the effectiveness of the program. However, given that a clear theoretical underpinning supports the translation of BCTs in intervention designs to intervention delivery, the absence of a logic model describing the constructs to be targeted by specific BCTs is potentially problematic.
The effects of short bouts of ergometric exercise for severely burned children in intensive care: A randomized controlled trial

Objective To determine the effects of short bouts of ergometric exercises on the number of days in the burn intensive care unit (ICU), body mass, and functional ambulation. Design Multi-center, randomized controlled trial. Setting Burn intensive care unit. Participants Children ages 7–17 with severe burns covering over 30% total body surface area (TBSA). Intervention All patients received standard of care (Control) with the experimental group receiving additional exercise with a cycle ergometer (Exercise). Main measures The number of days in the ICU, total weight, lean body mass (LBM), and functional ambulation were taken shortly after randomization and again within one week of the scheduled hospital discharge. Results of outcomes are expressed as median ± interquartile range (IQR), unless otherwise noted (e.g. demographics). Results Fifty-four severely burned children (n = 18 Control, n = 36 Exercise) were included. The average ± standard deviation for age was 12 ± 3 years and TBSA was 48 ± 16%. The median ± IQR ICU days for Control was 46 ± 51 days vs 31 ± 29 days for Exercise. The median total weight loss for Control was 2.2 ± 1.2 kg vs 1.8 ± 1.4 kg in Exercise. Control lost 0.75 ± 0.8 kg of LBM vs 0.46 ± 0.43 kg in Exercise. Both groups showed significant improvement in functional ambulation (p < 0.01). However, exercise did not add additional benefits. Conclusion Short bouts of ergometric exercises are feasible for severely burned patients while receiving care in the ICU but did not add additional benefits.
Dual Networks Based 3D Multi-Person Pose Estimation From Monocular Video

Monocular 3D human pose estimation has made progress in recent years. Most of the methods focus on single persons, which estimate the poses in the person-centric coordinates, i.e., the coordinates based on the center of the target person. Hence, these methods are inapplicable for multi-person 3D pose estimation, where the absolute coordinates (e.g., the camera coordinates) are required. Moreover, multi-person pose estimation is more challenging than single pose estimation, due to inter-person occlusion and close human interactions. Existing top-down multi-person methods rely on human detection (i.e., top-down approach), and thus suffer from the detection errors and cannot produce reliable pose estimation in multi-person scenes. Meanwhile, existing bottom-up methods that do not use human detection are not affected by detection errors, but since they process all persons in a scene at once, they are prone to errors, particularly for persons in small scales. To address all these challenges, we propose the integration of top-down and bottom-up approaches to exploit their strengths. Our top-down network estimates human joints from all persons instead of one in an image patch, making it robust to possible erroneous bounding boxes. Our bottom-up network incorporates human-detection based normalized heatmaps, allowing the network to be more robust in handling scale variations. Finally, the estimated 3D poses from the top-down and bottom-up networks are fed into our integration network for final 3D poses. To address the common gaps between training and testing data, we do optimization during the test time, by refining the estimated 3D human poses using high-order temporal constraint, re-projection loss, and bone length regularizations. We also introduce a two-person pose discriminator that enforces natural two-person interactions. Finally, we apply a semi-supervised method to overcome the 3D ground-truth data scarcity. Our evaluations demonstrate the effectiveness of the proposed method and its individual components. Our code and pretrained models are available publicly: https://github.com/3dpose/3D-Multi-Person-Pose.