Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effects of Laughter Yoga on Perceived Stress, Positive Psychological Capital, and Exercise Capacity in Lung Cancer Chemotherapy Patients: A Pilot Randomized Trial

Background: Lung cancer is the malignant tumor with the highest morbidity and mortality rate in China. Although chemotherapy is effective in improving clinical symptoms, it causes a variety of acute and chronic side effects, seriously aggravating the psychological stress of patients. Laughter Yoga as a new type of aerobic exercise can effectively reduce stress levels and increase positive mood in patients. This study aimed to examine the effects of laughter yoga on perceived stress, positive psychological capital, and exercise capacity in lung cancer patients. Methods: This study was a randomized, single-blind, parallel-group trial. The study enrolled 84 lung cancer chemotherapy patients from a general hospital in central China. These patients were randomly allocated to control and intervention groups (n = 42 per group) after baseline assessments. Patients in the control group received routine care and those in the intervention group received laughter yoga intervention. Perceived stress, positive psychological capital, and exercise capacity were assessed at baseline, immediately post-intervention. Results: During the implementation of the study, there were 2 dropouts in each of the intervention and control groups. Ultimately, 80 patients in the control and intervention groups completed the trial. Patients who received laughter yoga intervention had significantly higher scores in positive psychological capital (P < .01, Cohen’s d = 0.692) and exercise capacity (P < .01, Cohen’s d = 0.659). Discernible differences were also observed in perceived stress (P < .01, Cohen’s d = 1.087) between the 2 groups. Conclusions: The results of this study suggest that laughter yoga is an effective way and may produce beneficial effects on perceived stress, positive psychological capital and exercise capacity.
Tidal sensitivity of shallow very low frequency earthquakes in the Ryukyu Trench

We show that the activity between 2002 and 2014 of shallow very low frequency earthquakes (VLFEs), which occur in shallow subduction zones of the Ryukyu Trench, responds to ocean and Earth tides. Tidal sensitivity is highest in the central portion of the Ryukyu Trench and lowest in the southwest. The lag of peak VLFE activation behind the peaks of shear stress or normal stress is laterally heterogeneous along the Ryukyu Trench. The lateral variation of the lag between the peaks of sensitivity and stresses can be explained by the dependence of VLFE activation on thrust‐encouraging shear stress on the plate. The effective normal stress, which is calculated through rock experiments and from the sensitivity of VLFE for shear stress, is 0.25 MPa in the central Ryukyu Trench, which implies that high pore pressure on the plate interface would induce the VLFEs. The lateral variation of the sensitivity can be explained by differences in pore pressure within the plate interface. Although tidal sensitivity is lowest in the southwestern Ryukyu Trench, it increased temporarily during the middle of the decay of VLFE swarm activity. This is interpreted as reflecting a temporary increase in pore pressure on the fault, frictional heterogeneity, or fault weakening during the slip of slow slip events.
Anomalous Heat Evolution from a Solid-State Electrolyte Under Alternating Current in High-Temperature D2 Gas

AbstractA coin-shaped proton conductor made from metal oxides of strontium and cerium can be charged in a hot D2 gas atmosphere to produce excess heat. Anomalous heat evolution was observed from the proton conductors charged with alternating current at 5 to 45 V at temperatures ranging from 400 to 700°C. The anomalous heat produced temperature increases as much as 50°C. Excess heat was estimated as a few watts in most cases, totaling up to several kilojoules.
Developmental endothelial locus-1 promotes osteogenic differentiation and alveolar bone regeneration in experimental periodontitis with type 2 diabetes mellitus.

OBJECTIVES This study sought to explore the role of developmental endothelial locus-1 (DEL-1) in osteogenic differentiation of human periodontal ligament stem cells (hPDLSCs) and investigate the therapeutic effect of DEL-1 in ligature-induced experimental periodontitis with type 2 diabetes mellitus (T2DM). BACKGROUND T2DM is a significant risk factor for periodontitis. Treatment modalities for periodontitis with T2DM are being explored. DEL-1 is a versatile protein that can modulate the different stages of inflammatory diseases including periodontitis. The direct effect of DEL-1 on osteogenic differentiation of PDLSCs in periodontitis with T2DM is poorly understood. METHODS Primary hPDLSCs were isolated from periodontal ligament tissue and identified by flow cytometry. In osteogenesis experiments, alkaline phosphatase (ALP), Alizarin Red staining and western blot were used to assess the osteogenic effect of DEL-1 on hPDLSCs in high glucose and inflammation environments. The mouse model of ligature-induced experimental periodontitis was established. H&E and Masson's trichrome staining were used to assess the change of periodontal tissue after local periodontal injection of DEL-1. Immunohistochemical staining was used to evaluate osteogenic-related protein expression. RESULTS hPDLSCs expressed mesenchymal stem cell (MSC)-specific surface markers and were negative for hematopoietic cell surface markers. hPDLSCs had the potential for multidirectional differentiation. DEL-1 could enhance the osteogenic differentiation of hPDLSCs in high glucose and inflammation environments, although it did not return to the control level. Histological staining showed that DEL-1 contributed to alveolar bone regeneration and osteogenic-related protein expression, but the degree of improvement in T2DM mice was lower than in non-T2DM mice. CONCLUSIONS In summary, we demonstrated that DEL-1 could promote osteogenic differentiation of hPDLSCs in high glucose and inflammation environment and rescue alveolar bone loss in experimental periodontitis with T2DM, which could provide a novel therapeutic target for periodontitis with T2DM.
Early View

Take home message: Prematurity associated lung disease can mimic asthma. However, there is poor agreement between a physician diagnosis of asthma and objective diagnosis via application of the ERS clinical practice guidelines in this population. Further work is needed to better understand the aetiology of prematurity associated lung disease and the best treatments.
Content analysis or thematic analysis

Research has a long tradition of quantitative research which still dominates many university courses on research methods. Qualitative research is a younger phenomenon that was established in research after the second world war. An emerging research field that needed new analysis methods tailored for qualitative data. Two of the most frequently used approaches in qualitative data analysis are content analysis and thematic analysis. In several aspects content analysis and thematic analysis both share a common approach to analytically examine qualitative data, and the fact that they have been used interchangeably has made it difficult for the more unexperienced researchers to distinguish and choose between them. The aim of this study is to examine doctoral students’ perceptions of qualitative analysis with content analysis and thematic analysis. The study had a qualitative approach with data collected from two webinars on qualitative data analysis, where a total of 76 doctoral students participated. Data consists of participant reflections in a Padlet on content analysis and thematic analysis at the two webinars. Webinar participants have given their consent to use their reflections in the Padlet for research. Content analysis with an abductive coding approach was used to analyse the collected data and formulate categories that answer the study’s aim and research question. Results show both perceived similarities and differences between content analysis and thematic analysis. Both are perceived to have a similar process in the coding of data, although content analysis has a wider selection of coding approaches and thematic analysis support deeper immersion. Content analysis is also perceived as more practical and straightforward, while thematic analysis is perceived as more intuitive and faster to learn. Both content analysis and thematic analysis are perceived to have individual opportunities and challenges that make them appropriate for different types of research. Findings presented in this study can be used by researchers at any level to explore similarities and differences between content analysis and thematic analysis, and where to apply them in research.
E ditorial Knowledge and participation. Moving towards scientific citizenship

The scientific and technological progress of the first modernity developed through the centralization of intelligence, power and risk control, which was concentrated in technical structures comprising technicians, specialist, decision makers. The relationship between science and society has progressively evolved establishing a net separation between the experts who, through the use of the usual investigative methodologies, are able to reach an excellent level of analytical understanding of the issues that need resolving, and the public authorities. In this sense, the institutions are to be considered the client that ordered the investigations and also the users of these results, which then are transformed into some form of operative function in policy making. In this way, a mechanism has been generated in which collective will is flanked by the desires of policy makers, which are released from democratic procedures but which in their turn are legitimated due to the availability of a surplus of knowledge which determines the attribution of representative ability. In the words of Antonio Gramsci in the Quaderni dal carcere : “The popular element ‘hears’ but does not always understand or knows; the intellectual element ‘knows’ but does not always understand and especially ‘hears’. If the relationship between intel-lectuals and population-nation, between directors and subordinates, and between the governors and the governed – is based on a form of participation in which sentiment-passion becomes understanding and therefore knowledge (not mechanically but actively), only then can the relationship be considered representation with an exchange of individual elements between the governed and governors, between the subordinates and directors. In other words, only shared life represents social power” [1]. This is a surprisingly up to date statement if one compares it to the current historical period, characterized by a rapid transition towards
Gambling for Recovery? Exploring the Riskiness of European Insurers’ Assets during the Covid-19 Crisis 2020

In crisis times, insurance companies might feel the pressure to present an investment port-folio performance that is superior to the market, since investment portfolios back the claims of policyholders and serve as a signal for the claims’ safety. I investigate how a stock market crisis as experienced over the course of the Covid-19 pandemic influences insurance firms’ decisions on the allocation of their corporate bond portfolio. I find that insurers shift their portfolio holdings towards lower credit risk assets as financial market conditions tighten. This tendency seems to be restricted by the liquidity risk of high-yield assets, and the credit risk of lower-rated investment grade assets. Both effects lead to an increase in the fraction of less liquid assets during the crash and the recovery.
Dishonest Majority Multiparty Computation over Matrix Rings

The privacy-preserving machine learning (PPML) has gained growing importance over the last few years. One of the biggest challenges is to improve the eﬃciency of PPML so that the communication and computation costs of PPML are aﬀordable for large machine learning models such as deep learning. As we know, linear algebra such as matrix multiplication occupies a signiﬁcant part of the computation in the deep learning such as deep convolutional neural networks (CNN). Thus, it is desirable to propose the MPC protocol specialized for the matrix operations. In this work, we propose a dishonest majority MPC protocol over matrix rings which supports matrix multiplication and addition. Our MPC protocol can be seen as a variant of SPDZ protocol, i.e., the MAC and global key of our protocol are vectors of length m and the secret of our protocol is an m × m matrix. Compared to the classic SPDZ protocol, our MPC protocol reduces the communication complexity by at least m times. We also show that our MPC protocol is as eﬃcient as [11] which also presented a dishonest majority MPC protocol specialized for matrix operations. The MPC protocol [11] resorts to the homomorphic encryption scheme (BFV scheme) to produce the matrix triples in the preprocessing phase. This implies that their protocol only supports the matrix operations over integer rings or prime ﬁelds of large size. On the contrary, we resort to vector oblivious linear evaluations and random vector oblivious linear evaluations to generate correlated randomness in the preprocessing phase. Thus, the matrices of our MPC protocol can be deﬁned over any ﬁnite ﬁeld or integer ring. Due to the small size of our MAC, the communication complexity of our MPC protocol remains almost the same regardless of the size of the ﬁeld or the ring.
Mediated Social Touching Haptic Feedback Affects Social Experience of Touch Initiators

—Mediated social touch enables us to share hugs, handshakes, and caresses at a distance. Past work has focused on the experience of being touched by a remote person, but the touch initiator ’s experience is underexplored. We ask whether a variation in haptic feedback can influence the touch initiator’s social experience of the interaction. In a user study participants stroked a remote person’s hand in virtual reality while feeling no haptic feedback, ultrasonic stimulation, or passive feedback from a silicone hand. In each condition, they rated the pleasantness of the interaction, the friendliness of the remote person, and their sense of co-presence. We also captured the velocity of their stroking and asked for reflections on the interaction and mediated social touch as a whole. The results show significant effects of haptic feedback on co-presence, pleasantness, and stroking velocity. The qualitative responses suggest that these results are due to the familiarity of the solid silicone hand, and the participants’ assumption that when they felt feedback, the remote person felt similar feedback.
New thalattosaurs (Reptilia: Diapsida) from the Triassic Sulphur Mountain Formation of Wapiti Lake, British Columbia

A new assemblage of thalattosaurs is described from the Lower to Middle Triassic Sulphur Mountain Formation of eastern British Columbia. The following new species are described: Thalattosaurus borealis n. sp. ; Paralonectes merriami n. gen. and sp. ; and Agkistrognathus campbelli n. gen. and sp. In addition, specifically indeterminate material is described. This assemblage extends the geographic range of the Thalattosauria to Canada and demonstrates that thalattosaurs were more taxonomically diverse and widely distributed than previously thought.
Lipido-proteina elkarrekintzak autofagian Lipid-protein interactions in autophagy

: Autophagy is an essential process for cell survival. The central event of the autophagic process is the generation of the so-called autophagosome (AP), a vesicle surrounded by a double membrane (two bilayers). The AP delivers its cargo to a lysosome for degradation and the hydrolysis products are reused as new building blocks. AP formation is a very complex event that requires dozens of specific proteins and involves numerous instances of biogenesis and membrane architecture, including membrane fusion and fission. Many stages of AP generation can be explained in terms of curvature changes, caused by the molecular geometry of lipids ("intrinsic curvature") or by changes in the overall curvature of the entire membrane. This contribution explores the biophysics and cell biology underlying the complex process of autophagy.
Blood parasites (Kinetoplastida: Trypanosomatidae) infecting birds in the Brazilian Amazon

Introduction: Trypanosomes are hemoparasites that can be observed circulating in the peripheral blood of birds. Parasitological studies in birds in their natural environment are neglected, but are important for research relating to transmission, maintenance of the biological cycle, and abundance, among other parasitological aspects. Objective: To describe infections by Trypanosoma sp. in birds in the Brazilian Amazon, as well as the prevalence, morphological and morphometric characteristics of this hemoparasite. Methods: In the Tapajós National Forest, we captured a total of 125 birds, mostly from the order Passeriformes. We obtained blood samples from the ulnar vein using sterile insulin needles, and aliquots of blood using a microhematocrit capillary tube. We made blood smears in triplicate and stained with the Giemsa method. We viewd the morphotypes of the Trypanosoma sp. under the light microscope with objective lenses of 40 X and 100 X. To determine the morphometric characteristics of Trypanosomatidae, we used the Zen Blue Edition 2 software package. Results: We observed the presence of hemoparasites in the trypomastigote form in specimens of Thamnophilidae, Dendrocolaptidae and Conopophagidae, with low prevalence. Only one morphotype of Trypanosoma sp. was detected and measurement. Conclusions: We report the infection by Trypanosoma sp. in species of ecological importance, such as Phlegopsis nigromaculata , endangered in Brazil. The morphology and morphometry of the morphotype found could contribute to more detailed descriptions of these hemoparasites.
Correlations between milking characteristics and behavior of cows milked in robotic systems Correlações entre características de ordenhabilidade e comportamento de vacas

The objective of this study was to analyze the correlation between milking characteristics and the behavior of cows in automatic milking systems. Data were collected between September 2019 and March 2020 from two commercial dairy herds located in Minas Gerais, Brazil, which use an automatic milking system (AMSTM, DeLaval, Tumba, Sweden). The dataset comprised 68,896 observations from 542 primiparous and multiparous cows of Holstein and crossbred (Holstein × Jersey) breeds. Daily milking characteristics,
Setting the scene for Betti characters

Finite group actions on free resolutions and modules arise naturally in many interesting examples. Understanding these actions amounts to describing the terms of a free resolution or the graded components of a module as group representations which, in the non modular case, are completely determined by their characters. With this goal in mind, we introduce a Macaulay2 package for computing characters of finite groups on free resolutions and graded components of finitely generated graded modules over polynomial rings.
Strategies for cellular deconvolution in human brain RNA sequencing data [version 1; peer review: 1 approved with reservations]

Background: Statistical deconvolution strategies have emerged over the past decade to estimate the proportion of various cell populations in homogenate tissue sources like brain using gene expression data. However, no study has been undertaken to assess the extent to which expression-based and DNAm-based cell type composition estimates agree. Results: Using estimated neuronal fractions from DNAm data, from the same brain region (i.e., matched) as our bulk RNA-Seq dataset, as proxies for the true unobserved cell-type fractions (i.e., as the gold standard), we assessed the accuracy (RMSE) 0.09). Using the matched single nuclei RNA-Seq reference dataset did not eliminate bias (MuSiC RMSE = 0.17). Conclusions: Our results together suggest that many existing RNA deconvolution algorithms estimate the RNA composition of homogenate tissue, e.g. the amount of RNA attributable to each cell type, and not the cellular composition, which relates to the underlying fraction of cells. where deconvolution strategies are more easily validated against true cell fractions obtained by routine complete cell counts et al. 2015). We also note that while the effect of replacing the cell sizes is a general shift of all the points in the scatter plot which in turn changes the RMSE estimates, our goal in this paper is way to develop an approach to estimate the right shift needed to correct the biased estimates. Our results show that using the same dataset set to estimate both cell-size and abundance can lead to biased estimates. We lastly emphasize caution when performing RNA-based deconvolution using many cell types (i.e., more finely partitioned cell classes) without having the ability to validate cell counts on at least a subset of samples. Sosina et al. compared the performance of methods to perform cellular deconvolution of bulk gene expression from brains. They question the performance of popular methods when they use reference samples from mismatched brain regions and ignore cell size. Differential cell size leads to a fundamental difference between the fraction of cells of each type, versus the fraction of transcripts originating from each cell type. The authors seem to take the view that the former quantity is generally more appropriate. In their study they use paired bulk DNA methylation (DNAm) and gene expression data from the same subjects, so that they can estimate cell fraction fairly accurately from the DNAm. This quantity is used as ground truth. The paper presents its message clearly and provides a comprehensive inquiry of the question at hand. Portions of the text would benefit from revision to improve the writing style. Below are some comments that may improve the manuscript: needed to correct the estimates”. is troubling Apparently, by location and
POWERPING: MEASURING THE IMPACT OF POWER OUTAGES ON INTERNET HOSTS IN THE US

Power outage is a well-known threat to Internet communication systems. While Internet Service Providers (ISPs) address this threat via power-backup systems ( e.g., diesel generators and UPS) in PoPs and datacenters, oﬃce buildings or private homes may not have similar capabilities. In this paper we describe an empirical study that assesses how power outages in the US impact end host access to the Internet. To conduct this study we built a system named PowerPing that monitors a power outage reporting website ( poweroutage.us ) and measures end host responsiveness in the aﬀected areas. We use PowerPing to collect power outage and end host responsiveness data over one year from June 2020 through July 2021. We ﬁnd that power outages that aﬀect more than 10% of customers in a county occur at a rate of about 50 events/day; each outage typically aﬀects about 3k customers, and service is typically restored in just under 2 hours. We also report on the end host responsiveness characteristics for typical power-outage events. Surprisingly, we ﬁnd only a weak correlation between power-outage impact and service restoration periods vs. end host responsiveness. This suggests that improving backup power for network devices in homes and oﬃce buildings may enable end hosts to maintain access to Internet services during typical power outages.