Miracle-dz/UniFAR-FTUs huggingface dataset:
TAPHONOMY OF A MONODOMINANT CENTROSAURUS APERTUS (DINOSAURIA: CERATOPSIA) BONEBED FROM THE UPPER OLDMAN FORMATION OF SOUTHEASTERN ALBERTA

Abstract The horned dinosaur Centrosaurus apertus from the Belly River Group (Campanian) is represented by multiple articulated skulls and skeletons, and is particularly notable for its occurrence in dozens of large-scale monodominant bonebeds, which have been found in the Dinosaur Park Formation across southern Alberta and Saskatchewan. Here we present a detailed taphonomic analysis of the first large-scale Centrosaurus apertus bonebed (McPheeters bonebed) from the Oldman Formation of southeastern Alberta. The McPheeters bonebed rivals the richest bonebeds in the Dinosaur Park Formation in terms of bone density and size, and the complete disarticulation of elements. The bonebed occurs in an overbank facies and is dominated by small bone clasts, suggesting that only low energy water current contributed to the formation of the bonebed before its final burial event. Patterns of taphonomic modification suggest that bones experienced little weathering, breakage, or scavenging. In turn, these conclusions are compatible with an overall interpretation of rapid burial in humid conditions after the disarticulation of elements. These taphonomic features are virtually identical to those seen in the well-documented bonebeds of this species in the Dinosaur Park Formation, which are interpreted to represent mass death events caused by seasonal tropical storms and associated large-scale flooding. Late Cretaceous dinosaur species typically have small geographic and stratigraphic ranges defined by the extent of single geological formations. The new bonebed extends the distribution of Centrosaurus apertus to the upper Oldman Formation, which is interpreted as more inland than the coastally influenced Dinosaur Park Formation, and suggests that mass death events related to seasonal tropical storms occurred over a broader geographic area and in a greater range of paleoenvironments than previously documented.
Using the High Order Performance Framework for Effective Leadership

Leaders, does your behavior match your goal? For those interested in leadership and character development, the first task is to build awareness and intentionality around the direction in which you hope to lead. Identify a goal. Only then can you create a culture, articulate a plan, and install feedback and enforcement mechanisms to align subsequent behaviors. In doing so, remember that the human condition is complex. As a leader, are you aware of all the components that impact high order performance outcomes? Are you creating situations that give your people a strong opportunity to succeed, or are you subconsciously degrading their top end performance? Effective leaders are not always perfect, but they must be aware of the myriad contributing factors at play. Effective leaders clarify objectives and thoughtfully craft environments. They set their people up for success.
Network Analysis for Predicting Treatment Response in Patients with Obsessive-Compulsive Disorder

Background: High resistance-to-treatment rates in obsessive-compulsive disorder (OCD) and various treatments remain significant obstacles to psychiatric disorder treatments. Objectives: The current study used network analysis to predict treatment response by psychiatric symptoms in the contamination/cleaning and danger/checking OCD subtypes. Methods: We evaluated 136 patients (mean age: 30.50 ± 5.25) who finished a 12-week selective serotonin reuptake inhibitor (SSRI) course. We used the convenience sampling method. All patients completed structured clinical interviews for the diagnostic and statistical manual of mental disorders, fifth edition research version (SCID-5-RV) at baseline and post-test. After treatment completion, the patients were categorized as responders and resistant according to their OCD severity scores (at the post-test). We used a network approach to determine the network structure of patients before and after the treatment. Network analysis was used by "the R programming language" to compare patterns of psychiatric symptoms. Additionally, we contrasted treatment-responsive patients' network structure with treatment-resistant OCD patients in each subtype. Results: In baseline, dysthymia, insomnia, binge eating, agoraphobia, and panic were the most central (important) nodes in the danger/checking subtype. However, hoarding, ADHD, insomnia, depression, and panic were the most central nodes in the contamination/cleaning group at baseline. Also, global strength and symptom connectivity were higher in the contamination/cleaning subtype than in the danger/check subtype (P < 0.05). In the contamination/cleaning subtype, "insomnia" was the most significant predictor for categorizing patients as resistant at the post-test. For contamination/cleaning, panic and binge eating played similar roles in treatment outcomes. Conclusions: Psychiatric symptoms can predict treatment responses in OCD subtypes. So, it is necessary to consider psychiatric comorbidities regarding OCD subtypes.
Improving the Performance of Free-pGaN Deep-Ultraviolet Light-Emitting Diodes by Embedding Self-Assembled Ni Nanoparticles Between p-AlGaN/p-Electrode

The performance for free-pGaN deep-ultraviolet light-emitting diodes (DUV LEDs) is still limited by total internal reflection (TIR), p-electrode absorption, and self-heating effect. In this study, we propose inserting a layer of self-assembled Ni nanoparticle array between p-AlGaN and p-electrode (Ni/Au). The experimental results demonstrate that compared to conventional DUV LEDs, the proposed device exhibits significant improvements in the optical power, forward voltage, and thermal characteristics. This is due to the fact that Ni nanoparticles serve as effective scattering centers, thereby enhancing the light extracting efficiency (LEE). In addition, the ohmic contact resistance between the p-electrode and p-AlGaN can be reduced effectively due to the thermal stress relaxation effect of Ni nanoparticles. Hence, the decreased p-electrode contact resistance and the increased LEE suppress the self-heating effect, resulting in a higher life reliability for DUV LED with Ni nanoparticles.
Prevention of RH Haemolytic Disease

The events leading to the introduction of a promising method of preventing Rh haemolytic disease had an unusual beginning. In 1952 the writer succeeded in hybridising some Papilio butterflies [3] and as a result met P. M. SHEPPARD, who slanted the research more scientifically and a common interest in studying polymorphism developed. This soon extended to Man, where the method of inheritance of the blood groups was seen closely to resemble that of the wing patterns of some of the butterflies. It was the Rhesus complex with its system of closely linked genes which particularly attracted attention and SHEPPARD, R. B. MCCONNELL and the writer became greatly interested in the interaction between the Rh and the ABO systems.
Effects of sleep duration and changes in body mass index on diabetic kidney disease: a prospective cohort study

Aims To examine the associations of sleep duration and changes in BMI with the onset of diabetic kidney disease (DKD). Materials and methods 2,959 participants with type 2 diabetes were divided into three groups based on sleep duration: short (<7 h/day), intermediate (7-9 h/day), or long (>9 h/day). Changes in BMI during follow-up were trisected into loss, stable, or gain groups. DKD was defined as either the urinary albumin/creatinine ratio (UACR) ≥ 3.39 mg/mmol or the estimated glomerular filtration rate (eGFR) < 60 mL/min/1. 73m², or both. Cox regression models were used to assess hazard ratios (HRs) and 95% confidence intervals (CIs). Results During a mean follow-up of 2.3 years, DKD occurred in 613 participants (20.7%). A J-shaped curve was observed between sleep duration and DKD. Compared to intermediate sleep duration, long sleep duration was associated with higher risks of DKD (HR 1.47; 95% CI: 1.19-1.81). In the joint analyses, compared to participants with intermediate sleep duration and stable BMI, long sleep duration with BMI gain had the highest risks of DKD (HR 2.04; 95% CI: 1.48-2.83). In contrast, short or intermediate sleep duration accompanied by decrease in BMI was associated with a reduced risk of DKD, with HRs of 0.50 (95% CI: 0.31-0.82) and 0.61 (95% CI:0.47-0.80), respectively. Conclusions Long sleep duration is significantly associated with an increased risk of DKD, which is further amplified by obesity or BMI gain. These findings suggest that both proper sleep duration and weight control are essential to preventing DKD.
The Implementation of Cooperative Script Technique to Improve the Students’ Speaking Skill

The objective of this study was to find out whether the implementation of the Cooperative Script technique could improve students’ speaking skills at SMA Negeri 3 Majene of second grade students. The method used in this study was quantitative research through a quasi-experimental design. The population was the social second grade students of SMA Negeri 3 Majene. There was XI IPS 1 as the experimental class and XI IPS 2 as the control class. The sample used for the research consisted of saturated sampling, consisting of two classes: XI IPS 1 and XI IPS 2. The result of this research shows that the Cooperative Script technique has a positive result in improving students’ speaking skills. It can be proven by the students’ average scores from pre-test and post-test. It means that the Cooperative Script technique has a significant effect on students’ speaking skills. It proved by the result of the testing Independent Sample T-test with the value of Sig. (2-tailed) was 000,0 < 0,05. It can be concluded that Ha means Cooperative Script technique has significance effect to improve students’ speaking skill was accepted and H0 means Cooperative Script technique has no significance to improves students’ speaking skill was rejected. Then, the results of the questionnaire analysis regarding students’ perception of the Cooperative Script technique, it showed that most students agreed that Cooperative Script technique makes them more active and easier to express opinions during the learning process, in this case helps students in speaking English.
A Financial Technology Index for Indonesia 2017 - 2020

Financial technology is a type of financial innovation that incorporates technology. Ideally, a composite indices-based measure can be used to track the flow of financial transactions. Indonesia has no financial technology index due to the inexistent of adequate weighing and time-series data requirement. The purpose of this study is to compose a financial technology index in Indonesia and to analyze the contribution of index forming indicators. We use Generalized Dynamic Principal Component Analysis (GDPCA) method to provide the weight of each indicator. The lender account accumulation and several fintech actors are the most contributed variables in the model
Singularity avoidance method for dual-arm closed-chain system based on damped least squares

When two manipulators cooperate to clamp a rigid object, a closed chain with both ends fixed is formed. The singularity of a single manipulator causes the closed chain to be at a singularity, which results in uncertainty in the velocity mapping between the terminal and joint space. This study proposes a closed-chain singularity processing method for dual-arm collaboration, adopting the Jacobian pseudoinverse method based on damped least squares to obtain an approximate solution. During the solution process, the adaptive damping factor is improved by cubic polynomials, and the optimal damping factor is determined by quadratic sequence programming. Furthermore, this study analyzes the kinematic constraints of the closed-chain system and constructs a closed-chain Jacobian to judge whether the system is in a singular region. Finally, the effectiveness of the proposed method is verified through simulations.
Using Design Thinking to Create Sustainable Communities

This innovative practice paper discusses an example of a participatory design-led sustainability project. Using a Design Thinking approach to problem solving, the project brought together university staff and students and a Council around a local sustainability challenge. Design Thinking was applied as an interdisciplinary methodology with the objective to equip students with sustainability skills and competences, resulting in a replicable method for responding to local sustainability challenges. By empowering diverse participants to contribute equally and freely, our application of Design Thinking created positive spillover effects on students and staff sense of community. The focus of the Challenge was on the discovery and co-creation of ideas to solve a problem related to local public transport. The driving principle of the Challenge was that participants, also public transport users, could bring their own lived experience to the Challenge and therefore could co-create and put forward potential solutions with the support of a local Council, and sustainability and Design Thinking experts on campus. In the process of doing so, participants framed and reframed the challenge from different angles and perspectives, opening a co-creation dialogue about community needs on and off campus, and their role in contributing to sustainability locally.
Differences In Counting The Number of Leukocytes Using Cermai Fruit (Phyllantus acidus) Juice and Turk Solution Using The Counting Room Method

Leukocytes play a role in the body's defense system. Counting the number of leukocytes can be done manually using turk solution. Glacial acetic acid in turk solution functions to lyse erythrocytes but this compound is included in compounds that are carcinogenic. There is a natural ingredient that can lyse blood cells other than leukocytes, namely Cermai fruit. Cermai fruit contains a weak acid, namely citric acid of 39,8% so that it can lyse blood cells other than leukocytes. This study aims to analyze the difference in the number of leukocytes in cermai fruit juice and turk solution. This type of research is experimental with simple random sampling technique. The sample of this research is cermai fruit which will be used to count the number of leukocytes in 10 respondents. The mean number of leukocytes in the control solution was 6.610 cells/mm3, 10% concentration 4.296 cells/mm3, 20% concentration 4.227 cells/mm3, 30% concentration 5.918 cells/mm3 and 100% concentration 5.745 cells/mm3. Data were analyzed using the Kruskal Wallis test and the sig. 0.001 <0,05 so H1 is accepted, which means there is a significant difference, so it is continued with the Post Hoc test. Post hoc test showed that there was no significant difference in the results of leukocyte counts using cermai fruit with concentrations of 30% and 100% compared to the control (p>0,05). Meaning that only the concentrations of 30% and 100% showed the suitability of the number of leukocytes with the control so that these concentrations could be used as an alternative to 3% glacial acetic acid in turksolution.
Modelling and mapping permafrost at high spatial resolution using Landsat and Radarsat-2 images in Northern Ontario, Canada: Part 2 – regional mapping

Permafrost occurs mainly at high latitudes and is currently subjected to widespread thawing due to global warming, which has significant ecological and socio-economic impacts. One way to map permafrost condition and its change at high spatial resolution is to calculate soil temperatures using a process-based permafrost model, such as the Northern Ecosystem Soil Temperature (NEST) model, based on remote-sensing data. In a previous paper (Ou et al. 2015), we showed that the NEST model can be used to model soil temperatures, frozen depth, and active layer thickness in a warm and discontinuous permafrost area that is located in the Hudson Bay Lowlands in northern Ontario, Canada. In this article, we applied the model over the whole study area to map the distribution of permafrost conditions and their changes from the 1960s to the 2000s at high spatial resolution. Some of the model inputs were estimated based on land-cover and surficial material maps derived from Landsat-5 TM and Radarsat-2 SAR C-HH and C-HV images. By comparison to field observations, we were able to achieve an average mapping accuracy of 99% for both the land-cover and surficial material maps, when both Landsat and Radarsat-2 images were used. In addition, all the 49 field-observed treed and shrub permafrost landform sites found in the study area were correctly identified on the classified image. This spatial modelling study shows that permafrost currently underlies about 9.4% of the land in this area, and varies significantly among land-cover types. With the increases in mean annual air temperature (1.9°C) and precipitation (2.4%) from the 1960s to the 2000s, the model results show a deepening of active layer by 20.5%. However, the permafrost has persisted in most of the area due to the protection of thick peat. The modelled permafrost extent reduced only from 9.8% to 9.4%.
Mid-Cretaceous spicule-rich turbidites in the Silesian Nappe of the Polish Outer Carpathians: radiolarian and foraminiferal biostratigraphy

Spicule-rich turbidites are widespread in mid-Cretaceous deep-water flysch of the Subsilesian and Silesian units in the Polish Outer Carpathians. The spicule-rich material with an admixture of numerous radiolarian and foraminiferal particles was supplied, together with siliciclastic material, from shallow environments, mostly from the northern margin of the Carpathian Basin. We present new data on the age of these deposits in the Silesian Nappe, where they are distinguished as the Mikuszowice Cherts. This unit is composed of mediumand thick-bedded siliciclastic to calcareous turbidites including bluish cherts in their middle and upper parts and of thin non-calcareous hemipelagic shales. We have studied radiolaria and foraminifera from hemipelagic sediments and spicule-rich turbidites, from two continuous sections in the Barnasiowka Range (Beskid Wyspowy Mts.) that included the Mikuszowice Cherts (31 m thick) and their transition into the surrounding units. The age of the Mikuszowice Cherts was determined taking into account the following radiolarian datum events: (1) the occurrence ofPraeconocaryomma lipmanae in the entire unit, (2) the FO (first occurrence) ofHemicryptocapsa tuberosa in the upper part of the unit, (3) the FO of Amphipyndax stocki close to the upper boundary of the unit, (4) the FO of Hemicryptocapsa prepolyhedra in the lowermost part of the overlying Barnasiowka Radiolarian Shale Formation. These datum events appear successively in the Western Tethys successions within the Rotalipora cushmani planktonic foraminiferal Zone, which corresponds to the middle and upper Cenomanian (except for its uppermost part). The foraminiferal assemblages, in which such taxa as Rotalipora cf.cushmani, R . c f. greenhornensis, whiteinellids and Uvigerinammina praejankoi successively appear, confirm the mid-late Cenomanian age of the spicule-rich turbidites in the Silesian Nappe.
School operational assistance in basic education: Organizational responses to policy complexities

This study aims to analyze variations in school responses in dealing with the complexities of School Operational Assistance (SOA) policy implementation. Several policies that gave rise to complexity in this study were included such as the policy of transferring SOA funds directly to schools, the policy of implementing the remaining SOA funds as a deduction for the following year's SOA funds, the policy of spending based on the Procurement Information System in Schools, and the policy of financial planning and reporting based on the School Activity Plan and Budget Application. The sample for this study consisted of 24 schools consisting of elementary and junior high schools that had remaining SOA funds for 2019-2021 in Yogyakarta City, Sleman Regency, and Gunung Kidul Regency. This research is qualitative research using interview techniques with school principals, SOA treasurers, and senior teachers. The data obtained were processed using the NVivo qualitative software. Based on the results of processing data sourced from interviews, there are three variations of school responses in dealing with policy complexities, namely acquiesce, compromise, and adjustment. The novelty of this study is the emergence of an adjustment response. The results of this study have an impact on policy makers so that in formulating policies it is necessary to look at old policies that are still valid so that policy actors do not experience a dilemma.
COVID-19 Pneumonia Presenting As Solitary Pulmonary Lesion

Common findings of COVID-19 pneumonia on chest CT images include ground-glass opacities and organizing pneumonia. Here, we present a patient with a history of lung cancer who came to our center for re-staging CT studies, which showed a solitary peripheral lung mass suggestive of lung cancer. While being evaluated for the mass, the patient developed respiratory failure due to COVID-19 pneumonia. After treatment for COVID-19 and recovery, CT showed complete resolution of the solitary peripheral lung mass. This case highlights that COVID-19 can, on occasion, present with CT findings that mimic those of lung cancer.
Reconfigurable First-order Multifunction Active Filter Based-on DDAs and Their Applications

— The purpose of this article is to describe the design and implementation of a reconfigurable voltage-mode first-order multifunction active filter based on a differential difference amplifier (DDA). The proposed multifunction filter is designed and constructed with two commercially available DDA integrated circuits: AD830, one resistor, and one grounded capacitor. By applying the input signals, the output responses are fully realized first-order functions such as low-pass, high-pass, inverting all-pass, and non-inverting all-pass responses. Because the input and output ports have high and low impedances, the proposed filter is an excellent choice for voltage-mode operation. Furthermore, the resistance and capacitance values of the proposed filter can be easily adjusted to control the pole frequency. Furthermore, as an example of an application, the construction of a sinusoidal oscillator based on the proposed first-order filter is demonstrated. The proposed circuit's performance is validated using the PSPICE program and through experimentation. The Monte Carlo Analysis is used to conduct a statistical analysis of the effect of tolerance errors on pole frequency and phase responses. The results of simulations and experiments clearly supported the theory, making it an excellent foundation for teaching and learning about electronics and electrical practice.
Similarity-sequenced multi-view discriminant feature extraction for image recognition

Traditional multi-view feature extraction methods based on manifold learning frequently overlook the similarity sequence between samples, failing to capture the intrinsic manifold structure of raw nonlinear samples and restricting the recognition performance of multi-view learning. In this paper, we propose a novel similarity-sequenced multi-view discriminant feature extraction method, called Similarity -sequenced Multi-view Discriminant Correlation Analysis (SMDCA), which explicitly considers the sample sequences based on similarity. The method constructs similarity-sequenced discriminant scatters for preserving the sequence structure of within-class samples and develops between-class correlations with the similarity-sequence structure information for further constraining intrinsic manifold structure of cross-view samples. SMDCA can also simultaneously extract low-dimensional sequence features with well-discriminative power from multiple views. Extensive experiments exhibit that SMDCA can provide higher recognition accuracy and stronger robustness in image recognition tasks.