Miracle-dz/UniFAR-FTUs huggingface dataset:
Replacement names for two species of Orthacanthus Agassiz, 1843 (Chondrichthyes, Xenacanthiformes), and discussion of Giebelodus Whitley, 1940, replacement name for Chilodus Giebel, 1848 (Chondrichthyes, Xenacanthiformes), preoccupied by Chilodus Müller & Troschel, 1844 (Actinopterygii, Characiform

﻿Abstract Three species assigned to the same nominal genus of Paleozoic xenacanthiform shark have been combined with the name Orthacanthusgracilis (Chondrichthyes, Xenacanthiformes, Orthacanthidae). Orthacanthusgracilis (Giebel, 1848), which was originally combined as Chilodusgracilis Giebel, 1848, is the senior synonym; it has priority over both Orthacanthusgracilis (Newberry, 1857), which was originally combined as Diplodusgracilis Newberry, 1857, and Orthacanthusgracilis Newberry, 1875a. Proposed species-group replacement names are Orthacanthuslintonensisnom. nov. for O.gracilis (Newberry, 1857) and Orthacanthusadamasnom. nov. for O.gracilis Newberry, 1875a. Chilodusgracilis Giebel, 1848 is designated as the type species of Chilodus Giebel, 1848; this species becomes the type species for Giebelodus Whitley, 1940, which is a replacement name for Chilodus Giebel, 1848 (preoccupied by Chilodus Müller & Troschel, 1844, Actinopterygii). Giebelodus Whitley, 1940 is a junior subjective synonym of Orthacanthus Agassiz, 1843.
The Fishes of the Santa Fe River System

This paper correlates the fish populations of the Santa Fe River with such physical aspects as its underground channel, substantial subterranean drainage, and low chlorinity. Recorded from the river and its tributaries are 60 species of fishes representing 21 families and 13 orders. Pertinent life history notes are given for many of the species, including one species nearly endemic to the river, Micropterus notius. The derivation of the ichthyofauna is suggested; 25 species comprise an element widespread to the north, 18 to the southeast; 8 species are typically Floridian, and 8 species are from marine waters. Euryhaline species in the Santa Fe are generally restricted to the portion of the river downstream from the underground channel. A new term is proposed, dihaline, to describe those species that maintain breeding populations in both fresh and marine waters.
Machine Learning Model for Predicting Failures in the Context of Autonomous Vehicles

In general, failure data is obtained in the automotive industry during the warranty period. If these contain the expression of a service life characteristic for each failure, statements can be made about the reliability and availability of the systems. For this purpose, estimation methods are used to adapt empirical lifetime distributions to theoretical lifetime distributions. By means of the distribution characteristics, a prognosis of the reliability and availability to be expected is also possible beyond the observation time. In addition to the data basis to be investigated, which is available completely in test bench and experimental trials or re-censored in the field, various methods can be used for estimation. In the past, several methods have been used, such as the estimators according to Eckel [1], Kaplan-Meier [2] or the estimators according to Pauli [3]. In general, a field failure is subject to several stresses, which can be described by expressions of several lifetime characteristics. For this application case, which occurs in the automotive industry, the known estimation methods, [1]–[3], cannot be used. In this paper, the necessity of multidimensional estimation methods will be introduced first. Then, a new estimation method for multidimensional metrics is presented. In a further step, mathematical proof is given that the new method can provide realistic results. Finally, two example data sets from bench testing and field are presented. Furthermore, some recommendations for the use of the new method are concretized in this context.
Potential of Therapeutic Curculigo latifolia Extracts on Alloxan-induced Diabetes in a Male Mus muscullus

Curculigo latifolia is a herbaceous plant that is abundant on the islands of Java, Sumatra and Kalimantan. C. latifolia has not been well explored. The research to determine the phytochemical content of C. latifolia, to analyze the organoleptic sweetness level of C. latifolia fruit and to analyze the anti-diabetic potential of C. latifolia plant extracts on diabetic mice. The study was conducted experimentally using 6 treatment levels and 4 replications. Prior to treatment, mice were induced hyperglycemia using alloxan 150 mg/kg WB were induced subcutaneously. The treatment being tested was oral Ethanol crude extract (ECE) for 28 days with 400 mg/kg WB, namely: G1: oral mineral water; G2: glibenclamide ; G3: ECE leaf; G4: ECE root; G5: ECE fruit and G6: ECE tree. Blood sugar levels were measured at 0, 7, 14, 21 and 28 days after oral ECE. Therefore, respondents stated that after consuming the fruit, they had a sweet-tasting and taste-modifying mineral water with a strength of 82.40 ± 8.36%, but the fruit extract did not show any sweet-tasting and taste-modifying. ANOVA results showed that oral ECE administration had a significant effect low on blood sugar levels. the HSD test was carried out with a 95% confidence level. ECE C. latifolia showed positive results on the tests of flavonoids, phenolics, saponins, alkaloids, triterpenoids and tannins. G4 was effective in reducing sugar levels after short time and G5 for 28 days (long time). C. latifolia have pharmacology effects to lower sugar levels and has taste modifying to sweetness.
THE NORMALISATION OF LEARNER PARTICIPATION IN ENVIRONMENTAL EDUCATION TEACHING AND LEARNING ACTIVITIES – A BOTSWANA PRIMARY SCHOOL CASE

This paper seeks to illustrate how the concept of participation of learners in environmental education has been normalised in teaching and learning processes in Botswana primary schools. The study is based on one primary school, where the study investigated how learner participation was perceived by both teachers and learners in environmental education, specifically waste management activities. A case study approach was used to generate data from a group of ten learners and three teachers who were purposefully selected. Focus group discussions were used to draw data from the learners and interviews were used to get information from teachers. Content analysis and the abductive mode of inference were used to analyse data in the case study. Findings from the study reveal that participation of learners in waste management activities was largely teacher-directed. Due to culturally and historically formed views of environmental education, the study reveals that teachers have normalised litter pick-ups as learner participation in environmental education activities, as this was their primary waste management concern. While learners on the other hand, identified sanitation management in the school toilets as their primary waste management concern. Teachers had not considered this an environmental education concern. This illustrated the normalisation of learner participation in environmental education processes in teaching and learning in Botswana primary school education.
Multilevel mixed-effect models to predict wood volume in a hyperdiverse Amazon forest

ABSTRACT Accurate wood volume predictions are critical in hyperdiverse forests because each species has specific size and shape traits. Although generic models at a multispecies level were widely used in Amazonian managed forests, they are subject to more significant bias due to interspecific variability. We used an extensive database of wood volume collected in managed forests to test the hypothesis that generic models violate the independence assumption due to that predictions vary with species-specific size. Our hypothesis was proved as residuals of the generic model were conditioned to species and specific size. The multilevel models were more accurate both in fitting and validation procedures, and accounted for variance derived from species and specific size, providing a more reliable prediction. However, we found that the size-specific models have a similar predictive ability to species-specific models for new predictions. This implies more practical estimates in hyperdiverse forests where fitting species-specific models can be complex. The findings are crucial for sustainable forest management as they allow for more reliable wood volume estimates, leading to less financial uncertainty and preventing damage to forest stocks through under or over-exploitation.
Continuity of care for patients with dementia during COVID-19 pandemic: flexibility and integration between in-person and remote visits

Introduction During the pandemic, the Cognitive Disorders Unit of San Raffaele Hospital (Milan, Italy) offered patients the opportunity to undergo neuropsychological evaluations and cognitive training through telemedicine. Method We conducted an investigation to assess how patients responded to this option and to determine if telemedicine could ensure continuity of care. Results Between October 2019 and May 2022, a total of 5,768 telemedicine appointments and 8,190 in-person outpatient appointments were conducted, resulting in an increase in the rate of telemedicine activity from 16.81% in January 2020 to 23.21% in May 2022. Peaks in telemedicine activity reached 85.64% in May 2020 and 83.65% in February 2021, both representing a significant portion of the total activity. Interestingly, there was a notable positive correlation between telemedicine activity and the worsening of the Italian pandemic (r = 0.433, p = 0.027). Discussion During the peaks of contagion, the total number of visits remained stable, highlighting that telemedicine effectively served as a valuable and efficient tool to ensure continuity of care for vulnerable patients. This was evident from the integration of remote visits with in-person appointments.
Common Flaws in Running Human Evaluation Experiments in NLP

While conducting a coordinated set of repeat runs of human evaluation experiments in NLP, we discovered flaws in every single experiment we selected for inclusion via a systematic process. In this paper, we describe the types of flaws we discovered which include coding errors (e.g., loading the wrong system outputs to evaluate), failure to follow standard scientific practice (e.g., ad hoc exclusion of participants and responses), and mistakes in reported numerical results (e.g., reported numbers not matching experimental data). If these problems are widespread, it would have worrying implications for the rigour of NLP evaluation experiments as currently conducted. We discuss what researchers can do to reduce the occurrence of such flaws, including pre-registration, better code development practices, increased testing and piloting, and post-publication addressing of errors.
A Literature Review of the Pharmacological Effects of Jujube

Jujube is a plant native to China that could be used in medicine and food. Its dried fruit is a superior herb commonly used in traditional Chinese medicine formulations for its calming effect and for nourishing the blood and strengthening the spleen and stomach. Jujube contains numerous active components including polysaccharides, phenols, and triterpene acids, which show a diverse array of pharmacological activities such as neuroprotection and the prevention and treatment of cardiovascular diseases. In this paper, the research status of jujube over the past two decades has been statistically evaluated. Meanwhile, by tracking the latest research advances, the pharmacological efficacy and molecular mechanisms of jujube are exhaustively expounded to provide specific and systematic references for further research on the pharmacological effects of jujube and its application in the food and pharmaceutical industries.
A Low-Fuel Consumption Method for Non-Uniform Space-Based Tomographic Baseline Planning Based on Active Utilization of Atmospheric Drag

Tomographic SAR imaging technology is widely applied in various civil and military domains, such as urban 3D/4D information extraction, forest vertical structure and biomass estimation, glacier thickness measurement and concealed object detection. A multi-baseline revisit scheme based on single-satellite active drift offers significant cost advantages. However, traditional uniform baseline imaging schemes consume substantial fuel for active drift, reducing satellite lifespan. To address this issue, this paper proposes a low-fuel consumption non-uniform baseline planning scheme that actively utilizes atmospheric drag. This approach allows satellites to actively exploit the orbit-lowering effect of atmospheric drag during active drift to form observation baselines. Within the constraints of adjacent baseline distances, a rational non-uniform baseline planning scheme is proposed to minimize satellite fuel consumption and reduce control frequency. First, an analytical model relating semi-major axis drift to ground longitude drift is established. Next, we invert the variation in the semi-major axis based on the analytical model based on the distance range of adjacent baselines. Then, by constructing an approximate atmospheric model, the orbit-lowering effect of atmospheric drag perturbations within each orbital period is evaluate. In the final step, within each revisit period, the reference orbit of adjacent non-uniform baselines is dynamically updated. The next adjacent non-uniform baseline is determined by evaluating the orbital decay caused by atmospheric drag. When the next baseline exceeds the range constraint of adjacent baselines, an orbit control strategy is implemented to raise the orbit. The numerical simulation validates the superiority of this approach in terms of fuel conservation and reducing control frequency.
High-Mobility 5G Communication Service: Availability and Reliability Analysis

5G, the latest generation of cellular technology, is designed to support the various use cases of multiple industries. Railway transport is one of the most challenging usage scenarios the 5G system encounters. The telecommunication network service provided by 5G is crucial to guarantee the quality and safety of train traffic. Therefore, estimating the availability and reliability of such network service is necessary. This article separates spatially and temporally the 5G network into subsystems. This article also provides methods and calculation expressions for evaluating the availability and reliability of subsystems as well as the overall network service.
Simulando o interferômetro de Mach-Zehnder no Qiskit

O Interferômetro de Mach-Zehnder (IMZ) é um dispositivo óptico que utiliza divisores de feixe e espelhos para criar interferência entre caminhos de luz ou partículas quânticas. A interpretação do IMZ usando o framework Qiskit da IBM envolve a modelagem e simulação desse interferômetro em um circuito quântico usando a biblioteca de programação de computação quântica. Nesse contexto, cada caminho do interferômetro é representado por um qubit, e os divisores de feixe e espelhos são modelados por portas quânticas que manipulam esses qubits. Neste trabalho analisamos 3 estudos de casos. A partir dos resultados das medições, pode-se analisar os padrões de interferência e obter informações sobre a diferença de fase entre os caminhos do interferômetro. Essa informação pode ser utilizada para medir deslocamentos de fase muito pequenos e para realizar experimentos de interferometria quântica.
CYP26A1 Links WNT and Retinoic Acid Signaling: A Target to Differentiate ALDH+ Stem Cells in APC-Mutant CRC

Simple Summary This manuscript reports the discovery of a mechanism that links two major cellular pathways, retinoic acid (RA) and WNT signaling, which are involved in colorectal cancer (CRC) development. The link between the two pathways is CYP26A1 enzyme, which controls intracellular RA metabolism and regulates RA signaling. Intracellular levels of CYP26A1 are regulated by WNT signaling, as CYP26A1 is a WNT target gene. Thus, the RA and WNT pathways crosstalk to modulate the metabolism of retinoids by CYP26A1. Mutation of the APC tumor suppressor gene drives CRC development by constitutively activating WNT signaling, which increases CYP26A1, its enzymatic degradation of retinoids, and decreases RA signaling. Consequently, when APC is mutant, reduced RA signaling leads to incomplete differentiation and overpopulation of ALDH+ stem cells. To restore retinoid-induced differentiation and reduce stem cell numbers, CYP26A1 levels will need to be lowered by inhibiting WNT signaling so that cells can respond to retinoids. Indeed, that is precisely what we observed in our study. Abstract APC mutation is the main driving mechanism of CRC development and leads to constitutively activated WNT signaling, overpopulation of ALDH+ stem cells (SCs), and incomplete differentiation. We previously reported that retinoic acid (RA) receptors are selectively expressed in ALDH+ SCs, which provides a way to target cancer SCs with retinoids to induce differentiation. Hypotheses: A functional link exists between the WNT and RA pathways, and APC mutation generates a WNT:RA imbalance that decreases retinoid-induced differentiation and increases ALDH+ SCs. Accordingly, to restore parity in WNT:RA signaling, we induce wt-APC expression in APC-mutant CRC cells, and we assess the ability of all-trans retinoic acid (ATRA) to induce differentiation. We found that ATRA increased expression of the WNT target gene, CYP26A1, and inducing wt-APC reduced this expression by 50%. Thus, the RA and WNT pathways crosstalk to modulate CYP26A1, which metabolizes retinoids. Moreover, inducing wt-APC augments ATRA-induced cell differentiation by: (i) decreasing cell proliferation; (ii) suppressing ALDH1A1 expression; (iii) decreasing ALDH+ SCs; and (iv) increasing neuroendocrine cell differentiation. A novel CYP26A1-based network that links WNT and RA signaling was also identified by NanoString profiling/bioinformatics analysis. Furthermore, CYP26A1 inhibitors sensitized CRC cells to the anti-proliferative effect of drugs that downregulate WNT signaling. Notably, in wt-APC-CRCs, decreased CYP26A1 improved patient survival. These findings have strong potential for clinical translation.
Monsoon-driven changes in aeolian and ﬂuvial sediment input to the central Red Sea recorded throughout the last 200 000 years

Climatic and associated hydrological changes controlled the transport processes and composition of the sediments in the central Red Sea during the last ca. 200 kyr. Three different source areas for mineral dust are identiﬁed. The dominant source is located in the eastern Sahara (Sudan and southernmost Egypt). We identify its imprint on Red Sea sediments by high smectite and Ti contents, low 87 Sr / 86 Sr, and high ε Nd . The availability of deﬂatable sediments was controlled by the intensity of tropical rainfall and vegetation cover over North Africa linked to the African monsoon. Intense dust input to the Red Sea occurred during arid phases, and low input occurred during humid phases. A second, less signiﬁcant source indicated by palygorskite input is probably located on the eastern Arabian Peninsula and/or Mesopotamia, while the presence of kaolinite suggests an additional minor dust source in northern Egypt. Our grain size data reﬂect episodes of ﬂuvial sediment discharge to the central Red Sea and document the variable strength in response to all of the precession-paced insolation maxima during our study interval including both those that were strong enough to trigger sapropel formation in the eastern Mediterranean Sea and those that were not. The African humid period most strongly expressed in our Red Sea record was the one during the Eemian last interglacial at ca. 125 ka (when the Baraka River was far more active than today), followed by those at 198, 108, 84, and 6 ka.
Direct Anterior Approach in Total Hip Arthroplasty for Severe Crowe IV Dysplasia: Retrospective Clinical and Radiological Study

Background and Objectives: total hip arthroplasty (THA) for Crowe IV hip dysplasia poses challenges due to severe leg shortening, muscle retraction and bone stock issues, leading to an increased neurological complication, and revision rate. The direct anterior approach (DAA) is used for minimally invasive THA but its role in Crowe IV dysplasia is unclear. This retrospective study examines if DAA effectively restores hip biomechanics in Crowe IV dysplasia patients with <4 cm leg length discrepancy, managing soft tissue and yielding functional improvement, limb length correction, and limited complications. Materials and Methods: 19 patients with unilateral Crowe IV hip osteoarthritis and <4 cm leg length discrepancy undergoing DAA THA were reviewed. Surgery involved gradual soft tissue release, precise acetabular cup positioning, and stem placement without femoral osteotomy. Results: results were evaluated clinically and radiographically, with complications recorded. Follow-up revealed significant Harris Hip Score and limb length discrepancy improvements. Abductor muscle insufficiency was present in 21%. The acetabular component was accurately placed, centralizing the prosthetic joint’s rotation. Complications occurred in 16% of cases, including fractures, nerve issues, and infection. DAA in THA showcased positive outcomes for hip function, limb length, and biomechanics in Crowe IV dysplasia. Conclusions: the technique enabled accurate cup positioning and rotation center adjustment. Complications were managed well without implant revisions. DAA is a viable option for Crowe IV dysplasia, restoring hip function, biomechanics, and reducing limb length discrepancy. Larger, longer studies are needed for validation.
Approximations to sustainable yield for exploited and unexploited stocks

On presente des formulations plus explicites de la production maximale equilibree, fondee sur le modele logistique mais on propose surtout un nouveau critere de gestion: l'exploitation au moment ou la production biologique est au maximum. Ceci est particulierement valable pour les zones tropicales et subtropicales
Educator Resource Development System Madrasah Aliyah

This research aims to analyze: (1) planning for the development of teaching staff resources; (2) the process of developing teaching staff; (3) educational staff development components; and (4) a model for developing teaching staff resources. This research uses a multisite qualitative method where data collection techniques employ interviews, observation, and document study techniques to enhance the validity of the data findings and the authenticity of the research. The results of this research conclude that: (1) planning for the development of teaching staff is led by the head of the madrasah, involving all elements of the madrasah and taking various forms in the short term, long term, and incidental; (2) the process of developing teaching staff is carried out using various steps, namely: problem identification; needs analysis; determination of funds; target setting; program determination; program implementation; and evaluation; (3) the teacher competency development components include the pedagogical component, professional component, social component, and personality component; and (4) a model for developing teaching staff takes the form of position rotation; training; guidance/counseling; job instructor training; demonstrations and examples; temporary assignments; workshops; seminars; comparative studies; teacher performance management; career development; improving welfare; subject teacher deliberation; education and training; supervision; and further studies.