Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploitation of striped snakehead (Channa striata) in Sempor Reservoir, Central Java, Indonesia: A proposed conservation strategy

Abstract. Setyaningrum N, Lestari W, Krismono, Nuryanto A. 2022. Exploitation of striped snakehead (Channa striata) in Sempor Reservoir, Central Java, Indonesia: A proposed conservation strategy. Biodiversitas 23: 3584-3592. Striped snakehead (Channa striata) has important economic value in freshwater systems, including Sempor Reservoir in Indonesia, where increases in catch sizes have resulted in a declining population. In this study, we determined its population size based on abundance and distribution of length and assessed the rate of exploitation based on estimated growth and mortality rates to determine a conservation strategy in Sempor Reservoir. The study was undertaken from March to October 2020. The method used was a purposive random sampling survey. Fish samples were taken from five stations with different land uses. The estimated growth, mortality, and exploitation rates were analyzed by Pauly's model using FISAT II. Channa striata abundance data were analyzed using a Kruskal-Wallis test. The results showed that the highest abundance of C. striata at the KW station was almost three times higher than at the BK station. The average size of the gonads at first maturity was 277.4 mm in females and 284 mm in males. The estimated growth parameters indicated an asymptotic length (L? ) of 409.5 mm. An exploitation rate of 0.74 was classified as overfishing. The proposed conservation strategy is to limit the number of catches by as much as 44% and prohibit the catching of individuals with a length of 230-349 mm. Kedungwringin Station was defined as a reference area with the largest abundance and complete size distribution, namely, the pre-reproduction, reproduction, and post-reproduction stages. Bangkong Station was defined as a spawning ground because there were many fish in the reproductive stage and Sempor River Station was the nursery ground with mostly juvenile fish. These two sites must be protected for sustainable striped snakehead populations in the river and reservoir.
Reconstructing High-Spatiotemporal-Resolution (30 m and 8-Days) NDVI Time-Series Data for the Qinghai-Tibetan Plateau from 2000-2020

As the largest and highest alpine ecoregion in the world, the Qinghai–Tibetan Plateau (QTP) is extremely sensitive to climate change and has experienced extraordinary warming during the past several decades; this has greatly affected various ecosystem processes in this region such as vegetation production and phenological change. Therefore, numerous studies have investigated changes in vegetation dynamics on the QTP using the satellite-derived normalized-difference vegetation index (NDVI) time-series data provided by the Moderate-Resolution Imaging Spectroradiometer (MODIS). However, the highest spatial resolution of only 250 m for the MODIS NDVI product cannot meet the requirement of vegetation monitoring in heterogeneous topographic areas. In this study, therefore, we generated an 8-day and 30 m resolution NDVI dataset from 2000 to 2020 for the QTP through the fusion of 30 m Landsat and 250 m MODIS NDVI time-series data. This dataset, referred to as QTP-NDVI30, was reconstructed by employing all available Landsat 5/7/8 images (>100,000 scenes) and using our recently developed gap-filling and Savitzky–Golay filtering (GF-SG) method. We improved the original GF-SG approach by incorporating a module to process snow contamination when applied to the QTP. QTP-NDVI30 was carefully evaluated in both quantitative assessments and visual inspections. Compared with reference Landsat images during the growing season in 100 randomly selected subregions across the QTP, the reconstructed 30 m NDVI images have an average mean absolute error (MAE) of 0.022 and a spatial structure similarity (SSIM) above 0.094. We compared QTP-NDVI30 with upscaled cloud-free PlanetScope images in some topographic areas and observed consistent spatial variations in NDVI between them (averaged SSIM = 0.874). We further examined an application of QTP-NDVI30 to detect vegetation green-up dates (GUDs) and found that QTP-NDVI30-derived GUD data show general agreement in spatial patterns with the 250 m MODIS GUD data, but provide richer spatial details (e.g., GUD variations at the subpixel scale). QTP-NDVI30 provides an opportunity to monitor vegetation and investigate land-surface processes in the QTP region at fine spatiotemporal scales.
Ferroptosis and Its Multifaceted Role in Cancer: Mechanisms and Therapeutic Approach

Ferroptosis, a new type of non-apoptotic cell death modality, is different from other modes of cell death and has been primarily found in tumor cells. Previous studies have reported that ferroptosis can be triggered by specific modulators (e.g., drugs, nutrients, and iron chelators), leading to increased intracellular lipid reactive oxygen species (ROS) accumulation and iron overload. Recent reports have shown that ferroptosis at the cellular and organism levels can prevent an inflammatory storm and cancer development. Emerging evidence suggests potential mechanisms (e.g., system Xc-, glutathione peroxidase 4 (GPX4), lipid peroxidation, glutathione (GSH), and iron chelators) are involved in ferroptosis, which may mediate biological processes such as oxidative stress and iron overload to treat cancer. To date, there are at least three pathways that mediate ferroptosis in cancer cells: system Xc-/GSH/GPX4, FSP1/CoQ10/NAD(P)H, and ATG5/ATG7/NCOA4. Here, we summarize recent advances in the occurrence and development of ferroptosis in the context of cancer, the associations between ferroptosis and various modulators, and the potential mechanisms and therapeutic strategies targeting ferroptosis for the treatment of cancer.
Age and structure of the Permian Brook Street Terrane, Takitimu Mountains, New Zealand

ABSTRACT We use a recently completed airborne magnetic and gamma-ray spectrometric survey, and new U/Pb and 40Ar/39Ar age determinations, to revise and clarify several aspects of Brook Street Terrane geology in the Takitimu Mountains. Steeply dipping and homoclinal Permian Takitimu Subgroup formations defined in the central part of the range can, with moderate confidence, be traced along strike to other parts of the range where they are more complexly folded and faulted. We report intrusion ages for three Brook Street plutonic suites: pyroxene-bearing White Hill Intrusives (306-270 Ma, U/Pb zircon), amphibole-bearing Mackinnon Peak Intrusives (261 ± 1 Ma, 40Ar/39Ar amphibole), and shoshonitic Wether Hill Dikes (254 ± 1 Ma, 40Ar/39Ar plagioclase). Geological relationships between these intrusions and the host Takitimu Subgroup reinforce the Early Permian age of the latter, which is distinct from the overlying Late Permian Productus Creek Group. The Wether Hill Dikes mark the cessation of igneous activity in the Brook Street Terrane at c. 254 Ma. A large (n = 499) dataset of detrital zircon U/Pb ages from the nonmarine Jurassic Barretts Formation confirms a local Median Batholith-Tuhua Intrusives provenance and supports a post-Permian fore-arc tectonic setting along the Gondwana margin.
Characteristics and Prognostic Relevance of Ventricular Arrhythmia in Patients with Myocarditis

Myocarditis is characterized by various clinical manifestations, with ventricular arrhythmia (VA) as a frequent symptom at initial presentation. Here, we investigated characteristics and prognostic relevance of VA in patients with myocarditis. The study population consisted of 76 patients with myocarditis, verified by biopsy and/or cardiac magnetic resonance (CMR) imaging, including 38 consecutive patients with VA (45 ± 3 years, 68% male) vs. 38 patients without VA (NVA) (38 ± 2 years, 84% male) serving as a control group. VA was monomorphic ventricular tachycardia in 55% of patients, premature ventricular complexes in 50% and ventricular fibrillation in 29%. The left ventricular ejection fraction at baseline was 47 ± 2% vs. 40 ± 3% in VA vs. NVA patients (p = 0.069). CMR showed late gadolinium enhancement more often in VA patients (94% vs. 69%; p = 0.016), incorporating 17.6 ± 1.8% vs. 8.2 ± 1.3% of myocardial mass (p < 0.001). Radiofrequency catheter ablation for VA was initially performed in nine (24%) patients, of whom five remained free from any recurrence over 24 ± 3 months. Taken together, in patients with myocarditis, reduced left ventricular ejection fraction does not predict VA occurrence but CMR shows late gadolinium enhancement more frequently and to a larger extent in VA than in NVA patients, potentially guiding catheter ablation as a reasonable treatment of VA in this population.
The Perceptions of Children and Adolescents with Cancer Regarding Nurses’ Communication Behaviors during Needle Procedures

Background: Communicating with children and adolescents with cancer during a needle procedure can prove challenging for healthcare professionals. Objective: Our aim was to explore the perceptions of children and adolescents with cancer regarding communication with nurses during needle procedures. Method: Thus was a qualitative phenomenological study. Data were gathered through seven in-depth interviews with a convenience sample of children and adolescents with cancer. Data were analyzed using a grounded theory approach to identify themes in the participants’ narratives. Results: The analysis revealed three themes describing participants’ experience: (1) nurses need to explain clearly what they are going to do while also allowing children to express their emotions without feeling coerced; (2) nurses need to be honest and approachable and relate to children as active participants in the treatment process; and (3) it is distressing to hear other children who are undergoing a needle procedure cry out in pain. Further application of the constant comparison method yielded a core theme: (4) the pressures faced by oncology nurses lead them to focus on the technical side of procedures at the expense of their young patients’ communication needs. Conclusions: We suggest that hospital managers need to ensure that oncology nurses have sufficient training in communication skills and are confident in their ability to respect and respond to the communication preferences and needs of patients.
Deformation Monitoring and Shape Reconstruction of Flexible Planer Structures Based on FBG

To reduce the dependence of real-time deformation monitoring and shape reconstruction of flexible planar structures on experience, mathematical models, specific structural curvature (shape) sensors, etc., we propose a reconstruction approach based on FBG and a data-driven model; with the aid of ANSYS finite element software, a simulation model was built, and training samples were collected. After the machine learning training, the mapping relationship was established, which is between the strain and the deformation variables (in three directions of the x-, y-, z-axis) of each point of the surface of the flexible planar structure. Four data-driven models were constructed (linear regression, regression tree, integrated tree, and BP neural network) and comprehensively evaluated; the predictive value of the BP neural network was closer to the true value (R2 = 0.9091/0.9979/0.9964). Finally, the replication experiment on the flexible planar structure specimen showed that the maximum predictive error in the x-, y-, and z-axis coordinates were 2.93%, 35.59%, and 16.21%, respectively. The predictive results are highly consistent with the expected results of flexible planar structure deformation monitoring and shape reconstruction in the existing test environment. The method provides a new high-precision method for the real-time monitoring and shape reconstruction of flexible planar structures.
Real-Time Byzantine Resilience for Power Grid Substations

In the world of increasing cyber threats, a compromised protective relay can put power grid resilience at risk by irreparably damaging costly power assets or by causing significant disruptions. We present the first architecture and protocols for the substation that ensure correct protective relay operation in the face of successful relay intrusions and network attacks while meeting the required latency constraint of a quarter power cycle (4.167ms). Our architecture supports other rigid requirements, including continuous availability over a long system lifetime and seamless substation integration. We evaluate our implementation in a range of fault-free and faulty operation conditions, and provide deployment tradeoffs.
Informational Intermediation, Market Feedback, and Welfare Losses∗

This paper examines the welfare implications of third-party informational intermediation. A seller sets the price of a product that is sold through an informational intermediary. The intermediary can disclose information about the product to consumers and earns a fixed percentage of sales revenue in each period. The intermediary’s market base grows at a rate that increases with past consumer surplus. We characterize the stationary equilibria and the set of subgame perfect equilibrium payoffs. When market feedback (i.e., the extent to which past consumer surplus affects future market bases) increases, welfare may decrease in the Pareto sense.
Symmetry Agnostic Learning for Multi-Robot Zero-Shot Coordination ⋆

As reinforcement learning for robotics continues to grow, it is essential to consider the critical points that may fail. Robots collaborating with other robots (or humans) must be careful when optimizing the joint action reward in a multi-agent reinforcement learning solution. Recent work has shown that learning agents may differ in their decisions between symmetric joint actions. Our algorithm, Automatic Symmetry Tracking Other-Play (ASTOP), tracks the rewards the agent sees during learning to automatically avoid symmetric actions that lead to suboptimal performance in cooperative scenarios. We run multiple simulated and physical quadrotors in a location-selection game and evaluate the performance of ASTOP in the zero-shot coordination problem across graphs that vary in complexity and represent a wildfire response application. ASTOP policies never arbitrarily break ties between symmetric actions and correctly select the maximum symmetry-safe reward for all location-selection game graphs.
THE INTERSECTION BETWEEN INCARCERATION AND MENTAL DISORDERS: A DESCRIPTIVE ANALYSIS

OBJECTIVE: Analyze the mental health of incarcerated people and how this issue has been addressed among government entities to improve the well-being of these individuals, considering prevalent disorders and socioeconomic factors. METHODS: Research in Pubmed scientific database with the application of the descriptors "mental disorders" and "incarceration”. RESULTS: A great predominance of certain mental disorders among the incarcerated population was observed within the articles analyzed. However, even with some government measures, there’s been identified a gap in public politics to improve and individualize health care. CONCLUSION: The literature analyzed focused the study of the incarcerated population attached to specific diseases and drug abuse, which mostly reinforces stigmas already strongly vinculated to this social group. Nevertheless, it also shown that they need more attention, humanized treatments, security of rights and the government protection over any kind of discrimination. In conclusion, it is yet to determine if the high prevalence of mental disorders in prison can be configured as a precedent or a consequence of incarceration.
Performance Evaluation of a New Eleven Level Transistor Clamped T-Type Multilevel Inverter

Multilevel inverters (MLIs) are a type of converters that is fairly recent and uses power electronics switches. They are generally used to convert dc to ac power. Two-level inverters are regularly used to generate ac power; however, they require the switches to be operated at a relatively high switching frequency. Furthermore, with switches running under high dv/dt stress, the two-level inverter needs the employment of LC filters. The MLIs have the advantage of being able to generate a stepped ac waveform by combining many dc voltage sources with the right switch configuration. This paper presents a new eleven-level transistor clamped T-type multilevel inverter topology. The nearest level modulation (NLM) technique is used for the calculation of switching angles for a combination of appropriate switches. In comparison to a conventional multilevel inverter including cascaded H-bridge, Flying capacitor and Neutral point clamped topologies, this inverter requires far fewer semiconductor switches and isolated dc sources. In comparison to other traditional inverters with the same output quality, the suggested inverter provides superior output quality with lower power loss, according to the findings. MATLAB/Simulink simulation is carried out to verify the proposed topology, and the simulation results are discussed. From the result, the proposed eleven-level transistor clamped T-type inverter has lower total harmonic distortion. inverter topology for medium voltage
Linguistic Annotation of Neo-Latin Mathematical Texts: A Pilot-Study to Improve the Automatic Parsing of the Archimedes Latinus

This paper describes the process of syntactically parsing the Latin translation by Jacopo da San Cassiano of the Greek mathematical work The Spirals of Archimedes. The Universal Dependencies formalism is adopted. First, we introduce the historical and linguistic importance of Jacopo da San Cassiano’s translation. Subsequently, we describe the deep Biaffine parser used for this pilot study. In particular, we motivate the choice of using the technique of treebank embeddings in light of the characteristics of mathematical texts. The paper then details the process of creation of training and test data, by highlighting the most compelling linguistic features of the text and the choices implemented in the current version of the treebank. Finally, the results of the parsing are discussed in comparison to a baseline and the most prominent errors are discussed. Overall, the paper shows the added value of creating specific training data, and of using targeted strategies (as treebank embeddings) to exploit existing annotated corpora while preserving the features of one specific text when performing syntactic parsing.
Cooperative distributed multi-agent optimization

This chapter presents distributed algorithms for cooperative optimization among multiple agents connected through a network. The goal is to optimize a global-objective function which is a combination of local-objective functions known by the agents only. We focus on two related approaches for the design of distributed algorithms for this problem. The first approach relies on using Lagrangian-decomposition and dual-subgradient methods. We show that this methodology leads to distributed algorithms for optimization problems with special structure. The second approach involves combining consensus algorithms with subgradient methods. In both approaches, our focus is on providing convergence-rate analysis for the generated solutions that highlight the dependence on problem parameters. Introduction and motivation There has been much recent interest in distributed control and coordination of networks consisting of multiple agents, where the goal is to collectively optimize a global objective. This is motivated mainly by the emergence of large-scale networks and new networking applications such as mobile ad hoc networks and wireless-sensor networks, characterized by the lack of centralized access to information and time-varying connectivity. Control and optimization algorithms deployed in such networks should be completely distributed, relying only on local observations and information, robust against unexpected changes in topology, such as link or node failures, and scalable in the size of the network. This chapter studies the problem of distributed optimization and control of multiagent networked systems. More formally, we consider a multiagent network model, where m agents exchange information over a connected network.
DYNAMICS OF A POLYMERIZATION MODEL ON A GRAPH

This work is concerned with the dynamics of a polymerization process coupled with mass transfer and monomers injection, mod-eled by means of an infinite-dimensional system of Smoluchowski’s equations in a finite graph. Under suitable assumptions on the sys-tem’s aggregation coefficients, we show that, as a consequence of the injection mechanism, a sizable depletion of the pool of available reacting substances occurs at some finite time, that can be estimated in terms of the parameters of the problem. By analogy with well-known results in chemical engineering, we interpret that result as the onset of a sol-gel phase transition. According to the chemical engineering terminology, a sol-gel transition is characterized by the appearance of a “gel” defined as a fraction of the total chemical species which is not able to add to the polymerization process any-more. A gel just removes reacting species from the available pool but does not contributes back to the ongoing reaction. We suggest that this property might have some interest in the mathematical modeling of neurodegenerative processes, where the polymerization of some soluble proteins and their eventual aggregation into insolu-ble plaques play a remarkable role, which is not well understood as yet.
Low overhead self-optimizing storage for compression in DuckDB

Embeddable database management systems can handle large amounts of data in limited environments, such as laptops. This data is often stored in the cloud, where disk usage determines the cost, meaning efficient storage is essential. Therefore, the data is compressed using lightweight compression methods like run-length encoding (RLE). In this thesis, we explore methods to make RLE more effective by reordering the data automatically. We first evaluate several methods, including sorting columns from low to high cardinality and rows lexicographically, exploiting the combined cardinality of columns and two novel methods called Vortex and Multiple Lists. Our evaluation shows that sorting columns from low to high cardinality is an acceptable trade-off between time performance and compression ratio. We then implement this reordering method in the open-source database system DuckDB by modifying the checkpoint process, which is the moment data is written to disk. Since we focus on real-life usage, we evaluate the implementation using the Public BI benchmark, which contains 46 datasets of real user data. At most, the compression ratio increased by 15%. On average, the compression ratio is improved by 3.23% while increasing the checkpoint time by 98%.
THE DARESBURY GLOBAL HORIZONTAL SERVO FEEDBACK SYSTEM: STATUS AND OUTLOOK

A system of automatic global horizontal orbit position control has now been in regular operational use at the Daresbury Synchrotron Radiation Source for more than a year. Using 16 electron beam position monitors (BPMs), the optimal combination of steering magnets, deduced from the machine response matrix, is applied to correct changes in orbit shape every 30s. The system has proved highly effective in removing orbit ripple due to magnetic field errors, principally caused by thermally induced magnet movements. At present other apparent errors, notably a slow drift in average orbit radius, are not treated; whilst these could be addressed by varying the RF frequency, this is inappropriate for contributions arising from thermally induced movements of the BPM vessels themselves. Experimental studies are currently underway to assess options for recognising such "false" orbit changes whilst correcting changes due to field errors