Miracle-dz/UniFAR-FTUs huggingface dataset:
2 Related Work

We have begun implementing support for C++ programs for the Cooperative Bug Isolation Project (CBI). The Cooperative Bug Isolation Project (CBI) is a system that assists developers in locating bugs in their software by distributing instrumented versions of the developers’ software to end users and collecting feedback data produced by the instrumented software. We discuss our implementation of C++ instrumentation as a source-to-source transformation. We also discuss some of the problems we have encountered during our work and present a case study of POV-Ray, a freely available 3-D graphics program.
HIDDEN MARKOV STRUCTURES FOR DYNAMIC COPULAE

Understanding the time series dynamics of a multi-dimensional dependency structure is a challenging task. Multivariate covariance driven Gaussian or mixed normal time varying models have only a limited ability to capture important features of the data such as heavy tails, asymmetry, and nonlinear dependencies. The present paper tackles this problem by proposing and analyzing a hidden Markov model (HMM) for hierarchical Archimedean copulae (HAC). The HAC constitute a wide class of models for multi-dimensional dependencies, and HMM is a statistical technique for describing regime switching dynamics. HMM applied to HAC flexibly models multivariate dimensional non-Gaussian time series. We apply the expectation maximization (EM) algorithm for parameter estimation. Consistency results for both parameters and HAC structures are established in an HMM framework. The model is calibrated to exchange rate data with a VaR application. This example is motivated by a local adaptive analysis that yields a time varying HAC model. We compare its forecasting performance with that of other classical dynamic models. In another, second, application, we model a rainfall process. This task is of particular theoretical and practical interest because of the specific structure and required untypical treatment of precipitation data.
Power allocation for a hybrid energy harvesting relay system with imperfect channel and energy state information

In this paper, we consider both channel state uncertainty and harvested energy state uncertainty for a source-relay-destination communication link where the source and the relay are equipped with hybrid energy sources. Taking into account these uncertainties is of important for practical energy harvesting (EH) communication. While channel state uncertainties also affect conventional communication systems and have been widely studied, harvested energy state uncertainties are specific to energy harvesting systems and have not been considered in the literature before. The considered hybrid energy sources include a constant energy source and an energy harvester. Our objective is to maximize the worst case system throughput over a finite number of transmission intervals. We propose robust optimal offline, optimal online, and suboptimal online power allocation schemes. The offline power allocation design is formulated as an optimization problem which can be solved optimally. For the online case, we propose a dynamic programming (DP) approach to compute the optimal transmit power. To alleviate the prohibitively high complexity inherent to DP, we also propose several suboptimal low-complexity online power allocation schemes. Simulation results confirm the robustness of the proposed power allocation schemes to channel and energy state uncertainties.
Pre‐ and postsynaptic excitation and inhibition at octopus optic lobe photoreceptor terminals; implications for the function of the ‘presynaptic bags’

Synaptic transmission was examined in the plexiform zone of Octopus vulgaris optic lobes using field‐potential recording from optic lobe slices. Stimulation of the optic nerve produced pre‐ and postsynaptic field potentials. Transmission was abolished in calcium‐free seawater, L‐ glutamate or the AMPA/Kainate receptor blocker CNQX (EC50, 40 µm), leaving an intact presynaptic field potential. ACh markedly reduced or blocked and d‐tubocurarine augmented both pre‐ and postsynaptic field potentials, while α‐bungarotoxin and atropine were without effect. Paired‐pulse stimulation showed short‐term depression of pre‐ and postsynaptic components with a half‐time of recovery of ∼ 500 ms. The depression was partially relieved in the presence of d‐tubocurarine (half‐time of recovery, 350 ms). No long‐term changes in synaptic strength were induced by repetitive stimulation. A polyclonal antibody raised against a squid glutamate receptor produced positive staining in the third radial layer of the plexiform zone. No positive staining was observed in the other layers. Taking into account previous morphological data and our results, we propose that the excitatory terminations of the photoreceptors are in the innermost layer of the plexiform zone where the transmitter is likely to be glutamate and postsynaptic receptors are AMPA/kainate‐like. Thus, the function of the terminal bags is to provide a location for a presynaptic cholinergic inhibitory shunt. The results imply that this arrangement provides a temporal filter for visual processing and enhances the perception of moving vs. stationary objects.
The application of machine learning to structural health monitoring

In broad terms, there are two approaches to damage identification. Model-driven methods establish a high-fidelity physical model of the structure, usually by finite element analysis, and then establish a comparison metric between the model and the measured data from the real structure. If the model is for a system or structure in normal (i.e. undamaged) condition, any departures indicate that the structure has deviated from normal condition and damage is inferred. Data-driven approaches also establish a model, but this is usually a statistical representation of the system, e.g. a probability density function of the normal condition. Departures from normality are then signalled by measured data appearing in regions of very low density. The algorithms that have been developed over the years for data-driven approaches are mainly drawn from the discipline of pattern recognition, or more broadly, machine learning. The object of this paper is to illustrate the utility of the data-driven approach to damage identification by means of a number of case studies.
Adherence and Costs of Micronutrient Supplementation in Pregnancy in a Double-Blind, Randomized, Controlled Trial in Rural Western China

Background Efforts to determine the impact of prenatal multivitamin supplementation on birth outcome have been carried out in several developing countries. A review of factors that would impact the effectiveness of prenatal supplementation under normal field conditions is currently lacking and will be required for expanded supplementation programs. An efficacy trial of a multiple micronutrient supplement for pregnant women was conducted in rural western China, and additional information on side effects, rates of adherence, program inputs, and cost was also gathered. Objectives To examine reports of side effects and rates of adherence to prenatal multiple micronutrient supplementation in comparison with supplementation with folic acid and with iron–folic acid, and to describe inputs and costs associated with prenatal supplementation in China. Methods A cluster-randomized, double-blind, controlled trial was conducted in two rural counties in northwest China. All pregnant women in villages were randomly assigned to take daily supplements of folic acid, iron–folic acid, or a recommended daily allowance of 15 vitamins and minerals from enrollment until delivery. Information was collected from the women on side effects and adherence. Program inputs and costs of supplementation were tracked. Descriptive statistics were used for the analysis. The biological effectiveness of prenatal multiple micronutrient supplements is reported elsewhere. Results Less than 4% of women withdrew from the study because of side effects. Adherence to supplementation was high: the supplements were consumed on more than 90% of the days on which they were available for consumption. The mean number of supplements consumed was high at 165 capsules, and about 40% consumed the recommended 180 supplements during pregnancy. Conclusions High adherence to a prenatal supplement schedule can be achieved when mothers have frequent contact with trained health workers and a reliable supply of supplements.
Growth Arrest by Trehalose-6-Phosphate: An Astonishing Case of Primary Metabolite Control over Growth by Way of the SnRK1 Signaling Pathway1[C][W][OA]

The strong regulation of plant carbon allocation and growth by trehalose metabolism is important for our understanding of the mechanisms that determine growth and yield, with obvious applications in crop improvement. To gain further insight on the growth arrest by trehalose feeding, we first established that starch-deficient seedlings of the plastidic phosphoglucomutase1 mutant were similarly affected as the wild type on trehalose. Starch accumulation in the source cotyledons, therefore, did not cause starvation and consequent growth arrest in the growing zones. We then screened the FOX collection of Arabidopsis (Arabidopsis thaliana) expressing full-length cDNAs for seedling resistance to 100 mm trehalose. Three independent transgenic lines were identified with dominant segregation of the trehalose resistance trait that overexpress the bZIP11 (for basic region/leucine zipper motif) transcription factor. The resistance of these lines to trehalose could not be explained simply through enhanced trehalase activity or through inhibition of bZIP11 translation. Instead, trehalose-6-phosphate (T6P) accumulation was much increased in bZIP11-overexpressing lines, suggesting that these lines may be insensitive to the effects of T6P. T6P is known to inhibit the central stress-integrating kinase SnRK1 (KIN10) activity. We confirmed that this holds true in extracts from seedlings grown on trehalose, then showed that two independent transgenic lines overexpressing KIN10 were insensitive to trehalose. Moreover, the expression of marker genes known to be jointly controlled by SnRK1 activity and bZIP11 was consistent with low SnRK1 or bZIP11 activity in seedlings on trehalose. These results reveal an astonishing case of primary metabolite control over growth by way of the SnRK1 signaling pathway involving T6P, SnRK1, and bZIP11.
Electronic phase diagram of single-element silicon "strain" superlattices.

The evidence that the band gap of Si changes significantly with strain suggests that by alternating regions of strained and unstrained Si one creates a single-element electronic heterojunction superlattice (SL), with the carrier confinement defined by strain rather than by the chemical differences in conventional compositional SLs. Using first-principles calculations, we map out the electronic phase diagram of a one-dimensional pure-silicon SL. It exhibits a high level of phase tunability, e.g., tuning from type I to type II. Our theory rationalizes a recent observation of a strain SL in a Si nanowire and provides general guidance for the fabrication of single-element strain SLs.
Global Review of Economic Instruments for Solid Waste Management in Latin America

There is a strong relationship between economic instruments and the polluter-pays principle. That principle involves allocating costs of waste management services, resource consumption, and pollution control to consumers and producers. Inherent in this principle, the polluter bears all internal and external environmental costs, with the goal that all subsidies for resource use, production and waste management services are eliminated.
The orchestration of the sensory-motor systems: Clues from Neuropsychology

Research over the last several decades has led to clear and empirically tractable proposals about the representation of conceptual knowledge in the brain. Here we argue that there are already sufficient data from neuropsychology to strongly constrain extant hypotheses about the representation of conceptual knowledge. One constraint imposed by these neuropsychological data is that recognition of actions and understanding of objects do not necessarily depend on the ability to produce object-associated actions. This conclusion compels a reconsideration of the role played by motor planning and/or execution processes in action and object recognition and understanding.
Pyramid Pest-Control Community-Ecosystem-Management as an Effort to Prevent Leptospirosis

Klaten Regency has the highest cases in Central Java during the last 3 years. Leptospirosis IR has increased 3-fold compared to 2021. In 2022, there will be 80 cases with CFR of 7.5% IR of 6.27/100,000 population, this figure exceeds the national maximum target (≤3/100,000 population). Juwiring is one of the sub-districts with a rapid increase in leptospirosis cases. This study aims to determine differences in the level of knowledge of PKK mothers regarding leptospirosis and efforts to prevent the increase in leptospirosis cases in Bulurejo through Pyramid Pest-Control Community-Ecosystem-Management. The research was conducted in July – August 2023. This research used a pre-experimental approach with one group pretest – posttest design. The research sample consisted of PKK mothers in Bulurejo, Juwiring District, Klaten Regency. Data analysis was performed using Wilcoxon test. The results obtained are p-value 0.001 indicating there is a difference in increasing knowledge before and after being given counseling activities. Counseling activities can have a positive effect on increasing the knowledge of PKK mothers regarding leptospirosis prevention.
A gradient of maternal Bicaudal-C controls vertebrate embryogenesis via translational repression of mRNAs encoding cell fate regulators

Vertebrate Bicaudal-C (Bicc1) has important biological roles in the formation and homeostasis of multiple organs, but direct experiments to address the role of maternal Bicc1 in early vertebrate embryogenesis have not been reported. Here, we use antisense phosphorothioate-modified oligonucleotides and the host-transfer technique to eliminate specifically maternal stores of both bicc1 mRNA and Bicc1 protein from Xenopus laevis eggs. Fertilization of these Bicc1-depleted eggs produced embryos with an excess of dorsal-anterior structures and overexpressed organizer-specific genes, indicating that maternal Bicc1 is crucial for normal embryonic patterning of the vertebrate embryo. Bicc1 is an RNA-binding protein with robust translational repression function. Here, we show that the maternal mRNA encoding the cell-fate regulatory protein Wnt11b is a direct target of Bicc1-mediated repression. It is well established that the Wnt signaling pathway is crucial to vertebrate embryogenesis. Thus, the work presented here links the molecular function of Bicc1 in mRNA target-specific translation repression to its biological role in the maternally controlled stages of vertebrate embryogenesis. Summary: Maternally deposited Bicaudal-C, an RNA-binding protein, controls Xenopus early embryonic patterning by repressing translation of cell fate regulators, including Wnt11b.
Internet Security Threats and Risks for Alpha Generation in Indonesia

The Internet can be a wonderful place for learning, shopping, playing games, and connecting with our friends. Unfortunately, there are also predators, identity thieves, and so on online, that might try us. To be safe online, it is important for us and our children to be aware of the dangers. The purpose of this research is to find out how dangerous and how big the influence of the internet is on minors. Here the researcher uses quantitative methods to formulate Internet strategies for minors. The results of this research can be formulated that the use of the internet for minors is very dangerous because there are many negative impacts of the internet that can make children lazy, minors can use the internet with the assistance of parents and make the internet a means of learning for children to grow and develop. With this, it can be said that the role of parents is very important for children when using the internet so that no dangerous things can be accessed by children when using the internet.
Spurious correlations and inference in landscape genetics

Reliable interpretation of landscape genetic analyses depends on statistical methods that have high power to identify the correct process driving gene flow while rejecting incorrect alternative hypotheses. Little is known about statistical power and inference in individual‐based landscape genetics. Our objective was to evaluate the power of causal‐modelling with partial Mantel tests in individual‐based landscape genetic analysis. We used a spatially explicit simulation model to generate genetic data across a spatially distributed population as functions of several alternative gene flow processes. This allowed us to stipulate the actual process that is in action, enabling formal evaluation of the strength of spurious correlations with incorrect models. We evaluated the degree to which naïve correlational approaches can lead to incorrect attribution of the driver of observed genetic structure. Second, we evaluated the power of causal modelling with partial Mantel tests on resistance gradients to correctly identify the explanatory model and reject incorrect alternative models. Third, we evaluated how rapidly after the landscape genetic process is initiated that we are able to reliably detect the effect of the correct model and reject the incorrect models. Our analyses suggest that simple correlational analyses between genetic data and proposed explanatory models produce strong spurious correlations, which lead to incorrect inferences. We found that causal modelling was extremely effective at rejecting incorrect explanations and correctly identifying the true causal process. We propose a generalized framework for landscape genetics based on analysis of the spatial genetic relationships among individual organisms relative to alternative hypotheses that define functional relationships between landscape features and spatial population processes.
Evaluation of monthly changes in essential oil yield and components of cherry laurel (Prunus laurocerasus L.) leaf

This research was carried out to examine the monthly changes in both the volatile oil content and volatile components of cherry laurel leaves by taking samples every month for 12 months in Turkey. Harvest periods significantly affected volatile oil content (P < 0.01). Depending on harvest periods, volatile oil ratios ranged from 0.19 to 0.35%. The months of August, July, and September yielded the highest volatile oil ratios. Benzaldehyde, phenol, benzoic acid, benzeneacetonitrile, pentadecanone, 1,54-dibromotetrapentacontane and, tetrapentacontane were determined as components in the volatile oil. The ratio of benzaldehyde, the main active ingredient, varied between 83.89 and 94.41%, depending on the harvest time. The cherry laurel leaf should be harvested in July, August, and September for high essential oil ratios and in May, June, and July for high benzaldehyde ratios. Due to the high concentration of benzaldehyde in its volatile oil, cherry laurel evergreen leaf can be considered a valuable source of raw materials for the fragrance and pharmaceutical sectors.
Increases in sampling support the southern Gondwanan hypothesis for the origin of dinosaurs

Dinosaurs were ubiquitous in terrestrial ecosystems through most of the Mesozoic and are still diversely represented in the modern fauna in the form of birds. Recent efforts to better understand the origins of the group have resulted in the discovery of many new species of early dinosaur and their closest relatives (dinosauromorphs). In addition, recent re‐examinations of early dinosaur phylogeny have highlighted uncertainties regarding the interrelationships of the main dinosaur lineages (Sauropodomorpha, Theropoda and Ornithischia), and questioned the traditional hypothesis that the group originated in South Gondwana and gradually dispersed over Pangaea. Here, we use an historical approach to examine the impact of new fossil discoveries and changing phylogenetic hypotheses on biogeographical scenarios for dinosaur origins over 20 years of research time, and analyse the results in the light of different fossil record sampling regimes. Our results consistently optimize South Gondwana as the ancestral area for Dinosauria, as well as for more inclusive clades including Dinosauromorpha, and show that this hypothesis is robust to increased taxonomic and geographic sampling and divergent phylogenetic results. Our results do not find any support for the recently proposed Laurasian origin of dinosaurs and suggest that a southern Gondwanan origin is by far the most plausible given our current knowledge of the diversity of early dinosaurs and non‐dinosaurian dinosauromorphs.
Tourniquets May Increase Postoperative Swelling and Pain after Internal Fixation of Ankle Fractures

Tourniquets frequently are used in orthopaedic surgery to provide a bloodless field. There is still controversy among authors regarding the benefits and potential risks of using a tourniquet. The objective of this prospective randomized study was to quantify the effect of tourniquet use on postoperative swelling, pain, and range of motion after open reduction and internal fixation of ankle fractures. Fifty-four patients with closed ankle fractures were treated surgically; 26 patients were operated on using a thigh tourniquet (Group A), and 28 patients had surgery without the use of a tourniquet (Group B). The groups of patients were similar for age, gender, fracture types, and operative procedures. There was no difference in operation time. Using a tourniquet during open reduction and internal fixation of ankle fractures did increase postoperative swelling and postoperative pain at Day 5 and at Week 6 after surgery. We found a trend for a better range of motion in the ankle until the 6-week followup in the nontourniquet group compared with the group in which the tourniquet was inflated. According to these results we do not recommend using a tourniquet for osteosynthesis of ankle fractures. Level of Evidence: Therapeutic study, Level I-1 (randomized controlled trial). See the Guidelines for Authors for a complete description of levels of evidence.
DC-Modulated Power Factor Correction on AC/AC Luo-Converter

Power factor correction (PFC) is the capacity of generating or absorbing the reactive power produced by a load. AC/AC converters are the most popular structure widely applied in various industrial applications, which are traditionally implemented by voltage regulation technique. However, they have high total harmonic distortion (THD), low power factor (PF) and poor power transfer efficiency (n). This paper introduces a novel approach method C-modulation that implements DC/DC conversion technology into the AC/AC converters. The DC-modulated power factor correction on AC/AC Luo-converter effectively improved the power factor up to PF = 0.999 and the power transfer efficiency n up to 97.8 %. The experimental results verified our design and calculation. This technique will be widely applied in many industrial applications