Miracle-dz/UniFAR-FTUs huggingface dataset:
Untrained Chimpanzees (Pan troglodytes schweinfurthii) Fail to Imitate Novel Actions

Background Social learning research in apes has focused on social learning in the technical (problem solving) domain - an approach that confounds action and physical information. Successful subjects in such studies may have been able to perform target actions not as a result of imitation learning but because they had learnt some technical aspect, for example, copying the movements of an apparatus (i.e., different forms of emulation learning). Methods Here we present data on action copying by non-enculturated and untrained chimpanzees when physical information is removed from demonstrations. To date, only one such study (on gesture copying in a begging context) has been conducted – with negative results. Here we have improved this methodology and have also added non-begging test situations (a possible confound of the earlier study). Both familiar and novel actions were used as targets. Prior to testing, a trained conspecific demonstrator was rewarded for performing target actions in view of observers. All but one of the tested chimpanzees already failed to copy familiar actions. When retested with a novel target action, also the previously successful subject failed to copy – and he did so across several contexts. Conclusion Chimpanzees do not seem to copy novel actions, and only some ever copy familiar ones. Due to our having tested only non-enculturated and untrained chimpanzees, the performance of our test subjects speak more than most other studies of the general (dis-)ability of chimpanzees to copy actions, and especially novel actions.
Guided region prefetching: a cooperative hardware/software approach

Despite large caches, main-memory access latencies still cause significant performance losses in many applications. Numerous hardware and software prefetching schemes have been proposed to tolerate these latencies. Software prefetching typically provides better prefetch accuracy than hardware, but is limited by prefetch instruction overheads and the compiler's limited ability to schedule prefetches sufficiently far in advance to cover level-two cache miss latencies. Hardware prefetching can be effective at hiding these large latencies, but generates many useless prefetches and consumes considerable memory bandwidth. We propose a cooperative hardware-software prefetching scheme called guided region prefetching (GRP), which uses compiler-generated hints encoded in load instructions to regulate an aggressive hardware prefetching engine. We compare GRP against a sophisticated pure hardware stride prefetcher and a scheduled region prefetching (SRP) engine. SRP and GRP show the best performance, with respective 22% and 21% gains over no prefetching, but SRP incurs 180% extra memory traffic-nearly tripling bandwidth requirements. GRP achieves performance close to SRP, but with a mere eighth of the extra prefetching traffic, a 23% increase over no prefetching. The GRP hardware-software collaboration thus combines the accuracy of compiler-based program analysis with the performance potential of aggressive hardware prefetching, bringing the performance gap versus a perfect L2 cache under 20%.
A Method Based on Genetic Programming for Improving the Quality of Datasets in Classification Problems

The problem of the representation of data is a key issue in the Machine Learning (ML) field. ML tries to automatically induct knowledge from a set of examples or instances of a problem, learning how to distinguish between the different classes. It is known that inappropriate representations of the data can drastically limit the performance of ML algorithms. On the other hand, a high-quality representation of the same data, can produce a strong improvement in classification rates. In this work we present a GP-based method for automatically evolve projections. These projections change the data space of a classification problem into a higher-quality one, thus improving the performance of ML algorithms. At the same time, our approach can reduce dimensionality by constructing more relevant attributes. We have tested our approach in four domains. The experiments show that it obtains good results, compared to other ML approaches that do not use our projections, while reducing dimensionality in many cases.
The Relationships Between Biological Activities and Structure of Flavan-3-Ols

Flavan-3-ols are involved in multiple metabolic pathways that induce inhibition of cell proliferation. We studied the structure-activity relationship of gallic acid (GA) and four flavan-3-ols: epigallocatechin gallate (EGCG), epigallocatechin (EGC), catechin (C), and epicatechin (EC). We measured the cell viability by the MTT assay and we determined the concentration of testing compound required to reduce cell viability by 50% (IC50). All tested compounds showed a dose-dependent and time-dependent inhibitory antiproliferative effect on Hs578T cells; IC50 values varying from the 15.81 to 326.8 μM. Intracellular ROS (reactive oxygen species) were quantified using a fluorescent probe 2′,7′-dichlorofluorescin diacetate (DCFH-DA). Only the treatment with 10 μM EGC and EGCG was able to induce a significant decrease of ROS concentration and increased levels of ROS were registered for 100 μM EGCG, EGC and GA. Flavans-3-ols and GA induced apoptosis in a dose- and time-dependent manner, which indicated that the induction of apoptosis mediated their cytotoxic activity at least partially. The galloylated catechins have shown a stronger antiproliferative activity and apoptotic effect than the one produced by non galloylated catechins. The galloylated flavan-3-ols are potential therapeutic agents for patients with triple negative breast cancer via induction of apoptosis.
Keeping community health workers in Uganda motivated: key challenges, facilitators, and preferred program inputs

In Uganda, community-based health programs using volunteers should focus on strengthening support systems to address transportation and stockout issues and on improving links with the health structure while reinforcing effort recognition, status, and acquisition of new skills. In Uganda, community-based health programs using volunteers should focus on strengthening support systems to address transportation and stockout issues and on improving links with the health structure while reinforcing effort recognition, status, and acquisition of new skills. Introduction: In the face of global health worker shortages, community health workers (CHWs) are an important health care delivery strategy for underserved populations. In Uganda, community-based programs often use volunteer CHWs to extend services, including family planning, in rural areas. This study examined factors related to CHW motivation and level of activity in 3 family planning programs in Uganda. Methods: Data were collected between July and August 2011, and sources comprised 183 surveys with active CHWs, in-depth interviews (IDIs) with 43 active CHWs and 5 former CHWs, and service statistics records. Surveys included a discrete choice experiment (DCE) to elicit CHW preferences for selected program inputs. Results: Service statistics indicated an average of 56 visits with family planning clients per surveyed CHW over the 3-month period prior to data collection. In the survey, new skills and knowledge, perceived impact on the community, and enhanced status were the main positive aspects of the job reported by CHWs; the main challenges related to transportation. Multivariate analyses identified 2 correlates of CHWs being highly vs. less active (in terms of number of client visits): experiencing problems with supplies and not collaborating with peers. DCE results showed that provision of a package including a T-shirt, badge, and bicycle was the program input CHWs preferred, followed by a mobile phone (without airtime). IDI data reinforced and supplemented these quantitative findings. Social prestige, social responsibility, and aspirations for other opportunities were important motivators, while main challenges related to transportation and commodity stockouts. CHWs had complex motivations for wanting better compensation, including offsetting time and transportation costs, providing for their families, and feeling appreciated for their efforts. Conclusion: Volunteer CHW programs in Uganda and elsewhere need to carefully consider appropriate combinations of financial and nonfinancial inputs for optimal results.
Does R&D Stimulate Firm’s Efficiency in the Indonesian Manufacturing Sector?

The impact of research and development (R&D) spending has been shown significantly in promoting country’s economic growth and productivity. Hence, we examine the research question by employing Indonesian manufacturing firm-level dataset in the years of 2017–2019 and by using Stochastic Frontier Analysis (SFA) to reveal whether heterogeneous firm’s R&D spending contributes to the efficiency performance of the company. The finding reveals the robust positive effect of R&D spending to the efficiency performance, which implies that firms allocating more R&D spending will perform better efficiency due to, for example, managerial expertise improvements. An interesting finding is shown by the interaction model for which larger R&D allocated by foreign firm will boost better efficiency than that allocated by domestic firms, supporting prior arguments that foreign firm can be the driver of innovation as they are more likely to be closer to the world technology frontier. Several policy implications are suggested such as in-house R&D program to encourage human capital development and tax incentive to avoid market rivalry with foreign firms.
Mitochondrial permeabilization relies on BH3 ligands engaging multiple prosurvival Bcl-2 relatives, not Bak

The Bcl-2 family regulates apoptosis by controlling mitochondrial integrity. To clarify whether its prosurvival members function by sequestering their Bcl-2 homology 3 (BH3)–only ligands or their multidomain relatives Bak and Bax, we analyzed whether four prosurvival proteins differing in their ability to bind specific BH3 peptides or Bak could protect isolated mitochondria. Most BH3 peptides could induce temperature-dependent cytochrome c release, but permeabilization was prevented by Bcl-xl, Bcl-w, Mcl-1, or BHRF1. However, their protection correlated with the ability to bind Bak rather than the added BH3 peptide and could be overcome only by BH3 peptides that bind directly to the appropriate prosurvival member. Mitochondria protected by both Bcl-xl–like and Mcl-1 proteins were disrupted only by BH3 peptides that engage both. BH3-only reagents freed Bak from Bcl-xl and Mcl-1 in mitochondrial and cell lysates. The findings support a model for the control of apoptosis in which certain prosurvival proteins sequester Bak/Bax, and BH3-only proteins must neutralize all protective prosurvival proteins to allow Bak/Bax to induce mitochondrial disruption.
Invasion of brain microvascular endothelial cells by group B streptococci

Group B streptococci (GBS) are the leading cause of meningitis in newborns. Although meningitis develops following bacteremia, the precise mechanism or mechanisms whereby GBS leave the bloodstream and gain access to the central nervous system (CNS) are not known. We hypothesized that GBS produce meningitis because of a unique capacity to invade human brain microvascular endothelial cells (BMEC), the single-cell layer which constitutes the blood-brain barrier. In order to test this hypothesis, we developed an in vitro model with BMEC isolated from a human, immortalized by simian virus 40 transformation, and propagated in tissue culture monolayers. GBS invasion of BMEC monolayers was demonstrated by electron microscopy. Intracellular GBS were found within membrane-bound vacuoles, suggesting the organism induced its own endocytic uptake. GBS invasion of BMEC was quantified with a gentamicin protection assay. Serotype III strains, which account for the majority of CNS isolates, invaded BMEC more efficiently than strains from other common GBS serotypes. GBS survived within BMEC for up to 20 h without significant intracellular replication. GBS invasion of BMEC required active bacterial DNA, RNA, and protein synthesis, as well as microfilament and microtubule elements of the eukaryotic cytoskeleton. The polysaccharide capsule of GBS attenuated the invasive ability of the organism. At high bacterial densities, GBS invasion of BMEC was accompanied by evidence of cellular injury; this cytotoxicity was correlated to beta-hemolysin production by the bacterium. Finally, GBS demonstrated transcytosis across intact, polar BMEC monolayers grown on Transwell membranes. GBS invasion of BMEC may be a primary step in the pathogenesis of meningitis, allowing bacteria access to the CNS by transcytosis or by injury and disruption of the endothelial blood-brain barrier.
The bisphosphonate, zoledronic acid, induces apoptosis of breast cancer cells: evidence for synergy with paclitaxel

Bisphosphonates are well established in the management of breast-cancer-induced bone disease. Recent studies have suggested that these compounds are effective in preventing the development of bone metastases. However, it is unclear whether this reflects an indirect effect via an inhibition of bone resorption or a direct anti-tumour effect. The breast cancer cell lines, MCF-7 and MDA-MB-231 cells were treated with increasing concentrations of the bisphosphonate, zoledronic acid, for varying time periods, in the presence or absence of paclitaxel. The effects of zoledronic acid were determined by assessing cell number and rate of apoptosis by evaluating changes in nuclear morphology and using a fluorescence nick translation assay. Zoledronic acid caused a dose- and time-dependent decrease in cell number (P< 0.001) and a concomitant increase in tumour cell apoptosis (P< 0.005). Short-term exposure to zoledronic acid was sufficient to cause a significant reduction in cell number and increase in apoptosis (P< 0.05). These effects could be prevented by incubation with geranyl geraniol, suggesting that zoledronic acid-induced apoptosis is mediated by inhibiting the mevalonate pathway. Treatment with zoledronic acid and clinically achievable concentrations of paclitaxel resulted in a 4–5-fold increase in tumour cell apoptosis (P< 0.02). Isobologram analysis revealed synergistic effects on tumour cell number and apoptosis when zoledronic acid and paclitaxel were combined. Short-term treatment with zoledronic acid, which closely resembles the clinical setting, has a clear anti-tumour effect on breast cancer cells. Importantly, the commonly used anti-neoplastic agent, paclitaxel, potentiates the anti-tumour effects of zoledronic acid. These data suggest that, in addition to inhibiting bone resorption, zoledronic acid has a direct anti-tumour activity on breast cancer cells in vitro. © 2001 Cancer Research Campaign
Variability in responses to nutrients and trace elements, and transmission of stressor effects through an estuarine food web

Aquatic systems are increasingly exposed to multiple stressors from anthropogenic sources. These stressors can vary in the consistency and magnitude of responses they elicit in biota and in how the presence of additional stressors modifies their effects. Understanding how the biological environment and temporal dynamics influence responses to stressors, and how stressors interact, is important to predicting their effects in the natural environment. We examined temporal variability in responses of an experimental estuarine food web to elevated trace elements and nutrients, as well as non‐additive effects of the combination of these two stressors. Experiments were conducted four times during spring through autumn 1996 in 20 l‐m3 mesocosms. We measured a range of system‐, population‐, and individual‐level parameters to quantify responses of phytoplankton, bacterioplankton, heterotrophic nanoflagellates, copepods, fish, and benthic invertebrates to trace element and nutrient additions. The response to trace element additions was more variable both temporally and among phytoplankton and higher trophic level taxa than was the response to nutrient additions. Most taxa increased, either significantly or showed a trend toward increasing, in response to nutrient additions in all four mesocosm runs. In contrast, the direction as well as the magnitude of responses to trace element additions varied considerably among taxa and experimental runs. Two distinct types of nutrient3trace element interactions were important. First, temporal dynamics of nutrient ratios appeared to affect the temporal pattern of toxicity of trace elements to phytoplankton. Second, in the June mesocosm run when trace element additions reduced production, abundance, or growth of many organisms, these reductions were often proportionately greater in nutrient addition tanks than where no nutrients were added. Our results suggest that considerable temporal and taxonomic variation in responses to trace element loadings are likely to be seen in field settings even under constant loadings to the system and that trace elements may mask the magnitude of the response to high nutrient loadings in eutrophic systems. More generally, the presence of multiple stressors may either increase or dampen the temporal and spatial variability seen in aquatic systems, depending on the interactions among stressors and the influence of background environmental conditions and sensitive species on the expression of stressor effects.
Punctuated evolution and transitional hybrid network in an ancestral cell cycle of fungi

Although cell cycle control is an ancient, conserved, and essential process, some core animal and fungal cell cycle regulators share no more sequence identity than non-homologous proteins. Here, we show that evolution along the fungal lineage was punctuated by the early acquisition and entrainment of the SBF transcription factor through horizontal gene transfer. Cell cycle evolution in the fungal ancestor then proceeded through a hybrid network containing both SBF and its ancestral animal counterpart E2F, which is still maintained in many basal fungi. We hypothesize that a virally-derived SBF may have initially hijacked cell cycle control by activating transcription via the cis-regulatory elements targeted by the ancestral cell cycle regulator E2F, much like extant viral oncogenes. Consistent with this hypothesis, we show that SBF can regulate promoters with E2F binding sites in budding yeast.
Deep Hashing Based Fusing Index Method for Large-Scale Image Retrieval

Hashing has been widely deployed to perform the Approximate Nearest Neighbor (ANN) search for the large-scale image retrieval to solve the problem of storage and retrieval efficiency. Recently, deep hashing methods have been proposed to perform the simultaneous feature learning and the hash code learning with deep neural networks. Even though deep hashing has shown the better performance than traditional hashing methods with handcrafted features, the learned compact hash code from one deep hashing network may not provide the full representation of an image. In this paper, we propose a novel hashing indexing method, called the Deep Hashing based Fusing Index (DHFI), to generate a more compact hash code which has stronger expression ability and distinction capability. In our method, we train two different architecture’s deep hashing subnetworks and fuse the hash codes generated by the two subnetworks together to unify images. Experiments on two real datasets show that our method can outperform state-of-the-art image retrieval applications.
Neuroengineering Original Research Article Substrate Arrays of Iridium Oxide Microelectrodes for in Vitro Neuronal Interfacing Materials and Methods Irox Microelectrodes Arrays

The design of novel bidirectional interfaces for in vivo and in vitro nervous systems is an important step towards future functional neuroprosthetics. Small electrodes, structures and devices are necessary to achieve high-resolution and target-selectivity during stimulation and recording of neuronal networks, while signifi cant charge transfer and large signal-to-noise ratio are required for accurate time resolution. In addition, the physical properties of the interface should remain stable across time, especially when chronic in vivo applications or in vitro long-term studies are considered, unless a procedure to actively compensate for degradation is provided. In this short report, we describe the use and fabrication of arrays of 120 planar microelectrodes (MEAs) of sputtered Iridium Oxide (IrOx). The effective surface area of individual microelectrodes is signifi cantly increased using electrochemical activation, a procedure that may also be employed to restore the properties of the electrodes as required. The electrode activation results in a very low interface impedance, especially in the lower frequency domain, which was characterized by impedance spectroscopy. The increase in the roughness of the microelectrodes surface was imaged using digital holographic microscopy and electron microscopy. Aging of the activated electrodes was also investigated, comparing storage in saline with storage in air. Demonstration of concept was achieved by recording multiple single-unit spike activity in acute brain slice preparations of rat neocortex. Data suggests that extracellular recording of action potentials can be achieved with planar IrOx MEAs with good signal-to-noise ratios. both of these requirements. This short paper will examine and discuss the use of arrays of activated IrOx electrodes, and their use for short-term in vitro extracellular recording of neuronal electrical activity. We report preliminary results employing neocortical acute tissue slices of the rat brain, selected as a target example to charac-terise IrOx electrode ageing and the recording of weak spontaneous electrical activity (Egert et al., 2002). In this context, in vitro simultaneous multisite recording of the spontaneous and evoked electrical activity of the nervous system represent an important step towards the understanding of the network-level and single-cell correlates of many (patho)physiological mechanisms (Rinaldi et al., 2007; Silberberg and Markram, 2007), as well as a crucial requirement for the validation of large-scale mathematical models and theories through a custom technological process (Figure 1). Briefl y, a reversal photoresist lift-off
Hepatic and Nephric NRF2 Pathway Up-Regulation, an Early Antioxidant Response, in Acute Arsenic-Exposed Mice

Inorganic arsenic (iAs), a proven human carcinogen, damages biological systems through multiple mechanisms, one of them being reactive oxygen species (ROS) production. NRF2 is a redox-sensitive transcription factor that positively regulates the genes of encoding antioxidant and detoxification enzymes to neutralize ROS. Although NRF2 pathway activation by iAs has been reported in various cell types, however, the experimental data in vivo are very limited and not fully elucidated in humans. The present investigation aimed to explore the hepatic and nephric NRF2 pathway upregulation in acute arsenic-exposed mice in vivo. Our results showed 10 mg/kg NaAsO2 elevated the NRF2 protein and increased the transcription of Nrf2 mRNA, as well as up-regulated NRF2 downstream targets HO-1, GST and GCLC time- and dose-dependently both in the liver and kidney. Acute NaAsO2 exposure also resulted in obvious imbalance of oxidative redox status represented by the increase of GSH and MDA, and the decrease of T-AOC. The present investigation reveals that hepatic and nephric NRF2 pathway expression is an early antioxidant defensive response upon iAs exposure. A better knowledge about the NRF2 pathway involvment in the cellular response against arsenic could help improve the strategies for reducing the cellular toxicity related to this metalloid.