Miracle-dz/UniFAR-FTUs huggingface dataset:
The Uneven Reach of Decentralization: A Case Study among Indigenous Peoples in the Bolivian Amazon

Decentralization reforms aim at strengthening democracy by promoting political participation among citizens. Research shows (1) that information is a prerequisite for political participation and (2) that people face different private costs in acquiring information. Here we combine the two lines of research and ask: what private costs hamper the acquisition of information on decentralization? For the analysis, we use data from an indigenous population of lowland Bolivia. We surveyed 319 Tsimane’ adults in 12 villages. We found that nine years after the passage of the decentralization laws, knowledge about those reforms had only partially reached the Tsimane’. People who live closer to municipal towns, had more schooling, and participated in the market economy were more aware of decentralization. Political authorities trying to spread the potential benefits of decentralization should address the structural limitations of the dissemination of political knowledge.
Increased thermogenesis by a noncanonical pathway in ANGPTL3/8-deficient mice

Significance White adipose tissue (WAT) serves as an energy reservoir during fasting and is replenished with fatty acids from circulating triglycerides upon refeeding. We showed previously that postprandial partitioning of fatty acids between oxidative and storage tissues is mediated by angiopoietin-like proteins 3 (A3) and 8 (A8). Here, we show that disruption of both Angptl3 and Angptl8 in mice causes striking alterations in energy metabolism: reduced fat mass, hyperthermia, increased metabolic rate, and beiging of subcutaneous WAT. The hypermetabolic features of the A3−/−A8−/− mice were most pronounced in fed animals, and attenuated with fasting and β3-adrenergic receptor blockade. These data indicate that A3 and A8 promote efficient energy utilization by tissues and limit the increase in energy expenditure associated with food intake. Dietary triglyceride (TG) is the most efficient energy substrate. It is processed and stored at substantially lower metabolic cost than is protein or carbohydrate. In fed animals, circulating TGs are preferentially routed for storage to white adipose tissue (WAT) by angiopoietin-like proteins 3 (A3) and 8 (A8). Here, we show that mice lacking A3 and A8 (A3−/−A8−/− mice) have decreased fat mass and a striking increase in temperature (+1 °C) in the fed (but not fasted) state, without alterations in food intake or physical activity. Subcutaneous WAT (WAT-SQ) from these animals had morphologic and metabolic changes characteristic of beiging. O2 consumption rates (OCRs) and expression of genes involved in both fatty acid synthesis and fatty acid oxidation were increased in WAT-SQ of A3−/−A8−/− mice, but not in their epididymal or brown adipose tissue (BAT). The hyperthermic response to feeding was blocked by maintaining A3−/−A8−/− mice at thermoneutrality or by treating with a β3-adrenergic receptor (AR) antagonist. To determine if sympathetic stimulation was sufficient to increase body temperature in A3−/−A8−/− mice, WT and A3−/−A8−/− animals were maintained at thermoneutrality and then treated with a β3-AR agonist; treatment induced hyperthermia in A3−/−A8−/−, but not WT, mice. Antibody-mediated inactivation of both circulating A3 and A8 induced hyperthermia in WT mice. Together, these data indicate that A3 and A8 are essential for efficient storage of dietary TG and that disruption of these genes increases feeding-induced thermogenesis and energy utilization.
On the role of the H-2 histocompatibility complex in determining the specificity of cytotoxic effector cells sensitized against syngeneic trinitrophenyl-modified targets

Spleen cells cultured with syngeneic trinitrophenyl (TNP)-modified stimulator cells display a cytotoxic effect against syngeneic TNP- modified targets, but not against modified targets from unrelated H-2 haplotypes. Targets that share the K and I region of the H-2 complex with the stimulator (or effector) cell are lysed to the same extent as the specific targets, while targets that share the I region only are not. When only the D region is shared, a weak cytotoxic effect is observed. Therefore, the stimulator (or effector) and target cell must share the K or D but not the I region of the H-2 complex in order for optimal cytotoxicity to occur. Spleen cells sensitized to irradiated TNP-modified H-2-allogeneic cells are cytotoxic to these specific cells. Coculture of F1 hybrid cells with irradiated TNP-modified parental cells result in a cytotoxic effect against only those specific parental cells and not TNP-modified cells from the other parent. The cytotoxic effect of the F1 effector cells in the cell-mediated lympholysis test is blocked by the addition of unlabeled TNP-modified targets that are H-2 syngeneic with the sensitizing parental strain, but not H-2 syngeneic with the other parental strain. These data demonstrate that the specificity of the effector cell in this syngeneic cytotoxicity system is directed against altered self H-2-controlled- gene products, rather than a requirement for sharing of histocompatibility genes between effector and target cell in order for lysis to occur. The role of H-2 antigens in determining the sensitivity of a target cell to T-cell-mediated lysis is discussed.
Memory bank predictors

Cache memories are commonly implemented through multiple memory banks to improve bandwidth and latency. The early knowledge of the data cache bank that an instruction will access can help to improve the performance in several ways. One scenario that is likely to become increasingly important is clustered microprocessors with a distributed cache. This work presents a study of different cache bank predictors. We show that effective bank predictors can be implemented with relatively low cost. For instance, a predictor of approximately 4 Kbytes is shown to achieve an average hit rate of 78% for SPECint2000 when used to predict accesses to an 8-bank cache memory in a contemporary superscalar processor. We also show how a predictor can be used to reduce the communication latency caused by memory accesses in a clustered microarchitecture with a distributed cache design.
Optimized Smart Grid Energy Procurement for LTE Networks Using Evolutionary Algorithms

Energy efficiency aspects in cellular networks can contribute significantly to reducing worldwide greenhouse gas emissions. The base station (BS) sleeping strategy has become a well-known technique to achieve energy savings by switching off redundant BSs mainly for lightly loaded networks. Moreover, introducing renewable energy as an alternative power source has become a real challenge among network operators. In this paper, we formulate an optimization problem that aims to maximize the profit of Long-Term Evolution (LTE) cellular operators and to simultaneously minimize the CO2 emissions in green wireless cellular networks without affecting the desired quality of service (QoS). The BS sleeping strategy lends itself to an interesting implementation using several heuristic approaches, such as the genetic (GA) and particle swarm optimization (PSO) algorithms. In this paper, we propose GA-based and PSO-based methods that reduce the energy consumption of BSs by not only shutting down underutilized BSs but by optimizing the amounts of energy procured from different retailers (renewable energy and electricity retailers), as well. A comparison with another previously proposed algorithm is also carried out to evaluate the performance and the computational complexity of the employed methods.
Symbiotic prokaryotic communities from different populations of the giant barrel sponge, Xestospongia muta

The prokaryotic community composition of the ecologically dominant sponge, Xestospongia muta, and the variability of this community across in different populations of sponges from the Caribbean and Bahamas were quantified using 454 pyrosequencing of the 16S rRNA gene. The symbiotic prokaryotic communities of X. muta were significantly different than the surrounding bacterioplankton communities while an analysis of similarity (ANOSIM) of the sponge prokaryotic symbionts from three geographically distant sites showed that both symbiont and bacterioplankton populations were significantly different between locations. Comparisons of individual sponges based on the UniFrac P‐test also revealed significant differences in community composition between individual sponges. The sponges harbored a variety of phylum level operational taxonomic units (OTUs) common to many sponges, including Cyanobacteria, Poribacteria, Acidobacteria, Chloroflexi, and Gemmatimonadetes, but four additional symbiotic phyla, previously not reported for this sponge, were observed. Additionally, a diverse archaeal community was also recovered from X. muta including sequences representing the phyla Euryarchaeota and Thaumarchaeota. These results have important ecological implications for the understanding of host–microbe associations, and provide a foundation for future studies addressing the functional roles these symbiotic prokaryotes have in the biology of the host sponge and the nutrient biogeochemistry of coral reefs.
Software challenges in extreme scale systems

Computer systems anticipated in the 2015 – 2020 timeframe are referred to as Extreme Scale because they will be built using massive multi-core processors with 100's of cores per chip. The largest capability Extreme Scale system is expected to deliver Exascale performance of the order of 1018 operations per second. These systems pose new critical challenges for software in the areas of concurrency, energy efficiency and resiliency. In this paper, we discuss the implications of the concurrency and energy efficiency challenges on future software for Extreme Scale Systems. From an application viewpoint, the concurrency and energy challenges boil down to the ability to express and manage parallelism and locality by exploring a range of strong scaling and new-era weak scaling techniques. For expressing parallelism and locality, the key challenges are the ability to expose all of the intrinsic parallelism and locality in a programming model, while ensuring that this expression of parallelism and locality is portable across a range of systems. For managing parallelism and locality, the OS-related challenges include parallel scalability, spatial partitioning of OS and application functionality, direct hardware access for inter-processor communication, and asynchronous rather than interrupt-driven events, which are accompanied by runtime system challenges for scheduling, synchronization, memory management, communication, performance monitoring, and power management. We conclude by discussing the importance of software-hardware co-design in addressing the fundamental challenges for application enablement on Extreme Scale systems.
Network Unfolding Map by Vertex-Edge Dynamics Modeling

The emergence of collective dynamics in neural networks is a mechanism of the animal and human brain for information processing. In this paper, we develop a computational technique using distributed processing elements in a complex network, which are called particles, to solve semisupervised learning problems. Three actions govern the particles’ dynamics: generation, walking, and absorption. Labeled vertices generate new particles that compete against rival particles for edge domination. Active particles randomly walk in the network until they are absorbed by either a rival vertex or an edge currently dominated by rival particles. The result from the model evolution consists of sets of edges arranged by the label dominance. Each set tends to form a connected subnetwork to represent a data class. Although the intrinsic dynamics of the model is a stochastic one, we prove that there exists a deterministic version with largely reduced computational complexity; specifically, with linear growth. Furthermore, the edge domination process corresponds to an unfolding map in such way that edges “stretch” and “shrink” according to the vertex-edge dynamics. Consequently, the unfolding effect summarizes the relevant relationships between vertices and the uncovered data classes. The proposed model captures important details of connectivity patterns over the vertex-edge dynamics evolution, in contrast to the previous approaches, which focused on only vertex or only edge dynamics. Computer simulations reveal that the new model can identify nonlinear features in both real and artificial data, including boundaries between distinct classes and overlapping structures of data.
Rhodopsin transgenic pigs as a model for human retinitis pigmentosa.

PURPOSE To further characterize the retinas of Pro3471Leu rhodopsin transgenic pigs, a model for human retinitis pigmentosa. METHODS Retinas from normal and transgenic pigs, newborn to 20 months old, were processed for light and electron microscopic immunocytochemical examination. RESULTS At birth, rod numbers were normal in the transgenic retinas, but their outer segments were short and disorganized and their inner segments contained stacks of rhodopsin-positive membranes. The newborn rod synapses lacked synaptic vesicles and ribbons and had numerous rhodopsin-positive, filopodia-like processes that extended past the cone synapses into the outer plexiform layer. Rod cell death was apparent by 2 weeks and was pronounced in the mid periphery and central regions by 6 weeks. Far peripheral rods were initially better preserved, but by 9 months virtually all rods had degenerated. Cones degenerated more slowly than rods, but by 4 weeks the cone synapses were shrunken and some mid peripheral cones had lost their immunoreactivity for phosphodiesterase-gamma, arrestin, and recoverin. From 9 months to 20 months, the cone outer segments shortened progressively, and more cones lost immunoreactivity for these proteins. CONCLUSIONS The rhodopsin transgenic pig retina shares many cytologic features with human retinas with retinitis pigmentosa and provides an opportunity to examine the earliest stages in photoreceptor degeneration, about which little is known in humans. The finding of abnormal rhodopsin localization in newborn rods is consistent with misrouting of mutant rhodopsin as an early process leading to rod cell death. Novel changes in the photoreceptor synapses may correlate with early electrophysiological abnormalities in these retinas.
Trastuzumab emtansine in human epidermal growth factor receptor 2-positive metastatic breast cancer: an integrated safety analysis.

PURPOSE The antibody-drug conjugate trastuzumab emtansine (T-DM1) combines the cytotoxic activity of DM1 with the human epidermal growth factor receptor 2 (HER2) -targeted, antitumor properties of trastuzumab. T-DM1 has shown activity in phase I and II single-arm studies in patients with pretreated HER2-positive metastatic breast cancer (MBC) and has demonstrated superior efficacy and improved tolerability versus standard MBC treatments in randomized phase II and III studies. This analysis, combining available data from all single-agent T-DM1 studies to date, was conducted to better define the T-DM1 safety profile. PATIENTS AND METHODS Six studies in patients with HER2-positive MBC who received T-DM1 3.6 mg/kg every 3 weeks and follow-up data from patients in an extension study were analyzed. Analyses included adverse events (AEs) by grade; AEs leading to death, drug discontinuation, or dose reduction; and select AEs. RESULTS Among 884 T-DM1-exposed patients, the most commonly reported all-grade AEs were fatigue (46.4%), nausea (43.0%), thrombocytopenia (32.2%), headache (29.4%), and constipation (26.5%). The most common grade 3 to 4 AEs were the laboratory abnormalities of thrombocytopenia (11.9%) and increased AST serum concentration (4.3%). These were manageable and not generally associated with clinical symptoms. There were 12 AE-related deaths. AEs resulted in dose reductions in 17.2% of patients and drug discontinuations in 7.0%. CONCLUSION In this analysis of 884 T-DM1-exposed patients, grade 3 or greater AEs were infrequent and typically asymptomatic and manageable. This favorable safety profile makes T-DM1 treatment suitable for exploration in other breast cancer settings.
The Clerkenwell scheme: assessing efficacy and cost of a psychiatric liaison service to a magistrates' court.

OBJECTIVE--To determine the efficacy of psychiatric liaison schemes to magistrates' courts in shortening the period that mentally ill accused people spend in custody between arrest, the provision of psychiatric reports, and admission to hospital under the Mental Health Act 1983 and to establish the direct costs of setting up such schemes. DESIGN--A nine month prospective study of court referrals and concurrent analysis of prison records. SETTING--An inner London magistrates' court (Clerkenwell) and a large remand prison (Brixton). PATIENTS--Consecutive series of 80 remand prisoners receiving psychiatric assessment through a liaison scheme; 50 remand prisoners placed on hospital orders by magistrates' courts after being remanded to prison for reports; 364 psychiatric prisoners undergoing second opinion assessments at a remand prison; 520 offenders in a remand prison placed on hospital orders. MAIN OUTCOME MEASURES--Comparison of lengths of time spent in custody for different stages of the assessment and disposal process. RESULTS--For the 50 remand prisoners assessed in prison the mean time from arrest to appearance in court with a psychiatric report was 33.7 days and from arrest to admission to hospital 50.8 days. For those examined in court under the liaison scheme the equivalent figures were 5.4 days (t = 12.63, p less than 0.0001) and 8.7 days (t = 13.04, p less than 0.0001). The number of hospital orders made at the court increased fourfold after the liaison scheme began. The additional direct costs of the scheme were negligible. CONCLUSION--Psychiatric liaison services to magistrates' courts can greatly reduce the length of time that offenders with mental disorders spend in custody. Such schemes may increase recognition of offenders suitable for admission to hospital. A scheme could be established in some areas within existing service provision.
Allelic Variation of the Lyme Disease Spirochete Adhesin DbpA Influences Spirochetal Binding to Decorin, Dermatan Sulfate, and Mammalian Cells

ABSTRACT After transmission by an infected tick, the Lyme disease spirochete, Borrelia burgdorferi sensu lato, colonizes the mammalian skin and may disseminate systemically. The three major species of Lyme disease spirochete—B. burgdorferi sensu stricto, B. garinii, and B. afzelii—are associated with different chronic disease manifestations. Colonization is likely promoted by the ability to bind to target tissues, and Lyme disease spirochetes utilize multiple adhesive molecules to interact with diverse mammalian components. The allelic variable surface lipoprotein decorin binding protein A (DbpA) promotes bacterial binding to the proteoglycan decorin and to the glycosaminoglycan (GAG) dermatan sulfate. To assess allelic variation of DbpA in GAG-, decorin-, and cell-binding activities, we expressed dbpA alleles derived from diverse Lyme disease spirochetes in B. burgdorferi strain B314, a noninfectious and nonadherent strain that lacks dbpA. Each DbpA allele conferred upon B. burgdorferi strain B314 the ability to bind to cultured kidney epithelial (but not glial or endothelial) cells, as well as to purified decorin and dermatan sulfate. Nevertheless, allelic variation of DbpA was associated with dramatic differences in substrate binding activity. In most cases, decorin and dermatan sulfate binding correlated well, but DbpA of B. afzelii strain VS461 promoted differential binding to decorin and dermatan sulfate, indicating that the two activities are separable. DbpA from a clone of B. burgdorferi strain N40 that can cause disseminated infection in mice displayed relatively low adhesive activity, indicating that robust DbpA-mediated adhesive activity is not required for spread in the mammalian host.
Your very own cloud [Tools & Toys]

As wireless Internet connectivity gets better, cloud storage-storing your data "out there," on Internet servers-seems more reasonable. But which cloud? It seems risky to store all your personal information on someone else's server. The company could go bankrupt, get hacked, or leak your data through sheer incompetence. Then there's the expense, usually in the form of a monthly fee. Meanwhile, storage drives are cheap, and home networking is easy. Why not set up your own cloud?
Synaptic transmission between dorsal root ganglion and dorsal horn neurons in culture: antagonism of monosynaptic excitatory postsynaptic potentials and glutamate excitation by kynurenate

Intracellular recording techniques have been used to provide information on the identity of excitatory sensory transmitters released at synapses formed between dorsal root ganglion (DRG) and dorsal horn neurons maintained in cell culture. Explants of embryonic rat DRG were added to dissociated cultures of embryonic dorsal horn neurons and synaptic potentials were recorded intracellularly from dorsal horn neurons after DRG explant stimulation. More than 80% of dorsal horn neurons within 1 mm of DRG explants received at least one fast, DRG- evoked, monosynaptic input. In the presence of high divalent cation concentrations, the acidic amino acid receptor agonists, L-glutamate, kainate, and quisqualate excited all dorsal horn neurons which received a monosynaptic DRG neuron input, whereas aspartate and N-methyl-D- aspartate (NMDA) had little or no action. Several compounds reported to antagonize the actions of acidic amino acids were tested for their ability to block DRG-evoked synaptic potentials and glutamate-evoked responses in dorsal horn neurons. 2-Amino-5-phosphonovalerate, a selective NMDA receptor antagonist, was relatively ineffective at antagonizing DRG-evoked synaptic potentials and glutamate-evoked responses. In contrast, kynurenate was found to be a potent antagonist of amino acid-evoked responses and of synaptic transmission at all DRG- dorsal horn synapses examined. The blockade of synaptic transmission by kynurenate appeared to result from a postsynaptic action on dorsal horn neurons. These findings indicate that glutamate, or a glutamate-like compound, but not aspartate, is the excitatory transmitter that mediates fast excitatory postsynaptic potentials at the DRG-dorsal horn synapses examined in this study.
Taylor-Socolar Hexagonal Tilings as Model Sets

The Taylor–Socolar tilings are regular hexagonal tilings of the plane but are distinguished in being comprised of hexagons of two colors in an aperiodic way. We place the Taylor–Socolar tilings into an algebraic setting, which allows one to see them directly as model sets and to understand the corresponding tiling hull along with its generic and singular parts. Although the tilings were originally obtained by matching rules and by substitution, our approach sets the tilings into the framework of a cut and project scheme and studies how the tilings relate to the corresponding internal space. The centers of the entire set of tiles of one tiling form a lattice Q in the plane. If XQ denotes the set of all Taylor–Socolar tilings with centers on Q, then XQ forms a natural hull under the standard local topology of hulls and is a dynamical system for the action of Q.The Q-adic completion Q of Q is a natural factor of XQ and the natural mapping XQ → Q is bijective except at a dense set of points of measure 0 in /Q. We show that XQ consists of three LI classes under translation. Two of these LI classes are very small, namely countable Q-orbits in XQ. The other is a minimal dynamical system, which maps surjectively to /Q and which is variously 2 : 1, 6 : 1, and 12 : 1 at the singular points. We further develop the formula of what determines the parity of the tiles of a tiling in terms of the coordinates of its tile centers. Finally we show that the hull of the parity tilings can be identified with the hull XQ; more precisely the two hulls are mutually locally derivable.