Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of a region in the coiled-coil domain of Smc3 that is essential for cohesin activity

The cohesin complex plays an important role in sister chromatin cohesion. Cohesin's core is composed of two structural maintenance of chromosome (SMC) proteins, called Smc1 and Smc3. SMC proteins are built from a globular hinge domain, a rod-shaped domain composed of long anti-parallel coiled-coil (CC), and a second globular adenosine triphosphatase domain called the head. The functions of both head and hinge domains have been studied extensively, yet the function of the CC region remains elusive. We identified a mutation in the CC of smc3 (L217P) that disrupts the function of the protein. Cells carrying the smc3-L217P allele have a strong cohesion defect and complexes containing smc3-L217P are not loaded onto the chromosomes. However, the mutation does not affect inter-protein interactions in either the core complex or with the Scc2 loader. We show by molecular dynamics and biochemistry that wild-type Smc3 can adopt distinct conformations, and that adenosine triphosphate (ATP) induces the conformational change. The L217P mutation restricts the ability of the mutated protein to switch between the conformations. We suggest that the function of the CC is to transfer ATP binding/hydrolysis signals between the head and the hinge domains. The results provide a new insight into the mechanism of cohesin activity.
Contributorship and Partial Inclusion

Organizational communication theory and research tends to assume the practices of organizational “members” are relevant to the study of organizational phenomena, without reflecting on how those members were identified in the first place. This issue is particularly relevant to perspectives that view communication as constitutive of organizations because they may take the very object they seek to explain—the organization—as the starting point when identifying pertinent informants. We provide a communicational perspective of organizational membership by starting from communicative events, instead of individuals. Ethnomethodology’s notions of accounts and sanctions are useful in recognizing the interactionally performed nature of membership. We extend ethnomethodology’s intuition by viewing membership—which we reframe as contributorship—as being achieved through the contribution of actions to the organization.
Modal Interface Automata

De Alfaro and Henzinger's Interface Automata (IA) and Nyman et al.'s recent combination IOMTS of IA and Larsen's Modal Transition Systems (MTS) are established frameworks for specifying interfaces of system components. However, neither IA nor IOMTS consider conjunction that is needed in practice when a component satisfies multiple interfaces, while Larsen's MTS-conjunction is not closed. In addition, IOMTS-parallel composition exhibits a compositionality defect. This paper defines conjunction on IA and MTS and proves the operators to be 'correct', i.e., the greatest lower bounds wrt. IA- and resp. MTS-refinement. As its main contribution, a novel interface theory called Modal Interface Automata (MIA) is introduced: MIA is a rich subset of IOMTS, is equipped with compositional parallel and conjunction operators, and allows a simpler embedding of IA than Nyman's. Thus, it fixes the shortcomings of related work, without restricting designers to deterministic interfaces as Raclet et al.'s modal interface theory does.
The outer kinetochore protein KNL-1 contains a defined oligomerization domain in nematodes

Although the protein components at the kinetochore have been largely identified, there are limited data on how these proteins assemble into a higher-order structure. Biochemical analysis of the nematode kinetochore protein KNL-1 reveals that it oligomerizes in a structurally specific way, such that it could contribute to kinetochore organization.
The Role of Suppression and Enhancement in Understanding Metaphors.

Participants read either a metaphorical prime sentence, such as That defense lawyer is a shark, or they read a baseline-prime sentence. The baseline-prime sentence was literally meaningful in Experiment 1 (e.g., That large hammerhead is a shark), nonsensical in Experiment 2 (e.g., His English notebook is a shark), and unrelated in Experiment 3 (e.g., That new student is a clown). After reading the prime sentence, participants verified a target property statement. Verification latencies for property statements relevant to the superordinate category (e.g., Sharks are tenacious) were faster after participants read the metaphor-prime sentence than after they read the baseline-prime sentence, producing an enhancement effect. In contrast, verification latencies for property statements relevant to only the basic-level meaning of the vehicle and not the superordinate (e.g., Sharks are good swimmers), were slower following the metaphor-versus the baseline-prime sentence, producing a suppression effect. As Glucksberg and Keysar's (1990) class inclusion theory of metaphor predicts, the enhancement effect demonstrates that the vehicle of a metaphor stands for the superordinate category of the vehicle, and the suppression effect demonstrates that the metaphorical vehicle does not stand for its basic-level meaning.
Design of flash-based DBMS: an in-page logging approach

The popularity of high-density flash memory as data storage media has increased steadily for a wide spectrum of computing devices such as PDA's, MP3 players, mobile phones and digital cameras. More recently, computer manufacturers started launching new lines of mobile or portable computers that did away with magnetic disk drives altogether, replacing them with tens of gigabytes of NAND flash memory. Like EEPROM and magnetic disk drives, flash memory is non-volatile and retains its contents even when the power is turned off. As its capacity increases and price drops, flash memory will compete more successfully with lower-end, lower-capacity disk drives. It is thus not inconceivable to consider running a full database system on the flash-only computing platforms or running an embedded database system on the lightweight computing devices. In this paper, we present a new design called in-page logging (IPL) for flash memory based database servers. This new design overcomes the limitations of flash memory such as high write latency, and exploits unique characteristics of flash memory to achieve the best attainable performance for flash-based database servers. We show empirically that the IPL approach can yield considerable performance benefit over traditional design for disk-based database servers. We also show that the basic design of IPL can be elegantly extended to support transactional database recovery.
CHARACTERIZATION OF CROSSLINKED ZERUMBONE LOADED GELATIN – ZEOLITE Y HYBRID COMPOSITES WITH GLUTARALDEHYDE FOR CONTROLLED RELEASE OF NATURAL ANTICANCER DRUG (Pencirian Sambung Silang Zerumbon Dimuatkan dalam Gelatin-Zeolit Y Komposit Hibrid dengan Glutaraldehid untuk Pembebasan Terkawal Ubat Anti-Ka

Zeolite Y-gelatin hybrid spherical pellets were prepared by blending zerumbone loaded zeolite Y with gelatin solution and crosslinking achieved by glutaraldehyde. The pellets were characterized by using ATR-FTIR spectroscopy, Raman spectroscopy, thermogravimetric analysis (TGA) and swelling analysis. The zerumbone entrapment in zeolite Y was calculated via UV-VIS and results showed that zerumbone could be encapsulated to the maximum loading of porous zeolite Y. ATR-FTIR analysis showed the inert property of zeolite Y that only act as porous host carrier and crosslinking was achieved at 1650 cm. Result from Raman spectra supported and proven that crosslinking occur at 1650 cm. The swelling of crosslinked samples showed slower water penetration indicating that crosslinking had strengthened the spherical pellets. TGA results supported that after crosslinking took place, the thermal decomposition temperature for the composite increased indicating the increase of composite strength. This study showed promising results towards the composite development in controlled drug release area.
On ∞-entropy points in real analysis

We will consider \(\infty\)-entropy points in the context of the possibilities of approximation mappings by the functions having \(\infty\)-entropy points and belonging to essential (from the point of view of real analysis theory) classes of functions: almost continuous, Darboux Baire one and approximately continuous functions.
Vertical Transmission of Diverse Microbes in the Tropical Sponge Corticium sp

ABSTRACT Sponges are host to extremely diverse bacterial communities, some of which appear to be spatiotemporally stable, though how these consistent associations are assembled and maintained from one sponge generation to the next is not well understood. Here we report that a diverse group of microbes, including both bacteria and archaea, is consistently present in aggregates within embryos of the tropical sponge Corticium sp. The major taxonomic groups represented in bacterial 16S rRNA sequences amplified from the embryos are similar to those previously described in a variety of marine sponges. Three selected bacterial taxa, representing proteobacteria, actinobacteria, and a clade including recently described sponge-associated bacteria, were tested and found to be present in all adult samples tested over a 3-year period and in the embryos throughout development. Specific probes were used in fluorescence in situ hybridization to localize cells of the three types in the embryos and mesohyl. This study confirms the vertical transmission of multiple, phylogenetically diverse microorganisms in a marine sponge, and our findings lay the foundation for future work on exploring vertical transmission of specific, yet diverse, microbial assemblages in marine sponges.
Residual Convolutional LSTM for Tweet Count Prediction

The tweet count prediction of a local spatial region is to forecast the number of tweets that are likely to be posted from that area over a relatively short period of time. It has many applications such as human mobility analysis, traffic planning, and abnormal event detection. In this paper, we formulate tweet count prediction as a spatiotemporal sequence forecasting problem and design an end-to-end convolutional LSTM based network with skip connection for this problem. Such a model enables us to exploit the unique properties of spatiotemporal data, consisting of not only the temporal characteristics such as temporal closeness, period and trend properties but also spatial dependencies. Our experiments on the city of Seattle, WA as well as a larger city of New York City show that the proposed method consistently outperforms the competitive baseline approaches.
Investment Opportunity Set, Ownership Control and Voluntary Disclosures in Malaysia

This study examines the association between investment opportunity set and voluntary disclosures. The influence of ownership control as a mediator in this relationship is also examined. The results obtained in the analyses are consistent with the predictions. This study indicates that growth firms benefit from higher level of voluntary disclosures and higher level of ownership control by outside shareholders due to their context of high agency costs. While firms with low growth options are characterized by higher level of ownership control by board and lower level of voluntary disclosures because they face a context where agency costs are low. Further, this study indicates that agency theory prescriptions regarding monitoring are more relevant in growth firms, but are redundant in low growth firms. Specifically, high growth firms are dominated by outside shareholders while low growth firms by the board.
Predicting snow velocity in large chute flows under different environmental conditions

Summary. Observations, model evaluations and expert judgements are combined to make predictions of snow velocity in large chute experiments. Different experimental variables, namely the environmental conditions snow density and snow surface temperature, affect all aspects of this inference. We show how the effect of these two variables can be incorporated in our judgements regarding the uncertain parameters of the physical model, the discrepancy between the physical model and reality and the observation error. We adopt a Bayes linear approach to avoid the necessity of fully probabilistic belief specifications and demonstrate visual tools for statistical validation. Our results represent an important first step in improving the specification of uncertainty in model‐based avalanche hazard mapping.
Development of a creole lexicon

This paper explores the contribution of lexical research, with particular regard to Ndyuka of Suriname, to evaluation of Arends’ gradualist hypothesis of creolization. The number and semantic nature of 195 Ndyuka lexical items from different relevant African groups of languages are compared. The results are evaluated in light of our knowledge, thanks largely to Arends’ work, of when speakers of each group were numerically most dominant among slaves in Suriname. The results show continued growth of the African-derived part of the Ndyuka lexicon over several generations. Although this lexical inventory does not comprise a structural phenomenon to the same degree as creole syntactic and phonological systems, this conclusion provides indirect support for the gradualist hypothesis.
Effect of green tea on inflammation and oxidative stress in cisplatin-induced experimental liver function

Introduction: Cisplatin is one of the most potent chemotherapeutic antitumor drugs. Also, oxidative stress has been established to be involved in cisplatin-induced toxicity. Therefore, the present study was undertaken to examine the antioxidant and anti-inflammation potential of green tea hydroalcoholic extract (GTE) against the liver function of cisplatin in male rats.Methods: Adult male Wistar rats (180–250 g) were divided into 4 groups (n = 5) treated as follows: (1) control group (saline solution, 1 ml kg−1 body weight, i.p.), cisplatin group (7 mg kg−1 body weight, i.p.). Animals of Groups III received only green tea extract (30 mg/kg/day, by gavage). Group IV was given green tea extract+ cisplatin once daily for 24 hours. Liver function was evidenced in the cisplatin group by the increased serum levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST). The mechanism of cisplatin induced liver function was considered as being decreased the total antioxidant power (TAP). Systemic inflammation was assessed by tumor necrosis factor-alpha (TNF-α) levels.Results: A decrease in TAP level in cisplatin group was observed compared with control group. GTE administration decreased TNF-α and increased TAP compared to cisplatin group, but showed no significant differences between groups.Conclusion: The results suggested that green tea could ameliorate cisplatin liver function in rats through reduction of oxidative toxic stress and inflammation.
Gold Nanorods Based Platforms for Light-Mediated Theranostics

Due to their tunable surface plasmon and photothermal effects, gold nanorods (AuNRs) have proved to be promising in a wide range of biomedical applications such as imaging, hyperthermia therapy and drug delivery. All these applications can be remotely controlled by near infrared (NIR) light which can penetrate deep into human tissues with minimal lateral invasion. AuNRs thus hold the potential to combine both imaging diagnosis and therapeutic treatment into one single system and function as a NIR light-mediated theranostic platform. Herein we review recent progress in diagnostic and therapeutic applications of AuNRs with a highlight on combined applications for theranostic purposes.
Demand side management for residential areas using hybrid bacterial foraging and bat optimization algorithm: Demand side management using hybrid bacterial foraging and bat optimization algorithm

In this work, two meta-heuristic bio-inspired algorithms and our proposed hybrid technique (Bacterial foraging optimization algorithm (BFA) and BAT algorithm (BA) (HBB)) are proposed for optimizing and scheduling the appliances of residential consumers. BFA, BA and our proposed technique HBB are used for scheduling the appliances in order to find the optimal solution. Appliances have different power ratings and power consumption patterns. Three different operational time intervals of 5, 30 and 60 minutes are taken in this work and their comparison is carried out. Eighteen appliances are considered and they are classified into three categories: interruptible, non-interruptible and base load appliances. Single home scenario is considered in this work. Results show that proposed technique has significantly reduced electricity cost and peak-to-average ratio. Consumers have not only supposed to pay less electricity bill, however, utilities also have to bear less stress especially in on-peak hours.
Beyond the symbolic: a relational approach to dirty work through a study of refuse collectors and street cleaners

Drawing on a relational approach and based on an ethnographic study of street cleaners and refuse collectors, we redress a tendency towards an overemphasis on the discursive by exploring the co-constitution of the material and symbolic dynamics of dirt. We show how esteem-enhancing strategies that draw on the symbolic can be both supported and undermined by the physicality of dirt, and how relations of power are rooted in subordinating material conditions. Through employing Hardy and Thomas’s taxonomy of objects, practice, bodies and space, we develop a fuller understanding of how the symbolic and material are fundamentally entwined within dirty work, and suggest that a neglect of the latter might foster a false optimism regarding worker experiences.
Spatial associations of humus, nutrients and soils in mixed dipterocarp forest at Lambir, Sarawak, Malaysian Borneo

Discrete humus layers are common on podzols under temperate coniferous and tropical heath forests, and patchy layers also occur under some temperate broadleaved forests on non-podzolic soils. We used multiple data sets to test the reported association of humus with oligotrophic but non-podzolic soils under non-heath dipterocarp forest at Lambir, Sarawak. We examined the distribution, morphology and nutrient dynamics of necromass on soils derived from sandstone and shale. Concentrations of the main mineral nutrients were lower in fresh litter on the very oligotrophic sandstone soils than on shale. The rates of litterfall were similar, so that annual litterfall fluxes of all nutrients were lower on sandstone. The lower nutrient concentrations and fluxes in the litter on sandstone resulted in slower decomposition, longer residence times and larger standing crops of forest-floor necromass, with lower concentrations of nutrients. The necromass on sandstone sequestered significantly more N, K and Mg but less Ca and Mn than on shale, with no significant difference for P. The variations in necromass nutrient dynamics were associated with morphological differences. There were mats of densely rooted humus under the litter on sandstone, whereas litter lay directly over the mineral topsoil on shale. Spatial associations with soil nutrients were weak for necromass thickness, but clear for humus. The proportions of nutrients in the litterfall and necromass reflected the stoichiometric profiles of the soils. We attribute the differences in necromass nutrient dynamics and their association with soil reserve nutrients to lower rates of nutrient replenishment from the weathering of sandstone than from shale. Necromass characteristics are robust field indicators of multivariate edaphic differences in these and other tropical forests on Acrisols/Ultisols derived from Tertiary clastic sediments.
Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization

Representing the raw input of a data set by a set of relevant codes is crucial to many computer vision applications. Due to the intrinsic sparse property of real-world data, dictionary learning, in which the linear decomposition of a data point uses a set of learned dictionary bases, i.e., codes, has demonstrated state-of-the-art performance. However, traditional dictionary learning methods suffer from three weaknesses: sensitivity to noisy and outlier samples, difficulty to determine the optimal dictionary size, and incapability to incorporate supervision information. In this paper, we address these weaknesses by learning a Semi-Supervised Robust Dictionary (SSR-D). Specifically, we use the l2,0+-norm as the loss function to improve the robustness against outliers, and develop a new structured sparse regularization to incorporate the supervision information in dictionary learning, without incurring additional parameters. Moreover, the optimal dictionary size is automatically learned from the input data. Minimizing the derived objective function is challenging because it involves many non-smooth l2,0+-norm terms. We present an efficient algorithm to solve the problem with a rigorous proof of the convergence of the algorithm. Extensive experiments are presented to show the superior performance of the proposed method.
Facing environmental predictability with different sources of epigenetic variation

Abstract Different sources of epigenetic changes can increase the range of phenotypic options. Environmentally induced epigenetic changes and stochastic epimutations are, respectively, associated with phenotypic plasticity and diversifying bet‐hedging. Their relative contribution is thus expected to reflect the capacity of a genotype to face distinct changes since these strategies are differentially selected according to environmental uncertainty. To test this hypothesis, we assessed the sources of epigenetic changes on clonal fish from predictable (lakes) or unpredictable (intermittent streams) environments. DNA methylation of clones from natural conditions revealed contrasting contribution of environmentally induced versus stochastic changes according to their origins. These differences were validated in common garden experiments. Consistent with theoretical models, distinct sources of epigenetic variation prevail according to the environmental uncertainty. However, both sources act conjointly, suggesting that plasticity and random processes are complementary strategies. This represents a rigorous approach for further exploring the capacity of organisms to respond to environmental conditions.
Psychological responses to recorded music as predictors of intentions to attend concerts: Emotions, liking, performance evaluations, and monetary value

The present study was designed to investigate how music listening affects intentions to attend concerts by employing both the music consumption model and the general consumer behavior model in service environments. We conducted a listening experiment using live recorded classical music. Participants responded to questionnaires after listening to pieces that represented different types of emotions. The items surveyed included felt emotion, liking, performance evaluation, and monetary value. The main findings were as follows: (1) strong emotions that were linked with happiness and tenderness/liking induced by music listening and performance evaluations were associated with intentions to attend concerts, and (2) the individual sense of the value of classical music also influenced the price that audience members were willing to pay to attend a concert when inspired to do so through music listening.