Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of the iPLA2&bgr; gene with bipolar disorder and assessment of its interaction with TRPM2 gene polymorphisms

Altered intracellular calcium homeostasis and oxidative stress are involved in the pathophysiology of bipolar disorder (BD)-I. To explore the genes contributing to these abnormalities, we examined the association with BD of the iPLA2&bgr; (PLA2G6), a signaling enzyme that mobilizes the arachidonic acid signaling cascade and activates oxidative stress, and assessed whether it interacts genetically with type 2 transient receptor potential channel gene (TRPM2), an oxidative stress-responsive calcium channel implicated both functionally and genetically in BD-I. Two tag single nucleotide polymorphisms rs4375 and rs3788533 in iPLA2&bgr; were genotyped in 446 White case–control individuals and 296 BD families using a 5′-nuclease TaqMan assay. The results were analyzed using &khgr;2-test and transmission disequilibrium tests, and Haploview. In a secondary analysis, we tested gene–gene interactions between TRPM2 and iPLA2&bgr; on BD vulnerability by logistic regression using a case-only design in PLINK. iPLA2&bgr;-rs3788533 showed a borderline association with BD-I in patients with a history of psychosis in both case–control and family designs. Association with BD as a whole was observed in the family study (significant over transmissions of rs3788533-allele C, P=0.015, PBonferroni=0.03, TDTPHASE). A borderline interaction was found between rs749909 within TRPM2 and rs4375 within iPLA2&bgr; (Puncorrected=0.009), on the basis of the case-only design analyzed with PLINK. A significant association of iPLA2&bgr; variants with BD-I and a trend gene–gene interaction between iPLA2&bgr; and TRPM2 provides additional support for the notion that genetic variation in these two functionally implicated candidates contributes toward the risk and pathophysiology of this illness.
Affine combination of two adaptive sparse filters for estimating large scale MIMO channels

Large scale multiple-input multiple-output (MIMO) system is considered one of promising technologies for realizing next-generation wireless communication system (5G) to increasing the degrees of freedom in space and enhancing the link reliability while considerably reducing the transmit power. However, large scale MIMO system design also poses a big challenge to traditional one-dimensional channel estimation techniques due to high complexity and curse of dimensionality problems which are caused by long delay spread as well as large number antenna. Since large scale MIMO channels often exhibit sparse or/and cluster-sparse structure, in this paper, we propose a simple affine combination of adaptive sparse channel estimation method for reducing complexity and exploiting channel sparsity in the large scale MIMO system. First, problem formulation and standard affine combination of adaptive least mean square (LMS) algorithm are introduced. Then we proposed an effective affine combination method with two sparse LMS filters and designed an approximate optimum affine combiner according to stochastic gradient search method as well. Later, to validate the proposed algorithm for estimating large scale MIMO channel, computer simulations are provided to confirm effectiveness of the proposed algorithm which can achieve better estimation performance than the conventional one as well as traditional method.
A Two-Stage Large-Capacitive-Load Amplifier With Multiple Cross-Coupled Small-Gain Stages

A two-stage large-capacitive-load amplifier with multiple cross-coupled small-gain stages is proposed in this paper. The cross-coupled structure of the small-gain stages augments the large-signal responses, providing significant improvement in the effective output-stage transconductance and, hence, the gain- bandwidth product (GBW). Implemented in a standard 0.13-μm CMOS technology and powered by a 0.7 V supply with a current consumption of 20 μA, the proposed amplifier achieves the GBW of 1.17 MHz and the phase margin of 74.8° while driving a capacitive load of 9.5 nF. The average slew rate is 0.3679 V/μs. The on-chip compensation capacitor is only 1.62 pF. The active chip area is 0.0056 mm2.
Task-Based Evaluation of Anaphora Resolution : The Case of Summarization

One of the types of semantic interpretation processes that may help ‘crossing the barriers’ in text summarization is anaphora resolution. In this paper, we show that summarization is a good task for evaluating the performance of an anaphoric resolver, in the sense that it encourages developing anaphoric resolvers that build good-quality discourse models, and the performance of the anaphoric resolver correlates well with the performance on the task. Two versions of the GUITAR anaphora resolution system, 1.1 and 2.1, were used in conjunction with a LSA-based summarizer; we demonstrate that whereas both versions of the system result in improvements over the pure LSA system, only the latest version, 2.1, leads to significant improvements.
Fuzzy clustering with weighting of data variables

We introduce an objective function-based fuzzy clustering technique that assigns one influence parameter to each single data variable for each cluster. Our method is not only suited to detect structures or groups of data that are not uniformly distributed over the structure's single domains, but gives also information about the influence of individual variables on the detected groups. In addition, our approach can be seen as a generalization of the well-known fuzzy c-means clustering algorithm.
Metacontrol for Adaptive Imagination-Based Optimization

Many machine learning systems are built to solve the hardest examples of a particular task, which often makes them large and expensive to run---especially with respect to the easier examples, which might require much less computation. For an agent with a limited computational budget, this "one-size-fits-all" approach may result in the agent wasting valuable computation on easy examples, while not spending enough on hard examples. Rather than learning a single, fixed policy for solving all instances of a task, we introduce a metacontroller which learns to optimize a sequence of "imagined" internal simulations over predictive models of the world in order to construct a more informed, and more economical, solution. The metacontroller component is a model-free reinforcement learning agent, which decides both how many iterations of the optimization procedure to run, as well as which model to consult on each iteration. The models (which we call "experts") can be state transition models, action-value functions, or any other mechanism that provides information useful for solving the task, and can be learned on-policy or off-policy in parallel with the metacontroller. When the metacontroller, controller, and experts were trained with "interaction networks" (Battaglia et al., 2016) as expert models, our approach was able to solve a challenging decision-making problem under complex non-linear dynamics. The metacontroller learned to adapt the amount of computation it performed to the difficulty of the task, and learned how to choose which experts to consult by factoring in both their reliability and individual computational resource costs. This allowed the metacontroller to achieve a lower overall cost (task loss plus computational cost) than more traditional fixed policy approaches. These results demonstrate that our approach is a powerful framework for using.
WLC29-5: TCP Fairness for Uplink and Downlink Flows in WLANs

In WLANs, fairness is an important issue because the channel is shared by many users. This paper proposes a dual queue based scheme in an access point (AP) for TCP fairness among uplink flows and downlink flows. First, we discuss the unfairness problem of TCP flows due to different responses to data packet drop and TCP ACK packet drop at the AP. The proposed scheme employs two queues, one for the data packets of downlink TCP flows and another for the ACK packets corresponding to uplink TCP flows. The performance of the proposed scheme is evaluated by simulation and the results are presented. The dual queue scheme is simple and effective for resolving the TCP unfairness problem.
Impact of verbal communication on user experience in 3D immersive virtual environments

Understanding the user experience has become over the last decade a major concern for both scientific community and industry. In the field of virtual reality, user experience models have already been established, however, only some of them have been empirically validated. Furthermore, the potential impact of verbal communication on user experience appears to be marginally studied by scholars. This study aims to assess the impact of verbal communication on specific factors of the user experience in the context of Virtual Reality. These factors are spatial presence, social presence and performance gain. Participants (N = 52) immersed by teams of two players in the game Minecraft had to achieve a specified goal in a given period of time. To measure the impact of verbal communication on this task by comparison, half of teams could not communicate verbally, the other half were able to. Our results highlight a significant positive effect of verbal communication on the performance gain as well as on the hedonic evaluation of the user experience. Despite some limitations and questions raised by this empirical study, these results along with previous literature demonstrate the significant impact induced by interpersonal verbal communication on the user experience in the context of a 3D immersive virtual environment.
Birth Order and Sibling Gender Ratio of a Clinical Sample the Effectiveness of Computerized Cognitive Rehabilitation Training Program in Improving Cognitive Abilities of Schizophrenia Clients Original Article

Objective: The aim of this study was to evaluate the efficacy of a computer – based training program of attention, memory and executive functions in enhancing neuropsychological performances as well as functional outcome in clients with schizophrenia. Method: A total of 15 clinically stable out patients with Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR) criteria for schizophrenia, diagnosed with different types of schizophrenia: paranoid, disorganized, residual, based on DSM-IV-TR were selected to participate in this study. All patients were randomly selected using a conventional sampling method and assigned to 60 hours individual sessions of computer – assisted cognitive remediation (CACR). This was a pre-experimental study with pretest and posttest in a single group. Cognitive functions were checked with Continuous Performance Test (CPT), Wechsler Adult Intelligence Scale (Wds) and Prospective and Retrospective Memory Questionnaire (PRMQ). The symptoms of patients were measured with the Positive and Negative Syndrome Scale (PANSS). Remediation was performed utilizing the Rehacome® software. Patients received the cognitive remediation program including attention, concentration and working memory. All participants were followed up after an interval of one month and three months. Data were analyzed using repeated measures analysis. Result: After 3 months, the findings showed that patients' scores improved in the time factor. Also, a significant improvement favoring cognitive remediation was found in several cognitive measures including Conclusion: Computer-assisted cognitive remediation training program was effective in improving the performance of schizophrenic patients. CACR did not have any effects on the positive and negative symptoms. Long-term follow-up studies are needed to confirm the maintenance of such improvements. Schizophrenia is a devastating neurobiological disorder that typically strikes the brain function of adolescents and young adults, occurring in about 1 of every 100 people worldwide (1,2). The pathophysiology of schizophrenia remains puzzling (3, 4). During the last 30 years, substantial progress has been made in our understanding of the neurobiology and treatment of schizophrenia, and such advances have been accompanied by a modest overall improvement in outcome (5, 2). Cognitive impairment is a common, chronic disabling feature of schizophrenia (6). Deficits in cognitive functioning, including those in psychomotor speed, attention, memory and executive functions are thought to underline the severe functional disability associated with this illness (7, 8, 9, 10, 11). Moreover, the host of research has demonstrated functional outcome. Many approaches have been developed in the last fifteen years such as computer-assisted cognitive remediation (CACR). Patients with schizophrenia demonstrate some decline on …
Anuprāsa Identifier and Classifier: A computational tool to analyze Sanskrit figure of sound

Anuprāsa is a śabdālaṅkāra (figure of sound), in which the poetry is embellished by the repetitive occurrence of letters. 1 The task of processing the decorative language consisting of such figures is a path not explored in the field of Sanskrit computational linguistics. This paper discusses a tool that identifies and classifies anuprāsa alaṅkāra . Anuprāsa , being a figure of sound, makes the least use of semantics. This tool is essentially developed upon the insights taken from the school of alaṅkāra s, especially from the treatise of ācārya viśvanātha from 14 th century AD
Inter Sentential Discourse Relations

In this paper, we present a tagging scheme for inter-sentential discourse relations that is developed, based on the insights from Indian Grammatical Tradition. We rely on the three factors - ākāṅkṣā , yogyatā and sannidhi to decide the connectivity between two consecutive sentences. Various clues are identified that bind the two consecutive sentences. A tag set is presented based on the explicit discourse markers. Implementation of discourse level analysis based on the explicit discourse markers is tested on the Śri-madbhagvadgītā corpus. It is observed that some discourse markers are ambiguous and it is not trivial to develop a disambiguation module for such markers
Gamma-TuRC proteins contribute to the dynamic organization of MTOCs during Drosophila spermatogenesis

The initiation of microtubule formation in eukaryotes is primarily facilitated by γ-tubulin and the highly conserved protein complex called γ-Tubulin Ring Complex (γ-TuRC) in various microtubule-organizing centers (MTOCs). Non-centrosomal MTOCs have a range of functions and contribute to diverse cellular activities in different cell types. While the heterogeneity of tissue-specific MTOCs and γ-TuRC in Drosophila testis has been described, their molecular composition and physiological significance are poorly understood. In this study, we investigate the testis-specific distribution of the canonical γ-TuRC by in vivo tagging of two complex members, Grip163 and Grip84. We find that both the testis-specific (t-γ-TuRC) and canonical form of γ-TuRC are simultaneously present and colocalize with each other at the basal body, apical nuclear tip, and near the elongating mitochondrial derivatives in the post-meiotic spermatids. We propose the possibility of the formation of MTOCs containing both t-γ-TuRC and γ-TuRC complexes. We also find some of the known γ-TuRC binding partners localizing to the apical nuclear tip. Additionally, we identify the Golgi localization of Grip84 in spermatocytes, alongside its centrosomal and diverse post-meiotic localization. These results highlight and prove the importance of the different γ-TuRCs in organizing the diverse MTOCs during the extensive rearrangement of cell organelles in Drosophila spermatogenesis.
Evidence for the key roles of the Pseudomonas syringae mobilome in shaping biotic interactions

The mobilome, defined as the collection of mobile genetic elements within a bacterial genome, plays a critical role in the adaptation of bacteria to abiotic and biotic drivers. In particular, prophages have been reported to contribute to bacterial resistance to virulent bacteriophages, the competitive interaction of bacterial hosts within microbial communities, and in pathogenicity and virulence. It is therefore critical to better understand the role of prophages in distributing genes and functions within and among bacterial species to predict how bacteria adapt to their biotic environment. Pseudomonas syringae offers an ideal study system to ask these questions both because of its broad range of lifestyles (spanning from environmental growth to plant pathogens) and its high intraspecies diversity. To examine the role of the mobilome in this species complex, we compared 590 genomes available from public databases and annotated the defense mechanisms, effectors, and prophages in the genomes. We found that this species complex has an elaborate phage pandefensome consisting of 139 defense mechanisms. Host-associated P. syringae isolates were found to have both elaborate phage defensomes and effectoromes. Assessing taxonomical signatures of the observed prophages uncovered broad differences in the types and numbers of genes encoded by different phage families, emphasizing how the evolutionary advantages conferred to hosts will depend on the prophage composition and offering insight to how these genes might disperse within a community. Our study highlights the intimate association of phage families with their hosts and uncovers their key role in shaping ecology for this widespread species complex. Significance statement The bacterial accessory genome, including the mobilome and prophages, plays a critical role in shaping bacterial adaptation to abiotic and biotic drivers. These prophages are widespread across bacterial taxa and likely maintained because of their evolutionary advantage. Our ability to predict how a bacterial population will evolve over time requires a better understanding of where key functional traits arrive. To address this question, we assessed prophage-encoded phage defenses and effector across Pseudomonas syringae. We show that prophages carrying these genes belong to specific phage taxa with differences in the types of genes encoded. This emphasizes the evolutionary advantage of these prophages, offering a framework to uncover how these genes disperse within microbial communities and their role in pathogen evolution.
Epigenetic and transcriptional consequences of chemically induced transposon mobilization in the endosperm

Genomic imprinting, an epigenetic phenomenon leading to parent-of-origin-specific gene expression, has independently evolved in the endosperm of flowering plants and the placenta of mammals—tissues crucial for nurturing embryos. While transposable elements (TEs) frequently colocalize with imprinted genes and are implicated in imprinting establishment, direct investigations of the impact of de novo TE transposition on genomic imprinting remain scarce. In this study, we explored the effects of chemically induced transposition of the Copia element ONSEN on genomic imprinting in Arabidopsis thaliana. Through the combination of chemical TE mobilization and doubled haploid induction, we generated a line with 40 new ONSEN copies. Our findings reveal a preferential targeting of maternally expressed genes (MEGs) for transposition, aligning with the colocalization of H2A.Z and H3K27me3 in MEGs— both previously identified as promoters of ONSEN insertions. Additionally, we demonstrate that chemically-induced DNA hypomethylation induces global transcriptional deregulation in the endosperm, leading to the breakdown of MEG imprinting. This study provides insights into the consequences of chemically induced TE remobilization in the endosperm, underscoring the need for cautious interpretation of the connection between TEs and genomic imprinting.
Types of Marital Closeness and Mortality Risk in Older Couples

Objective This study examines the impact of marital closeness on survival over 6 years in a community-dwelling sample of 305 older couples. Method Closeness is defined as 1) naming one’s spouse as a confidant or source of emotional support (vs. not naming) and 2) being named by spouse on at least one of the two dimensions (vs. not being named). The survival effects of both naming and being named are examined in Cox proportional hazard regressions, controlling for sociodemographic, health status, and behavioral variables. Results Husbands who were named by their wives but did not name them were least likely to have died after 6 years. Compared with them, husbands in marriages with the other three styles of closeness were from 3.30 to 4.68 times more likely to be dead. Wives’ results showed the same pattern of effects, with the same marital style being most protective as for husbands, but the effects were weaker. However, wives’ results were strongly moderated by parenting status: those who had ever had children who were in the marital closeness pattern of wife naming husband but not being named by him were highly protected. Compared with these wives, others who had had children were from 8.26 to 10.95 times less likely to be alive after 6 years. Conclusions The same pattern of marital closeness most benefited husbands and those wives who had had children. These findings are not explained adequately by social support or marital role theory although they fit the latter more closely.
An SK3 Channel/nWASP/Abi-1 Complex Is Involved in Early Neurogenesis

Background The stabilization or regulated reorganization of the actin cytoskeleton is essential for cellular structure and function. Recently, we could show that the activation of the SK3-channel that represents the predominant SK-channel in neural stem cells, leads to a rapid local outgrowth of long filopodial processes. This observation indicates that the rearrangement of the actin based cytoskeleton via membrane bound SK3-channels might selectively be controlled in defined micro compartments of the cell. Principal Findings We found two important proteins for cytoskeletal rearrangement, the Abelson interacting protein 1, Abi-1 and the neural Wiskott Aldrich Syndrome Protein, nWASP, to be in complex with SK3- channels in neural stem cells (NSCs). Moreover, this interaction is also found in spines and postsynaptic compartments of developing primary hippocampal neurons and regulates neurite outgrowth during early phases of differentiation. Overexpression of the proteins or pharmacological activation of SK3 channels induces obvious structural changes in NSCs and hippocampal neurons. In both neuronal cell systems SK3 channels and nWASP act synergistic by strongly inducing filopodial outgrowth while Abi-1 behaves antagonistic to its interaction partners. Conclusions Our results give good evidence for a functional interplay of a trimeric complex that transforms incoming signals via SK3-channel activation into the local rearrangement of the cytoskeleton in early steps of neuronal differentiation involving nWASP and Abi-1 actin binding proteins.