Miracle-dz/UniFAR-FTUs huggingface dataset:
The Immediate Effect of Rhythm on the Timing of Upper Extremity Movements in Patients with Parkinson's Disease

of a thesis at the University of Miami. Parkinson's disease is a neurodegenerative disease caused by a loss of dopamine-producing neurons in the basal ganglia. Primary motor deficits include resting tremor, bradykinesia, muscular rigidity, and postural instability. Most importantly, patients have difficulty both initiating movements and performing well-timed movements. This study explored the effect of rhythm on the timing of upper extremity movements in patients with Parkinson's disease. Comparisons were made between an external rhythmic cue, an external rhythmic cue in combination with auditory feedback, and no cue. Fifteen participants performed a simple reaching task in each of the four cueing conditions with the use of an interactive touch table. Condition 1 consisted of no cue. Condition 2 included a metronome set to the participant's baseline tempo. Condition 3 included a metronome set to the participant's baseline tempo, and a synthesized tone that occurred as a result of contact with the table. Finally, Condition 4 included no cue, similar to Condition 1. Participants were placed into either a mild/moderate level of impairment group, or a severe level of impairment group. Data were collected for total movement time, initiation time, and delta time for each participant in all four conditions. Results of the study did not reveal a main effect of condition on total movement time, initiation time or delta time. However, post-hoc pair-wise comparisons revealed significant decreases between Condition 1 and Condition 4, which were both uncued conditions, for both total movement time and delta time. In addition, for total movement time, a significant decrease was found between Condition 2 (external rhythmic cue) and Condition 4 (no cue). An immediate effect of cueing was found for initiation time and delta time, but did not reach a level of significance. An immediate effect of cueing on total movement time was not evident. Overall, from Condition 1 to Condition 2 as well as Condition 1 to Condition 3, initiation time and delta time decreased, but total movement time did not. Further analysis of level of impairment could not be conducted because of the small number of participants in the severe level of impairment group. The results suggest that one auditory cue was not more beneficial than the other for improving total movement time, initiation time, or delta time. In addition, the improvement from Condition 1 to Condition 4 for total movement time and delta time suggests that a practice effect was evident …
Solving the node localization problem in WSNs by a two-objective evolutionary algorithm and local descent

Given a small percentage of nodes whose actual positions are known, the problem of estimating the locations of the remaining nodes of a wireless sensor network has attracted a large interest in the last years. The localization task is based on the noisy estimates of the distances between pairs of nodes in range of each other. The problem is particularly hard when the network connectivity is not sufficiently high, the most attractive case in real applications. In this paper, we propose to solve the localization problem by using a two-objective evolutionary algorithm which takes concurrently into account during the evolutionary process both the localization accuracy and certain topological constraints induced by the network connectivity. The solutions generated by the evolutionary algorithm are therefore refined by a gradient-based technique which further reduces the localization error. The proposed approach is tested with different network configurations and sensor setups, and compared in terms of normalized localization error with a state-of-the-art approach based on a regularized semi-definite programming technique. The results show that, in all the experiments, our approach achieves considerable accuracies, thus manifesting its effectiveness and stability, and outperforms the compared approach.
A heuristic for thermal-safe SoC test scheduling

High temperature has become a technological barrier to the testing of high performance systems-on-chip, especially when deep submicron technologies are employed. In order to reduce test time while keeping the temperature of the cores under test within a safe range, thermal-aware test scheduling techniques are required. In this paper, we address the test time minimization problem as how to generate the shortest test schedule such that the temperature limits of individual cores and the limit on the test-bus bandwidth are satisfied. In order to avoid overheating during the test, we partition test sets into shorter test subsequences and add cooling periods in between, such that continuously applying a test sub-sequence will not drive the core temperature going beyond the limit. Further more, based on the test partitioning scheme, we interleave the test sub-sequences from different test sets in such a manner that a cooling period reserved for one core is utilized for the test transportation and application of another core. We have proposed a heuristic to minimize the test application time by exploring alternative test partitioning and interleaving schemes with variable length of test sub-sequences and cooling periods. Experimental results have shown the efficiency of the proposed heuristic.
Adaptive Hybrid Precoding for Multiuser Massive MIMO

Hybrid precoding (HP) is widely utilized in millimeter wave-based massive MIMO systems with significantly reduced radio frequency (RF) chains, but it requires a large number of analog phase shifters (APSs) and RF adders to realize the connection between RF chains and antenna elements. In this letter, an adaptive hybrid precoding (AHP) is proposed to approach the performance of the conventional HP with reduced complexity. Different from the conventional HP where each antenna is connected to all RF chains through APSs and RF adders, the proposed AHP connects each antenna with only one RF chain through an adaptive connection network. This adaptive connection network and the phases of APSs are jointly designed, which is formulated as an optimization problem to maximize the users' average downlink achievable rate. Moreover, a multiuser adaptive analog precoding (MU-AAP) algorithm is proposed to provide a near-optimal solution to this joint-design problem. Simulation results verify the performance gain of the proposed AHP in typical multiuser massive MIMO scenarios.
Seminal Vesicle-Rectal Fistula with Preceding Right Acute Epididymitis

A case of seminal vesicle-rectal fistula is reported. A 74-year-old Japanese man was admitted to our hospital due to repeated right scrotal swelling and high fever with pneumaturia. A diagnosis of the right acute epididymitis was made. Bilateral vesiculography showed contrast medium leakage to the rectum, and colonoscopy revealed ostium of the fistula in the anterior wall of the rectum. Symptoms were improved by extirpation of the right scrotal contents.
Design and dynamic performance analysis of a unified power flow controller

This paper describes the theory, the modeling technique, control scheme of unified power flow controller. Based on park transformation, it designs a decoupled control scheme of UPFC in d and q-axis which eliminates the dynamic interaction between active and reactive power flow through the line. The control system consists of outer power loop, middle voltage loop and inner current loop. The response of the inner current loop is much faster than response of the outer voltage loop, which ensures that input current follows input voltage and improves dynamic performance of UPFC. As a step closer to practical application of UPFC, the paper analyzes individually the functions of STATCOM and SSSC. Experimental results verify the viability and effectiveness of applying the proposed control scheme in UPFC.
The application of species-specific assays based on the polymerase chain reaction to analyse Fusarium crown rot of durum wheat

Crown rot of wheat in Australia is caused by species of Fusarium, particularly F pseudograminearum, formerly known as F. graminearum Group 1. Rapid assays are required to identify the species responsible for disease symptoms, especially those with similar morphology. Previously developed assays based on the polymerase chain reaction (PCR) were able to identify F. pseudograminearum, F. graminearum, F. culmorum and F. crookwellense isolates, but not F. acuminatum. To design novel F. acuminatum and F. pseudograminearum species-specific primer sets, randomly amplified polymorphic DNA profiles were amplified that differentiated F. acuminatum and F. pseudograminearum from the other species and polymorphic bands were cloned and sequenced. The specificity of the PCR assays was verified on 79 isolates from 12 different Fusarium species. For two isolates an apparent misidentification occurred using the F. pseudograminearum PCR assay. These isolates were fingerprinted using Amplified Fragment Length Polymorphism analysis, which showed that they had genotypes more similar to F. graminearum than F. pseudograminearum. The PCR-based assays were validated using seedlings infected with single or multiple isolates. A method was also devised to rapidly identify Fusarium species associated with crown rot symptoms on mature wheat stems by culturing the fungi and extracting DNA directly from infected tissue. This assay can be used for routine diagnosis and for epidemiological studies of this disease.
The Impact of High-Speed Internet Connectivity at Home on Eighth-Grade Student Achievement

THE IMPACT OF HIGH-SPEED INTERNET CONNECTIVITY AT HOME ON EIGHTH-GRADE STUDENT ACHIEVEMENT Kent J. Kingston, M.Ed., Ed.D. University of Nebraska, 2013 Advisor: Dr. John W. Hill In the fall of 2008 Westside Community Schools – District 66, in Omaha, Nebraska implemented a one-to-one notebook computer take home model for all eighth-grade students. The purpose of this study was to determine the effect of a required yearlong one-to-one notebook computer program supported by high-speed Internet connectivity at school on (a) English, (b) math, (c) reading, (d) science, and (e) composite score normreferenced EXPLORE achievement test scores, District’s Criterion-Referenced Descriptive Writing Assessment scores, and classroom performance grade point average (GPA) scores for the core subjects (a) English, (b) science, (c) social studies, and (d) cumulative GPA scores of eighth-grade students who do not have high-speed Internet connectivity at home (n = 19) compared to eighth-grade students eligible (n = 19) and not eligible (n = 19) for free and reduced price lunch program participation who do have high-speed Internet connectivity at home. The results of this study support the implementation of a one-to-one notebook computer program as a systematic intervention to improve student achievement. Furthermore, all within group pretest-posttest gains and between group posttest-posttest equipoise demonstrated that the achievement gap between students eligible and students not eligible for free or reduced price lunch participation with or without high-speed Internet connectivity at home had been mitigated through participation in the school-wide one-to-one notebook computer program. While the one-to-one notebook eighth-grade computer program in this study may not be singled out solely for between group posttest equipoise causality, its inclusion as a fundamental academic programmatic component of this middle school’s curriculum should be considered as a contributing factor.
Globally-Synchronized Frames for Guaranteed Quality-of-Service in On-Chip Networks

Future chip multiprocessors (CMPs) may have hundreds to thousands of threads competing to access shared resources, and will require quality-of-service (QoS) support to improve system utilization. Although there has been significant work in QoS support within resources such as caches and memory controllers, there has been less attention paid to QoS support in the multi-hop on-chip networks that will form an important component in future systems. In this paper we introduce globally-synchronized frames (GSF), a framework for providing guaranteed QoS in on-chip networks in terms of minimum bandwidth and a maximum delay bound. The GSF framework can be easily integrated in a conventional virtual channel (VC) router without significantly increasing the hardware complexity. We rely on a fast barrier network, which is feasible in an on-chip environment, to efficiently implement GSF. Performance guarantees are verified by both analysis and simulation. According to our simulations, all concurrent flows receive their guaranteed minimum share of bandwidth in compliance with a given bandwidth allocation. The average throughput degradation of GSF on a 8times8 mesh network is within 10% compared to the conventional best-effort VC router in most cases.
Activation of the PD-1/PD-L1 immune checkpoint confers tumor cell chemoresistance associated with increased metastasis

The ability of tumor cells to avoid immune destruction (immune escape) as well as their acquired resistance to anti-cancer drugs constitute important barriers to the successful management of cancer. Interaction between the Programmed Death Ligand 1 (PD-L1) on the surface of tumor cells with the Programmed Death-1 (PD-1) receptor on cytotoxic T lymphocytes leads to inactivation of these immune effectors and, consequently, immune escape. Here we show that the PD-1/PD-L1 axis also leads to tumor cell resistance to conventional chemotherapeutic agents. Using a panel of PD-L1-expressing human and mouse breast and prostate cancer cell lines, we found that incubation of breast and prostate cancer cells in the presence of purified recombinant PD-1 resulted in resistance to doxorubicin and docetaxel as determined using clonogenic survival assays. Co-culture with PD-1-expressing Jurkat T cells also promoted chemoresistance and this was prevented by antibody blockade of either PD-L1 or PD-1 or by silencing of the PD-L1 gene. Moreover, inhibition of the PD-1/PD-L1 axis using anti-PD-1 antibody enhanced doxorubicin chemotherapy to inhibit metastasis in a syngeneic mammary orthotopic mouse model of metastatic breast cancer. To further investigate the mechanism of tumor cell survival advantage upon PD-L1 ligation, we show that exposure to rPD-1 promoted ERK and mTOR growth and survival pathways leading to increased cell proliferation. Overall, the findings of this study indicate that combinations of chemotherapy and immune checkpoint blockade may limit chemoresistance and progression to metastatic disease.
A Dictionary Of Kleinian Thought

The ideas of Melanie Klein and the post-Kleinians have a growing influence among psychoanalysts yet they are not always easy to grasp. Hinshelwood offers the first comprehensive and wholly accessible exposition of the main concepts in Kleinian psychoanalysis and their more recent development. The book contains 13 main entries on the basic Kleinian concepts - splitting, paranoid-schizoid and depressive positions, projective identification, envy, internal objects - along with numerous entries on subsidiary concepts and the main post-Kleinian writers - Bion, Segal, Rosenfeld, Joseph and Meltzer. The book also has a bibliography of all Kleinian writings to date. It has already been acclaimed 'a tremendous' piece of work' and as 'the state of the art in its own domain'.
Evaluation of Task Mapping on Multicore Neural Network Accelerators

Deep neural networks are widely used for many applications such as image classification, speech recognition and natural language processing because of their high recognition rate. Since general-purpose processors such as CPUs and GPUs are not energy efficient for such neural networks, application specific hardware accelerators for neural networks (a.k.a. neural network accelerators or NNAs) have been proposed to improve the energy efficiency. There are many studies to increase the energy efficiency of NNAs, but few studies focus on task allocation on the accelerators. This paper provides the first exploration of task mapping to cores within NNAs for the increased performance. Intuitively, a well-tuned task mapping has less amount of communication between cores. To confirm this assumption, we tested two types of task mappings that generate different amount of communication between cores on an NNA. Our experimental results show that the number of communication between cores strongly affects the execution cycle of the NNA and the most effective task mapping differs depending on the size of neural networks.
Sexual Conflict via Maternal-Effect Genes in ZW Species

In female heterogamous (ZW) species, sex-linked genes coding for maternal products that are packaged into the egg open a unique arena for genetic conflict that does not occur in male heterogamous (XY) species. Z-linked maternal-effect alleles that help sons and harm daughters are expected to go to fixation, as are W-linked alleles that help daughters and harm sons. This conflict differs from known cases of meiotic drive, because sex-specific ontogeny, physiology, and gene expression greatly simplify the genetic interactions that lead to sexual conflict. Selection on maternal-effect genes may substantially alter the evolution of ZW compared with XY systems.
An adaptive face-recognition method based on phase information

Home automation is being implemented into more and more domiciles of the elderly and disabled in order to maintain their independence and safety. For that purpose, we propose and validate a surveillance video system, which detects various postures-based events. One of the novel points of this system is to use adapted Vander-Lugt correlator (VLC). Our system is focused on the goals of accuracy, convenience, and cost, which in addition does not require any devices attached to the subject. Our algorithm is doing faster face recognition using phase information of the image. After then, this algorithm will compare the target image with the reference image and then show us the comparison results, whether the target image is in the reference images or not.
Behavioral Economics

We will finish the course with a couple of observations about behavioral economics. Behavioral economics is a (relatively) recent development in economics which uses insights from experimental economics and psychology to critique the standard models of economics behavior that we have discussed so far. The idea is that, by improving our models of economic behavior, we will improve our understanding of the way that economies work. One word of warning before we begin in order to be useful, it is not enough for the behavioral economist to show that existing models are wrong. Of course they are wrong. As we discussed at the start of the course, the world is a complicated place, and human behavior is particularly complicated. We can only hope that our models are crude, but useful approximations of the way that people actually behave. In my opinion, a behavioral observation has to fulfil (at least ) the following two criteria to be interesting
A generalized approach to sampling backbone conformations with RosettaDock for CAPRI rounds 13–19

In CAPRI rounds 13–19, the most native‐like structure predicted by RosettaDock resulted in two high, one medium, and one acceptable accuracy model out of 13 targets. The current rounds of CAPRI were especially challenging with many unbound and homology modeled starting structures. Novel docking methods, including EnsembleDock and SnugDock, allowed backbone conformational sampling during docking and enabled the creation of more accurate models. For Target 32, α‐amylase/subtilisin inhibitor‐subtilisin savinase, we sampled different backbone conformations at an interfacial loop to produce five high‐quality models including the most accurate structure submitted in the challenge (2.1 Å ligand rmsd, 0.52 Å interface rmsd). For Target 41, colicin‐immunity protein, we used EnsembleDock to sample the ensemble of nuclear magnetic resonance (NMR) models of the immunity protein to generate a medium accuracy structure. Experimental data identifying the catalytic residues at the binding interface for Target 40 (trypsin‐inhibitor) were used to filter RosettaDock global rigid body docking decoys to determine high accuracy predictions for the two distinct binding sites in which the inhibitor interacts with trypsin. We discuss our generalized approach to selecting appropriate methods for different types of docking problems. The current toolset provides some robustness to errors in homology models, but significant challenges remain in accommodating larger backbone uncertainties and in sampling adequately for global searches. Proteins 2010. © 2010 Wiley‐Liss, Inc.
Achieving positive stepfamily relationships : negotiating fairness, forgiveness, and acceptance : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Psychology at Massey University, Wellington, New Zealand

Being part of a stepfamily is a common experience for many children and parents in Aotearoa New Zealand. This type of family structure comprises a range of complex relationship dynamics that need to be negotiated, nurtured, and developed into healthy family functioning. This research was based on a positive psychology perspective (the study of wellbeing) and examined the typical fairness issues stepfamilies encounter, and the strategies they used to resolve those issues. Each family member’s emotional reactions to those situations, and if forgiveness was given and why, were also investigated. Forty one stepfamilies were recruited to participate in this research, from which 79 were stepchildren and the rest were a combination of step and biological parents. The research involved holding a family meeting, which was supported by an instructional DVD. During this meeting each participant recorded their responses in a specifically designed research booklet, and the Brief FAM General Scale was used to assess family functioning. Each participant was asked to recall and offer a situation and a resolution in regards to fairness that they had instigated. From this all other family members would respond by rating their emotions, fairness, and forgiveness in their response booklets. Descriptive statistics and Generalised Estimating Equations were used to analyse the quantitative responses, and thematic analysis tools to analyse the qualitative responses. Fourteen scenario categories and seven resolution categories were developed from the 589 situations recorded. The top issues were differential treatment of children,
Loneliness, Duration of Loneliness, and Reported Stress Symptomatology

The correlations between intensity of loneliness, duration of loneliness, and reported psychological and somatic stress symptoms were examined in 195 undergraduate students (100 women and 95 men). Analysis indicated that intensity and duration of loneliness were significantly correlated and both were also significantly positively correlated with subjects' reported psychological and somatic stress symptoms. In a forced-entry multiple regression equation predicting over-all stress symptomatology, only duration of loneliness emerged as a significant predictor, while intensity of loneliness did not add significant predictability. For college students, loneliness may be related to a wide array of reported psychological and somatic stress symptoms. It is also suggested that the duration of a lonely experience is perhaps a better predictor for symptoms of stress than intensity of loneliness.