Miracle-dz/UniFAR-FTUs huggingface dataset:
Transitions in Romantic Relationships and Development of Self-Esteem

Research suggests that self-esteem increases during late adolescence and young adulthood, but that there is large interindividual variability in this development. However, little is known about the factors accounting for these findings. Using propensity score matching, we tested whether important transitions in the domain of romantic relationships (i.e., beginning a relationship, marrying, and breaking up) explain why individuals differ in the particular self-esteem trajectory they follow. Data came from a longitudinal German study with a large sample of 3 nationally representative cohorts of late adolescents and young adults (total N = 9,069). The analyses were based on 4 assessments across a 3-year period. Using matched samples, the results showed that beginning a relationship increased self-esteem and that the increase persisted when the relationship held at least for 1 year. Experiencing a relationship break-up decreased self-esteem, but the effect disappeared after 1 year, even if the participant stayed single. Marrying did not influence self-esteem. Additionally, we tested for selection effects of self-esteem on the later occurrence of relationship transitions. High self-esteem predicted the beginning of a relationship and low self-esteem predicted relationship break-up. All findings held across gender, age, and migration background. Furthermore, relationship quality mediated the effect of self-esteem on relationship break-up and the effect of beginning a longer versus a short relationship on self-esteem. The findings have significant implications because they show that self-esteem influences whether important transitions occur in the relationship domain and that, in turn, experiencing these transitions influences the further development of self-esteem.
Leveraging Hierarchical Deep Semantics to Classify Implicit Discourse Relations via a Mutual Learning Method

This article presents a mutual learning method using hierarchical deep semantics for the classification of implicit discourse relations in English. With the absence of explicit discourse markers, traditional discourse techniques mainly concentrate on discrete linguistic features in this task, which always leads to a data sparseness problem. To relieve this problem, we propose a mutual learning neural model that makes use of multilevel semantic information together, including the distribution of implicit discourse relations, the semantics of arguments, and the co-occurrence of phrases and words. During the training process, the predicting targets of the model, which are the probability of the discourse relation type and the distributed representation of semantic components, are learned jointly and optimized mutually. The experimental results show that this method outperforms the previous works, especially in multiclass identification attributed to the hierarchical semantic representations and the mutual learning strategy.
Meeting application requirements with conductive carbon black

High structure or so‐called conductive carbon blacks (CCBs) constitute the major family of conductive additives. They enable one to make polymers permanently conductive at “low” to “very low” loadings, for technical applications involving, e.g., the transport of energy, protection against arcing or discharge. Designing conductive parts requires certain know‐how, as many parameters influence the final electrical conductivity, and many other requirements have to be fulfilled. This paper highlights the impact of the carbon black (CB) type and loading, the polymer type, and the compounding conditions on the conductive, mechanical, dispersion, and flow properties of various plastics compounds. The study especially positions a unique family of low surface area (LSA) CCBs, suggests means to make conductive parts with compounding and transformation ease, and points out that more conductive additive does not automatically give the best overall performance. J. VINYL. ADDIT. TECHNOL. , 12:14–18, 2006. © 2006 Society of Plastics Engineers
A Mathematical Model for Predicting Cutting Force in Rotary Ultrasonic Drilling

Rotary ultrasonic machining is a hybrid machining process that combines diamond grinding and ultrasonic machining. The mathematical predictive material removal rate models have been developed in rotary ultrasonic machining with a constant pressure. However, there is no report on mathematical predictive cutting force model in rotary ultrasonic drilling at a constant feedrate presently. Since cutting force can not only reflect the processing state, but also affect the machined surface quality, it is necessary to develop a mathematical model for predicting cutting force which can forecast the machining results. This paper presents a mathematical model to predict the cutting force in rotary ultrasonic machining. On the basis of this model, the relations between cutting force and controllable machining parameters are researched by numerical computation method. This paper also researches the influences of spindle speed and feedrate on cutting force by experiments. The results observed through the experiments agree well with the relations generated from the mathematical model, which verify the developed model.
Highly Sensitive Bioluminescent Probe for Thiol Detection in Living Cells.

The sensitive detection of thiols including glutathione and cysteine is desirable owing to their roles as indispensable biomolecules in maintaining intracellular biological redox homeostasis. Herein, we report the design and synthesis of SEluc-1 (sulfinate ester luciferin), a chemoselective probe exhibiting a ratiometric and turn-on response towards thiols selectively in fluorescence and bioluminescence, respectively. The probe, which was designed based on the "caged" luciferin strategy, displays excellent selectivity, high signal/noise ratio (>240 in the case of bioluminescence), and a biologically relevant limit of detection (LOD, 80 nm for cysteine), which are all desirable traits for a sensitive bioluminescent sensor. SEluc-1 was further applied to fluorescence imaging of thiol activity in living human cervical cancer HeLa cell cultures, and was successfully able to detect fluctuations in thiol concentrations induced by oxidative stress in a bioluminescent assay utilizing African green monkey fibroblast COS-7 cells and human breast adenocarcinoma MCF-7 cells.
3D IC Memory BIST Controller Allocation for Test Time Minimization Under Power Constraints

Built-in-self-test (BIST) is a useful technique for memory testing, but the synthesis of memory BIST controllers for 3D ICs (three-dimensional ICs) has not been well studied. In this paper, we propose a two-stage approach to synthesize the memory BIST controllers of a 3D IC under power constraints: the first stage performs memory grouping and the second stage performs test scheduling (including both pre-bond testing and post-bond testing). Compared with the previous work, our approach has the following two advantages: (1) our approach allows a memory BIST controller to perform parallel memory tests; (2) our approach allows a memory test to start from any time point within a session. Thus, our approach has a higher flexibility for both memory grouping and test scheduling. Benchmark data consistently show that our approach can reduce both the test application time and the circuit area overhead at the same time.
WNT Stimulation Dissociates a Frizzled 4 Inactive-State Complex with Gα12/13

Frizzleds (FZDs) are unconventional G protein–coupled receptors that belong to the class Frizzled. They are bound and activated by the Wingless/Int-1 lipoglycoprotein (WNT) family of secreted lipoglycoproteins. To date, mechanisms of signal initiation and FZD–G protein coupling remain poorly understood. Previously, we showed that FZD6 assembles with Gαi1/Gαq (but not with Gαs, Gαo and Ga12/13), and that these inactive-state complexes are dissociated by WNTs and regulated by the phosphoprotein Dishevelled (DVL). Here, we investigated the inactive-state assembly of heterotrimeric G proteins with FZD4, a receptor important in retinal vascular development and frequently mutated in Norrie disease or familial exudative vitreoretinopathy. Live-cell imaging experiments using fluorescence recovery after photobleaching show that human FZD4 assembles—in a DVL-independent manner—with Gα12/13 but not representatives of other heterotrimeric G protein subfamilies, such as Gαi1, Gαo, Gαs, and Gαq. The FZD4–G protein complex dissociates upon stimulation with WNT-3A, WNT-5A, WNT-7A, and WNT-10B. In addition, WNT-induced dynamic mass redistribution changes in untransfected and, even more so, in FZD4 green fluorescent protein–transfected cells depend on Gα12/13. Furthermore, expression of FZD4 and Gα12 or Gα13 in human embryonic kidney 293 cells induces WNT-dependent membrane recruitment of p115-RHOGEF (RHO guanine nucleotide exchange factor, molecular weight 115 kDa), a direct target of Gα12/13 signaling, underlining the functionality of an FZD4-Gα12/13-RHO signaling axis. In summary, Gα12/13-mediated WNT/FZD4 signaling through p115-RHOGEF offers an intriguing and previously unappreciated mechanistic link of FZD4 signaling to cytoskeletal rearrangements and RHO signaling with implications for the regulation of angiogenesis during embryonic and tumor development.
A Rounds vs. Communication Tradeoff for Multi-Party Set Disjointness

In the set disjointess problem, we have k players, each with a private input X^i &#x2286; [n], and the goal is for the players to determine whether or not their sets have a global intersection. The players communicate over a shared blackboard, and we charge them for each bit that they write on the board.We study the trade-off between the number of interaction rounds we allow the players, and the total number of bits they must send to solve set disjointness. We show that if R rounds of interaction are allowed, the communication cost is &#x03A9;(nk^{1/R}/R^4), which is nearly tight. We also leverage our proof to show that wellfare maximization with unit demand bidders cannot be solved efficiently in a small number of rounds: here, we have k players bidding on n items, and the goal is to find a matching between items and player that bid on them which approximately maximizes the total number of items assigned. It was previously shown by Alon et. al. that &#x03A9;(log log k) rounds of interaction are required to find an assignment which achieves a constant approximation to the maximum-wellfare assignment, even if each player is allowed to write n^{&#x2265;(R)} bits on the board in each round, where &#x2265;(R) = exp(-R). We improve this lower bound to &#x03A9;log k / log log k), which is known to be tight up to a log log k factor.
Overuse wrist injuries in young athletes: What do sports physicians consider important signals and functional limitations?

ABSTRACT This study’s objective was to collect items from experienced sports physicians, relating to the presence and severity of overuse wrist injuries in young athletes, for developing a measurement instrument for signals of overuse wrist injury. Seven Dutch elite sports physicians involved in guidance and treatment of young athletes in wrist-loading sports (gymnastics, tennis, judo, field hockey, volleyball and rowing) participated in a focus group. They discussed signals and limitations related to overuse wrist injuries in young athletes. Data were coded and categorised into signals and limitations with subcategories, using an inductive approach. Of the resulting 61 signals and limitations in nineteen (sub)categories, 20 were considered important, forming a comprehensive item set for identifying overuse wrist injury in young athletes. Signals such as pain, “click”, crepitations, swelling and limited range of motion were marked useful for early identification of overuse wrist injury. Limitations in movement and performance were considered indicative of severe overuse injury but less relevant for initial injury identification. The focus group provided 17 important signals and 3 important limitations indicative of overuse wrist injury. These provide the basis for a valid measurement instrument for identifying overuse wrist injury in young athletes, with equal emphasis on pain and on other symptoms.
Accuracy of pulsed laser atom probe tomography for compound semiconductor analysis

Atom probe tomography has recently experienced a renaissance, strongly promoted by the revival of pulsed laser atom probe. The technique is now widely employed to study semiconductor materials at the nanometre level. This paper summarises some aspects of the accuracy of pulsed laser atom probe relevant to semiconductor applications. It is shown that laser pulsing can reduce the lateral resolution due to thermally stimulated surface migration. Moreover, the commonly observed cluster ions can undergo field dissociation which results in an increased probability of ion loss due to pile-up effects at the detector. Field dissociation can also induce a new type of local magnification that increases spatial inaccuracy in the data reconstruction. These effects can be reduced by an appropriate choice of experimental parameters. Despite these difficulties, the atom probe technique can provide unparalleled insight into the nanoscale structure and chemistry of a wide range of semiconductor devices.
RIPK3 in cell death and inflammation: the good, the bad, and the ugly

Necroptosis is a form of cell death that can be observed downstream of death receptor or pattern recognition receptor signaling under certain cellular contexts, or in response to some viral and bacterial infections. The receptor interacting protein kinases‐1 (RIPK1) and RIPK3 are at the core of necroptotic signaling, among other proteins. Because this pathway is normally halted by the pro‐apoptotic protease caspase‐8 and the IAP ubiquitin ligases, how and when necroptosis is triggered in physiological settings are ongoing questions. Interestingly, accumulating evidence suggests that RIPK3 has functions beyond the induction of necroptotic cell death, especially in the areas of tissue injury and sterile inflammation. Here, we will discuss the role of RIPK3 in a variety of physiological conditions, including necroptotic and non‐necroptotic cell death, in the context of viral and bacterial infections, tissue damage, and inflammation.
Critical assessment of methods of protein structure prediction (CASP)—Round XII

This article reports the outcome of the 12th round of Critical Assessment of Structure Prediction (CASP12), held in 2016. CASP is a community experiment to determine the state of the art in modeling protein structure from amino acid sequence. Participants are provided sequence information and in turn provide protein structure models and related information. Analysis of the submitted structures by independent assessors provides a comprehensive picture of the capabilities of current methods, and allows progress to be identified. This was again an exciting round of CASP, with significant advances in 4 areas: (i) The use of new methods for predicting three‐dimensional contacts led to a two‐fold improvement in contact accuracy. (ii) As a consequence, model accuracy for proteins where no template was available improved dramatically. (iii) Models based on a structural template showed overall improvement in accuracy. (iv) Methods for estimating the accuracy of a model continued to improve. CASP continued to develop new areas: (i) Assessing methods for building quaternary structure models, including an expansion of the collaboration between CASP and CAPRI. (ii) Modeling with the aid of experimental data was extended to include SAXS data, as well as again using chemical cross‐linking information. (iii) A team of assessors evaluated the suitability of models for a range of applications, including mutation interpretation, analysis of ligand binding properties, and identification of interfaces. This article describes the experiment and summarizes the results. The rest of this special issue of PROTEINS contains papers describing CASP12 results and assessments in more detail.
A Variable-Instar Climate-Driven Individual Beetle-Based Phenology Model for the Invasive Asian Longhorned Beetle (Coleoptera: Cerambycidae)

Abstract Efforts to manage and eradicate invasive species can benefit from an improved understanding of the physiology, biology, and behavior of the target species, and ongoing efforts to eradicate the Asian longhorned beetle (Anoplophora glabripennis Motschulsky) highlight the roles this information may play. Here, we present a climate-driven phenology model for A. glabripennis that provides simulated life-tables for populations of individual beetles under variable climatic conditions that takes into account the variable number of instars beetles may undergo as larvae. Phenology parameters in the model are based on a synthesis of published data and studies of A. glabripennis, and the model output was evaluated using a laboratory-reared population maintained under varying temperatures mimicking those typical of Central Park in New York City. The model was stable under variations in population size, simulation length, and the Julian dates used to initiate individual beetles within the population. Comparison of model results with previously published field-based phenology studies in native and invasive populations indicates both this new phenology model, and the previously published heating-degree-day model show good agreement in the prediction of the beginning of the flight season for adults. However, the phenology model described here avoids underpredicting the cumulative emergence of adults through the season, in addition to providing tables of life stages and estimations of voltinism for local populations. This information can play a key role in evaluating risk by predicting the potential for population growth, and may facilitate the optimization of management and eradication efforts.
CDH1 regulates E2F1 degradation in response to differentiation signals in keratinocytes

The E2F1 transcription factor plays key roles in skin homeostasis. In the epidermis, E2F1 expression is essential for normal proliferation of undifferentiated keratinocytes, regeneration after injury and DNA repair following UV radiation-induced photodamage. Abnormal E2F1 expression promotes nonmelanoma skin carcinoma. In addition, E2F1 must be downregulated for proper keratinocyte differentiation, but the relevant mechanisms involved remain poorly understood. We show that differentiation signals induce a series of post-translational modifications in E2F1 that are jointly required for its downregulation. Analysis of the structural determinants that govern these processes revealed a central role for S403 and T433. In particular, substitution of these two amino acid residues with non-phosphorylatable alanine (E2F1 ST/A) interferes with E2F1 nuclear export, K11- and K48-linked polyubiquitylation and degradation in differentiated keratinocytes. In contrast, replacement of S403 and T433 with phosphomimetic aspartic acid to generate a pseudophosphorylated E2F1 mutant protein (E2F1 ST/D) generates a protein that is regulated in a manner indistinguishable from that of wild type E2F1. Cdh1 is an activating cofactor that interacts with the anaphase-promoting complex/cyclosome (APC/C) ubiquitin E3 ligase, promoting proteasomal degradation of various substrates. We found that Cdh1 associates with E2F1 in keratinocytes. Inhibition or RNAi-mediated silencing of Cdh1 prevents E2F1 degradation in response to differentiation signals. Our results reveal novel regulatory mechanisms that jointly modulate post-translational modifications and downregulation of E2F1, which are necessary for proper epidermal keratinocyte differentiation.
Hierarchically decentralized control for in-wheel-motored electric vehicles with global and local objectives

Motion control of electric vehicle has been widely studies for many years. Usually, the control system is designed hierarchically, including the upper-layer that performs car motion global objectives, and the lower-layer that controls the local actuators. However, to the best of our knowledge, there exists no systematic theory to analyze and design the vehicle system as a whole. Almost the published works treat the upper-layer and lower-layer separately and neglect the actuators' physical interaction. This paper proposes a novel hierarchically decentralized control for electric vehicle driven by multi in-wheel-motors. Our main idea is to clarify the role-sharing of the upper and lower layers via a shared model set which should be considered in both layers. We clearly represent the trade-off between the global and local objectives through the size of the model set. The effectiveness of the designed control system is verified using Carsim-Matlab simulation, where we show that the robustness of the overall system can be assured even if the driving force distribution to each local motor is time-varying.
Compression garment promotes muscular strength recovery after resistance exercise.

PURPOSE This study aimed to investigate the effects of wearing a compression garment (CG) for 24 h on changes in muscular strength and blood parameters over time after resistance exercise. METHODS Nine trained men conducted resistance exercises (10 repetitions of 3-5 sets at 70% of one-repetition maximum (1RM) for nine exercises) in two trials, wearing either a CG or a normal garment (CON) for 24 h after exercise. Recovery of muscular strength, blood parameters, muscle soreness, and upper arm and thigh circumference were compared between the trials. RESULTS Both trials showed decreases in maximal strength after the exercise (P < 0.05). However, the CG trial showed faster recovery of one-repetition maximum for the chest press from 3 to 8 h after exercise (P < 0.05). Recovery of maximal knee extension strength was also improved in the CG trial 24 h after exercise (P < 0.05). The CG trial was associated with lower muscle soreness and subjective fatigue scores the following morning (P < 0.05). The upper arm and thigh circumferences were significantly higher during the recovery period in the CON trial, whereas no change was observed in the CG trial. Blood lactate, insulin like growth factor-1, free testosterone, myoglobin, creatine kinase, interleukin 6, and interleukin 1 receptor antagonist concentrations for 24 h after exercise were similar in both trials. CONCLUSIONS Wearing a CG after resistance exercise facilitates the recovery of muscular strength. Recovery for upper body muscles significantly improved within 3-8 h after exercise. However, facilitation of recovery of lower limb muscles by wearing the CG took a longer time.