Miracle-dz/UniFAR-FTUs huggingface dataset:
Family Matters

As primary agents of socialization, families and schools can powerfully shape the academic adaptation of youth. Using data from the Social Identification and Academic Adaptation studies, we compare the family and school environments of Latino high school seniors living in a new destination, North Carolina, with those living in an established destination, Los Angeles. We then evaluate how family and school environments influence their educational aspirations, expectations, and performance. We find that parents’ achievement expectations promote Latino youths’ academic success, while perceived future family obligations inhibit them. Additionally, we find that schools remain essential in promoting Latino immigrant youths’ achievement by providing a supportive and safe learning environment. Discrimination in schools and the broader community is associated with lower educational expectations and aspirations but not lower academic performance.
Evaluation of Deep Reinforcement Learning Methods for Modular Robots

We propose a novel framework for Deep Reinforcement Learning (DRL) in modular robotics using traditional robotic tools that extend state-of-the-art DRL implementations and provide an end-to-end approach which trains a robot directly from joint states. Moreover, we present a novel technique to transfer these DLR methods into the real robot, aiming to close the simulation-reality gap. We demonstrate the robustness of the performance of state-of-the-art DRL methods for continuous action spaces in modular robots, with an empirical study both in simulation and in the real robot where we also evaluate how accelerating the simulation time affects the robot's performance. Our results show that extending the modular robot from 3 degrees-of-freedom (DoF), to 4 DoF, does not affect the robot's learning. This paves the way towards training modular robots using DRL techniques.
Synthetic Jet Cooling Part II: Experimental Results of an Acoustic Dipole Cooler

The paper discusses experimental results for a typical embodiment of synthetic jet cooling technology: an acoustic dipole cooler comprised of a standard loudspeaker in a housing provided with two pipes. A transient measurement set up is used to measure the average heat transfer coefficient based on cooling a 5*5 cm2 metal plate. Heat transfer and noise results are presented for a range of frequencies, pipe lengths and diameters. The results are compared with a standard 60*60 mm fan. It is concluded that, at least for the cases studied, the synthetic jet is superior on all fronts: heat transfer performance, noise level and dissipated power.
A  $16\times16$  CMOS Amperometric Microelectrode Array for Simultaneous Electrochemical Measurements

There is a requirement for an electrochemical sensor technology capable of making multivariate measurements in environmental, healthcare, and manufacturing applications. Here, we present a new device that is highly parallelized with an excellent bandwidth. For the first time, electrochemical cross-talk for a chip-based sensor is defined and characterized. The new CMOS electrochemical sensor chip is capable of simultaneously taking multiple, independent electroanalytical measurements. The chip is structured as an electrochemical cell microarray, comprised of a microelectrode array connected to embedded self-contained potentiostats. Speed and sensitivity are essential in dynamic variable electrochemical systems. Owing to the parallel function of the system, rapid data collection is possible while maintaining an appropriately low-scan rate. By performing multiple, simultaneous cyclic voltammetry scans in each of the electrochemical cells on the chip surface, we are able to show (with a cell-to-cell pitch of 456 $\mu \text{m}$ ) that the signal cross-talk is only 12% between nearest neighbors in a ferrocene rich solution. The system opens up the possibility to use multiple independently controlled electrochemical sensors on a single chip for applications in DNA sensing, medical diagnostics, environmental sensing, the food industry, neuronal sensing, and drug discovery.
Persistent Hematologic Dysfunction after Peptide Receptor Radionuclide Therapy with 177Lu-DOTATATE: Incidence, Course, and Predicting Factors in Patients with Gastroenteropancreatic Neuroendocrine Tumors

Peptide receptor radionuclide therapy (PRRT) may induce long-term toxicity to the bone marrow (BM). The aim of this study was to analyze persistent hematologic dysfunction (PHD) after PRRT with 177Lu-DOTATATE in patients with gastroenteropancreatic neuroendocrine tumors (GEP NETs). Methods: The incidence and course of PHD were analyzed in 274 GEP NET patients from a group of 367 patients with somatostatin receptor–positive tumors. PHD was defined as diagnosis of myelodysplastic syndrome (MDS), acute myeloid leukemia (AML), myeloproliferative neoplasm (MPN), MDS/MPN, or otherwise unexplained cytopenia (for >6 mo). Using data from The Netherlands Cancer Registry, the expected number of hematopoietic neoplasms (MDS, AML, MPN, and MDS/MPN) was calculated and adjusted for sex, age, and follow-up period. The following risk factors were assessed: sex, age over 70 y, bone metastasis, prior chemotherapy, prior external-beam radiotherapy, uptake on the [111In-DTPA0]octreotide scan, tumor load, grade 3–4 hematologic toxicity during treatment, estimated absorbed BM dose, elevated plasma chromogranin A level, baseline blood counts, and renal function. Results: Eleven (4%) of the 274 patients had PHD after treatment with 177Lu-DOTATATE: 8 patients (2.9%) developed a hematopoietic neoplasm (4 MDS, 1 AML, 1 MPN, and 2 MDS/MPN) and 3 patients (1.1%) developed BM failure characterized by cytopenia and BM aplasia. The median latency period at diagnosis (or first suspicion of a PHD) was 41 mo (range, 15–84 mo). The expected number of hematopoietic neoplasms based on The Netherlands Cancer Registry data was 3.0, resulting in a relative risk of 2.7 (95% confidence interval, 0.7–10.0). No risk factors for PHD could be identified for the GEP NET patients, not even bone metastasis or estimated BM dose. Seven patients with PHD developed anemia in combination with a rise in mean corpuscular volume. Conclusion: The prevalence of PHD after PRRT with 177Lu-DOTATATE was 4% in our patient population. The median time at which PHD developed was 41 mo after the first PRRT cycle. The relative risk for developing a hematopoietic neoplasm was 2.7. No risk factors were found for the development of PHD in GEP NET patients.
Uncertainty Relation Based on Wigner–Yanase–Dyson Skew Information with Quantum Memory

We present uncertainty relations based on Wigner–Yanase–Dyson skew information with quantum memory. Uncertainty inequalities both in product and summation forms are derived. It is shown that the lower bounds contain two terms: one characterizes the degree of compatibility of two measurements, and the other is the quantum correlation between the measured system and the quantum memory. Detailed examples are given for product, separable and entangled states.
Effect of dietary fat level on dose response relationships during aflatoxicosis in young chickens.

The effect of aflatoxin in poultry is greater on birds fed a low fat diet, but it is not known whether this effect is associated with a lower apparent minimum effective dose (MED), altered slope of the response curve, or both. Aflatoxin at 16 dosages ranging from 0 to 3.797 micrograms/g of feed was fed to six groups of 15 young chickens per treatment ingesting a 2 or 4% fat diet for 3 wk. The weights of the body, liver, bursa of Fabricius, and spleen and the total lipid content of the liver were measured. Mathematical models were fitted to the data and dose-response curves were predicted as continuous functions of aflatoxin concentration. Quadratic polynomials fit body weight and spleen weight whereas plateau-linear models fit liver weight and liver lipid content in both 2 and 4% fat diets. The weight of the bursa of Fabricius was fit equally well by quadratic and linear plateau models. Dietary fat had negligible effects on the apparent MED (micrograms of aflatoxin per gram of feed) for body, liver and spleen weights, which were calculated from the modeling approach to be 1.37 and 1.41, 1.68 and 1.69, and 1.49 and 1.46 on 2 and 4% fat diets, respectively. The apparent MED for liver lipid content was appreciably lower for birds fed the 2% fat diet than those fed the 4% fat diet (.88 and 1.62, respectively). Similarly, the apparent MED for the bursa was 1.48 and 1.74 for birds fed the 2 and 4% fat diets, respectively. (ABSTRACT TRUNCATED AT 250 WORDS)
P‐131: Synthesis and Device Application of a Dibenzothiophene Derivative as Thermally Activated Delayed Fluorescence Material for Green Fluorescence OLED

The dibenzothiophene derivative, 2,8-bis(9,9-dimethylacridin-10(9H)-yl)dibenzothiophene 5,5-dioxide, as synthesized as a thermally activated delayed fluorescence material for green fluorescence organic light-emitting diodes. The dibenzothiophene derivative had a donor-acceptor structure for thermally activated delayed fluorescent emission and high maximum quantum efficiency of 14.3% was achieved in green devices.
Prediction of Critical Center Load for Bi-stable Laminates

Finite element analysis (FEA) was used to study the snap-through of bi-stable laminate. Along with displacement load, the “static stabilize” algorithm in ABAQUS was employed in FEA. Two kinds of finite models, a two-step model (with internal thermal stress) and an one-step model (without internal thermal stress) were presented. The results show that the thickness defect of specimen must be considered, the error of critical load predicted by the modified two-step model which considers thickness defect is 0.7%. Comparison between one-step model and two-step model indicates that when the deformation is small, the one-step model is accurate and more convenient. Otherwise, the two-step model must be employed.
Biophysical Network Modelling of the dLGN Circuit: Different Effects of Triadic and Axonal Inhibition on Visual Responses of Relay Cells

Despite its prominent placement between the retina and primary visual cortex in the early visual pathway, the role of the dorsal lateral geniculate nucleus (dLGN) in molding and regulating the visual signals entering the brain is still poorly understood. A striking feature of the dLGN circuit is that relay cells (RCs) and interneurons (INs) form so-called triadic synapses, where an IN dendritic terminal can be simultaneously postsynaptic to a retinal ganglion cell (GC) input and presynaptic to an RC dendrite, allowing for so-called triadic inhibition. Taking advantage of a recently developed biophysically detailed multicompartmental model for an IN, we here investigate putative effects of these different inhibitory actions of INs, i.e., triadic inhibition and standard axonal inhibition, on the response properties of RCs. We compute and investigate so-called area-response curves, that is, trial-averaged visual spike responses vs. spot size, for circular flashing spots in a network of RCs and INs. The model parameters are grossly tuned to give results in qualitative accordance with previous in vivo data of responses to such stimuli for cat GCs and RCs. We particularly investigate how the model ingredients affect salient response properties such as the receptive-field center size of RCs and INs, maximal responses and center-surround antagonisms. For example, while triadic inhibition not involving firing of IN action potentials was found to provide only a non-linear gain control of the conversion of input spikes to output spikes by RCs, axonal inhibition was in contrast found to substantially affect the receptive-field center size: the larger the inhibition, the more the RC center size shrinks compared to the GC providing the feedforward excitation. Thus, a possible role of the different inhibitory actions from INs to RCs in the dLGN circuit is to provide separate mechanisms for overall gain control (direct triadic inhibition) and regulation of spatial resolution (axonal inhibition) of visual signals sent to cortex.
Mashup service conflict detection and visualization method for Internet of Things

Many Internet of Things applications provide methods to create mashup services with if-then-else approaches due to its simplicity. When a number of mashup services are increased, it may be suffered by service conflict, that is, mashup services may perform opposite actions or abnormal behavior at the same time. To overcome this issue, this paper proposes the concept of context descriptor to detect service conflict and visualize their situations.
Simeprevir plus sofosbuvir (12 and 8 weeks) in hepatitis C virus genotype 1‐infected patients without cirrhosis: OPTIMIST‐1, a phase 3, randomized study

Effective antiviral therapy is essential for achieving sustained virological response (SVR) in hepatitis C virus (HCV)‐infected patients. The phase 2 COSMOS study reported high SVR rates in treatment‐naive and prior null‐responder HCV genotype (GT) 1‐infected patients receiving simeprevir+sofosbuvir±ribavirin for 12 or 24 weeks. OPTIMIST‐1 (NCT02114177) was a multicenter, randomized, open‐label study assessing the efficacy and safety of 12 and 8 weeks of simeprevir+sofosbuvir in HCV GT1‐infected treatment‐naive and treatment‐experienced patients without cirrhosis. Patients were randomly assigned (1:1; stratified by HCV GT/subtype and presence or absence of NS3 Q80K polymorphism [GT1b, GT1a with Q80K, GT1a without Q80K]), prior HCV treatment history, and IL28B GT [CC, non‐CC]) to simeprevir 150 mg once daily+sofosbuvir 400 mg once daily for 12 or 8 weeks. The primary efficacy endpoint was SVR rate 12 weeks after end of treatment (SVR12). Superiority in SVR12 was assessed for simeprevir+sofosbuvir at 12 and 8 weeks versus a composite historical control SVR rate. Enrolled were 310 patients, who were randomized and received treatment (n = 155 in each arm). SVR12 with simeprevir+sofosbuvir for 12 weeks (97% [150/155; 95% confidence interval 94%‐100%]) was superior to the historical control (87%). SVR12 with simeprevir+sofosbuvir for 8 weeks (83% [128/155; 95% confidence interval 76‐89%]) was not superior to the historical control (83%). The most frequent adverse events were nausea, headache, and fatigue (12‐week arm: 15% [23/155], 14% [22/155], and 12% [19/155]; 8‐week arm: 9% [14/155], 17% [26/155], and 15% [23/155], respectively). No patients discontinued treatment due to an adverse event. One (1%, 12‐week arm) and three (2%, 8‐week arm) patients experienced a serious adverse event (all unrelated to study treatment). Conclusion: Simeprevir+sofosbuvir for 12 weeks is highly effective in the treatment of HCV GT1‐infected patients without cirrhosis, including those with Q80K. (Hepatology 2016;64:370‐380)
A Novel Strategy to Prevent Advanced Atherosclerosis and Lower Blood Glucose in a Mouse Model of Metabolic Syndrome

Cardiovascular disease caused by atherosclerosis is the leading cause of mortality associated with type 2 diabetes and metabolic syndrome. Insulin therapy is often needed to improve glycemic control, but it does not clearly prevent atherosclerosis. Upon binding to the insulin receptor (IR), insulin activates distinct arms of downstream signaling. The IR-Akt arm is associated with blood glucose lowering and beneficial effects, whereas the IR-Erk arm might exert less desirable effects. We investigated whether selective activation of the IR-Akt arm, leaving the IR-Erk arm largely inactive, would result in protection from atherosclerosis in a mouse model of metabolic syndrome. The insulin mimetic peptide S597 lowered blood glucose and activated Akt in insulin target tissues, mimicking insulin’s effects, but only weakly activated Erk and even prevented insulin-induced Erk activation. Strikingly, S597 retarded atherosclerotic lesion progression through a process associated with protection from leukocytosis, thereby reducing lesional accumulation of inflammatory Ly6Chi monocytes. S597-mediated protection from leukocytosis was accompanied by reduced numbers of the earliest bone marrow hematopoietic stem cells and reduced IR-Erk activity in hematopoietic stem cells. This study provides a conceptually novel treatment strategy for advanced atherosclerosis associated with metabolic syndrome and type 2 diabetes.
ARE FACE-TO-FACE AND ICT MODES OF COMMUNICATION MUTUALLY INTERDEPENDENT? A MULTILEVEL PATH ANALYSIS INCORPORATING SOCIAL NETWORK DYNAMICS AND SOCIAL INTERACTION HISTORY

The interaction between the use of Information and Communication Technology (ICT) and travel and transportation has been an important issue in transportation research. ICT may substitute work trips and enhances non-work travel. Particularly for social activity and travel behaviour existing studies suggest that ICT has complementary effects: ICT enhances social travel or increases efficiency in scheduling the activity by introducing flexibility into it or does both. However, with changing life events social network and associated travel may change for each ego-alter combination. These disaggregated effects ultimately bring in changes to the overall travel schedule of the ego and eventually to the
Multilingual cyberbullying detection system: Detecting cyberbullying in Arabic content

In the era of Internet and electronic devices bullying shifted its place from schools and backyards into the cyberspace; it is now known as Cyberbullying. Children of the Arab countries are suffering from cyberbullying same as children worldwide. Thus concerns from cyberbullying are elevating. A lot of research is done for the purpose of handling this situation. The current research is focusing on detection and mitigation of cyberbullying; while previous research dealt with the psychological effects of cyberbullying on the victim and the predator. A lot of research proposed solutions for detecting cyberbullying in English language and a few more languages, but none till now covered cyberbullying in Arabic language. Several techniques contribute in cyberbullying detection, mainly Machine Learning (ML) and Natural Language Processing (NLP). This paper presents a solution for detecting and stopping cyberbullying with focus on content written in Arabic Language. Thus the primary results of the system are displayed and discussed.
Discovering Key Nodes in a Temporal Social Network

[Background]Discovering key nodes plays a significant role in Social Network Analysis(SNA). Effective and accurate mining of key nodes promotes more successful applications in fields like advertisement and recommendation. [Methods] With focus on the temporal and categorical property of users' actions - when did they re-tweet or reply a message, as well as their social intimacy measured by structural embeddings, we designed a more sensitive PageRank-like algorithm to accommodate the growing and changing social network in the pursue of mining key nodes. [Results] Compared with our baseline PageRank algorithm, key nodes selected by our ranking algorithm noticeably perform better in the SIR disease simulations with SNAP Higgs dataset. [Conclusion] These results contributed to a better understanding of disseminations of social events over the network.
A Scalable Approach to Chasing Multiple Moving Targets with Multiple Agents

Chasing multiple mobile targets with multiple agents is important in several applications, such as computer games and police chasing scenarios. Existing approaches can compute optimal policies. However, they have a limited scalability, as they implement expensive minimax searches. We introduce a sub-optimal but scalable approach that assigns individual agents to individual targets and that can dynamically re-compute such assignments. We provide a theoretical analysis, including upper bounds on the number of time steps required to solve an instance. In a detailed empirical evaluation on grid maps, our algorithm scales up very convincingly beyond the limits of previous methods. On small problems, where a comparison to a minimax approach is possible, the results demonstrate a good solution quality for our method.
Topology, Cross-Frequency, and Same-Frequency Band Interactions Shape the Generation of Phase-Amplitude Coupling in a Neural Mass Model of a Cortical Column

Phase-amplitude coupling (PAC), a type of cross-frequency coupling (CFC) where the phase of a low-frequency rhythm modulates the amplitude of a higher frequency, is becoming an important indicator of information transmission in the brain. However, the neurobiological mechanisms underlying its generation remain undetermined. A realistic, yet tractable computational model of the phenomenon is thus needed. Here we propose a neural mass model of a cortical column, comprising fourteen neuronal populations distributed across four layers (L2/3, L4, L5 and L6). The conditional transfer entropies (cTE) from the phases to the amplitudes of the generated oscillations are estimated by means of the conditional mutual information. This approach provides information regarding directionality by distinguishing PAC from APC (amplitude-phase coupling), i.e. the information transfer from amplitudes to phases, and can be used to estimate other types of CFC such as amplitude-amplitude coupling (AAC) and phase-phase coupling (PPC). While experiments often only focus on one or two PAC combinations (e.g., theta-gamma or alpha-gamma), we found that a cortical column can simultaneously generate almost all possible PAC combinations, depending on connectivity parameters, time constants, and external inputs. We found that the strength of PAC between two populations was strongly correlated with the strength of the effective connections between them and, on average, did not depend upon the presence or absence of a direct (anatomical) connection. When considering a cortical column circuit as a complex network, we found that neuronal populations making indirect PAC connections had, on average, higher local clustering coefficient, efficiency, and betweenness centrality than populations making direct connections and populations not involved in PAC connections. This suggests that their interactions were more efficient when transmitting information. Since more than 60% of the obtained interactions represented indirect connections, our results highlight the importance of the topology of cortical circuits for the generation on of the PAC phenomenon. Finally, our results demonstrated that indirect PAC interactions can be explained by a cascade of direct CFC and same-frequency band interactions, suggesting that PAC analysis of experimental data should be accompanied by the estimation of other types of frequency interactions for an integrative understanding of the phenomenon.