Miracle-dz/UniFAR-FTUs huggingface dataset:
On-Task Behavior of Children With Attention-Deficit/Hyperactivity Disorder: Examining Treatment Effectiveness of Play Therapy Interventions

This study focused on examining the treatment effect associated with two 12-session interventions (child-centered play therapy and nature-based child-centered play therapy) among early elementary schoolchildren (N = 8) who had an attention-deficit/hyperactivity disorder diagnosis. Children were randomly assigned to one of the treatment groups or the waitlist group. We found that the child-centered play therapy intervention ranged from debatable (n = 1) to effective (n = 2) and the nature-based child-centered play therapy intervention ranged from debatable (n = 1) to very effective (n = 1), with one participant also scoring in the effective range for improving on-task behavior. In comparison, the waitlist group participants had a large fluctuation in scores, with the analysis revealing that noninvolvement in treatment was ineffective for improving on-task behavior.
X-Ray Properties of the Quasar HE 0450−2958

We present an XMM-Newton EPIC observation of HE 0450-2958, which may be a "naked" quasar as suggested by Magain and coworkers. The XMM-Newton EPIC spectra show a substantial soft X-ray excess and a steep photon index, as well as marginal evidence for a weak Fe Kα line. The X-ray absorption is consistent with the Galactic level. The 0.3-10 keV EPIC spectra can be fitted by a power-law plus blackbody model; however, the fit by a relativistically blurred photoionized disk reflection model is better. We estimate a black hole mass of 2 × 107 M⊙ from the X-ray variability. This broadly agrees with the value derived from the optical Hβ line width. These results support a high-state Seyfert galaxy as the source. HE 0450-2958 shares properties with transitionary objects from ultraluminous infrared galaxies to quasars. We suggest that HE 0450-2958 is just in the beginning of an optical quasar window.
Lyapunov stability analysis for non-linear satellite attitude control in the presence of states measurement error

This paper employs the feedback state for satellite attitude control which has nonlinear dynamic. The main contribution is considering measurement error modeling by stochastic signal with normal distribution and zero mean and certain standard deviation. In particular to design a control input based on state feedback, there is no desertion from erroneous nature of state measurement or estimation. The essential ideas and simulation results are presented to illustrate the performance of the developed algorithm.
The Temporary Assistance for Needy Families Program

The Temporary Assistance for Needy Families (TANF) program was created in 1996 from what was previously named the Aid to Families with Dependent Children (AFDC) program. The TANF program is intended to serve low-income families, primarily those with only a single parent present, as did the AFDC program. The TANF program is distinguished from AFDC by strong work requirements, time limits on receipt, options for the provision of noncash assistance, and by a block grant financing structure. This paper reviews the rules of the TANF program and the research that has been conducted on it and on the AFDC program.
Association Between Betrayal Trauma and Non-Suicidal Self-Injury Among Adolescent Offenders: Shame and Emotion Dysregulation as Mediating Factors

abstract hildhood trauma has been identified as a strong risk factor for non-suicidal self-injury (NSSI; Gratz, 2006). Existing literature suggests that the degree of betrayal involved in a traumatic experience may have an impact on NSSI behaviors (Gómez & Freyd, 2013), but little work has examined the potential relationship between betrayal trauma and NSSI. This cross-sectional study examined the association between history of high betrayal trauma and engagement in NSSI, as well as explored shame and emotion dysregulation as potential mediators of the association. A total of 100 adolescent offenders in Singapore were recruited from a probation setting, and administered measures assessing betrayal trauma, shame, emotion dysregulation, and NSSI behaviors. A history of high betrayal trauma was significantly associated with both lifetime and past-year engagement in NSSI. Mediation analysis using bootstrap resampling indicated that both shame and emotion dysregulation individually mediated the association between high betrayal trauma and frequency of past-year NSSI. In a multiple mediation analysis, emotion dysregulation emerged as a significant mediator of the association, whereas shame did not. The findings highlight the importance of betrayal trauma as a correlate of NSSI, and point to emotion dysregulation as a key mechanism underlying the relationship between betrayal trauma and NSSI.
The Effectiveness of Problem Based Learning and Project Based Learning Model to Improve Natural Science Study Outcomes

The limited creativity of teachers in choosing the right learning model has an impact on the students' learning outcomes. This study aims to compare the effectiveness of problem-based learning and project-based learning model in improving the outcomes of science learning. The type of research is experimental research with pretest-posttest design. The population is the students in the seventh grade of SMP Bina Insani Semarang. The samples were taken by cluster random sampling technique. Research data were analyzed by using independent test sample t test at α 0.05. The results showed: (1) there were differences of cognitive learning outcomes between group based learning and project based learning with significance value 0.001 0.05. So, the conclusion is problem based learning models is more effective to improve students' cognitive learning outcomes than project based learning models. Both models do not show significant differences in improving students' environmental care attitudes. The benefits of this research can find a synthesis to add khasanah in the field of science learning.
(Re)discovering the PLS approach in management science

Over the last two decades management scientists have made increasing use of causal modeling techniques, especially structural equations and most notably those based on covariance. One such technique that could make a major contribution to the management sciences is the partial least squares (PLS) approach. In recent years the method has been applied to an increasing number of studies; however, many researchers’ knowledge of the method’s advantages and limitations remains incomplete. The present article addresses this situation by presenting the richness and subtleties of the PLS approach, and by describing the research opportunities it opens up. The principles underlying the PLS method and its practical application are illustrated via a study in the field of customer-supplier relations. This is followed by a review of the approach’s specificities and an examination of the way the tool has been used in previous studies, based on an empirical analysis of 51 articles in the fields of management and strategy. Although some studies did not follow best practices for assessing the statistical reliability of results, analysis of the 51 articles showed that the PLS approach can provide new research opportunities for management scientists by freeing them from a number of technical constraints and allowing them to focus on the object of their research. Consequently, raising awareness of the PLS approach among the management science research community could greatly enrich the field.
Prediction of protein subcellular locations using fuzzy k-NN method

MOTIVATION Protein localization data are a valuable information resource helpful in elucidating protein functions. It is highly desirable to predict a protein's subcellular locations automatically from its sequence. RESULTS In this paper, fuzzy k-nearest neighbors (k-NN) algorithm has been introduced to predict proteins' subcellular locations from their dipeptide composition. The prediction is performed with a new data set derived from version 41.0 SWISS-PROT databank, the overall predictive accuracy about 80% has been achieved in a jackknife test. The result demonstrates the applicability of this relative simple method and possible improvement of prediction accuracy for the protein subcellular locations. We also applied this method to annotate six entirely sequenced proteomes, namely Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster, Oryza sativa, Arabidopsis thaliana and a subset of all human proteins. AVAILABILITY Supplementary information and subcellular location annotations for eukaryotes are available at http://166.111. 30.65/hying/fuzzy_loc. htm
Scale-Free Convolutional Neural Network for Remote Sensing Scene Classification

Fine-tuning of pretrained convolutional neural networks (CNNs) has been proven to be an effective strategy for remote sensing image scene classification, particularly when a limited number of labeled data sets are available for training purposes. However, such a fine-tuning process often needs that the input images are resized into a fixed size to generate input vectors of the size required by fully connected layers (FCLs) in the pretrained CNN model. Such a resizing process often discards key information in the scenes and thus deteriorates the classification performance. To address this issue, in this paper, we introduce a scale-free CNN (SF-CNN) for remote sensing scene classification. Specifically, the FCLs in the CNN model are first converted into convolutional layers, which not only allow the input images to be of arbitrary sizes but also retain the ability to extract discriminative features using a traditional sliding-window-based strategy. Then, a global average pooling (GAP) layer is added after the final convolutional layer so that input images of arbitrary size can be mapped to feature maps of uniform size. Finally, we utilize the resulting feature maps to create a new FCL that is fed to a softmax layer for final classification. Our experimental results conducted using several real data sets demonstrate the superiority of the proposed SF-CNN method over several well-known classification methods, including pretrained CNN-based ones.
School dropout factors: a teacher and school manager perspective

ABSTRACT The phenomenon of school dropout is perceived as a process that is caused by a variety of factors. Through a questionnaire, teachers in different academic functions (teaching and management) are surveyed to study their perception of school dropout factors at the secondary education level. Factors related to the student, school, family and commitment to learning were noted. According to teachers, the group of factors that most affect school dropout is related to commitment and support for students. In addition, statistically significant relationships between the different groups of dropout factors are verified, and no significant differences were observed between the responses of teachers with teaching functions and those with management functions. Various strategies for preventing school failure are proposed.
Phase II study of cetuximab in combination with FOLFIRI in patients with untreated advanced gastric or gastroesophageal junction adenocarcinoma (FOLCETUX study).

BACKGROUND The purpose of this phase II study was to evaluate the efficacy and safety of cetuximab combined with FOLFIRI as a first-line treatment of advanced gastric or gastroesophageal junction (GEJ) adenocarcinoma. PATIENTS AND METHODS Untreated patients with confirmed advanced gastric or gastroesophageal adenocarcinoma received cetuximab at an initial dose of 400 mg/m(2) intravenously (i.v.) followed by weekly doses of 250 mg/m(2), CPT 11 180 mg/m(2) i.v. on day 1, LFA 100 mg/m(2) i.v. followed by 5-FU 400 mg/m(2) i.v. bolus, and 600 mg/m(2) i.v. 22-h continuous infusion on days 1 and 2 (FOLFIRI) every 2 weeks, for a maximum of 24 weeks, then cetuximab alone was allowed in patients with a complete response, partial response, or stable disease. Antitumor activity was assessed by computed tomography (CT) and positron emission tomography (PET) at baseline and after 6 weeks, and further by CT alone or CT and PET every 6 weeks. RESULTS Thirty-eight patients were enrolled (median age 63.5 years, range 39-83; median Karnofsky performance status 90, range 70-100; stomach 89.5% and GEJ 10.5%; locally advanced disease 13.2% and metastatic disease 86.8%). All 38 patients were assessed for safety and survival, and 34 patients were assessed for overall response rates (ORR). The ORR was 44.1% [95% confidence interval (CI) 27.5% to 60.9%]. The median time-to-progression was 8 months (95% CI 7-9). At the median follow-up time of 11 months, 55.3% of patients were alive, with a median expected survival time of 16 months (95% CI 9-23). Grade 3-4 toxicity included neutropenia (42.1%), acne-like rash (21.1%), diarrhea (7.9%), asthenia (5.3%), stomatitis (5.3%), and hypertransaminasemia (5.3%). There was one (2.6%) treatment-related death. CONCLUSIONS The combination of cetuximab and FOLFIRI is active in gastric and GEJ adenocarcinoma. The higher toxicity appears to be limited to neutropenia.
Transplantation of Oligodendrocyte Precursor Cells Improves Locomotion Deficits in Rats with Spinal Cord Irradiation Injury

Demyelination contributes to the functional impairment of irradiation injured spinal cord. One potential therapeutic strategy involves replacing the myelin-forming cells. Here, we asked whether transplantation of Olig2+-GFP+-oligodendrocyte precursor cells (OPCs), which are derived from Olig2-GFP-mouse embryonic stem cells (mESCs), could enhance remyelination and functional recovery after spinal cord irradiation injury. We differentiated Olig2-GFP-mESCs into purified Olig2+-GFP+-OPCs and transplanted them into the rats’ cervical 4–5 dorsal spinal cord level at 4 months after irradiation injury. Eight weeks after transplantation, the Olig2+-GFP+-OPCs survived and integrated into the injured spinal cord. Immunofluorescence analysis showed that the grafted Olig2+-GFP+-OPCs primarily differentiated into adenomatous polyposis coli (APC+) oligodendrocytes (54.6±10.5%). The staining with luxol fast blue, hematoxylin & eosin (LFB/H&E) and electron microscopy demonstrated that the engrafted Olig2+-GFP+-OPCs attenuated the demyelination resulted from the irradiation. More importantly, the recovery of forelimb locomotor function was enhanced in animals receiving grafts of Olig2+-GFP+-OPCs. We concluded that OPC transplantation is a feasible therapy to repair the irradiated lesions in the central nervous system (CNS).
Secrecy Capacity Region of Fading Broadcast Channels

The fading broadcast channel with confidential messages (BCC) is investigated, where a source node has common information for two receivers (receivers 1 and 2), and has confidential information intended only for receiver 1. The confidential information needs to be kept as secret as possible from receiver 2. The broadcast channel from the source node to receivers 1 and 2 is corrupted by multiplicative fading gain coefficients in addition to additive Gaussian noise terms. The channel state information (CSI) is assumed to be known at both the transmitter and the receivers. The secrecy capacity region is first established for the parallel Gaussian BCC, and the optimal source power allocations that achieve the boundary of the secrecy capacity region are derived. In particular, the secrecy capacity region is established for the Gaussian case of the Csiszar-Korner BCC model. The secrecy capacity results are then applied to give the ergodic secrecy capacity region for the fading BCC.
A Fast Treecode for Multiquadric Interpolation with Varying Shape Parameters

A treecode algorithm is presented for the fast evaluation of multiquadric radial basis function (RBF) approximations. The method is a dual approach to one presented by Krasny and Wang, which applies far-field expansions to clusters of RBF centers (source points). The new approach clusters evaluation points instead and is therefore easily able to cope with basis functions that have different multiquadric shape parameters. The new treecode is able to evaluate an approximation on $N$ centers at $M$ points in $O((N+M) \log M)$ time in the ideal case when evaluation points are uniformly distributed. When coupled with a two-level restricted additive Schwarz preconditioner for GMRES iterations, the treecode is well suited for use within an adaptive RBF iteration, previously described by Driscoll and Heryudono, as is demonstrated by experiments on test functions.
Population Age Structure and Asset Returns: an Empirical Investigation

"This paper investigates the association between population age structure, particularly the share of the population in the 'prime saving years' 45-60, and the returns on stocks and bonds. The paper is motivated by the claim that the aging of the 'Baby Boom' cohort in the United States is a key factor in explaining the recent rise in asset values. It also addresses the associated claim that asset prices will decline when this large cohort reaches retirement age and begins to reduce its asset holdings. This paper begins by considering household age-asset accumulation profiles. Data from the Survey of Consumer Finances suggest that while cross-sectional age-wealth profiles peak for households in their early 60s, cohort data on the asset ownership of the same households show a much less pronounced peak. The paper then considers the historical relationship between demographic structure and real returns on Treasury bills, long-term government bonds, and corporate stock. The results do not suggest any robust relationship between demographic structure and asset returns. The paper concludes by discussing factors such as international capital flows and forward-looking behavior on the part of market participants that could weaken the relationship between age structure and asset returns in a single nation. "
Discovery of Temporal Variation of Arsenic in a Historical Blackfoot Disease Territory by Time Series Analysis

Time series analysis is useful tool for extracting interesting pattern from ordered sequence of observations. The Chianan Blackfoot disease region was selected as study area, and the monitoring data of arsenic in groundwater during the period of 2003 and 2008 was subjected to time series analysis. This study attempted to discover the temporal trend of arsenic level in groundwater by applying the tool of time series analysis. ARMA and ARIMA, the common time series modelling methods, were employed to interpret the information beneath the monitoring data of groundwater quality. Through further verification, the selected ARMA(1,1) model fits the data set well over the other three models. The result showed that this developed numerical model can effectively interpret and forecast the arsenic level in groundwater from area affected by salinization and high arsenic level in Chianan Plain based on the known information.
Elastic and Efficient Virtual Network Provisioning for Cloud-Based Multi-tier Applications

The multi-tier architecture is prevalently adopted by cloud applications, such as the three-tier web application. It is highly desirable for both tenants and providers to provide virtual networks in an efficient and elastic way, where tenant applications can automatically scale in or out with varying workloads and providers can accommodate as many requests as possible in the underlying network. However, due to potential conflicts between efficiency and elasticity, it is challenging to achieve these two goals simultaneously in abstracting tenant requirements and designing corresponding provisioning algorithms. In this paper, we propose an efficient and elastic virtual network provisioning solution called Easy Alloc, which is comprised of an elasticity-aware abstraction model and a virtual network provisioning algorithm. To accurately capture the tenant requirement and maintain the provisioning simplicity for providers, the elasticity-aware model enables two types of decoupling, i.e., Always-on VMs for normal load and on-demand VMs for dynamic scaling, and the bandwidth requirement of each VM for intra- and inter-tier communications. Then we formulate the virtual network provisioning as an overhead minimization problem, where the objective simultaneously considers the bandwidth and elasticity overhead. Due to the NP-completeness of this problem, we leverage two heuristics, slot reservation and tier iteration, to obtain an efficient algorithm. Extensive simulation results show that compared with a typical elasticity-agnostic method under a heavy load, Easy Alloc enables a 9% increase of request acceptance rate and a 16.8% improvement of the successful extension rate. To the best of our knowledge, this is the first work targeting at the elastic virtual network provisioning.
Consequence Assessment of Vapour cloud Explosion Involving Hydrogen Release

This work is concerned with the consequence analysis of vapour cloud explosion (VCE) due to accidental release of hydrogen (H2) from the hydrogen holder in a chloralkali plant. Hydrogen is highly flammable if released accidentally may lead to flash fire or VCE which has the potential to damage people, equipment and facilities in the vicinity of the hydrogen holder. The equivalent TNT, TNO multi energy and Baker-strehlow models are used to estimate the overpressure from the explosion. The probit equation is used to estimate the fatalities of people and damage of facilities from overpressure at different distance from the centre of explosion. The people working at a location of 25 m from the centre of explosion may get affected with different fatality range from 8 to100 %. The structure at a radial distance of 100m from the center of explosion may get minor damage with different probability from 32 to 100 %. The findings of the vulnerability analysis may be used to evaluate the improvements needs on the site and to ensure the safe design, position and location of existing and new structures.
Cholinergic Modulation of Neostriatal Output: A Functional Antagonism between Different Types of Muscarinic Receptors

It is demonstrated that acetylcholine released from cholinergic interneurons modulates the excitability of neostriatal projection neurons. Physostigmine and neostigmine increase input resistance (RN) and enhance evoked discharge of spiny projection neurons in a manner similar to muscarine. Muscarinic RN increase occurs in the whole subthreshold voltage range (−100 to −45 mV), remains in the presence of TTX and Cd2+, and can be blocked by the relatively selective M1,4 muscarinic receptor antagonist pirenzepine but not by M2 or M3 selective antagonists. Cs+ occludes muscarinic effects at potentials more negative than −80 mV. A Na+ reduction in the bath occludes muscarinic effects at potentials more positive than −70 mV. Thus, muscarinic effects involve different ionic conductances: inward rectifying and cationic. The relatively selective M2receptor antagonist AF-DX 116 does not block muscarinic effects on the projection neuron but, surprisingly, has the ability to mimic agonistic actions increasing RN and firing. Both effects are blocked by pirenzepine. HPLC measurements of acetylcholine demonstrate that AF-DX 116 but not pirenzepine greatly increases endogenous acetylcholine release in brain slices. Therefore, the effects of the M2 antagonist on the projection neurons were attributable to autoreceptor block on cholinergic interneurons. These experiments show distinct opposite functions of muscarinic M1- and M2-type receptors in neostriatal output, i.e., the firing of projection neurons. The results suggest that the use of more selective antimuscarinics may be more profitable for the treatment of motor deficits.