Miracle-dz/UniFAR-FTUs huggingface dataset:
An Investigation of Trauma Symptom Reduction in a Clinical Sample of Sexually Abused Children Using the Trauma Symptom Checklist for Children

AN INVESTIGATION OF TRAUMA SYMPTOM REDUCTION IN A CLINICAL SAMPLE OF SEXUALLY ABUSED CHILDREN USING THE TRAUMA SYMPTOM CHECKLIST FOR CHILDREN by Sarah D. Brown School counselors have a duty to formulate strategies that aid in the detection and prevention of child sexual abuse (ASCA, 2003). This may be accomplished in a number of ways, such as designing programs, providing training to teachers regarding recognizing and reporting abuse indicators, and collaborating with child protection and other mental health professionals to provide additional aftercare for sexually abused children in the school setting. Much can be learned about trauma symptomology from a clinical sample of sexually abused children. The Trauma Symptom Checklist for Children (TSCC; Briere, 1996) is a 54-item self-report instrument for children and adolescents 8-16 years of age which assesses the frequency of thoughts, feelings, and behaviors related to traumatic events they have experienced. To understand better the trauma symptomology of children and adolescents, the author analyzed an existing data set of TSCC protocols from children who received treatment for sexual abuse from a children’s advocacy center in a metropolitan area near a large city in the southeastern United States. Although a large number of potential participants were lost to follow up (N = 54), T analyses revealed significant differences between the groups only on the length of time in therapy. A repeated measures analysis of variance was performed on data from children and adolescents who completed therapy (N = 31) to test whether differences on Depression and Posttraumatic Stress scale scores would exist across the course of therapy. Although no statistically significant findings emerged, implications for clinical practice and research became apparent. Specifically, differences in cutoff T-scores on TSCC scales may be more useful to clinicians for treatment and termination planning purposes than statistically significant differences. In addition, assessing clients at intervals measured by session number, rather than by length of time, may provide more generalizable results for withinand between-participants clinical and research comparisons. These implications may aid clinical and school counselors and researchers to recognize and serve the specific needs of sexually abused children in their respective settings. AN INVESTIGATION OF TRAUMA SYMPTOM REDUCTION IN A CLINICAL SAMPLE OF SEXUALLY ABUSED CHILDREN USING THE TRAUMA SYMPTOM CHECKLIST FOR CHILDREN by Sarah D. Brown
GABA Regulates Excitatory Synapse Formation in the Neocortex via NMDA Receptor Activation

The development of a balance between excitatory and inhibitory synapses is a critical process in the generation and maturation of functional circuits. Accumulating evidence suggests that neuronal activity plays an important role in achieving such a balance in the developing cortex, but the mechanism that regulates this process is unknown. During development, GABA, the primary inhibitory neurotransmitter in adults, excites neurons as a result of high expression of the Na+-K+-2Cl− cotransporter (NKCC1). Using NKCC1 RNA interference knockdown in vivo, we show that GABA-induced depolarization is necessary for proper excitatory synapse formation and dendritic development of newborn cortical neurons. Blocking NKCC1 with the diuretic bumetanide during development leads to similar persistent changes in cortical circuitry in the adult. Interestingly, expression of a voltage-independent NMDA receptor rescues the failure of NKCC1 knockdown neurons to develop excitatory AMPA transmission, indicating that GABA depolarization cooperates with NMDA receptor activation to regulate excitatory synapse formation. Our study identifies an essential role for GABA in the synaptic integration of newborn cortical neurons and suggests an activity-dependent mechanism for achieving the balance between excitation and inhibition in the developing cortex.
The economic value of bilingualism in the United States

ABSTRACT Given that bilingual education has been under assault for most of its modern existence in the United States, many bilingual educators have acquiesced to transitional bilingual education: the use of the primary language only until English is firmly established. While this placated some critics, the research now demonstrates that this is not in the best interest of the students. Although past research has found no real economic benefit for bilinguals in the U.S. labor market, the new research reviewed here comes to the opposite conclusion: Full literacy in another language brings substantial economic benefit. Moreover, the failure to nurture these linguistic skills in the children of immigrants exacts a cost to the earnings of these potentially bilingual/biliterate students.
Deep Convolutional Matching

We propose a new matching algorithm, called DeepMatching, to compute dense correspondences between images. DeepMatching relies on a deep, multi-layer, convolutional architecture designed for matching images. The proposed matching algorithm can handle non-rigid deformations and repetitive textures, and can therefore efficiently determine dense correspondences in the presence of significant changes between images. We evaluate the performance of DeepMatching, in comparison with state-of-the-art matching algorithms, on resp. the Mikolajczyk, the MPI-Sintel and the Kitti datasets. The performance measure is "Accuracy@T" , that is the percentage of correct pixels for a specified error threshold of T pixels. Deep-Matching outperforms the state-of-the-art algorithms in terms of accuracy@T and shows excellent results in particular for repetitive textures. We also propose a method for estimating optical flow, called DeepFlow, by integrating a DeepMatching term in a variational energy minimization approach. Robustness to large displacements is obtained due to this matching term. DeepFlow obtains competitive performance on public benchmarks for optical flow estimation. In particular, DeepFlow obtains state-of-the-art results on the MPI-Sintel dataset.
Understanding race and educational leadership in higher education

The dearth of representation regarding Black and Ethnic Minorities (BME) in senior educational leadership roles within higher education (HE) has become a salient issue as egalitarian notions associated with equality and diversity continue to be contradicted by university institutions, despite increased calls for greater diversification. Educational leadership in higher education within the United Kingdom (UK), particularly when aligned to the primacy of race, remains oblivious to some of the organizational barriers encountered by BME academics attempting to navigate a career trajectory towards senior leadership. The diversification of senior leaders within the Academy in the UK has increasingly become an issue that, although prevalent, has stagnated owing to the lack of visible BME senior leaders and penetrative change to address the disparity regarding recruitment and promotion of more BME academics to leadership hierarchies. This article draws on a collective biography methodology, which will utilize narratives from three BME academics in senior leadership positions within higher education in the UK, in an attempt to illuminate the challenges that saturate the Academy, concerning leadership opportunities and career pathways for BME academics. The issues drawn upon identify synergies between constructions of race and leadership, whilst considering the interplay between these two vehicles when situated within a higher education context.
The Giant Lavas of Kalkarindji : rubbly phoehoe lava in an ancient continental flood basalt province Journal Item

The Kalkarindji continental flood basalt province of northern Australia erupted in the mid Cambrian (c. 511 505 Ma). It now consists of scattered basaltic lava fields, the most extensive being the Antrim Plateau Volcanics (APV) a semi-continuous outcrop (c. 50,000 km) reaching a maximum thickness of 1.1 km. Cropping out predominately in the SW of the APV, close to the top of the basalt succession, lies the Blackfella Rockhole Member (BRM). Originally described as ‘basaltic agglomerate’ the BRM has, in recent years, been assumed to be explosive tephra of phreatomagmatic origin, thus providing a potent vehicle for volatile release to the upper atmosphere. Our detailed field investigations reveal that this basaltic agglomerate is, in reality, giant rubble collections (15 20 m thick) forming the upper crusts of rubbly pāhoehoe lava units 25 40 m thick; covering 18,000 72,000 km and an estimated volume of 1,500 19,200 km. These flows, rheologically but not chemically, distinct from the majority of Kalkarindji lavas, indicate a fundamental change in eruption dynamics. A low volatile content, induced high amounts of pre-eruptive degassing causing super-cooling and an increase in crystal nucleation and viscosity. A more viscous lava and a consistently faster rate of effusion (analogous to that of Laki, Iceland) created the flow dynamics necessary to disturb the lava crust to the extent seen in the BRM. Volatile release is estimated at 1.65 × 10 2.11 × 10 Tg total CO2 at a rate of 867 Tg a and 9.07 × 10 1.16 × 10 Tg SO2 at 476.50 Tg a. These masses accounted for 0.5% of Cambrian atmospheric conditions whilst limiting factors reduced the effect of volatile delivery to the atmosphere, thus any potential global impact caused by these flows alone was minimal.
Disaster risk reduction: Psychological perspectives on preparedness

Facilitating people's ability to anticipate, prepare for and recover from disaster is an important component of the UNISDR strategy for disaster risk reduction. Following a discussion of the functional characteristics of preparedness, this paper first discusses how hazard characteristics and psychological constructs influence people's ability to anticipate uncertain future events. It then reviews how psychological theories (Health Belief Model, Protection Motivation Theory, PrE Theory, Theory of Planned Behaviour, Critical Awareness Theory, Social Marketing, Protective Action Decision Model, Social Capital, Community Engagement Theory and Social Identity Theory) can inform understanding of preparedness for likely and current hazard events. Discussion then then turns to applying concepts and theories to understanding preparedness for current disasters. The all‐hazards and cross‐cultural applicability of preparedness theory is discussed, as are a need for a critical appraisal of preparedness, its predictors, and the nature and development of the preparedness process and its application in facilitating effective intervention strategies.
ISK P REMIA AND L ONG R ATES IN I RELAND

Using a number of long-term maturities and monthly data, 1989-1997, we provide a number of tests of the expectations hypothesis (EH) of the term structure. The main insight in this paper is the use of the excess holding period return to provide a proxy for a possible time varying term premium. Nearly all previous studies using the VAR methodology have used only the spread and the change in (short) rates and they have ignored the excess holding period return. Our results are consistent with recent evidence for the UK (Cuthbertson and Nitzsche, 1998), in that we cannot reject the EH. However we do reject the presence of a time varying risk premia.
Bach Speaks: A Cortical “Language-Network” Serves the Processing of Music

The aim of the present study was the investigation of neural correlates of music processing with fMRI. Chord sequences were presented to the participants, infrequently containing unexpected musical events. These events activated the areas of Broca and Wernicke, the superior temporal sulcus, Heschl's gyrus, both planum polare and planum temporale, as well as the anterior superior insular cortices. Some of these brain structures have previously been shown to be involved in music processing, but the cortical network comprising all these structures has up to now been thought to be domain-specific for language processing. To what extent this network might also be activated by the processing of non-linguistic information has remained unknown. The present fMRI-data reveal that the human brain employs this neuronal network also for the processing of musical information, suggesting that the cortical network known to support language processing is less domain-specific than previously believed.
Fixed-Point Algorithms for the Blind Separation of Arbitrary Complex-Valued Non-Gaussian Signal Mixtures

We derive new fixed-point algorithms for the blind separation of complex-valued mixtures of independent, noncircularly symmetric, and non-Gaussian source signals. Leveraging recently developed results on the separability of complex-valued signal mixtures, we systematically construct iterative procedures on a kurtosis-based contrast whose evolutionary characteristics are identical to those of the FastICA algorithm of Hyvarinen and Oja in the real-valued mixture case. Thus, our methods inherit the fast convergence properties, computational simplicity, and ease of use of the FastICA algorithm while at the same time extending this class of techniques to complex signal mixtures. For extracting multiple sources, symmetric and asymmetric signal deflation procedures can be employed. Simulations for both noiseless and noisy mixtures indicate that the proposed algorithms have superior finite-sample performance in data-starved scenarios as compared to existing complex ICA methods while performing about as well as the best of these techniques for larger data-record lengths.
Changing Trends in the Prevalence of Shigella Species: Emergence of Multi-Drug Resistant Shigella sonnei Biotype g in Bangladesh

Shigellosis, caused by Shigella species, is a major public health problem in Bangladesh. To determine the prevalence and distribution of different Shigella species, we analyzed 10,827 Shigella isolates from patients between 2001 and 2011. S. flexneri was the predominant species isolated throughout the period. However, the prevalence of S. flexneri decreased from 65.7% in 2001 to 47% in 2011, whereas the prevalence of S. sonnei increased from 7.2% in 2001 to 25% in 2011. S. boydii and S. dysenteriae accounted for 17.3% and 7.7% of the isolates respectively throughout the period. Of 200 randomly selected S. sonnei isolates for extensive characterization, biotype g strains were predominant (95%) followed by biotype a (5%). Resistance to commonly used antibiotics including trimethoprim-sulfamethoxazole, nalidixic acid, ciprofloxacin, mecillinam and ampicillin was 89.5%, 86.5%, 17%, 10.5%, and 9.5%, respectively. All isolates were susceptible to ceftriaxone, cefotaxime, ceftazidime and imipenem. Ninety-eight percent of the strains had integrons belonging to class 1, 2 or both. The class 1 integron contained only dfrA5 gene, whereas among class 2 integron, 16% contained dhfrAI-sat1-aadA1-orfX gene cassettes and 84% harbored dhfrA1-sat2 gene cassettes. Plasmids of ∼5, ∼1.8 and ∼1.4 MDa in size were found in 92% of the strains, whereas only 33% of the strains carried the 120 MDa plasmid. PFGE analysis showed that strains having different integron patterns belonged to different clusters. These results show a changing trend in the prevalence of Shigella species with the emergence of multidrug resistant S. sonnei. Although S. flexneri continues to be the predominant species albeit with reduced prevalence, S. sonnei has emerged as the second most prevalent species replacing the earlier dominance by S. boydii and S. dysenteriae in Bangladesh.
Enhancement of Dopaminergic Differentiation in Proliferating Midbrain Neuroblasts by Sonic Hedgehog and Ascorbic Acid

We analyzed the molecular mechanisms involved in the acquisition and maturation of dopaminergic (DA) neurons generated in vitro from rat ventral mesencephalon (MES) cells in the presence of mitogens or specific signaling molecules. The addition of basic fibroblast growth factor (bFGF) to MES cells in serum-free medium stimulates the proliferation of neuroblasts but delays DA differentiation. Recombinant Sonic hedgehog (SHH) protein increases up to three fold the number of tyrosine hydroxylase (TH)-positive cells and their differentiation, an effect abolished by anti-SHH antibodies. The expanded cultures are rich in nestin-positive neurons, glial cells are rare, all TH+ neurons are DA, and all DA and GABAergic markers analyzed are expressed. Adding ascorbic acid to bFGF/SHH-treated cultures resulted in a further five- to seven-fold enhancement of viable DA neurons. This experimental system also provides a powerful tool to generate DA neurons from single embryos. Our strategy provides an enriched source of MES DA neurons that are useful for analyzing molecular mechanisms controlling their function and for experimental regenerative approaches in DA dysfunction.
GCOE Discussion Paper Series Global COE Program Human Behavior and Socioeconomic Dynamics

This paper investigates whether managerial entrenchment of controlling shareholders affects the distribution of bankers to the boards of Japanese manufacturing firms. Bankers are not likely to be appointed to firms with large corporate shareholders as controlling shareholders because large corporate shareholders have incentives to entrench managers. Moreover, in the aftermath of executive appointments of banks and large corporate shareholders, restructuring and improved performances of the appointing firms are facilitated. The results suggest that managerial entrenchment of large corporate shareholders generates the substitution of role of corporate governance between banks and large corporate shareholders. JEL classification: D23; G21; G32
Benchmarking the dependability of different OLTP systems

On-Line Transaction Processing (OLTP) systems constitute the kernel of the information systems used today to support the daily operations of most organizations. Although these systems comprise the best examples of complex business-critical systems, no practical way has been proposed so far to characterize the impact of faults in such systems or to compare alternative solutions concerning dependability features. This paper presents a practical example of benchmarking key dependability features of four different transactional systems using a first proposal of dependability benchmark for OLTP application environments. This dependability benchmark is an extension to the TPC-C standard performance benchmark, and specifies the measures and all the steps required to evaluate both the performance and dependability features of OLTP systems. Two different versions of the Oracle transactional engine running over two different operating systems were evaluated and compared. The results show that dependability benchmarking can be successfully applied to OLTP application environments.
Trade Patterns and Non-Scale Growth between Two Countries

This paper builds a two-country, two-sector (manufacturing and agriculture), non-scale growth model and investigates the relationship between trade patterns and the growth rate of per capita real consumption. If the population growth rate of the home country is higher than that of the foreign country, the following results are obtained. (1) Under autarky, the growth rate of per capita real consumption is higher in the home country than in the foreign country. (2) Under free trade, if the home country completely specializes in manufacturing and the foreign country asymptotically completely specializes in agriculture, then the growth rate of the foreign country is higher than that of the home country, though this trade pattern is not sustainable in the long run. (3) Under free trade, if the home country produces both goods and the foreign country asymptotically completely specializes in agriculture, then the growth rates of the home country and the foreign country are equal, and this trade pattern is sustainable in the long run.
Concluding Commentary: Schadenfreude, Gluckschmerz, Jealousy, and Hate—What (and When, and Why) Are the Emotions?

Schadenfreude, gluckschmerz, jealousy, and hate are distinctive emotional phenomena, understudied and deserving of increased attention. The authors of this special section have admirably synthesized large literatures, describing major characteristics, eliciting conditions, and functions (Chung & Harris, 2018; Fischer, Halperin, Canetti, & Jasini, 2018; R. H. Smith & van Dijk, 2018). We discuss the contributions of each article as well as the issues they raise for theories of emotions and some remaining questions, and suggest ways in which these might be profitably addressed.
Prepregnancy Obesity and Associations With Stroke and Myocardial Infarction in Women in the Years After Childbirth: A Nationwide Cohort Study

Background— Cardiovascular events (stroke or myocardial infarction) are often associated with poorer prognosis in younger, compared with older individuals. We examined the associations between prepregnancy obesity and the risks of myocardial infarction and stroke in young, healthy women. Methods and Results— All Danish women giving birth during 2004–2009 without a history of renal disease or cardiovascular disease were identified from national registers and followed for a median time of 4.5 years (interquartile range, 2.8–5.8). They were grouped according to prepregnancy body mass index (BMI) in underweight (BMI<18.5 kg/m2), normal weight (BMI=18.5–<25 kg/m2), overweight (BMI=25–<30 kg/m2), and obese (BMI≥30 kg/m2). The hazard ratios of myocardial infarction, ischemic stroke, and a composite outcome (myocardial infarction, stroke, cardiovascular death) were assessed using multivariable Cox regression models. We included 273 101 women with a median age of 30.4 years (interquartile range, 27.2–33.8). A total of 68 women experienced a myocardial infarction, and 175 women experienced an ischemic stroke. The adjusted hazard ratios of myocardial infarction compared with normal weight were 2.50 (95% confidence interval [95% CI], 0.97–6.50) in underweight, 1.68 (95% CI, 0.92–3.06) in overweight, and 2.63 (95% CI, 1.41–4.91) in obese women. For ischemic stroke the adjusted hazard ratios were 1.06 (95% CI, 0.44–2.28) in underweight, 1.27 (95% CI, 0.87–1.85) in overweight, and 1.89 (95% CI, 1.25–2.84) in obese women, respectively. For the composite outcome, hazard ratios were 1.34 (95% CI, 0.81–2.20), 1.43 (95% CI, 1.11–1.84), and 1.76 (95% CI, 1.31–2.34) for underweight, overweight, and obese women. Conclusions— In apparently healthy women of fertile age, prepregnancy obesity was associated with increased risks of ischemic stroke and myocardial infarction in the years after childbirth.