Miracle-dz/UniFAR-FTUs huggingface dataset:
The Use of Narrative Therapy and Internal Family Systems with Survivors of Childhood Sexual Abuse

Abstract Historically, accounts of childhood sexual abuse (CSA) have been culturally and professionally dismissed. The emerging trend in society is one that facilitates healthier grieving and the ability to story the losses brought on by trauma. By examining the way in which CSA has been addressed in the past and reviewing the literature on grief and the dynamics of oppression, this paper seeks to address the need to better understand how to engage our clients in the therapeutic experiences of healing and the liberation of their subjugated stories. Informed by Narrative and Internal Family Systems theories, the authors propose unique interventions that better inform clinicians how to assist clients in making a meaning out of their losses related to CSA.
Yeast Lipin 1 Orthologue Pah1p Regulates Vacuole Homeostasis and Membrane Fusion*

Background: Pah1p is a phosphatidic acid phosphatase that generates diacylglycerol. Results: Deletion of PAH1 alters the sorting of fusion factors to the vacuole and inhibits fusion. Conclusion: Conversion of phosphatidic acid to diacylglycerol is integral to vacuole homeostasis. Significance: This is the first report that links a Lipin 1 homologue to the recruitment and activation of a Rab GTPase or the sorting of SNARE proteins. Vacuole homotypic fusion requires a group of regulatory lipids that includes diacylglycerol, a fusogenic lipid that is produced through multiple metabolic pathways including the dephosphorylation of phosphatidic acid (PA). Here we examined the relationship between membrane fusion and PA phosphatase activity. Pah1p is the single yeast homologue of the Lipin family of PA phosphatases. Deletion of PAH1 was sufficient to cause marked vacuole fragmentation and abolish vacuole fusion. The function of Pah1p solely depended on its phosphatase activity as complementation studies showed that wild type Pah1p restored fusion, whereas the phosphatase dead mutant Pah1pD398E had no effect. We discovered that the lack of PA phosphatase activity blocked fusion by inhibiting the binding of SNAREs to Sec18p, an N-ethylmaleimide-sensitive factor homologue responsible for priming inactive cis-SNARE complexes. In addition, pah1Δ vacuoles were devoid of the late endosome/vacuolar Rab Ypt7p, the phosphatidylinositol 3-kinase Vps34p, and Vps39p, a subunit of the HOPS (homotypic fusion and vacuole protein sorting) tethering complex, all of which are required for vacuole fusion. The lack of Vps34p resulted in the absence of phosphatidylinositol 3-phosphate, a lipid required for SNARE activity and vacuole fusion. These findings demonstrate that Pah1p and PA phosphatase activity are critical for vacuole homeostasis and fusion.
Performance analysis framework for large software-intensive systems with a message passing paradigm

The launch of new features for mobile phones is increasing and the product life cycle symmetrically decreasing in duration as higher levels of sophistication are reached. Therefore, the optimization of resources is particularly important in embedded systems where CPU power and memory space are limited. In this context, performance engineers must be able to predict and analyze the performance of the software architecture in order to support its evolution and its new requirements. In this paper I describe a framework for the analysis of the performance of a software architecture where the architectural elements communicate using message based communication services. Using instrumentation traces I have extracted the run-time events I considered significant for the study. I have created a set of architectural views to reconstruct the dynamic and the static views of the architecture. Understanding the connections and the relationships between them guide the performance analyst to a clear comprehension of how the architecture works and subsequently how it can be optimized. The performance analysis framework described constitute an essential set. The next challenge is to enhance the integration of the tools and the synchronization of the views and to facilitate the entry barrier to novice performance engineers.
Examining an eating disorder model with African American women.

In the current study, I examined the general sociocultural model of eating disorders that suggests that sociocultural pressures leads to internalization, which in turn leads to body dissatisfaction and ultimately disordered eating. Because I am testing this model with a sample of African American women, I also am including acculturation as a variable of interest. Specifically, I hypothesized that (a) the experience of more societal pressure to be thin will be related to greater internalization, (b) higher levels of acculturation will be related to greater internalization, (c) internalization of the thin ideal will be directly and positively related to body image concern, and (d) body image concern will be associated with higher levels of disordered eating. It was determined that there is a direct, negative relationship between Level of Identification with Culture of Origin and Internalization. Perceived Pressure was directly and positively related to both Internalization and Body Image Concerns. Body Concerns and Internalization were both directly and positively related to Disordered Eating. These findings suggest that although many of the same constructs related to disordered eating in other ethnic groups are also related to disordered eating among African American women, the relationships between the factors differs across racial/ethnic groups. This information can help clinicians and researchers to better treat and understand the nature of disordered eating behavior and correlates among African American women.
Short-Term Electric Load Forecasting Based on SAPSO-ANN Algorithm

For the economical, secure and stable operation of the electric power system, the short-term load forecasting plays a vital role. The paper applies the SAPSO-ANN model to forecast the short-term electric load. In order to enhance the generality of the model, as well as the capabilities of training and learning in the forecasting, the capability of searching the optimum in the overall situations in the PSO algorithm has been strengthened by using the SA algorithm which has the characteristic of global optimization, and the learning algorithm of a typical three-layer feed-forward neural network BP has been replaced by the mixed PSO algorithm. Taking actual load data of a power grid company in South China as a sample, the PSO-ANN model has been compared to the traditional model. The results show that this model has better capability of forecasting and network learning
Oxygen-rich disk in the V778 Cygni system resolved

Aims. Various scenarios have been proposed to explain the presence of silicate features associated with carbon stars, such as V778 Cyg. We have attempted to constrain these theories by means of mapping water maser emission from V778 Cyg. Methods. The 22 GHz water maser emission from this star has been mapped using MERLIN with an astrometric accuracy of 25 mas. Results. The spatially- and kinematically-resolved maser complex is displaced by ∼190 mas from the position of the C-star as measured 10 years earlier using Tycho. Our simulations and analysis of available data show that this position difference is unlikely to be due to proper motion if V778 Cyg is at the assumed distance of 1.4 kpc. The maser components seem to form a distorted S-shaped structure extended over ∼ 18 mas with a clear velocity gradient. We propose a model which explains the observed water maser structure as an 0-rich warped disk around a companion of the C-star in V 778 Cyg binary system, which is seen almost edge-on. Conclusions. Analysis of observational data, especially those obtained with MERLIN, suggests that V778 Cyg (and, by implication, other silicate carbon stars) are binary systems composed of a C-rich star and a companion which stores circumstellar 0-rich material.
Factors Influencing E-Commerce Growth: A Comparative Study of Central Asian Transition Economies

This paper presents an inter-country comparative analysis of key inhibitors and enablers affecting the diffusion of e-commerce across transition economies of Central Asia. It reveals that the combined effect of dissimilar economic, political, and technical impediments is a major underlying motive for differing e-commerce adoption patterns across these transition countries. This paper contributes to a better understanding of the issues affecting e-commerce diffusion and their implications for successful e-commerce implementation in countries undergoing the difficult process of transition to a market economy.
Effects of TNF-α on Leukocyte Adhesion Molecule Expressions in Cultured Human Lymphatic Endothelium

TNF-α alters leukocyte adhesion molecule expression of cultured endothelial cells like human umbilical vein endothelial cells (HUVEC). This study was designed to investigate the changes in vascular cell adhesion molecule-1 (VCAM-1), intercellular adhesion molecule-1 (ICAM-1), and platelet endothelial cell adhesion molecule-1 (PECAM-1) expression with TNF-α stimulation in cultured human neonatal dermal lymphatic endothelial cells (HNDLEC). The real-time quantitative PCR analysis on HNDLEC showed that TNF-α treatment leads to increases of VCAM-1 and ICAM-1 mRNAs to the 10.8- and 48.2-fold levels of untreated cells and leads to a reduction of PECAM-1 mRNA to the 0.42-fold level of untreated cells. Western blot and immunohistochemical analysis showed that TNF-α leads to VCAM-1 and ICAM-1 expressions that were inhibited by antiserum to human TNF receptor or by AP-1 inhibitor nobiletin. In flow cytometry analysis, the number of VCAM-1- and ICAM-1-positive cells increased, and PECAM-1-positive cells decreased with TNF-α treatment. Regarding protein amounts produced in cells and amounts expressed on the cell surface, VCAM-1 and ICAM-1 increased in HNDLEC and HUVEC, and PECAM-1 decreased in HNDLEC in a TNF-α concentration-dependent manner. VCAM-1, ICAM-1, and PECAM-1 protein amounts in TNF-α-stimulated cells were lower in HNDLEC than in HUVEC. This suggests that the lymphatic endothelium has the TNF-α-induced signaling pathway, resulting in increased VCAM-1 and ICAM-1 expression to a weaker extent than blood endothelium and PECAM-1 reduction to a stronger extent than blood endothelium.
Extending SQL for Decision Support Applications

The challenge of extending database systems for decision support applications has been thetopic of much recent research—a very incomplete list of previous work includes [11, 8, 12, 4,10, 5]. Yet, there is no generally accepted solution for the problem, which remains a criticalone, since the inability of current DBMSs to support data mining applications is well-testedand clearly documented [12]. Our research approach in addressing this diﬃcult problem is motivated by the observa-tion that aggregate functions provide the linchpin for most decision support computations;moreover inductive discovery from large data sets can be viewed as the process of aggregat-ing low level data into statistical summaries of semantic signiﬁcance. Therefore, the ATLaSsystem designed at UCLA [2] allows end-users to deﬁne new powerful aggregate functionsby writing them in SQL. The same mechanism can be used to deﬁne new table functionsin ATLaS, whose name stands for Aggregate & Table Language and System. ATLaS is thesuccessor of the AXL system described in [15]. These SQL-based native extension mechanisms turn ATLaS into a powerful and ﬂexiblesystem for advanced data-intensive applications, including applications from many domainsthat are not supported well by current Object-Relational database systems, which stillsuﬀer from limited extensibility. In fact, the only extensibility mechanism now providedby Object-Relational systems relies on nonnative datablades—i.e., on external functionsdeﬁned in a procedural language and imported into SQL.ATLaS is very eﬀective at expressing decision support tasks: we demonstrate this prop-erty by the eﬃcient implementation of several functions, such as rollups, datacubes, clas-siﬁers, and frequent item sets for association rules [2]. The performance of these functionsexpressed in ATLaS is typically within 30% of the performance of the same algorithmscoded in C/C++. To achieve this level of performance, ATLaS supports various optimiza-tion techniques, and the ability of manipulating in-memory tables in SQL. In fact, attributesof reference type in such tables allow the eﬃcient support of data structures, such as tries,that are instrumental in implementing data mining algorithms, such as Apriori [1, 7]. The stream-oriented computation model used by ATLaS contrasts with the computa-tion model based on ‘blocking’ semantics that is normally used for aggregates in currentdatabase systems. Thus, online aggregates [9], time-series queries [13], sliding-window ag-gregates, approximate aggregates, and continuous queries [3] are naturally supported inATLaS. Furthermore, important properties of an ATLaS program, such as blocking behav-ior and monotonicity, can be easily inferred from the syntactic structure of the program [14].
Adenovirus-Mediated Transfer of a Truncated Fibroblast Growth Factor (FGF) Type I Receptor Blocks FGF-2 Signaling in Multiple Pancreatic Cancer Cell Lines

Pancreatic ductal adenocarcinomas (PDACs) overexpress several members of the fibroblast growth factor (FGF) family of ligands and the type I FGF receptor (FGFR-1), and enhanced FGF-2 protein levels correlate with shorter postoperative survival of patients with PDAC. In this study, we investigated the effects of FGF-2 on cell proliferation and mitogen-activated protein kinase (MAPK) activation before and after abrogation of FGFR-1–dependent signaling in 4 pancreatic cancer cell lines (ASPC-1, COLO-357, MIA-PaCa-2, and PANC-1). Signaling was blocked by infecting the cells with an adenoviral vector encoding for a truncated FGFR-1 (AdtrFGFR-1). FGF-2 enhanced the growth of all 4 cell lines and activated MAPK in 3 of these cell lines. Infection with the AdtrFGFR-1 virus resulted in abundant expression of the truncated FGFR-1 at the RNA and protein level, markedly attenuated FGF-2–induced proliferation in all 4 tested cell lines, and decreased FGF-2–dependent MAPK activation in the 3 cell lines in which FGF-2 activated this pathway. These findings suggest that FGFR-1–mediated mitogenesis in multiple pancreatic cancer cells can be efficiently blocked with an adenoviral vector encoding a truncated FGFR-1, raising the possibility that AdtrFGFR-1 may ultimately have a therapeutic role in PDAC.
Impact of Janani Suraksha Yojana on Institutional Delivery Rate and Maternal Morbidity and Mortality: An Observational Study in India

The Government of India initiated a cash incentive scheme—Janani Suraksha Yojana (JSY)—to promote institutional deliveries with an aim to reduce maternal mortality ratio (MMR). An observational study was conducted in a tertiary-care hospital of Madhya Pradesh, India, before and after implementation of JSY, with a sample of women presenting for institutional delivery. The objectives of this study were to: (i) determine the total number of institutional deliveries before and after implementation of JSY, (ii) determine the MMR, and (iii) compare factors associated with maternal mortality and morbidity. The data were analyzed for two years before implementation of JSY (2003-2005) and compared with two years following implementation of JSY (2005-2007). Overall, institutional deliveries increased by 42.6% after implementation, including those among rural, illiterate and primary-literate persons of lower socioeconomic strata. The main causes of maternal mortality were eclampsia, pre-eclampsia and severe anaemia both before and after implementation of JSY. Anaemia was the most common morbidity factor observed in this study. Among those who had institutional deliveries, there were significant increases in cases of eclampsia, pre-eclampsia, polyhydramnios, oligohydramnios, antepartum haemorrhage (APH), postpartum haemorrhage (PPH), and malaria after implementation of JSY. The scheme appeared to increase institutional delivery by at-risk mothers, which has the potential to reduce maternal morbidity and mortality, improve child survival, and ensure equity in maternal healthcare in India. The lessons from this study and other available sources should be utilized to improve the performance and implementation of JSY scheme in India.
CIFE CENTER FOR INTEGRATED FACILITY ENGINEERING Integrated & Automated Project Processes in Civil Engineering : Experiences of the Center for Integrated Facility Engineering at Stanford University By

“It has often been said that a person really doesn’t understand something until he teaches it to someone else. Actually a person doesn’t really understand something until he can teach it to a computer, i. e. , express it as an algorithm. the attempt to formalize things as algorithms leads to a much deeper understanding than if we simply try to understand things in the traditional way” [Knuth 73] This paper summarizes some of the highlights of CIFE research since 1989 and summarizes some of our findings. We describe a case example of an integrated model of a project, including the product, a construction process, and the design-construction organization. Traditionally, concurrent engineering has focused on eliminating “over-the-wall” rework through integrated design of product and process. We have extended this focus by including the manufacturing facility, the project delivery process and the managing organization in the scope of concurrent engineering. We integrate the product-process model as a "4D" model, including x-y-z and time. Product, process and organization simulation models provide decision support from a broad perspective. The process and organization models together describe the activities to design and construct the product and the groups that do the work. The results of our research suggest a number of open research questions that we introduce in the case example: how to represent models of facilities, processes and organizations so they can be both analyzed by the computer and viewed by stakeholders at multiple levels of detail; how to do automated interpretation of those multilevel models to support knowledge-intensive engineering activities; how to achieve interoperability among different software applications that typically are distributed; how to include all relevant project stakeholders in design review, analysis and development; and finally the grand question: Considering all the things that can (and cannot) be done with research today, which have the biggest potential impact on project cost, duration, quality and safety?
Corporate Venture Capital als Beitrag zum Wissensmanagement: Eine vergleichende Langzeitstudie in Deutschland

Das vorliegende Papier ist mit seiner Vollerhebung des deutschen Corporate Venture Capital- Marktes als eine Art Industrie- oder Branchenreport der CVC-Branche in Deutschland zu betrachten. Sein Ziel ist, einen Uberblick uber den deutschen CVC-Markt in 2003 zu geben sowie dessen Veranderungen uber die Zeit zu beschreiben. Auf Basis zweier Datensatze von 2000/2001 und 2003/2004 wird anhand ausgesuchter Dimensionen - Zielsetzungen und deren Erreichungsgrad, strategische Aufhangung, Fondsstruktur, Entscheidungskompetenzen, Vergutungs- und Anreizstrukturen sowie Kriterien und Prioritaten im Investitionsprozess - der Aspekt der Veranderung bzw. des Wandels dieser Branche nach dem New Economy Einbruch und dem Schliesen des Neuen Marktes besonders hervorgehoben. In den Ergebnissen wird deutlich, dass sich die Branche und ihre Teilnehmer in einigen Bereichen stark verandert haben, dass sie gelernt haben. Insbesondere die Ziele, die sie mit ihrem CVC-Programm verfolgen, haben sich die CVCs seit 2000/2001 deutlich den neuen, verschlechterten Rahmenbedingungen angepasst.
Dynamic logging with Dylog for networked embedded systems

We present Dylog, a dynamic logging facility for networked embedded systems. Dylog employs several techniques to enable lightweight and interactive logging. First, Dylog uses binary instrumentation for dynamically inserting or removing logging statements, enabling interactive debugging at the runtime. Second, Dylog incorporates an efficient storage system and log collection protocol for recording and transferring the logging messages. In particular, Dylog significantly reduces the communication cost by storing string identifiers and restoring them back to corresponding strings at the PC. Third, Dylog employs MAC layer timestamping and a linear clock model for reconstructing the synchronized time of the logging messages with a very high precision. We implement and evaluate Dylog on TinyOS 2.1. 1/TelosB. Results show that Dylog incurs a reasonable overhead. Dylog can help gain great visibility into the system behaviors, and diagnose performance issues at the source code level.
HISTORICAL ISOLATION, RANGE EXPANSION, AND SECONDARY CONTACT OF TWO HIGHLY DIVERGENT MITOCHONDRIAL LINEAGES IN SPOTTED SALAMANDERS (AMBYSTOMA MACULATUM)

Abstract The high species diversity of aquatic and terrestrial faunas in eastern North America has been attributed to range reductions and allopatric diversification resulting from historical climate change. The role these processes may have played in speciation is still a matter of considerable debate; however, their impacts on intraspecific genetic structure have been well documented. We use mitochondrial DNA sequences to reconstruct an intraspecific phylogeny of the widespread North American spotted salamander, Ambystoma maculatum, and test whether phylogenetic patterns conform to regional biogeographical hypotheses about the origins of diversity in eastern North America. Specifically, we address the number and locations of historical refugia, the extent and patterns of postglacial colonization by divergent lineages, and the origin and affinities of populations in the Interior Highland region. Despite apparent morphological uniformity, genetic discontinuities throughout the range of this species suggest that populations were historically fragmented in at least two refugia in the southern Appalachian Mountains. The ranges of these two highly divergent clades expanded northward, resulting in two widely distributed lineages that are sympatric in regions previously proposed as suture zones for other taxa. The evolutionary history of spotted salamander populations underscores the generality of biogeographical processes in eastern North America: despite differences in population size, glacial refugia, and vagility, similar signatures of differentiation are evident among and within widespread taxa.