Miracle-dz/UniFAR-FTUs huggingface dataset:
Culture & Identity: Life Stories for Counselors and Therapists

Preface 1. Framework Human Development Development of the Self Contextual Dimensions of the Self Shifting Selves SECTION I: RACE/ETHNICITY 2. Julie's Story: So What if I'm a Black Woman? Julie's Story Content Themes Clinical Applications Toolbox Activity--Julie 3. Butch's Story: Who Am I? Butch's Story Content Themes Clinical Applications Toolbox Activity--Butch 4. Beth's Story: I Am 100% Jewish Beth's Story Content Themes Clinical Applications Toolbox Activity--Beth 5. Maribel's Story: When Are You Going to Have Kids? Maribel's Story Content Themes Clinical Applications Toolbox Activity--Maribel SECTION II: IMMIGRATION/ACCULTURATION 6. Vu's Story: I Am an American Vu's Story Content Themes Clinical Applications Toolbox Activity--Vu 7. Esteban's Story: Still Uprooted Esteban's Story Content Themes Clinical Applications Toolbox Activity--Esteban 8. Maria Luz's Story: Here We Are Not Free Maria Luz's Story Content Themes Clinical Applications Toolbox Activity--Maria Luz 9. Teresa's Story: I Didn't Want to Go to Church on Sunday Teresa's Story Content Themes Clinical Applications Toolbox Activity--Teresa SECTION III: RELIGION 10. Frank's Story: Hearing God's Voice Frank's Story Content Themes Clinical Applications Toolbox Activity--Frank 11. Bob's Story: The Good Christian Son Bob's Story Content Themes Clinical Applications Toolbox Activity--Bob 12. Katie's Story: Catholic and Jewish: How Can It Be? Katie's Story Content Themes Clinical Applications Toolbox Activity--Katie SECTION IV: SOCIAL CLASS 13. Carla's Story: One More Mile Carla's Story Content Themes Clinical Applications Countertransference Toolbox Activity--Carla 14. Anthony's Story: From Radical to Bohemian to Suit to Me Anthony's Story Content Themes Clinical Applications Toolbox Activity--Anthony Appendix References Index About the Authors
The Glucose Control Resistance Scale

Objective: While past research found family conflict, disordered eating, body image concerns and anxious self-doubts may affect adolescent diabetic glucose control, available measures of adherence mainly focus on management tasks. The current study aimed to combine measures of emotional distress and beliefs with decisions concerning management in a new measure of resistance to treatment adherence: the 12-item Glucose Control Resistance Scale (GCRS). Methods: Participants included 135 adolescents and their parents from a pediatric diabetes clinic. Family conflict, body image concerns, anxious self-doubts and glucose control resistance were assessed. Results: Factor analysis identified 12 items, with loadings of ≥0.40, which were used to form the GCRS. The scale had adequate reliability and there was a significant correlation between child and parent GCRS scores. One factor, family conflict, was significantly related to hemoglobin A1c (HbA1c) levels, but a set of four factors explained a total of 12% of the variance in HbA1c levels. Of the demographic variables considered (gender, number of parents at home, age, body mass index z-score), only gender was significantly associated with adolescent perceptions of family conflict. Conclusion: The GCRS may allow diabetic care teams to better understand the origin of family conflict perceptions and the motivational beliefs that modify behavior and contribute to independent self-management and glucose control. Each question was designed to be meaningful in interventions by addressing common items of resistance to adherence and impulsive management decisions. The GCRS may be used by providers as an initial short screening survey on an annual or semi-annual basis.
Effects on thrombocytic hemostasis of a new derivate indolinone

Objective. Specific activity of an antiplatelet drug of indolinone series (codenamed DI) was studied in vitro in a model of ADP-induced platelet aggregation in vitro and in vivo in a model of streptozotocininduced diabetes mellitus in rats. Material and Methods. Acetylsalicylic acid and dipyridamole were used as reference drugs. In vitro tests have demonstrated that DI exhibits antiplatelet activity in a wide range of concentrations (0,75×10-6 – 1.5×10-5 М, р<0,05), being comparable to acetylsalicylic acid and dipyridamole. In vivo tests have demonstrated dose-dependent antiplatelet activity of DI in doses of 2,5 – 20 mg/kg (21-14 %). Results and Discussion.Increasing the dose of DI above 10 mg/kg doesn’t increase its antiplatelet activity. After multiple oral administration to rats with streptozotocin-induced diabetes mellitus in 10 mg/kg dose, DI has exhibited antiplatelet activity, reducing the platelet aggregation rate to that of the control group (р<0,05). Conclusion. Thus, DI isapromisingcompound for furtherdevelopmentof an antiplatelet drug with new mechanism of action Bangladesh Journal of Medical Science Vol.18(3) 2019 p.574-576
Effect of Cognitive Behavioral Intervention Therapy on Immune Index in Patients with Breast Cancer

Objective: To explore the effect of cognitive behavioral intervention therapy on the cellular immune function of patients undergoing radical mastectomy for the first time, and to provide a scientific basis for improving the treatment of breast cancer patients. Methods: 100 patients with breast cancer who were eligible for admission to the Department of Breast Surgery, Hainan Provincial People’s Hospital from January 2016 to December 2017 were selected as subjects. It is the first time to improve the radical mastectomy. They were randomly divided into control group and intervention group, 50 cases each. The control group used conventional treatment and routine care. On the basis of this, the intervention group conducted cognitive behavioral interventions including cognitive reconstruction and behavioral therapy. The patients were measured for serum IL-2, IL-4, IL-6, IL-8 and TNF-α levels on the second day after admission and three months after discharge. The changes of serum IL-2, IL-4, IL-6, IL-8 and TNF-α levels in the two groups were compared before and after cognitive intervention. Results: The concentrations of IL-2, IL-4, IL-6, IL-8 and TNF-α in the serum of the intervention group and the control group before intervention were compared. The difference was not statistically significant (P > 0.05). After the intervention, the serum levels of IL-2, IL-4 and IL-8 in the intervention group were lower than before the intervention. The concentration of TNF-α was higher than before the intervention. The difference was statistically significant (P < 0.05). Conclusion: Cognitive behavioral intervention therapy can change the levels of IL-2, IL-4, IL-6, IL-8 and TNF-α in serum of breast cancer patients. It has a positive effect on the regulation of immune function in breast cancer patients.
Physical Layer Netwok Coding Untuk Kanal Relay Dua Arah

aringan Nirkabel secara umum merupakanbroadcast sehingga memiliki banyak masalah jikadibandingkan dengan jaringan kabel. Masalah tersebutadalah throughput rendah, keterbatasan bandwidth,hilangnya sinyal, performansi rendah saat kondisibergerak, konsumsi power yang tinggi, non-reliable,peka terhadap kondisi lingkungan seperti fading daninterferensi, dan gangguan keamanan. Pada layer fisikdalam jaringan nirkabel, semua data ditransmisikanmelalui gelombang elektromagnetik. Transmisi sinyalEM dari pengirim seringkali diterima oleh lebih darisatu node. Pada waktu yang sama, penerima dapatmenerima sinyal EM yang ditransmisikan oleh banyaknode secara bersamaan. Kondisi ini seringmenyebabkan gelombang lain yang bersamaandianggap sebagai pengganggu. Salah satu metodeberbasiskan Network Coding yang diusulkan untukmengeksploitasi gelombang ElektroMagnetik (EM)adalah Physical Layer Network Coding (PNC). DalamPNC gelombang EM yang datang bersamaan bisadijadikan mitra untuk meningkatkan performansijaringan. Dalam penelitian sebelumnya, penerapanPNC dilakukan dalam kanal flat fading dan tanpachannel coding, karena itu kali ini dicoba untukmenerapkan PNC dalam kanal rayleigh ditambahdengan convolutional code. Dengan menerapakan PNCmaka dihasilkan performansi jaringan yang lebih baikdaripada model tradisional. Kenaikan performansidiamati melalui parameter BER dan SNR
Iterative, Interactive Analysis of Agent-goal Models for Early Requirements Engineering

Conceptual modeling allows abstraction, communication and consensus building in system development. It is challenging to expand and improve the accuracy of models in an iterative process, producing models able to facilitate analysis. Modeling and analysis can be especially challenging in early Requirements Engineering (RE), where high-level system requirements are discovered. In this stage, hard-to-measure non-functional requirements are critical; understanding the interactions between systems and stakeholders is a key to system success. Goal models have been introduced as a means to ensure stakeholder needs are met in early RE. Because of the high-level, social nature of early RE models, it is important to provide procedures which prompt stakeholder involvement (interaction) and model improvement (iteration). Most current approaches to goal model analysis require quantitative or formal information that is hard to gather in early RE, or produce analysis results automatically over models. Approaches are needed which balance automated analysis over complex models with the need for interaction and iteration. This work develops a framework for iterative, interactive analysis for early RE using agent-goal models. We survey existing approaches for goal model analysis, providing guidelines using domain characteristics to advise on procedure selection. We define requirements for an agent-goal model framework specific to early RE analysis, using these requirements to evaluate the appropriateness of existing work and to motivate and evaluate the components of our analysis framework. We provide a detailed review of forward satisfaction procedures, exploring how different model interpretations affect analysis results. A survey of agent-goal variations in practice is used to create a formal definition of the i* modeling framework which supports sensible syntax variations. This definition is used to precisely define analysis procedures and concepts throughout the work. The framework consists of analysis procedures, implemented in the OpenOME requirements modeling tool, which allow users to ask “What if? ” and “Is this goal achievable, and how? ” questions. Visualization techniques are introduced to aid analysis understanding. Consistency checks are defined over the interactive portion of the framework. Implementation, performance and potential optimizations are described. Group and individual case studies help to validate framework effectiveness in practice. Contributions are summarized in light of the requirements for early RE analysis. Finally, limitations and future work are described.
Children as data scientists : explorations in creating, thinking, and learning with data

Data is a powerful lens for learning about the world. Driven by advances in computational technologies and methods that make it easier to collect, store, and analyze vast amounts of data about our world, data science has emerged as a new discipline with immense possibilities for discovery and learning. However, these possibilities are primarily accessible for adult experts in this thesis, I examine pathways to support children as data scientists. In the first part of this thesis, I study children's use of variables and lists in the Scratch programming environment. I quantitatively study the ways in which children use variables and lists in Scratch (e.g., to keep score in games), as well as factors that foster this engagement. I find support for the theory that children learn to use data-structures through remixing their peers' works, as well through looking at source code of projects created by their peers. I also find evidence to suggest that providing more powerful uses of datastructures (such as data-persistence) leads to children using more data structures overall. In the second part of the thesis, I introduce a new system, Scratch Community Blocks, that enables children to create projects that access and analyze data from the Scratch online community (e.g., creating visualizations that show which programming blocks they used in their projects or analyzing trends in the popularity of their projects within the community). Through artifact-based case studies, interviews, and survey responses collected from a group of children using the system, I show how children use data and programming to answer their own questions about learning and social behaviour within the Scratch community. I find that children use Scratch Community Blocks not only to create with data through stories and games, but also to think with data by engaging in self-reflection about their own learning and social participation, and through critical conversations about the role of data within the culture of the Scratch community. Thesis Supervisor: Mitchel Resnick Title: LEGO Papert Professor of Learning Research, Program in Media Arts and Sciences Children as Data Scientists: Explorations in Creating, Thinking, and Learning with Data by Sayamindu Dasgupta The following people served as readers for this thesis: A Thss e _e-Signature redacted Harold Abelson Class of 1922 Professor of Computer Science and Engineering Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Signature redacted ' \ Thesis Reader Benjamin Mako Hill Assistant Professor Department of Communication University of Washington
Cerebral Oxygenation and Cognitive Decline

The article of Yoshitani et al. (1) regarding cerebral hypoperfusion and cognitive outcome after cardiac surgery has some limitations (1). The arterial carbon dioxide tension (Paco2) values reveal a large degree of variance. As Paco2 is a fundamental determinant of Sjvo2, it should have been entered as varying covariate into the analysis of variance model. As a result, most of the between-group and withingroup differences would likely have been eliminated (2,3). A statistical tenet is that variables should be orthogonal, i.e., independent of each other. All the predictor variables in Table 4 are nonorthogonal, being related by being either mathematically coupled, highly intercorrelated, or repeated measures (3–5). Being robust and independent estimates, either jugular venous oxygen saturation or tension (SjvO2, PjvO2) should have been used, and given the orthogonal nature of repeated measures, a summary should have been generated for all the time points (5,6). Although some advocate the use of categorical definitions of cognitive decline (7), they are arbitrary (5). As SjvO2, PjvO2, and cognitive decrement are continua, linear (not logistic) regression should have been used (5). In taking this approach, we have been unable to relate any level of SjvO2, high or low, to either cognitive or neurological outcome 3 mo after coronary artery bypass grafting surgery (5,6).
NAMED ENTITY RECOGNITION IN TURKISH USING ASSOCIATION MEASURES

Named Entity Recognition which is an important subject of Natural Language Processing is a key technology of information extraction, information retrieval, question answering and other text processing applications. In this study, we evaluate previously well-established association measures as an initial attempt to extract two-worded named entities in a Turkish corpus. Furthermore we propose a new association measure, and compare it with the other methods. The evaluation of these methods is performed by precision and recall measures.
Adoring the Saints: Fiestas in Central Mexico

Introduction 1. Setting the Stage 2. Fiesta Leaders, Officials, and Saints (Mayordomos, cargueros, y santos) 3. Vigils, Visits, and Ritual Meals (Velaciones, posadas, y reliquias) 4. Processions, Encounters, Ceremonies, and Masses (Procesiones, encuentros, ceremonias, y misas) 5. Dances, Dance Dramas, and Entertainments 6. Toward Understanding the Patron Saint Fiesta Appendices Glossary References
Responsive Thinwire Visualization of Large Geographic Datasets

This thesis describes a web-based, responsive, zooming and panning visualization system for a full-featured geographic description of the United States. Current web-based map servers provide, from a visualization standpoint, little more than one static image per page, with hyperlinks for navigation; continuous zooming and panning requires locally stored data. Our primary contribution is a multi-threaded, scalable and responsive client-server architecture that responds to user requests as naturally and quickly as possible, regardless of network bandwidth reliability. This architecture can be generalized for use in other applications, including non-geographic ones. To this we add a scalable and flexible user interface for navigation of multi-scale geographic data, with intuitive zooming and panning, pop-up feature labels, and a user controlled tree-hierarchy of windows. We build software tools and algorithms for translating the U.S. Census Bureau's TIGER data into a format designed for speedy database retrieval and network delivery, and for generalizing the data into multiple levels of detail. Because of anomalies in the TIGER data, this processing requires some human intervention.
3D Video Particles

We present the concept of 3D video particles, a versatile representation for 3D video and real-time visual effects. By generalizing 2D video pixels towards 3D irregular point samples we combine the simplicity of conventional 2D video processing with the power of more complex polygonal representations for 3D video. The heart of the video particle representation is a hierarchical spacesubdivision data structure. Once initialized, this data structure can progressively be updated by so-called “smart” streaming. A smart 3D video stream consists of operators such as particle inserts, updates or deletes accounting for input changes. Our approach works with any real-time 3D reconstruction method and scales smoothly from view dependence to view independence. The video renderer implements a variety of advanced rendering operators including re-shading, and numerous 3D visual effects and makes use of state-of-the-art vertex processing hardware. 3D video particles are primarily designed for 3D telepresence, augmented reality, location-based entertainment, and real-time virtual studio applications.
PHARMACOLOGICAL STUDY OF TINOSPORA CORDIFOLIA AS AN IMMUNOMODULATOR

Immunomodulators are natural or synthetic agents, which by modifying the immune system affect a therapeutic benefit. They may have ability to augments (immune stimulant and /or immune enhancer), restore (immune restorative), inhibit (immune supressant) or help to produce (adjuvant) the desired immune response. The present work described that Tinospora cordifolia alcoholic extract shows immunomodulator activity. The various parameters determined were Delayed Type Hypersentivity (DTH), effect on the bone marrow cellularity and α‐esterase cells and zinc sulphate turbidity test. Orally administration of T. cordifolia alcoholic extract (100 mg/kg, p. o) was found to increases in the there was distinct increase in foot pad thickness after treatment with T. cordifolia alcoholic extracts which indicates immunomodulatory effects of T. cordifolia as compared to vehicle and cyclophosphamide treated groups. Also significant i ncrease in the WBC counts and bone marrow cells significantly indicating stimulatory effect on haeomopoetic system. In zinc sulphate turbidity test T. cordifolia treated rats serum showed the more turbidity (cloudy) which indicate the increase in the immunoglobulin level as compared to vehicle, SRBC sensitized and cyclophosphamide treated group. Finally it can be concluded that Tinoposra cordifolia (stem) mango plant climber shows potent immunomodulatory action.
Multi-band antenna

The present invention relates to a multi-band antenna, comprising radiating a long branch and one short branch radiation, a shorting bar, a feed point, a connection portion and a grounding portion, the elongated radiating branch, the connecting portion and the shorting bar composition an inverted F-shaped structure to receive the low band signal, the radiation of the short branch, the connecting portion and the shorting bar part of another inverted-F structure receives high band signals, the multi-band antenna further comprising a parasitic strip and a short length of the parasitic article, the elongated strip mate with the elongated parasitic radiating branch to expand the bandwidth of the multi-band antenna receiving a low frequency band signal, the short parasitic radiating strip and the short branches cooperate to expand the multi-band antenna receiving a high frequency band signal bandwidth .
Issues in the implementation of the i486 cache and bus

To meet its performance goal of executing most instructions in a single clock, the i486 microprocessor uses a cache memory that is integrated on the silicon die as the processor. The integrated cache is capable of performing one memory read or write each clock cycle. The size and organization of the cache were selected based on available silicon area and on the results of trace-driven simulation. An external bus was devised featuring burst data transfers to quickly fill cache lines and provisions to ensure cache coherency. <<ETX>>
A Study on Data Warehousing with Metadata for Different OLAP Features Using SCD Types

A Study on Data warehouse with metadata for different online analytical processing (OLAP) and online transaction processing (OLTP) are basically main necessity of the large database collection in business, corporate fields and many areas using Research ideas and developing new ideas using SCD types. Nowadays many services, products and new techniques are offering possible many ideas in the Informatiaca Power center Designer and Database Management system . Data warehouses involve Cleaning of data, Integration of data, and Transformation of data. Moreover, data warehouses provide online analytical processing. Slowly Changing Dimensions are dimensions that have data that changes slowly, rather than changing on a time-based, regular schedule.
Comparison of clinical effects between screw-implant and extra-force as anchorage

Objective To compare the clinical effects of using implant and extra-force as anchorage. MethodsTwenty orthodontic patients were selected and randomly divided into two groups. The patients had the same clinical manifestations as anterior teeth, maxillary or bimaxillary protrusion, and needed first premolar extraction and maximum anchorage. The total treatment time and the measurement of some of the landmarks were compared between the two groups, and the data was analyzed by t-test.Results The tissues around the implant were healthy, and no implant was loose. The average total treatment time was 23.9 months in the extra-force group, and 20.9 months in the implant group. The edge of the upper incisors was retracted by 5.07 mm in extra-force group, and 6.69 mm in implant group; the first molar moved 2.91 mm anteriorly in extra-force group, and 1.05 mm in implant group; the value difference of U1-SN was 15.7°in extra-force group, and 12.1°in implant group, before and after treatment, which were significantly different between the two groups.Conclusion Compared with the extra-force, implant was more efficient as anchorage for the control of teeth movement, with which the treatment time could be shortened.