Miracle-dz/UniFAR-FTUs huggingface dataset:
From High School to College: Factors Shaping the Collegiate Experience.

The purpose for conducting this study was to develop an understanding of undergraduate college students’ social readiness for the collegiate experience. The study made use of a qualitative approach and a narrative research design that used focus group interviews. The seven focus group interviews were conducted at four sites across the Southern and Midwest United States, including different institutional types. These institutions included a community college, private college, research and comprehensive state university. A total of 21 undergraduate firstand second-year students participated. The findings included external factors such as parents, siblings, friends and teachers having a significant influence over the students’ perceptions of their college experience. Similarly, students in the study found that participation in extracurricular activities in high school helped in their transition to college. However, for first-year students in the study, developing interpersonal relationships in their first year of college was difficult and often marked with disintegrating friendships with roommates. Sophomores in the study found themselves more comfortable in their college surroundings as well as having a solid base of friends. No matter the classification of students in the study or institution type, a connection to family and friends were important in the transition to college. By having a better understanding of the factors that contribute to the students’ collegiate experience based on their expectations and experiences, administrators and faculty alike will be able to better develop policy and initiatives that will contribute to students’ eventual success, satisfaction, and graduation from our institutions. This dissertation is approved for Recommendation to the Graduate Council Dissertation Director: _______________________________________________________ Dr. Michael T. Miller Dissertation Committee: _______________________________________________________ Dr. Ketevan Mamiseishvili _______________________________________________________ Dr. Kristin K. Higgins DISSERTATION DUPLICATION RELEASE I hereby authorize the University of Arkansas Libraries to duplicate this dissertation when needed for research and/or scholarship. Agreed ___________________________________________________________ Mary Jane Sarador Secuban Refused ___________________________________________________________ Mary Jane Sarador Secuban
Sorting Overlapping Spike Waveforms from Electrode and Tetrode Recordings

One of the outstanding problems in the sorting of neuronal spike trains is the resolution of overlapping spikes. Resolving these spikes can significantly improve a range of analyses, such as response variability, correlation, and latency. In this paper, we describe a partially automated method that is capable of resolving overlapping spikes. After constructing template waveforms for well-isolated and distinct single units, we generated pair-wise combinations of those templates at all possible time shifts from each other. Subsequently, overlapping waveforms were identified by cluster analysis, and then assigned to their respective single-unit combinations. We examined the performance of this method using simulated data from an earlier study, and found that we were able to resolve an average of 83% of the overlapping waveforms across various signal-to-noise ratios, an improvement of approximately 32% over the results reported in the earlier study. When applied to additional simulated data sets generated from single-electrode and tetrode recordings, we were able to resolve 91% of the overlapping waveforms with a false positive rate of 0.19% for single-electrode data, and 95% of the overlapping waveforms with a false positive rate of 0.27% for tetrode data. We also applied our method to electrode and tetrode data recorded from the primary visual cortex, and the results obtained for these datasets suggest that our method provides an efficient means of sorting overlapping waveforms. This method can easily be added as an extra step to commonly used spike sorting methods, such as KlustaKwik and MClust software packages, and can be applied to datasets that have already been sorted using these methods.
Electronic Medical Record in Central Polyclinic of Isfahan Oil Industry: A Case Study Based on Technology Acceptance Model

Introduction Today, health information technologies are base of health services and Electronic Medical Record is one of them. The purpose of this paper is to investigate the Technology Acceptance Model (TAM) on EMR at Central Polyclinic Oil Industry that is a pioneer in implementation of EMR in Isfahan. Methods This study was an applied and analytical survey that it was done at the Central Polyclinic Oil Industry. Because statistical population were limited, sampling bas been done by conducting the census and the sample was according to the population. The data was collected by a researcher-made questionnaire that it was validated by experts and its reliability was confirmed by test retest. The questionnaire was developed in 5 scopes including external factors (data quality and user interface), perceived usefulness, perceived ease of usefulness, attitude toward using, and behavioral intention to use. The Results analyzed by SPSS. Results There was a significant relationship between data quality with PU(r=/295, p</0001) and PEU(r=/499, p</0001). Also there was a significant relationship between user interface with PU(r=/543, p</0001) and PEU(r=/477, p</0001). PU and PEU had a significant relationship with attitude respectively (r=/590, p</0001; r=/605, p</0001). In addition attitude had a significant relationship with behavioral intention to use (r=/734, p</0001). There was no significant relationship between data quality with attitude (r=/161, p>/005). Discussion The survey of the scopes in the polyclinic showed that there is relationship among user interface, perceived usefulness, perceived ease of usefulness, attitude toward using, and behavioral intention to use, but data quality has no relationship with attitude. It seems the system designers didn’t consider to data quality characteristics. It is proposed that they consult with health information management professionals for improvement the existing system.
Detection and Identification of new malware in Network Security

- Spyware represents a serious threat to confidentiality relays the information across the Internet to a third party since it may result in loss of control over private data for location this type of software might collect the data and send it to the third party of the users without the user consent. Programs that have the potential violate the privacy and security of the system can be labeled as privacy software. These are includes the spyware, adware, trojans, greyware and backdoors. It may compromise the confidentiality, integrity and availability of the system and may obtain sensitive information without user consent this is useful for the marketing company and also generates the income for the from online ads distribution through adware. Originally, viruses represented the only major malicious threats to computer users and since then much research has been carried out in order to successfully detect and remove viruses from computer systems. Vendors are embedded spyware in which is installed with the application or by using the hacking methods the installed spyware may be capable of capturing keystrokes ,taking screen shorts, saving authentication credentials, storing personal
mel‐18, a Polycomb group‐related mammalian gene, encodes a transcriptional negative regulator with tumor suppressive activity.

The mammalian mel‐18/bmi‐1 gene products share an amino acid sequence and a secondary structure, including a RING‐finger motif, with the Drosophila Polycomb group (PcG) gene products Psc and Su(z)2, implying that they represent a gene family with related functions. As Drosophila PcG gene products are thought to function as transcriptional repressors by modifying chromatin structure, Mel‐18/Bmi‐1 might be expected to have similar activities. Here we have analyzed the function of mel‐18 and found that Mel‐18 acts as a transcriptional repressor via its target DNA sequence, 5′‐GACTNGACT‐3′. Interestingly, this binding sequence is found within regulatory or non‐coding regions of various genes, including the c‐myc, bcl‐2 and Hox genes, suggesting diverse functions of mel‐18 as the mammalian homolog of the PcG gene. We also demonstrate that mel‐18 has tumor suppressor activity, in contrast to bmi‐1, which has been defined as a proto‐oncogene.
Discurso y manipulacin: Discusin terica y algunas aplicaciones

Manipulacion es un concepto que se usa a menudo, pero que rara vez se explicita. Dado que la manipulacion es, generalmente, discursiva e implica abuso de poder, deberia ser estudiada por los estudios de Analisis Critico del Discurso (ACD). En este articulo, desde un enfoque interdisciplinario, ? triangular? , se analizan los aspectos social, cognitivo y discursivo de la manipulacion. La dimension social de la manipulacion se examina en terminos de abuso de poder por las elites simbolicas que tienen acceso preferencial al discurso publico y manipulan grupos de personas a favor de sus propios intereses y en contra del interes de las victimas. La dimension cognitiva de la manipulacion explica como el procesamiento del discurso y la formacion de modelos mentales y representaciones sociales son controlados por el discurso manipulativo. Y el analisis discursivo se centra en las propiedades tipicas del discurso que se usan al manipular las mentes de los receptores, tales como la presentacion positiva de uno mismo y negativa de los otros, en todos los niveles del discurso y en un contexto que presenta las limitaciones tipicas de las situaciones manipulativas: hablantes poderosos y receptores que carecen de recursos especificos, es decir, conocimiento para resistir la manipulacion.
Grammar Argumented LSTM Neural Networks with Note-Level Encoding for Music Composition

Creating any aesthetically pleasing piece of art, like music, has been a long time dream for artificial intelligence research. Based on recent success of long-short term memory (LSTM) on sequence learning, we put forward a novel system to reflect the thinking pattern of a musician. For data representation, we propose a note-level encoding method, which enables our model to simulate how human composes and polishes music phrases. To avoid failure against music theory, we invent a novel method, grammar argumented (GA) method. It can teach machine basic composing principles. In this method, we propose three rules as argumented grammars and three metrics for evaluation of machine-made music. Results show that comparing to basic LSTM, grammar argumented model’s compositions have higher contents of diatonic scale notes, short pitch intervals, and chords.
Causal Reasoning in Infants and Adults: Revisiting backwards-blocking

Causal learning is a fundamental ability that enables human reasoners to learn about the complex interactions in the world around them. The available evidence with children and adults, however, suggests that the mechanism or set of mechanisms that underpins causal perception and causal reasoning are not well understood; that is, it is unclear whether causal perception and causal reasoning are underpinned by a Bayesian mechanism, associative mechanism, or both. It has been suggested that a Bayesian mechanism, rather than an associative mechanism, underpins causal reasoning because such a mechanism can better explain the putative backwardblocking finding in children and adults (e.g., Sobel, Tenenbaum, & Gopnik, 2004). In this paper, we report two experiments to examine to what extent infants and adults exhibit backward blocking and whether humans’ ability to reason about causal events is underpinned by an associative mechanism, a Bayesian mechanism, or both.
PSYCHIATRIC NURSING

Objectives: This research was conducted to investigate the effects of problem-solving skills on smoking, drinking alcohol, suicide, and hopelessness. Methods: This descriptive study was conducted between January 2015 and May 2015 with 483 inpatients who received treatment and agreed to participate in the study. The data were collected using a Sociodemographic Information Form, Problem Solving Inventory (PSI), Suicide Probability Scale (SPS), Beck Depression Inventory (BDI), and Beck Hopelessness Scale (BHS). The Mann-Whitney U Test, Kruskal-Wallis H Test, and Spearman's Correlation method were used in the analysis of the data. Results: In the study, 48.8% were 21-30 years of age, a majority were male (96.1%), and 53.6% were single. Among the participants, 67.3% were living with their families and 64% had a nuclear family. The majority of the participants were unemployed (73.3%) and 40.2% percent completed high schools. In addition, 59.6% had low economic status. Smoking, alcohol, or substance use, age, gender, marital status, educational status, and economic situation affected problem-solving skills, probability of suicide, and depression and hopelessness levels. Smoking, drinking alcohol or substance abuse correlate with problem-solving ability, probability of suicide, depression and hopelessness. In addition, there are also correlations between problem-solving ability and depression; probability of suicide and depression; probability of suicide and hopelessness and depression and hopelessness. Conclusion: Nurses who work at alcohol and substance abuse centers should provide problem-solving training to their patients and their families. Thus, possible depression, hopelessness, and suicide that these individuals may face can be prevented.
PETRELS: Subspace estimation and tracking from partial observations

We consider the problem of reconstructing a data stream from a small subset of its entries, where the data stream is assumed to lie in a low-dimensional linear subspace, possibly corrupted by noise. It is also important to track the change of underlying subspace for many applications. This problem can be viewed as a sequential low-rank matrix completion problem in which the subspace is learned in an online fashion. The proposed algorithm, called Parallel Estimation and Tracking by REcursive Least Squares (PETRELS), identifies the underlying low-dimensional subspace via a recursive procedure for each row of the subspace matrix in parallel, and then reconstructs the missing entries via least-squares estimation if required. PETRELS outperforms previous approaches by discounting observations in order to capture long-term behavior of the data stream and be able to adapt to it. Numerical examples are provided for direction-of-arrival estimation and matrix completion, comparing PETRELS with state of the art batch algorithms.
Diagnostik im Kindes- und Jugendalter anhand strukturierter Interviews: Anwendung und Durchführung des Kinder-DIPS

Structured interviews have proven to be particularly useful in the diagnosing mental disorders in children and adolescents. Structured interviews are characterised by both their user friendliness and economy and allow for a systematic acquisition of information, leading to a reliable and valid diagnosis. The „ Diagnostic Interview for Mental Disorders for Children and Adolescents (Kinder-DIPS; Unnewehr, Schneider & Margraf, 1995; new edition in press), which comprises of both a parent and children version, is a structured interview available for German speaking areas. An intense training and a good preparation are required for the conducting of high-quality interviews with the Kinder-DIPS resulting in reliable diagnoses. The following paper describes the practical usage, the conducting of interviews and possible difficulties that may occur during an interview.
Getting at Student Understanding - the Key to Teachers’ Use of Test Data

Background/Context Much has been written about the efficacy of formative assessment. However, relatively little of that research focuses on the design qualities of the assessment instruments themselves that might provide useful information to teachers. Purpose/Objective/Research Question/Focus of Study This article decomposes the formative assessment process and reviews the empirical literature on the feedback from an assessment event to the teacher to investigate two research questions. First, what are the design elements of assessments that can enhance their embedded information to help teachers understand how students are thinking about a particular content area? Second, what do teachers need to know to be able to take advantage of more sophisticated assessment designs? Research Design The article reviews the literature on test design qualities, focusing on empirical studies that have examined how the qualities of tests inform teachers about student understanding. Overall, 117 articles were synthesized to extract three qualities of test design that enable or constrain their potential to provide insight to teachers about student thinking. Findings/Results The literature review identified three crucial test qualities that improve their potential value to teachers. First, tests can convey information about students’ developmental path toward a learning goal. Second, tests can provide information about students’ thought processes. Third, tests can be designed to reveal information about students’ misconceptions within a content area. Conclusions/Recommendations The article concludes with a conceptual framework to guide future research on ways to maximize the potential feedback that teachers can receive from assessments. The framework, and hence suggestions for future research, focuses on conducting research on the hypothesized relationships between the qualities of a test itself, the analyses that teachers conduct from the resulting data of student answers, teachers’ instructional responses, and the effect of this process on student learning.
Effects of Three Commercially Available Sports Drinks on Substrate Metabolism and Subsequent Endurance Performance in a Postprandial State

Purpose: To examine the effects of commercially available sports beverages with various components on substrate metabolism and subsequent performance. Methods: Two studies were conducted in a double-blinded, counterbalanced manner. Study I was designed to determine the glycemic index, while study II determined the utilization of substrates and subsequent exercise performance. Ten healthy male participants (age 21.70 ± 2.41 years, height 176.60 ± 5.23 cm, weight 66.58 ± 5.38 kg, V̇O2max 48.1 ± 8.4 mL/kg/min) participated in both study I and study II. Three types of commercially available sports beverage powders were used. The powders consisted primarily of oligosaccharides (low molecular weight carbohydrates, L-CHO), hydrolyzed starch (high molecular weight CHO, H-CHO), and whey protein powder with carbohydrate (CHO-PRO). They were dissolved in purified water with identical CHO concentration of 8% (w/v). In study I, each participant underwent two oral glucose tolerance tests (OGTT) and one glycemic response test for each sports drink. In study II, participants cycled for 60 min at 70% V̇O2max, one hour after consuming a standardized breakfast. One of four prescribed beverages (L-CHO, H-CHO, CHO-PRO, and Placebo control, PLA) was served at 0, 15, 30, 45 min during the exercise. Six hours after the first exercise session, participants came back for a “time to exhaustion test” (TTE). Blood samples were drawn at 0, 30, and 60 min in the first exercise session, while arterial blood gas analysis was conducted at 0, 30, and 60 min in both sessions. Subjective feelings (rating of perceived exertion and abdominal discomfort) were also evaluated every 30 min during exercise. Results: Compared to the reference standardized glucose solution, the glycemic index of the L-CHO beverage was 117.70 ± 14.25, while H-CHO was 105.50 ± 12.82, and CHO-PRO was 67.23 ± 5.88. During the exercise test, the insulin level at 30 and 60 min was significantly lower than baseline following the treatment of L-CHO, H-CHO, and PLA (p < 0.05). The CHO oxidation rate at 60 min in the first exercise session was significantly higher than that at 60 min in the second exercise session following the L-CHO treatment (p < 0.05). Time to exhaustion was not significantly different (p > 0.05). Conclusion: The CHO sports beverage with additional PRO maintains insulin production during endurance cycling at 70% V̇O2max in the postprandial state. L-CHO sports beverage suppresses fat utilization during the subsequent exercise performance test. The subsequent exercise performance (as evaluated by TTE) was not influenced by the type of CHO or the addition of PRO in the commercially available sports beverages used in the present study.
The relative importance of physician communication, participatory decision making, and patient understanding in diabetes self-management

AbstractOBJECTIVE: Patients’ self-management practices have substantial consequences on morbidity and mortality in diabetes. While the quality of patient-physician relations has been associated with improved health outcomes and functional status, little is known about the impact of different patient-physician interaction styles on patients’ diabetes self-management. This study assessed the influence of patients’ evaluation of their physicians’ participatory decision-making style, rating of physician communication, and reported understanding of diabetes self-care on their self-reported diabetes management. DESIGN: We surveyed 2,000 patients receiving diabetes care across 25 Veterans’ Affairs facilities. We measured patients’ evaluation of provider participatory decision making with a 4-item scale (Provider Participatory Decision-making Style [PDMstyle]; α=0.96), rating of providers’ communication with a 5-item scale (Provider Communication [PCOM]; α=0.93), understanding of diabetes self-care with an 8-item scale (α=0.90), and patients’ completion of diabetes self-care activities (self-management) in 5 domains (α=0.68). Using multivariable linear regression, we examined self-management with the independent associations of PDMstyle, PCOM, and Understanding. RESULTS: Sixty-six percent of the sample completed the surveys (N=1,314). Higher ratings in PDMstyle and PCOM were each associated with higher self-management assessments (P<.01 in all models). When modeled together, PCOM remained a significant independent predictor of self-management (standardized β: 0.18; P<.001), but PDMstyle became nonsignificant. Adding Understanding to the model diminished the unique effect of PCOM in predicting self-management (standardized β: 0.10; P=.004). Understanding was strongly and independently associated with self-management (standardized β: 0.25; P<.001). CONCLUSION: For these patients, ratings of providers’ communication effectiveness were more important than a participatory decision-making style in predicting diabetes self-management. Reported understanding of self-care behaviors was highly predictive of and attenuated the effect of both PDMstyle and PCOM on self-management, raising the possibility that both provider styles enhance self-management through increased patient understanding or self-confidence.