Miracle-dz/UniFAR-FTUs huggingface dataset:
- 01 Attachment Changes Post-Conversion in Committed Converts toThe Church of Jesus Christ of Latter-day Saints

Attachment Changes Post-Conversion in Committed Converts to The Church of Jesus Christ of Latter-day Saints Laurie Page Department of Counseling Psychology and Special Education, BYU Doctor of Philosophy Religious conversion has been described as a “spiritual transformation” where converts experience an “intimate ‘union’. [with] divine presence” (Sandage & Shults, 2007). To better understand motivators of conversion, several studies have examined how attachment patterns affect the likelihood, and speed of religious conversion (e.g., Granqvist & Hagekull, 1999; Granqvist & Kirkpatrick, 2004; Kirkpatrck, 1998; Kirkpatrick & Shaver, 1990; Schnitker, Porter, Emmons, & Barrett, 2012). Converts’ changes in personality, self-definition, and meaningfulness following conversion have been noted (Halama and Lačná , 2011; Paloutzian, Richardson, & Rambo, 1999). However, little, if any research has been conducted examining changes in attachment patterns of converts that occur following conversion. The current study, a follow-up to Hansen, Page, Fischer, and Williams (2014), examined the post-conversion attachment changes for 39 committed converts to The Church of Jesus Christ of Latter-day Saints (ranging in time since baptism from 2 months to 35 years). Interviews were conducted previously (see Hansen, et al., 2014) in a semi-structured format by two undergraduate researchers (ranging from 30-60 minutes in length) and then transcribed by a third undergraduate research assistant. Two additional research assistants listened to the recordings and edited the transcriptions (Hansen, et al., 2014). Beginning with a theory-driven conceptual framework in the analysis, a qualitative hermeneutic interpretive method (see Jackson & Patton,1992; Kvale & Brinkmann, 2009) was used in the current study to explore the converts’ transcripts. The converts were not asked specific questions regarding their relationships at the time of the interview. However, the converts spontaneously revealed various attachments patterns in the way that they spoke of themselves, their family, and their friends in their narratives. Three overarching themes were drawn from the analysis. The converts (a) demonstrated evidence of attachment patterns in their narratives; (b) experienced a spiritual conversion or an experience of having a new or closer relationship with God beyond a projection of their parental attachment style; and (c) experienced a spiritual restructuring of their attachment patterns. In other words, they described feeling that their closer relationship with God dramatically changed the way they viewed themselves and how they interacted in relationships with others. The findings of this study have implications for understanding the impact of spirituality on attachment patterns.
Oral and Injectable (Non-insulin) Pharmacological Agents for Type 2 Diabetes -- Endotext

While lifestyle changes such as dietary modification and increased physical activity can be very effective in improving glycemic control, over the long-term most individuals with Type 2 diabetes will require medications to achieve glycemic control. The purpose of this chapter is to provide the healthcare practitioner with an overview of the existing oral and injectable (non-insulin) pharmacological options available for the treatment of patients with Type 2 diabetes. Currently, there are nine classes of orally available pharmacological agents to treat Type 2 diabetes: 1) sulfonylureas, 2) meglitinides, 3) metformin (a biguanide), 4) thiazolidinediones (TZDs), 5) alpha glucosidase inhibitors, 6) dipeptidyl peptidase IV (DPP-4) inhibitors, 7) bile acid sequestrants, 8) dopamine agonists, and 9) sodium-glucose transport protein 2 (SGLT2) inhibitors. In addition, glucagon like peptide 1 (GLP1) receptor agonists and amylin can be administered by injection. Medications from these distinct classes of pharmaceutical agents may be used as treatment by themselves (monotherapy) or in a combination of 2 or more drugs from multiple classes with different mechanisms of action. A variety of fixed combination of 2 agents are available in the US and in many other countries. In this chapter we discuss the administration, mechanism of action, effect on glycemic control, other benefits, side effects, and the contraindications of the use of these glucose lowering drugs. INTRODUCTION While lifestyle changes such as dietary modification and increased physical activity can be very effective in improving glycemic control, over the long-term most individuals with Type 2 diabetes will require medications to achieve glycemic control (1). The purpose of this chapter is to provide the healthcare practitioner with an overview of the existing oral and injectable (non-insulin) pharmacological options available for the treatment of patients with Type 2 diabetes. The use of these drugs to treat diabetes during pregnancy, in children and adolescents, and for the prevention of diabetes are discussed in other Endotext chapters (2-4). For information on the management of Type 2 diabetes and selecting amongst the available pharmacological agents see the chapter by Cavaiola and Pettus in Endotext (5). Currently, there are nine classes of orally available pharmacological agents to treat Type 2 diabetes: 1) sulfonylureas, 2) meglitinides, 3) metformin (a biguanide), 4) thiazolidinediones (TZDs), 5) alpha glucosidase inhibitors, 6) dipeptidyl peptidase IV (DPP-4) inhibitors, 7) bile acid sequestrants, 8) dopamine agonists, and 9) sodium-glucose transport protein 2 (SGLT2) inhibitors (Table 1) (68). In addition, glucagon like peptide 1 (GLP-1) receptor agonists and amylin can be administered by injection (Table 2) (6-8). Table 1. Currently Available (USA) Oral Hypoglycemic Drugs to Treat Type 2 Diabetes
A DATA MINING BASED MODEL TO IMPROVE UNIVERSITY MANAGEMENT

The main purpose of university managers is to manage as well as possible the institutional resources, the academic and administrative services. Thus they have to be able to manage and use a large amount of data and information, inside the own university as well as outside of it. The big volume of information increases the difficulty of decision making. The paper emphasizes an efficient way to structure the decisional process in the superior school, using a generic architecture that contains data mining technology. Being a process of knowledge discovery, data mining uses data to create models through a predictive mechanism. Having as purpose the improvement of the decisional process, the model proposed in the current paper uses software instruments of last generation in the field of web development, data bases and interface design. This allows the development, inside universities, of a system that analyses the workflow, being able to identify the deficiencies and assure making good decisions. Using specific algorithms for statistics and searching techniques, the model extracts information meant to improve the learning process, to correlate the educational offer with the work market, to lead to increase of performance in the process of making decisions.
econstor Make Your Publications Visible . A Service of zbw

Empirical inferences about particular forms of agents’ inflation expectations are crucial for the conduct of monetary policy. This paper is an attempt to explore the properties of the Reserve Bank of India’s survey data of households’ inflation expectations. The paper shows that survey respondents do not form expectations rationally, regardless of the reference measures of inflation used. Further, results indicate that inflation expectations are formed purely in backward-looking manner, suggesting that the Reserve Bank of India (RBI) has a low degree of credibility within the survey respondents. The study then formulates a model to identify individual elements of the backward-looking expectations in the data. The results suggest that the respondents’ short term expectations for WPI inflation are purely naïve type of expectations, only influenced by respondents earlier period expectations. In the case of CPIIW inflation, the results however suggest that the short-term expectations are not purely naïve type, but also contain adaptive as well as a static forms of expectations. This means that respondents consider their previous forecast errors about CPIIW inflation and draw recent price developments in the CPIIW while forming their overall short-term inflation expectations. This finding provides some formal evidence that the CPI based inflation measure is better suited, than WPI inflation, as a nominal anchor in the RBI’s recent transition to inflation targeting regime. JEL classification: D84; E31; E52; E37
Characterization of carbon felt electrodes for vanadium redox flow batteries – A pore network modeling approach

Carbon felt electrodes are commonly used as porous electrodes in Vanadium redox flow batteries for large-scale energy storage. The transport properties of these electrodes are an important parameter as the transport resistance can form a significant parasitic power loss depending on the configuration of the flow battery. Therefore, to better predict the overall parasitic power losses and devise strategies for the improvement of overall battery efficiency, the transport properties need to be properly understood. In this work, four commercially available carbon felt electrodes have been investigated for their transport properties. It has been shown that the non-activated electrode is hydrophobic in nature, while after activation, the electrodes become hydrophilic. The single-phase diffusion and permeability were found to decrease linearly with an increase in electrode thickness. The imbibition characteristics were similar for the four electrodes, although the change in wettability had a strong impact on the pressure required for the electrolyte to invade into the electrode.
What are the islamic bank customers attitude determinants? A literature review

DOI: 10.21276/sjbms.2018. 3.3. 3 Abstract: The purpose of this paper is to identify the factors that influence the customers' Attitude to patronise Islamic bank by applying theory of planned behaviour. The literature on Islamic banking is extensive and focuses on customers‟ behaviour, yet it is still unclear what variables may have a potential impact on customers‟ attitude. The Islamic bank customers‟ patronising factors were long discussed in the literature, but the predictors of customers‟ attitude toward Islamic banks according to the theory of planned behaviour has not been thoroughly discussed. The predictors of attitude were examined within theoretical framework. This study proposed and developed a framework using the Islamic bank customers selection criteria (product features, service quality, social responsibility practices and trust) as determinant of attitude. The framework is open for quantitative test which can form a genera for future researches in the area of determinates of Islamic bank customers Attitude. The theoretical framework incorporates customers selection criteria that are likely determine the customers attitude to patronise Islamic banks. The framework suggests that selection criterias‟ namely: product features, service quality, social responsibility practices and trust determine the customers attitude to patronise Islamic banks. This study integrates the selection criteria (product features, service quality, social responsibility practices and trust) to determine the attitude in the theoretical framework. The previous studies untapped the integration of customers selection criteria to patronise Islamic banks in the theory of planned behaviour.
Tilburg University Shared Decision Making in mental health care using Routine Outcome Monitoring as a source of information : a cluster randomised controlled trial

Background: Shared Decision Making (SDM) is a way to empower patients when decisions are made about treatment. In order to be effective agents in this process, patients need access to information of good quality. Routine Outcome Monitoring (ROM) may provide such information and therefore may be a key element in SDM. This trial tests the effectiveness of SDM using ROM, primarily aiming to diminish decisional conflict of the patient while making decisions about treatment. The degree of decisional conflict, the primary outcome of this study, encompasses personal certainty about choosing an appropriate treatment, information about options, clarification of patient values, support from others and patients experience of an effective decision making process. Secondary outcomes of the study focus on the working alliance between patient and clinician, adherence to treatment, and clinical outcome and quality of life. Methods/Design: This article presents the study protocol of a multi-centre two-arm cluster randomised controlled trial (RCT). The research is conducted in Dutch specialised mental health care teams participating in the ROM Quality Improvement Collaborative (QIC), which aims to implement ROM in daily clinical practice. In the intervention teams, ROM is used as a source of information during the SDM process between the patient and clinician. Control teams receive no specific SDM or ROM instructions and apply decision making as usual. Randomisation is conducted at the level of the participating teams within the mental health organisations. A total of 12 teams from 4 organisations and 364 patients participate in the study. Prior to data collection, the intervention teams are trained to use ROM during the SDM process. Data collection will be at baseline, and at 3 and 6 months after inclusion of the patient. Control teams will implement the SDM and ROM model after completion of the study. Discussion: This study will provide useful information about the effectiveness of ROM within a SDM framework. Furthermore, with practical guidelines this study may contribute to the implementation of SDM using ROM in mental health care. Reporting of the results is expected from December 2016 onwards. Trial registration: Dutch trial register: TC5262 Trial registration date: 24th of June 2015
CDMA 10 / 03 Structural Interactions in Spatial Panels *

Until recently, much effort has been devoted to the estimation of panel data regression models without adequate attention being paid to the drivers of diffusion and interaction across cross section and spatial units. We discuss some new methodologies in this emerging area and demonstrate their use in measurement and inferences on cross section and spatial interactions. Specifically, we highlight the important distinction between spatial dependence driven by unobserved common factors and those based on a spatial weights matrix. We argue that, purely factor driven models of spatial dependence may be somewhat inadequate because of their connection with the exchangeability assumption. Limitations and potential enhancements of the existing methods are discussed, and several directions for new research are highlighted. JEL Classification: E42, E43, E50, E58.
A NEW METHOD FOR ANALYZING CONGESTION LEVELS BASED ON ROAD DENSITY AND VEHICLE SPEED

Congestion remains as an important issue to date, and it is continuously investigated by experts in order to find solutions in the process of information dissemination to road users. The existing research was more concerned on detecting vehicles and road rather than congestion, thus there has been no clear definition of congestion offerred. What really happened was that vehicle accumulation will always be referred to as congestion, although it is not necessarily the case, thus the information about congestion condition becomes inaccurate. Moreover, the existing research mainly viewed the vehicle speed aspect as the basis of congestion level estimation. Other researchers used GPS and probe detectors, but there has been much limitation despite such equipment. On average, the research carried out was only focused on the number of vehicles at a given frame as the basis for density/congestion calculation. In fact, congestion is also determined by road density and vehicle speed in a given period. Therefore, it is necessary to find a way that can display the information about road condition and congestion in a factual, timely manner. In this paper, we present two novel methods in the context of congestion detection employing information about road density and vehicle speed. Road density defines the extent to which road area is occupied by vehicles, while vehicle speed sees how fast vehicles pass a given frame. Thus, the information of both helps define the levels of vehicle congestion on a road. Based on the experiment conducted on an in-city road, this method was found to be accurate in defining the levels of congestion, starting from light, jam to heavy-jam traffic. To corroborate the argumentation of the congestion conditions, calculation using Fuzzy model was conducted given that the congestion levels are not measurable in an exact manner (light (macet ringan), jam (macet sedang), heavy-jam (macet berat) and total traffic gridlock (macet total)), thus the information obtained is more accurate. The method developed does not require high cost, yet it is quite effective in presenting congestion information in a quick, real-time, accurate way.
Nursing students’ health profile: epidemiological diagnosis based on the PRECEDE-PROCEED model

Background: The identification of nursing students’ health profile is essential to develop healthy academic communities. Objective: To analyze students’ health profile with a view to designing intervention strategies based on the PRECEDE-PROCEED model. Methodology: Quantitative study. Data were collected using the Portuguese version of the following questionnaires: the Fantastic Lifestyle Assessment, the Stunkard Figure Rating Scale, the Rosenberg Self-esteem Scale, and the Psychological General Well-Being Index. A total of 224 undergraduate and postgraduate nursing students participated in this study. Results: Students’ overall lifestyle is very good. However, lower scores were found in the Physical activity/Affiliation, changes in Nutrition, altered sleep and low stress management ability, Work/Personality type, and Insight, which suggests that students are less optimistic and positive about life. Conclusion: The intervention plan includes support, education, protection, and prevention should be adapted to students’ individual needs and integrated into the curricula.
Responses from electric stimulation of cochlear nucleus ) y

Cochlear nucleus (CN), the exclusive destination of the auditory nerve, is the gateway for all central processing of auditory information. The CN comprises three major subdivisions: anteroventral, posteroventral and dorsal (AVCN, PVCN and DCN, respectively), each of which contains anatomically and physiologically distinct neurons projecting onto different targets. This research used focal electric stimulation of small, confined parts of the CN in anesthetized guinea pigs to resolve the roles of the CN divisions, in two contexts. Part i explored the effect of stimulation on the gross neural potential (electrically evoked auditory brainstem response, EABR). In AVCN and PVCN away from the 8th nerve fibers entering the brainstem, stimulation consistently evoked waveforms comprising 3 waves, suggesting a diffuse distribution of cellular generator of the EABR. On the other hand, in vestibular structures (vestibular nerve root and Scarpa's ganglion), the characteristic waveform comprised only two waves. Stimulation of multiple neural structures, as seen with higher stimulus levels or stimulation in auditory nerve root area generally produced more complex and variable waveforms. Part 2 explored the effects of stimulation on the activation of one type of auditory reflex, medial olivocochlear (MOC) reflex. The reflex was monitored through its effects on distortion product otoacoustic emission (DPOAE). The MOC reflex was activated bilaterally by stimulating PVCN or AVCN shell, but not AVCN core. These results suggest that there are two groups of MOC interneurons in specific parts of CN. Thesis Supervisor: M. Christian Brown Title: Associate Professor of Otology and Laryngology Harvard Medical School
Cytokines in human reproduction

The role of psycho-neuro-endocrine immunology in reproduction cytokines and testicular function cytokines and ovarian function cytokines in the cervical vaginal environment cytokine and growth factor networks in human endometrium from menstruation to implantation cytokines and growth factor networks in uterine leiomyomas cytokines in early pregnancy success and failure.
Nature-Based Education and Kindergarten Readiness: Nature-Based and Traditional Preschoolers Are Equally Prepared for Kindergarten.

Time spent outdoors benefits children’s physical, social and psychological development, although children today spend far less time outdoors than children of previous generations. The nature-based school initiative has grown in popularity as a means of increasing children’s connection with nature and harnessing its benefits for their educational development. The current study is one of the first to quantitatively compare a traditional and a naturebased pre-primary program at the same school. Using a multi-method approach, this study aimed to better understand the relationships between learning environment and important developmental variables, including social interaction, play, behavior, school enjoyment and nature appreciation. Results indicate that both groups are equally prepared for kindergarten with regard to social-emotional, academic and pretend play skills.
A DOA Estimation Algorithm Exploiting Multiple FM Channels for Passive Bistatic Radar

An FM based passive bistatic radar (PBR) is a passive radar technique exploiting the multiple FM transmitters. In such PBR systems, the direction-ofarrival (DOA) for target localization is considered as one of the important parameters to be estimated. The conventional methods have mainly focused on the single FM channel configuration for DOA estimation. Recently, the multi-channel based DOA estimation schemes have been developed. However, they have not been fully secured due to the lack of the theoretical analysis. Since the maximum likelihood (ML) technique is known to be approximately the minimum variance unbiased (MVU) estimator, thus, we develop an ML angle estimator exploiting the multiple FM channels. From the simulation results, we show that the proposed method asymptotically approaches the Cramer-Rao bound (CRB) and can be established without cumbersome process of the conventional method.