Miracle-dz/UniFAR-FTUs huggingface dataset:
Therapist Techniques and Client Outcomes: Eight Cases of Brief Psychotherapy

PART ONE: INTRODUCTION Introduction Method PART TWO: CASE ANALYSIS Case 1 Men on Trial Case 2 A Haven from Anxiety Case 3 Free To Be Me Case 4 Tell Me What To Do Case 5 Rescue Me Case 6 Daddy's Girl Case 7 Caustic Love Case 8 Admitting the Past PART THREE: SPECIFIC THERAPIST TECHNIQUES Therapist Self-Disclosures Therapist Interpretations - Clara E Hill, Barbara J Thompson and James R Mahalik PART FOUR: CONCLUSIONS Integration of Findings
A Study of Hybrid Similarity Measures for Semantic Relation Extraction

This paper describes several novel hybrid semantic similarity measures. We study various combinations of 16 baseline measures based on WordNet, Web as a corpus, corpora, dictionaries, and encyclopedia. The hybrid measures rely on 8 combination methods and 3 measure selection techniques and are evaluated on (a) the task of predicting semantic similarity scores and (b) the task of predicting semantic relation between two terms. Our results show that hybrid measures outperform single measures by a wide margin, achieving a correlation up to 0.890 and MAP(20) up to 0.995.
Applying genetic algorithm for hybrid job shop scheduling in a cosmetic industry

This work considers the problem of scheduling a given set of jobs in a Flexible Job Shop in a cosmetic industry, located in Colombia, taking into account the natural complexity of the process and a lot of amount of variables involved, this problem is considered as NP-hard in the strong sense. Therefore, it is possible to find and optimal solution in a reasonable computational time for only small instances, which in general, does not reflect the industrial reality. For that reason, it is proposed the use of metaheuristics as an alternative approach in order to determine, with a low computational effort, the best assignment of jobs in order to minimize the number of tardy jobs. This optimization objective will allow to company to improve their customer service. A Genetic Algorithm (GA) is proposed. Computational experiments are carried out comparing the proposed approach versus instances of literature by Chiang and Fu. Results show the efficiency of our GA Algorithm.
Visual steganalysis of LSB-encoded audio data based on frequency domain characteristics

Steganography is an art and science of information hiding. Text, audio and image files are usually used as cover data. Then, a secret message is embedded into these cover data that no one knows about it except sender and receiver. Mostly used methods for audio steganography are based on Least Significant Bit (LSB) method and its derivatives in the literature. Steganalysis is a methodology of detecting messages hidden using steganography. In this paper, a visual steganalysis method has been proposed. Secret text messages can be detected by using frequency domain characteristics of stego audio data which contain text messages. Experimental results show that if stego object contains text messages and it is encoded by LSB or its varieties, some remarkable changes can be observed in frequency domain characteristics and its spectrogram. Thanks to exploring these frequency domain characteristics of stego objects, steganalysis (stego text detection) on audio data can be visually realized.
Hadoop's adolescence

We analyze Hadoop workloads from three different research clusters from an application-level perspective, with two goals: (1) explore new issues in application patterns and user behavior and (2) understand key performance challenges related to IO and load balance. Our analysis suggests that Hadoop usage is still in its adolescence. We see underuse of Hadoop features, extensions, and tools as well as significant opportunities for optimization. We see significant diversity in application styles, including some“interactive”workloads, motivating new tools in the ecosystem. We find that some conventional approaches to improving performance are not especially effective and suggest some alternatives. Overall, we find significant opportunity for simplifying the use and optimization of Hadoop, and make recommendations for future research.
Sleep Paralysis as Spiritual Experience

This article presents an overview of the sleep paralysis experience from both a cultural and a historical perspective. The robust, complex phenomenological pattern that represents the subjective experience of sleep paralysis is documented and illustrated. Examples are given showing that, for a majority of subjects, sleep paralysis is taken to be a kind of spiritual experience. This is, in part, because of the very common perception of a non-physical ‘threatening presence’ that is part of the event. Examples from various cultures, including mainstream contemporary America which has no widely known tradition about sleep paralysis, are used to show that the complex pattern and spiritual interpretation are not dependent on cultural models or prior learning. This is dramatically contrary to conventional explanations of apparently ‘direct’ spiritual experiences, explanations that are summed up as the ‘Cultural Source Hypothesis. ’ This aspect of sleep paralysis was not recognized through most of the twentieth century. The article examines the way that conventional modern views of spiritual experience, combined with medical ideas that labeled ‘direct’ spiritual experiences as psychopathological, and mainstream religious views of such experiences as heretical if not pathological, suppressed the report and discussion of these experiences in modern society. These views have resulted in confusion in the scientific literature on sleep paralysis with regard to its prevalence and core features. The article also places sleep paralysis in the context of other ‘direct’ spiritual experiences and offers an ‘Experiential Theory’ of cross-culturally distributed spiritual experiences.
Low photon nonlinear effects in integrated photonic crystal cavities coupled to quantum dots

We show that integrating waveguides in photonic crystal cavities coupled to quantum dots leads to highly efficient optical nonlinear effects at low photon numbers. Semiconductor quantum dots coupled to photonic crystal cavities provide a platform where large optical nonlinearities can be observed near the single photon level [1,2]. Coupling photonic crystal cavities to a waveguide allows for efficient routing of photons into planar waveguide modes. This architecture can ultimately lead to ultra-low energy-dissipation switching applications and can be used to interface spatially separated cavities. Here, we demonstrate an integrated photonic crystal cavity-waveguide-QD system where strong coupling is observed through a change in the transmission spectrum of resonant light. In the high excitation regime, the QD saturates and the bare cavity mode is observed. Such switching can occur for extremely low photon numbers in the waveguide. The photon number can be estimated using the optical Stark shift when the QD is detuned from cavity resonance.
Cerium-based Histochemical Demonstration of Oxidative Stress in Taurocholate-induced Acute Pancreatitis in Rats: A Confocal Laser Scanning Microscopic Study

Direct in vivo histological detection of oxygen-derived free radicals (OFRs) in inflammatory conditions is not fully resolved. We report an application of cerium histochemistry (in which capture of OFRs by Ce atoms results in laser-reflectant cerium-perhydroxide precipitates) combined with reflectance confocal laser scanning microscopy (CLSM) to demonstrate the evolution of oxidative stress in taurocholate-induced acute pancreatitis (AP) in rats. Animals were perfused with CeCl3 in vivo and cryostat sections of pancreata were studied by CLSM. Vascular endothelium was immunolabeled for PECAM-1. OFR production by isolated polymorphonuclear leukocytes (PMNs) incubated in vitro with CeCl3 was quantified by image analysis. In the pancreas, strong OFR-derived cerium reflectance signals were seen in acinar cells at 1-2 hr, capillaries and small venules were frequently engorged by cerium precipitates, and adherent PMNs presented weak intracellular reflectance signals. At 8-24 hr, acinar cell OFR production decreased, whereas adherent/transmigrated PMNs displayed abundant intra- and pericellular reflectance. PECAM-1 expression was unchanged. PMNs from ascites or blood showed significant (p<0.01) time-dependent OFR production, plateauing from 2 hr. The modified cerium capture/CLSM method allows the co-demonstration of in vivo oxidative stress and cellular structures labeled with fluorescent markers. In vivo oxidative stress was shown histologically for the first time in experimental AP.
The Impact of Technology on Relationships in Educational Settings.

As the linguistic, cognitive and social elements of our lives are transformed by new and emerging technologies, educational settings are also challenged to respond to the issues that have arisen as a consequence. This book focuses on that challenge: using psychological theory as a lens to highlight the positive uses of new technologies in relationships and educational settings, and to advocate technological learning opportunities and social support where the misuse and abuse of ICT occurs.
Associating architectural issues with quality attributes: a survey on expert agreement

The architectural decision-making process is a complex and crucial endeavor in companies that develop large and distributed software systems. In this process, choosing and evaluating a solution for each architectural issue depends on decision drivers. The drivers are mainly the business factors (e.g., cost, time-to-market, etc.) and software quality attributes (e.g., security, adaptability, etc.). This paper examines whether there is agreement among experts in associating (i.e., relating) architectural issues with relevant quality attributes. We conducted a survey with 37 experts from several industrial domains who, at least once a month, make one or more architectural decisions. The results show there is poor agreement among these experts in identifying and scoring relevant quality attributes for each architectural issue. Poor agreement implies that the associating task is subjective, and that experts inconsistently define and interpret the relevance of various quality attributes for a given architectural issue that may hurt the sustainability of their architectural decisions. This paper suggests that practitioners in their decision-making should employ approaches that are more systematic. The approaches should be supported by methods and tools designed to diminish the biases of intuitive, experience-based approaches of associating architectural issues with quality attributes.
A one-time inducible transposon for terminating selectable markers in transgenic plants.

Since the maize transposon Ac can relocate to a new location within the genome, it has beenused in removing selectable markers in transgenic plants. We previously developed an inducible transposon system to truncate a selectable marker in transgenic plants by locating one end of the transposon in the intron of the marker gene (glyphosate tolerant epsps gene). We have now improved upon this system by locating the other end of the transposon in the intron of the transposase gene, which is controlled by the inducible promoter (PR-1a). Treatment with salicylic acid induced transposition of this transposon, COKC, which led to both marker gene and transposase gene breakages in exons. The behavior of COKC was analyzed in singlecopy transgenic rice plants. We determined the expression of the modified transposase and epsps genes and the transposition events in transgenic plants. The COKC element thus exhibits potential as a tool to create ”marker-off” transgenic plants for woody or vegetatively propagated plants species.
Color object detection using spatial-color joint probability functions

Object detection in unconstrained images is an important image understanding problem with many potential applications. There has been little success in creating a single algorithm that can detect arbitrary objects in unconstrained images; instead, algorithms typically must be customized for each specific object. Consequently, it typically requires a large number of exemplars (for rigid objects) or a large amount of human intuition (for nonrigid objects) to develop a robust algorithm. We present a robust algorithm designed to detect a class of compound color objects given a single model image. A compound color object is defined as having a set of multiple, particular colors arranged spatially in a particular way, including flags, logos, cartoon characters, people in uniforms, etc. Our approach is based on a particular type of spatial-color joint probability function called the color edge co-occurrence histogram. In addition, our algorithm employs perceptual color naming to handle color variation, and prescreening to limit the search scope (i.e., size and location) for the object. Experimental results demonstrated that the proposed algorithm is insensitive to object rotation, scaling, partial occlusion, and folding, outperforming a closely related algorithm based on color co-occurrence histograms by a decisive margin.
Patterns and implications of extensive heterochrony in carnivoran cranial suture closure

Heterochronic changes in the rate or timing of development underpin many evolutionary transformations. In particular, the onset and rate of bone development have been the focus of many studies across large clades. In contrast, the termination of bone growth, as estimated by suture closure, has been studied far less frequently, although a few recent studies have shown this to represent a variable, although poorly understood, aspect of developmental evolution. Here, we examine suture closure patterns across 25 species of carnivoran mammals, ranging from social‐insectivores to hypercarnivores, to assess variation in suture closure across taxa, identify heterochronic shifts in a phylogenetic framework and elucidate the relationship between suture closure timing and ecology. Our results show that heterochronic shifts in suture closure are widespread across Carnivora, with several shifts identified for most major clades. Carnivorans differ from patterns identified for other mammalian clades in showing high variability of palatal suture closure, no correlation between size and level of suture closure, and little phylogenetic signal outside of musteloids. Results further suggest a strong influence of feeding ecology on suture closure pattern. Most of the species with high numbers of heterochronic shifts, such as the walrus and the aardwolf, feed on invertebrates, and these taxa also showed high frequency of closure of the mandibular symphysis, a state that is relatively rare among mammals. Overall, caniforms displayed more heterochronic shifts than feliforms, suggesting that evolutionary changes in suture closure may reflect the lower diversity of cranial morphology in feliforms.
Improving Energy Efficiency in Idle Listening of IEEE 802.11 WLANs

This paper aims to improve energy efficiency of IEEE 802.11 wireless local area networks (WLANs) by effectively dealing with idle listening (IL), which is required for channel sensing and is unavoidable in a contention-based channel access mechanism. Firstly, we show that IL is a dominant source of energy drain in WLANs and it cannot be effectively alleviated by the power saving mechanism proposed in the IEEE 802.11 standard. To solve this problem, we propose an energy-efficient mechanism that combines three schemes in a systematic way: downclocking, frame aggregation, and contention window adjustment. The downclocking scheme lets a station remain in a semisleep state when overhearing frames destined to neighbor stations, whereby the station consumes the minimal energy without impairing channel access capability. As well as decreasing the channel access overhead, the frame aggregation scheme prolongs the period of semisleep time. Moreover, by controlling the size of contention window based on the number of stations, the proposed mechanism decreases unnecessary IL time due to collision and retransmission. By deriving an analysis model and performing extensive simulations, we confirm that the proposed mechanism significantly improves the energy efficiency and throughput, by up to 2.8 and 1.8 times, respectively, compared to the conventional power saving mechanisms.
Decreased brain glucose utilization in patients with Cushing's disease.

UNLABELLED Glucocorticoid hormones affect glucose use in different tissues, and the results of several experimental studies have suggested that glucocorticoids have a central action on cerebral metabolism. PET, using the radiotracer 18F-fluorodeoxyglucose (FDG), permits the measurement of cerebral glucose metabolism. METHODS To investigate whether cerebral glucose metabolism would be altered in patients with increased plasma glucocorticoid levels, we analyzed the FDG PET studies that were done on 13 patients with Cushing's disease and compared the results with those obtained in 13 age-matched normal control subjects. A second FDG PET scan was performed on 4 patients after surgical removal of the pituitary adenoma. RESULTS Patients with Cushing's disease had a significant reduction in cerebral glucose metabolism compared with normal controls. In the patients on whom a second PET scan was performed, there was a trend toward increased glucose metabolism on the second scan when comparing pre- and postsurgery values for each patient. CONCLUSION We suggest that the decreased cerebral glucose metabolism we observed in Cushing's disease is attributable to increased glucocorticoid levels, and we speculate that abnormal cerebral glucose metabolism might contribute to the cognitive and psychiatric abnormalities that are frequently observed in patients with Cushing's disease.
TARTIŞMAYI SONLANDIRMAK: CRONBACH'IN ALFA KATSAYISI, İKİ DEĞERLİ [0,1] ÖLÇÜMLENMİŞ MADDELER İLE KULLANILABİLİR

Olcumlerin guvenirligini kestirmek icin degisik yontemler vardir. Bunlardan birisi de Cronbach'in alfa katsayisi yontemidir. Cronbach'in alfa katsayisi ile ilgili olarak da, bu katsayinin sadece agirlikli olcumlenmis (Ornegin, 1,2,3,4,5 gibi) maddelerle kullanilabilecegi seklinde bir gorus vardir. Ancak, bazi bilim adamlarinca ileri surulen bu gorus dogru degildir. Cunku, Cronbach'in alfa katsayisi iki degerli (ornegin, 0,1 gibi) olcumlenmis maddelerle kullanilabilir.
Creating a meaningful visual perception in blind volunteers by optic nerve stimulation

A blind volunteer, suffering from retinitis pigmentosa, has been chronically implanted with an optic nerve visual prosthesis. Vision rehabilitation with this volunteer has concentrated on the development of a stimulation strategy according to which video camera images are converted into stimulation pulses. The aim is to convey as much information as possible about the visual scene within the limits of the device's capabilities. Pattern recognition tasks were used to assess the effectiveness of the stimulation strategy. The results demonstrate how even a relatively basic algorithm can efficiently convey useful information regarding the visual scene. By increasing the number of phosphenes used in the algorithm, better performance is observed but a longer training period is required. After a learning period, the volunteer achieved a pattern recognition score of 85% at 54 s on average per pattern. After nine evaluation sessions, when using a stimulation strategy exploiting all available phosphenes, no saturation effect has yet been observed.
Neurophysiological model of tinnitus

Introduction: Tinnitus, a common symptom in patients with otologic and/or neurologic problems, is a medical term describing acoustic perceptions in the ear or in the head that are not caused by or related to environmental stimuli. It is usually not considered as a disease by itself but rather as a part of an underlying medical condition including sudden hearing loss, acoustic trauma, cochlear dysfunction, Meniere’s disease, and neurological disorder. The neuroscientific analysis of tinnitus has been led to the development of a new theory on its origin which will be discussed in detail as the neurophysiologic model of tinnitus. Materials and Methods: A review of the latest literature on the subject of neurophysiological model of tinnitus was conducted in science direct, Pubmed, Google scholar, Proquet, Scopouse databases using the following keywords: “tinnitus”, “neurophysiologic model” and “mechanisms of tinnitus”. Results: Of 35 original and 7 review articles initially found, 18 articles were finally selected having studied original articles on the bases of their title, introduction and discussion and read review articles completely. The selected articles were used to carry out this review on the neurophysiologic model of tinnitus. Conclusion: The neurophysiologic model of tinnitus proposes that auditory and nonauditory processes are involved in it. Tinnitus loudness perception and the rate of its annoyance are depending on the limbic system’s activity. Keywords: Tinnitus, Auditory neurophysiological model, Nonauditory neurophysiological model
Processing of Regular and Irregular Past-Tense Verb Forms in First and Second Language Reading Acquisition.

We investigated written word identification of regular and irregular past-tense verb forms by first (L1) and second language (L2) learners of Dutch in third and sixth grade. Using a lexical decision task, we measured speed and accuracy in the identification of regular and irregular past-tense verb forms by children from Turkish-speaking homes (L2 learners) and monolingual Dutch-speaking homes (L1 learners). All beginning readers of Dutch had relatively more difficulties with the identification of irregular verb forms than regular verbs forms, but the effects were stronger for L2 learners than for L1 learners. These processing differences were only present in third grade, however, indicating that with increased target language experience, the reading of past-tense verb forms becomes more fluent and automatized in both L1 and L2 learners.
English-Malayalam Cross-Lingual Information Retrieval — an experience

This paper describes about an English-Malayalam cross-lingual information retrieval system. The system retrieves Malayalam documents in response to query given in English or Malayalam. Thus monolingual information retrieval is also supported in this system. Malayalam is one of the most prominent regional languages of Indian subcontinent. It is spoken by more than 37 million people and is the native language of Kerala state in India. Since we neither had any full-fledged online bilingual dictionary nor any parallel corpora to build the statistical lexicon, we used a bilingual dictionary developed in house for translation. Other language specific resources like Malayalam stemmer, Malayalam morphological root analyzer etc developed in house were used in this work.