Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGARUH DAN EFEKTIFITAS COGNITIVE BEHAVIORAL THERAPY (CBT) BERBASIS KOMPUTER TERHADAP KLIEN CEMAS DAN DEPRESI

Abstrak: Kecemasan dan Depresi merupakan bentuk gangguan jiwa yang paling umum terjadi. Perawatan dan pengobatan yang efektif untuk gangguan cemas dan depresi sangat diperlukan agar individu yang mengalami gangguan tersebut dapat kembali produktif dalam memenuhi kebutuhan hidup, tidak bergantung pada orang lain, dan dapat melakukan aktivitas sehari-hari. Tujuan penulisan ini adalah untuk mengetahui pengaruh/dampak dan efektifitas CBT berbasis komputer terhadap cemas dan depresi. Metode yang digunakan adalah studi literatur dengan pendekatan deskriptif eksploratif. Dapat disimpulkan bahwa: (1) Cognitive Behavioral Theraphy (CBT) merupakan gabungan terapi kognitif dan terapi perilaku yang dirancang untuk merubah pola pikir negatif menjadi positif sehingga individu memiliki kemampuan untuk bereaksi secara adaptif dalam menghadapi masalah atau situasi sulit dalam setiap fase kehidupan. (2) CBT efektif dan banyak dilakukan pada pasien-pasien gangguan mental/ kecemasan, (3) CBT belum dapat diaplikasikan secara optimal karena keterbatasan biaya, akses, dan praktisi ahli, (4) CBT efektif dalam menurunkan gejala depresi dan kecemasan, dan efesien dari segi biaya. Kata kunci: kecemasan, depresi, psikoterapi, c ognitive behavioral terapi (cbt) , cbt berbasis komputer. Abstract: Anxiety and Depression is a form of mental disorder that most commonly occurs. Care and effective treatment for anxiety disorders and depression are indispensable so that the disorder people may re-productive in meeting the needs of life, do not rely on others, and can perform daily activities. The purpose of this study was to determine the effect and the effectiveness of computer-based Cognitive Behavioral Theraphy ( CBT) on anxiety and depression. The method used literature study with descriptive exploratory approach. It can be concluded that: (1) CBT is a therapy that combines of cognitive and behavioral therapy designed to change negative thought patterns into positive so that person has the ability to react adaptively in the face of problems or difficult situations in every phase of life. (2) CBT has been widely performed in patients with mental disorders quite effectively (3) CBT therapy hasn’t been applied optimally yet in patients with mental disorders, especially anxiety disorders and depression because of the limitations of cost, access, and practitioners experts in the implementation of CBT, (4) CBT is effective in reducing symptoms of depression and anxiety, and also effcient in cost. Key words: anxiety, depression, psychotherapy, cognitive behavioral therapy (cbt), computer-based cbt.
THE FACTOR STRUCTURE OF THE BEM SEX‐ROLE INVENTORY (BSRI)

Abstract Research on the factor structure of the Bern Sex-Role Inventory generally indicates the existence of a number of smaller factors in addition to a major Masculine factor and a major Feminine factor. This has led to a suggestion that contrary to Bern's proposal, the scale is multidimensional. The present study attempted to examine further the factor structure of BSRI when applied to a non-Western sample. The results of a factor analysis appear to confirm the suggestion that BSRI is multidimensional. The re are also indications that both the Masculine and the Feminine scales have high internal consistencies which can be improved further if certain items were removed.
Fully Convolutional Region Proposal Networks for Multispectral Person Detection

Multispectral images that combine visual-optical (VIS) and infrared (IR) image information are a promising source of data for automatic person detection. Especially in automotive or surveillance applications, challenging conditions such as insufficient illumination or large distances between camera and object occur regularly and can affect image quality. This leads to weak image contrast or low object resolution. In order to detect persons under such conditions, we apply deep learning for effectively fusing the VIS and IR information in multispectral images. We present a novel multispectral Region Proposal Network (RPN) that is built up on the pre-trained very deep convolutional network VGG-16. The proposals of this network are further evaluated using a Boosted Decision Trees classifier in order to reduce potential false positive detections. With a log-average miss rate of 29:83% on the reasonable test set of the KAIST Multispectral Pedestrian Detection Benchmark, we improve the current state-of-the-art by about 18%.
α-Ca2+/Calmodulin-Dependent Protein Kinase II Contributes to the Developmental Programming of Anxiety in Serotonin Receptor 1A Knock-Out Mice

Mice lacking the serotonin receptor 1A [Htr1aknock-out (Htr1aKO)] display increased innate and conditioned anxiety-related behavior. Expression of the receptor in the mouse forebrain during development is sufficient to restore normal anxiety-related behavior to knock-out mice, demonstrating a role for serotonin in the developmental programming of anxiety circuits. However, the precise developmental period as well as the signaling pathways and neural substrates involved in this phenomenon are unknown. Here, we show that pharmacological blockade of the receptor from postnatal day 13 (P13)–P34 is sufficient to reproduce the knock-out phenotype in adulthood, thus defining a role for serotonin in the maturation and refinement of anxiety circuits during a limited postnatal period. Furthermore, we identify increases in the phosphorylation of α-Ca2+/calmodulin-dependent protein kinase II (αCaMKII) at threonine 286 in the hippocampus of young Htr1aKO mice under anxiety-provoking conditions. Increases in αCaMKII phosphorylation were most pronounced in the CA1 region of the hippocampus and were localized to the extrasynaptic compartment, consistent with a tissue-specific effect of the receptor. No changes in αCaMKII phosphorylation were found in adult knock-out mice, suggesting a transient role of αCaMKII as a downstream target of the receptor. Finally, the anxiety phenotype was abolished when knock-out mice were crossed to mice in which αCaMKII phosphorylation was compromised by the heterozygous mutation of threonine 286 into alanine. These findings suggest that modulation of αCaMKII function by serotonin during a restricted postnatal period contributes to the developmental programming of anxiety-related behavior.
The enhancement of combination of berberine and metformin in inhibition of DNMT1 gene expression through interplay of SP1 and PDPK1

Berberine (BBR), one of active alkaloid found in the rhizome, exhibited anti‐cancer properties. We have showed that BBR inhibited growth of non‐small cell lung cancer (NSCLC) cells through mitogen‐activated protein kinase (MAPK)‐mediated increase in forkhead box O3a (FOXO3a). However, the in‐depth mechanism underlying the anti‐tumor effects still remained to be elucidated. Herein, we further confirmed that BBR not only induced cell cycle arrest, but also reduced migration and invasion of NSCLC cells. Mechanistically, we observed that BBR reduced 3‐phosphoinositide‐dependent protein kinase‐1 (PDPK1) and transcription factor SP1 protein expressions. Exogenously expressed SP1 overcame BBR‐inhibited PDPK1 expression. Moreover, BBR inhibited DNA methyltransferase 1 (DNMT1) gene expression and overexpressed DNMT1 resisted BBR‐inhibited cell growth. Intriguingly, overexpressed PDPK1 antagonized BBR‐inhibited SP1 and DNMT1 expressions. Finally, metformin enhanced the effects of BBR both in vitro and in vivo. Collectively, we observe that BBR inhibits proliferation of NSCLC cells through inhibition of SP1 and PDPK1; this results in a reduction of DNMT1 expression. The interplay of PDPK1 and SP1 contributes to the inhibition of DNMT1 in response to BBR. In addition, there is a synergy of BBR and metformin. This study uncovers a new mechanism of BBR in combination with metformin for NSCLC‐associated therapy.
Excess Phosphoinositide 3-Kinase Subunit Synthesis and Activity as a Novel Therapeutic Target in Fragile X Syndrome

Fragile X syndrome (FXS) is an inherited neurologic disease caused by loss of fragile X mental retardation protein (FMRP), which is hypothesized to mediate negative regulation of mRNA translation at synapses. A prominent feature of FXS animal models is exaggerated signaling through group 1 metabotropic glutamate receptors (gp1 mGluRs), and therapeutic strategies to treat FXS are targeted mainly at gp1 mGluRs. Recent studies, however, indicate that a variety of receptor-mediated signal transduction pathways are dysregulated in FXS, suggesting that FMRP acts on a common downstream signaling molecule. Here, we show that deficiency of FMRP results in excess activity of phosphoinositide 3-kinase (PI3K), a downstream signaling molecule of many cell surface receptors. In Fmr1 knock-out neurons, excess synaptic PI3K activity can be reduced by perturbation of gp1 mGluR-mediated signaling. Remarkably, increased PI3K activity was also observed in FMRP-deficient non-neuronal cells in the absence of gp1 mGluRs. Here, we show that FMRP regulates the synthesis and synaptic localization of p110β, the catalytic subunit of PI3K. In wild type, gp1 mGluR activation induces p110β translation, p110β protein expression, and PI3K activity. In contrast, both p110β protein synthesis and PI3K activity are elevated and insensitive to gp1 mGluR stimulation in Fmr1 knock-out. This suggests that dysregulated PI3K signaling may underlie the synaptic impairments in FXS. In support of this hypothesis, we show that PI3K antagonists rescue three FXS-associated phenotypes: dysregulated synaptic protein synthesis, excess AMPA receptor internalization, and increased spine density. Targeting excessive PI3K activity might thus be a potent therapeutic strategy for FXS.
Cellular, Molecular and Functional Characterisation of YAC Transgenic Mouse Models of Friedreich Ataxia

Background Friedreich ataxia (FRDA) is an autosomal recessive neurodegenerative disorder, caused by a GAA repeat expansion mutation within intron 1 of the FXN gene. We have previously established and performed preliminary characterisation of several human FXN yeast artificial chromosome (YAC) transgenic FRDA mouse models containing GAA repeat expansions, Y47R (9 GAA repeats), YG8R (90 and 190 GAA repeats) and YG22R (190 GAA repeats). Methodology/Principal Findings We now report extended cellular, molecular and functional characterisation of these FXN YAC transgenic mouse models. FXN transgene copy number analysis of the FRDA mice demonstrated that the YG22R and Y47R lines each have a single copy of the FXN transgene while the YG8R line has two copies. Single integration sites of all transgenes were confirmed by fluorescence in situ hybridisation (FISH) analysis of metaphase and interphase chromosomes. We identified significant functional deficits, together with a degree of glucose intolerance and insulin hypersensitivity, in YG8R and YG22R FRDA mice compared to Y47R and wild-type control mice. We also confirmed increased somatic GAA repeat instability in the cerebellum and brain of YG22R and YG8R mice, together with significantly reduced levels of FXN mRNA and protein in the brain and liver of YG8R and YG22R compared to Y47R. Conclusions/Significance Together these studies provide a detailed characterisation of our GAA repeat expansion-based YAC transgenic FRDA mouse models that will help investigations of FRDA disease mechanisms and therapy.
Follow‐up association studies of chromosome region 9q and nonsyndromic cleft lip/palate

Cleft lip/palate comprises a large fraction of all human birth defects, and is notable for its significant lifelong morbidity and complex etiology. Several studies have shown that genetic factors appear to play a significant role in the etiology of cleft lip/palate. Human chromosomal region 9q21 has been suggested in previous reports to contain putative cleft loci. Moreover, a specific region (9q22.3–34.1) was suggested to present a ∼45% probability of harboring a cleft susceptibility gene. Fine mapping of 50 SNPs across the 9q22.3–34.11 region was performed to test for association with cleft lip/palate in families from United States, Spain, Turkey, Guatemala, and China. We performed family‐based analyses and found evidence of association of cleft lip/palate with STOM (rs306796) in Guatemalan families (P = 0.004) and in all multiplex families pooled together (P = 0.002). This same SNP also showed borderline association in the US families (P = 0.04). Under a nominal value of 0.05, other SNPs also showed association with cleft lip/palate and cleft subgroups. SNPs in STOM and PTCH genes and nearby FOXE1 were further associated with cleft phenotypes in Guatemalan and Chinese families. Gene prioritization analysis revealed PTCH and STOM ranking among the top fourteen candidates for cleft lip/palate among 339 genes present in the region. Our results support the hypothesis that the 9q22.32–34.1 region harbors cleft susceptibility genes. Additional studies with other populations should focus on these loci to further investigate the participation of these genes in human clefting. © 2010 Wiley‐Liss, Inc.
Investigations of the effects of sequential tones on the responses of neurons in the guinea pig primary auditory cortex

The auditory system needs to be able to analyse complex acoustic waveforms. Many ecologically relevant sounds, for example speech and animal calls, vary over time. This thesis investigates how the auditory system processes sounds that occur sequentially. The focus is on how the responses of neurons in the primary auditory cortex ‘adapt’ when there are two or more tones. When two sounds are presented in quick succession, the neural response to the second sound can decrease relative to when it is presented alone. Previous two-tone experiments have not determined whether the frequency tuning of cortical suppression was determined by the receptive field of the neuron or the exact relationship between the frequencies of the two tones. In the first experiment, it is shown that forward suppression does depend on the relationship between the two tones. This confirmed that cortical forward suppression is ‘frequency specific’ at the shortest possible timescale. Sequences of interleaved tones with two different frequencies have been used to investigate the perceptual grouping of sequential sounds. A neural correlate of this auditory streaming has been demonstrated in awake monkeys, birds and bats. The second experiment investigates the responses of neurons in the primary auditory cortex of anaesthetised guinea pigs to alternating tone sequences. The responses are generally consistent with awake recordings, though adaptation was more rapid and at fast rates, responses were often poorly synchronised to the tones. In the third experiment, the way in which responses to tone sequences build up is investigated by varying the number of tones that are presented before a probe tone. The suppression that is observed is again strongest when the frequency of the two tones is similar. However, the frequencies to which a neuron preferentially responds remain irrespective of the frequency and number of preceding tones. This implies that through frequency specific adaptation neurons become more selective to their preferred stimuli in the presence of a preceding stimulus.
European Conference on Information Systems ( ECIS ) 2010 Decision Making in Virtual Worlds : An Experimental Test of Altruism , Fairness and Presence

Virtual worlds are gaining in popularity and are proposed as a test laboratory for the real world. In these virtual worlds users act via their avatars and make decisions for them. In this paper, we analyze the decision making in virtual worlds in an experiment conducted in a virtual world, as well as in the real world over the internet, for the same set of subjects. For this purpose, we develop hypotheses for decision making in the context of a classic economic experiment (the Dictator Game). We find similar decisions in the virtual and the real world with respect to sharing. Altruism has a significant influence in the real world setting but not in the virtual world; fairness is insignificant in both settings. We identify the feeling of presence in one’s avatar and potential satiation effects as factors that influence decisions regarding the allocation of resources in the virtual world.
Statistical mechanics on axially symmetric space-times with the Killing horizon and entropy of rotating black holes in induced gravity

We develop a method for computing the free-energy of a canonical ensemble of quantum fields near the horizon of a rotating black hole. We show that the density of energy levels of a quantum field on a stationary background can be related to the density of levels of the same field on a fiducial static space-time. The effect of the rotation appears in the additional interaction of the "static" field with a fiducial abelian gauge-potential. The fiducial static space-time and the gauge potential are universal, i.e., they are determined by the geometry of the given physical space-time and do not depend on the spin of the field. The reduction of the stationary axially symmetric problem to the static one leads to a considerable simplification in the study of statistical mechanics and we use it to draw a number of conclusions. First, we prove that divergences of the entropy of scalar and spinor fields at the horizon in the presence of rotation have the same form as in the static case and can be removed by renormalization of the bare black hole entropy. Second, we demonstrate that statistical-mechanical representation of the Bekenstein-Hawking entropy of a black hole in induced gravity is universal and does not depend on the rotation.
Knowledge and Utilization of Computers Among Health Professionals in a Developing Country: A Cross-Sectional Study

Background Incorporation of information communication technology in health care has gained wide acceptance in the last two decades. Developing countries are also incorporating information communication technology into the health system including the implementation of electronic medical records in major hospitals and the use of mobile health in rural community-based health interventions. However, the literature on the level of knowledge and utilization of information communication technology by health professionals in those settings is scarce for proper implementation planning. Objective The objective of this study is to assess knowledge, computer utilization, and associated factors among health professionals in hospitals and health institutions in Ethiopia. Methods A quantitative cross-sectional study was conducted on 554 health professionals working in 7 hospitals, 19 primary health centers, and 10 private clinics in the Harari region of Ethiopia. Data were collected using a semi-structured, self-administered, and pre-tested questionnaire. Descriptive and logistic regression techniques using SPSS version 16.0 (IBM Corporation) were applied to determine the level of knowledge and identify determinants of utilization of information communication technology. Results Out of 554 participants, 482 (87.0%) of them responded to the questionnaire. Among them, 90 (18.7%) demonstrated good knowledge of computers while 142 (29.5%) demonstrated good utilization habits. Health professionals who work in the primary health centers were found to have lower knowledge (3.4%) and utilization (18.4%). Age (adjusted odds ratio [AOR]=3.06, 95% CI 0.57-5.37), field of study (AOR=3.08, 95% CI 1.65-5.73), level of education (AOR=2.78, 95% CI 1.43-5.40), and previous computer training participation (AOR=3.65, 95% CI 1.62-8.21) were found to be significantly associated with computer utilization habits of health professionals. Conclusions Computer knowledge and utilization habits of health professionals, especially those who work in primary health centers, were found to be low. Providing trainings and continuous follow-up are necessary measures to increase the likelihood of the success of implemented eHealth systems in those settings.
The Boltzmann equation on a two-dimensional lattice; theoretical and numerical results

The construction of discrete velocity models or numerical methods for the Boltzmann equation, may lead to the necessity of computing the collision operator as a sum over lattice points. The collision operator involves an integral over a sphere, which corresponds to the conservation of energy and momentum. In dimension two there are difficulties even in proving the convergence of such an approximation since many circles contain very few lattice points, and some circles contain many badly distributed lattice points. This paper contains a brief description of the proof that was recently presented elsewhere ([L. Fainsilber, P. Kurlberg, B. Wennberg, preprint 2004]). It also presents the results of numerical experiments.
The Role of Substance P in Ischaemic Brain Injury

Stroke is a leading cause of death, disability and dementia worldwide. Despite extensive pre-clinical investigation, few therapeutic treatment options are available to patients, meaning that death, severe disability and the requirement for long-term rehabilitation are common outcomes. Cell loss and tissue injury following stroke occurs through a number of diverse secondary injury pathways, whose delayed nature provides an opportunity for pharmacological intervention. Amongst these secondary injury factors, increased blood-brain barrier permeability and cerebral oedema are well-documented complications of cerebral ischaemia, whose severity has been shown to be associated with final outcome. Whilst the mechanisms of increased blood-brain barrier permeability and cerebral oedema are largely unknown, recent evidence suggests that the neuropeptide substance P (SP) plays a central role. The aim of this review is to examine the role of SP in ischaemic stroke and report on the potential utility of NK1 tachykinin receptor antagonists as therapeutic agents.
SVM Based Classification of Seven Nature Objects for Anytime, Anywhere Digital Photo Annotation

This paper proposes a method that can be utilized for automatically annotating digital photos anytime, anywhere. A digital camera or an annotation server connected to the digital camera through a ubiquitous computing network can automatically annotate captured photos using the proposed method. Annotating digital images is not a new research problem. We have developed a novel method of classifying seven nature objects from digital images. Thus, this paper describes the method and shows that it is superior to previous methods of classifying nature objects.
Autoimmune retinopathy associated with systemic lupus erythematosus: A diagnostic dilemma

Visual loss in systemic lupus erythematosus (SLE) due to autoimmune retinopathy (AIR) is rare and easily misdiagnosed as hydroxychloroquine retinopathy. We report the rare clinical presentation of severe visual loss in a patient with SLE due to nonparaneoplastic AIR as differentiated from hydroxychloroquine toxicity. A 70-year-old female diagnosed and treated for lupus for 17 years and had been taking hydroxychloroquine for 15 years. Over the past 2 years, she developed progressive peripheral visual loss oculus uterque which rapidly advanced in the latter 6 months. Hydroxychloroquine toxicity was initially suspected, but diagnostic testing revealed a retinal degeneration. Antiretinal autoantibody testing using Western blot analysis revealed autoantibodies against 44-kDa, 46-kDa (anti-enolase), and 68-kDa proteins. Visual acuity improved in the first 6 months of treatment with mycophenolate mofetil. Our case suggests that AIR should be considered in the differential diagnosis of rapid, severe visual loss in patients with hydroxychloroquine treatment.