Miracle-dz/UniFAR-FTUs huggingface dataset:
Diagnosis and Treatment of Adjustment Disorders in People With Intellectual Disability

Mental Health Aspects of Developmental Disabilities April/May/June 2005 Vol. 8, No. 2 The adjustment disorders are a group of conditions in which a person suffers mild emotional and behavioral symptoms as the result of a stressor. Although common, there is little research on these conditions compared to other disorders, such as schizophrenia or major depression. For people with intellectual disability, there is very little research. We review what is known, and present two cases of adjustment disorder in people with intellectual disability.
DEVELOPING AND TESTING THE SCALE OF AESTHETIC APPRECIATION OF FILM (SAAF)

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Automated Robust Metric Calibration Algorithm for 3D Camera Systems

The concept of plenoptic cameras has existed since the early 1900s, with recent advances in computational power making them a viable tool for industrial applications. Plenoptic cameras can give 3D information about the scene with one camera, one lens, and a single image. This is possible by placing a microlens array directly in front of the image sensor. The depth estimation is based on disparities observed in individual microlens images, similar to stereo camera approaches. To relate these so-called virtual depth units to metric distances, a camera calibration must be performed. This paper presents a robust, automated camera calibration technique, which introduces new ways to model a multi-focus plenoptic camera.
THE EFFECT OF DIETARY AFLATOXIN ON WILD

Aflatoxins, toxic metabolites of Aspergillus flavus or Aspergillus parasiticus, cause poor feed utilization, decreased weight gains, depressed immune function, liver dysfunction, coagulation abnormalities, and death in a wide variety of species including humans. Conservationists have become concerned that increasingly popular wildlife feeding or baiting practices could expose wildlife to toxic amounts of aflatoxin-contaminated grains. In particular, the effects of aflatoxins on the wild turkey (Meleagris gallopova silvestris) are of concern because the conspecific domestic turkey is highly susceptible to aflatoxins. To evaluate the effect of dietary aflatoxin on wild turkeys, four groups of 4-mo-old wild turkeys were fed diets containing either 0, 100, 200, or 400 g aflatoxin/kg feed for 2 wk in September and October 1996. Aflatoxin-fed poults had decreased feed consumption and weight gains as compared with control poults. Decreased liverto-body weight ratios, liver enzyme alterations, slightly altered blood coagulation patterns, and mild histologic changes indicated low-level liver damage. Compromise of cell-mediated immunity was indicated by decreased lymphoblast transformation. The effects were apparent in all treatment groups to variable levels, but significant differences most often were found at 400 g aflatoxin/kg feed. This study shows that short-term aflatoxin ingestion by wild turkeys can induce undesirable physiologic changes; therefore, exposure of wild turkeys to feeds containing aflatoxin levels of 100 g aflatoxin/kg feed or more should be avoided.
Investing in Innovation and CEO Termination

I examine how investing in innovation affects CEO termination. Theory argues that firms investing in innovation will reduce their propensity to terminate their CEOs to encourage risk taking and long-term thinking. Consistent with these arguments, I find that firms affected by the plausibly exogenous passage of research and development tax credits invest more in innovation, produce more innovative output, and decrease their propensity to terminate their CEO. Firms appear to commit ex ante to reduced termination by decreasing their board independence. I also find evidence that CEO termination decreases more when innovative projects are longerhorizon, but no evidence that CEO termination decreases more when innovative projects are riskier.
University of Groningen Serial FLT PET imaging to discriminate between true progression and pseudoprogression in patients with newly diagnosed glioblastoma

Purpose Response evaluation in patients with glioblastoma after chemoradiotherapy is challenging due to progressive, contrastenhancing lesions on MRI that do not reflect true tumour progression. In this study, we prospectively evaluated the ability of the PET tracer F-fluorothymidine (FLT), a tracer reflecting proliferative activity, to discriminate between true progression and pseudoprogression in newly diagnosed glioblastoma patients treated with chemoradiotherapy. Methods FLT PETandMRI scans were performed before and 4 weeks after chemoradiotherapy. MRI scans were also performed after three cycles of adjuvant temozolomide. Pseudoprogression was defined as progressive disease on MRI after chemoradiotherapy with stabilisation or reduction of contrast-enhanced lesions after three cycles of temozolomide, and was compared with the disease course during long-term follow-up. Changes in maximum standardized uptake value (SUVmax) and tumour-to-normal uptake ratios were calculated for FLT and are presented as the mean SUVmax for multiple lesions. Results Between 2009 and 2012, 30 patients were included. Of 24 evaluable patients, 7 showed pseudoprogression and 7 had true progression as defined by MRI response. FLT PET parameters did not significantly differ between patients with true progression and pseudoprogression defined byMRI. The correlation between change in SUVmax and survival (p = 0.059) almost reached the standard level of statistical significance. Lower baseline FLT PET uptake was significantly correlated with improved survival (p = 0.022). Conclusion Baseline FLT uptake appears to be predictive of overall survival. Furthermore, changes in SUVmax over time showed a tendency to be associated with improved survival. However, further studies are necessary to investigate the ability of FLT PET imaging to discriminate between true progression and pseudoprogression in patients with glioblastoma.
STANDARDIZATION OF IN VITRO STERILIZATION PROCEDURES FOR MICROPROPAGATION OF GINGER (ZINGIBER OFFICINALE ROSC.)

Ginger is one of the most important spices crop in all over the world. But, inadequate multiplication rate and disease transmittance are hampers ginger cultivation to meet the demand of high quality planting material for commercial cultivation. Therefore, an efficient in vitro regeneration protocol considers a best alternative to overcome this problem. During micropropagation surface sterilization is the most important step in preparation of explants. The effect of four different sterilizing agents: Mercuric (II) chloride (HgCl2), Sodium hypochlorite (NaOCl), Hydrogen peroxide (H2O2) and Bavistin, were evaluated for sterilization of rhizome buds of Zingiber officinale Rosc. by varying their concentration and time of exposure. The percentage of contamination, tissue damage and survival of cultures were observed. The result showed that among all sterilization treatments 0.1% Mercuric (II) chloride (HgCl2) was the most effective treatment. Highest rate of contamination free culture 86.66±0% was achieved with 0.1% (HgCl2) for 15 minutes. Whereas, sterilization with Hydrogen peroxide, Sodium hypochlorite, Bavistin were not satisfactory.
Does child care availability play a rolein maternal employment and children?sdevelopment? Evidence from Italy REVIEW OF ECONOMICS OF THE HOUSEHOLD (9999)

This paper investigates the eﬀects of public child care availability in Italy in mothers’ working status and children’s scholastic achievements. We use a newly available dataset containing individual standardized test scores of pupils attending the second grade of primary school in 2009-10 in conjunction with data on public child care availability. Our estimates indicate a positive and signiﬁcant eﬀects of child care availability on both mothers’ working status and children’s Language test scores. We ﬁnd that a percentage change in public child care coverage increases mothers’ probability to work by 1.3 percentage points and children’s Language test scores by 0.85 percent of one standard deviation; we do not ﬁnd any eﬀect on Math test scores. Moreover, the impact of a percentage change in public child care on mothers’ employment and children’s Language test scores is greater in provinces where child care availability is more limited.
ARCHAEOLOGICAL INVESTIGATIONS AT THE POINT BENNETT PINNIPED ROOKERY ON SAN MIGUEL ISLAND

Point Bennett, on the western tip of San Miguel Island, California, is the site of one of the largest pinniped rookeries on the West Coast of North America. Findings from late Holocene shell middens situated on and adjacent to the modern rookery suggest that the pinniped population of this breeding area was considerably smaller between 1425 and 1500 AD than it is today. Archaeological evidence suggests that temporal variation in the size and species composition of the San Miguel pinniped community was a response to increased disturbance by Native American hunters between 500 and 1450 AD. These data are also consistent with evidence from other Northern Channel Island archaeological sites, which suggests an increase in the economic importance of pinniped meat during the late Middle Period.
Did this Really Happen? The Monitoring and Control of Human Memory

The importance of memory to human existence can hardly be overestimated. Without the mental faculty of memory there would be no understanding, no knowledge. Reality would be a continuous stream of transient and chaotic perceptions. Of course, since humans first began using external media to record their experiences and knowledge, various technological tools have been developed to aid in the problem of memory storage and retrieval. Nevertheless, as long as people constitute a primary source of information and continue to be responsible for transforming stored information into knowledge, the quality of human knowledge will continue to depend, to a great extent, on the quality of human memory.
Initial Experience of Atrial Septal Defect Closure with Occlutech Figulla Device at Queen Alia Heart Institute

Objective: To evaluate the effectiveness of the Occlutech Figulla occluder device in the treatment of ostium secundum atrial septal defect . Methods: This is a retrospective cohort study conducted between June 2008-June 2011 involving 54 cases with ostium secundum atrial septal defect who underwent transcatheter closure using the Occlutech Figulla device. All procedures were done under general anesthesia with continuous tranesophageal echocardiographic monitoring. Clinical and echocardiographic assessment were done after 24 hours and then after 1, 3 and 6 months respectively. The results are presented as means, standard deviations and percentages. Results: From the 54 cases 33 patients (61%) were females. Their mean age and weight were 16.47± 11.8 year, 38.4 ± 20.7Kg respectively. The mean atrial septal defect diameter by tranesophageal echocardiogram was 13.2 ± 4.2mm , and the mean atrial septal defect size of the implanted device was 15.97± 4.5mm , ranging from 10.5 to 27mm. Two cases were sent for surgery due to inadequate postero-inferior rim . The procedure success rate was 96.3%. In 5 cases (9.6%) there were trivial residual shunt after 24 hours of the procedure which were disappeared at follow up. Conclusion: The Occlutech device is safe and effective for transcatheter closure of secundum atrial septal defect . We need a long term follow up studies to evaluate the safety of the device.
On the Determinants of Riots, Coups and Civil Wars: The Effect of Youth Bulges

This paper investigates the relationship between domestic political conflict and youth bulges in economically stagnant societies. Considering the growing debate on population pressures and resource scarcity, their combined effect, I would argue, will likely increase the risk of violence. In this context, this paper estimates the heterogenous economic effect of large young cohorts on the likelihood of riots, coups and civil wars. Using panel data on conflict, polity and demographic and economic characteristics, this paper’s contribution is twofold. First, is to estimate the effect of youth bulges on political violence, where the latter is modelled as a continuum process (in terms of scale) covering riots, coups and civil wars. Second, I assess the extent to which the impact of youth bulges on political violence might depend on the level of youth unemployment and education. I find robust positive effect of youth bulges on the different forms of political violence, where the effect was found to be non-monotonic in the case of civil wars. Furthermore, the effect of youth bulges substantially hinges on high youth unemployment and education.
Learning Explicit and Implicit Structures for Targeted Sentiment Analysis

Targeted sentiment analysis is the task of jointly predicting target entities and their associated sentiment information. Existing research efforts mostly regard this joint task as a sequence labeling problem, building models that can capture explicit structures in the output space. However, the importance of capturing implicit global structural information that resides in the input space is largely unexplored. In this work, we argue that both types of information (implicit and explicit structural information) are crucial for building a successful targeted sentiment analysis model. Our experimental results show that properly capturing both information is able to lead to better performance than competitive existing approaches. We also conduct extensive experiments to investigate our model’s effectiveness and robustness1.
Identification of Bruneian Ethnic Groups from their English Pronunciation

The study investigates the identification of the two main ethnic groups in Brunei, the Malays and the Chinese, from their speech in English using recordings of a read passage. Twenty undergraduate students from Universiti Brunei Darussalam (UBD) were recorded reading a passage and forty undergraduate students listened to short extracts of the recordings and were asked to indicate the speakers' ethnicity as Malay or Chinese. The study finds that the ethnicity of the speakers in Brunei can be identified quite accurately by the Bruneian listeners based on their read speech, with an accuracy rate of 74%, and there is no significant difference in the identification of Bruneian Malays and Chinese. It is suggested that there is perhaps not much difference in the pronunciation of English of the Malays and Chinese in Brunei.
Energy Optimizing Hybrid Genetic Algorithm During VM Migrations in Data Center

Energy Consumption is the crucial factor in Cloud Data centers that leads to acquire high cost of running budget. As demand for resources increases in cloud computing, energy consumption of data centers also becomes high. In today’s era, virtualization has become one of the most essential solutions in minimization of energy consumption. Virtual Machine Placement on hosts is the main concept which carried out during Virtual Machine migrations in data centers. Virtual Machine migration helps to utilize hardware resources of hosts, but leads to extra energy overhead in Data centers. The main objective of this work is to optimize energy consumption in the context of energy overhead during VM Live Migration. Our proposed hybrid algorithm provisions various VMs to hosts in a way that to minimize energy consumption, while delivering approved Quality of Service with minimum migration overhead. Results demonstrate that proposed EOHGA algorithm minimized energy consumption and migration overhead with defined test problems as compare to base VM Placement method.
Towards the Substitution of Real with Artificially Generated Endoscopic Images for CNN Training

The generalization performance in deep learning is linked to the size and the variations of the samples available during training. This is apparent in the domain of computer-aided gastrointestinal tract abnormality detection, where the lesions can vary a lot from each other and the number of available samples is limited, mainly due to personal data protection legislations. In this work we present a novel approach of tackling the problem of limited training data availability by making use of artificially generated images. More specifically we trained a Generative Adversarial Network (GAN) using Wireless Capsule Endoscopy (WCE) images to generate fake but realistic images from the small bowel. The generated images were then used to train a Convolutional Neural Network (CNN) to identify inflammatory conditions on real WCE images. To evaluate the performance of our approach, in our experiments we compare the generalization performance of the same CNN architecture trained separately with real and fake images, obtaining 90.9% and 79.1% Area Under Receiver Operating Characteristic (AUC), respectively. The results show that training using solely artificially generated data can be effective in cases where real training data are inaccessible.
A Robust Neural Network-Based Method to Estimate Arterial Blood Pressure Using Photoplethysmography.

High Blood Pressure can lead to various cardiovascular diseases increasing the risk of death. Photoplethysmography (PPG) can be used as a low cost, optical technique to determine the arterial blood pressure continuously and noninvasively. Features of several different categories can be extracted from PPG signals. The prominent ones include width-based features, frequency domain features and features extracted from the second derivative of the signal (accelerated PPG). Existing methods primarily use one category of features or another but do not use features from multiple categories. We propose a method to extract a combination of characteristics from the PPG signal, which spans across the aforementioned categories and use them to train a neural network in order to estimate the Blood pressure values. Furthermore, most existing methods are not evaluated on PPG signals collected in a nonclinical setting using consumer-grade/wearable devices, which leaves their applicability to such settings untested. We evaluate our method using a benchmark dataset (MIMIC II) collected in a clinical setting as well a dataset collected using a consumer-grade device in a nonclinical setting. The results show that our method using 53 features achieves Mean Absolute Errors of 4.8 mmHg & 2.5 mmHg for Systolic Blood Pressure and Diastolic Blood Pressure respectively while reaching grade A for both the estimates under the standard British Hypertension Society for the MIMIC II dataset. The same methodology applied to the second dataset shows good agreement (MAE 4.1, 1.7 mmHg for SBP and DBP respectively) with readings taken using a standard oscillometric device, which suggests the robustness of our approach.
Opioid use and diabetes: An overview

Abstract Illicit opioids have emerged as a major public health problem over the past century. It continues to remain so in the current times. From the studies conducted among the animals, it has been clear that there are acute as well as chronic effects of opioids on the endocrine system. Diabetes has been recognized as a major public health concern and is expected to be a major problem in the coming decades. In this article, we shall discuss the effects of opioids in the glucose homeostasis in both the animal population and human population and its relation to diabetes.
Integration of smell into the digital world

This paper attempts to show that it is possible to develop smell based applications. The challenge is to infer correct smells from electroencephalography (EEG) signal, considering that a relationship between EEG data and smells was not admitted beforehand. One approach is to define a smells classifier using EEG sensing device, then it will be possible to integrate and use this information by applications or to share it over communication networks. In this work, a Deep learning classification model is explored to deduce correctly the type of odor the user is smelling. Primary results are encouraging at least for a small-scale experiment. The topic is still new and challenging and requires big reliable and accurate scientific data to achieve best performance.
Detecting dynamic changes in modular organization of spontaneous brain activity: A preliminary study

Our brain is a dynamic modular network. Even at rest, brain networks dynamically reconfigure in an organized manner, establishing patterns of connectivity known as resting state networks (RSNs). Recently, significant efforts have been devoted to characterize the dynamics of RSNs. However, little is known about how the dynamic changes in the modular structure shapes the fast spontaneous activity. In this paper, our objective is to validate the feasibility of a recently proposed modularity-based algorithm in investigating RSNs and their variations over time. For this aim, EEG data were recorded from two subjects during resting state. Using EEG source connectivity method with a sliding window, we reconstructed the dynamic brain networks in alpha band. Then, we applied the modularity algorithm to identify the main modular brain states fluctuating over time. The dominant modules were associated with the RSNs. Results showed that the extracted modules were concordant with RSNs found in literature. In particular, the default mode network, known as the most consistent RSN, dynamically alternates its reconfiguration between three modular organizations. Overall, we speculate that this approach, when applied on a larger dataset, will give new insights about the dynamic behavior of RSNs.
Evaluation of Daily Living Activities of the Individuals with Osteoarthritis

Objective: Osteoarthritis (OA) is one of the most commonly seen joint diseases and chronic diseases. This research was conducted in order to evaluate daily living activities of the individuals who were diagnosed as OA. Materials and Methods: It is a descriptive research in which 200 individuals who were diagnosed as OA participated. A questionnaire form including personal descriptive information and patient’s knowledge about the disease, Activities of Daily Living Scale (ADLs) and Instrumental Activities of Daily Living Scale (IADLs) were used as data collection tools. Data were statistically analyzed with descriptive statistics (numbers, means, standard deviation, median, percentages), Kolmogorov-Smirnov Test, Shapiro-Wilk Test, Kruskal-Wallis Variance Analysis, MannWhitney U Test, Cronbach’s Alpha Coefficient and Spearman’s Correlation Analysis. Results: 95.0% and 71.0% of the individuals told that they were independent while performing ADLs and IADLs, respectively. It was found that individuals who were female, at 77-89 years old, single, illiterate, housewife, had a low income level, had the disease for more than 15 years, had joint deformity and with an accompanying disease with OA or had an idea that OA affected ADLs had lower ADLs score than other groups (p<0.05). Individuals who were single, at 77-89 years old, illiterate, had joint deformity or who defined that OA affected ADLs and who received help while performing ADLs had lower ADLs score than other groups (p<0.05). Conclusions: It was concluded that individuals with OA should be helped, they should be supported in OA adaptation and the negative effects of the disease should be controlled. (Turkish Journal of Osteoporosis 2014;20: 117-24)