LLukas22/scidocs huggingface dataset:
Evaluation of a Primary Prevention Program for Anxiety Disorders Using Story Books with Children Aged 9–12 Years

This article reports the results of a study evaluating a book-supported primary prevention program “Dominique’s Handy Tricks” for anxiety disorders in children aged 9–12 years. This cognitive-behavioural program is delivered using a combination of storybooks and workshop sessions. The originality of the program comes from the use of storybooks that were not developed specifically for anxiety management. Every session is based on a story describing characters facing common stressors and how they manage to cope with their daily problems. In our randomized control trial with 46 children, participation in the program led to a significant improvement in coping skills, perceived self-efficacy, anxiety sensitivity, as well as in symptoms of anxiety and fear. The theoretical and practical elements underlying the delivery of this primary prevention program are described. Conclusion: It is suggested that such an approach, without any labelling specific to anxiety disorders, can be useful in primary prevention programs.
Clinic scheduling models with overbooking for patients with heterogeneous no-show probabilities

Clinical overbooking is intended to reduce the negative impact of patient noshows on clinic operations and performance. In this paper, we study the clinical scheduling problem with overbooking for heterogeneous patients, i.e. patients who have different noshow probabilities. We consider the objective of maximizing expected profit, which includes revenue from patients and costs associated with patient waiting times and physician overtime. We show that the objective function with homogeneous patients, i.e. patients with the same no-show probability, is multimodular. We also show that this property does not hold when patients are heterogeneous. We identify properties of an optimal schedule with heterogeneous patients and propose a local search algorithm to find local optimal schedules. Then, we extend our results to sequential scheduling and propose two sequential scheduling procedures. Finally, we perform a set of numerical experiments and provide managerial insights for health care practitioners.
Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text

The task of relation classification in the biomedical domain is complex due to the presence of samples obtained from heterogeneous sources such as research articles, discharge summaries, or electronic health records. It is also a constraint for classifiers which employ manual feature engineering. In this paper, we propose a convolutional recurrent neural network (CRNN) architecture that combines RNNs and CNNs in sequence to solve this problem. The rationale behind our approach is that CNNs can effectively identify coarse-grained local features in a sentence, while RNNs are more suited for long-term dependencies. We compare our CRNN model with several baselines on two biomedical datasets, namely the i2b22010 clinical relation extraction challenge dataset, and the SemEval-2013 DDI extraction dataset. We also evaluate an attentive pooling technique and report its performance in comparison with the conventional max pooling method. Our results indicate that the proposed model achieves state-of-the-art performance on both datasets.1
Eukaryotes and Multicells: Origin

Among the most important evolutionary events of all time are the origins of eukaryotic cells and of multicellularity. Both the evolution of eukaryotes and the origins of multicellularity (convergently evolved in numerous taxa) can be studied using insights from both palaeontology and molecular biology. 
 
 
Keywords: 
 
archaea; 
endosymbiosis; 
acritarchs; 
metazoa; 
algae
Not invented here? Check your history

The operations of the US Army Corps of Engineers' Manhattan Project, started on September 17, 1942, are examined as an example of US success in R&D.<<ETX>>
Mechanical properties and microstructure of Ti5Si3 based composites prepared by combination of MASHS and SPS in Ti-Si-Ni and Ti-Si-Ni-C systems

Abstract Mechanical properties, synthesis behavior, microstructure and oxidation resistance of Ti 5 Si 3 -based composites prepared by combination of mechanically activated self-propagating high-temperature synthesis (MASHS) and spark plasma sintering (SPS) in Ti-Si-Ni and Ti-Si-Ni-C systems were investigated. Ti 5 Si 3 -Ti 2 Ni composite was synthesized in Ti-Si-Ni system while Ti 5 Si 3 -TiC-Ti 2 Ni was formed in the Ti-Si-Ni-C. Microstructural analyses showed that Ni and C extensively distributed in Ti 5 Si 3 phase and formed interstitial and substitutional solid solution titanium silicide. The activation energy values of 126 and 135 kJ/mol were calculated for initiation of combustion reaction in Ti-Si-Ni and Ti-Si-Ni-C systems, respectively. The isothermal oxidation behavior of the samples in air atmosphere was studied by TGA analysis and near the same oxidation resistance was detected. The fracture toughness of fabricated composites in Ti-Si-Ni and Ti-Si-Ni-C systems reached to 5 ± 0.1 and 6.1 ± 0.12 MPam 1/2 , respectively. The higher fracture toughness in Ti-Si-Ni-C system is related to the uniform distribution of TiC in the composite.
BiCoS: A Bi-level co-segmentation method for image classification

The objective of this paper is the unsupervised segmentation of image training sets into foreground and background in order to improve image classification performance. To this end we introduce a new scalable, alternation-based algorithm for co-segmentation, BiCoS, which is simpler than many of its predecessors, and yet has superior performance on standard benchmark image datasets.
Graph database benchmarking on cloud environments with XGDBench

Online graph database service providers have started migrating their operations to public clouds due to the increasing demand for low-cost, ubiquitous graph data storage and analysis. However, there is little support available for benchmarking graph database systems in cloud environments. We describe XGDBench which is a graph database benchmarking platform for cloud computing systems. XGDBench has been designed with the aim of creating an extensible platform for graph database benchmarking which makes it suitable for benchmarking future HPC systems. We extend the Yahoo! Cloud Serving Benchmark (YCSB) to the area of graph database benchmarking by creation of XGDBench. The benchmarking platform is written in X10 which is a PGAS language intended for programming future HPC systems. We describe the architecture of the XGDBench and explain how it differs from the current state-of-the-art. We conduct performance evaluation of five famous graph data stores AllegroGraph, Fuseki, Neo4j, OrientDB, and Titan using XGDBench on Tsubame 2.0 HPC cloud environment.
Hybrid V2X Communications: Multi-RAT as Enabler for Connected Autonomous Driving

Exploiting the full potential of automated driving systems requires reliable wireless communication enabling network connectivity and cooperation among vehicles. Multiple V2X technologies are addressing the requirements of connected autonomous driving applications. Recent investigations have shown that none of the technologies is flexible and reliable enough to serve the diverse requirements in terms of delay, reliability and throughput under the various circumstances observed by vehicles. Hybrid V2X communications enables the coordination of multiple communication technologies to efficiently adapt to the time-varying channel and road traffic conditions. Further it allows to increase reliability and throughput of transmissions by combining multiple RATs in parallel. This work gives an overview of the potential, challenges and main design aspects of hybrid V2X communications considering the latest technological developments.
Risk management in ERP project introduction: Review of the literature

In recent years ERP systems have received much attention. However, ERP projects have often been found to be complex and risky to implement in business enterprises. The organizational relevance and risk of ERP projects make it important for organizations to focus on ways to make ERP implementation successful. We collected and analyzed a number of key articles discussing and analyzing ERP implementation. The different approaches taken in the literature were compared from a risk management point of view to highlight the key risk factors and their impact on project success. Literature was further classified in order to address and analyze each risk factor and its relevance during the stages of the ERP project life cycle. # 2007 Elsevier B.V. All rights reserved.
Growth, systemic safety, and efficacy during 1 year of asthma treatment with different beclomethasone dipropionate formulations: an open-label, randomized comparison of extrafine and conventional aerosols in children.

OBJECTIVE
To assess the long-term safety of hydrofluoroalkane 134a (HFA)-beclomethasone dipropionate (BDP) extrafine aerosol administered by the Autohaler compared with chlorofluorocarbon (CFC)-BDP administered by a press-and-breathe metered-dose inhaler (pMDI) and spacer (+S) in the treatment of children with asthma.


METHODS
This 12-month, open-label, randomized, multicenter study enrolled 300 children who were aged 5 to 11 years and had well-controlled asthma on inhaled CFC-BDP or budesonide; 256 patients were using doses within the recommended range (200-400 microg) and were analyzed separately. Patients were randomized in a 1:3 ratio to continue on CFC-BDP+S at approximately the same dose as they were using before study entry or switch to HFA-BDP at half the daily dose.


RESULTS
Asthma control was well maintained in the HFA-BDP group as evidenced by lung function tests and asthma symptoms compared with CFC-BDP+S at approximately twice the dose. There were no significant differences between the HFA-BDP 100 to 200 microg and CFC-BDP+S 200 to 400 microg treatment groups in mean change from baseline in height (5.23 cm vs 5.66 cm at month 12, respectively) or mean growth velocity from day 1 to month 12 (5.27 cm/y vs 5.71 cm/y, respectively). There were no significant differences between groups in adrenal function tests or markers of bone metabolism.


CONCLUSIONS
In this long-term study in children with asthma, extrafine HFA-BDP provided long-term maintenance of asthma control at approximately half the dose compared with CFC-BDP+S. There were no clinically meaningful differences between HFA-BDP extrafine aerosol and conventional CFC-BDP+S with regard to growth or other systemic effects.
A public key cryptosystem and a signature scheme based on discrete logarithms

A new signature scheme is proposed, together with an implementation of the Diffie-Hellman key distribution scheme that achieves a public key cryptosystem. The security of both systems relies on the difficulty of computing discrete logarithms over finite fields.
Responses to dynamic head-and-body tilts are enhanced in Parkinson's disease.

BACKGROUND
Previous studies demonstrated that destabilizing responses to slow perturbations were enhanced in patients with Parkinson's disease (PD). Our objectives were to investigate the influence of PD on responses to faster whole head-and-body tilts in the standing position, and to establish whether any modification of tilt-evoked responses in PD patients was related to possible changes in the modulation of soleus (SO) H-reflex.


METHODS
Ten PD patients and 10 age-matched normal subjects assumed a standing position on an L-shaped tilting apparatus. Their head and shoulders were firmly attached to the back support of the apparatus, while their feet were fixated to the standing platform. With their vision occluded, the subjects's whole head-and-body was suddenly tilted forward to 20 degrees, at a peak head acceleration of 0.7 g +/- 0.1 g. Tilt-evoked responses were recorded from the lower limb muscles bilaterally. In addition, 40 H-reflexes were elicited in the SO muscle at 30-190 ms intervals after the onset of head acceleration. The M response amplitude was kept within +/- 15% of its control value.


RESULTS
PD patients demonstrated an abnormally high responsiveness to whole head-and-body tilts in comparison with age-matched normal subjects. This was shown by the significantly larger proportion of PD patients manifesting responses in the SO, biceps femoris and vastus lateralis muscles (p < 0.05), as well as their significantly larger SO response area (413%; p < 0.01). In contrast, the amplitude of the SO H-reflex was significantly increased by only 14% (p < 0.05) in these patients, and only at 30-70 ms after head acceleration onset.


CONCLUSIONS
The overexcitable tilt-evoked responses of PD patients could originate from a reduced ability to suppress responses when the body is supported. This enhanced excitability of tilt-evoked responses was probably not due to motoneuronal hyperexcitability or decreased presynaptic inhibition of the group Ia terminals involved in the mainly monosynaptic H-reflex pathway. Thus, we hypothesize that the control of spinal interneurons involved in the tilt-evoked responses may be defective in PD.
Relationship between osseointegration and superelastic biomechanics in porous NiTi scaffolds.

The superelastic nature of bones requires matching biomechanical properties from the ideal artificial biomedical implants in order to provide smooth load transfer and foster the growth of new bone tissues. In this work, we determine the biomechanical characteristics of porous NiTi implants and investigate bone ingrowth under actual load-bearing conditions in vivo. In this systematic and comparative study, porous NiTi, porous Ti, dense NiTi, and dense Ti are implanted into 5 mm diameter holes in the distal part of the femur/tibia of rabbits for 15 weeks. The bone ingrowth and interfacial bonding strength are evaluated by histological analysis and push-out test. The porous NiTi materials bond very well to newly formed bone tissues and the highest average strength of 357 N and best ductility are achieved from the porous NiTi materials. The bonding curve obtained from the NiTi scaffold shows similar superelasticity as natural bones with a deflection of 0.30-0.85 mm thus shielding new bone tissues from large load stress. This is believed to be the reason why new bone tissues can penetrate deeply into the porous NiTi scaffold compared to the one made of porous Ti. Histological analysis reveals that new bone tissues adhere and grow well on the external surfaces as well as exposed areas on the inner pores of the NiTi scaffold. The in vitro study indicates that the surface chemical composition and topography of the porous structure leads to good cytocompatibility. Consequently, osteoblasts proliferate smoothly on the entire implant including the flat surface, embossed region, exposed area of the pores, and interconnected channels. In conjunction with the good cytocompatibility, the superelastic biomechanical properties of the porous NiTi scaffold bodes well for fast formation and ingrowth of new bones, and porous NiTi scaffolds are thus suitable for clinical applications under load-bearing conditions.
Ant clustering algorithm with K-harmonic means clustering

Clustering is an unsupervised learning procedure and there is no a prior knowledge of data distribution. It organizes a set of objects/data into similar groups called clusters, and the objects within one cluster are highly similar and dissimilar with the objects in other clusters. The classic K-means algorithm (KM) is the most popular clustering algorithm for its easy implementation and fast working. But KM is very sensitive to initialization, the better centers we choose, the better results we get. Also, it is easily trapped in local optimal. The K-harmonic means algorithm (KHM) is less sensitive to the initialization than the KM algorithm. The Ant clustering algorithm (ACA) can avoid trapping in local optimal solution. In this paper, we will propose a new clustering algorithm using the Ant clustering algorithm with K-harmonic means clustering (ACAKHM). The experiment results on three well-known data sets like Iris and two other artificial data sets indicate the superiority of the ACAKHM algorithm. At last the performance of the ACAKHM algorithm is compared with the ACA and the KHM algorithm. 2010 Elsevier Ltd. All rights reserved.
Virtual Simulation of a Boost Field in Adjuvant Radiotherapy of the Breast

In CT-based adjuvant radiotherapy of the breast, virtual simulation techniques have been developed. This paper demonstrates a simple virtual simulation of a boost field. 41 fields were planned virtually, 26 as electron beams, 15 as tangential photon beams. Depending on the user’s expertise the geometric accuracy was high; possible sources of error are illustrated. Resulting field sizes tended to be slightly larger compared to conventional simulation when applying the same rules of field definition. Differences in focus-skin distances with consecutive divergence effects as well as partial volume effects were discussed to be causal. Virtual simulation of a boost field has the potential to elegantly link the simplicity of a conventional simulation with the accurate tumor bed identification provided by a CT data set. It was shown to be feasible and favorable with regard to the patient, the medical staff, and the simulator time. Moreover, it offers a visualization of dose distributions, which was found helpful in some cases. Für die CT-geplante adjuvante Strahlentherapie der Brust sind Techniken der virtuellen Simulation entwickelt worden. In dieser Arbeit wird eine einfache virtuelle Simulation eines Boostfeldes demonstriert. 41 Felder wurden virtuell geplant, 26 als Elektronenfelder, 15 als tangentiale Photonenfelder (Abbildung 1). Für erfahrene Anwender war die geometrische Genauigkeit hoch; mögliche Fehlerquellen werden illustriert. Tendenziell waren die resultierenden Felder etwas größer als bei konventioneller Simulation, wenn die gleichen Felddefinitionsregeln angewandt wurden (Tabelle 1). Differierende Fokus-Haut-Abstände mit konsekutiven Divergenzeffekten und Teilvolumeneffekte waren als ursächlich zu diskutieren. Die virtuelle Simulation eines Boostfeldes hat das Potential, die einfache Technik einer konventionellen Simulation mit der Genauigkeit der Tumorbettidentifizierung im CT-Datensatz elegant zu verbinden. Sie erwies sich als einfach zu handhaben und zeitsparend für die Patientin, das beteiligte medizinische Personal sowie die Simulatornutzung (Tabelle 2). Darüber hinaus ermöglichte sie eine Visualisierung der Dosisverteilung, die in einigen Fällen als hilfreich empfunden wurde (Abbildung 2).
Effect of wheat grass juice in supportive care of terminally ill cancer patients- A tertiary cancer centre experience from India.

8634 Background: The solid content of juice made from wheat grass is 70% chlorophyll. Chlorophyll is often referred to as "The blood of plant life" and has almost the same chemical structure as haemoglobin. Chlorophyll cleanses the blood by improving the supply of oxygen to the circulatory system. Wheat grass is also a complete protein with about 30 enzymes, vitamins & minerals. Wheat grass juice has been proven over many years to benefit people in numerous ways, building the blood, restoring balance in the body, removing toxic metals from the cells, nourishing the liver & kidneys and restoring vitality. The aim of our study was to see the effect of wheat grass juice in terminally ill cancer patients to improve the quality of life.


METHODS
During period from January 2003 to December 2005 we selected 400 solid organ cancer patients in our palliative care unit of Netaji Subhash Chandra Bose Cancer Research Institute to see the effect of wheat grass on improvement of haemoglobin level, serum protein & performance status on terminally ill cancer patients. The age range of the patients was 22 year to 87 year (median age 42 years). The different types of cancers were Lung (25%), Breast (20%), Oesophagaus (11%), Colon (9%), Ovary (8%), Hepatocellular carcinoma (6%), Stomach (6%) and others (15%) respectively. We cultivated wheat grass in our campus. When the grasses were 5 days old we took the fresh leaves including roots and made fresh juice out of that and had given 30ml of juice to all our 400 cancer patients for continuous 6 months.


RESULT
The mean levels of haemoglobin, Serum total protein, albumin and performance status were 8gm%, 5.4gm%, 2.2gm% and 50%. Fifty patients required transfusion support & those patients were excluded from the study. Other 348 patients are evaluated 6 months after giving wheat grass juice. The mean values for haemoglobin, total protein & albumin were improved significantly (pvalue < .005) and were observed mean of 9.6gm%, 7.4gm% and 3.1gm%. White blood cell & platelet count were same in both the cases. The performance status was improved from 50% to 70% (Karnofsky) after wheat grass treatment.


CONCLUSION
We concluded that wheat grass juice is an effective alternative of blood transfusion. Its use in terminally ill cancer patients should be encouraged. No significant financial relationships to disclose.
Fingerprint recognition system for low quality images

Fingerprints are widely used in biometric techniques for automatic personal identification. In this paper, a fingerprint recognition system is developed to identify a person according to fingerprint image on Myanmar National Registration Cards (NRCs). It can be acquired only the low quality fingerprint image from NRC card. Generally, fingerprint identification approaches are minutiae-based and correlation-based. Although the minutiae-based method is popular and extensively used method for fingerprint identification, it shows poor performance for low quality images. In proposed system, the correlation-based approach for fingerprint recognition is developed by calculating the mean value of correlation factors. The mean value of correlation factors of input image and template image are computed and compared. If it is over a certain threshold the result of the matching process is positive otherwise negative. Before calculating correlation factor, fingerprint enhancement algorithm using gabor filters are applied for good ridge line feature extraction. Therefore, the proposed system can identify not only on the good quality fingerprint but also on the bad or poor quality fingerprint. The effectiveness of the proposed system can be confirmed through the experimental results.
Evidence for a Clathrin-independent mode of endocytosis at a continuously active sensory synapse

Synaptic vesicle exocytosis at chemical synapses is followed by compensatory endocytosis. Multiple pathways including Clathrin-mediated retrieval of single vesicles, bulk retrieval of large cisternae, and kiss-and-run retrieval have been reported to contribute to vesicle recycling. Particularly at the continuously active ribbon synapses of retinal photoreceptor and bipolar cells, compensatory endocytosis plays an essential role to provide ongoing vesicle supply. Yet, little is known about the mechanisms that contribute to endocytosis at these highly complex synapses. To identify possible specializations in ribbon synaptic endocytosis during different states of activity, we exposed mice to controlled lighting conditions and compared the distribution of endocytotic proteins at rod and cone photoreceptor, and ON bipolar cell ribbon synapses with light and electron microscopy. In mouse ON bipolar cell terminals, Clathrin-mediated endocytosis seemed to be the dominant mode of endocytosis at all adaptation states analyzed. In contrast, in mouse photoreceptor terminals in addition to Clathrin-coated pits, clusters of membranously connected electron-dense vesicles appeared during prolonged darkness. These clusters labeled for Dynamin3, Endophilin1, and Synaptojanin1, but not for AP180, Clathrin LC, and hsc70. We hypothesize that rod and cone photoreceptors possess an additional Clathrin-independent mode of vesicle retrieval supporting the continuous synaptic vesicle supply during prolonged high activity.