Miracle-dz/UniFAR-FTUs huggingface dataset:
Vergleich verschiedener mechanischer Hustenhilfen durch Messung der exspiratorischen Spitzenflüsse

Zusammenfassung Fragestellung Die Sekretelimination mit maschinellen Hustenhilfen ist bei muskulärer Hustenschwäche etabliert. Im praktischen Einsatz verschiedener Geräte gibt es Leistungsunterschiede. Ziel dieser Arbeit ist, exspiratorische Flussraten verschiedener Geräte mit und ohne Zubehör zu vergleichen. Methode Die exspiratorischen Flüsse von zehn Hustenhilfen wurden am Geräteausgang und mit in der Praxis eingesetztem Zubehör in vitro untersucht. Ergebnisse Die Leistung verschiedener Geräte unterscheidet sich signifikant. Die Verwendung von Zubehör ergab weitere signifikante Flussreduktionen, bei Einsatz von zwei Filtern gegenüber einem um 13 %, bei Einsatz einer geraden Gurgel um 10 %, einer abgewinkelten Gurgel um weitere 15 %. Beim Einsatz eines 1800 mm Schlauchs, einer abgewinkelten Gurgel und eines Filters zeigte sich im exspiratorischen Spitzenfluss zwischen den Geräten Nippy (2,86 l/s) und Pulsar (1,2 l/s) ein Abfall der Werte um 58 % bei letzterem Gerät. Schlussfolgerung Die Auswahl der Geräte und des Zubehörs hat Einfluss auf die exspiratorischen Flüsse. In vitro zeigen sich signifikante Unterschiede der Leistungen verschiedener Geräte mit und ohne Equipment, die für den therapeutischen Einsatz wichtig sein können. Weitere Untersuchungen zur klinischen Relevanz und Empfehlungen für die praktische Anwendung sind notwendig, um die effektive Elimination von Sekreten sicherzustellen.
Surgical Site Infection and Colorectal Surgical Procedures: A Prospective Analysis of Risk Factors.

BACKGROUND Colorectal surgical procedures (CRS) are associated with the highest surgical site infection (SSI) rate among elective operations. A wide range of patient and surgical characteristics have been identified as risk factors for SSI. Most studies are limited by reliance on retrospective data or subset analysis of data that includes CRS. This study reflects analysis of SSI risk factors using prospectively collected data in an elective CRS population. PATIENTS AND METHODS We analyzed data prospectively collected as part of a randomized, blinded trial of skin anti-sepsis in elective CRS to identify risk factors associated with SSI, including superficial or deep SSI or cellulitis within 30 days post-discharge. Photodocumentation, patient questionnaires, and blinded review by an attending surgeon were used to identify SSI. Multi-variable logistic regression was used to identify factors significantly associated with SSI and to calculate predicted risks of SSI. RESULTS From 2011 to 2015, 787 patients undergoing clean-contaminated procedures by colorectal surgeons were analyzed as part of a randomized clinical trial. The overall SSI rate was 21.5%. Four variables-incision length, surgical indication, body mass index, and surgical approach-were significantly associated with SSI. Based on these four variables, the predicted risk of SSI ranges from <5% to >60%. CONCLUSION This study represents the largest prospective investigation of SSI in elective CRS. There is a very wide range of SSI risk after CRS based on both modifiable and non-modifiable factors. Identification of those at the extreme ends of risk may help us both identify and mitigate contributors to infection.
Exciting results with injection darbepoietin alfa and pegfilgrastim in patients with decompensated liver cirrhosis

1.1. Introduction: Dysregulated erythropoietin (EPO) plasma levels may play a role in the patho physiology of liver cirrhosis. No report of Darbepoetin alpha and Pegylated Filgrastim use in Liver cirrhosis. 1.2. Aims and methods:To study the benefits of Darbepoetin and Pegfilgrastim in patients with de-compensated liver cirrhosis. Prospectively clinical data recorded since October 2014. Patients with active bleed, hepato renal syndrome, hepatoma, portal vessel thrombosis were excluded. Patients started on Injection Darbepoetin alpha 200 microgram and Injection Pegfilgrastim 6 mg subcutaneously every 15 days, total three visits of patients, then three month follow up planned. Improvement in clinical, laboratory parameters analyzed. Median calculated, Wilcoxon Signed-Rank Test applied to compare both groups. 1.3. Results and discussion:N=22 all male, 3 lost to follow up, aetiology of cirrhosis were Non-alcoholic Fatty Liver Disease 5, Hepatitis B Virus 3, Hepatitis C Virus 2 and Alcohol 12. Median age 59 years (range: 40 to 70). Improvement in Haemoglobin from 10.1 gram% (range 5.9-13.4 gm%) to 10.6 gm % (range: 7.5-13.7 gm%) p value 0.00374, Total leukocyte count from 5100/cu mm to 7100/cu mm p value 0.00214, Platelet count 90,000/cu mm to 146,000/cu mm, p value 0.00096, INR 1.7 (range 1.5-4.8) to 1.4 p value 0.00064, Albumin 2.4 gram/dl (range 1.6-2.9) to 2.5 gm/dl (range 1.8-3.5) P value 0.043, Child score from 10 to 8 P value 0.007, ascites score 2 to 1, P value 0.00222. No significant improvement in Serum creatinine, sodium, potassium, calcium, bilirubin, total protein and hepatic encephalopathy. High cost of medicine was the limiting factor. 1.4. Conclusion:Our study suggests that Darbepoetin Alpha and Pegfilgrastim is significantly effective in improving hematology, International normalized ratio, Albumin, ascites and Child score of liver cirrhosis patients.
A Scalable Method of Propagating Event Messages Throughout A Vera Testbench

Managing the flow of event messages between disparate classes of a testbench (RTL monitors, BFMs, simulation control classes) is a complex pro- cess, and one that can prove impossible if left until late in the design cycle. While ad hoc communication interfaces are simple enough to develop between classes, problems arise when classes that were not designed to communicate with each other suddenly have to. This paper presents a scalable method for propagating both blocking and nonblocking event messages throughout a test- bench. The technique is based on a software Design Pattern solution, called the Observer, to which modifications have been made. Although Vera imple- mentation details are provided, including several techniques to work around current Vera limitations, the technique is applicable to other object-oriented verification languages.
High Protein for All is it Currently a State of Art in Critical Care Nutrition

Proteins and amino acids are widely considered to be subcomponents in nutritional support. However, they are fundamental to recovery and survival, not only for their ability to preserve active tissue (protein) mass but also for a variety of other functions. Although the body adapts in some ways to starvation, metabolic stress in patients causes increased protein turnover and loss of lean body mass.
Study on Cloud Computing Security

Cloud Computing is the fundamental change happening in the field of Information Technology. It is a representation of a movement towards the intensive, large scale specialization. On the other hand, it brings about not only convenience and efficiency problems, but also great challenges in the field of data security and privacy protection. Currently, security has been regarded as one of the greatest problems in the development of Cloud Computing. This paper describes the great requirements in Cloud Computing, security key technology, standard and regulation etc., and provides a Cloud Computing security framework. This paper argues that the changes in the above aspects will result in a technical revolution in the field of information security.
Registration Algorithm for Three-Dimensional Point Cloud Data

The principle of registration of the 3D point cloud data and the current algorithms are compared, and ICP algorithm is chosen since its fast convergence speed, high precision, and simple objective function. On the basis of ICP algorithm, singular value decomposition and four-array method are analysed by programming program, and all the mathematical algorithms is transformed into programming language by Matlab software.
An Evaluation of Flow Shop Sequencing Heuristics

This paper presents computational experience with eleven flow shop sequencing heuristics. Included in the study are three previously unreported heuristics, one of which turns out to be superior to the other ten heuristics tested. The comparisons were made on a variety of problem sizes, up to fifty jobs and fifty operations.
Algorithm for an Efficient Material Requirements Planning of Consumable Supplies Results of an Empirical Analysis of German Supply Data

The present paper aims at describing a standardized algorithm, with which the consumption of tie-in products can be forecasted with different quantitative forecasting techniques. Among the techniques are AR-, MA-, ARMA-, ARIMA- and structural regression models. By means of algorithmic procedures, an optimal forecasting model of performance criteria will be evaluated, which will be used for requirements planning. For all determined forecasting horizons, the ARIMA-model proved to be the best model followed by simple Moving Average models. The importance of autoregressive procedures decreases with the length of the forecasting horizon. Structural approaches seldom prove to be the best forecasting models, even if the importance of these increase according to the length of the forecasting period. The algorithm allows for a considerable part of tie-in products a good forecasting quality. Considering elaborated premises the algorithmic procedure simplifies the forecast of the outflow of goods for a considerable part of consumable supplies.
Scheduling and Production Planning Problems

We present an application of an Adaptive Large Neighborhood Search (ALNS) algorithm to the Resource-Constrained Project Scheduling Problem (RCPSP). The ALNS framework was first proposed by Pisinger and Ropke (2007) and can be described as a large neighborhood search algorithm with an adaptive layer, where a set of destroy/repair neighborhoods compete to modify the current solution in each iteration of the algorithm. Experiments are performed on the well-known J30, J60 and J120 benchmark instances, which show that the proposed algorithm is competitive and confirms the strength of the ALNS framework previously reported for different variants of the Vehicle Routing Problem.
SOLVING THE ASSOCIATED WEAKNESS OF BIOGEOGRAPHY-BASED OPTIMIZATION ALGORITHM

Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and is based on an old theory of island biogeography that explains the geographical distribution of biological organisms. BBO was introduced in 2008 and then a lot of modifications and hybridizations were employed to enhance its performance. The researchers found that the original version of BBO has some weakness on its exploration. This paper tries to solve the root problems itself instead of solving its effect by using different techniques. It proposes two modifications; firstly, modifying the probabilistic selection process of the migration and mutation stages to give a fairly randomized selection for all the features of the islands. Secondly, the clear duplication process, which is located after the mutation stage, is sized to avoid any corruption on the suitability index variables of the non-mutated islands. The proposed modifications are extensively tested on 120 test functions with different dimensions and complexities. The results proved that the BBO performance can be enhanced effectively without embedding any additional sub-algorithm, and without using any complicated form of the immigration and emigration rates. In addition, the new BBO algorithm requires less CPU time and becomes even faster than the original simplified partial migration-based BBO. These essential modifications have to be considered as an initial step for any other modifications.
Design and Analysis of a Low Power High Speed 1 Bit Full Adder Cell Based On TSPC Logic with Multi-Threshold CMOS

— An adder is one of the most integral component of a digital system like a digital signal processor or a microprocessor. Being an extremely computationally intensive part of a system, the optimization for speed and power consumption of the adder is of prime importance. In this paper we have designed a 1 bit full adder cell based on dynamic TSPC logic to achieve high speed operation. A high threshold voltage sleep transistor is used to reduce the static power dissipation in standby mode. The circuit is designed simulated in TSPICE using TSMC 180nm CMOS process. Average power consumption, delay and power-delay product is measured which showed considerable improvement in performance over the existing full adder designs.
Retrospective analysis of epsilon-amino-caproic acid (EACA) Therapy in patients with hypoproliferative thrombocytopenia

Bleeding remains a significant problem in patients with hypoproliferative thrombocytopenia due to chemotherapy, radiation induced marrow aplasia and/or hematopoietic stem cell transplantation (HSCT). Prolonged periods of thrombocytopenia in these patients may require ongoing extensive platelet transfusion support. However, despite platelet transfusion therapy, three large randomized trials that closely monitored bleeding rates in patients with hematologic malignancies have demonstrated that the incidence of WHO Grade 2 or higher bleeding1 remains high at 43% to 71%. 2–4 Bleeding rates did not appear to be improved by either increasing the platelet dose per transfusion or by increasing the prophylactic platelet transfusion threshold above 10,000 platelets/μl,2,5,6 suggesting that factors other than thrombocytopenia may be contributing to these patients’ bleeding. Clearly, other approaches to prevent and treat bleeding in thrombocytopenic patients are needed. Epsilon amino-caproic acid (EACA) is a lysine analogue that competitively inhibits plasminogen activation and acts as a non-competitive inhibitor of plasmin at high concentrations.7 Inhibitors of fibrinolysis have been used for years to prevent and treat bleeding intraand post-operatively.8 Fibrinolytic inhibitors have also been effective in the control of bleeding in patients with platelet function9 and coagulation defects.10 To date, there have been only a few reports of EACA administration in a small number of thrombocytopenic patients.11–14 These reports have been encouraging, with improvements in prevention and control of bleeding, but the efficacy and safety of EACA in this setting remains uncertain. We report here our retrospective analysis of the use of EACA therapy in thrombocytopenic patients undergoing chemotherapy and/or HSCT to evaluate its effects on bleeding, transfusion requirements and safety.
On-line print-defect detecting in an incremental subspace learning framework

Real-time detecting print-defect system is significant for automatically quality control in printing industry. The state-of-the-art detecting algorithms are based on conventional template matching process and usually suffer from false alarm caused by acceptable variations. This paper proposes a novel on-line print-defect detecting approach which uses incremental principal component analysis to model a variety pattern with respect to the detected image itself. The algorithm is constructed and deployed to a real-time detecting print-defect system, and the test results show that the system reduces false alarm dramatically.
Text Normalization for Telugu Text-to-Speech Synthesis

Most areas related to language and speech technology, directly or indirectly, require handling of unrestricted text, and Text-to-speech systems directly need to work on real text. To build a natural sounding speech synthesis system, it is essential that the text processing component produce an appropriate sequence of phonemic units corresponding to an arbitrary input text. A novel approach is used, where the input text is tokenized, and classification is done based on token type. The token sense disambiguation is achieved by the semantic nature of the language and then the expansion rules are applied to get the normalized text. However, for Telugu language not much work is done on text normalization. In this paper we discuss our efforts for designing a rule based system to achieve text normalization in the context of building Telugu text-to-speech system.
Mapping graphene science and development: Focused research with multiple application areas

EDITOR'S SUMMARY Focusing on graphene, a material made from carbon atoms, researchers constructed a map illustrating the material in the context of scientific developments and patent activity over time. Two basemaps reflecting general science and patent activity were created, in addition to two overlay maps reflecting scientific publication and patenting activities specific to graphene. The science and patent overlay maps together display how the material was discovered and used between 2000 and 2013. The maps reveal 222 Web of Science categories and 466 International Patent Classification categories and identify 18 macro-disciplines and 35 macro-patent categories. Graphene research is shown to focus on material sciences and closely related fields such as engineering and physical chemistry, while graphene inventions cover technologies from catalysis and semiconductors to the pharmaceutical arena. The node size, density of relationships and colors of the map give additional information on research and development efforts and relationships among subset topics. The process employed text mining, visualization and graphics software tools in addition to a mapping kit available from the authors.
Channel assignment in cellular radio networks

The authors investigate algorithms based on simulated annealing to solve the channel assignment problem for cellular radio networks. The blocking probability of a network is chosen as the optimization criterion. In order to check the quality of the solutions obtained by simulated annealing, they examine some special types of networks which allow an effective calculation of optimal solutions by tailored algorithms. Their investigations show that simulated annealing is a very powerful tool for solving channel assignment problems. >
The Effect of Online Text Vowelization of Homographs in Context on Reading Comprehension among L1 and L2 Hebrew Speakers (Poster)

The rapid growth in present-day communication technologies has led to an accelerated shift in reading habits, from print to digital-online. Contemporary research findings indicate that the existence of elements such as scrolling and hypertext make online reading problematic for most readers (Shneiderman, 1998). Therefore, improving online readability and accessibility to information is of great importance, particularly (1) in deep orthography languages, which often lack correspondence between letters and sounds (Frost, Katz & Bentin, 1987); (2) in countries where multiple languages are spoken; and (3) for people with reading disabilities. The Hebrew language is an ancient deep-orthography language that uses a punctuation system (diacritical marks) which provides vowel information to improve readability and comprehension, especially for low-frequency words, borrowed words, and words that are ambiguous without vowels (the same sequence of letters produces two different pronunciations and meanings). Vowelization is most important for children at the early stages of learning Hebrew, for non-native Hebrew speakers, for individuals with reading difficulties and when people read under time constraints. The literature contains ambiguous information about the effect of vowelization on readability, and the question is still open as to under what circumstances vowelization facilitates reading. The present study examines the effect of online text vowelization of Hebrew words in context on reading among native Hebrew speakers and speakers of Hebrew as a second language. The study focuses on homographs – words that have more than one meaning in their unvoweled version. Our hypothesis was that for non-native Hebrew speakers, vowels will shorten reading latencies, especially in the case of low frequency words at the beginning of sentences (no context information). Participants were 44 students at the Open University of Israel divided into two groups: 32 native Hebrew speakers and 12 speakers of Hebrew as a second language. The participants filled out a demographic questionnaire and performed a self-paced computerized reading task – a noncumulative presentation task (Marinis, 2003) using E-Prime professional software to present the stimuli. The design included 2 (voweled/nonvoweled) X 2 (homographs/unambiguous words) X 2 (location of words: beginning of sentence/not beginning of sentence) X 2 (control/experimental sentences). The hypothesis that for non-native Hebrew speakers vowels would shorten reading latencies, especially in the case of low-frequency words at the beginning of sentences (no context information), was not supported; non-vowelized target words were read faster than
Reactive Astrogliosis in Epilepsy -Passive Bystanders no more

Submit Manuscript | http://medcraveonline.com potential proand anti-epileptogenic effects [1,2]. Given that epilepsy can be associated with neurodegeneration, mossy fiber sprouting and changes in receptor and neurotransmitter function, examining the specific role of reactive astrogliosis in epilepsy has been fraught with difficulties. Previously, a transgenic mouse line was generated [3] where deletion of β1-integrin preferentially in radial glia caused reactive astrogliosis marked by hypertrophy and upregulation of astrocyte-specific markers. Using this transgenic mouse line, in the current Journal of Neuroscience study [4], the authors examined whether reactive astrogliosis by itself was sufficient to cause epilepsy, and what the underlying mechanisms would be.
An Exploration Tool for Formal Proofs

Proof assistants aid the user in proving mathematical theorems by taking care of low-level reasoning details. Their user interfaces often present proof information as text, which becomes increasingly dicult to comprehend as it grows in size. Panoptes is a software tool that enables users to explore graphical representations of the formal proofs produced by the imps Interactive Mathematical Proof System. Panoptes automatically displays an imps deduction graph as a visual graph that can be easily manipulated by the user. Its facilities include target zooming, oating information boxes, node relabeling, and proper substructure collapsing.