Miracle-dz/UniFAR-FTUs huggingface dataset:
H1N1 Swine Flu: The Clinico-epidemiological Surveillance in Sangli district of Western Maharashtra, India

BACKGROUND: Influenza continues to be a significant cause of morbidity and mortality globally. Genetic re-assortments in the virus can cause fast and unpredictable changes leading to recurrent epidemics of febrile respiratory disease. Surveillance is the foundation of all efforts to understand and control influenza. Effective case detection and treatment as per WHO guidelines is necessary to reduce the mortality from influenza. OBJECTIVES: To find the proportion of swine flu “cases” in relation to total suspected cases in one calendar year and to study their clinico-demographic profile. METHODOLOGY: A Cross-sectional study was carried out in 4 centers, identified as per Govt. guidelines for screening, diagnosis and management of H1N1 cases in 1 year period (Oct’2009 to Sept’2010). Information was collected using predesigned proforma from 100% “suspects” of Influenza A admitted to isolation wards, after duly informing the patients. RESULTS: Out of total 466 “suspects”, 142 (30.47%) were found to be positive. M:F ratio of cases was 1.3:1. Maximum cases (47.18%) were reported between >20 – 40 years of age group. 105 cases (73.94%) were reported from Sangli district and 94 cases (66.20%) were residing in rural area with most of them being admitted in the month Aug’2010 i.e. 229 (49.14%). Maximum deaths 25 (75%) occurred during monsoon. The most common symptom observed was cough in 107 cases (75.4%). 108 (76.06%) cases had no associated morbidity. The most common co- morbidity was diabetes with hypertension, observed in 12 cases (8.45%). CONCLUSION: Early case detection can reduce the burden of disease, so the health system should be strengthened and voluntary early reporting of cases should be encouraged through
Simulator of a Full Fetal Electrocardiogram Measurement Chain by Multichannel Capacitive Sensing

Long-term ambulatory monitoring of the fetal heart rate (fHR) can greatly increase insight into fetal well-being and reduce pregnancy risks. Unfortunately, the existing solutions using wet or dry electrodes are unsuitable for long-term fHR monitoring due to the use of a gel or direct skin contact. Capacitive electrodes can measure an electrocardiographic (ECG) signal through clothes and, therefore, are perfectly suitable for long-term monitoring of the fHR. However, capacitive fetal ECG (fECG) measurements are challenging due to the high sensitivity of capacitive sensors to motion artifacts (MAs) and the low amplitude of the fECG. This article aims at investigating the feasibility of fECG measurements using capacitive electrodes with dedicated postprocessing algorithms for signal-to-noise ratio (SNR) improvement and MA reduction. To this end, a novel simulator of the full measurement chain is realized that generates multichannel capacitive fECG data with artificial MAs and system noise. A dedicated blind source separation (BSS) algorithm is then employed for MA removal and fECG extraction. The extracted fECG is evaluated by SNR calculation and R-peak detection. Our results show that the BSS algorithm may extract the fECG signal from noisy capacitive data. In addition, lower system noise or higher number of channels may lead to better fECG extraction. A maximum increase of 0.5 dB in the SNR and decrease of 80.7 % in the R-peak detection error are observed with increased electrode number from 8 to 20. Our findings provide useful insights for the hardware design of a capacitive fECG measurement system.
Confinement of rectangular columns made with engineered cementitious composites (ECC)

Engineered cementitious composites (ECC) is a type of high-performance fiber-reinforced cementitious composites (HPFRCC) designed to achieve high tensile strain capacity with strain hardening effect during the post-cracking response. Previous studies show that ECC has high damage-tolerance capacity in tension, increasing the durability, safety, and sustainability of structures susceptible to cracking and spalling under moderate to severe loading. Under compression, however, there is a lack of data regarding confinement effects on steel-reinforced ECC (RECC) members. Thus, designing ECC structures is usually done by assuming the ECC behaves in the same way as conventional concrete under compression. With scarce experimental data available, this assumption may be inaccurate, uneconomical, or even unsafe. An experimental test program on confined ECC columns was performed in this study. Sixteen 100 mm × 100 mm × 300 mm ECC square columns, consisting of one set of unconfined ECC and three sets of confined ECC with 1%, 1.5%, and 2% transverse steel content were fabricated and tested under monotonic compressive load until failure. The force–displacement and stress–strain relationships in the longitudinal direction were measured. The results show that confined ECC has a compressive stress–strain behavior similar to that of confined high-strength concrete, with a rapid compressive strength loss after peak strength, and a gradual loss of strength that is inversely proportional to the amount of steel reinforcement. An empirical stress–strain model for rectangularly confined high-strength ECC was developed based on an existing model for high-strength conventional concrete.
A multinational survey of the assessment of pain when removing dressings Richard White

Background: Skin damage caused by repeated application and removal of adhesive dressings can result in trauma to wounds and peri-wound skin. Aims: A multinational survey was undertaken to assess the impact of introducing advanced dressings with Safetac soft silicone adhesive technology on the intensity of wound-related trauma and pain. Methods: A survey of 3,034 patients treated with advanced dressings with traditional adhesives (traditional adhesive-based dressings) was conducted in 20 countries. Patients were asked to record their level of pain before, during and after dressing removal. Wound/peri-wound trauma was also recorded. Dressings with Safetac technology were then applied to their wounds, with the same assessment process repeated at the next dressing change. Results: When used in the place of some traditional adhesive-based dressings, dressings with Safetac technology demonstrably reduced traumatic injuries to wounds and peri-wound skin. They were also associated with significant reductions in the levels of wound-associated pain measured before, during and after dressing change. Conclusions: Advanced dressings with Safetac soft silicone adhesive technology significantly reduced pain during wear, at dressing removal, and after dressing change, when compared with advanced dressings with traditional adhesives. Conflict of interest: This survey was conducted by Molnlycke Health Care. Data analysis was undertaken by Intermetra Business and Market Research Group.
Evaluation of Different Radiotherapy Schedules In Brain Metastases

A bstract : Purpose: We evaluated different fractionation schedules of radiotherapy in brain metastases ; Comparing 20 Gy / 5 fractions, 12 Gy / 2 fractions and 10 Gy in a single fraction with a dose of 30 Gy / 10 fractions whole cranial irradiation (WCI), as regard subjective response and treatment morbidities with quality of life (QOL) assessment . Patients and methods: 200 patients with brain meta stases ( 93 males & 107 females, median age 50 years , range 30 76 years ), Karnofsky performance score (KPS) of ≤ 70, were assigned to 4 arms each arm included 50 patients ; (group A ) who have received 30 Gy /10 fractions; ( 23 males & 27 females, median age 47 years), (group B ) who have received 20 Gy /5 fractions; ( 20 males & 30 females, median age 49 years), (group C ) who have received 12 Gy /2 fractions ; ( 2 6 males & 2 4 females, median age 54 years), (group D ) who have received 10 Gy in single fraction; ( 23 males & 27 females, median age 51 years). Results: All patients were evaluated weekly during treatment and monthly there after , for subjective response, survival, related toxicity and QOL assessment ; whereas 18 patients (36%) in group A, 17 (34%) in group B, 15 (30%) in group C and 13 patients (26%) who complained from moderate to extremely severe symptoms before treatm ent had changed to mild or no symptoms after treatment, without statistical significance between groups , The overall survival was significantly affected by 4 factors; age, KPS, primary tumor control and presence of extracranial metastases (Log rank P - valu e 0.05). Conclusion : Different schedules of short course WCI were quite similar to long course WCI regarding subjective response, survival , toxicity and effect on quality of life for patients with brain metastases. [ Khaled A. Mansour, Alaa Fayed, Mos tafa M. Toom, Abd Almotaleb Mohamad , Muhammad A. Badawy, Nabila Hefzi, Amira E. Muhammad and Wael H. Elsawy . Evaluation of Different Radiotherapy Schedules In Brain Metastases . J Am Sci 2013;9( 12 ): 920 - 926 ]. (ISSN: 1545 - 1003 ). http://www.jofamericanscience. org . 117
Deep LSTM with Reinforcement Learning Layer for Financial Trend Prediction in FX High Frequency Trading Systems

High-frequency trading is a method of intervention on the financial markets that uses sophisticated software tools, and sometimes also hardware, with which to implement high-frequency negotiations, guided by mathematical algorithms, that act on markets for shares, options, bonds, derivative instruments, commodities, and so on. HFT strategies have reached considerable volumes of commercial traffic, so much so that it is estimated that they are responsible for most of the transaction traffic of some stock exchanges, with percentages that, in some cases, exceed 70% of the total. One of the main issues of the HFT systems is the prediction of the medium-short term trend. For this reason, many algorithms have been proposed in literature. The author proposes in this work the use of an algorithm based both on supervised Deep Learning and on a Reinforcement Learning algorithm for forecasting the short-term trend in the currency FOREX (FOReign EXchange) market to maximize the return on investment in an HFT algorithm. With an average accuracy of about 85%, the proposed algorithm is able to predict the medium-short term trend of a currency cross based on the historical trend of this and by means of correlation data with other currency crosses using techniques known in the financial field with the term arbitrage. The final part of the proposed pipeline includes a grid trading engine which, based on the aforementioned trend predictions, will perform high frequency operations in order to maximize profit and minimize drawdown. The trading system has been validated over several financial years and on the EUR/USD cross confirming the high performance in terms of Return of Investment (98.23%) in addition to a reduced drawdown (15.97 %) which confirms its financial sustainability.
Bi‐level optimisation dispatch method for photovoltaic hosting capacity enhancement of distribution buses

Distributed photovoltaic (PV) systems are being gradually integrated into distribution systems with the advantage of economy, environmental protection, and flexibility. Hosting capacity (HC) of a distribution system limited the integration of the PVs. To identify the economic efficiency of HC, two boundaries of HC for distribution buses are proposed considering the technology and economy. Then, new evaluation metrics that can identify the HC region for the PV buses are presented. A bi-level optimisation dispatch method based on iterative particle swarm optimisation for PVHC enhancement is proposed considering the benefits of both distribution network operators and PV owners. At the upper level, a linear power flow-based model is used to determine the economic PVHC and technological PVHC. At the lower level, the objective function of the maximisation of benefits for PV owners is presented. The punishment coefficient of the PVHC region is incorporated into the optimisation dispatch model. Finally, the demonstration is performed on modified PG&E 69-bus and IEEE 123-bus distribution systems. The simulation results show that the proposed bi-level optimisation dispatch method can effectively increase the PVHC margin of distribution buses, and the presented evaluation metrics are of great practical significance in a deregulated environment.
The impact of odour on laundering behaviour: an exploratory study

ABSTRACT Detectable odour within clothing may influence how clothing is washed, leading consumers to make less sustainable choices than those for non-odorous clothing. This study was carried out to begin to explore the impact perceived odour may have on consumers’ laundering practices. Through a questionnaire distributed online it was found that half of the respondents reported changing laundering practices as a result of odour in clothing. Of those who altered their laundering behaviour, respondents were less likely to use cold water and more likely to use hot water to wash odorous clothing compared with how they would wash a typical load of laundry. Approximately one-third of respondents dry odorous clothing differently and were less likely to dry by machine. Therefore, odour build-up in clothing may only play a minor role on sustainable behaviour; but when odour does affect a change it can lead to less sustainable laundering practices.
THE IMPLICATIONS OF TRANSCULTURAL NURSING MODELS IN THE PROVISION OF CULTURALLY COMPETENT CARE

People belonging different cultures may have different kinds of demands in terms of health. It is an essential human right for everyone to express freely their own cultural values. People having different cultural values should be respected in terms of their cultural values and the health care they are to be given should be offered considering this fact. Transcultural nursing models are a good guide for nurses in getting acquainted with the cultural structure of the society and in evaluating it. Leininger and other nurse scholars continue to develop and refine a vast number of cultural theories, models, and assessment guides that are used internationally. Leininger has provided the basic foundation for practice today. Her theory is still to be used, to be tested, to be refined, to be changed, and to be directed in clinical activities by other modelists. Such modelists as Purnell, Campinha-Bacote, Giger and Davidhizar building on Leininger's ideas and taking her theory to new dimensions contributed greatly to the studies in the field of culture/cultural care. The applicability of the theories put thirty by Purnell, Campinha-Bacote, Giger and Davidhizar is discussed below. According to the author, the reason why these models were selected is that their theories are extremely plain, comprehensible, and capable of being used in very different fields and branches. The aim of the paper is to define four of the most commonly used models implemented in transcultural nursing, to stimulate the interest of the nurses with these models and thus to encourage them to use these models in order to make cultural definitions and evaluation in their own fields. Questionnaires, interview and observation forms may be prepared and used in collecting cultural data by using the main concepts of all of the four models defined in this research. The researcher has been currently conducting a research aiming to use these models in Turkish Society in evaluating the cultural structure of the society. The researcher herself is also using in Turkey "The Giger and Davidhizar Transcultural Assessment Model", which is one of these models, in order to make known and to evaluate the cultural structure of Turkish society.
Knowledge management issues in the EFQM excellence model framework

Purpose The purpose of this paper is to identify knowledge as a key strategic resource within the EFQM excellence model. The study also analyses whether the EFQM model helps to create an adequate context for successful knowledge management (KM). A description is given of the synergies between both management approaches, with the purpose of reaching sustainable competitive advantages within organizations. Design/methodology/approach A literature review and a content analysis are carried out which show how the current version of the EFQM model includes the key aspects of the knowledge management systems (KMS) and its process. Also, the relationships and synergies between both considered management approaches are analyzed: quality management and KM. Findings After a detailed analysis of KM issues in the EFQM model, important synergies and complementary elements are appreciated between both management frameworks. Evidence is given of how the integration of both frameworks constitutes a dynamic capability that can lead organizations to attain sustainable competitive advantages. Practical implications An exhaustive review is given of the elements related to KM present in the EFQM model. In addition, companies are offered guidelines to be able to manage their knowledge through a model that is recognized and widespread in the business sphere. Originality/value The research develops the first content analysis of the process elements and KMS present in the whole structure of the EFQM model. Furthermore, it is shown how the integration of excellence and KM constitutes a dynamic capability for organizations based on continuous improvement, innovation and learning.
A role for CEACAM proteins in energy balance and peripheral insulin action.

16 Introduction.17 Research Design and Methods.19 Results.25 Discussion.30 Acknowledgements.32 Figure Legends.33 References.37 Figures.42 Chapter 3: Manuscript #2 – A Role for CEACAM2 in the Hypothalamic Control of Energy Balance and Peripheral Insulin Action.52 Abstract.55 Introduction.56 Results.58 Discussion.63 Acknowledgements.66 Table 1.67
Potential Value of Patents With Provisional Applications: An Assessment of Bibliometric Approach

This article used nine patent value indicators to compare the differences in the characteristics of U.S. patents for which provisional applications (PAs) were submitted and other patents without PAs (NPAs). The findings revealed significant differences in the average numbers of backward and forward citations, patent and nonpatent references, and patent claims, patent family size (number of patents and number of countries), and duration of examination between the two groups of patents granted between 2005 and 2017 by United States Patent and Trademark Office. Increasing trends were observed in the average number of backward citations and average percentage of patents renewed per year in both PA and NPA groups, whereas decreasing trends were observed in the average numbers of forward citations, countries, claims, and average duration of examination per patent and per year in PA and NPA groups. Differences in patent characteristics based on type and field were observed. This article also revealed more significant differences in PAs than in NPAs because of a larger number of pairs of fields. The results of this study confirmed that PAs have a stronger association with patent value and provided further justification for filing PAs, in addition to obtaining an early effective date for new inventions.
Major Stress Symptoms in Dentists at a Social Security Institution in Guadalajara, Mexico

During dental practice, the professional finds him or herself exposed to stress and to diverse conditions posing a mental or physical health risk. The purpose of this study was to identify the most frequent symptoms of chronic stress in dentists. All dentists (87) that worked during the year 2011 at a Social Security institution were surveyed using the Stress Symptom Inventory (SSI) to record both physical and psychological symptoms. The results showed that the perception of physical symptoms, such as strong heartbeats, dry mouth, fatigue, headaches, frequent urge to urinate, neck and shoulder pain as well as the psychological symptomatology of anxiety, urge to eat at all times, rage attacks, insomnia, accident proneness and impaired concentration were factors of high-level chronic stress in dentists working at the Social Security institution. Timely identification of chronic stress in dentists may favor the implementation of timely prevention programs for their healthcare and work security.
Assessing Health Belief Model Construct in Paying Attention to Danger Signs in Children Less than Five Years Old

Background and purpose: There are many different studies indicating low knowledge of mothers about danger signs in sick children. This study aimed to assess the health belief model constructs about attention to danger signs in children less than five years old in Arak. Materials and methods: A cross-sectional analytical study was carried out in 350 women with children less than 5 years old in Arak. Data was collected through structured interviews by a researcher made questionnaire that was developed according to the Health Belief Model and the checklist of mothers' performance. It was then analyzed using Pearson correlation and linear regression. Results: The mean scores for mothers' behavior in paying attention to danger signs in their children, perceived susceptibility, severity, benefit, perceived barriers, cues to action, and self-efficacy were 51.53±42.03, 78.17±6.86, 81.56±7, 81.62±6.9, 69.42±8.28, 72.86± 8, and 73.62 ±7.5, respectively. Linear regression model showed that the respondents' behavior improved by every one percent increase in the benefits and cues to action (0.18 and 0.21, respectively). Conclusion: These findings suggest efficient training programs that could improve mothers' behavior on paying attention to danger signs in their children.
A Game Theoretic Approach to Phase Balancing by Plug-In Electric Vehicles in the Smart Grid

With the increasing penetration of renewable energy resources and plug-in electric vehicles (PEV) in the smart grid, the problem of phase imbalance in a three-phase distribution system becomes more challenging. In this paper, we propose a phase balancing (PB) scheme performed by PEVs. With PB remunerations introduced as financial incentives, PEV owners are encouraged to assist the distribution system operator in reducing the phase imbalance. This is achieved by exploiting the charging flexibility of PEV batteries. We formulate this problem into a non-smooth non-cooperative game, where each PEV owner autonomously minimizes his/her charging cost minus the PB remuneration, considering decisions of other PEV owners. Through transforming this game into a smooth extended one, we are able to solve this challenging problem. Specifically, existence of its Nash equilibrium (NE) is demonstrated, and a distributed algorithm is developed to achieve the NE. Convergence proof of this algorithm is also provided. Simulation results validate our proposed scheme, and illustrate that both PEV owners and the distribution system operator will benefit financially. Moreover, the power quality and system reliability of the distribution network can also be improved.