Miracle-dz/UniFAR-FTUs huggingface dataset:
DETERMINANTS OF SUBOPTIMAL BLOOD PRESSURE CONTROL IN HYPERTENSIVE PATIENTS: 24-HOUR AMBULATORY BLOOD PRESSURE MONITORING

Abstract INTRODUCTION: The study was conducted to define the determinants of suboptimal blood pressure (BP) control among hypertensive patients under treatment and explore a predictive model for detecting the patients at risk for increased BP. METHODS: We enrolled 97 patients (40 males, 57 females) under treatment for hypertension between June 2006 and May 2007 in Shafa hospital, Kerman, Iran. BP was measured at clinic twice within 5-minute intervals. After setting up ambulatory blood pressure monitoring (ABPM), BP was measured at 30-minute intervals during the day and 60-minute intervals during the night. The frequency of increased BP (more than 140/90 mmHg) was included in a regression model as dependent variable and all the others such as age, sex, body mass index (BMI), drugs and baseline clinical measurements as the predictors. RESULTS: Increased BP was detected in 44% (95% CI: 38.79%-49.65%) of all measurements during 24-hour monitoring. The frequency of increased BP had a significant relationship with BMI (b=0.35, P=0.001). Clinic's pulse pressure was a significant predicting factor for BP increase (P=0.02). CONCLUSION: BMI and pulse pressure are the best predictors for being hypertensive during lifetime. Ineffective treatment of hypertension is frequent among the hypertensive patients. Keywords: Blood pressure control, Pulse pressure, Ambulatory blood pressure monitoring (ABPM), BMI.
Mental Focus Analysis Using the Spatio-temporal Correlation between Visual Saliency and Eye Movements

The spatio-temporal correlation analysis between visual saliency and eye movements is presented for the estimation of the mental focus toward videos. We extract spatio-temporal dynamics patterns of saliency areas from the videos, which we refer to as saliency-dynamics patterns, and evaluate eye movements based on their correlation with the saliency-dynamics patterns in view. Experimental results using TV commercials demonstrate the effectiveness of the proposed method for the mental-focus estimation.
Infected Surgical Drain, An Important Complication: Thinking outside the Box

Drainage of body cavities has been practiced in medicine for a long time (Petrowsky H. et al., 2004). Historical reports of drainage of chest empyema and ascites go back to the Hippocratic era (Robinson, 1986). A surgical drain is a tube frequently used to remove excess fluid and blood from wounds or body spaces (Jain et al., 2013). These devices have also been used to decrease local edema, lessen the potential for hematoma or seroma formation, and to aid in the efflux of infection. However, the role of postoperative surgical drains in clean, elective cases has not been firmly established (Gaines and Dunbar, 2008). However, abdominal drainage has always been a subject of controversy, practiced in confusion and subjected to local dogmas (Moshe Schein, 2008). Drains have been implicated in several clinical studies as a contributing factor to the development of infection and other complications. The mechanism by which drains enhance sepsis may be several. The drain provides a route by which bacteria can gain access to the tissues. Another explanation is that drains are foreign bodies that damage tissues defences and thereby invite infection. A surgical drain is a tube used to remove pus, blood or other fluids from a wound which may accumulate and become a focus of infection. Presence of drain itself increases the risk of infection and complication. The study was conducted in the Department of Microbiology, Jawaharlal Nehru medical College and Hospital, AMU Aligarh (India) over one year period. The aim of present study was to analyze the bacteriological profile and antimicrobial sensitivity pattern of bacterial isolates associated with surgical drain infection. Total 539 (60.8%) samples were collected out of which 315(58.4%) showed bacterial growth. The predominant bacterial isolates were Escherichia coli 121(51.7%) followed by Citrobacter species 66(28.2%) and Pseudomonas species 17(7.3%). Imipenem was found to be the most effective drug for Gram negative bacilli while vancomycin most effective for Gram positive cocci. K e y w o r d s
Gastrointestinal helminth parasites of Lithognathus mormyrus (Linnaeus, 1758) (Perciformes Sparidae) in the Western Medi- terranean Sea

Received 18.07. 2017; accepted 06.10. 2017; printed 30.03. 2018 Between December 2014 and April 2016, 235 specimens of striped seabream Lithognathus mormyrus (Linnaeus, 1758) (Perciformes Sparidae) caught along the western Algerian coast were examined for helminth parasites. This taxa includes 5 monogeneans (Lamellodiscus flagellatus, L. ignoratus, L. mormyri, L. verberis and Pagellicotyle mormyri), 13 digeneans (Lepidauchen stenostoma, Derogenes latus, Magnibursatus bartolii, Proctoeces maculatus, Holorchis pycnoporus, Lepocreadium album, L. pegorchis, Macvicaria maamouriae, M. maillardi, M. mormyri, Pycnadenoides senegalensis, Diphterostomum brusinae and Zoogonus rubellus), 3 nematodes (Hysterothylacium rhacodes, Dichelyne tripapillatus and Ascarophis sp.), 1 cestode (Scolex pleuronectis) and 2 Acanthocephala (Acanthocephaloides propinquus and A. incrassatus). All the species were recorded for the first time in the western Algerian coast in this host. Furthermore, Lepidauchen stenostoma and Hysterothylacium rhacodes are reported for the first time in the western Mediterranean. Magnibursatus bartolii, Zoogonus rubellus, Dichelyne tripapillatus, Ascarophis sp. and Scolex pleuronectis provide a new host record in Lithognathus mormyrus from the Mediterranean Sea. Epidemiological indexes (prevalence, abundance and mean intensity) were calculated for each helminth species identified in this fish. The Algerian west coast shows the highest value in the helminth species richness among all the Mediterranean coasts.
Compressive-sensing-based double-image encryption algorithm combining double random phase encoding with Josephus traversing operation

A double-image encryption scheme based on compressive sensing is designed by combining a double random phase encoding technique with Josephus traversing operation. Two original images are first compressed and encrypted by compressive sensing in the discrete wavelet domain and then connected into a complex image according to the order of the alternate rows. Moreover, the resulting image is re-encrypted into stationary white noise by a double random phase encoding technique. Lastly, Josephus traversing method is utilized to scramble the transformed image. The initial states of the Henon chaotic map are the secret keys of this double-image encryption algorithm, which can be used to control the construction of the measurement matrix in compressive sensing and generation of the random-phase mask in double random phase encoding. Simulation results show that the proposed double-image encryption algorithm is effective and secure.
Transformation of the Physico-Chemical, Thermal, and Behavioral Properties of Tetrahydrocurcumin by means of the Consciousness Energy Healing Treatment

Tetrahydrocurcumin (THC) is a colorless or white polyphenolic metabolite of curcumin and quite similar physiological and pharmacological properties of curcumin [1,2]. In contrast, THC showed the strongest antioxidant activity than the other naturally-occurring curcuminoids, including curcumin, demethoxycurcumin, and bisdemethoxycurcumin [2-5]. It has different molecular targets, signaling pathways, cellular responses, and clinically more advantageous compared with the curcumin [2-5]. Many studies reported that THC has significant results in preventing inflammation, hepatotoxicity, nephrotoxicity, cancer, diabetes, rheumatoid arthritis, the ageing process, atherosclerotic lesions treatment, etc. [2-7]. However, THC does not have toxicity even at higher doses and can be used against tumors of the skin, colon, pancreas, breast, and other skin diseases like psoriasis, and scleroderma. [5,7]. THC plays a notable role in angiogenesis and also improves the accumulation of extracellular matrix (ECM) components through the remodeling of the wound repair [5].
The Relationship Social Capital and Empowerment in Central Libraries’ Librarians of Public Universities in Tehran

This study investigates the relationship between social capital with empowering the librarians in the central libraries of Tehran public universities. The present study is a practical, descriptive, correlative one. The participants include 181 librarians of 24 central libraries of public universities in Tehran. The data collection tools are Nahapiet and Ghoshal (1998) social capital questionnaire and Ivancevish, Konopaske and Matson(2005) empowerment questionnaire. To analyze data, Pearson's correlation coefficient and sample t-test were used. The results indicated that there exists a meaningful relationship between these twocomponents social capital and empowering librarians of central libraries in Tehran public universities, and the level of meaningfulness is 1% and this relationship is weak, positive and direct. Therefore, to improve the performance of the staff and empowering this human capital based on social capital, the authorities should provide appropriate structures in organizational management strategy.
PHYSICO-CHEMICAL AND MICROBIOLOGICAL CHARACTERISTICS OF DEAD BIRD AND LITTER COMPOST DURING WINTER SEASON

An exploratory study was conducted to evaluate the physico-chemical and microbiological characteristics of dead poultry and litter compost during different stages of composting in winter season. The present study was conducted under completely randomized design (CRD) by repeating the experimental trial for three times. For this purpose, three compost bins were loaded with organic waste comprising dead poultry and litter by following the internationally accepted standard method of bin filling. Sampling was done at the end of each phase to record the data for physicochemical, mineral and microbiological parameters. The data were analyzed by using ANOVA technique under CRD. The results indicated higher maximum temperature, maximum moisture, and crude protein in primary phase, average temperature in secondary phase, dry matter, ash, calcium, phosphorus, and potassium content in curing phase of composting. However, nitrogen content, C:N ratio and bacterial count were significantly (P ≤ 0.05) reduced during curing phase of composting. It may be stated that composting technology is an environmentally safe method of dead birds’ disposal that can be used to convert organic waste into useful organic fertilizer.
Tramadol: How Dangerous Is It And Where Is It Illegal?

An Englishwoman named Laura Plummer is in jail in Egypt [2] on suspicion of drug trafficking 290 tramadol tablets. The tablets (available on prescription in the UK) were found in her suitcase when it was examined at Hurghada international airport on Egypt’s Red Sea coast on October 9. She’s reported to have been given them by a colleague to treat her Egyptian husband’s sore back and has said that she had “no idea” [3] they were illegal in the country. So what is tramadol and why are the Egyptian authorities so concerned?
Interleukin 10 Treatment of Psoriasis

Results: The treatment was well tolerated. Antipsoriatic effects were found in all but 1 patient. A significant decrease of the psoriasis area and severity index by 55.3% ± 11.5% (mean ± SEM) was observed (P,.02). The antipsoriatic efficiency was confirmed by histological examination. Heterogeneity in the effectiveness was found among the patients, but seems to be independent of the dosage regimen. However, a tendency to a better response was found in the patients who received 20-μg/kg IL-10 3 times per week. Decreasing response in the delayed-type hypersensitivity reaction against recall antigens indicated immunosuppressive effects. Moderate effects on hematopoietic cells were observed.
Investigation of challenges that face teachers in improving teaching Performance in Primary Schools: A case study of Dodoma Municipal Council

This study was on the investigation of challenges that face teachers in improving teaching performance in primary schools. The case study was Dodoma Municipal Council. The study was guided by three research questions. First, the researcher wanted to examine the challenges that face teachers in improving teaching performance in primary schools. Secondly, the researcher wanted to assess teachers’ morale in improving teaching performance in the Schools. Thirdly, the researcher wanted to determine the relationship between challenges that face teachers in improving teaching performance and the teachers’ morale in teaching performance in primary Schools. Relevant literature was reviewed on theories and findings from relevant studies. The respondents included twenty pupils, thirty classroom teachers, twenty head teachers and one District Education Officer. Data were collected through questionnaire, interview and observation as well as documentary review. These were then subjected to both quantitative and qualitative analysis. The findings indicate that, teachers are facing many challenges in improving teaching performance in Schools. That challenges includes low and late salary payment, Poor school environment, overcrowded classrooms, Student indiscipline, distance from home to school, accommodation, teaching and learning materials, promotion and professional development and lack of teachers morale in teaching. The findings have indicated the importance of fulfilling the challenges face teachers in teaching performance.
Corporate Liquidity Management and Financial Constraints

This paper examines the effect of financial constraints on corporate liquidity management by investigating how firms adjust cash holdings and bank line holdings in response to their cash flows. We first present a simple liquidity demand model, in which firms face costly external finance and future investment uncertainty. To hedge against potential capital shortfalls, firms design cash policy and bank debt policy to ensure financial liquidity based on their financial conditions. The model predicts that constrained firms will increase cash holdings but reduce bank line holdings when they experience positive cash flow innovations, while unconstrained firms do not exhibit such a pattern. Using simultaneous equation systems, we then test these predictions based on a unique sample of real estate investment trusts (REITs). The results strongly support our predictions. In addition, we provide evidence showing that dividend policy is sticky and plays a passive role in corporate liquidity management. ∗ We are grateful to Timothy Riddiough, François Ortalo-Magné, James Seward and James Shilling for their helpful comments. In addition, We benefited from discussion with Jim Clayton, Mike Mihelbergel, Toni Whited and seminar participants at the University of Wisconsin-Madison. † Department of Finance, Florida International University, RB 208, 11200 SW 8th Street, Miami, FL 33199; e-mail: Wuz@fiu.edu. ‡ Department of Real Estate and Urban Land Economics, University of Wisconsin-Madison, 975 University Avenue, Madison. , WI 53706; e-mail: Yongqiangchu@wisc.edu.
Malicious Nodes Detection based on Artificial Neural Network in IoT Environments

The central promise of the Internet of Things (IoT) is to accelerate the interaction with surroundings. Appliances such as smartwatches, smart bulbs, thermostats, fitness trackers, next-generation vehicles, and so on have gained the ability to communicate and accept instructions from outside with the help of various embedded devices. While doing so, they almost always operate with little to no human interaction. These embedded devices, alongside a lot of benefits, also bring forth several security challenges. From the manufacturers’ point of view, performance and production remain the top priority leaving security a less addressed problem. This practice has manifested itself in the form of various attacks including the Distributed Denial of Service (DDoS) where malware prepared with the aid of malicious nodes in IoT devices are used to carry out the attack. It is, therefore, essential to comprehend the nature of these attacks and swiftly identify infected devices to combat this situation. Machine Learning, or more particularly a branch of this technique commonly known as Deep Learning, has already demonstrated its outstanding potentials while administering with the heterogeneous data of diverse sizes. Using the Artificial Neural Network (ANN), this work suggests a method of detecting malicious nodes in IoT environments. The contribution of the paper is in two-fold. First, it classifies the usual and malicious patterns of IoT devices in the network, and second, describes a scheme for successfully detecting malicious nodes with 77.51% accuracy.
10 Strategies for Scaling in Social Entrepreneurship

Learning goals Upon completing this chapter, you should be able to accomplish the following: Explain the difference between organizational growth and replication by others. Explain major scaling strategies and their distinctive features. Understand advantages and disadvantages of the scaling strategies. Recognize the perspective of social investors towards scaling. Explain implications of scaling and how hurdles could be overcome.
Analysis of Software Maintenance Efficiency Focused on Process Standardization

In this research, to establish a benchmark for software maintenance efficiency, we analyzed factors affecting the work efficiency and showed reference value stratified the factors. We analyzed dataset of software maintenance collected from 83 organizations. Attributes recorded in the dataset are standardization status of organization, system architecture, the number of engineers, the number of base modules, the number of modified modules, and so on. In the analysis, we regarded modified modules per engineer as a work efficiency index, and clarified relationships to other attributes. As a result, we identified that standardization status of organization is important for work efficiency.
Detection of Vulnerability Guard Elimination by Compiler Optimization Based on Binary Code Comparison

It is known that guards against vulnerabilities in C programs might be eliminated by compiler optimization if they are not written properly. This paper proposes a method to detect such flaws in software by binary code comparison. Given a source code, a pair of binary codes are generated, one with standard optimization and the other with problematic optimization suppressed. Since simple comparison of the binary codes end up with an unacceptable amount of false positives, call instructions in each function are collated to detect discrepancies. In a preliminary experiment on 7 programs, our method successfully detected 2 instances of guard losses with only one false positive.
Technische Universität Chemnitz and Hochschule Mittweida at TRECVID Instance Search 2017

With our submission to the 2017 TRECVID Instance Search task (Awad et al., 2017b), we focused on the usage of dedicated CNN models. We limited the available video training data to only three sources: The EastEnders episode 0, the given location examples and the given person examples. Our main workﬂow consists of three steps: First, we identify and crop persons from the training videos. Secondly, we train person and location classiﬁers using CNNs. Finally, we apply an ensemble strategy with prediction pooling to ﬁnd matches for the given topics. In this contribution, we will provide some insights into our strategies and discuss results. Additionally, we present a novel way of interactive result annotation using HTC Vive VR headsets.
QoS Web Services Using Numerical Temporal Planning analysing and Testing

Web Service Composition is nothing however grouping of single net services with numerous practicality along implement composite service. net service composition plays very important role in implementation of service homeward-bound architectures. To differentiate the non practicality of varied net services Quality of service is employed. net service composition are often delineated as follows Specification of WS 1st user state goal of composition with some constraints that ought to get glad. WS choice – mechanically choice of net services that fulfills the user demand. Dynamic integration of net services at run time. several researchers carried heap of labor on composition of net services and on quality of service that considerably affects quality of the composition that incur some issues in overall optimality of QoS and finding composite service answer. during this paper we have a tendency to are mistreatment coming up with primarily based approach, numerical and temporal options to convert mechanically Qos aware composition. we have a tendency to planned some logical and numerical optimization techniques to handle complicated temporal issues. to attain overall world QoS constraint we have a tendency to are implementing composite service graph. net service composition supported transactional properties plays very important role in reliable execution. Keyword:-Web service;Dynamic integration; mistreatment; numerical; mechanically; execution.
COMENTARIO EDITORIAL de: Desafíos quirúrgicos de las anomalías del desarrollo sexual

Las Anomalias de Desarrollo Sexual (ADS) forman un amplio grupo de malformaciones cuyos limites internos no siempre son precisos y constituyen un serio problema para los diversos profesionales implicados en la busqueda de su solucion, siempre compleja y dificil. Es de agradecer a los autores de este excelente trabajo que hayan puesto sobre la mesa editorial un tema candente, cada vez mas actual y polemico. Han elegido como �hilo conductor� de tan variada patologia el concepto de Desafio Quirurgico, muy apropiado, que resume esquematica y magistralmente los principales problemas con sus soluciones quirurgicas actuales
Design and Implementation of wireless sensor Node using Programmable system on chip 4 (PSOC 4200)

-The hardware reconfiguration is an important property of PSoC that allows the programming of different configurations in the same design, which are in less time, and change them while the device is running. Currently embedded system development is a huge market where less time to market period is demanded from system developers. In order to address this, different International companies have come up with different system development methodologies. Among these, Cypress Semiconductors have introduced a programmable system on chip (PSoC). The aim of this work is to explore the programmable PSoC 4200 family . The sensor node communication is growing very rapidly now days, the basic architecture of wireless sensor node for coastal monitoring is used here to system design here use CC2520 is TI's second generation ZigBee / IEEE 802.15. 4 RF transceiver for the 2.4 GHz unlicensed ISM band. A wireless sensor node (WSN) has important applications such as remote environmental monitoring and target tracking.