Miracle-dz/UniFAR-FTUs huggingface dataset:
Surgical site infection in benign abdominal gynaecological surgeries

Background: Surgical site infection is the commonest complication after gynecological surgeries. Limited studies have been done in India to know the magnitude of the problem. This study aims to know the incidence of surgical site infection, analyze the risk factors and identify the causative organisms.Methods: A prospective observational study . All women who underwent abdominal surgeries for benign pathologies in department of obstetrics and gynecology, Government medical college, Thrissur from April 2016 to March 2017, were included in the study women more than 80 years old, evidence of infection preoperative or within 48 hours of surgery, laparoscopy procedures unless combined with open surgeries and emergency surgeries were excluded.Results: The incidence of SSI was found to be 7.9%. Re suturing had to be done in 24 patients. The risk factors found to be significant were age more than 50 years ,patients with education <7th std, diabetes, BMI>30,pre hospital stay >10 days, ASA score >3, duration of surgery >2 hours and peri-operative blood transfusion. Staphylococcus aureus was the most common causative organism and was sensitive to amikacin, vancomycin, cloxacillin and its combinations.Conclusions: SSI pose a significant problem in the post operative period that can affect recovery. It was associated with multiple predisposing factors which could be prevented if these risk factors are identified early and appropriate measures are adopted to support host defense system in the peri operative time.
Fast and simple modeling of non-rectangular transistors

As CMOS feature size scales down to 65nm and below, challenges for device and circuit manufacturability are emerging. As commonly seen in real designs, devices with distorted gate shapes and rough line-edges are manufactured despite the applications of aggressive resolution enhancement techniques (RET). It has been shown that such irregular gates could introduce significant extra leakage current. Existing tools and device models cannot handle non-rectangular geometries. Therefore, it is critical that a modeling flow capable of handling such irregular devices is developed and smoothly integrated into the post-lithography delay and leakage circuit analysis process. Previously proposed methods either model an irregular transistor as two different rectangular devices, one for on and the other for off state analyses; or they are difficult to be implemented. In this paper, we propose a new modeling approach that serves as a fast and simple solution to this problem and overcomes these drawbacks. We found that by adjusting both gate length and width of the equivalent device, a single equivalent rectangular device can be determined. Through TCAD and SPICE simulation experiments, we demonstrate that our model can accurately capture both on and off currents of the modeled nonrectangular gate device. The average error of our modeling approach is 1.6% for Ion and 7.5% for Ioff.
Preparedness behaviors for natural hazards and their association with experiences, perceptions, and social engagement in Taiwanese society

ABSTRACT This study examined how individuals’ past experiences and perceptions of natural hazards, as well as their participation in voluntary organizations, were associated with their hazard preparedness. The study first explored how individuals’ past experiences of three types of natural hazards (floods, landslides, and earthquakes), and their perceptions of hazard risk and controllability, were associated with their participation in voluntary organizations – an important indicator of social capital. This study also investigated how individuals’ experiences and perceptions of natural hazards, and their participation in voluntary organizations, were associated with their adoption of preparedness behaviors for future hazards. The results of this study indicated that residents who experienced a natural hazard in the past generally reported better preparedness behaviors although the results differed according to the type of natural hazard. Both perceived risk and perceived controllability were positively associated with preparedness behavior, but perceived controllability was more strongly associated with participation in voluntary organizations.
Combinatorial Approach of Feature Generation for Traffic Event Detection using Social Media Data: CFGA

Confined use of road sensors limits the effectiveness of traffic disturbing event detection. In this context, Twitter is becoming popular among the people to share the events that affect the daily life. In this paper, a novel dictionary formation and a new feature generation approach is proposed to build an integrated machine learning framework to detect the traffic events. The proposed novel combinatorial feature generation approach (CFGA) uncovers appropriate associations among the keywords of tweet and extracts the correlated keyword sets to the data collected. Such keyword sets are denoted as set phrases . The set phrases may comprise of single or multiple words of a tweet. These set phrases may be used as keywords for event-related data collection or further analysis. The frequently occurring set phrases are identified using the notion of support, which signifies the percentage of tweets containing relevant keywords. Since the nature of different events may also vary; therefore, a hardcoded value for support thresh- old will not be beneficial. Hyper-parameter designated as support (! ) is tuned for finding threshold value that is used to obtain the set phrases. This process sets up a database of frequently occurring set phrases that can signalize the traffic-related events using ML classifier. The results of the proposed approach suggest that if suitable support is chosen, proposed CFGA increases the accuracy of supervised classification models for extracting traffic information from Twitter data. The classification results obtained by using the proposed approach outperform their existing counterparts in terms of precision, recall, and F-measure.
A COMPARATIVE STUDY OF THE CUSTOMER ORIENTATION ATTITUDE OF SELECTED PRIVATE AND PUBLIC UNIVERSITIES IN GHANA

The overall objective of the study was to compare the customer orientation attitude of selected private and public Universities in Ghana. Besides, the study also examined the probability of private or public Universities being more customer oriented than the other. The study employed the use of the descriptive design. Data was collected from three private and public Universities in Ghana. The study used standardized questionnaires as the main source of data collection instrument. In terms of the analysis of data, the study employed the use of the statistical package for social sciences version 21. Both descriptive and inferential statistics were used. The findings revealed that that there is a statistically significant difference in the customer orientation behaviour (t (420)= -1.049, p>. 05) of private universities (M= 6.78, SD= 0.002) and public universities ((M= 7.02, SD= 0.82). Again, the predicted odds that a student from a public university is Exp(B) =0.303, however since the coefficient is (-1.192), that is negative, thus, a student from a public university is 30% less than likely to perceive themselves as customers compared with a student from a private university. Recommendations as well as areas for further study have been presented. Article visualizations:
EU enlargements and U.S. FDI flows in the six core states

ABSTRACT This paper addresses an under-researched question of whether regional integration with lower-income countries results in displacement of foreign direct investment (FDI) from high-income countries. Difference-in-differences (DID) estimations are used to, respectively, analyse the effects of the 1986 enlargement and the 2004/2007 enlargement of European Union (EU) on U.S. FDI flows into the EU core states. The results reveal a negative impact of the 1986 enlargement on EP FDI and positive effects of the 2004/2007 enlargement on EP and vertical FDI. The comparative analysis demonstrates that the impact of regional integration depends on the relative strength of a few factors determined by the circumstance. High-income countries do not necessarily lose FDI following an integration with lower-income countries. While the integration tends to divert labour-cost sensitive EP FDI away from the high-income members, as long as the high-income members adaptively go through industrial restructuring and take full advantage of the expanded production networks in response to the newly integrated regional environment, they are likely to become more resilient and competitive in the regional and global markets and reap the benefits of integration.
Stress effects on electronic properties of GaAs thin film

We have calculated the density of the quantum state in the conduction band (NC) for series stress addition to GaAs thin film along [100], [010] and [001] direction. We present here the results of our investigation of the electronic parameter affected by the stress. Within the range of 0.02–0.2 GPa, we find that the value of NC decreases about 1.0 × 1021 cm–3 from the free status of films. The results reveal that the stresses on GaAs film are extremely important and impact its electronic properties.
Multi-objective fuzzy modeling of project scheduling with limitations of multi-skilled resources able to change skill levels and interrupt activities

Project scheduling is one of the most important and applicable concepts of project management. Many project-oriented companies and organizations apply variable cost reduction strategies in project implementation. Considering the current business environments, in addition to lowering their costs, many companies seek to prevent project delays. This paper presents a multi-objective fuzzy mathematical model for the problem of project scheduling with the limitation of multi-skilled resources able to change skills levels, optimizing project scheduling policy and skills recruitment. Given the multi objectivity of the model, the goal programming approach was used, and an equivalent single-objective model was obtained. Since the multi-skilled project scheduling is among the NP-Hard problems and the proposed problem is its extended state, so it is also an NP-Hard problem. Therefore, NSGA II and MOCS meta-heuristic algorithms were used to solve the large-sized model proposed using MATLAB software. The results show that the multi-objective genetic algorithm performs better than the multi-objective Cuckoo Search in the criteria of goal solution distance, spacing, and maximum performance enhancement.
Control of Smart Actuators

Abstract : Hysteresis in smart materials hinders wider applicability of such materials in actuators and sensors. In this dissertation we study modeling, identification and control of hysteresis in smart actuators. While the approaches are applicable to control of a wide class of smart actuators, we illustrate the ideas through the example of controlling a magnetostrictive actuator.
SAHARA: Memory Footprint Reduction of Cloud Databases with Automated Table Partitioning

Enterprises increasingly move their databases into the cloud. As a result, database-as-a-service providers are challenged to meet the performance guarantees assured in service-level agreements (SLAs) while keeping hardware costs as low as possible. Being cost-effective is particularly crucial for cloud databases where the provisioned amount of DRAM dominates the hardware costs. A way to decrease the memory footprint is to leverage access skew in the workload by moving rarely accessed cold data to cheaper storage layers and retaining only frequently accessed hot data in main memory. In this paper, we present SAHARA, an advisor that proposes a table partitioning for column stores with minimal memory footprint while still adhering to all performance SLAs. SAHARA collects lightweight workload statistics, classifies data as hot and cold, and calculates optimal or near-optimal range partitioning layouts with low optimization time using a novel cost model. We integrated SAHARA into a commercial cloud database and show in our experiments for real-world and synthetic benchmarks a memory footprint reduction of 2.5 × while still fulfilling all performance SLAs provided by the customer or advertised by the DBaaS provider.
Energy and Economic Analysis of Different Buildings Constructed with Environmentally Sustainable and Traditional Materials

The use of bioclimatic principles can reduce energy demands and CO2 emissions in the building sector. Costs are one of the most important barriers to a widespread adoption of the green architecture e. [ The aim of this study is to compare the energy and economic performances of two buildings: a real residential bioclimatic building located in Cinisi (a small town near Palermo, Sicily) and an imaginary residential building supposed having the same geographical location, cubature, shape and orientation as the bioclimatic building but built by conventional building materials. The tools used for this study were TRNSYS and HOMER[
Estimation of Electric Vehicle Battery Ohmic Resistance Using Dual Extend Kalman Filter

Using the traditional measurement analysis methods to estimate electric vehicle lithium ion battery ohmic resistance, it is difficult to realize on line. We in this paper use dual extend kalman filter (DEKF) based on thevenin model to solve this problem. DEKF is a kind of circulative iteration algorithm of two kalman filters, applied in the estimation which the systems state and parameter both are unknown. Using DEKF on the estimation of battery ohmic resistance only need the battery current and terminal voltage, therefore, it can be realized on line easily. This paper verified the effectiveness of DEKF through simulation and analysis of the test data.
Air conditioner direct load control by multi-pass dynamic programming

The dispatch of air conditioner direct load control (DLC) using multi-pass dynamic programming (MPDP) methods is presented. The objective of this work is to schedule the control of air conditioner load by MPDP methods such that the peak load reduction and production cost saving have optimum results for the whole study period. The algorithm can quickly converge to an optimal schedule. To demonstrate the effectiveness of this approach, results of a sample study on the Taiwan Power Company power system are described in this paper. >
Influence of human activities, social and environmental variables on the behavior of guanacos in Southern Andean Precordillera (Argentina)

ABSTRACT Human disturbance, social interactions and habitat constraints usually influence the behavior of wild ungulates. Poaching and habitat degradation are threats to the guanaco, a native South-American herbivore adapted to arid environments. Flight and vigilance behaviors, and guanaco–observer distances, were seasonally surveyed in mountain Andean environments, inside a protected area and surroundings. Field surveys and GIS analyses estimated environmental variables. Linear mixed models estimated probability of the mentioned behaviors and distance based on predictions about influences of human disturbance, social interactions, environmental constraints, and their changes over time. Flight and vigilance behaviors and guanaco–observer distance were higher in less protected landscapes, and near urban sites. Flight probability and guanaco–observer distance decreased over the years, being this distance shorter within the protected area. Flight decreased in summer, while vigilance increased. Vigilance was higher in groups with young, and lower in larger groups. Flight and vigilance behaviors were lower in slopes and higher in tall shrublands. These results are in agreement with hypotheses of risk-allocation, learning habituation, fitness maximization, risk detection strategy and foraging hypothesis. Social and environmental influences on guanaco behavior will probably prevail over anthropogenic influences insofar as current efforts to discourage disruptive activities are maintained in these mountain environments.
Green synthesized pyridazinone derivatives as promising biologically active and anticancer drugs

An efficient synthesis of substituted 4-acetyl-5,6-diphenylpyridazin-3(2H)-one derivative has been achieved using green chemistry tools such as grinding and microwave heating compared to conventional heating. In this work, 4-acetyl-5,6diphenylpyridazin-3(2H)-one derivative attached to Schiff-bases, chalcones, pyridine, and pyrrole moieties have been prepared with the aim to possess engaging biological and pharmacological activities. The Schiff-base 2 was obtained by reacting 4-acetyl-5, 6-diphenylpyridazin-3(2H)-one 1 with p-amino acetophenone, and the corresponding chalcones 3a-d were obtained by reacting the Schiff-base 2 with the relevant aldehydes. Novel pyridinyl-pyridazinones 5a-h and pyrrolepyridazinone derivatives 6a-h were synthesized by the reaction of chalcones 3a-d with different acetyls and aldehydes under grinding, microwave irradiations or under reflux conditions. The synthesized compounds were tested for both Gram-positive and Gram-negative antibacterial activity, antifungal, and anticancer activities. These substances were also evaluated using analytical and spectral data, such as HNMR and mass spectrum analysis.
L'analyse des phénomènes physiques, éléments essentiels vers la résolution de problèmes industriels

In this paper, we present the different elements of connection between users requirements and physical phenomena created during the use of products. We propose a structured methodology which goes from the analysis of the significant moments until the identification of the appreciation criteria of the user and design variables necessary to the product definition. The time decomposition of the product use in significant moments makes it possible to identify all actions realized by the user, to extract the physical effects and to qualify them in term of relevance. The methodological tools ensure the exhaustiveness of the analysis, to define the physical sizes associated with the criteria and the design variables as well as the relations between the criteria and design variables. Then we can take into account users requirements during preliminary design phase. This methodology is applied to the integration of the user requirements at the time of the opening for a telephone foldable.
Sistema inalámbrico de monitorización para cultivos en invernadero

La agricultura del sureste espanol ha experimentado uno de los cambios mas importantes que se han producido en los ultimos anos gracias a los cultivos de invernadero. En este tipo de cultivos es muy importante la utilizacion de tecnicas avanzadas y tecnologias novedosas para mejorar el rendimiento de los cultivos. Este trabajo presenta un sistema avanzado para la monitorizacion de variables aplicadas a la agricultura intensiva. El sistema usa una red de sensores inalambricos (WSN) que funciona con 6LoWPAN y RPL como el protocolo de enrutamiento, mide humedad, temperatura, luz y el contenido volumetrico de agua en el suelo. La WSN envia los datos recolectados a un dispositivo embebido que almacena la informacion en una base de datos a fin de visualizar de forma grafica y en tiempo real los valores obtenidos en los cultivos. El sistema desarrollado permite una gran flexibilidad de instalacion y de adaptacion a cualquier invernadero, ya que se basa en tecnologia inalambrica, que los nodos pueden establecer las rutas de los enlaces entre ellos automaticamente, y tienen implementada una funcion de ahorro de energia que le permite alargar la vida util de las baterias lo suficiente para una campana agricola sin necesidad de mantenimiento.
Spillovers and Dynamic Correlations between REITs, Exchange Rates, and Equities in Japan

This paper investigates return transmission, volatility spillovers, and dynamic correlations between the Tokyo Stock Exchange (TSE) Real Estate Investment Trust (REIT) index, the Nikkei 225 index, and the yen/dollar exchange rate. As a result, we find many new findings and these all show our significant contributions as follows. First, there is return transmission from the Nikkei 225 to the TSE REIT index. Second, there is bidirectional return transmission between the Nikkei 225 and the yen/dollar exchange rate. Third, there are bidirectional volatility spillovers between the Nikkei 225 and the TSE REIT index. Fourth, there are volatility spillovers from the Nikkei 225 to the yen/dollar exchange rate. Fifth, dynamic conditional correlations (DCCs) between TSE REIT returns and Nikkei 225 returns are not low. Moreover, DCCs between Nikkei 225 returns and yen/dollar exchange rate changes are not high. Furthermore, DCCs between TSE REIT returns and yen/dollar exchange rate changes are quite low. These our new findings shall be useful for not only deepening our understanding of financial markets but also our related future research.
Self‐Powered Organic Photodetectors with High Detectivity for Near Infrared Light Detection Enabled by Dark Current Reduction

Organic photodetectors (OPDs) for near infrared (NIR) light detection represents cutting‐edge technology for optical communication, environmental monitoring, biomedical imaging, and sensing. Herein, a series of self‐powered OPDs with high detectivity are constructed by the sequential deposition (SD) method. The dark currents (Jd) of SD devices are effectively reduced in comparison to blend casting (BC) ones due to the vertical phase segregation structure. Impressively, the Jd values of SD devices based on D18 and Y6 system is reduced to be 2.1 × 10−11 A cm−2 at 0 V, which is two orders of magnitude lower than those of the BC devices. The D* value of the SD device is superior to that of BC device under different bias voltages (0, −0.5, −1.0, and −2.0 V) due to the reduction of dark current, which originates from the fine vertical phase separation structure of the SD device. The mechanism studies shows that the vertical phase segregation structure can effectively suppress the unfavorable charge injection, thus reducing the dark current. Also, the surface energy is proven to play a key role in the photocurrent stability. In addition, the flexible OPDs demonstrate excellent performance in photoplethysmography test.
The development of robust methods of post occupancy evaluation

Purpose – To highlight the importance of effective post occupancy evaluation (POE) as part of a sustainable approach to workplaces and guide facilities professionals in their choice of POE tools.Design/methodology/approach – A literature review provides an insight into sustainability and an introduction to POE options, with detailed discussion of key factors influencing the effectiveness of POE. A POE case study (at the Eden Project) provides an applied analysis of POE tools, focussing particularly on the usefulness of obtainable data.Findings – POE is shown to be useful in addressing client satisfaction and user needs as part of sustainability assessments. Improvements to the assessment of occupants' experiences are suggested, in consideration of a more holistic approach to POE.Research limitations/implications – This paper is grounded in UK experience, but the international relevance of the issues could also be explored by readers/further research. Further exploration of novel and holistic methodologies.
Behaviour of chlorine and alkalis in the blast furnace and effect on sinter properties during reduction

Thermodynamic calculations have shown that chlorine can accumulate and cycle in the shaft of the blast furnace in the form of alkalis chlorides. Cycling of chlorine and alkalis in the upper part of the shaft was simulated at laboratory scale with a countercurrent reduction furnace (BORIS furnace) and also directly investigated at an industrial blast furnace. Experiments and calculations have shown the superposition of two cycles: one “pure” alkalis cycle in a large temperature domain, and a KCl cycle in a narrower range (600-1,000°C). According to the trials, effects of KCl on reduction and disintegration behaviour of sinter are similar to those of “pure” alkalis.