Miracle-dz/UniFAR-FTUs huggingface dataset:
COST-EFFECTIVENESS OF CARDIOVASCULAR RISK CLASSIFICATION BASED ON ANKLE-BRACHIAL INDEX TEST IN ASSOCIATION TO FRAMINGHAM RISK SCORE

An individual patient-data meta-analysis conducted on 24,955 men and 23,339 women showed that Ankle-Arm Index (ABI) in combination with FRS classifies female subjects with higher accuracy with no difference for male. The objective of this analysis is assessing the cost-effectiveness of ABI combine with FSR in primary prevention. A decisional analytical model was developed to simulate CV risk of asymptomatic female subjects, stratified in 3 CV risk categories. The model compares the primary prevention intervention (treatment of subjects at intermediate and high risk) based on the classification with FRS alone or in association with ABI<0.9 (FRS-ABI). The cost-effectiveness model used 10 years time-horizon and the point of view of the Italian National Health System. Results were presented as incremental cost-effectiveness ratios (ICERs) per QALY gained. Cost and outcomes were discounted at 3%. FRS-ABI determined a reclassification to higher risks in 7% of the female population, with an increase in costs per patient (€3,373 vs €3,198) but also greater efficacy (8,683 vs 8,689 QALYs) over a 10 years time horizon, with an ICER of €47.065 per QALY gained. While using an ABI<1.10 cut-off we obtained an ICER of €28.688 per QALY gained over 10 years simulation. In the probabilistic sensitivity analysis, the FRS-ABI reported a 50% probability to be cost-effective with ABI<0.9 cut-off and 80% probability with ABI<1.1 at a willingness to pay threshold of €50,000 per QALY. Our study showed that FRS and ABI combination is a potentially cost-effective CV risk classification approach in female population. Our results can help the healthcare decision makers in implementing better strategies for primary CV diseases prevention in Italy. Type of funding source: Public Institution(s). Main funding source(s): ASST Niguarda Cà Granda Hospital, University of Milano-Bicocca, Milan, Italy
Assessment of port environmental protection in Taiwan

Purpose There are many different pollution reduction strategies even within different ports in the same country. Every port can learn from these environmental protection strategies. What remains universally key, though, is to select the optimum strategy to reduce pollution. This paper aims to use a fuzzy analytic hierarchy process (FAHP) to prioritize the relative weights of key criteria assessing the port environmental protection and select the best port in Taiwan. Design/methodology/approach Four criteria and eleven sub-criteria of the FAHP model are developed through expert interviews and relevant literature review. Three alternative ports considered are Kaohsiung, Keelung and Taichung. The expert questionnaire samples (23) include four groups: shipping operators, port operators, governmental officials and academics. Findings Results indicate that finance is the most important evaluation criteria, followed by port environmental policy, technology and stakeholders. Among the three ports compared, Kaohsiung Port is selected as the best port, followed by Keelung and Taichung port. Originality/value The result of this paper can help fill the gap in the existing literature regarding decision analysis techniques for port pollution regulation and expect to present a holistic picture of the important evaluation criteria related to port environmental protection as well as raise issues of public awareness concern and consequently improve green port sustainability.
Utilizing Structured Query Language Database And Application XDK In Advanced Mobile Phones: Iraqi Police Model

This Query obtains a fast response from the system which was designed to know the criminal history of people. The current problem is how to obtain the data stored in the database about criminals during the same time crime in Iraq capital Baghdad. which increases the speed of response to avoid possible risks and arrest criminals. The system is designed to inquire about the data stored in the database Structured Query Language My SQL to make the appropriate decision. This application contains the improved parts of the outline of ‘smartphone’ for the Federal Iraqi Police FIP. The principle movement engaged with configuration is how to spare the application capacity of the gadget to help capture offenders, or on the other hand, aroma who has a criminal record in the database by cops and their records in data frameworks FIP. The research adopted a Methodology database My SQL contains records of lawbreakers and Criminals wanted to eliminate. A foot watch officer can send information through this application and find the solution rapidly. That is added to the advanced messaging methods below the error rate. The MySQL database tables are planned with the Application Development Kit XD to coordinate this proposed and appropriate model through the three Stations test tables in Baghdad city that chose by Population density and danger levels. The search method was used in designing a database My SQL and application software XDK For smart devices. The results show that 75.07 % of the system’s response to the data available in the database that designed and will reduce the effort and time by searching for wanting criminals, and a criminal history in the virtual stations, that used in the city Related a large population density. New data access, the management system has been developed from the master database designed for this purpose and we can retain and retrieve data as needed.
Kadar Kolesterol pada Mencit (Mus-Musculus) Diabetes Setelah Konsumsi Ekstrak Rumput Laut Coklat (Phaeophyta)

In the case of Diabetes Mellitus, it will trigger some changes in lipid metabolism and lipoprotein composition, one of them is cholesterol. Cholesterol is a lipid that plays an important role in the structure of cell membranes. Seaweed contains bioactive components of flavonoids which reduce cholesterol levels. Brown seaweed contains bioactive components of alkaloids, flavonoids, triterpenoids, saponins, phenol hydroquinone, tannins, chlorophyll and β-carotene pigments. The bioactive component of brown seaweed also has strong antioxidant activity that can prevent damage caused by oxidative stress on pancreatic β cell function and acts as a trap for various free radicals and can reduce diabetic rat lipid peroxidation. This study to analyze the effect of giving brown seaweed extract on cholesterol levels in diabetic mice.This study was divided into 4 sample groups, namely the normal group, negative controls (diabetic mice), positive controls (diabetic mice + 1.3 mg / 20 gr BB metformin), K1 (diabetic mice + brown seaweed extract). The seaweed dose of 10mg / 20grBB is given on a daily basis for 21 days. Checking blood cholesterol levels in serum using the POD CHOD method and measured using biolysers. Diabetic mice with brown seaweed extract were significantly (p <0.05) lower cholesterol level of 68.94 mg / dL than diabetic mice 81.75 mg / dL. It was concluded that brown seaweed extract had an effect on reducing total cholesterol levels in diabetic mice. Keywords : Cholesterol levels, Diabetic mice, Brown Seaweed
Comparison of bispectral index and patient state index during sevoflurane anesthesia in children: a prospective observational study

Background: Cortical electroencephalography (EEG)-based devices are used to monitor the depth of anesthesia. In this study, we compared the values of bispectral index (BIS) and patient state index (PSI) during sevoflurane anesthesia in children. The ability/accuracy of BIS and PSI to predict the maintenance and recovery state of anesthesia was evaluated based on prediction probability (Pk) values and the secondary outcomes were agreement and correlation of two monitors.Methods: Fifty children (3-12 years old) were enrolled and the patients received sevoflurane anesthesia with remifentanil. Before the induction of anesthesia, BIS and PSI sensors were simultaneously placed on the forehead, and data were collected until the end of anesthesia. Maintenance state was defined as the period following intubation until the cessation of sevoflurane, while recovery state was defined as the period following the cessation of sevoflurane until awake. The prediction probability (Pk), agreement or correlation of BIS and PSI in different anesthesia state were calculated.Results: Anesthesia reduced mean BIS and PSI values. Pk of BIS (95% Confidential Interval (CI) [0.78-0.91])) and PSI (95% CI [0.82-0.91]) for anesthesia were 0.85 and 0.87, respectively. Agreement was 0.79 for recovery state and 0.73 for maintenance state.Conclusions: Pk values were comparable for BIS and PSI. Agreement between BIS and PSI measurements in the same state was relatively good. Therefore, these monitors are appropriate for monitoring for different state of anesthesia in pediatric population.Trial Registry Number: Clinical Trials.gov NCT03792334.
Machine Learning based Self Driving Escort Vehicle

— In this era, the vehicles are focused to be automated to offer human driver relaxed driving. Various aspects are considered in the field of automobile which makes a vehicle automated. Google has started research on self-driving cars since 2010 and is still developing new changes to offer an entirely new level to the automated vehicles. Present paper focused on applications of an automated car, one in which two vehicles have the same destination, and one knows the route, where others do not. The following vehicle will follow the guiding vehicle automatically. The various applications are automated driving during the heavy holdup, hence relaxing the driver from continuously pushing brake, accelerator, or clutch. The idea described during this project has been taken from the Google car, defining the one aspect here into account is making the destination dynamic. This can be done by a vehicle automatically following the destination of another vehicle. Since taking intelligent decisions within the traffic is additionally a problem for the automated vehicle, this aspect has also been considered during this project.
An Improved Fault Diagnosis Using 1D-Convolutional Neural Network Model

The diagnosis of a rolling bearing for monitoring its status is critical in maintaining industrial equipment while using rolling bearings. The traditional method of diagnosing faults of the rolling bearing has low identification accuracy, which needs artificial feature extraction in order to enhance the accuracy. The one-dimensional convolution neural network (1D-CNN) method can not only diagnose bearing faults accurately, but also overcome shortcomings of the traditional methods. Different from machine learning and other deep learning models, the 1D-CNN method does not need pre-processing one-dimensional data of rolling bearing’s vibration. In this paper, the 1D-CNN network architecture is proposed in order to effectively improve the accuracy of the diagnosis of rolling bearing, and the number of convolution kernels decreases with the reduction of the convolution kernel size. The method obtains high accuracy and improves the generalizing ability by introducing the dropout operation. The experimental results show 99.2% of the average accuracy under a single load and 98.83% under different loads.
Impact of Service Marketing Mix in the Banking Sector: A Study of Private Commercial Banks in Dhaka City, Bangladesh

Marketing mix is simply defined as some factors or combination of components which are controlled by the organization in order to promote the product and brand for satisfying customer. The main objective of this study to know the customer needs, wants and demand as to an organization can design the right products, set up the right price, at the right place with proper promotion in satisfactory manner. Service Marketing is very significance due to excessive competition, service differentiation, customer awareness, easy access of information, customer synchronization etc. Banking sector in Bangladesh is very pivotal in service industry where majority of the people have direct or indirect involvement. Service Marketing Mix in Banking Sector is also known as extended marketing mix which is significant part of effective service design. This study is also attempted to collect, analyze & evaluate the Marketing Mix in the Banking Sector in Bangladesh. This study suggests a marketing Mix that could be inherent by direct marketing, personal marketing, one to one marketing, network marketing and social marketing elements for adding value in the Banking Channels. This paper is also aimed at finding out the additional Ps behind the 7Ps of service marketing to differentiate, customize and more value addition to the customer. The present banking sector in Bangladesh is even relying on traditional banking rather Modern Banking with holistic approach. Most of the Bank has no separate marketing division to analyze and develop the customer want, need & demand in Bangladesh.
Multisite Controlled Blinded Field Studies to Evaluate the Effect of an Oral Live Escherichia Coli Bivalent F4/F18 Vaccine in Pig Nurseries with Mild Cases of Post-Weaning Diarrhea or Subclinical ETEC Infections.

Background: Post-weaning diarrhea (PWD) caused by Escherichia coli is a worldwide economically important disease in pigs, linked with increased mortality and weight loss. F4- and F18-enterotoxigenic E. coli (ETEC) are the most diagnosed causes of PWD. The efficacy of live oral E. coli vaccines has been previously demonstrated on farms with confirmed clinical cases of PWD. However, the impact of vaccination in subclinical cases with mild or not noticeable clinical manifestations needed to be assessed. This study evaluated the effect of an oral dose of a live E. coli bivalent F4/F18 vaccine in nurseries without ongoing clinical PWD outbreaks but with a history of pathogenic E. coli circulating within the herd. Two controlled blinded studies were performed under commercial conditions in a total of 6 European sites. Overall, 1941 vaccinated piglets and 1976 control piglets were enrolled and were monitored for health, growth, and feed conversion rate. Results: No clinical outbreak of ETEC PWD has been observed in the tested farms. Two farms faced episodes of non-ETEC enteric diseases that required treatments. Nursery weight gain was not statistically different between groups in these two farms. However, the nursery weight gain of the vaccinated pigs was significantly higher by 0.80, 0.87 and 1.24 kg than of the control pigs in three of the four farms without non-ETEC enteric diseases (p<0.05) and by 0.69 kg (p=0.051) in the fourth one, leading to numerically heavier pigs at the exit of the four nurseries. No statistically difference was observed for the feed conversion rate, though it was numerically lower for vaccinated pigs of the two tested farms. Conclusions: Recent European legislations aimed at reducing the use of antibiotics and banning therapeutic use of zinc oxide in feed are leading to a search for alternatives to compensate animal health impacts and economic losses due to PWD. These studies demonstrate that, even in the absence of convincing clinical signs of PWD, ETEC infections limit nursery pig optimal growth performance that can be mitigated by vaccination with an oral live E. coli bivalent F4/F18 vaccine. These findings corroborate previous studies showing the effect of vaccination in clinical outbreaks of PWD.
Effects of Autistic Trait-Related Joint Attention on Visual Working Memory

Background: Social attention deficits have been found in individuals with high autistic traits in the non-clinical population However, the eye movement patterns triggered by gaze direction still need to be explored in individuals with different levels of autistic traits, and it remains unknown whether autistic traits can modulate the relationship between joint attention and visual working memory. The aims of this study were to investigate the effect of autistic traits on joint attention and whether autistic traits could further influence visual working memory performance through joint attention. Methods: A total of 46 participants who scored in the top and bottom 20% on the Chinese version of the Autism-Spectrum Quotient (AQ) were divided into high- and low-AQ groups. We used a combination of the cueing paradigm, change detection task, and eye-tracking technique to explore behavioral performance and eye movement patterns. The 50% validity gaze and dot cues were set as social and nonsocial cues, respectively. Results: The low-AQ group showed shorter reaction times for the gaze-cued location but not for the dot condition and not for the high-AQ group. The low-AQ group had a higher fixation proportion, more fixation counts both in the gaze-cued and dot-cued locations, and shorter entry time into the target ROI under the valid gaze condition. The high-AQ group only showed a dot cueing effect with a higher fixation proportion and more fixation counts in dot-cued location.Limitations: The small number of memory items may have led participants to encode polygons into long-term memory, which limits the only interpretation of results on visual working memory. In addition, participants in this study were all undergraduates or graduate students, which may limit the generalizability of our findings to a broader population.Conclusions: This finding suggest that autistic traits influence the pattern of attention triggered by gaze and dot cues. Individuals with low-AQ were more adept at using gaze cues to direct attention, while high-AQ individuals were less sensitive to gaze cues and preferred non-social cues. The difference in joint attention further affected the speed of visual working memory.
Remote monitoring can predict lethal arrhythmic events through time-domain analysis of heart rate variability in patients with implantable cardioverter defibrillator

We prospectively collected device and heart rate data, i.e. heart rate variability (HRV), through remote monitoring (RM) of patients with implantable cardioverter defibrillator (ICD). Several studies have demonstrated usefulness of RM in implanted device patients, however, reports concerning the predictors of lethal ventricular arrhythmias are limited. The objective was to identify the predictors of lethal arrhythmic events (VT/VF). Thirty-three patients (mean age: 50 years) with ICDs [with functionality of HRV analysis] were divided into 2 groups [VT/VF(+), VT/VF(−)]. Clinical, device (ventricular lead impedance; amplitude of ventricular electrogram), and HRV data were compared between the 2 groups. As the index of time-domain HRV analysis, NN intervals-index (SDNNi) was calculated for every 5 minutes, and the mean, maximum, and minimum SDNNi during the 24-hour period were used. During the observation period (median 12 months), 10 patients experienced VT/VF events. In HRV data, the mean, max, and min SDNNi were higher in VT/VF(+) than VT/VF(−) group (132.9±9.3 v.s. 93.5±6.1, p=0.0013; 214.6±10.6 v.s. 167.0±7.0, p=0.0007; 71.2±7.5 v.s. 43.9±4.9, p=0.0047). The other parameters did not exhibit significant difference. On logistic regression analysis, the mean SDNNi of 100.1, max SDNNi of 185.0 and min SDNNi of 52.0 as cut-off values for prediction of VT/VF event demonstrated significant receiver operating characteristics (ROC) curves (AUC=0.86, p=0.0007; AUC=0.84, p=0.0005; AUC=0.78, p=0.0030). Furthermore, in cases of VT/VF(+) group, the max ΔSDNNi, i.e., difference from baseline SDNNi, and min ΔSDNNi in 7 and 28 days preceding VT/VF events exhibited time course changes in comparison with baseline values. They were significant predictors of VT/VF events (max ΔSDNNi cut-off: 46.8, AUC=0.91, p=0.0002; min ΔSDNNi cut-off: −42.4, AUC=0.88, p=0.0014). Time-domain analysis of HRV through RM may help identify patients at high risk of lethal arrhythmic events, and predict occurrence of such arrhythmic events. Type of funding source: None
„Kriminalität ist normal.“ Von Émile Durkheim zur aktuellen Kriminalsoziologie

Für kritische Rationalisten wie Popper ist sowohl die Wissenschaft als auch die Wissenschaftsentwicklung rational.1 Sobald Hypothesen einer Theorie widerlegt sind, bedarf es einer Modifikation der Theorie. Nach Kuhn entwickelt sich die Wissenschaft in Phasen, deren Übergang durch die Auseinandersetzung mit Widersprüchen und Anomalien gekennzeichnet ist.2 Unter bestimmten Umständen führen diese zu einem Paradigmenwechsel und somit zu einer wissenschaftlichen Revolution. Bei diesem Prozess, insbesondere bei der Frage nach der Akzeptanz einer Theorie, würden auch nichtrationale Gründe relevant werden.3 Andere Wissenschaftstheoretiker betonen die Irrationalität der Theorieentwicklung noch deutlicher.4 Dafür scheint die Kriminalsoziologie ein gutes Beispiel zu sein. Bis zur Mitte des 20. Jahrhunderts gab es Nachfolgemodelle der Theorie von Durkheim sowie andere Ansätze zur Erklärung von Kriminalität. Diese Konkurrenz von empirisch geprüften Theorien kann nach der Nomenklatur von Kuhn als „normale Wissenschaft“ bezeichnet werden. In den 1970er Jahren wurde eine intensive Diskussion geführt, die an eine vorparadigmatische Phase erinnert. Eine solche Phase ist nach Kuhn dadurch charakterisiert, dass Wissenschaftlerinnen und Wissenschaftler in erster Linie damit beschäftigt sind, andere von den Vorzügen der von ihnen präferierten Theorie zu überzeugen, wobei empirisch fundierte Argumente sekundär sind. Repräsentanten des normativen Paradigmas wurden von Anhängern der Labelingtheorie, Ethnomethodologie sowie gesellschaftskritischer Ansätze attackiert − und umgekehrt.5 Zum Teil wurde die Theorie1.
A Bus Clamping PWM-Based Improved Control of Grid Tied PV Inverter with LCL Filter Under Varying Grid Frequency Condition

This paper presents a modified Synchronous Reference Frame Phase locked loop (MSRFPLL) for better synchronizing the output of the inverter with the grid. The proposed PLL is able to track the changes in the grid frequency in a faster way as compared to the conventional synchronous reference frame PLL (SRF-PLL). In order to switch the inverter, an advanced bus clamping based space vector PWM is being used which is novel for photovoltaic application. This PWM gives better DC bus utilization as compared to the conventional Sine PWM technique. To keep the THD within a permissible limit of 5% in accordance with the IEEE-519 & 1547 standard LCL filter with passive damping is implemented. DSPACE-1104 DAC card has been used for better interfacing of the experimental set up with MATLAB. The overall system is also being simulated in MATLAB/Simulink environment and the simulated results have been validated with the experimental results.