Miracle-dz/UniFAR-FTUs huggingface dataset:
Modelling a grading scheme for P2P accommodation: Stars for Airbnb

This study aims, firstly, to determine whether hotel categories worldwide can be inferred from features that are not taken into account by the institutions in charge of assigning such categories and, if so, to create a model to classify the properties offered by P2P accommodation platforms, similar to grading scheme categories for hotels, thus preventing opportunistic behaviours of information asymmetry and information overload. The characteristics of 33,000 hotels around the world and 18,000,000 reviews from Booking.com were collected automatically and, using the Support Vector Machine classification technique, we trained a model to assign a category to a given hotel. The results suggest that a hotel classification can usually be inferred by different criteria (number of reviews, price, score, and users’ wish lists) that have nothing to do with the official criteria. Moreover, room prices are the most important feature for predicting the hotel category, followed by cleanliness and location.
A Model Predictive Control Approach on Dynamic Bike Reposition

Over the last few years, Bike Sharing Systems (BSS) have emerged as a solution to tackle the “last mile” problem associated with public transportation, as well as to improve the sustainability and decarbonization of cities. One major challenge associated with BSSs is the need to respond to the fluctuating demands by the users in order to provide a good costumer service. The key solutions to this problem include a good prediction algorithm and an efficient rebalancing method. With the introduction of the General Data Protection Regulation law in Europe, current datasets of European bike sharing systems are more restricted. With less data available, the existent prediction algorithms need adaptations and lose accuracy. Building on prior research, a Meteorology Similarity Weighted K-nearest-neighbors algorithm is adapted to be used to predict both the pick up and drop off demands, on a station level basis, considering the most similar days in terms of weather features. We propose a convex Model Predictive Control approach to tackle the dynamic repositioning problem, which considers the station level demands and outputs a system level solution while trying to minimize the customer loss and at the same time reducing the reposition cost associated. The MPC reposition method was evaluated using a simulator to model the system dynamics with real-world datasets, where it was compared against existent reposition methods in order to evaluate its performance.
INTRUSION DETECTION SYSTEM USING CLOUD COMPUTING

- Many systems use servers to manage and store their data, sometimes the servers are slowed down because of multiple user requests. Most of which are attackers or unauthorized users and some are genuine users. In computing, a denial-of-service (DoS) attack is an attempt to make a machine or network resource unavailable to its intended users. A Distributed Denial of Service (DDoS) attack is an attempt to make an online service unavailable by overwhelming it with traﬃc from multiple sources. They target a wide variety of important resources, from banks to news websites, and present a major challenge to making sure people can publish and access important information. A distributed denial-of service (DDoS) is where the attack source is more than one, often thousands of unique IP addresses. Flooding is one of the typical DDoS attacks that exploit normal TCP connections between a client and a target web server. In this project we are trying to devise a DDoS anomaly detection method on Cloud that implements a detection algorithm against the Flooding attacks.
The Impact of Intensive Versus Standard Control of Glycemia on the Risk of Poor Kidney Outcomes and Mortality in Patients with Type 2 Diabetes: A Meta-Analysis of Randomized Studies

Background: The impact of targeting intensive glycemic control on the risk of developing renal complications in type 2 diabetes (T2DM) is controversial and an updated evidence is required from randomized clinical trials (RCTs). Objectives: To conduct a meta-analysis of the effects of intensive versus standard glycemic control interventions on the risk of developing renal complications and death in T2DM. Methods: Three scientific databases were searched for eligible RCTs and their updated post-hoc analyses to identify the impact of intensive glycemic control on the risk of incident microalbuminuria (MA) and doubling of serum creatinine (primary outcomes) as well as macroalbuminuria, ESRD, renal death and all-cause mortality (secondary outcomes). Pooled effect estimates and 95% confidence intervals (95% CIs) were computed based on risk ratios (RRs) and time-to-event data (hazard ratios [HRs]). Results: A total of 13 articles (corresponding to eight RCTs) were included (31,111 patients, 61.23% males). The risks of MA, doubling of serum creatinine, ESRD, death from kidney disease, and all-cause mortality were not changed by intensive glucose control. However, the risk of macroalbuminuria decreased with the tight control compared to standard interventions (RR = 0.73, 95%CI, 0.66 to 0.80, p < 0.001 and HR = 0.71, 95%CI, 0.61 to 0.81, p < 0.001). Performance bias was evident in six trials (75%). Conclusion: There was a 27% reduced risk of macroalbuminuria with intensive glucose control despite the lack of effects on other clinically meaningful outcomes of overt nephropathy. Future randomized studies should report renal outcomes based on large sample sizes, long-term follow-up periods, and using novel and reliable biomarkers of nephropathy.
Cytotoxicity Effects of Nano-SiO_2 and Normal SiO_2 Particles on Hela Cells

In order to explore and compare the cytotoxicity induced by nano-SiO2 and normal SiO2 particles, Hela cells were exposed to these two particles with different concentrations(0.05、0.1、0.2、0.4、0.8、1.6μg·μL-1) for 12h. The MTT assay was applied to measure the cytotoxicity. Results showed that, low concentration(≤0.2μg·μL-1) nano-SiO2 and normal SiO2 had no significant toxicity to Hela cells(p0.05). While in the high concentration, nano-SiO2 (≥0.4μg·μL-1) and normal SiO2(≥0.8μg·μL-1)had significant toxicity to Hela cells(p0.01), and the cytotoxicity increased with the increase of concentrations. Nano-SiO2 induced greater cytotoxicity than normal SiO2 at the same concentration(p0.05) when the concentration was above 0.4μg·μL-1. It was concluded that both nano-SiO2 and normal SiO2 particles could induce cytotoxicity to Hela cells, and nano-SiO2 showed greater cytotoxicity than normal SiO2 particles. Low concentration(≤0.2μg·μL-1) nano-SiO2 and normal SiO2 were well biocompatible with Hela cells, and this characteristic probably had a good application foreground in biomedical research.
Ultra-fast hybrid systems for protecting direct current circuits with high magnetic energy

For the protection of MVDC and LVDC systems, magnetic blow-out switches (MBOS) with an arc in atmospheric air are usually used. The devices have been known for over 120 years and they are being continuously improved. The MBOS switches off short-circuit currents by an increase in arc resistance Ra in the ceramic extinguishing chamber, which absorbs the energy of the power source and magnetic energy of the circuit. When the arc resistance increases sufficiently to meet the following condition: Ra > Us/i(t) ¡ Rs (where Us is the supply voltage, i(t) – current course, and Rs – short circuit resistance), the current derivative di/dt is always negative until the current reaches zero. Therefore, in DC circuits, when the magnetic energy increases, the switching life of MBOS decreases. The greatest magnetic energies, of even up to 10 MJ, are found in superconductive electromagnets (SE). This exceeds the capabilities of extinguishing chambers used in MBOS. In emergency situations, to dissipate these energies a technique of bypassing the main switch with a dump resistor RD is used. After opening the switch and extinguishing the arc, RD takes over the SE supply current. The magnetic energy of SE is converted in the RD into heat released to the environment. In this case, the high speed of the switch operation, i.e. the shortest possible total break time Tb, has a great impact on reducing the harmful effects of SE’s failure [9]. The search for new technical solutions for DC circuit-breakers, much faster than MBOS, is stimulated by the increasing needs in rail transport in DC1 and DC2 systems. This is caused by the tendency to increase the acceleration and speed of the
Consumer Experience in Using Airline Services Indonesia during the Covid-19: Role Trust and Advocacy

This study aims to prove the effect of information quality and service quality on customer experience and its impact on customer trust and customer advocacy. Customer experience is used as the primary assessment between behavior before making a purchase and behavior after purchasing. This type of research is explanatory research, which uses direct surveys of airline passengers in Indonesia through an online questionnaire to obtain primary data. Then it is processed using the smartpls3 application. The results showed that information quality and service quality had a direct effect on customer experience and indirectly had an impact on customer trust and customer advocacy. Service quality has the most dominant influence on customer experience than information quality. Information quality and service quality have an indirect effect on customer advocacy through customer experience and customer trust. Keywords— information quality, service quality, customer experience, trust, advocacy
Induction Motor Speed Control with Solar Cell Using MPPT Algorithm by Incremental Conductance Method

In the world, optimizing energy and finding new sources is important because of the increased consumption that occurred in all aspects of life. Nowadays, the world suffers of the reduction in the fossil fuel continuously. One solution to this problem is the sun and the photovoltaic (PV) cell. To get the benefits of PV, the DC/DC and DC/AC converters and inverters are combined in one set to get the better usage of these capabilities. Induction motor (IM) is the horsepower in the industry and will be considered the load in this work. The DC/DC Converter is used for control of IM speed in combination with maximum power point tracking (MPPT). Temperature and radiation change constantly over time, and the maximum energy should be tracked. This follow-up was performed using Incremental Conductance method (INC). INC is control buck-boost duty cycle converter. We get the best performance in INC technology and have less effect on the system. This algorithm uses INC of the MPPT to control half of horse power of IM. The sine pulse width modulation technique (SPWM) is used with three level inverters. Simulation on the Three-phase proves the efficiency of the suggested technique.
Effects of model complexity on speed and accuracy of visual servoing for manipulation

To perform ﬁne manipulation tasks without error, it is necessary for the robot to position his ﬁngers with very high accuracy and precision. Using a sophisticated model, a recursive pose estimation by a particle ﬁlter based on visual data can provide this, but may fail to provide the necessary speed. My work therefore focuses on estimating the inﬂuence of diﬀerent model parameters to the accuracy and speed of the pose estimation. The most important parameter is the number of particles, which increases the accuracy strongly up to a number of 500. In addition, the computational cost scales linear with the number of particles. Diﬀerent techniques using the GPU to reduce the time per particle are presented and evaluated. To improve the accuracy two techniques are presented and their eﬀect discussed: tracking the whole robot instead of only the end-eﬀector and masking the camera image us-ing the current joint encoder values. Using the developed particle ﬁlter a robot could perform a precision movement with a success rate of 75%
Production of jacaranda plantlets by minicutting Produção de mudas de jacaranda por miniestaquia

The objective of this study was to investigate the production of jacaranda (Jacaranda mimosifolia D. Don) plantlets by minicutting. For this, a mini-clonal hedge was established to supply sprouts for minicuttings. For adventitious rooting, the minicuttings were treated with hydroalcoholic solution of indolebutyric acid at concentrations of 0, 1000, and 2000 mg L-1 and grown in a greenhouse. The survival of minicuttings was evaluated at 30, 60, and 90 days, and rooting, callus, sprouting, leaf area, root area, aerial dry mass, root dry mass, total dry mass, and aerial/root dry mass ratio were assessed at 90 days. The rooted minicuttings were treated with different volumes of nutrient solution (0, 25, and 50 mL) and were evaluated for survival, height, diameter, leaf area, root area, aerial dry mass, root dry mass, and aerial/root dry mass ratio of the plantlets after 30 days of cultivation in a shade house and full sunlight. Jacaranda can be established in a mini-clonal hedge for the production of shoots necessary for the preparation of minicuttings. The minicuttings are rooted in a greenhouse without use of indolebutyric acid. The plantlets produced can be acclimatized in a shade house and rustified in full sun. Jacaranda plantlets can be produced by minicuttings.
Research Proposal Offline text-independent writer identification by learning the global feature vectors via triplet CNN

Writer identification based on handwriting plays an important role in forensic analysis of the documents. Convolutional Neural Networks have been successfully applied to this problem throughout the last decade. Most of the research that has been done in this area has concentrated on extracting local features from handwriting samples and then combining them into global descriptors for writer retrieval. Extracting local features from small patches of handwriting samples is a reasonable choice considering the lack of big training datasets. However, the methods for aggregating local features are not perfect and do not take into account the spatial relationship between small patches of handwriting. This research aims to train a CNN with triplet loss function to extract global feature vectors from images of handwritten text directly, eliminating the intermediate step involving local features. Extracting global features from handwriting samples is not a novel idea, but this approach has never been combined with triplet architecture. A data augmentation method is employed because training a CNN to learn the global descriptors requires a large amount of training data. The model is trained and tested on CVL handwriting dataset, using leave-one-out cross-validation method to test the soft top-N, hard top-N performance.
Fizeau–Foucault apparatus

Fizeau–Foucault apparatus is a term sometimes used to refer to two types of instrument historically used to measure the speed of light. The conflation of the two instrument types arises in part because Hippolyte Fizeau and Léon Foucault had originally been friends and collaborators. They worked together on such projects as using the Daguerreotype process to take images of the Sun between 1843 and 1845[1] and characterizing absorption bands in the infrared spectrum of sunlight in 1847. [2]
Protective Effects of Bone Marrow Mesenchymal Stem Cells (BMMSCS) Combined with Normothermic Machine Perfusion on Liver Grafts Donated After Circulatory Death via Reducing the Ferroptosis of Hepatocytes

Background To improve the quality of liver grafts from extended-criteria donors donated after circulatory death (DCD), this study explored whether bone marrow mesenchymal stem cells (BMMSCs) combined with normothermic machine perfusion (NMP) have protective effects on DCD donor livers and the effects of ferroptosis in this procedure. Material/Methods Twenty-four male rat DCD donor livers were randomly and averagely divided into normal, static cold storage (SCS), NMP, and NMP combined with BMMSCs groups. Liver function, bile secretion, and pathological features of DCD donor livers were detected to evaluate the protective effects of NMP and BMMSCs on DCD donor livers. Hydrogen peroxide was used to induce an oxidative stress model of hepatocyte IAR-20 cells to evaluate the protective effects of BMMSCs in vitro. Results Livers treated with NMP combined with BMMSCs showed better liver function, relieved histopathological damage, reduced oxidative stress injury and ferroptosis, and the mechanism of reduction was associated with downregulation of intracellular reactive oxygen species (ROS) and free Fe2+ levels. BMMSCs showed significant protective effects on the ultrastructure of DCD donor livers and ROS-induced injury to IAR-20 cells under electron microscopy. BMMSCs also significantly improved the expression level of microtubule-associated protein 1 light chain 3 (LC3)-II in both DCD donor livers and ROS-induced injured IAR-20 cells, including upregulating the expression of ferritin. Conclusions BMMSCs combined with NMP could reduce the level of ROS and free Fe2+ in oxidative stress damaged rat DCD donor livers, potentially reduce the ferroptosis in hepatocytes, and repair both morphology and function of DCD donor livers.
The effect of tuberositas tibia osteotomy on patellofemoral joint pressure: An experimental animal study

Aim: To demonstrate the decrease in patellofemoral pressure with an anterior elevation of tuberositas tibia. Therefore, we have performed Maquet’s Technique to evaluate the patella pressure on femoral trochlea by biomechanically in an animal experiment model. Methods: This study includes total of 42 knees of 21 New Zealand rabbits. Animals were divided into two groups. The first group including 21 right knees was designated as the control group. In the second group including 21 left knees, anterior elevation of tuberositas tibia (Maquet’s technique) was performed. Pressure measuring film layer “prescala” (Fujifilm, Japan) was placed on the patellofemoral joint under anesthesia in both groups. Mean values of both average and maximal pressure measurements in two groups were compared. Results: There is a statistically significant difference in between average pressure and maximum pressure in the right and left legs of the rabbits. Average pressure and maximal pressure at rabbit knees performed Maquet’s procedure were significantly lower than knees without Maquet’s procedure. Conclusion: Anterior elevation of tuberositas tibia is successful in reducing patellofemoral joint pressure which can be used in cases with patellofemoral pain syndrome non-responding to conservative treatment.
Detecting Pathogen-Associated RNA via Piecewise Isothermal Testing achieving Sample-to-Result Integration

We report a novel piece-wise isothermal nucleic acid test (PINAT) for diagnosing pathogen-associated RNA that embeds an exclusive DNA-mediated specific probing reaction with the backbone of an isothermal reverse-transcription cum amplification protocol as a unified single-step procedure. This single step sample-to-result test method has been seamlessly integrated in an inexpensive, scalable, pre-programmable and portable instrument, resulting in a generic platform technology for detecting nucleic acid from a wide variety of pathogens. The test exhibited high sensitivity and specificity of detection of SARS-CoV-2 infection when assessed using 200 double-blind patient samples, conducted by the Indian Council of Medical Research (ICMR), reporting a positive and negative percent agreement of 94.6% and 98% respectively. We also established its efficacy in detecting Influenza-A virus infection, performing the diagnosis at the point of collection with uncompromised detection rigor. The envisaged trade-off between advanced laboratory-based procedures with the elegance of common rapid tests renders the innovation to be ideal for deployment in resource-limited settings towards catering the needs of the underserved.
Racial and Ethnic Inequities in Mortality During Hospitalization for Traumatic Brain Injury: A Call to Action

The health disparities which drive inequities in health outcomes have long plagued our already worn healthcare system and are often dismissed as being a result of social determinants of health. Herein, we explore the nature of these inequities by comparing outcomes for racial and ethnic minorities patients suffering from traumatic brain injury (TBI). We retrospectively reviewed all patients enrolled in the Trauma One Database at the Oregon Health & Science University Hospital from 2006 to October 2017 with an abbreviated injury scale (AIS) for the head or neck >2. Racial and ethnic minority patients were defined as non-White or Hispanic. A total of 6,352 patients were included in our analysis with 1,504 in the racial and ethnic minority cohort vs. 4,848 in the non-minority cohort. A propensity score (PS) model was generated to account for differences in baseline characteristics between these cohorts to generate 1,500 matched pairs. The adjusted hazard ratio for in-hospital mortality for minority patients was 2.21 [95% Confidence Interval (CI) 1.43–3.41, p < 0.001] using injury type, probability of survival, and operative status as covariates. Overall, this study is the first to specifically look at racial and ethnic disparities in the field of neurosurgical trauma. This research has demonstrated significant inequities in the mortality of TBI patients based on race and ethnicity and indicates a substantive need to reshape the current healthcare system and advocate for safer and more supportive pre-hospital social systems to prevent these life-threatening sequelae.
Postoperative morbidity after liver resection- A Systemic review, meta-analysis, and metaregression of factors affecting them.

Aim of the study: This systemic review and meta-analysis aimed to analyze post-operative morbidity after liver resection, and also study various factors associated with mortality via metaregression analysis. Material and Methods: PubMed, Cochrane Library, Embase, google scholar, web of science with keywords like liver resection; mortality; hepatectomy. Weighted percentage post-operative morbidities were analyzed. Meta-analysis and meta-regression were done by the DerSimonian-Liard random effect model. Heterogeneity was assessed using the Higgins I2 test. Publication bias was assessed using a funnel plot. Funnel plot asymmetry was evaluated by Eggers test. Morbidity was defined as any postoperative morbidity mentioned. Results: A total of 46 studies was included in the final analysis. Total 45771 patients underwent liver resections. 16111 patients experienced complications during the postoperative period. Weighted post-operative morbidity was 30.2% ( 95 % C.I. 24.8-35.7%). Heterogeneity was high with I2 99.46% and p-value <0.01. On univariate analysis, major liver resections were significantly associated with heterogeneity. (p=0.024). However, residual heterogeneity was still high with I2 98.62%, p<0.001. So, multifactor metaregression analysis major hepatectomy (p<0.001), Open hepatectomy (p=0.001), cirrhotic liver (p=0.002), age (p<0.001), blood loss (p<0.001), and colorectal metastasis (p<0.001) independently associated with postoperative morbidity. Residual heterogeneity was moderate I2= 39.9% and nonsignificant p=0.189. Conclusion: Liver resection is associated with high postoperative morbidity and various factors like major hepatectomy, Open hepatectomy, cirrhotic liver, blood loss, and colorectal metastasis were associated with morbidity and responsible for heterogeneity across the studies.