Miracle-dz/UniFAR-FTUs huggingface dataset:
Centroid: A Remote Desktop with Multi-OS Interoperability Support

Remote desktops provide virtualized operating systems, where people can run applications and ﬁles, that can be accessed anywhere and anytime over the Internet. However, remote desktop works still incur several problems. Their overhead produces long waiting times, they are not capable of eﬃciently streaming graphically demanding applications and, when applications run on diﬀerent operating systems, they cannot communicate with each other. Therefore, our goal is to propose a solution that overcomes these issues. We propose and implement a system named Centroid capable of delivering remote desktops that support transparent communications between applications running on diﬀerent operating systems, with a particular focus on scalability, remote display quality and costs. Results show that Centroid is scalable, application communication is eﬃcient, the remote display performs twice as good as related works needing only 2/3 the bitrate, and is able to reduce costs by over 40%.
Effect of Storage Materials on Viability and Proximate Composition of Garcinia kola

: The viability and proximate composition of Garcinia kola Heckel as affected by different storage materials were studied using standard methods. Viability of the G. kola seeds stored in polyethylene bag (PB) was highest (100%) followed by that of the seeds stored in fresh plantain leaf (FPL) (86.67 ± 13.33%); cement bag paper (CBP) (73.33 ± 17.64%); dry plantain leaf (DPL) (60.00%) and the control which was exposed to the ambient temperature in the laboratory (33.33 ± 6.67%). Seeds stored in sawdust were not viable at the end of the experiment. Pre-storage proximate analyses showed that the seeds have high level of carbohydrates (52.00%), high moisture content (38.07%), and little amount of crude fat (4.18%), crude fibre (2.88%) and crude protein (2.09%) as well as negligible amount of ash content (0.78%). Results of post – storage proximate analyses showed that control seeds have higher carbohydrate, crude fibre, ash and crude protein contents with mean values of 80.71 ± 0.05%, 3.74 ± 0.01%, 1.11 ± 0.13% and 3.16 ± 0.01% respectively, compared to the results obtained from pre – storage proximate analysis. Moisture content of control seeds was lowest (9.24±0.03%) compared to seeds stored in the other storage materials. Seeds stored in polythene bag showed the lowest carbohydrate and crude protein contents of 47.65 ± 0.17% and 1.80±0.01% respectively. The same storage material contained highest amount of moisture (44.21 ± 0.76%). Seeds stored in cement bag, sawdust, fresh plantain leaf and dry plantain leaf have varying contents of carbohydrates, moisture, ash, crude fibre, crude fat and crude protein contents which were either higher or lower than those of the control and the polythene bag. The results showed that polythene bag favoured the longevity of the seeds as complete retention of viability occurred after 8 weeks in storage when compared to other storage materials. However, carbohydrate and protein in seeds were significantly reduced in this storage material.
DSM-TACE of HCC: Evaluation of Tumor Response in Patients Ineligible for Other Systemic or Loco-Regional Therapies

Abstract Purpose To analyze tumor response, survival and safety in patients with non-resectable hepatocellular carcinoma (HCC) treated with transarterial hepatic chemoembolization using degradable starch microspheres (DSM-TACE) combined with doxorubicin who had no local interventional or systemic therapy alternative according to an interdisciplinary conference. Materials and Methods In this retrospective study, 28 patients (23 male, 5 female, median age 67 years) with unresectable HCC, serum bilirubin levels < 3 mg/dl and contraindications to Sorafenib, RFA, SIRT or cTACE were included. DSM-TACE was performed using Embocept® S (15 ml) and doxorubicin (50 mg/25 ml) three times every 4–6 weeks. Patients were initially staged using the Barcelona Clinic Liver Cancer System (BCLC). Basic liver function was evaluated with the MELD-score. Tumor response was assessed using the modified Response Evaluation Criteria in Solid Tumors (mRECIST). Results DSM-TACE could be technically successfully performed in all 28 patients. At control imaging after three treatments, the overall rates of complete response (CR), partial response (PR), stable disease (SD), and progressive disease (PD) were 14.3 %, 25 %, 39.3 % and 21.4 %, respectively, according to mRECIST. With regard to BCLC stages, the results were as follows (CR, PR, PD): BCLC A (n = 8): 7.1 %, 7.1 %, 10.7 %, 1.2 %; BCLC B (n = 12): 0 %, 10.7 %, 17.9 %, 14.3 %; BCLC C (n = 5): 0 %, 3.6 %, 10.7 %, 3.6 %; BCLC D (n = 3): 3.6 %, 3.6 %, 0 %, 3.6 %. According to this, DSM-TACE showed an overall good median survival of 682 days, although the patients’ survival was strictly dependent on BCLC stage. Conclusion DSM-TACE is a safe and promising treatment alternative for patients with unresectable HCC who are ineligible for other loco-regional therapies. Key Points: DSM-TACE is a safe treatment alternative for patients ineligible for other local or systemic treatments. DSM-TACE did not influence the MELD-score in our study population. Patients treated with DSM-TACE showed an overall good median survival of 682 days, strictly dependent on BCLC stage. Citation Format Haubold J, Reinboldt MP, Wetter A et al. DSM-TACE of HCC: Evaluation of Tumor Response in Patients Ineligible for Other Systemic or Loco-Regional Therapies. Fortschr Röntgenstr 2020; 192: 862 – 869
Prevalence and Antibiotic Susceptibility of Enterobacteriaceae from Fish Samples in Allahabad, India

Aims: The present study was conducted aiming at the isolation of the pathogenic bacteria from the family enterobacteriaceae in raw, edible and apparently healthy fishes, from different fish markets of Allahabad. Study Design: Forty fish specimens were collected from eight different locations of Allahabad region. Isolation was done using selective plating. Differentiation and characterization of different isolates was based on their growth characteristics on specific culture media, their biochemical confirmatory tests and Gram-staining reactions. Place and Duration of Study: Fish samples were collected from eight different locations of Allahabad during January to May 2016 . Methodology: Isolation of enterobacteriaceae was done according to ISO Standard; ISO 21528-1:2004 and were confirmed by different set of biochemical tests and carbohydrate fermentation tests. Total soluble proteins of the organisms were estimated by Biuret method. Antibiotic susceptibility of the isolates was tested against amphicillin, streptomycin and ciprofloxacin at different concentrations. Results: Strains of Klebsiella planticola , Citrobacter youngae , Citrobacter freundii , E. coli , Klebsiella ornithinolytica and Klebsiella pneumonia were identified out of the 56 isolates obtained. All the isolated strains organisms were susceptible to antibiotics such as amphicillin, streptomycin and ciprofloxacin at different concentrations of 10, 50, 80 and 100 m g/ml. The virulent proteins were highest in K. ornitholytica (103 mg) followed by Citrobacter sp (102.8 mg/ml) . Conclusion: Fishes sold in the fish markets of Allahabad showed presence of pathogenic bacteria especially from the family enterobacteriaceae; indicate poor hygienic conditions as well as improper storage environment. The results concluded that E. coli. (48.20%) represented the major part of bacterial flora, on the fish followed by Klebsiella spp. (30.2%).
Identification of Toxigenic Aspergillus Species in Rice Produced in Khuzestan and Mycotoxins in Iimported Cereals

Background: Due to their high amount of carbohydrate and enough moisture, cereals are a good environment for the growth of toxigenic fungi. Because of the carcinogenicity and mutagenicity of mycotoxins, preventing them from entering the food chain is essential. Therefore, the present study was conducted to determine the amount and type of contaminated imported cereals and rice produced in Khuzestan province. Materials & Methods: In October and November 2015, a total of 50 random samples of rice was collected from paddy fields . Aspergillus were identified based on available diagnostic criteria and PCR. The amount and type of aflatoxin in rice samples and mycotoxins in imported cereals (winter 2015 to autumn 2016) were evaluated by HPLC. Results: Based on one sample t-test and comparing the mean of mycotoxins contaminating cereals in different seasons with national maximum standard, the amount of mycotoxins in barley and wheat were within the standard range but %8.4 of corn was higher than the permitted level (ppb5). Analysis of aflatoxins in rice also showed that 16 samples were contaminated with aflatoxin B1. Aspergillus flavus was the major pollutant (%42.1) isolated from rice. Conclusion: Aspergillus flavus is the major producer of aflatoxin B1 in domestic rice. Examination of imported cereals also showed high rates of fungal growth and production of secondary metabolites, possibly due to inadequate storage conditions, high temperature and humidity. Therefore, it is recommended to strengthen the monitoring tools in the processing and storage of rice and cereals.
Remote Sensing of Environment

Surface roughness can be defined as the mean slope angle integrated over all scales from the grain size to the local topography. It controls the energy balance of bare soils, in particular the angular distribution of scattered and emitted radiation. This provides clues to understand the intimate structure and evolution of planetary surfaces over ages. In this article we investigate the capacity of the Hapke photometric model, the most widely used in planetary science, to retrieve surface roughness from multiangular reflectance data. Its performance is still a question at issue and we lack validation experiments comparing model retrievals with ground measurements. To address this issue and to show the potentials and limits of the Hapke model, we compare the mean slope angle determined from very high resolution digital elevation models of volcanic and sedimentary terrains sampled in the Asal-Ghoubbet rift (Republic of Djibouti), to the photometric roughness estimated by model inversion on multiangular reflectance data measured on the ground (Chamelon field goniometer) and from space (Pleiades images). The agreement is good on moderately rough surfaces, in the domain of validity of the Hapke model, and poor on others.
Characterization of a 2D Fa-ce-Recognition Method based on Landmarks Position

This work is focused on the theoretical–statistical characterization of an authentication procedure for human faces that uses few face–landmarks coordinates anyway extracted from 2D face images with neutral facial–expression. The measurement uncertainty of landmarks position is due to noise sources present both in the acquisition system and in the features extraction process. This uncertainty affects the reliability of the recognition method that is expressed in terms of probability of true recog-nition ( PTR ) and false recognition ( PFR ). The authentication problem is approached by using a threshold method based on the Likelihood Ratio Test (LRT). It is an optimal detection technique, as according to the Neymann–Pearson (NP) theorem, that guarantees the minimum achievable PFR for a target PTR independently of the algorithm used for extracting features. In particular, this paper provides a theoretical criterion for determining the threshold value that a–priori guarantees the desired PTR from the knowledge of both measurements uncertainty and number of the used landmarks. Moreover, a given PFR value is assured on the basis of the target likeness degree to be discriminated between the probe and the gallery landmarks. Theoretical results are validated by means of Monte–Carlo simulations and are effectively applied also to experimental data of the Bosphorous database.
Evaluation of Train Communications in Bridges and other Metallic Structures

The objective of this work was to develop a model in order to analyse the effect of a metallic bridge in different telecommunications systems, working in the 900 (GSM), 2600 (LTE) and 5900 MHz (WiFi/BBRS) frequency bands, for railway environments. The strategy adopted in this work evolved around two main directions. The first one was simply to implement propagation models in order to calculate path loss for the various environments under study. The novelty of this work comes with the second one, which consists of an electromagnetic model, based on CST software, for the analysis of penetration losses through a metallic bridge. The model was based on the schematics of a real bridge and different configurations were tested in order to reach a compromise between an accurate representation of the real problem and limited computational resources. It is then possible to estimate maximum communication distances for given configurations, as well as performance degradations that come with the inclusion of the metallic obstruction. In what concerns GSM, viaduct environments lead a range decrease roughly from 19% to 44% relative to their maximum communication distances, whereas other scenarios can see deteriorations from 45% to 56%. For BBRS, it is concluded that the currently used distances of around 300 m between BSs are conservative. This is also the scenario where the metallic bridge yields the biggest performance decrease, with communication distances reduced around 86%. Keywords-Railway Communications; Metallic Bridges; Path Loss; CST; Throughput
Human-robot speech interaction for service robots

To develop a system that is able to understand natural language instructions ﬁrstly, as the instructions given to robots can contain more than one command, a phrase divider is developed, in which the Parsey McParseface from Google is used. Following, some experimentation is done concerning the word vectors that will be the input of the neural networks, being that the best results are achieved when the vectors are developed by the GloVe algorithm. For the intent detection and slot ﬁlling various architectures of Recurrent Neural Networks and Long Short Term Memory networks are tested, achieving LSTMs a superior accuracy. As the action requested by the human can be one that is not in the robot’s domain, a Support Vector Machine is used to determine whether it is or not. To implement the system in a robot, a ROS package is created using a SMACH state machine.
Anticipated productivity and the labor market

We identify the main shock driving fluctuations in long‐horizon productivity expectations, consistent with theories of TFP news. The identified shock induces strong comovement patterns in output, consumption, investment, employment, and stock prices even though TFP does not change significantly for more than 2 years. A labor search model in which wages are determined by a cash‐flow sharing rule, rather than the present value of match surplus, matches the observed responses to the news shock. The model also matches the empirical patterns of vacancies, labor force participation, hours, and job‐finding rates. The proposed wage rule is consistent with empirical responses of wages to both anticipated and unanticipated productivity changes.
Comparison of auditory and visual modalities for EEG-neurofeedback

Neurofeedback (NF) refers to the real-time self-regulation process, during which, using techniques such as electroencephalography (EEG), an individual is presented with a representation of a feature of interest of their own brain activity, so that they can consciously control it. The impact of the sensory modality used as the reinforcement signal representing the extracted features on training effectiveness is yet to be thoroughly assessed and documented. In this thesis, a NF-training system was developed and implemented and a study was conducted to compare the effectiveness of two sensory modalities, visual and auditory, on an EEG-based NF protocol targeting the individual upper-alpha (UA) band and working memory enhancement. Sixteen healthy volunteers were randomly assigned to the Visual or Auditory group, where a radius-varying sphere or a volume-varying sound, respectively, reflected the relative amplitude of UA measured at Cz EEG electrode. Both groups showed significant improvements within training sessions, but no significant improvements regarding working memory. Effects subsequent to NF training were also found beyond the target frequency and scalp location Cz, namely in the lower-alpha and theta bands and in posterior brain regions, respectively. Sample size was small and, thus, further investigation is required to determine if one of the modalities is effectively better. In this work, auditory sensory feedback proved to be as effective as visual, potentiating NF training protocols conducted under mobile conditions, which are possible due to the increasing availability of wireless EEG systems.
Explaining Possible Futures for Robust Autonomous Decision-Making

As humans, we consider multiple alternatives when making decisions or choices. The way we decide between these choices is to create stories and explain (to ourselves) why they are reasonable or not. But when machines make decisions, their processes are not interpretable (understandable by humans) nor explainable (able to recount the reasons and dependencies leading up to a decision). In this paper, I present a methodology to explain possible futures and utilize these explanations to make more robust and reasonable decisions moving forward. Internal explanations will be used dynamically by the parts of a complex machine to detect failure and intrusion. System-level explanations will provide a coherent and convincing story to humans for engineering, legal reasoning, and forensics.
The Effect of Portfolio Assessment on Second Language Writing Self-Regulation of Iranian EFL Students

Parisa Zohdijalal Islamic Azad University, Roudehen Branch Iran ABSTRACT As an attempt to shed more light on the effectiveness of alternative assessment in second language (L2) writing, the present study sought to investigate the effect of portfolio assessment on L2 writing self-regulation of intermediate Iranian English as a Foreign Language (EFL) learners. To this end, a number of 48 Iranian intermediate EFL students from two intact classes in a language institute were recruited as the participants in this research. The two classes were randomly assigned to an experimental group (N = 22) and a control group (N = 26). The experimental group were instructed through the use of portfolio assessment in their writing instruction, whereas the control group underwent the traditional writing instruction. The L2 writing self-regulation scale was administered as both pre-test and post-test to collect the data. The results of ANCOVA analysis demonstrated that the learners of the experimental group performed better than those of control group in L2 writing selfregulation, revealing that the use of portfolio assessment in EFL writing instruction was significantly effective in improving the writing self-regulation of the participants. The findings have some implications for instruction and assessment of EFL writing.
Hybrid Sequence Encoder for Text Based Video Retrieval

This report presents our system developed for Ad-hoc Video Search(AVS) task in TRECVID 2019 as Team ATL. In this AVS task, we apply a hybrid sequential encoder which make use of the utilities of not only the multi-modal sources but also the feature extractors such as GRU, aggregated vectors, graph modeling, etc. Our motivation is mapping video embedding and language embedding into a learned semantic space. We observe that by combining different models and make use of their utilities for feature extraction, we can take better advantage of large batches and hard examples. Our models are trained on MSRVTT [1], IACC.3,TGIF and TRECVID2016 VTT datasets with different hybrid visual and text architectures. The ﬁnal ensemble model achieves 0.163 infap and won the ﬁrst place in this task.
A Spectral Analysis of Noise: A Comprehensive, Automated, Formal Analysis of Diffie-Hellman Protocols

The Noise specification describes how to systematically construct a large family of Diffie-Hellman based key exchange protocols, including the secure transports used by WhatsApp, Lightning, and WireGuard. As the specification only makes informal security claims, earlier work has explored which formal security properties may be enjoyed by protocols in the Noise framework, yet many important questions remain open. In this work we provide the most comprehensive, systematic analysis of the Noise framework to date. We start from first principles and, using an automated analysis tool, compute the strongest threat model under which a protocol is secure, thus enabling formal comparison between protocols. Our results allow us to objectively and automatically associate each informal security level presented in the Noise specification with a formal security claim. We also provide a fine-grained separation of Noise protocols that were previously described as offering similar security properties, revealing a subclass for which alternative Noise protocols exist that offer strictly better security guarantees. Our analysis also uncovers missing assumptions in the Noise specification and some surprising consequences, e.g., in some situations higher security levels yield strictly worse security.
Quality of Life of Nurses Working in Hospital: A Cross Sectional Study from Yazd, Iran

Introduction ife is a gift from God for humans who could benefit from it throughout their life. The present century has witnessed a significant change in the attitude towards life. In this century, not only sustaining life as usual has not been considered good but also improving the quality of life in multiple fields considered to be a major aim in communities, and always having a good quality of life has been human desire (Mokhtari N Fax : :+98 21 82884547, E-mail: tavafian@modares.ac. ir Access this article online
MONETARY POLICY AND REDISTRIBUTION GUIDED BY TANK: THE MAGIC OF OUTPUT STABILIZATION AND CAPITAL ADJUSTMENT COSTS

We demonstrate that the standard two-agent new Keynesian (TANK) model without capital is able to simultaneously produce monetary policy amplification and reasonable responses to forward guidance if a central bank stabilizes output. For both deterministic and stochastic versions, we derive novel closed-form solutions for all conceivable cases of eigenvalues and analyze the effects of redistribution between participants and non-participants in asset markets. How redistribution resources are funded plays a key role in equilibrium determinacy, as well as in monetary-policy effects at the individual and aggregate levels. A stochastic version of the model counterfactually predicts that positive productivity shocks always worsens consumption inequality. The latter negative implication can be overcome in a version of the model with capital adjustment costs that realistically predicts countercylical consumption inequality. JEL Classification: C61, C63, C68, E31, E52
Performance of natural, hybrid and mechanical ventilation systems in urban canyons

The performance of natural, mechanical and hybrid ventilation systems was monitored, using the tracer gas decay method, in three typical apartment buildings located in two street canyons, during summer period 2002 in Athens. The multi-zone methodology has been adopted based on the mass balance of two tracer gases (N2O and SF6) to define the air change rates. The air-exchange efficiency was determined for different ventilation systems, on the basis of the room mean age of air. In spite of the canyon effect, appreciable ventilation rates can be obtained with natural ventilation, especially when cross ventilation with two or more windows is measured. For single-sided ventilation or under calm conditions hybrid ventilation has only a slight advantage over natural, in terms of air exchange rates.