Miracle-dz/UniFAR-FTUs huggingface dataset:
Robot: An efficient model for big data storage systems based on erasure coding

It is well-known that with the explosive growth of data, the age of big data has arrived. How to save huge amounts of data is of great importance to both industry and academia. This paper puts forward a solution based on coding technologies in big data system that store a lot of cold data. By studying existing coding technologies and big data systems, we can not only maintain the system's reliability, but also improve the security and the utilization of storage systems. Due to the remarkable reliability and space saving rate of coding technologies, importing coding schema in to big data systems becomes prerequisite. In our presented schema, the storage node is divided into several virtual nodes to keep load balancing. By setting up different virtual node storage groups for different codec server, we can ensure system availability. And by utilizing the parallel decoding computing of the node and the block of data, we can also reduce the system recovery time when data is corrupted. Additionally, different users set different coding parameters can improve the robustness of big data storage systems. We configure various data block m and calibration block k to improve the utilization rate in the quantitative experiments. The results shows that parallel decoding speed can rise up two times than the past serial decoding speed. The encoding efficiency with ICRS coding is 34.2% higher than using CRS and 56.5% more than using RS coding equally. The decoding rate by using ICRS is 18.1% higher than using CRS and 31.1% higher than using RS averagely.
Intelligent Wheelchair Robot "TAO Aicle"

Non-motorized manually operated wheelchairs are widely utilized in hospitals, welfare facilities, etc., to transport physically handicapped and elderly patients. Typically, these wheelchairs require the presence of healthcare staff who are burdened with actually moving the wheelchairs. To reduce the burden on staff in such facilities, we have developed a motorized wheelchair with autonomous traveling capability by applying robotics and mechatronics technologies. We believe that our research results will be useful for reducing the physical labor of the care workers and also promote the independence of the wheelchair users. In previous research, intelligent wheelchairs with autonomous traveling capability guided by a vision system, laser range finder, etc. have been developed and demonstrated to a limited extent (Mori, 2005) (Adachi, 2003). However, such wheelchairs are not practical due to problems of safety, reliability, high cost, etc. In this chapter we introduce an intelligent wheelchair with autonomous traveling capability called the “TAO Aicle”. This wheelchair can accurately determine its position and direction using internal sensors and assistance from the surrounding environment including the Global Positioning System (GPS) and Radio Frequency Identification (RFID). To assure safe travel, we utilize assistance from environment, especially RFID, which is a distinctive characteristic in this research. Regarding autonomous navigation of mobile robots using RFID information in the environment, some research studies have been reported (Hahnel, 2004) (Tsukiyama, 2003) (Yamano, 2004). In those studies RFIDs were attached to walls at specific points such as destinations. When the mobile robot approaches the RFIDs, it detects them and knows that it has reached its destination. This use seems to focus on identifying a place of arrival. In our system the position information is provided by RFID and the wheelchair uses it directly for its trajectory control. As the similar research, in indoor environment, the mobile robot can travel using the position information from passive RFID tags in the floor and active RFID tags on the ceiling (Kim, 2006). In this research the robot needs RFID tags arranged in the high density for precise positioning. On the other hand, in our research, we propose a position compensation method using the position information including the RFID tags which are locally arranged in the surface of a road. We also confirm the effectiveness of this compensation method by the high performance of the trajectory following (Matsumoto, 2006).
Adding flavor to AdS/CFT

Coupling fundamental quarks to QCD in the dual string representation corresponds to adding the open string sector. Flavors therefore should be represented by space‐time filling D‐branes in the dual 5d closed string background. This requires several interesting properties of D‐branes in AdS. D‐branes have to be able to end in thin air in order to account for massive quarks, which only live in the UV region. They must come in distinct sets, representing the chiral global symmetry, with a bifundamental field playing the role of the chiral condensate. We show that these expectations are born out in several supersymmetric examples. To analyze most of these properties it is not necessary to go beyond the probe limit in which one neglects the backreaction of the flavor D‐branes.
Blending Problem Based Learning and History of Science Approaches to Enhance Views about Scientific Inquiry: New Wine in an Old Bottle

In 2016, the Program for International Student Assessment (PISA) showed that approximately 44.4% of students in Turkey obtained very low grades when their scientific knowledge was evaluated. In addition, the vast majority of students were shown to have no knowledge of basic scientific terms or concepts. Science teachers play a significant role in facilitating students’ understanding of science, conceptions of scientific inquiry (SI) and the nature of science (NOS), and the transfer of those conceptions into classroom practice. Therefore, in this paper, I present my experiences of blending problem-based learning (PBL) and the history of science (HOS) with technological approaches. The study aimed to determine the effectiveness of this innovative approach in improving pre-service science teachers’ SI views. The Views about Scientific Inquiry (VASI) questionnaire was used as a data collection tool (Lederman et al., 2014). The findings showed that most of the views of pre-service science teachers improved for all SI items except “Consistent with data collected. ” The results also indicated that the teachers that used these approaches were able to overcome initial barriers in preparing lesson plans for teaching science and SI.
Predictors of Chinook salmon extirpation in California ’ s Central Valley

Chinook salmon, Oncorhynchus tshawytscha (Walbaum), populations have declined rapidly along the western coast of North America since the year 2000, possibly because of factors such as habitat loss, altered hydrology and barriers to migration. However, few analyses have rigorously examined which of these factors actually explain historical patterns of extirpation. Data were compiled on flow regimes, habitat loss and migration barriers for 27 streams that historically supported autumn run salmon and 22 streams that supported spring runs. The probability of extirpation in streams supporting autumn run was predicted solely by migration barriers. All other factors were >10 times less likely to explain existing variation. By contrast, models for spring run salmon suggest that habitat loss and altered flow regimes were also predictors of extirpation. These results suggest that regional extirpation of Chinook salmon has been driven by multiple forms of environmental change, and restoration efforts must address a multitude of bottlenecks that now impact spring and autumn run populations.
Sentiment analysis on evolving social streams: how self-report imbalances can help

Real-time sentiment analysis is a challenging machine learning task, due to scarcity of labeled data and sudden changes in sentiment caused by real-world events that need to be instantly interpreted. In this paper we propose solutions to acquire labels and cope with concept drift in this setting, by using findings from social psychology on how humans prefer to disclose some types of emotions. In particular, we use findings that humans are more motivated to report positive feelings rather than negative feelings and also prefer to report extreme feelings rather than average feelings. We map each of these self-report imbalances on two machine learning sub-tasks. The preference on the disclosure of positive feelings can be explored to generate labeled data on polarizing topics, where a positive event for one group usually induces negative feelings from the opposing group, generating an imbalance on user activity that unveils the current dominant sentiment. Based on the knowledge that extreme experiences are more reported than average experiences, we propose a feature representation strategy that focus on terms which appear at spikes in the social stream. When comparing to a static text representation (TF-IDF), we found that our feature representation is more capable of detecting new informative features that capture the sudden changes on sentiment stream caused by real-world events. We show that our social psychology-inspired framework produces accuracies up to 84% while analyzing live reactions in the debate of two popular sports on Twitter - soccer and football - despite requiring no human effort in generating supervisory labels.
Performance measure of Drop tail and RED algorithm

This Transmission control protocol (TCP) detects congestion only after a packet has been dropped and it would be undesirable to have large queue because it would significantly increase the average delay in the network. In the current high speed networks, it is increasingly important to have mechanisms that keep throughput high but average queue sizes low. This paper presents comparison between two queuing management system Random Early Detection (RED) and Drop tail for avoiding the congestion in high speed packet switched networks. In this paper we are trying to detect superfluous congestion by averaging the queue size. If average queue size exceeds with respect to required threshold value, router drops the packet with some drop probability determined by some probabilistic distribution, it can be further modified to give a better result. Drop probability of the packet is calculated by knowing the packet loss and this packet loss is minimized by modifying the congestion window size. In this paper we consider the own networks and we show the results of different protocols for particular network topology.
The social life of street food: exploring the social sustainability of street food in Hanoi, Vietnam

This research explores the social life of street food in Hanoi, Vietnam, using a conceptual framework of social sustainability. Although the economic benefits of street vending are widely recognised, little attention has previously been paid to the social aspects. Focusing specifically on the selling of street food through the lens of social sustainability, this research develops a conceptual framework from the literature. The framework comprised eight key themes: social justice, quality of life and well-being, participation, safety and security, social interactions and social networks, social inclusion, sense of place and cultural heritage and was applied empirically to the street food environment of Hanoi. The themes used in the framework were identified as the most pertinent in the literature and were grouped under three broad ideas – social justice, social relations and culture – and used to frame the thesis. The application of the social sustainability framework revealed important details about the social life and social function of the street food environment. It highlighted key areas where street food in Hanoi can be shown to contribute to the principles of social sustainability, such as regarding social relations, cultural heritage and sense of place. It also drew attention to areas that require improvement, including some aspects of social justice, for example, participation, safety and security and food hygiene. The findings of this research suggest the challenges identified that prevent the social sustainability of street food in Hanoi, often manifested themselves through the inequalities experienced between the different types of street food vendors, specifically itinerant or migrant vendors compared to local vendors with fixed selling locations. The thesis argues that the approach adopted in the research offers a useful tool for understanding the social functions of street vending which can be applied and adapted to examine the social sustainability of street food vending in other economic and political contexts.
Simulation and design of broadband circular polarization stacked patch antenna in LTCC technology

A broadband circularly-polarized (CP) stacked patch antenna to be realized in LTCC (low temperature co-fired ceramic) technology was presented. The proposed antenna was composed of the two-layer stacked patch and LTCC substrate. It was shown that the wide bandwidth was caused by a two-frequency resonance. The CP operation was obtained by cutting corners. Based on the simulation of the proposed antenna, it obtained the impedance bandwidth of 36 MHz (for S11&#60; −10 dB) and the gain of 5.69 dBi at 1.27GHz. Details of the design and characteristics of the proposed antenna were presented and discussed in this paper.
Radiological Findings of Sexual Intercourse Related Emergency Department Admissions: A First Overview

Objectives Sexuality is an essential aspect of human function, well-being and quality of life. Many people have sex without complications. However, there are some people who need to seek emergency medical help for related health problems. The aim of this study was to present a first overview of patients who received a radiological examination related to sexual intercourse based emergency department admission. Methods Our centralized electronic patient record database was reviewed for patients who had been admitted to our emergency department with an emergency after sexual intercourse between 2000 and 2011. The database was scanned for the standardized key words ‘sexual intercourse’ or ‘coitus’ retrospectively. For all patients identified in the electronic patient record database the radiological examinations were searched for manually in our Radiology Information System, and reviewed by three independent radiologists. Results One hundred and twenty nine out of 445 (29,0%) patients received a radiological examination after immediate emergency department admission related to sexual intercourse. Fifty two out of 129 (40.3%) patients had positive radiological findings while 77 (59.7%) did not. Eighty point seven percent (n = 42) of the radiological findings were a sexual intercourse-associated pathology and 19.2% (n = 10) were considered to be incidental findings. Age and male sex positively correlated with radiological imaging workup (p<0.001, respectively p<0.037). The most common sexual intercourse-associated pathology was headache attributed to cerebrovascular insult (n = 21, 40.3%) followed by epididymitis (n = 7, 16.6%) and obstructive uropathy (n = 5, 11.6%). Of the patients with headache attributed to non-traumatic intracranial hemorrhage, subarachnoid hemorrhage (n = 14, 66.6%) was the most common, followed by intracerebral bleeding (n = 4, 19.0%) and one subdural hemorrhage. Conclusions Pathological findings are manifold. Cerebral imaging is the most common type of radiological imaging performed. Further prospective and standardized studies should be performed to better evaluate the significance of radiological imaging in this patient collective with the aim to gain better knowledge on what patients profit from what type of radiological imaging when presenting with a sexual intercourse related emergency. Advances in Knowledge The present study provides a first overview on radiological findings of sexual intercourse related emergency department admissions.
Mining significant associations in large scale text corpora

Mining large-scale text corpora is an essential step in extracting the key themes in a corpus. We motivate a quantitative measure for significant associations through the distributions of pairs and triplets of co-occurring words. We consider the algorithmic problem of efficiently enumerating such significant associations and present pruning algorithms for these problems, with theoretical as well as empirical analyses. Our algorithms make use of two novel mining methods: (1) matrix mining, and (2) shortened documents. We present evidence from a diverse set of documents that our measure does in fact elicit interesting co-occurrences.
Intelli-Wrench: Smart Navigation Tool for Mechanical Assembly and Maintenance

We present Intelli-Wrench, a smart tool for providing just-in-time information for mechanical assembly and maintenance workers, which releases the workers from miss-operation and annoying manual documents. The Intelli-Wrench captures the image of a bolt head as its "fingerprint" by using FIBAR (Fingerprint Imaging by Binary Angular Reflection) imaging method. The fingerprint image is then uploaded to a cloud server and matched with parts databases in order to provide the specific information associated with the bolt. Receiving the information, the Intelli-Wrench informs the workers about the designated location and torque requirements of the bolt. This direct integration of information retrieval into a tangible tool provides immediate access to relevant information otherwise found in manual documents. Furthermore, the Intelli-Wrench automatically logs the interaction and eliminates the annoying pointing-and-calling procedure which is the traditional way of secure servicing. We demonstrate a working prototype and interaction scenario.
Individual difficulties and resources – a qualitative analysis in patients with advanced lung cancer and their relatives

Purpose Lung cancer is a disease with a high percentage of patients diagnosed in an advanced stage. In a situation of palliative treatment, both patients and their relatives experience diverse types of distress and burden. Little research has been done to identify the individual difficulties and resources for patients with advanced lung cancer and their relatives. Especially, standardized questionnaire-based exploration may not assess the specific distressing issues that pertain to each individual on a personal level. The purpose of this qualitative study is to explore and compare individual difficulties and resources for lung cancer patients and their relatives within the palliative care context. Methods Data were collected by qualitative interviews. A total of 18 participants, nine patients diagnosed with advanced lung cancer (International Classification of Diseases, tenth edition, diagnosis C-34, stage IV) starting or receiving palliative treatment and nine relatives, were interviewed. Data were interpreted through qualitative content analysis. Results We identified four main categories of difficulties: communication and conflicts, home and everyday life, thinking about cancer, and treatment trajectory. In general, difficulties were related to interpersonal relationships as well as to impact of chemotherapy. Family, professional caregivers, and social life were significant resources and offered support to both patients and relatives. Conclusion Results suggest that patient and relative education could reduce difficulties in several areas. Patients seem to struggle with the fear of not having any perspective in therapy. Relatives seem to experience helplessness regarding their partner’s deterioration and have to handle their own life and the care work simultaneously. The most important resource for both patients and relatives is their family. In addition, professional lung cancer nurses support relatives in an emotional and organizational way. Intense supportive care for relatives should be standardized.
Serial Mini-Mental Status Examination to Evaluate Cognitive Outcome in Patients with Traumatic Brain Injury

Objective This study was aimed at finding out the changes in cognitive dysfunction in patients with traumatic brain injury (TBI) and investigating the factors limiting their cognitive improvement. Methods Between January 2010 and March 2014, 33 patients with TBI participated in serial mini-mental status examination (MMSE). Their cognitive functions were statistically analyzed to clarify their relationship with different TBI status. Patients who developed hydrocephalus were separately analyzed in regards to their cognitive function depending on the placement of ventriculoperitoneal shunt (VPS). Results Bi-frontal lobe injury (β=-10.441, p<0.001), contre-coup injury (β=-6.592, p=0.007), severe parenchymal injury (β=-7.210, p=0.012), temporal lobe injury (β=-5.524, p=0.027), and dominant hemisphere injury (β=-5.388, p=0.037) significantly lowered the final MMSE scores. The risk of down-grade in the prognosis was higher in severe parenchymal injury [odds ratio (OR)=13.41, 95% confidence interval (CI)=1.31-136.78], temporal lobe injury (OR=12.3, 95% CI=2.07-73.08), dominant hemisphere injury (OR=8.19, 95% CI=1.43-46.78), and bi-frontal lobe injury (OR=7.52, 95% CI=1.31-43.11). In the 11 post-traumatic hydrocephalus patients who underwent VPS, the final MMSE scores (17.7±6.8) substantially increased from the initial MMSE scores (11.2±8.6). Conclusion Presence of bi-frontal lobe injury, temporal lobe injury, dominant hemisphere injury, and contre-coup injury and severe parenchymal injury adversely influenced the final MMSE scores. They can be concluded to be poor prognostic factors in terms of cognitive function in TBI patients. Development of hydrocephalus aggravates cognitive impairment with unpredictable time of onset. Thus, close observation and routine image follow-up are mandatory for early detection and surgical intervention for hydrocephalus.
The corporal punishment ban in schools: Teachers’ attitudes and classroom practices

Abstract This study examines Indian teachers’ perceptions of corporal punishment (CP), the reasons why CP still persists despite a ban, and the ways in which CP controversy reflects on social climate of the schools. Drawing from literature on custodial views of pupil control and systems theories, this qualitative study primarily uses observations and interviews to examine teachers’ perceptions related to use of CP in Delhi, India. Based on the data analysis this study concludes that alternatives to CP and successful implementation of the CP ban depend on compatibility between local and national sociocultural norms, teachers’ attitudes and beliefs towards the policies’ objectives, and the availability of resources. This study helps with understanding educator’s perception of corporal punishment as a disciplinary tool to spur meaningful action and change in the society. Additionally, this study creates a context for the policy-makers to develop equitable policies capable of helping teachers effectively to deal with students’ misbehaviour and creating safe learning environments.
Xanthones from the Roots of Moutabea guianensis Aubl.

The phytochemical investigation of Moutabea guianensis roots led to the isolation of five polyoxygenated xanthones, including two new ones named moutabeone B (1,8-dihydroxy-4,5,6,7-tetramethoxyxanthone) and moutabeone C (1-hydroxy-4,5,6,7,8-pentamethoxyxanthone), along with the three known xanthones, 1,8-dihydroxy-4,6-dimethoxyxanthone, 1,8-dihydroxy-4,5,6-trimethoxyxanthone and augustin A (1,8-dihydroxy-4,6,7-trimethoxyxanthone). Structural characterization of all compounds was established on the basis of spectroscopic methods, mainly 1D and 2D nuclear magnetic resonance (NMR) and comparison with literature data. The antioxidant activity of compounds was tested through a thin layer chromatography (TLC) bioautography assay using 1,1-diphenyl-2-picryl-hydrazyl radical (DPPH·) as detection reagent. All tested compounds were more active (DL < 0.13–0.03 µg) than Trolox (DL < 0.15 µg), used as reference standard.