Miracle-dz/UniFAR-FTUs huggingface dataset:
The impact of stress on the health of sugar cane cutters

OBJECTIVE Evaluate the impact of stress on sugar cane cutters and the prevalence of physical and psychological symptoms before and after harvest. METHODS We studied 114 sugarcane cutters and 109 urban workers in the pre-harvest and 102 sugar cane cutters and 81 urban workers in the post-harvest period in the city of Mendonça, SP, Southeastern Brazil, in 2009. Data analysis was based on the frequency and percentage of the assessed symptoms of stress, using the Lipp-ISSL test (Symptoms of Stress for Adults). The data were analyzed using descriptive statistics. The Fisher Test was used to compare the variable of stress between pre- and post-harvest within the sugar cane cutter and urban worker groups. P values below 0.05 were considered significant. RESULTS Stress in sugar cane cutters increased after harvesting (34.2% pre-harvest and 46.1% post-harvest); in urban workers, stress decreased from 44.0% pre-harvest to 42.0% post-harvest. There was prevalence of the phase of resistance to stress for both groups with signs more apparent from the near-exhaustion and exhaustion phases for sugar cane cutters. After harvest, there was a tendency for the number of sugar cane cutters with symptoms of near-exhaustion (6.4%) and exhaustion (10.6%) to increase. After harvest there was a trend for the number of sugar cane cutters with physical symptoms (pre-harvest = 20.5%, post-harvest = 25.5%) and psychological symptoms (pre-harvest = 64.1%; post-harvest = 70.2%) to increase. For both groups, predominantly psychological symptoms occurred in both phases (70.2% versus 64.7%). CONCLUSIONS The work process of cutting cane can cause stress. Individual factors such as cognitive perception of the experience, self-efficacy beliefs and expectations of the employee regarding their performance can influence the understanding of the reactions in their body in face of the work.
Improving the ability of mathematical modeling at the elementary school students through Problem-Based Learning-Based Scaffolding

The issue of the difficulties experienced by students is not a new thing. One form of student difficulties is the inability of students to solve problems that require a combination of real-life knowledge with mathematical knowledge received at school, namely the transition from the real world to the mathematical model and vice versa, transition model solution to the real world. Through Quasi-Experimental design with preposttest design, the researchers apply a problem based learningbased scaffolding in primary school students in Bandung, as an effort to improve students mathematical modeling capabilities. The number of students in the experimental group is as many as 89 students and the control group was 102 students. The results showed that the average value of the gain of the experimental group of 0.36, while the control group of 0,137. Differences in the distribution of both groups gain value, is seen in the medium category and low category. ANOVA test results showed that a large value of F is 222.677, indicates that there is the effect of problem-based learning-based scaffolding to increase the ability of mathematical modeling at the elementary school students . Keywords— problem-based learning, mathematical modeling,
Web image re-ranking using query specific in cloud computing

Question answering (QA) allows all users to get information in enhanced technique. In this project we suggest a system for inspiring textual answer with appropriate media data. Our system consists of three components Interpretation median picking, Inquiry propagation, Data pick and Launching. Interpretation median picking is used to select various types of answers. Inquiry propagation is used for extracting the root words from the given query. Data pick and Launching is used for selecting the appropriate answer and producing the result. We use Stemming algorithm, Naïve Bayes classifier algorithm and page ranking algorithms. Stemming algorithm is used to extract the root word from the given searched query. Naïve Bayes classifier algorithm is used for selecting the type of medium. By using the page ranking algorithm the optimal solution is got. Our approach automatically determines which media will be a best solution for the given query. It automatically harvests the data from website for getting the answer. Our approach can enable a novel multimedia question answering (MMQA) approach as users can find multimedia answers by matching their questions with those in the pool. We are enhancing community contributed answers. Any user who is unaware of data can get the information promptly. Our approach is to deal with the complex questions in an effective way. Based on the generated queries, we vertically collect image and video data with multimedia search engines.
Terapia ocupacional en unidad de cuidados intensivos

Introduccion. Desde su inicio, la terapia ocupacional ha actuado en ambientes intrahospitalarios. En la actualidad, una de las metas para la consolidacion de campos de conocimiento, atencion y prospectiva es profundizar en la intervencion que realiza el respectivo profesional en la unidad de cuidados intensivos (UCI). Objetivo. Mostrar la evidencia cientifica de la intervencion de terapia ocupacional en una UCI de adulto a traves de una revision bibliografica entre el 2010 y 2015, durante la cual se analizaron las categorias de evaluacion, modalidades de intervencion y resultados. Materiales y metodos. Estudio de caracter investigativo mixto, el cual busca especificar las fuentes teoricas y practicas que relacionan los terminos de la investigacion. Ademas, se realizo un proceso de analisis selectivo a partir de los intereses y la significancia. Resultados. La terapia ocupacional hace una caracterizacion de las actividades basandose en la movilizacion, cambios posicionales, actividades de la vida diaria, estimulacion, ferulaje, tecnologia de asistencia, entre otras; ademas trae beneficios como reduccion de estancia, complicaciones y costos. Conclusion. Se evidencia la importancia del trabajo del terapeuta ocupacional en la UCI de adulto, pues beneficios como reduccion de la estancia y mejora funcional de las personas, al momento del egreso, son claros en las investigaciones internacionales.
Process of the Encryption key using a Physical Information in the U-Healthcare Service

Abstract Recently as we enter into the world of an aging society, the U-Healthcare service is newly spotlighted. In order to secure this U-Healthcare, a development of security solution that is suitable for the U-Healthcare environment is required. But the U-Healthcare environment is difficult to apply the existing security solution with the lack of standards, a security solution with high completeness was not developed. At this point, in order to structure the safe U-Healthcare environment, a generating method of an encryption key using the body information that helps the effective key management and ensuring the confidentiality of the data is proposed. Key Words : U-Healthcare, M2M, Encryption, Bio-key, Key management Received 17 December 2013, Revised 17 January 2014Accepted 20 January 2014Corresponding Author: Gab-Sang Ryu(Dongshin University) Email: gsryu@dsu.ac. krⒸ The Society of Digital Policy & Management. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.otg/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is ISSN: 1738-1916 properly cited.
The Association Between Pelvic Fractures (Ring and Acetabulum Fractures) and Other Organ System Injuries

Pelvic fractures are often associated with injuries of intra-abdominal organs and intrathoracic injuries. Between January 1, 2004 and June 31, 2009, at the Clinic for Orthopaedic Surgery and Traumatology, Clinical Center Nis, 216 patients with pelvic disruption were treated. All patients were evaluated according to sex, age, mechanism of injury, anatomical injury scale (AIS), injury severity scale (IIS), type of fracture, method of treatment, associated injuries of visceral organs, duration of hospitalization and monitoring of the patient check-ups. The aim of this work was to determine the frequency of occurrence of intra-abdominal and intrathoracic injuries in patients with pelvic fractures and to study the relationship between different types of fractures. In the analyzed group there were 116 (53.7%) male patients and 100 (46.3%) female patients. The average age of patients was 45.3 years. In total, there were 139 isolated fractures of the pelvis. In relation to the mechanism of injury, 153 patients had sustained low energy trauma, while 63 patients had sustained high energy trauma. In the group of patients with the fracture of the pelvis sustained under the force of low intensity, 17 patients had fallen from the ladder, whereas 136 patients had fallen at home. In patients with the injury that occurred under the force of high intensity, 49 patients were injured in car accidents, and 14 had fallen from a great height. Combined injuries of intra-abdominal and intrathoracic organs with pelvic fracture were observed in 28 (12.9 %) patients. Acta Medica Medianae 2015;54(3):27-33.
"The Voice That Will Drown All the City": Un-Gendering Noise in "The Roaring Girl"

Critical city comedy, discussion The of Roaring Thomas Girl Middleton , has by and and Thomas large focused Dekker's on l6ll the visual transgression of cross-dressing.1 Yet, as the play's very title suggests, The Roaring Girl is centrally concerned with the transgressive potential of hearing and speaking, that is, not only cross-dressing but also "cross-talking. "2 This essay argues for the centrality of the o/aural in the play's construction of its title character. More so than visual stimuli, sound resists the spatial fixity that so often circumscribes representations of the female body on the early modern stage. The Roaring Girl, Moll Cutpurse, emerges as a figure of the volatile and mobile o/aural phenomenon of noise as it traverses a variety of embodied, theatrical, and geographic spaces. These spaces include the intricate anatomy of the ear and the vocal apparatus, both of which in the carnivalesque atmosphere of city comedy become linked with the anatomic spaces of the lower body stratum; the o/aural space of the early modern playhouse; and, finally, the acoustic space or "soundscape" of the city of London that the play endeavors to represent. Since the early 1980s, critics working from both feminist and queer studies perspectives have persistently situated either the theatricalized or the "real," historical Moll Cutpurse, also known as Mary Frith, along what one author dubs the "subversive/submissive" axis.3 She is either a forward-looking breacher of cultural norms or an
A land-cover change detection method using data-oriented composite-kernel-based one-class support vector machine

Abstract In many change detection applications, the focus is often on one specific change class. The one-class support vector machine (OCSVM)-based change detection method has been proved effective for dealing with such problems, which only requires samples from the change class of interest as the training data. However, this classical method only uses a single kernel which limits its separating capabilities in real-world applications. To further improve the efficacy of the OCSVM-based change detection method, this paper proposes an improved change detection method that uses a data-oriented composite-kernel-based one-class support vector machine. It utilizes the feature information entropy of the training data to determine the kernel weights in constructing a composite kernel. Experimental results on two data-sets demonstrate that the proposed method outperforms the existing classical OCSVM-based change detection method and the traditional composite-kernel-based method with relatively few false alarm errors, and shows good potential for further applications.
ROLE OF DIFFERENT JUICES IN THE MANAGEMENT OF OSTEOARTHRITIS, RHEUMATOID ARTHRITIS AND BACKACHE - A REVIEW

Skeletal system is a very important system of living body. If any malformation occurs it leads to severe problems which are highly intolerable by an individual. Some of the diseases comes under this are osteoarthritis, rheumatoid arthritis, backache, etc. Management of such diseases is now based on diagnosis, but still it is complicated to treat and associated causes are difficult to find out in many cases. Mainly diet plays a major and important role in prevention of skeletal disorders, under diet regimen different combination of fruit and vegetable juices plays a vital role in management of diseases. Modification in combination of juices and knowledge of their chemical constituent helps in management of skeletal disorder. Due to deficiency of mineral, vitamin or other necessary component is find out, we can use the natural supplement in the form of juices which are rich in minerals, vitamins and get easily digest and minimize the risk of the disease and provide soothing results. Juices of spinach, broccoli, apple, parsley, cherry, blueberry, ginger root, carrot, lettuce, kale, turnip, etc. plays an important role in management of different types of skeletal disorders. By proper knowledge of chemical constituent of fruits and vegetable we may minimize the risk of diseases associated with skeletal system and helps the sufferer up to a better extent.
NIST Big Data Interoperability Framework: Volume 5, Architectures White Paper Survey

Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is outpacing scientific and technological advances in data analytics. To advance progress in Big Data, the NIST Big Data Public Working Group (NBD-PWG) is working to develop consensus on important fundamental concepts related to Big Data. The results are reported in the NIST Big Data Interoperability Framework series of volumes. This volume, Volume 5, presents the results of the reference architecture survey. The reviewed reference architectures are described in detail, followed by a summary of the reference architecture comparison.
International Physical Activity Questionnaire

The International Physical Activity Questionnaires (IPAQ) comprises a set of 4 questionnaires. Long (5 activity domains asked independently) and short (4 generic items) versions for use by either telephone or self-administered methods are available. The purpose of the questionnaires is to provide common instruments that can be used to obtain internationally comparable data on healthrelated physical activity.
Measurements of reflection and transmission characteristics of interior structures of office building in the 60 GHz band

We have measured, at 57.5 GHz, the reflection and transmission coefficients of typical walls, floor, ceiling, window, and partitions and have compared the measured reflection characteristics with the reflection characteristics estimated by multi-layer dielectric models. Although the positional inhomogeneity of structure types gives rise to some variation from one measured position to another, these positional variabilities are not large, The overall trend of reflection coefficients calculated by multi-layer dielectric models thus mainly agrees well with the trend of the measurements. We have shown that the use of circular polarization can reduce the reflection even if the interior parts of the structure have complicated structures. In addition, the shadowing effects of several types of partitions were measured. The transmission coefficients of partitions depend on the materials. The losses due to plywood partitions are very low, but a metallic partition shields millimeter waves.
User Intent Prediction in Information-seeking Conversations

Conversational assistants are being progressively adopted by the general population. However, they are not capable of handling complicated information-seeking tasks that involve multiple turns of information exchange. Due to the limited communication bandwidth in conversational search, it is important for conversational assistants to accurately detect and predict user intent in information-seeking conversations. In this paper, we investigate two aspects of user intent prediction in an information-seeking setting. First, we extract features based on the content, structural, and sentiment characteristics of a given utterance, and use classic machine learning methods to perform user intent prediction. We then conduct an in-depth feature importance analysis to identify key features in this prediction task. We find that structural features contribute most to the prediction performance. Given this finding, we construct neural classifiers to incorporate context information and achieve better performance without feature engineering. Our findings can provide insights into the important factors and effective methods of user intent prediction in information-seeking conversations.
Broadcasting Information subject to State Masking over a MIMO State Dependent Gaussian Channel

The problem of channel coding over the Gaussian multiple-input multiple-output (MIMO) broadcast channel (BC) with additive independent Gaussian states is considered. The states are known in a noncausal manner to the encoder, and it wishes to minimize the amount of information that the receivers can learn from the channel outputs about the state sequence. The state leakage rate is measured as a normalized blockwise mutual information between the state sequence and the channel outputs’ sequences. We employ a new version of a state-dependent extremal inequality and show that Gaussian input maximizes the state-dependent version of Marton’s outer bound. Further, we show that our inner bound coincides with the outer bound. Our result generalizes previously studied scalar Gaussian BC with state and MIMO BC without the state.
Answer Interaction in Non-factoid Question Answering Systems

Information retrieval systems are evolving from document retrieval to answer retrieval. Web search logs provide large amounts of data about how people interact with ranked lists of documents, but very little is known about interaction with answer texts. In this paper, we use Amazon Mechanical Turk to investigate three answer presentation and interaction approaches in a non-factoid question answering setting. We find that people perceive and react to good and bad answers very differently, and can identify good answers relatively quickly. Our results provide the basis for further investigation of effective answer interaction and feedback methods.
On the Descriptive Complexity of Color Coding

Color coding is an algorithmic technique used in parameterized complexity theory to detect “small” structures inside graphs. The idea is to derandomize algorithms that first randomly color a graph and then search for an easily-detectable, small color pattern. We transfer color coding to the world of descriptive complexity theory by characterizing—purely in terms of the syntactic structure of describing formulas—when the powerful second-order quantifiers representing a random coloring can be replaced by equivalent, simple first-order formulas. Building on this result, we identify syntactic properties of first-order quantifiers that can be eliminated from formulas describing parameterized problems. The result applies to many packing and embedding problems, but also to the long path problem. Together with a new result on the parameterized complexity of formula families involving only a fixed number of variables, we get that many problems lie in FPT just because of the way they are commonly described using logical formulas.
Picking a Needle in a Haystack: Detecting Drones via Network Traffic Analysis

We propose PiNcH, a methodology to detect the presence of a drone and its current status leveraging just the communication traffic exchanged between the drone and its Remote Controller (RC). PiNcH is built applying standard classification algorithms to the eavesdropped traffic, analyzing features such as packets inter-arrival time and size. PiNcH does not require either any special hardware or to transmit any signal. Indeed, it is fully passive and it resorts to cheap and general purpose hardware. To evaluate the effectiveness of our solution, we collected real communication measurements from the 3DR SOLO drone, being the most popular open-source hardware, running the widespread ArduCopter open-source firmware, mounted on-board on a wide range of commercial amateur drones. Then, we test our solution against different publicly available wireless traces. The results prove that PiNcH can efficiently and effectively: (i) identify the presence of the drone in several heterogeneous scenarios; (ii) identify the current state of a powered-on drone, i.e., flying or lying on the ground; (iii) discriminate the movement of the drone; and, finally, (iv) estimate a lower bound on the time required to identify a drone with the requested level of assurance. The quality and viability of our solution do prove that network traffic analysis can be successfully adopted for drone identification and pave the way for future research in the area.
Understanding Rowhammer Attacks through the Lens of a Unified Reference Framework

Rowhammer is a hardware-based bug that allows the attacker to modify the data in the memory without accessing it, just repeatedly and frequently accessing (or hammering) physically adjacent memory rows. So that it can break the memory isolation between processes, which is seen as the cornerstone of modern system security, exposing the sensitive data to unauthorized and imperceptible corruption. A number of previous works have leveraged the rowhammer bug to achieve various critical attacks. In this work, we propose a unified reference framework for analyzing the rowhammer attacks, indicating three necessary factors in a practical rowhammer attack: the attack origin, the intended implication and the methodology. Each factor includes multiple primitives, the attacker can select primitives from three factors to constitute an effective attack. In particular, the methodology further summarizes all existing attack techniques, that are used to achieve its three primitives: Location Preparation (LP), Rapid Hammering (RH), and Exploit Verification (EV). Based on the reference framework, we analyze all previous rowhammer attacks and corresponding countermeasures. Our analysis shows that how primitives in different factors are combined and used in previous attacks, and thus points out new possibility of rowhammer attacks, enabling proactive prevention before it causes harm. Under the framework, we propose a novel expressive rowhammer attack that is capable of accumulating injected memory changes and achieving rich attack semantics. We conclude by outlining future research directions.
Distributed Access Control with Blockchain

The specification and enforcement of network-wide policies in a single administrative domain is common in today's networks and considered as already resolved. However, this is not the case for multi-administrative domains, e.g. among different enterprises. In such situation, new problems arise that challenge classical solutions such as PKIs, which suffer from scalability and granularity concerns. In this paper, we present an extension to Group-Based Policy — a widely used network policy language-for the aforementioned scenario. To do so, we take advantage of a permissioned blockchain implementation (Hyperledger Fabric) to distribute access control policies in a secure and auditable manner, preserving at the same time the independence of each organization. Network administrators specify polices that are rendered into blockchain transactions. A LISP control plane (RFC 6830) allows routers performing the access control to query the blockchain for authorizations. We have implemented an end-to-end experimental prototype and evaluated it in terms of scalability and network latency.