Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Different Types of Exercises on Body Composition in Young Men and Women

The purpose of this study was to determine the effects of different types of exercises on body composition in young men and women. Thirty-seven physical education and sports college students participated in the study voluntarily. Height, body weight, body mass index, and waist-to-hip ratio measurements were held. Skinfold measurement taken from seven sites was conducted by a caliper and percent body fat values were calculated by using the Siri equation. After completing the pre-test measurements, the subjects were randomly assigned into one of these groups: aerobic exercise, resistance exercise, and combined (both aerobic and resistance). At the end of the 10-week training period, paired t-test results showed that there was a significant (p<0.05) decrease in the aerobic exercise and combined exercise group subjects’ body weight, body mass index, waist-to-hip ratio, % body fat, and skinfold measurements. In the resistance exercise group, while there was a significant (p<0.05) decrease in the % body fat, skinfold, and waist-to-hip ratio values, changes in the body weight and body mass index were not significant (p>0.05). ANOVA test results revealed no significant differences among the exercise groups on body compositions. These results showed that aerobic and combined exercises had a decremental influence on the body weight, body mass index, % body fat, skinfold, and waist-to-hip ratio values. Resistance exercises showed an influence on decreasing % body fat rather than decreasing body weight. [Ucan Y. Effects of Different Types of Exercises on Body Composition in Young Men and Women. Life Sci J 2013;10(3):1799-1806] (ISSN:1097-8135). http://www.lifesciencesite. com. 269
Multiphase machine theory and its applications

Compared with their three-phase counterparts, multiphase machines with phase number n ges 5 have many advantages like lower torque pulsation, higher power density, better fault tolerance, etc. Due to these advantages and the increasing demands on high performance and high power adjustable speed drives, the research on multiphase drives has experienced a significant growth since the end of last century. In this paper, after a brief analysis to the MMF and a brief description to the mathematical model, it is revealed the design specialty, the new design freedom and multi-control freedom of multiphase machine. And finally, typical applications of the new design- and control-freedoms are surveyed.
DESIGN OF A MOBILE BRAIN TRAINING TOOL FOR SENIORS’: MOTIVATIONAL REQUIREMENTS

The overall goal of this project is to design, develop, and validate a mobile phone-based ‘brain training’ software suite targeted at senior users, using iterative person-centered design methodologies, that will permit a subsequent clinical trial of cognitive stimulation efficacy known as the SONICS Study (Stirling-OregonNorthern Ireland-Chicago Cognitive Stimulation Study). The SONICS Study will represent a long term (c. 15 year), very large scale (n=12,000), embedded clinical trial that aims to definitively establish whether or not brain training acts to prevent dementia or cognitive decline. It is anticipated that participant compliance in such a study will be a significant concern. This study seeks to identify the key motivational factors influencing seniors’ engagement with mobile brain training technology in order to inform the design of a brain training tool which is acceptable / enjoyable to target users.
Research on Scalable Case Representation and Its Retrieval Based on Description Logic

In recent years, the combination of Case-Based Reasoning (CBR) and domain knowledge has become a hotspot in CBR field. Different knowledge representation ways bring about different influences of CBR system performance. This paper makes a summarization and an analysis of deficiencies in integration between traditional knowledge representation and CBR, based on which it proposes a scalable case representation model using Description Logic (DL). Moreover, the corresponding case retrieval algorithm is also presented. The domain knowledge in CBR system mainly serves for the case retrieval and revision. Furthermore, the integration usage of domain-knowledge should be determined according to the actual demand and application background . These are the focus of emphasis of the presented model . Keeping the CBR system's merits, the model provides a approach to flexible use of domain knowledge.
Thermal Maximum 2 and H 2 High-resolution deep-sea carbon and oxygen isotope records of Eocene

Eocene Thermal Maximum 2 (ETM2) and H2 were two short-lived global warming events that occurred ~2 m.y. after the Paleocene–Eocene thermal maximum (PETM, ca. 56 Ma). We have generated benthic foraminiferal stable carbon and oxygen isotope records of four sites along a depth transect on Walvis Ridge (~3.5–1.5 km paleodepth, southeast Atlantic Ocean) and one site on Maud Rise (Weddell Sea) to constrain the pattern and magnitude of their carbon isotope excursions (CIEs) and deep-sea warming. At all sites, ETM2 is characterized by ~3 °C warming and a –1.4‰ CIE. The H2 event that occurred ~100 k.y. later is associated with ~2 °C warming and a –0.8‰ CIE. The magnitudes of the δ13C and δ18O excursions of both events are signifi cantly smaller than those during the PETM, but their coherent relation indicates that the δ13C change of the exogenic carbon pool was similarly related to warming during these events, despite the much more gradual and transitioned onset of ETM2 and H2. on June 30, 2010 geology.gsapubs. org Downloaded from
Sigmoid Volvulus – A Radiological Interpretition

A volvulus is an abnormal twisting of the bowel on its mesenteric axis greater than 180 degrees [1],which produces an obstruction of the intestinal lumen and mesenteric vessels. Only a satisfactorily long mesenteric axis, as in the case of sigmoid colon, allows this torsion. The predisposing factors for the sigmoid volvulus are indeed the length of the sigmoid colon and the colon distension due to chronic constipation. The trigger factor causing the twisting of the sigmoid colon, maximally distended by the faecal impaction in constipated patients, is a quick emptying of the terminal faecal column portion in the sigma rectum[2]. The diagnosis of acute sigmoid volvulus is established by clinical and radiological findings. In the majority of patients, a thorough physical examination and abdominal radiographs are adequate to achieve the diagnosis. Typical symptoms include sudden abdominal pain and distension followed by constipation. The most common signs are abdominal tenderness and asymmetrical abdominal distention. Other findings include abnormal bowel sounds, abdominal tympany, a palpable abdominal mass, emptyrectum, and dehydration[3]. Plain radiographs are diagnosticin 57% 90% of patients[4, 5]. The classical sign of acute sigmoid volvulus is the coffee bean sign. Abdominal CT usually reveals a dilated colon with an air/fluid level and the “whirl sign”, which represents twisted colon and mesentery[6]. Nonoperativedetorsion is advocated as the primary treatment choice in uncomplicated acute sigmoid volvulus. Although rectal tubes, barium enemas or rigid sigmoidoscopy have been widely used, flexible sigmoidoscopy is now the preferred nonoperative procedure. Nonoperative treatment is successful in 70% 91% of cases, with reported complication rates of 2% 4.7% in geriatric patients[7, 8].
De-Noising of Gaussian Noise using Discrete Wavelet Transform

Image De-noising of noisy image is play an important role in the field of image processing. Different Image De- noising methods are used for different noisy images. In this paper we have shown the different results of image De-noising of noisy image using Discrete Wavelet Transform (DWT). De- noising of natural images used in this paper corrupted by Gaussian noise using wavelet techniques are very effective because of its ability to capture the energy of a signal in few energy transform values. The performance of image de-noising of noisy image is shown in terms of PSNR, MSE and visual perception. The performance of calculated result shows improved Mean Square Error and Peak Signal to Noise Ratio.
Behavioural similarity analysis for supporting the recommendation in PAbMM

The transactions through Internet continuously happen and represents a propitious field for the data stream processing. Moreover, the decision making process associated with the online processing, requires support or knowledge from previous experiences. With the aim of to be more accuracy in the managing and retrieving of the organizational knowledge (or previous experiences), we introduce a model for the behavioural similarity analysis from similar structurally entities based on a measurement and evaluation framework. This analysis is added to the structural similarity analysis in the processing architecture based on measurement metadata for better supporting of the recommendation based on the organizational memory. The behavioural analysis allows limiting the search space of available recommendations in the organizational memory and to be more accuracy for recommending courses of action. It is a key asset in the processing of the measurement streams, on the one hand, before situations in which there not exists specific previous experiences related to an entity under monitoring; on the other hand, considering that the organizational memory is hosted on a big data ecosystem.
Perfect Tracking Control of Servo Motor Based on Precise Model with PWM Hold and Current Loop

In motion control, position control systems of servomotors are generally designed without considering a current loop and dynamics of a PWM inverter. In this paper, a novel precise model of servomotor is developed including the current loop and the PWM inverter, and the high-speed servo system is proposed based on perfect tracking control with the precise model. Finally, simulations and experiments are performed to show the advantages of the proposed method.
Transient Dielectric Response of Conduction on Humid Mica

In a study aimed at elucidating the physical nature of the widely observed low-frequency dispersion (LFD) in carrier-dominated dielectrics, we report a study of the time dependence of surface conduction on humid mica in relation to the ambient humidity and the amplitude of the step-function voltage. This system shows clear LFD behavior in the frequency domain and is known to be nonlinear with voltage. Surface conduction along the cleavage planes on humid mica is reported to have a time dependence fully consistent with LFD, but while the charging current is proportional to the applied voltage less an internal EMF of approximately 1 V, the discharge current is voltage-independent. The behavior is shown to be fully consistent with a model involving a secondary battery, probably arising at the mica-aluminum contact, and an internal humidity-dependent surface resistance. The results clearly confirm the validity of the earlier assumption that the LFD phenomena are related to electrochemical interactions and cannot be reconciled with normal electrostatic charge and energy storage. The model explains the enormously high low-frequency capacitances observed in many LFD systems, sometimes exceeding 100 F/m2.
Mono-grooved circular waveguide polarizers

This paper presents a unique type of polarizer that is composed of a circular waveguide with an only groove. The presented polarizer is suitable for realizing compact size and reducing degradation in performance due to manufacturing inaccuracy. An accurate design of the polarizer is performed using mode-matching techniques. A W-band polarizer has, been designed, and the results of error analysis have verified the high efficiency of the presented polarizer.
Economic Model Predictive Control for Power Plant Process

Economic model predictive control (EMPC) is a combined control strategy of real time optimization of time-varying process economics and a feedback Model Predictive Controller (MPC) to track the timevarying set-point. In this work, we focus on the two-layer integrated framework of EMPC for non-linear processes. The upper layer consists of an EMPC, carries out economic process optimization to obtain the optimal steady states. A Lyapunov based MPC (LMPC) in the lower layer is forced to operate on these steady states. The LMPC tracks the time varying set point by maintaining the closed loop system states in a predefined stable region. The improved economic performance of the non-processes is demonstrated through some closedloop simulation for the optimal operation of a power plant.
On the Robustness of Distributed Orthogonalization in Dense Wireless Networks

This paper examines capacity scaling in dense wireless fading networks, where L single-antenna source-destination terminal pairs communicate concurrently through a common set of K single-antenna relay terminals using two-hop half-duplex relaying. In the perfectly synchronized case, assuming perfect channel state information (CSI) at the relays (coherent network), the network capacity is known to scale (asymptotically in K for fixed L) as C = L 2 log(K)+O(1) [1]. Moreover, relay partitioning as described in [1] and matched-filtering at the relay terminals achieves network capacity with independent (coherent) decoding at the destination terminals. On a conceptual level this result implies that coherent relaying orthogonalizes the effective multiple-input multiple-output (MIMO) channel between the source and the destination terminals in a distributed fashion, hence the name “distributed orthogonalization”. In the absence of CSI at the relay terminals (noncoherent network), it was shown in [1] that a simple amplify-and-forward protocol, asymptotically in K for fixed L, turns the network into a point-to-point MIMO link with high-SNR capacity C = L 2 log(SNR) + O(1). The results in [1] were derived under the idealistic assumptions of perfect synchronization, perfect CSI at the relays and frequency-flat fading. The purpose of this paper is to relax these assumptions and study the resulting impact on the scaling laws in [1] assuming single-antenna terminals. Our contributions can be summarized as follows: • We demonstrate that lack of synchronization in the network, under quite general conditions on the synchronization error characteristics, leaves the capacity scaling laws for both coherent and March 15, 2005 DRAFT
Detecting winter wheat phenology with SPOT-VEGETATION data in the North China Plain

Monitoring phenological change in agricultural land improves our understanding of the adaptation of crops to a warmer climate. Winter wheat–maize and winter wheat–cotton double-cropping are practised in most agricultural areas in the North China Plain. A curve-fitting method is presented to derive winter wheat phenology from SPOT-VEGETATION S10 normalized difference vegetation index (NDVI) data products. The method uses a double-Gaussian model to extract two phenological metrics, the start of season (SOS) and the time of maximum NDVI (MAXT). The results are compared with phenological records at local agrometeorological stations. The SOS and MAXT have close agreement with in situ observations of the jointing date and milk-in-kernel date respectively. The phenological metrics detected show spatial variations that are consistent with known phenological characteristics. This study indicates that time-series analysis with satellite data could be an effective tool for monitoring the phenology of crops and its spatial distribution in a large agricultural region.
Symmetry-breaking orbital anisotropy observed for detwinned Ba(Fe1-xCox)2As2 above the spin density wave transition

Nematicity, defined as broken rotational symmetry, has recently been observed in competing phases proximate to the superconducting phase in the cuprate high-temperature superconductors. Similarly, the new iron-based high-temperature superconductors exhibit a tetragonal-to-orthorhombic structural transition (i.e., a broken C4 symmetry) that either precedes or is coincident with a collinear spin density wave (SDW) transition in undoped parent compounds, and superconductivity arises when both transitions are suppressed via doping. Evidence for strong in-plane anisotropy in the SDW state in this family of compounds has been reported by neutron scattering, scanning tunneling microscopy, and transport measurements. Here, we present an angle-resolved photoemission spectroscopy study of detwinned single crystals of a representative family of electron-doped iron-arsenide superconductors, Ba(Fe1-xCox)2As2 in the underdoped region. The crystals were detwinned via application of in-plane uniaxial stress, enabling measurements of single domain electronic structure in the orthorhombic state. At low temperatures, our results clearly demonstrate an in-plane electronic anisotropy characterized by a large energy splitting of two orthogonal bands with dominant dxz and dyz character, which is consistent with anisotropy observed by other probes. For compositions x > 0, for which the structural transition (TS) precedes the magnetic transition (TSDW), an anisotropic splitting is observed to develop above TSDW, indicating that it is specifically associated with TS. For unstressed crystals, the band splitting is observed close to TS, whereas for stressed crystals, the splitting is observed to considerably higher temperatures, revealing the presence of a surprisingly large in-plane nematic susceptibility in the electronic structure.
Proteomics Analysis of Molecular Risk Factors in the Ocular Hypertensive Human Retina.

PURPOSE To better understand ocular hypertension-induced early molecular alterations that may determine the initiation of neurodegeneration in human glaucoma, this study analyzed retinal proteomic alterations in the ocular hypertensive human retina. METHODS Retina samples were obtained from six human donors with ocular hypertension (without glaucomatous injury) and six age- and sex-matched normotensive controls. Retinal proteins were analyzed by two-dimensional LC-MS/MS (liquid chromatography and linear ion trap mass spectrometry) using oxygen isotope labeling for relative quantification of protein expression. Proteomics data were validated by Western blot and immunohistochemical analyses of selected proteins. RESULTS Out of over 2000 retinal proteins quantified, hundreds exhibited over 2-fold increased or decreased expression in ocular hypertensive samples relative to normotensive controls. Bioinformatics linked the proteomics datasets to various pathways important for maintenance of cellular homeostasis in the ocular hypertensive retina. Upregulated proteins included various heat shock proteins, ubiquitin proteasome pathway components, antioxidants, and DNA repair enzymes, while many proteins involved in mitochondrial oxidative phosphorylation exhibited downregulation in the ocular hypertensive retina. Despite the altered protein expression reflecting intrinsic adaptive/protective responses against mitochondrial energy failure, oxidative stress, and unfolded proteins, no alterations suggestive of an ongoing cell death process or neuroinflammation were detectable. CONCLUSIONS This study provides information about ocular hypertension-related molecular risk factors for glaucoma development. Molecular alterations detected in the ocular hypertensive human retina as opposed to previously detected alterations in human donor retinas with clinically manifest glaucoma suggest that proteome alterations determine the individual threshold to tolerate the ocular hypertension-induced tissue stress or convert to glaucomatous neurodegeneration when intrinsic adaptive/protective responses are overwhelmed.
Adaptation of Floating Point DSP-Based Technology for Small Variable-Speed Wind Turbine

In this article we present the design and development of a control board that uses of two floating point digital signal processors to control a double converter inside a small wind turbine induction generator. The algorithms programmed on the processors have the ability to perform a vector control over the transient torque on the generator, controlling at the same time the flux of active and reactive power supplied to the network. Bearing in mind that requirements for robustness and maintenance reduction are a must when designing a micro wind turbine generator, the developed control system eliminates the need for position and shaft speed sensors and greatly reduces the size of the filter in the network connection.
An Extension of the Hajnal–Szemerédi Theorem to Directed Graphs

Hajnal and Szemerédi proved that every graph G with |G| = ks and δ(G)⩾ k(s − 1) contains k disjoint s-cliques; moreover this degree bound is optimal. We extend their theorem to directed graphs by showing that every directed graph $\vv G$ with | $\vv G$ | = ks and δ( $\vv G$ ) ⩾ 2k(s − 1) − 1 contains k disjoint transitive tournaments on s vertices, where δ( $\vv G$ )= min v∈V ( $\vv G$ )d −(v)+d +(v). Our result implies the Hajnal–Szemerédi theorem, and its degree bound is optimal. We also make some conjectures regarding even more general results for multigraphs and partitioning into other tournaments. One of these conjectures is supported by an asymptotic result.
Wireless communication in robot soccer: A case study of existing technologies

This paper will explain about the communication technology between the host PC and the robots that are used in currently used by robot soccer manufacturer and also institutes that have robot soccer systems. It will explain about the requirement that are needed for a robot soccer system and takes a look at the technology that these systems employ. The technology is listed are commercially available technology, or of the market products. A comparison of the advantage and disadvantages of each technology is tabulated followed an experiment and its results with discussion on the obtained results is done.
Ontology-based 3D pose estimation for autonomous object manipulation

In this paper a novel solution to the problem of guiding a robotic gripper in order to perform manipulation tasks, is presented. The proposed approach consists of two main modules corresponding to the training and testing sessions, respectively. During training, we employ an ontology-based framework with a view to the establishment of a database holding information regarding several geometrical attributes of the training objects. An accurate estimation of the 3D pose of an object-target is obtained during the testing phase and through the efficient exploitation of the established database. The most common solution to the 3D pose estimation problem implies extensive training sessions that are based on oversampled datasets containing several instances objects captured under varying view-points. However, such an approach engenders high complexity accompanied by large computational burden. We address this issue by proposing an ontology-based framework and a fuzzy-based approach that is able to efficiently interpolate between two known instances of the trained objects. Experimental results justify both our theoretical claims and our choice to adopt an ontology-based solution.