Miracle-dz/UniFAR-FTUs huggingface dataset:
Preview-based optimal inversion for output tracking: application to scanning tunneling microscopy

Optimal inversion of system dynamics can be used to design inputs that achieve precision output tracking. However, a challenge in implementing the optimal-inversion approach is that the resulting inverse input tends to be noncausal. The noncausality of the optimal inverse input implies that the desired output trajectory must be prespecified, and cannot be changed online. Therefore, the optimal inverse can only be used in trajectory planning applications (where the entire desired output is known in advance). The article shows that the noncausal optimal inverse input can be computed using a preview-based approach. Properties of the optimal inverse are analyzed and the amount of preview time needed is quantified in terms of the required accuracy in output tracking, the poles and zeros of the system, and the cost function used to design the optimal inverse. The proposed approach is applied to precision (nanoscale) positioning of a scanning tunneling microscope (STM). Experimental results are presented to show that finite preview of the desired output-trajectory is sufficient to achieve a substantial increase in the STM's operating speed.
Misogynists Have Feelings, Too: An Analysis of Circulating Affect in The Red Pill

This thesis is a critical discourse analysis that seeks to identify and understand the various affects circulating within the anti-feminist, reactionary group, The Red Pill. The central argument is that, despite The Red Pill’s desire to cultivate an emotionless “essential masculine,” affect is made visible in these environments when it moves or circulates in the form of emotionally charged discourse. INDEX WORDS: Masculinity, Affect Theory, Emotion, Sara Ahmed, Men, Reactionary Movements, Misogyny, Sexuality, Patriarchy MISOGYNISTS HAVE FEELINGS, TOO: AN ANALYSIS OF CIRCULATING AFFECTS WITHIN “THE RED PILL”
Using a Computer-Assisted Instruction Program to Replace the Traditional Library Tour: An Experimental Study.

The purpose of this study was to determine if college fresh men who use a computer-assisted instruction (CAI) pro gram had higher adjusted posttest means from pretest to posttest than students who took a traditional library tour or students with no formal library instruction. To accomplish this objective 172 students were divided into three groups that consisted of a computer-assisted instruction group, a tour group, and a control group. Each group was given a pretest, subjected to the treatment of the CAI program or the tour, and then administered a posttest that determined the amount of difference in the learning that took place be tween the two tests. The results indicated that the CAI pro gram was an effective alternative to the traditional library orientation/instruction tour.
A Tutorial on Particle Filters for Online Nonlinear/NonGaussian Bayesian Tracking

Increasingly, for many application areas, it is becoming important to include elements of nonlinearity and non-Gaussianity in order to model accurately the underlying dynamics of a physical system. Moreover, it is typically crucial to process data on-line as it arrives, both from the point of view of storage costs as well as for rapid adaptation to changing signal characteristics. In this paper, we review both optimal and suboptimal Bayesian algorithms for nonlinear/non-Gaussian tracking problems, with a focus on particle filters. Particle filters are sequential Monte Carlo methods based on point mass (or ? >particle ? >) representations of probability densities, which can be applied to any state-space model and which generalize the traditional Kalman filtering methods. Several variants of the particle filter such as SIR, ASIR, and RPF are introduced within a generic framework of the sequential importance sampling (SIS) algorithm. These are discussed and compared with the standard EKF through an illustrative example.
Evaluating the Impact of a School Waste Education Programme upon Students', Parents' and Teachers' Environmental Knowledge, Attitudes and Behaviour

In the following study we have evaluated the impact of a school education programme upon students', parents' and teachers' environmental knowledge, attitudes and behaviour. Students (aged 11–13) from primary schools in Kraków, Poland, participated in the programme over a period of four months and together with their parents and teachers were surveyed using questionnaires at the conclusion of the programme. Overall, findings revealed that the programme improved student knowledge and awareness of municipal waste. Improvement in knowledge weakly correlated with age, enjoyment of the programme and self-reported learning. Three quarters of the students shared their learning with their parents and a third attempted to improve waste practices in their homes. The majority of parents reported that the programme was valuable and confirmed frequent family discussions often leading to a change in household attitudes and waste practices. Teachers also evaluated the programme positively, recommending its implementation as an ideal solution to the national waste problems. Other results of the study are discussed and suggestions for instruction are provided.
Motion Pictures as an Aid to Education

T HE idea of using motion pictures in education is as old as the motion pic.ture itself. From the day of its invention, "educational" possibilities of the motion picture have been recognized. Edison himself, generally called "the father of the motion picture," believed from the beginning that the chief contribution of the motion picture would be to education. "The motion picture," he said, "is destined to revolutionize our education system, and . in a few years it will supplant largely, if not entirely, the use of textbooks. " ' That leading educators of the early decades of the motion picture development shared this belief is seen in a statement made by a school superintendent in an address before the National Education Association in 1914:
EDITORIALS Reflections on Breast Self-examination

The potential for breast self-examination (BSE) to aid women in the control of breast cancer has been recognized for more than 60 years ( 1 ). Nevertheless, in the mid-1990s, the efficacy of BSE has yet to be established firmly. Thus, the implementation of a large, randomized, controlled trial of BSE in Shanghai by Thomas et al. ( 2 ), the design of which is described in meticulous detail in this issue of the Journal, is to be applauded.
External provisional locked plating for a reduction aid in closed tibial fractures treated with intramedullary nailing: technical trick

I ntramedullary nailing (IMN) of tibial shaft fractures has become the standard for many orthopaedic surgeons treating tibial shaft fractures. IMN allows the surgeon to provide fracture stabilization, earlier mobilization, preservation of the soft tissues and anatomic reduction, maintaining the four basic principles given to us by the AO in 1958. The latter, anatomic reduction, remains the biggest challenge with IMN of complex tibial fractures. This challenge is reported most frequently in proximal third tibial fractures but is also commonly experienced with segmental injuries (Figure 1). Lang et al. reported that 84% of patients who underwent IMN of proximal third tibial fractures had sagittal deformities of 5 degrees or greater. To help correct the malalignment and counteract deforming forces, new techniques have been developed. These include extended or semi-extended nailing, suprapatellar nailing, femoral distractors, external fixation, provisional fixation of open fractures, blocking screws and combined plate fixation with IMN. Provisional plate fixation has been previously described in the clinical setting of open tibial fractures treated by IMN. The locking plate technology offers a novel option for temporary external fixation of tibial fractures while minimizing damage to the soft tissues in closed tibial fractures. This technology has become readily available at most centers in small fragment sets and, at some institutions, can even offer a cost savings over traditional external fixators. This allows for IMN techniques without battling with the deforming forces of the lower leg. At our institution this was achieved using a small fragment locking plate placed into an external fixation construct. OPERATIVE TECHNIQUE
Gesture extraction and recognition research based on Kinect depth data

Aiming at the problem that gesture recognition technology based on vision required a lot on environment and background,this paper presented a gesture extraction and recognition scheme based on depth data.It utilized Microsoft Kinect to capture gesture depth map,converted the depth map to 3D point cloud,and then used depth map filter to obtain gesture data.After direction adjustment for the gesture,calculated and imported the interval distribution feature of gesture depth information to support vector machine for training,thus implementing gesture recognition for number gesture 1 to 5.Experimental results show that the average recognition rate of this scheme is 95%,and the scheme makes high precision with simple device and good robustness.
Risk Factors, Frequency, and Causes of Falling in Geriatric Persons Who Has Had a Limb Removed by Amputation

Purpose This study was planned to investigate falls, their frequency, reasons, and consequences in the older patient with lower limb amputations. Methods Twenty-five patients with lower limb amputations were included in the study. A questionnaire for falling was applied. Functional levels of these patients were determined according to the Medicare Functional Level System. Results The falling questionnaire revealed that except for 5 patients with amputations, the subjects had experienced an incident of falling once or more than once. The common reasons for falls turned out to be losing balance, stumbling on the prosthesis, and colliding with someone. Conclusions It was concluded that performing comprehensive evaluations in which falling histories were assessed before planning rehabilitation programs enriched the rehabilitation programs by suggesting different types of activities.
A New Secure OpenID Authentication Mechanism Using One-Time Password (OTP)

Nowadays, OpenID is a popular specification and provided by several large websites. It is decentralized, open standard to authenticate user's identity. We don't deny that OpenID has some disadvantages. In our proposal, we try to improve the performance of OpenID. The proposed OpenID authentication mechanism is embedded with One-time password (OTP) technology which solves the security problems of OpenID. We also illustrate the OpenID architecture with OTP and a typical authentication process between mobile terminal and OpenID provider. Finally, we analyses the system security and performance of OpenID. The results demonstrate the proposed authentication mechanism will be safer than the standard OpenID system.
Erythema Migrans in Primary Health Care

Lyme borreliosis (LB) is the most common vector-borne disease in the northern hemisphere, and southern Sweden is a highly endemic area. In over 70% of the cases, LB is represented by the non-disseminated cutaneous form erythema migrans (EM). This thesis has its focus on EM from a primary health care perspective in southern Sweden, including aspects on epidemiology, the clinical picture, gender differences and the climate. In paper III, an annual mean incidence rate over 460 cases of EM per 100,000 inhabitants was found in the county of Blekinge. Over 98% of the cases were treated in primary health care and almost every second case occurred during the vacation months of July and August. In paper I, individuals in southern Sweden treated and recovered from EM were followed during a period of 5 years. Annually, 1% were 'reinfected', i.e. had a new infection with LB during the follow-up. This is significantly higher than the prevalence of LB in the area in 1992-1993 of 0.07% (p < 0.001), indicating that individuals with a former infection are at a higher risk of LB. In paper IV studying patients with EM, where genospecies were confirmed by PCR, 74% of the patients were infected with B. afzelii and 26% were infected with B. garinii. B. garinii seemed to cause more intense local and systemic inflammatory reactions than B. afzelii. Totally, 45% (38/85) of the lesions were annular, 46% (39/85) were non-annular and 9% (8/85) were atypical. An interaction between gender and genospecies was found that has not been described before. Men to a higher extent than women developed annular EM while women more often developed non-annular EM, if infected with B. afzelii. Surprisingly, time duration from tick bite to diagnosis was not found to have an effect on the clinical appearance of the EM. In paper II, antibiotic treatment of EM with pcV and doxycycline was found to be highly effective and no cases of disseminated LB were found in patients followed for 5 years. The incidence rate of EM was significantly higher in women than men (506/100,000 vs 423/100,000 p < 0.001) and especially women over 50 years were affected (paper III). Additionally, significantly more women than men were reinfected, 6% and 1%, respectively (p < 0.01). All infected women were over the age of 44 years and they were tick-bitten to the same extent as the men (paper I). Immunological differences might have an impact on, and explain, the observed gender differences. The seasonal incidence rates of EM varied considerably. Different climate factors were found to influence the EM incidence rates (paper III).
Context effect on problem solving during a first immersion in a Virtual Environment

La realite virtuelle est une technologie permettant de nouvelles formes d'interaction entre l'homme et la machine. La manipulation directe d'objets a consistance virtuelle, ayant des caracteristiques specifiques, amene l'utilisateur a etre present dans un contexte visuo-centre, presentant des lois physiques nouvelles par rapport a celles de l'environnement reel. Ce travail essaye de tester l'hypothese que ce nouveau type de contexte aurait des effets significatifs sur les traitements cognitifs. Des situations particulieres de resolution de probleme ont ete choisies pour mettre en evidence cette influence possible. Les problemes choisis sont des problemes-pieges presentant de caracteristiques de surface non pertinentes pour leur resolution. La premiere experience realisee montre que les sujets immerges ne reussisent pas a donner des reponses rationnelles a des problemes pour enfants, presentes visuellement en environnement virtuel. La seconde experience confirme les premiers resultats, sur des problemes-pieges presentes oralement durant l'immersion. Ces resultats indiqueraient une dependance du champ de validite d'un raisonnement vis-a-vis du contexte dans lequel celui-ci se realise.
Prevalence and Predictors of Chronic Musculoskeletal Pain in the Population of Punjab.

The information about prevalence and associated risk factors of musculoskeletal pain remains to be examined in the population of Punjab, India, the present cross sectional study examined 493 subjects from tertiary health care hospitals of Punjab to examine the prevalence and predictors of chronic musculoskeletal pain. Musculoskeletal disorders and associated chronic pain was assessed by Nordic Musculoskeletal Questionnaire (NMQ) and Numerical rating Scale (NRS). Depression, cognition and sleep quality was examined using Patients Health Questionnaire-9 (PHQ-9), Mini Mental State Examination (MMSE) and Pittsburgh Sleep Quality Index (PSQI) respectively. The prevalence of mild, moderate and severe pain was observed to be 15.41, 20.69 and 21.10percent in women, which is 1.59 to 1.87folds higher (P23 kg/m2,low income group, sedentary life style, low density lipoprotein (LDL) >100 mg/dl, triglycerides (TG) >150 mg/dl, statin use, depression and poor sleep quality (P 23kg/m2, depression and poor sleep quality emerged as independent predictors of chronic musculoskeletal pain. The present study revealed that higher prevalence of pain in musculoskeletal disorders is evident in the population of Punjab, especially in women and majority of these patients remain undiagnosed for significant concomitants.
Digital Processing Of X-band Varan-s Airborne Sar Images

This paper describes the techniques developed to process SAR data obtained by the CNES X-Band VARAN-S Airborne SAR during the Agrisar-86 campaign on the Italian test-site. The processing has been performed starting from the sensor "raw-data" , whose main characteristics are the analogical range compression, the azimuthal pre filtering and decimation, all executed in real-time onboard. The SAR data have been firstly compressed in azimuth by means of a matched filter in the frequency domain. The filter parameters were­ derived from standard clutter lock and autofocus algorithms. With regard to the autofocus, two partial Doppler bands of some azimuth lines at different ranges were used for a correlation process to find the true sequence of the Doppler rate values. Point and extended targets have been selected on the resulting full resolution images in order to assess both the data and processing quality. In order to fully exploit the use of these SAR images, their radiometric calibration has been performed utilizing the echo signal from trihedral corner reflectors The availability of ground truth enabled to assess the, validity of the textural characterization of crop types, where the textural analysis is based on the co-occurrence matrix method.
A Centralized MAC-Level Admission Control Algorithm for Traffic Stream Services in IEEE 802.11e Wireless LANs

Summary The admission control algorithm that can be performed at the MAC (Medium Access Control) layer in a real-time is proposed for the decision for accepting or rejecting the requests for adding traffic streams to an IEEE 802.11e wireless LAN (Local Area Network). In numerical examples, we apply the proposed admission control algorithm to VOIP (Voice Over Internet Protocol) traffic streams, and obtain the maximum numbers of VOIP traffic streams that can be admitted to IEEE 802.11a/e, IEEE 802.11b/e and IEEE 802.11g/e wireless LANs for various delay requirements.
Detection of malay phrase breaks using energy and duration

A simpler approach to identify and classify phrase breaks in prosodic phrasing using energy patterns and duration is useful in speech segmentation. Prosodic phrasing is useful to segment lengthy spontaneous speech into smaller meaningful utterance without analysis of linguistic information. We propose a listening test that allow trained listener to classify the boundaries as minor or major breaks. This cheaper and faster approach is proven useful for under-resource language such as Malay which do not have comprehensive prosodic-annotated corpus. Word-related energy and duration features are extracted from the targeted phrase breaks. The training feature set is developed from evaluation of targeted phrase break from 100 sentences evaluated in the listening test. Evaluation of the features with RBF, MLP and logistics models reveal best detection accuracy of 80.6% which is comparable to existing context-based algorithm. Instead of labeling the phrase break using linguistic and phonetic meaning, the proposed listening test allows labeling of phrase break as perceived by listener. In addition, the results can be use as preliminary information for evaluation of boundary salience at the targeted boundary locations.
Rebalancing a Lopsided Global Economy

The growth in global current account imbalances has produced a lopsided global economy, characterised by large lenders and large borrowers, large savers and large consumers, and large exporters and large importers. For many years, the G20 has committed to reducing these imbalances. But has it been successful? Are the G20's policy prescriptions for reducing these imbalances the right ones? And have countries altered their policies because of the discussions and commitments in the G20 or not? The paper assesses whether the G20 has achieved its goal of reducing global current account imbalances. It then uses the G‐Cubed (G20) model — a multi‐country, multi‐sector, intertemporal general equilibrium model — to assess the impacts of the G20's proposed policy agenda. It shows that the G20's policy prescriptions — reducing the fiscal deficit in the United States, increasing public infrastructure investment in Germany and increasing domestic consumption in China — are not necessarily effective in reducing current account imbalances and, when imbalances are reduced, it often comes at the cost of the real economy. Finally, the paper uses the results from in‐depth interviews with 61 policymakers from across all G20 countries — including Janet Yellen, Kevin Rudd, Ben Bernanke, Haruhiko Kuroda, Jack Lew, Mark Carney and 55 others — to explore whether the G20's focus on current account imbalances influences domestic policies. It finds that, while the G20's influence has been marginal, there are ways in which it could be strengthened. The paper concludes with a discussion on how the G20's agenda could be reformed to help reduce current account imbalances in the future.
Throughput and Fairness in Random Access Networks

This paper present an throughput analysis of logutility and max-min fairness. Assuming all nodes interfere with each other, completely or partially, log-utility fairness significantly enhances the total throughput compared to max-min fairness since the nodes should have the same throughput in max-min fairness. The improvement is enlarged especially when the effect of cumulated interference from multiple senders cannot be ignored. I. LOG-UTILITY AND MAX-MIN FAIRNESS In this paper, we focus on dense wireless networks using random access protocols such as 802.11 LANs in offices and urban residential areas. We mainly consider slotted-Aloha systems but our analysis is simply extended for CSMA/CS networks with a single carrier-sensing range. In typical urban residential networks, one or few terminals are located closely to their access point and tend to capture a strong signal. The dense distribution of the access points, however, enlarges the effect of cumulative interference on frame reception. For fair bandwidth allocation, there exist two famous fairness schemes: log-utility [1] and max-min fairness. Log-utility or proportional fairness has been well known as a flexible and useful abstraction for multiplexing scarce resources among users and applications. Max-min fairness, however, achieve the complete fair allocation, where all nodes have the same throughput. Consider all nodes are within the single interference range. That is, any overlapped transmissions from the nodes completely collides and that results in transmission errors. Let be the number of nodes. In this case, the nodes have the attempt probability in log-utility fairness [2] and the total throughput is given by:
Teeth Category Classification via Hu Moment Invariant and Extreme Learning Machine

To improve the computer-assisted diagnosis and decision in dentistry, we tested a new method combining Hu moment invariant (HMI) method and extreme learning machine (ELM) to implement the teeth classification in cross-section image of Cone Beam Computed Tomography (CBCT). 160 images were analyzed and 4 categories were recognized. The results showed the sensitivities of incisors, canine, premolar, and molars were 78.25± 6.02%, 78.00± 5.99%, 79.25± 7.91%, and 78.75± 5.17%, better than ANN statistical-significantly. Keywords—teeth classification; Hu moment invariant; extreme learning machine