Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey of Fuzzy Logic Based Congestion Estimation Techniques in Wireless Sensor Networks

Congestion estimation has always been atopic of crucial importance for Wireless sensor network (WSNs). Recent developments in sensor network research have led to various new fuzzy systems, specifically designed for WSNs where congestion awareness is an essential issue.Recently someresearchers have proposed fuzzy logic based techniques for congestion estimation in order to diminish the congestion.There are several fuzzyand non-fuzzybased techniques proposed by researchers for congestion estimation and control. This paper surveys fuzzy logic based techniques of congestion estimation and also describes that how fuzzy logic based techniques are efficient than that of non-fuzzy techniques for estimating the congestion in WSNs. Keywords: Wireless Sensor Network; Congestion Estimation; Fuzzy Logic; Cluster Head (CH).
A Word Matching Algorithm in Handwritten Arabic Recognition Using Multiple-Sequence Weighted Edit Distances

No satisfactory solutions are yet available for the offline recognition of handwritten cursive words, including the words of Arabic text. Word matching algorithms can greatly improve the OCR output when recognizing words of known and limited vocabulary. This paper describes the word matching algorithm used in the JU-OCR2 optical character recognition system of handwritten Arabic words. This system achieves state-of-the-art accuracy through multiple techniques including an efficient word matching algorithm. This algorithm reduces the average sequence error for the IfN/ENIT database of handwritten Arabic words from 32.3% to an average word error of just 5.0%. This algorithm is a weighted version of the edit distance algorithm. The weighted version has a 5.0% advantage over the plain edit distance algorithm. This algorithm selects the best match utilizing a set of multiple probable sequences from the sequence transcription stage. Using multiple sequences, instead of one, reduces the average error by 27.0% over the weighted edit distance algorithm. Compared with an algorithm used in a leading system, this algorithm offers 6.7% lower average word error for the main two test sets.
Visual Search Strategies of Baseball Batters: Eye Movements during the Preparatory Phase of Batting

The aim of this study was to analyze visual search strategies of baseball batters during the viewing period of the pitcher's motion. The 18 subjects were 9 experts and 9 novices. While subjects viewed a videotape which, from a right-handed batter's perspective, showed a pitcher throwing a series of 10 types of pitches, their eye movements were measured and analyzed. Novices moved their eyes faster than experts, and the distribution area of viewing points was also wider than that of the experts. The viewing duration of experts of the pitching arm was longer than those of novices during the last two pitching phases. These results indicate that experts set their visual pivot on the pitcher's elbow and used peripheral vision properties to evaluate the pitcher's motion and the ball trajectory.
Vital Signs: Disparities in Nonsmokers’ Exposure to Secondhand Smoke — United States, 1999–2012

Background Exposure to secondhand smoke (SHS) from burning tobacco causes disease and death in nonsmoking children and adults. No risk-free level of SHS exposure exists. Methods National Health and Nutrition Examination Survey (NHANES) data from 1999–2012 were used to examine SHS exposure among the nonsmoking population aged ≥3 years. SHS exposure among nonsmokers was defined as a serum cotinine level (a metabolite of nicotine) of 0.05–10 ng/mL. SHS exposure was assessed overall and by age, sex, race/ethnicity, poverty level, education, and whether the respondent owned or rented their housing. Results Prevalence of SHS exposure in nonsmokers declined from 52.5% during 1999–2000 to 25.3% during 2011–2012. During this period, declines were observed for all population subgroups, but disparities exist. During 2011–2012, SHS was highest among: children aged 3–11 years (40.6%), non-Hispanic blacks (46.8%), persons living below the poverty level (43.2%), and persons living in rental housing (36.8%). Among children aged 3–11 years, 67.9% of non-Hispanic blacks were exposed to SHS compared with 37.2% of non-Hispanic whites and 29.9% of Mexican Americans. Conclusion Overall, SHS exposure in the United States has been reduced by half since 1999–2000. However, 58 million persons were still exposed to SHS during 2011–2012, and exposure remains higher among children, non-Hispanic blacks, those living in poverty, and those who rent their housing. Implications for Public Health Practice Eliminating smoking in indoor spaces fully protects nonsmokers from SHS exposure; separating smokers from nonsmokers, cleaning the air and ventilating buildings cannot completely eliminate exposure. Continued efforts to promote implementation of comprehensive statewide laws prohibiting smoking in workplaces and public places, smoke-free policies in multiunit housing, and voluntary smoke-free home and vehicle rules are critical to protect nonsmokers from this preventable health hazard in the places they live, work, and gather.
Modeling Living Systems for Computer Vision

This paper presents research spanning the fields of computer vision, computer graphics, and artificial life, with implications for AI. Although the modeling of all aspects of living systems is a worthwhile endeavor in its own right, the emphasis here will be on the modeling of animals, including humans, for computer vision. First, I present a new breed of artificial animals in a physics-based virtual marine world, whose muscle-actuated bodies harbor brains with motor, perception, behavior, and learning centers. In these mobile autonomous agents, sensorimotor control for the purposes of perceptually-guided navigation employs on-board. active computer vision systems that continually analyze the visual world. Second, turning my attention to human animals, I describe new algorithms that can construct artificial human heads with expressive faces. Through the use of range scanners, generic biomechanical facial models may be automatically personalized to individuals. Currently, artificial faces. support a model-based approach to facial image analysis. In the future, it should be possible to incorporate brains and some degree of intelligence into them as well.
Effect of Interval Between Actuations of Albuterol Hydrofluoroalkane Pressurized Metered-Dose Inhalers on Their Aerosol Characteristics

BACKGROUND: Albuterol hydrofluoroalkane (HFA) either alone or with a valved holding chamber is used to treat bronchoconstriction. Delays between actuation and inhalation are common. Currently, the recommended interval between actuations of an albuterol HFA is 60 s. Using a shorter interval when multiple actuations are ordered will improve productivity in the hospital setting. METHODS: We studied aerosol characteristics of albuterol HFA (Ventolin, ProAir, and Proventil) with a cascade impactor calibrated at 30 L/min. We studied pressurized metered-dose inhalers (pMDI) alone, coupled to a nonelectrostatic valved holding chamber, and coupled to the valved holding chamber but introducing a 10-s delay between actuation and measurement. We tested intervals between actuations of 60, 30, and 15 s (not for delay scenario). The variable of most interest was fine-particle mass. Albuterol was measured by spectrophotometer (276 nm). RESULTS: Variations in fine-particle mass from 60-s values were < 15% for Ventolin and ProAir for all conditions tested and for Proventil with a valved holding chamber. Variations in fine-particle mass from 60-s values were > 15% for Proventil (pMDI alone with a 30-s interval and pMDI/valved holding chamber with delay and a 30-s interval). Adding a valved holding chamber increased fine-particle mass for all brands (ProAir 7–12%, Ventolin 26–35%, and Proventil 44–47%). The introduction of a 10-s delay reduced fine-particle mass for all brands (ProAir 34–39%, Ventolin 39–42%, and Proventil 27–32%). Comparison of fine-particle mass among brands showed that Proventil was > ProAir > Ventolin. CONCLUSIONS: Decreasing the interval between actuations from 60 to 30 and 15 s does not seem to affect the aerosol characteristics of ProAir and Ventolin. Although some changes were noticed for Proventil, the pMDI outperformed Ventolin that had the lowest fine-particle mass. The use of a valved holding chamber increased fine-particle mass, but introducing a 10-s delay between actuation and inhalation significantly reduced fine-particle mass.
Lower Extremity Exoskeleton: Review and Challenges Surrounding the Technology and its Role in Rehabilitation of Lower Limbs

With the advancement in the area of robotics, exoskeleton technology has come a long way since its beginnings in the late 60's. Researchers over the world have developed their own exoskeleton prototypes, and some of the well known exoskeleton includes the BLEEX, MIT exoskeleton, HAL, LOPES, ALEX, and many more. Although technologies have advanced since the 60's, challenges still exist in exoskeleton design. This paper reviews different exoskeleton technologies as well as its role in the area of rehabilitation. This purpose in rehabilitation is promising, based on countless of researches which have been carried out.
RapidArc quality assurance through MapCHECK

The purpose is to devise a patient‐specific quality assurance procedure for RapidArc radiotherapy using the MapCHECK detector array. We use our existing MapCHECK system and a Solid Water phantom with an embedded ion chamber to develop a quality assurance procedure for RapidArc treatment after commissioning. The ion chamber used to measure the absolute dose is surrounded by 6 cm layers of solid water on the anterior and posterior sides. Partial arcs derived from the treatment planning system were used with MapCHECK to determine the actual shape of the dose and correct for the angular dependence. The ion chamber measurements were within 1% of the absolute doses predicted by the Eclipse treatment system. When using a partial arc from 60° to 300° on the MapCHECK array (gamma index <1: 3%, 3 mm, 10% threshold), we obtain a 97.52% average passing rate. A combination of ion chamber phantoms, partial arcs and the MapCHECK system can be used for quality assurance of RapidArc therapies. PACS number: 3.6. 96.0
WIT: integrated system for high-throughput genome sequence analysis and metabolic reconstruction

The WIT (What Is There) (http://wit.mcs.anl.gov/WIT2/) system has been designed to support comparative analysis of sequenced genomes and to generate metabolic reconstructions based on chromosomal sequences and metabolic modules from the EMP/MPW family of databases. This system contains data derived from about 40 completed or nearly completed genomes. Sequence homologies, various ORF-clustering algorithms, relative gene positions on the chromosome and placement of gene products in metabolic pathways (metabolic reconstruction) can be used for the assignment of gene functions and for development of overviews of genomes within WIT. The integration of a large number of phylogenetically diverse genomes in WIT facilitates the understanding of the physiology of different organisms.
MagIC System: a New Textile-Based Wearable Device for Biological Signal Monitoring. Applicability in Daily Life and Clinical Setting

The paper presents a new textile-based wearable system for the unobtrusive recording of cardiorespiratory and motion signals during spontaneous behavior along with the first results concerning the application of this device in daily life and in a clinical environment. The system, called MagIC (Maglietta Interattiva Computerizzata), is composed of a vest, including textile sensors for detecting ECG and respiratory activity, and a portable electronic board for motion detection, signal preprocessing and wireless data transmission to a remote monitoring station. The MagIC system has been tested in freely moving subjects at work, at home, while driving and cycling and in microgravity condition during a parabolic flight. Applicability of the system in cardiac in-patients is now under evaluation. Preliminary data derived from recordings performed on patients in bed and during physical exercise showed 1) good signal quality over most of the monitoring periods, 2) a correct identification of arrhythmic events, and 3) a correct estimation of the average beat-by-beat heart rate. These positive results supports further developments of the MagIC system, aimed at tuning this approach for a routine use in clinical practice and in daily life
How justice can affect jury: Training abstract words promotes generalisation to concrete words in patients with aphasia

Developing language treatments that not only improve trained items but also promote generalisation to untrained items is a major focus in aphasia research. This study is a replication and extension of previous work which found that training abstract words in a particular context-category promotes generalisation to concrete words but not vice versa (Kiran, Sandberg, & Abbott, 2009). Twelve persons with aphasia (five female) with varying types and degrees of severity participated in a generative naming treatment based on the Complexity Account of Treatment Efficacy (CATE; Thompson, Shapiro, Kiran, & Sobecks, 2003). All participants were trained to generate abstract words in a particular context-category by analysing the semantic features of the target words. Two other context-categories were used as controls. Ten of the twelve participants improved on the trained abstract words in the trained context-category. Eight of the ten participants who responded to treatment also generalised to concrete words in the same context-category. These results suggest that this treatment is both efficacious and efficient. We discuss possible mechanisms of training and generalisation effects.
Impact of body biasing on the retention time of gain-cell memories

Gain-cell-based embedded dynamic random-access memory (DRAMs) are a potential high-density alternative to mainstream static random-access memory (SRAM). However, the limited data retention time of these dynamic bitcells results in the need for power-consuming periodic refresh cycles. This Letter measures the impact of body biasing as a control factor to improve the retention time of a 2 kb memory block, and also examines the distribution of the retention time across the entire gain-cell array. The concept is demonstrated through silicon measurements of a test chip manufactured in a logic-compatible 0.18 μm CMOS process. Although there is a large retention time spread across the measured 2 kb gain-cell array, the minimum, average and maximum retention times are all improved by up to two orders of magnitude when sweeping the body voltage over a range of 375 mV.
Benefits of Distinguishing between Physical and Social-Verbal Aspects of Behavior: An Example of Generalized Anxiety

Temperament traits and mental illness have been linked to varying degrees of imbalances in neurotransmitter systems of behavior regulation. If a temperament model has been carefully structured to reflect weak imbalances within systems of behavior regulation, then in the presence of mental illness, these profiles should exhibit distinct patterns consistent with symptoms of mental illness. In contrast to other temperament models used in studies of anxiety disorders, the Functional Ensemble of Temperament (FET) model differentiates not only between emotionality traits, but also between traits related to physical, social-verbal and mental aspects of behavior. This paper analyzed the predictions of the FET model, which maps 12 functional aspects of behavior to symptoms of generalized anxiety disorder (GAD) as described in the DSM/ICD. As an example, the paper describes a study of the coupling of sex, age and temperament traits with GAD using the FET framework. The intake records of 116 clients in treatment with confirmed diagnosis of GAD in a private psychological practice were compared using ANOVA against records of 146 healthy clients using their scores on the FET-based questionnaire, in age groups 17–24, 25–45, 46–65. Patients with GAD in all age groups reported significantly lower Social Endurance, Social Tempo, Probabilistic reasoning (but not in physical aspects of behavior) and higher Neuroticism than healthy individuals, however, no effects on the scales of Motor Endurance or Tempo were found. These findings show the benefits of differentiation between motor-physical and social-verbal aspects of behavior in psychological assessment of mental disorders.
Thermoreversible mucoadhesive ophthalmic in situ hydrogel: Design and optimization using a combination of polymers

Thermoreversible mucoadhesive ophthalmic in situ hydrogel: Design and optimization using a combination of polymers The purpose of the study was to develop an optimized thermoreversible in situ gelling ophthalmic drug delivery system based on Pluronic F 127, containing moxifloxacin hydrochloride as a model drug. A 32 full factorial design was employed with two polymers: Pluronic F 68 and Gelrite as independent variables used in combination with Pluronic F 127. Gelation temperature, gel strength, bioadhesion force, viscosity and in vitro drug release after 1 and 10 h were selected as dependent variables. Pluronic F 68 loading with Pluronic F 127 was found to have a significant effect on gelation temperature of the formulation and to be of importance for gel formation at temperatures 33-36 °C. Gelrite loading showed a positive effect on bioadhesion force and gel strength and was also found helpful in controling the release rate of the drug. The quadratic mathematical model developed is applicable to predicting formulations with desired gelation temperature, gel strength, bioadhesion force and drug release properties. Termoreverzibilni mukoadhezivni in situ hidrogel za oftalmičku primjenu: Dizajniranje i optimizacija koristeći kombinaciju polimera Cilj rada bio je razvoj i optimizacija termoreverzibilnog sustava za isporuku lijekova koji gelira in situ. Sustav je napravljen na bazi Pluronic F 127, a sadrži moksifloksacin hidroklorid kao modelni lijek. U radu je primjenjeno 32 potpuno faktorijsko dizajniranje s dva polimera, Pluronic F 68 i Gelrite kao nezavisnim varijablama koji su kombinirani s Pluronic F 127. Kao zavisne varijable odabrane su temperatura geliranja, čvrstoća gela, jačina bioadhezije, viskoznost i in vitro oslobađanje lijeka nakon 1 i 10 h. Pronađeno je da Pluronic F 68 u kombinaciji s Pluronic F 127 ima značajan učinak na temperaturu geliranja u rasponu od 33 do 36 °C. S druge strane, Gelrite ima povoljan učinak na jačinu bioadhezije, čvrstoću gela i oslobađanje lijeka. Razvijen je kvadratni matematički model pomoću kojeg se može predvidjeti temperatura geliranja, čvrstoća gela, jačina bioadhezije i oslobađanje ljekovite tvari.
A Wavelet-based Framework for Face Recognition

Content-based indexing methods are of great interest for image and video retrievial in audio-visual archives, such as in the DiVAN project that we are currently developping. Detecting and recognizing human faces automatically in video data provide users with powerful tools for performing queries. In this article, a new scheme for face recognition using a wavelet packet decomposition is presented. Each face is described by a subset of band filtered images containing wavelet coefficients. These coefficients characterize the face texture and a set of simple statistical measures allows us to form compact and meaningful feature vectors. Then, an efficient and reliable probalistic metric derived from the Bhattacharrya distance is used in order to classify the face feature vectors into person classes.
Computationally Comparing Biological Networks and Reconstructing Their Evolution

Biological networks, such as protein-protein interaction, regulatory, or metabolic networks, provide information about biological function, beyond what can be gleaned from sequence alone. Unfortunately, most computational problems associated with these networks are NP-hard. In this dissertation, we develop algorithms to tackle numerous fundamental problems in the study of biological networks. First, we present a system for classifying the binding affinity of peptides to a diverse array of immunoglobulin antibodies. Computational approaches to this problem are integral to virtual screening and modern drug discovery. Our system is based on an ensemble of support vector machines and exhibits state-of-the-art performance. It placed 1st in the 2010 DREAM5 competition. Second, we investigate the problem of biological network alignment. Aligning the biological networks of different species allows for the discovery of shared structures and conserved pathways. We introduce an original procedure for network alignment based on a novel topological node signature. The pairwise global alignments of biological networks produced by our procedure, when evaluated under multiple metrics, are both more accurate and more robust to noise than those of previous work. Next, we explore the problem of ancestral network reconstruction. Knowing the state of ancestral networks allows us to examine how biological pathways have evolved, and how pathways in extant species have diverged from that of their common ancestor. We describe a novel framework for representing the evolutionary histories of biological networks and present efficient algorithms for reconstructing either a single parsimonious evolutionary history, or an ensemble of near-optimal histories. Under multiple models of network evolution, our approaches are effective at inferring the ancestral network interactions. Additionally, the ensemble approach is robust to noisy input, and can be used to impute missing interactions in experimental data. Finally, we introduce a framework, GrowCode, for learning network growth models. While previous work focuses on developing growth models manually, or on procedures for learning parameters for existing models, GrowCode learns fundamentally new growth models that match target networks in a flexible and user-defined way. We show that models learned by GrowCode produce networks whose target properties match those of real-world networks more closely than existing models.
Novel Human Erythrovirus Associated with Transient Aplastic Anemia

ABSTRACT Erythrovirus (formerly parvovirus) B19 causes a wide range of diseases in humans, including anemia due to aplastic crisis. Diagnosis of B19 infection relies on serology and the detection of viral DNA by PCR. These techniques are usually thought to detect all erythrovirus field isolates, since the B19 genome is known to undergo few genetic variations. We have detected an erythrovirus (V9) markedly different from B19 in the serum and bone marrow of a child with transient aplastic anemia. The B19 PCR assay yielded a product that hybridized only very weakly to the B19-specific probe and whose sequence diverged more from those of 24 B19 viruses (11 to 14%) than the divergence found within the B19 group (≤6.65%). Restriction enzyme analysis of the V9 genome revealed that this genetic divergence extended beyond the amplified region. Interestingly, serological tests failed to demonstrate a response characteristic of acute B19 infection. V9 could be a new erythrovirus, and new diagnostic tests are needed for its detection.
Cloud-TM: harnessing the cloud with distributed transactional memories

One of the main challenges to harness the potential of Cloud computing is the design of programming models that simplify the development of large-scale parallel applications and that allow ordinary programmers to take full advantage of the computing power and the storage provided by the Cloud, both of which made available, on demand, in a pay-only-forwhat-you-use pricing model. In this paper, we discuss the use of the Transactional Memory programming model in the context of the cloud computing paradigm, which we refer to as Cloud-TM. We identify where existing Distributed Transactional Memory platforms still fail to meet the requirements of the cloud and of its users, and we point several open research problems whose solution we deem as essential to materialize the Cloud-TM vision.