Miracle-dz/UniFAR-FTUs huggingface dataset:
Socio-Cultural Factors Influencing Access to Reproductive Health Service Information among the Youth in Korogocho Slum of Nairobi, Kenya

Access to reproductive health services information by the youth has received the minimal attention given that reproductive health service information for many years has been tailored to meet the needs of the adult population. The youths have therefore been neglected partly due to cultural sensitivity that dictates what, when and how reproductive health information is transmitted to the youth. This study investigated selected socio-cultural factors influencing access to reproductive health service information in Korogocho slum in Nairobi Kenya. A descriptive survey design was employed; questionnaires, focus group discussion guides and key informant interview schedules were administered on 164 with youths and 5 health facility officials (key informants) to collect data, the response rate was 91.46. The reliability and validity of research instruments was ensured by pre-testing. With a R 2 value of 0.98 the study found out that 98% of the independent variables explained access to Reproductive Health Service Information with the remaining 2% explained by other factors. The study revealed that the youth in Korogocho had inadequate and inaccurate Reproductive Health Service information mostly received from the media and/or their peers. The major socio-cultural factors that were found to influence the RHS included; family, religion and peer influence. The study therefore concludes that the above selected socio-cultural factors had influence on access to Reproductive Health Service information among the youths in Korogocho slum. Key Words: adolescent health, youth in slum areas, health information accessibility
The Abilene Paradox and Other Meditations on Management

Faulty decision-making can have dire consequences, and when it comes to group decisions, the challenges are even greater. Join Dr. Jerry B. Harvey as he clearly illustrates why no organization wants to find themselves goin' to Abilene. See how group dynamics can keep individuals from stating their true beliefs for fear of isolation and separation, and how that often leads to mismanaged agreement. You'll learn to recognize the warning signs of risky group dynamics and improve decision-making processes throughout your organization.
The Arabidopsis SLEEPY1 Gene Encodes a Putative F-Box Subunit of an SCF E3 Ubiquitin Ligase Online version contains Web-only data. Article, publication date, and citation information can be found at www.plantcell.org/cgi/doi/10.1105/tpc.010827.

The Arabidopsis SLY1 (SLEEPY1) gene positively regulates gibberellin (GA) signaling. Positional cloning of SLY1 revealed that it encodes a putative F-box protein. This result suggests that SLY1 is the F-box subunit of an SCF E3 ubiquitin ligase that regulates GA responses. The DELLA domain protein RGA (repressor of ga1-3) is a repressor of GA response that appears to undergo GA-stimulated protein degradation. RGA is a potential substrate of SLY1, because sly1 mutations cause a significant increase in RGA protein accumulation even after GA treatment. This result suggests SCFSLY1-targeted degradation of RGA through the 26S proteasome pathway. Further support for this model is provided by the observation that an rga null allele partially suppresses the sly1-10 mutant phenotype. The predicted SLY1 amino acid sequence is highly conserved among plants, indicating a key role in GA response.
Bio-inspired Tactile Control for the Dexterous Manipulation of Unknown Objects

Although industrial robots have been used for years to manipulate objects in highly constrained domains, the problem of manipulating unknown objects in a realistic environment is still largely unsolved. In unknown environments, humans manipulate objects clearly more dexterously than today’s robots. This paper aims to design a tactile control model for the robotic dexterous manipulation in unknown environments, strongly inspired by neurophysiological studies of human dexterous manipulation. Typically, when robots manipulate objects, they must do so with a predetermined grasp force. By contrast, humans are skilled at manipulating objects with grasp forces maintained only slightly above the minimum required to prevent slipping. The term grasp stability entails both the prevention of accidental slips and the prevention of excessive fingertip forces. The goal of the control model presented in this paper is to manipulate unfamiliar objects with grasp stability and human-like behavior. To achieve this goal, a control model and algorithms, emulating each one of the human manipulation phases, need to be designed. The control of the grip and load forces at each phase is driven by signals that simulate the responses of the human tactile afferents. The estimation of the friction coefficient and the detection of the incipient slipping, play a key role in the human grasp stability mechanism, and are crucial components of the presented control model. Simulated experiments show that the presented model can estimate these crucial components with good precision. Laschi et. al presented an anthropomorphic robotic grasping platform developed for evaluation of neurophysiological and other physiologically inspired theories such as biologicallyinspired grasping coordination [1]. In their platform, the authors integrated the tactile sensing with other sensing modalities, but they not developed an study of tactile control algorithms. There are previous works in robotics on segmenting a manipulative task inspired by the human model. In [2] the authors followed the human model, and partitioned the task in pre-contact, loading, manipulation, unloading, and postcontact phases. They used force sensors and accelerometers to detect phase changes. Cutkosky proposed an event-based language for dextrous manipulation, where the different phases of manipulation are divided by events [3]. However, these authors just segmented the manipulative task at a high level, without providing detailed control algorithms for each of the manipulative phases.
The roots of cognitive neuroscience : behavioral neurology and neuropsychology

Preface Anjan Chatterjee & H Branch Coslett Contributors 1. The Case for Case Reports Ken Heilman 2. We stand on the shoulders of giants: The golden era of behavioral neurology 1860-1950 and its relevance to cognitive neuroscience today. Heidi Roth 3. Deconstructing Human Memory: Insights from Amnesia Mieke Verfaellie, Margaret M Keane 4. Semantic Memory Anastasia M. Raymer & Leslie J. Gonzalez Rothi 5. Alexias and Agraphias David Roeltgen & Elizabeth Lacey 6. Face Recognition Steven Rapscak 7. Arousal, Attention, and Perception Mark Mennemeier 8. Perceptual-attentional " and motor-intentional " spatial systems A.M. Barrett 9. Limb apraxia Anne Foundas 10. Body representations H Branch Coslett 11. Pathologies of the Self Todd Feinberg 12. The Neurology of Emotional Expression Lee X Blonder 13. Behavioral and Cognitive Effects of Antiepileptic Drugs Kimford J Meador 14. Neuropsychopharmacology and Cognition David Q. Beversdorf 15. Attractor Basins: A Neural Basis for the Conformation of Knowledge Steven E. Nadeau 16. Plasticity Victor W. Mark 17. Visual Art Anjan Chatterjee 18. Creativity Valeria Drago & Glen R. Finney 19. Kenneth M. Heilman and the early years of behavioral neurology at the University of Florida Edward Valenstein & Robert T Watson
SACRY: Syntax-based Automatic Crossword puzzle Resolution sYstem

In this paper, we present our Crossword Puzzle Resolution System (SACRY), which exploits syntactic structures for clue reranking and answer extraction. SACRY uses a database (DB) containing previously solved CPs in order to generate the list of candidate answers. Additionally, it uses innovative features, such as the answer position in the rank and aggregated information such as the min, max and average clue reranking scores. Our system is based on WebCrow, one of the most advanced systems for automatic crossword puzzle resolution. Our extensive experiments over our two million clue dataset show that our approach highly improves the quality of the answer list, enabling the achievement of unprecedented results on the complete CP resolution tasks, i.e., accuracy of 99.17%.
Kalyanpur, M., & Harry, B. (2012). Cultural Reciprocity in Special Education: Building Family–Professional Relationships.

This is an important, thorough, and comprehensive book that well covers the field of mTBI and achieves the authors’ goal of being an inclusive text for all professionals interested in this topic. The chapters are of sufficient detail to make this book a good reference source for physicians and psychologists alike, as well as others involved in the rehabilitation of postconcussion patients. While the state-of-the-art is such that there is limited research to substantiate all decision making, what is known is well-organized and well-referenced. This is an excellent textbook for any graduate neuropsychological training program. It also would find a place in the training of neuropsychiatrists and neurology residents who might be interested in this field. Seventy-five dollars may seem high, but considering the vast amount of work that went into this book, the comprehensiveness of the references, and the quality of the team behind the chapters, it is reasonably priced.
Highly increased levels of tumor necrosis factor-alpha and other proinflammatory cytokines in psoriatic arthritis synovial fluid.

OBJECTIVE To investigate the potential role of cytokines in psoriatic arthritis (PsA) by assessing the profiles of the proinflammatory cytokines in synovial fluid (SF) of PsA in comparison with rheumatoid arthritis (RA) and osteoarthritis (OA). METHODS Levels of tumor necrosis factor-alpha (TNF-alpha), interleukin 1 (IL-1), IL-6, and IL-8 were measured in SF using ELISA. RESULTS Levels of TNF-alpha, IL-1beta, and IL-8 were significantly higher in PsA SF than in OA SF, although lower than in RA SF. No difference was detected in the IL-6 levels between PsA and RA SF, both of which were much higher than in OA SF. CONCLUSION The pattern of expression of proinflammatory cytokines seen in PsA is similar to that in RA. Since PsA is also a destructive arthropathy, cytokines, in particular TNF-alpha and IL-1, may be principle factors in joint destruction.
Toward a functional near-infrared spectroscopy-based monitoring of pain assessment for nonverbal patients

Abstract. Pain diagnosis for nonverbal patients represents a challenge in clinical settings. Neuroimaging methods, such as functional magnetic resonance imaging and functional near-infrared spectroscopy (fNIRS), have shown promising results to assess neuronal function in response to nociception and pain. Recent studies suggest that neuroimaging in conjunction with machine learning models can be used to predict different cognitive tasks. The aim of this study is to expand previous studies by exploring the classification of fNIRS signals (oxyhaemoglobin) according to temperature level (cold and hot) and corresponding pain intensity (low and high) using machine learning models. Toward this aim, we used the quantitative sensory testing to determine pain threshold and pain tolerance to cold and heat in 18 healthy subjects (three females), mean age±standard deviation (31.9±5.5). The classification model is based on the bag-of-words approach, a histogram representation used in document classification based on the frequencies of extracted words and adapted for time series; two learning algorithms were used separately, K-nearest neighbor (K-NN) and support vector machines (SVM). A comparison between two sets of fNIRS channels was also made in the classification task, all 24 channels and 8 channels from the somatosensory region defined as our region of interest (RoI). The results showed that K-NN obtained slightly better results (92.08%) than SVM (91.25%) using the 24 channels; however, the performance slightly dropped using only channels from the RoI with K-NN (91.53%) and SVM (90.83%). These results indicate potential applications of fNIRS in the development of a physiologically based diagnosis of human pain that would benefit vulnerable patients who cannot self-report pain.
Autism and mental retardation of young children in China.

OBJECTIVE To understand the prevalence and rehabilitation status of autism and mental retardation in China. METHODS Screening test and clinical assessment were conducted for the diagnosis of autism and mental retardation. The assessment included investigation of the histories of medical conditions and development of these two disorders, utilization and needs for the rehabilitation service, and related intellectual and behavioral appraisal. RESULTS Among the 7345 children investigated, the prevalence of autism disorder was 1.10 cases per 1000 children aged 2-6 years (95% CI=0.34 to 2.54), and the prevalence of mental retardation was 10.76 cases per 1000 children (95% CI=8.40 to 13.12). All the children suffering from autistic disorder were intellectually disabled, whereas 31.0% of the non-autism mental retardates had other disabilities. The medical conditions prior to birth and perinatal period were important potential factors for autism. Half of the autistic children and 84% of the children with non-autism mental retardation had never received any rehabilitative service. CONCLUSIONS The prevalence of autistic disorder in children aged 2-6 years in Tianjin is rather high. It is urgent to improve the status of the autistic and intelligently disabled young children in China. In order to upgrade the level of early diagnostic and improve the intervention to autism and mental retardation, public awareness and training courses should be heightened.
Asset/Liability Management for Pension Funds Using CVaR Constraints

This article studies formal optimal decision approaches for a multi‐period asset/liability management model for a pension fund. The authors use Conditional Value‐at‐Risk (CVaR) as a risk measure, the weighted average of the Value‐at‐Risk (VaR) and those losses exceeding VaR. The model is based on sample‐path simulation of the liabilities and returns of financial instruments in the portfolio. The same optimal decisions are made for groups of sample‐paths, which exhibit similar performance characteristics. Since allocation proportions are time‐dependent, these techniques are more flexible than more standard allocation procedures, e.g. “constant proportions. ” Optimization is conducted using linear programming. Compared with traditional stochastic programming algorithms (for which the problem dimension increases exponentially in the number of time stages), this approach exhibits a linear growth of the dimension. Therefore, this approach allows the solution of problems with very large numbers of instruments and scenarios.
High-Precision FIR-Model-Based Dynamic Weighing System

Conveyor belt-type checkweighers are increasingly popular components of modern production lines. They are used to assess the weight of the produced items in motion, i.e., without stopping them on the weighing platform. The main challenge one faces when designing a dynamic weighing system is providing high measurement accuracy, especially at high conveyor belt speeds. The approach proposed in this paper can be characterized as a filtering scheme based on the finite impulse response model of the weighing system response. It is shown that when such a model-based filtering is applied, the attained weighing accuracy is up to four times higher than that guaranteed by the currently available state-of-the-art solutions.
Metabolic Glycan Imaging by Isonitrile–Tetrazine Click Chemistry

Seeing the sugar coating: N-Acetyl-glucosamine and mannosamine derivatives tagged with an isonitrile group are metabolically incorporated into cell-surface glycans and can be detected with a fluorescent tetrazine. This bioorthogonal isonitrile-tetrazine ligation is also orthogonal to the commonly used azide-cyclooctyne ligation, and so will allow simultaneous detection of the incorporation of two different sugars.
A Novel Localization Algorithm Based on Isomap and Partial Least Squares for Wireless Sensor Networks

Node localization is a main application of wireless sensor networks. However, the measurement error and noise in a real environment make the positioning of information nonlinear and have a great effect on the performance of localization methods. In this paper, we propose a novel isometric mapping (Isomap) node localization algorithm based on partial least squares (PLS-Isomap). For topological stability, the critical outlier points are eliminated by comparing the contribution rate of all data points. Then, we employ the PLS method to solve the Isomap. The adoption of PLS reduces the noise sensitivity of Isomap, which achieves solution by least squares. Moreover, the proposed approach applies a projection method to construct a new kernel matrix between new and original data points. Compared with Isomap and the multidimensional scale method, experimental and simulation results indicate that the PLS-Isomap algorithm has good topological stability, robustness, positioning accuracy, and lower computational complexity.
Phlebotomine sandfly responses to carbon dioxide and human odour in the field

Abstract. Responses of Lutzomyia sandflies (Diptera: Psychodidae: Phlebo tominae) to carbon dioxide (CO2) and human odour were investigated by field experiments in Paraná State, southern Brazil. Catches of two predominant species: Lu. intermedia (Antunes & Coutinho) and Lu. whitmani Lutz & Neiva, were compared between traps baited with a human adult or with CO2 emitted at the human‐equivalent rate. When the baits were only 40 cm apart, no difference of attractiveness was detected. When baits were separated by 20 m, however, significantly fewer sandflies (44% Lu. intermedia, 46% Lu. whitmani) were trapped with CO2 compared with human bait. This is the first field evidence that anthropophilic sandflies are attracted by human kairomones in addition to CO2. For both species, the proportion of human attractiveness attributable to CO2 was significantly less for males than females; for Lu. intermedia males human bait was no more attractive than CO2 alone. Gender differences in sandfly olfactory sensitivity are likely to be associated with behavioural differences on the host, where females feed on blood and males find mates. With traps 20 m apart, both Lutzomyia spp. showed roughly linear increased responses (log–log scale) to 0.08–0.55% CO2 equivalent to 0.5–4 humans. This would explain why host size is generally proportional to attractiveness, as observed for other species of phlebotomine sandflies.
A creation-tool for contemporary dance using multimodal video annotation

This paper presents a video annotator that supports multimodal annotation and is applied to contemporary dance as a creation tool. The Creation-Tool was conceived and designed to assist the creative processes of choreographers, working as a digital notebook for personal annotations. The prototype, developed for Tablet PCs, is a real-time multimodal video annotator based on keyboard, pen and voice inputs. In addition, a remote control for mobile devices was added to the system. Two types of annotations were defined: annotation marks and regular annotations. The annotations marks are defined by a keyword and an icon, in contrast to regular annotations that do not have a pre-defined structure. Motion tracking defines the dynamic behavior of the annotations and voice input complements the other modalities.
Actively Alleviate Power Gating-Induced Power/Ground Noise Using Parasitic Capacitance of On-Chip Memories in MPSoC

By integrating multiple processing units (PUs) and memories on a single chip, multiprocessor system-on-chip (MPSoC) can provide higher performance per energy and lower cost per function to applications with growing complexity. On the other hand, shrinking feature sizes and reducing power supply voltages also make MPSoCs more susceptible to various reliability threats, such as power/ground (P/G) noises. Power gating is an effective technique to minimize leakage power. However, it also introduces significant P/G noises in MPSoCs. With significant area, power and performance overheads, traditional methods rely on reinforced circuits or fixed protection strategies to reduce P/G noises caused by power gating. In this paper, we propose a systematic approach to actively alleviating P/G noises using the parasitic capacitance of on-chip memories through sensor network on-chip (SENoC). We use the parasitic capacitance of on-chip memories as dynamic decoupling capacitance to suppress P/G noises and develop a detailed HSPICE model for related study. SENoC is developed to not only monitor and report P/G noises, but also coordinate PUs and memories to alleviate such transient threats at run time. Extensive evaluations show that compared with traditional method, our approach saves 12.6%-62.8% energy consumption and achieves 14.3%-69.8% performance improvement for different applications and MPSoCs with different scales. We implement the circuit details of our approach and show its low area and energy consumption overheads.
Sensor calibration models for a non-invasive blood glucose measurement sensor

A calibration model was developed for a noninvasive blood glucose sensor, to determine how the blood glucose data measured by this sensor is related to blood glucose data measured with laboratory capillary finger sticks and to corrupting noise. The variability of calibration models for different patients was analyzed as well as the dynamics of the non-invasive blood glucose sensor according to reference blood glucose measurements and corrupting noise.
High-Throughput Real-Time RT-PCR Assay to Detect the Exotic Newcastle Disease Virus during the California 2002–2003 Outbreak

During the 2002–2003 Exotic Newcastle Disease (END) outbreak in Southern California, a high-throughput real-time reverse transcriptase-polymerase chain reaction (RRT-PCR) system was developed to respond to the large diagnostic and surveillance sample workload. A 96-well RNA extraction method, using magnetic bead technology, combined with a 96-well RRT-PCR assay, allowed 1 technician to process and test more than 400 samples per day. A 3-technician team could complete testing on approximately 1,900 samples per day. The diagnostic sensitivity of the high-throughput RRT-PCR assay was 0.9967 (95% CI 0.9937–0.9997) based on 926 virus isolation confirmed positive samples. Diagnostic specificity using an initial 434 virus isolation confirmed negative samples was 100%. A diagnostic specificity of 0.9999 (95% CI 0.9999, >0.9999) was subsequently calculated on the basis of 2 false-positive results among 65,343 surveillance samples collected after the final END-positive case was confirmed in May 2003. Assay performance over 500 replicates, including reproducibility of the combined extraction and RRT-PCR amplification steps yielded a standard deviation of 0.70 RRT-PCR cycle thresholds (Ct) and a standard deviation of 0.59 Ct for the RRT-PCR steps alone. The high-throughput RRT-PCR developed for END contributed significantly to the 2002–2003 END control effort, reducing the predicted timeline for eradication from 3 years to just 11 months, primarily because of the large number of samples that could be rapidly tested. The 96-well approach described for high-throughput END RRT-PCR could be adapted to other rapid, high-volume testing needs, as required for potential foreign animal disease responses or intensive surveillance efforts.
A novel gene, ardD, determines antirestriction activity of the non-conjugative transposon Tn5053 and is located antisense within the tniA gene

Abstract The mercury-resistance transposon Tn5053 inhibits restriction activity of the type I restriction-modification endonuclease EcoKI in Escherichia coli K12 cells. This is the first report of antirestriction activity of a non-conjugative transposon. The gene (ardD) coding for the antirestriction protein has been cloned. The ardD gene is located within the tniA gene, coding for transposase, on the complementary strand. The direction of transcription is opposite to transcription of the tniA gene.