Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of serum cholinesterase, CPK and LDH as prognostic biomarkers in Organophosphorus Poisoning

Introduction: Organophosphorus insecticides are arguably one of t he commonest causes of morbidity and mortality due to poisoning worldwide, especially in developing count ries like India due to its easy availability. This study was conducted to estimate the levels of Serum Cholinesterase, Serum Creatinine Phosphokinase & Serum Lactate Dehydrogenase on admission for correlation with severity of organophosphate p oisoning and to reevaluate their levels on Day 4 a nd Day 8 and correlate them with the complications and final outcome of th e poisoning. Material and methods: This is a single centered cross sectional study over a period of one year.100 pati ents of OP poisoning were selected and their clinical severity was categorized according to Peradeniya organophosphorus poisoning (POP) scale. Level of serum Cholinester ase, serum CPK, and serum LDH were measured at admission and on Days 4 and 8. Results: Serum Cholinesterase and CPK levels strongly correlated with clinical severity. The comparative values of serum Cholinesterase and serum LDH amongst survivors and non survivors during the course of the study was not st atistically significant. The comparative values of serum Creatinine Phosphokinase between survivors and non survivors showed a statistically significant difference. Conclusion: Serum Cholinesterase serves as a diagnostic parameter for organophosphorus poisoning and correlates with the severity but it cannot be used as a prognostic biomarker. Serum Creatinine Phosphokinase shows a strong degree of positive co rrelation with the severity of poisoning and can be used as a predicto r of outcome in organophosphorus poisoning.
HEP Architecture

The HEP computer system consists of process execution modules (PEMs), data memory modules and support processors interconnected by a high-speed data switch network. All data memory modules are accessible by all PEMs. Thus, processes executing in parallel in one or several PEMs may cooperate by reading and writing shared information in the data memories. Parallel processes synchronize and pass information back and forth using the full/empty attribute of each data memory location. HEP instructions may automatically wait for an input data memory location to be full before execution, and leave the location empty after execution. Instructions may also wait for an output location to be empty before execution and leave it full after execution. This communications discipline allows processes to conveniently and unambiguously pass information to other processes while executing. The full/empty attribute ensures that reads and writes of inter-process variables will alternate and no information will be lost. For locations used exclusively within a process, the full/empty attribute is ignored and memory may be accessed conventionally.
Band Selection Method Based on Orthogonal Projection and Cross Entropy

Aiming at the problem of insufficient information or excessive redundancy of bands selected by a large number of band selection methods at present, this paper studies the band selection method based on the fusion of information and redundancy on the basis of the maximum empirical volume (MEV) theory. A band selection method based on orthogonal projection and cross entropy is proposed by combining the two indexes to evaluate the bands. The theoretical basis of the method is described and the process of the proposed method is analyzed in depth. Finally, the advantages of the proposed method are verified through experiments and comparisons on three datasets. The proposed method has the advantages of large amount of information in the selected bands, low redundancy between bands, high computational efficiency and insensitivity to noise bands.
Adaptive Process Control for Injection Molding

In recent years, process controls for injection molding have developed from simple open-loop systems to more sophisticated closed-loop systems that provide im proved quality of molded product, and greater productivity. In particular, closed-loop con trol of the injection step, involving closed loop-control of injection velocity during cavity filling, switch-over by pressure detection, and closed-loop control of the holding pressure, is a widely accepted methodology for maintaining high product quality.
Purely Granulomatous Wegener's Granulomatosis: A New Concept for an Old Disease

INCE ITS first description by Klinger’ and then by Wegener,’ it has been recognized that Wegener’s granulomatosis (WG) is a granulomatous vasculitis characterized by the presence of a necrotizing granulomatous vasculitis of the upper and lower respiratory tract associated with a necrotizing glomerulonephritis.3S4 Formerly, and until a recent time that was characterized by the discovery of autoantibodies against neutrophils and monocytes-the so called antineutrophil cytoplasmic antibody (ANCA),’ the diagnosis of WG relied on both clinical symptoms, which required the characteristic association of upper and lower airway disease with renal involvement,3 and histological criteria, which required the presence of both granulomatous lesions in and outside the vessel wall, and small vessel vasculitis.3 Some years ago, Carrington and Liebow described a particular form of WG associated with the same histological features but limited to the lungs. This syndrome was integrated in the spectrum of WG, and led to the concept of a limited form of WG.6 In 1976, De Remee et al, on the basis of this same histological background, proposed the ELK classification (E for ENT [ear, nose, and throat], L for Lungs, and K for Kidneys) of WG7 which differentiated forms with only ENT or lung involvement, forms with both ENT and lung involvement, and classical forms with the characteristic triad of ELK involvement. It was not until recently that Woodworth et al demonstrated the possibility of an early and isolated renal involvement in WG, manifested by a necrotizing or crescentic glomerulonephritis. ’ In this article we will individualize and describe a new form of WG called purely granulomatous Wegener’s granulomatosis (PGWG). Purely granulomatous Wegener’s granulomatosis is based on the concept that granuloma may represent the first and only manifestation of WG, preceding the occurence of localized and/or generalized vasculitis. 9Jo We will successively describe clinical evidence, based on selected examples of the literature, to support this hypothesis including the biological presentation of PGWG, the role of the discovery of ACPN in helping to individualized this form of WG, the differential diagnosis of this granulomatous process, and, finally the therapeutic implications of this new concept. CLINICAL PRESENTATION OF PGWG
The potential benefits of taking introduction to art for non -art major college students

The Potential Benefits of Taking Introduction to Art for Non-Art Major College Students Chia-Ying Hsieh Chair of Committee: Gilberto M. Hinojosa, Ph. D. This research was conducted to discern the potential benefits for non-art majors taking a general art course based on the perspectives of both discipline-based art education (DBAE) and visual culture and art education (VCAE). The research also attempted to ascertain the impact of DBAE and VCAE on the students. DBAE considers art an indispensable part of general education and supports a broad educational mission that promotes building minds and cultivating problem solving, VCAE stresses “meaning making” and active learning. This study demonstrated how the goals or objectives of art education promoted by both DBAE and VCAE are beneficial and crucial for the development of college students. A survey questionnaire was used to obtain qualitative data related to students’ learning outcomes. The researcher first identified the themes prominent in both DBAE and VCAE and then translated those themes into survey items. This study was conducted on the campuses of one college and one university in the southern district of Taiwan. Both are technology schools and award bachelor degrees. After data were cleaned, there were 189 valid questionnaires. In addition, textbooks frequently used by art educators to teach Introduction to Art were analyzed. This research concluded that student participants have benefited from most of the learning outcomes. Based on their answers to the closed-ended questions, students benefited equally from DBAE and VCAE themes. But in responses to the open-ended questions, participants acknowledged more benefits from DBAE outcomes than from VCAE outcomes. R eproduced with perm ission of the copyright owner. Further reproduction prohibited without perm ission. Table of
Orbital Subperiosteal Abscess of Odontogenic Origin

Objective : We report a rare case of an orbital sub-periosteal abscess, occurring secondary to a dental infection following a root canal procedure in a child. Case Report : A seven year old child presented to us with left orbital proptosis since two days. The child had undergone a root canal procedure one week prior to presentation. The CT scan revealed a sub-periosteal abscess in contact with the medial wall of the left orbit, associated with left maxillary and ethmoid sinusitis, a left canine space abscess and a left upper first molar peri-apical abscess with sub-periosteal extension. An endonasal endoscopic left orbital decompression was performed on the same day, along with a removal of the offending tooth and simultaneous drainage of the peri-apical and canine space abscesses under general anaesthesia. There was a rapid and complete recovery of the vision within 48 hours. Conclusion : With the advent of higher antibiotics, orbital infections rarely occur secondary to a dental cause; only a few cases have been reported in the recent world literature. Eradication of the source of infection, as well as evacuation of the pus from the bony orbit under appropriate antibiotic cover at the earliest forms the mainstay of treatment. The endonasal endoscopic approach for orbital decompression is the most cosmetically acceptable and functional procedure, with results comparable with the erstwhile external approaches to the sinuses and orbits.
Component Welding Defect Intelligent Detection Based on Deep Learning

Components welding defect detection of PCB (Printed Circuit Board) is indispensable in PCB manufacturing process, which is the quality guarantee of electronic products. At present, there are I three difficult problems about PCB component defect detection in factory. Firstly, there are far more normal samples than negative samples because of difficulty in collecting negative samples. Secondly, industrial assembly line requires real-time performance, so that the detection model should be as tiny as possible. Thirdly, the factory often requires a 100% recall rate and a very low false positive rate, but these two indicators are mutually constrained. To solve the first problem, we use data rebalancing strategy to balance the dataset. On the one hand, we increase the number of negative samples by data augmentation technologies. On the other hand, we cluster the positive samples and appropriately remove some positive sample from each cluster. To solve the second problem, we designed a lightweight network that introduced feature fusion strategies to improve accuracy of detection. To solve the third problem, we will design an inter-class decision mechanism to make a second decision in the output of network. Finally, our model achieves better mAP of 99.90% than other methods on our dataset, and a 100% defect recall and 97.15% defect precision are achieved on the dataset provided by ZTE.
Minimally invasive plate osteosynthesis versus open reduction and plate fixation of humeral shaft fractures

Objective This study compared clinical outcomes and complications in patients with humeral shaft fractures treated using two methods of fixation by means of plating. Background Plate osteosynthesis has been the treatment of choice for humeral shaft fractures when operative treatment is required. However, plate osteosynthesis of comminuted humeral fractures is a challenging operation, which requires surgical experience and meticulous attention to soft tissue. Minimally invasive plate osteosynthesis (MIPO) is an emerging procedure for the treatment of humeral shaft fractures. It preserves soft tissue and the periosteal circulation, which promotes fracture healing. Patients and methods Thirty patients were analyzed and divided into two groups. Group 1 (n = 15) patients were treated with MIPO and group 2 (n = 15) with open reduction and internal fixation (ORIF). The major characteristics of the two groups in terms of age, sex, mode of injury, fracture location, and associated injuries were similar. Results Primary union was achieved in all patients in the MIPO group and in 14 of 15 in the ORIF group. The mean time to union was similar in the two groups. The mean operation time in the MIPO group (80 min) was shorter than that in the ORIF group (125 min) (P < 0.0001). Bone grafting was performed in one patient in the ORIF group, but in no patients in the MIPO group. There was one case of deep infection in the ORIF group. There was one case of postoperative radial nerve palsy in the MIPO group and two cases in the ORIF group. Functional outcome was satisfactory in both groups. Conclusion The MIPO technique achieves comparable results with the ORIF method in simple and complex fractures of humeral shafts. Although MIPO potentially has a radiation hazard, it reduces perioperative complications with shortened operation time and minimal soft tissue dissection.
Evaluation and prediction of temperature-dependent tensile strength of unidirectional carbon fiber-reinforced polymer composites

To predict temperature-dependent tensile strength of unidirectional CFRP composites, numerical analysis and model simulation were conducted in terms of experimental results. The effect of elevated temperatures on tensile strength of CFRP sheets was evaluated between 20°C and 120°C, and the storage moduli of two types of epoxy resins, with glass transition temperatures (T g) of 42°C and 45°C, were tested by DMA. The tensile experiments of CFRP sheets show that the tensile strength exhibits stable behavior at the low-temperature range (below glass transition temperature), but drops rapidly during the glass transition region, and then reaches a plateau. Analysis results indicate that the degradation of tensile strength is mainly due to matrix softening and loss of fiber—matrix adhesion, based on which a semi-empirical model is proposed to precisely describe tensile strength reduction as the temperature increases. The parameters of the model consist of the glass transition temperature of polymer matrix, the polymer glass transition region, and the residual strength after the glass transition region. Model prediction of tensile strength vs. temperature shows good agreement with the experimental results.
Processing and characterization of nanographene platelets modified phenolic resin as a precursor to carbon/carbon composites—part I

Nanographene platelets have been explored as nanofillers for resole type phenolic resin (GP 486G34) with catalyst (GP 4826C) supplied by Georgia Pacific Resins. Previous studies have shown that carbon nanofillers including single-walled carbon nanotubes, vapor-grown carbon nanofibers and graphite powder are shown to increase dimensional stability, carbon content and thermomechanical properties. In the present study, 0.5%, 1.5%, 3% and 5% by weight dispersions of nanographene platelets in phenolic resin were compared with corresponding dispersions of vapor-grown carbon nanofibers in phenolic resin to investigate the effect on curing reaction and rheological and wetting behaviors. 0.5 wt% nanographene platelets increased the heat of curing of neat phenolic resin by 33% compared with 26% increase in 0.5 wt% vapor-grown carbon nanofibers. Due to the mechanism of inter-platelet sliding of nanographene platelets, 0.5 wt% nanographene platelets reduced the steady shear viscosity of phenolic resin by 48% compared with that of neat resin after 1.5 h at 1% strain rate. The lower viscosity of 0.5 wt% nanographene platelets dispersion led to lower (20°) contact angle compared with neat phenolic (29.57°) with 8-harness satin weave carbon fabric after 10 s of contact with the fabric. Due to lower viscosity of nanographene platelets/phenolic dispersions and higher heat of curing, nanographene platelets could be potential carbon nanofiller for densifying carbon/carbon composites during manufacture.
Effects of Compatibilizers on Mechanical Properties of Long Glass Fiber-Reinforced Polypropylene

Long glass fiber-reinforced polypropylene was prepared with the self-designed impregnation device. Main properties (like mechanical properties), average fiber length, fiber orientation, and morphology of LFPP with three different compatibilizers including octane—ethylene copolymer, maleic anhydride grafted octane—ethylene copolymer. Maleic anhydride grafted polypropylene were investigated on injection molding bars. Results showed that the addition of POE led to decrease in tensile strength. PP-g-MAH and POE-g-MAH improved the adhesion between glass fiber and polypropylene. These compatibilizers could increase the average fiber length and weaken the dispersion of glass fiber in matrix. It was also observed from scanning electron microscope that these compatibilizers had different adhesion effects which were evaluated as follows: PP-g-MAH>POE-g-MAH>POE.
Violence risk assessment

Dr Maden’s editorial ( Psychiatric Bulletin , April 2005, 29 , 121-122) in response to the article by Higgins et al ( Psychiatric Bulletin , April 2005, 29 , 131-133) neglects a fundamental aspect of risk assessment and his recommendations therefore need to be treated with caution. Higgins et al
Neural Beamformer with Automatic Detection of Notable Sounds for Acoustic Scene Classification

Recently, acoustic scene classification using an acoustic beamformer that is applied to a multichannel input signal has been proposed. Generally, prior information such as the direction of arrival of a target sound is necessary to generate a spatial filter for beamforming. However, it is not clear which sound is notable (i.e., useful for classification) in each individual sound scene and thus in which direction the target sound is located. It is therefore difficult to simply apply a beamformer for preprocessing. To solve this problem, we propose a method using a neural beamformer composed of the neural networks of a spatial filter generator and a classifier, which are optimized in an end-to-end manner. The aim of the proposed method is to automatically find a notable sound in each individual sound scene and generate a spatial filter to emphasize that notable sound, without requiring any prior information such as the direction of arrival and the reference signal of the target sound in both training and testing. The loss functions used in the proposed method are of four types: one is for classification and the remaining loss functions are for beamforming that help in obtaining a clear directivity pattern. To evaluate the performance of the proposed method, we conducted an experiment on classifying two scenes: one is a scene where a male is speaking under noise and another is a scene where a female is speaking under noise. The experimental results showed that the segmental SNR averaged over all the test data was improved by 10.7 dB. This indicates that the proposed method could successfully find speech as a notable sound in this classification task and generate the spatial filter to emphasize it.
Rethinking personality

Personality theory and personality assessment are connected. Personality theory involves making big generalizations about people and personality assessment involves testing those generalizations by predicting how people behave in various circumstances. But academic psychology no longer seems to take personality theory seriously. In the US, for example, there are few graduate programs and almost no jobs for new Ph.D.’s in personality. One could conclude that it is a dead discipline. And few personality test publishers have theories to support their assessments. They sell tests, but they could sell anything. They could sell oatmeal or condoms, they do not care. But personality matters, it concerns the nature of human nature. Humans are the most consequential animals on earth. We are the deadliest and most invasive species in history. So would it not be useful to know something about people? And what does personality psychology tell us about people? It depends on whom you ask.
Transmitting the Right Signals: The Continued Significance of Promoting College Entry to Students of Color

The central purpose of this research project was to understand the signals that urban, low-income students of color believe deter or inspire them to pursue a four-year college education. The setting for this study was Denver, Colorado, where the Denver Public School (DPS) system has a poor track record related to college access. Although nearly 80% of the DPS student population consists of students of color, less than 9% have recently gone on to complete a four-year college degree. The study utilized an adapted signaling theory lens to qualitatively examine students of color enrolled in the DPS at three high schools. The goal of the study was to determine the relevant information from students’ experiences to share with guidance counselors and college enrollment management practitioners seeking to improve access to college for students of color in the DPS system.
Reinforcement Learning by Policy Improvement Making Use of Experiences of The Other Tasks

We propose a new reinforcement learning algorithm based on a policy gradient method combining with importance sampling. Stochastic gradient methods can easily be applied to continuous state-action control problems, and also it can improve policies under some class of POMDP environments, however, the algorithms are limited to on-policy learning, i.e., the improvement is executed by the experiences under the only target policy. Importance sampling techniques enable the gradient methods to make use of all experiences for the learning. We develop the algorithm for continuing (not episodic) tasks under discounted reward criteria, and demonstrate through simulations of a maze world and a two-link arm robot problem.
Research on automatic evaluation method of millimeter wave human image effectiveness

Aiming at the problem of unstable quality and easy interference of millimeter wave human image, this paper proposes a practical method to classify millimeter wave human body images based on imaging characteristics and image features, and then evaluate the effectiveness of the images. By analyzing the causes of abnormal images, the optimized depth residual network model is used to classify the images, and the image effectiveness evaluation problem is transformed into image classification problem. This method fundamentally simplifies the problem of effectiveness evaluation, so that the indexes of effectiveness evaluation can be quantified, so as to realize the dynamic monitoring of human image quality and scanner status in the process of security check. The automatic evaluation method eliminates the hidden security hazards in the automatic mode of the millimeter wave body scanner, and can effectively improve the stability and applicability of the scanner.