jimnoneill/paper-to-field-training huggingface dataset:
The Influencing Factors of Knowledge Hiding Among Employees in the Construction Industry: A Psychological Contract Perspective

Field: Business, Management and Accounting (Social Sciences)

This study explores the factors influencing employee knowledge hiding in construction industry organizations. Utilizing quantitative methods, the research examines the impact of demographic factors, including gender, age, educational level, marital status, and duration of service, as well as psychological contract breaches on employee knowledge hiding. An independent samples t-test and multiple comparisons using the least significant difference (LSD) test were conducted to analyze the demographic factors. At the same time, a simple linear regression analysis was employed to assess the relationship between psychological contract breach and knowledge hiding. The results indicate that demographic factors significantly affect employee knowledge hiding, with females, older employees, those with lower educational levels, divorced or widowed individuals, and employees with longer service durations tending to hide knowledge more frequently. Furthermore, psychological contract breach is found to have a strong and positive relationship with employee knowledge hiding, suggesting that employees are more likely to engage in knowledge-hiding behaviors when they perceive a violation of their psychological contract. The findings have important managerial implications, emphasizing the need for tailored strategies to address knowledge hiding among different employee groups and maintaining a strong psychological contract with employees to foster a culture of knowledge sharing and innovation.
A Simplified Stator Frequency and Power Control Method of DFIG-DC System Without Stator Voltage and Current Sensors

Field: Engineering (Physical Sciences)

The primary objective of the grid connected DFIG-DC system is to achieve the accurate control of stator frequency and active power. In this letter, a simplified power control method is proposed by just controlling the magnitude of the rotor current vector, which can avoid the stator voltage and current sensors. The stator active power is calculated by the product of dc voltage and dc current. The stator frequency is simply controlled by the rotating speed of the rotor current vector, which is achieved through a given rotating frame. Furthermore, the parameter dependence and dc sampling offset problems can be eliminated because the voltage model or current model, which are usually used for acquiring stator frequency and stator flux angle, can be avoided. Therefore, the robustness and stability of the stator frequency and power control can be improved. Finally, experiments based on a 1 kW DFIG-DC setup are carried out to verify the proposed method.
[Enzymatic activities of Campylobacter jejuni, C. coli, and C. lari].

Field: Immunology and Microbiology (Life Sciences)

Susceptibility to nalidixic acid has been considered for a long time as an important test in the identification of the different species of the genus Campylobacter. However, due to the increasing development of resistance new laboratory tests are needed to carry out an accurate identification to the species level in combination with other typing schemes. We have evaluated the enzymatic activity of 180 Campylobacter spp. strains isolated from clinical specimens performing the Api ZYM system (bioMérieux) in order to assay whether different enzymatic patterns could help to characterize these microorganisms. Thirteen of the 19 enzymatic activities detected by the system (lipase-C14, valine arylamidase, cystine arylamidase, trypsin, chymiotrypsin, alpha-galactosidase, beta-galactosidase, beta-glucuronidase, alpha-glucosidase, beta-glucosidase, N-acetyl-beta-glucosaminidase, alpha-manosidase and alpha-fucosidase) were negative for all the strains tested, whereas 3 enzymes (alkaline phosphatase, acid phosphatase and naphtol-A-S-BI-phosphohydrolase) were detected in 96.6% of the strains. Esterase-C1, esterase lipase-C8 and leucin arylamidase showed a variable reactivity depending on isolates. Enzymatic activity patterns clearly differentiate all the C. lari strains from other Campylobacter species. No significant differences were detected among the enzymatic activities of C. jejuni and C. coli strains. Our study suggests that the Api ZYM system is easy to perform and a valuable method to be applied in the characterization of the campylobacteria as a complement to other biotyping and serotyping schemes.
Mapping the World Health Organization Disability Assessment Scale 2.0 to the EQ-5D-5L in patients with mental disorders

Field: Health Professions (Health Sciences)

This study provides a mapping algorithm for converting the WHODAS 2.0 scores into EQ-5D-5 L utility scores which can be implemented using a simple online calculator in the following web application: https://eastats.shinyapps.io/whodas_eq5d/.
Stimulus affective valence reverses spatial compatibility effect.

Field: Psychology (Social Sciences)

Made available in DSpace on 2012-03-26T15:57:01Z (GMT). No. of bitstreams: 1\nart_CAVALLET_Stimulus_affective_valence_reverses_spatial_compatibility_effect_2011.pdf: 430061 bytes, checksum: 4be551e8dc971dd37d0837bf75d31fd6 (MD5)\n Previous issue date: 2011
Transposition of the Emissions Trading Scheme Directive into UK Law and Associated Issues

Field: Social Sciences (Social Sciences)

10 Transposition of the Emissions Trading Scheme Directive into UK Law and Associated Issues Anthony Hobley and Chris Rowe* I. Introduction The Emissions Trading Scheme Directive ("ETS Di- rective") was transposed into UK Law on 31 De- - cember 2oo3 by the UK Greenhouse Gas Emis- sions Trading Scheme Regulations 2003 ("ETS Re- gulations"). In accordance with the ETS Direc- tive and the ETS Regulations, the UK Secretary of State should have published its national allocation plan ("NAP") by 3 i March 2003. However, the UK government's consultation on the NAP raised many issues which had not been resolved by
Polymicrobial Polyarticular Septic Arthritis

Field: Medicine (Health Sciences)

A bacteriology technologist was found to have acute polyarticular arthritis after a brief prodromal illness. Gram's stain of fluid from the right knee showed pleomorphic gram-negative organisms, while that of fluid from the right elbow and left wrist showed gram-negative cocci and diplococci. Culture of fluid from the right knee yielded Salmonella enteritidis. Cultures of fluid from all other joints, collected after starting therapy, were negative. An enzyme-linked immunosorbent assay of fluid from the right elbow confirmed Neisseria meningitidis, group C. This organism was also isolated from the patient's throat. This case represents concurrent infection of separate joints by two bacterial pathogens, one confirmed by culture and one by current immunodiagnostic techniques.
A Susceptibility Allele From a Non-Diabetes-Prone Mouse Strain Accelerates Diabetes in NOD Congenic Mice

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

The nonobese diabetic (NOD) mouse is genetically predisposed for the spontaneous development of type 1 diabetes. Linkage analyses have identified at least 19 susceptibility loci (Idd1–Idd19) that contribute to disease pathogenesis in which lymphocytes mediate the specific destruction of insulin-producing β-cells. Interestingly, nondiabetic mouse strains have been shown to confer susceptibility alleles to affected progeny in NOD outcrosses for some of the Idd loci. In particular, we noted that diabetic backcross progeny, derived from NOD and C57BL/6 (B6) mouse strains, demonstrated increased heterozygousity for an interval encompassing Idd14 on chromosome 13. This result suggested that B6 mice harbor a more diabetogenic allele(s) than NOD mice for this locus. To confirm this observation, a NOD congenic mouse strain, containing a B6-derived interval covering the majority of chromosome 13, was generated. Adding to the combination of already potent susceptibility alleles elsewhere in the NOD genome, the chromosome 13 B6-derived interval was able to increase the overall risk of developing type 1 diabetes, which resulted in an earlier onset and increased incidence of type 1 diabetes in congenic mice as compared with NOD mice. Furthermore, this B6-derived interval, in combination with the NOD genetic background, was able to overcome environmental conditions that typically suppressed type 1 diabetes in the NOD mouse strain.
A Third Dimension to Rough Sets

Field: Computer Science (Physical Sciences)

Rough-sets relative reducts allow one to reduce the number of attributes in a supervised classification problem without sacrificing the consistency of the decision table. In many problems, the cardinality of the relative reducts is large, making the decision table unmanageably big. We propose reducing the size of reducts, and hence the decision table, by increasing the number of label values (values of the decision attribute). The reduction process is accomplished through a two-step process whereby an instance is mapped to an intermediate label using one subset of attributes, and then mapped to the final label using a disjoint subset of attributes. In some cases, the table representation size of the functions generated using this method will be much smaller than the representation of a single unified function. It is possible to repeat the splitting process, creating multiple rough-set approximations, each one containing one attribute less than the previous one, but at a possible increa...
Modification of Polymer Composite by Proton Beam Irradiation

Field: Materials Science (Physical Sciences)

Composite films of the thermoplastic polymer (Polymethyl methacrylate) filled with different concentration of organometallic compound was prepared by chemical method. These films were irradiated with 3 MeV proton beam at the fluences of 6×1012 and 1×1013 ions/cm2. The dependence of a.c. conductivity of pristine and irradiated films on frequency, fluence of proton beam, and filler concentration was studied. The result shows that the conductivity increases with increase in the concentration of the filler and also with fluence. Microhardness of the films was studied for the applied load ranging from 10–1000 mN. The hardness is observed to increase with the fluence. This may be due to the conversion of polymeric structure in to hydrogen depleted carbon network, which makes polymer more conductive and harder. Surface morphology was studied by means of atomic force microscopy (AFM). It reveals that the average surface roughness decreases after irradiation. Structural changes in the polymer structure due to irradiation have been studied using Fourier Transform Infrared (FTIR) spectroscopy.
Semantics extraction from multimedia data

Field: Computer Science (Physical Sciences)

Driven by the significant advancements in Computer vision technology and relevant applications such as Unmanned Aerial Vehicle (UAV) and robotics, scene classification has become a hot and challenging problem in nowadays. Scene classification means categorizing images into different categories according to the physical or semantic properties. Most of the existing scene classification algorithms are based on the low level features and have achieved success in their own field. However, due to the large uncertainties in the scenes used for classification, it is very hard to achieve a high accuracy for a scene classification technique. In this thesis, a new scene classification technique is proposed based on a combination of image and audio features. 3 stages are involved in this new technique. The first stage is image feature extraction, the main feature used is Scale Invariant Feature Transform (SIFT); the second stage is audio feature extraction, the feature used here is the Mel-Frequency Cepstrum Coefficients (MFCCs). The third stage is Fusion and Classification, which is combining the features extracted from both image and audio and classify the scenes using Support Vector Machine (SVM). Several experiments have been done to test the performance of this new technique. Based on the test results, the final accuracy on classifying the different sports activities can reach up to 85%.
Attribute Association Driven Multi-Task Learning for Session-based Recommendation

Field: Computer Science (Physical Sciences)

Session-based Recommendation (SBR) aims to predict users’ next interaction based on their current session without relying on long-term profiles. Despite its effectiveness in privacy-preserving and real-time scenarios, SBR remains challenging due to limited behavioral signals. Prior methods often overfit co-occurrence patterns, neglecting semantic priors like item attributes. Recent studies have attempted to incorporate item attributes (e.g., category) by assigning fixed embeddings shared across all sessions. However, such approaches suffer from two key limitations: 1) Static attribute encoding fails to reflect semantic shifts under different session contexts. 2) Semantic misalignment between attribute and item ID embeddings. To address these issues, we propose attribute association driven multi-task learning for SBR, dubbed A²D-MTL. It explicitly models item categories using cross-session context to capture user potential interests and designs an adaptive sparse attention mechanism to suppress noise. Experimental results on three public datasets demonstrate the superiority of our method in recommendation accuracy (P@20) and ranking quality (MRR@20), validating the model’s effectiveness.
Evoked Potential Findings in Mild Traumatic Brain Injury 1: Middle Latency Component Augmentation and Cognitive Component Attenuation

Field: Neuroscience (Life Sciences)

Objective: To compare evoked potential (EP) and electroencephalogram (EEG) recordings from patients with suspected mild traumatic brain injury (TBI) versus normal controls using computerized EP and EEG analysis procedures. Design: Matched two-group comparison design, with a second matched replication group, and a second group of normals. Setting: Private, ambulatory, non-emergency facility specializing in assessment, pain management, and rehabilitation of spine and related injuries. Patients and Other Participants: Patients were 54 consecutive referrals for computerized EP/EEG evaluation with histories of primarily motor vehicle accidents and symptoms consistent with mild TBI. Normal controls were 27 screened volunteers. Patients were arbitrarily divided into two groups and matched to the controls on the basis of age and gender. Main Outcome Measures: Outcome measures not included in this phase of investigation. Auditory and visual EPs were obtained in resting and P300 task sessions (in which subjects counted the number of randomly occurring target stimuli). The paucity of existing literature did not permit prediction of all critical EP or EEG variables. Results: Middle latency EP components (ie, after brain stem responses yet before long latency, cognitive components) showed amplitude increases (auditory PI, P2, and N2, and visual P2, 50-220 milliseconds poststimulus). Long latency cognitive components (auditor)' and visual P300 and N3, 290-700 milliseconds) showed amplitude decreases. Similar findings were present in the replication group of patients and in comparison to a second group of normal controls. Conclusions: Significant and reliable EP differences were present in patients whose histories and symptoms were consistent with mild TBI.
Should Fixed Coefficients be Reestimated Every Period for Extrapolation?

Field: Decision Sciences (Social Sciences)

Abstract This paper demonstrates that forecast accuracy is not necessarily improved when fixed‐coefficient models are sequentially re‐estimated and used for prediction, after updating the database with the latest observation(s). It is argued that although sequential estimation may minimize the variances of predictors based on some classes of estimators, sequential estimation does not necessarily yield accurate predictions (i.e. predictions that are close to actual realizations). Minimizing the mean squared prediction error about the actual realization is a necessary condition for maximizing the probability that one predictor is more accurate than others. This minimization need not require, and may even exclude, the most recent data. It has been shown by an example that a prediction based on a nonsequential estimate of a stochastically varying coefficient model is superior to predictions based on several sequential estimates of the fixed‐coefficient models, including a random walk model.
Biodecolorization of methylene blue using aspergillus consortium

Field: Environmental Science (Physical Sciences)

Abstract To establish sustainable circular ecosystems, the immense knowledge of different fungal strains as pure and mixed isolates and application them in biodecolorization of dye-laden wastewater is required. In this study, the biodecolorization of methylene blue (MB) dye was investigated by using mixed microfungal strains of Aspergillus consortium consisting of Aspergillus niger, Aspergillus flavus and Aspergillus fumigatus . The experiments were conducted in batch-mode. Analytical measurements were performed by UV-VIS spectroscopy. Optimization of operating conditions was carried out in order to achieve the optimal biodecolorization of methylene blue dye (MB). Furthermore, the results illustrated that 36 hrs., 30°C, 9, 2g/L and 150mg/L for incubation time, temperature, initial pH, fungal inoculum size and MB dye concentration, respectively, were chosen as the optimum conditions with the maximum biodecolorization of MB dye was 92%.
Congenital Juvenile Granulosa Cell Tumor of the Testis in a Fetus Showing Full 69, XXY Triploidy

Field: Medicine (Health Sciences)

Testicular juvenile granulosa cell tumor (TJGCT) occurs predominantly in infancy and may be associated with sex chromosomal abnormalities. We report a fetus aborted because of cytogenetically confirmed complete XXY triploidy. External genitalia of the fetus were female, with a short and patent vagina. The tumor presented as an abdominal multicystic mass with typical histologic and immunohistological features of JGCT. It was connected with a tubular uterus-like structure. The other gonad was an inguinally localized testis that showed histologically a Sertoli cell adenoma. Malformations typical for triploidy were also present: agenesis of the corpus callosum, stenosis of the pulmonary ostium, and hypoplasia of the lungs and adrenals. To our knowledge this is the first case of TJGCT in a triploid fetus.
Efficient and Selective Photogeneration of Cholesterol-Derived Radicals by Intramolecular Hydrogen Abstraction in Model Dyads

Field: Chemistry (Physical Sciences)

Three model dyads have been synthesized by esterification of beta- and alpha-cholesterol (Ch) with (S)- and/or (R)-ketoprofen (Kp). The alpha-dyads are efficient photogenerators of the 7-allyl Ch radicals by intramolecular H abstraction. Subsequent cyclization via C-C coupling occurs in a stereoselective way.
One analytic form for four branches of theABCDmatrix

Field: Physics and Astronomy (Physical Sciences)

It is not always possible to diagonalize the optical $ABCD$ matrix, but it\ncan be brought into one of the four Wigner matrices by a similarity\ntransformation. It is shown that the four Wigner matrices can be combined into\none matrix with four branches. This result is illustrated in terms of optical\nactivities, laser cavities, and multilayer optics.\n
Supplementation of Spring Calving Dairy Cows Grazing Spring and Summer Growths of Grass/Clover Mixtures

Field: Agricultural and Biological Sciences (Life Sciences)

Grass/clover swards vary in nitrogen (N) content throughout the season. This is mainly due to the changing proportion of clover in the sward, being low in spring and increasing throughout the grazing season as shown by SÃ¸egaard (1993). This could have major implications for efficiency of the grazing animal as demonstrated by Beever et al (1986). Season specific supplementation could be necessary in order to maximise utilisation and N-efficiency. Two grazing experiments were carried out with 30 multiparous Holstein Friesian cows on a spring (1) and summer (2) growth of a grass clover pasture containing 7.1 and 38.2% clover in the DM respectively. The three supplementation treatments (Al, Bl, CI) on the spring (1) sward consisted on 0.7, 3.1 and 3.1 kg DM day -1 of a concentrate with an analysis of ME and CP of 10.4, 12.2, 12.3 MJ kg DM -1 and 276, 230 and 204 g kg DM -1 respectively for treatment Al, Bl and CI aiming to supply 90, 100 and 90% of ERDP requirements.
Deep Learning Enhanced Dynamical Analysis to Detect Fetal Arrhythmia

Field: Medicine (Health Sciences)

Fetal arrhythmia is a leading cause of sudden infant mortality, highlighting the significance of detecting it in order to ensure the fetus. Identifying and analyzing fetal heartbeat rhythms requires a fetal Non-invasive electrocardiogram (NI-FECG). The NI-FECG signals, specifically heartbeat intervals, identify fetal arrhythmia. This study aims to develop a computationally efficient and more accurate model that uses detailed Heart rate variability (HRV) indices to better understand heart function and predict arrhythmia in prenatal and postnatal populations. To grasp cardiac dynamics, one must understand the heart's conduction system and demonstrate the significance of HRV indices incorporating time, frequency, and nonlinear analysis. These indices help to understand the complicated HRV patterns. Compared to fetal arrhythmia, neonates, and infants, normal fetal had greater HRV and better-balanced sympathetic and parasympathetic nervous system activity. The prediction of fetal arrhythmia using comprehensive HRV indicators with a one-dimensional convolutional neural network (1D-CNN) model. The complexity and non-linearity are already extracted using advanced HRV indices. The model achieved an accuracy of 96.39 %, a sensitivity is 96.29 %, and a specificity is 96.49 %. The computational efficiency and accuracy of the model enable rapid clinical decision-making using Non-invasive fetal electrocardiography (NI-FECG) and HRV indices.
[Form, size and function of the sports heart--differentiation from pathological findings].

Field: Medicine (Health Sciences)

Dependent on the nature, intensity and scope of muscular exercise, regular athletic training can result in changes in the size and form of the heart, which can be recorded by radiologic and echocardiographic techniques. Brief anaerobic exercise and purely static forms of training (sprint, strength sports) do not produce substantial increases in the size of the heart, but a rotund heart shape with rounding of the cardiac tip and in some cases a discrete increase in the wall thickness of the ventricular myocardium is frequently observed. Dependent on the scope of the training and the intensity, aerobic, endurance-oriented training (endurance sports) can induce considerable enlargement of all cardiac chambers with a change in the cardiac configuration, which is most nearly comparable to combination mitral vitium. Comparison of physiological hypertrophy of the athletic heart with pathological forms of cardiac hypertrophy (such as cardiomyopathies) is in many cases not unequivocally possible with plain X-ray films, but it is usually successful with echocardiographic examination methods.