Miracle-dz/UniFAR-FTUs huggingface dataset:
Fresh preservation of alfalfa sprouts and mushroom slices by soaking with thymol and resveratrol solutions

Abstract The preservation of fresh produce served as salads through soaking with solutions containing naturally occurring phenolic ingredients is of merit. For a primary assay, thymol and resveratrol at 0–500 ppm were prepared and used to inhibit growth and survival of Escherichia coli and Staphylococcus aureus. Thymol and resveratrol exhibited potent inhibitory activities against the growth of both bacteria. For S. aureus, cells treated with thymol at 250 ppm or resveratrol at 500 ppm, the durations to achieve 3 log reduction (3LR) were 40 and 20 min, respectively. When the cells were treated with thymol combined with resveratrol, both at 250 ppm, the 3LR value was achieved in under 5 min. Synergistic antibacterial activity between thymol and resveratrol was apparent. The antibacterial and known health‐enhancing activities of resveratrol are of interest.
Communication in Hong Kong Accident and Emergency Departments

In this article, we report findings from the first qualitatively driven study of patient–clinician communication in Hong Kong Accident and Emergency Departments (AEDs). In light of the Hong Kong Hospital Authority’s policy emphasis on patient-centered care and communication in the public hospitals it oversees, we analyze clinicians’ perceptions of the role and relevance of patient-centered communication strategies in emergency care. Although aware of the importance of effective communication in emergency care, participants discussed how this was frequently jeopardized by chronic understaffing, patient loads, and time pressures. This was raised in relation to the absence of spoken interdisciplinary handovers, the tendency to downgrade interpersonal communication with patients, and the decline in staff attendance at communication training courses. Participants’ frequent descriptions of patient-centered communication as dispensable from, and time-burdensome in, AEDs highlight a discrepancy between the stated Hong Kong Hospital Authority policy of patient-centered care and the reality of contemporary Hong Kong emergency practice.
Image-based lighting design

In this paper, we present a lighting design framework for near-diffuse real objects, starting from a set of prerecorded photographs of an object under various lighting conditions. Light sources are placed at fixed positions around an object, for which the intensities are to be determined. Using existing digital imaging software, the lighting designer paints the desired illumination distribution on a photograph of an object. This painted-on illumination is used to determine the light intensities which produce a shading of the real object matching the desired illumination distribution. Certain areas in the painted image can be favored among others by weighting their importance in the optimization algorithm.
There are no unfilled shells in unrestricted Hartree-Fock theory.

We prove that in an exact, unrestricted Hartree-Fock calculation each energy level of the Hartree-Fock equation is either completely filled or completely empty. The only assumption needed is that the two-body interaction is—like the Coulomb interaction—repulsive; it could, however, be more complicated than a simple potential; e.g., it could have tensor forces and velocity dependence. In particular, the Hartree-Fock energy levels of atoms and molecules, often called shells, are never partially filled.
Paragraph Specific N-Gram Approaches to Automatically Assessing Essay Quality

In this paper, we describe an n-gram approach to automatically assess essay quality in student writing. Underlying this approach is the development of n-gram indices that examine rhetorical, syntactic, grammatical, and cohesion features of paragraph types (introduction, body, and conclusion paragraphs) and entire essays. For this study, we developed over 300 n-gram indices and assessed their potential to predict human ratings of essay quality. A combination of these n-gram indices explained over 30% of the variance in human ratings for essays in a training and testing corpus. The findings from this study indicate the strength of using n-gram indices to automatically assess writing quality. Such indices not only explain text-based factors that influence human judgments of essay quality, but also provide new methods for automatically assessing writing quality.
Distributed Continuous Quality Assurance Process for Evaluating QoS of Performance-Intensive Software

Performance-intensive software is increasingly being used on heterogeneous combinations of OS, compiler, and hardware platforms. Examples include reusable middleware that forms the basis for scientific computing grids and distributed real-time and embedded systems. Since this software has stringent quality of service (QoS) requirements, it often provides a multitude of configuration options that can be tuned for specific application workloads and run-time environments. As performance-intensive systems evolve, developers typically conduct quality assurance (QA) tasks in-house, on a small number of configurations to identify and alleviate overhead that degrades performance. QA performed solely in-house is inadequate because of time/resource constraints, and insufficient to manage software variability, i.e., ensuring software quality on all supported target platforms across all desired configuration options. This paper addresses limitations with in-house QA for performance-intensive software by applying the Skoll distributed continuous quality assurance (DCQA) processes, to improve software performance iteratively, opportunistically, and efficiently around-the-clock in multiple, geographically distributed locations. It describes model driven tools that allow Skoll users to capture the system’s axes of variability (such as configuration options, QoS strategies, and platform dependencies). It describes experiments that apply Skoll to evaluate and improve the performance of DRE component middleware on a range of platforms and configuration options. The results show that automatic analysis of QA task results can significantly improve software quality by capturing the impact of software variability on performance and providing feedback to help developers optimize performance.
The Time Course of Contextual Effects on Visual Word Recognition

Sentence comprehension depends on continuous prediction of upcoming words. However, when and how contextual information affects the bottom-up streams of visual word recognition is unknown. This study examined the effects of word frequency and contextual predictability (cloze probability of a target word embedded in the sentence) on N1, P200, and N400 components, which are related to various cognitive operations in early visual processing, perceptual decoding, and semantic processing. The data exhibited a significant interaction between predictability and frequency at the anterior N1 component. The predictability effect, in which the low predictability words elicited a more negative N1 than high predictability words, was only observed when reading a high frequency word. A significant predictability effect occurred during the P200 time window, in which the low predictability words elicited a less positive P200 than high predictability words. There is also a significant predictability effect on the N400 component; low predictability words elicited a greater N400 than high predictability words, although this effect did not interact with frequency. The temporal dynamics of the manner in which contextual information affects the visual word recognition is discussed. These findings support the interactive account, suggesting that contextual information facilitates visual-feature and orthographic processing in the early stage of visual word processing and semantic integration in the later stage.
Human motion classification and recognition using wholebody contact force

Optical motion capture systems, which are used in broad fields of research, are costly; they need large installation space and calibrations. Applying this technology in typical homes and care centers is unrealistic. Low cost motion capture systems such as Microsoft Kinect are based on video, thus privacy issues might arise from their usage. Therefore we propose to use low cost contact force measurement systems to develop rehabilitation and healthcare monitoring tools that can be used widely. Here, we propose a novel algorithm for motion recognition using the feature vector from force data solely obtained during a daily exercise program. We recognized 7 types of movement (Radio Exercises) of 5 candidates (mean age 24, male). The results show that the average recognition rate for each motion has good score (mean: 75%), but leave room for improvement. The results also confirm that there is a dynamic signature in each movement allowing inter-personal recognition. Thus it is possible using inexpensive contact force measurement for motion analysis and motion recognition for applications such as rehabilitation or healthcare.
Aplicación del liderazgo servidor en las organizaciones

Aplicar el liderazgo servidor en las organizaciones incluye observar la relacion existente entre el liderazgo de servicio y diversas variables relacionadas con el comportamiento de las personas al interior de la organizacion, en este caso especifico, a partir de una revision teorica de investigaciones referentes al tema. Se destaca la propuesta de The Blanchard Companies sobre un modelo a traves del cual los resultados se convierten en consecuencia del logro de la vision institucional con la participacion activa de empleados y clientes. Es una perspectiva que propone el liderazgo de servicio como elemento nuclear para el exito organizacional. La rentabilidad en el largo plazo que caracteriza a las empresas de alto desempeno, se genera por acciones de liderazgo estrategico y operativo que conducen al compromiso y apasionamiento del colaborador, al igual que a la lealtad y devocion del cliente, para de forma conjunta generar unos y otros la vitalidad organizacional. Adicionalmente, a traves de la exposicion se amplian los conceptos tradicionales sobre aquellos factores criticos que inciden en el alto desempeno organizacional, se plantea la resignificacion de variables relacionadas con el desempeno organizacional y se profundiza en los elementos que inciden sobre estos factores.
Locomotion speed determines gait variability in cerebellar ataxia and vestibular failure

Temporal gait variability is a critical parameter in patients with balance problems. Increased magnitude of temporal gait variability corresponds to a higher risk of falls. The purpose of this study was to investigate the influence of walking speed on temporal stride‐to‐stride variability in patients with cerebellar and vestibular deficits. A GAITRite system was used to analyze the gait of 40 patients with cerebellar ataxia, 22 patients with bilateral vestibular failure, and 51 healthy subjects over the entire range of the individual's speed capacity. The coefficient of variability of stride time was calculated for each walk. Temporal gait variability was increased in cerebellar patients and vestibular patients. The magnitude of this variability depended on walking speed in a disease‐specific manner. In patients with cerebellar ataxia, variability was increased during slow (8.4 ± 5.3%, P < .01) and fast (7.9 ± 6.4%, P < .01) walking speed but was normal during preferred walking speed. This resulted in a speed‐related U‐shaped function of stride‐time variability. Patients with vestibular failure had increased variability during slow walking (9.9 ± 4.3%, P < .01). During walking with medium and fast walking speed, stride time variability was normal. Minimal temporal gait variability appears to be attractive for the locomotor system in cerebellar patients because these patients preferred to walk at a velocity associated with minimal stride‐time variability. In contrast to previous studies, vestibular patients accelerate rather than decelerate gait to achieve dynamic stability. This may be explained by reduced sensory integration during fast locomotion. © 2011 Movement Disorder Society
Teachers' Use of Children's Literature, Mathematics Manipulatives, and Scaffolding to Improve Preschool Mathematics Achievement: Does It Work?

The primary purpose of this study was to determine if the implementation of an intervention involving teachers' use of children's literature, related storybook manipulatives, and a scaffolding (LMS) approach to learning would improve preschool children's mathematics test scores. Additionally, the LMS approach was examined to determine whether teachers' perceptions of their effectiveness in mathematics instruction changed from the beginning to the end of the study. The subjects of the study included 60 preschool-aged children and six teachers from two child care centers. The preschool teachers participated in either a control or experimental condition (the LMS approach) in their daily mathematics instruction with their preschool children. The researcher tested the children using the Test of Early Mathematics Ability and an abbreviated version of the Stanford-Binet Intelligence Scale. The study was based on two main research questions. The first question asked if there was a difference in the Test of Early Mathematics Ability total posttest scores between children in the literature-manipulatives-scaffolding intervention group and children in the control group after assuring equivalency of the two groups. The second question addressed if preschool teachers believed they were more effective in their mathematics instruction after implementing the LMS approach with young children. The answer to the first research question was that there was no statistically significant difference in the Test of Early Mathematics Ability total posttest scores between children in the literature-manipulatives-scaffolding group and children in the control group. However, the answer to the second question was that preschool teachers believed they were more effective in their mathematics instruction after implementing the LMS approach with young children. Recommendations for future research on early childhood mathematics include the investigation of preschool children's ability, achievement, and interest in mathematics; teachers' use of mathematics scaffolding techniques; and longitudinal mathematics interventions beginning during the preschool years.
Workplace Sexual Harassment 30 Years on: A Review of the Literature

Despite its proscription in legal jurisdictions around the world, workplace sexual harassment (SH) continues to be experienced by many women and some men in a variety of organizational settings. The aims of this review article are threefold: first, with a focus on workplace SH as it pertains to management and organizations, to synthesize the accumulated state of knowledge in the field; second, to evaluate this evidence, highlighting competing perspectives; and third, to canvass areas in need of further investigation. Variously ascribed through individual (psychological or legal consciousness) frameworks, sociocultural explanations and organizational perspectives, research consistently demonstrates that, like other forms of sexual violence, individuals who experience workplace SH suffer significant psychological, health- and job-related consequences. Yet they often do not make formal complaints through internal organizational procedures or to outside bodies. Laws, structural reforms and policy initiatives have had some success in raising awareness of the problem and have shaped rules and norms in the employment context. However, there is an imperative to target further workplace actions to effectively prevent and respond to SH.
The marine reposition of empty containers under uncertain demand and supply

With development of international commerce, the advantage of marine containers has become clearer and clearer. However, it also brings about a lot of problems, such as the reposition of empty containers. We reviewed the former researches and regarded the demand and supply of the empty containers as uncertain parameters, also brought different commodities of empty containers into consideration. According to this, we set up an optimizing model for the marine reposition of empty containers, finally made a simulation for this problem.
Loss of Cytoskeletal Transport during Egress Critically Attenuates Ectromelia Virus Infection In Vivo

ABSTRACT Egress of wrapped virus (WV) to the cell periphery following vaccinia virus (VACV) replication is dependent on interactions with the microtubule motor complex kinesin-1 and is mediated by the viral envelope protein A36. Here we report that ectromelia virus (ECTV), a related orthopoxvirus and the causative agent of mousepox, encodes an A36 homologue (ECTV-Mos-142) that is highly conserved despite a large truncation at the C terminus. Deleting the ECTV A36R gene leads to a reduction in the number of extracellular viruses formed and to a reduced plaque size, consistent with a role in microtubule transport. We also observed a complete loss of virus-associated actin comets, another phenotype dependent on A36 expression during VACV infection. ECTV ΔA36R was severely attenuated when used to infect the normally susceptible BALB/c mouse strain. ECTV ΔA36R replication and spread from the draining lymph nodes to the liver and spleen were significantly reduced in BALB/c mice and in Rag-1-deficient mice, which lack T and B lymphocytes. The dramatic reduction in ECTV ΔA36R titers early during the course of infection was not associated with an augmented immune response. Taken together, these findings demonstrate the critical role that subcellular transport pathways play not only in orthopoxvirus infection in an in vitro context but also during orthopoxvirus pathogenesis in a natural host. Furthermore, despite the attenuation of the mutant virus, we found that infection nonetheless induced protective immunity in mice, suggesting that orthopoxvirus vectors with A36 deletions may be considered another safe vaccine alternative.
Intermittent loading induces the expression of 3-B-3(-) epitope in cultured bovine articular cartilage.

OBJECTIVE To study the effects of intermittent loading on the proteoglycans synthesized in intact cultured articular cartilage. METHODS Sesamoid bones carrying articular cartilage were subjected to cyclic loading in vitro for one week. A new procedure to fix and decalcify the tissue was developed and an immunohistochemical analysis of the expression of 3-B-3(-) epitope in the articular cartilage was carried out. The proteoglycans synthesized were quantified and studied using CL-2B chromatography. RESULTS Loading induced an increase in the synthesis of aggrecan molecules, which were larger and less polydisperse than those from control cartilage. Loading also induced the expression of 3-B-3(-) epitopes on newly synthesized proteoglycans. CONCLUSION These changes are similar to those found in early experimental and human osteoarthritis (OA). More variables must be studied, but our results suggest that our model might be suitable to study early events in the onset of OA.
Semi-Supervised Learning and Domain Adaptation in Natural Language Processing

This book introduces basic supervised learning algorithms applicable to natural language processing (NLP) and shows how the performance of these algorithms can often be improved by exploiting the marginal distribution of large amounts of unlabeled data. One reason for that is data sparsity, i.e., the limited amounts of data we have available in NLP. However, in most real-world NLP applications our labeled data is also heavily biased. This book introduces extensions of supervised learning algorithms to cope with data sparsity and different kinds of sampling bias. This book is intended to be both readable by first-year students and interesting to the expert audience. My intention was to introduce what is necessary to appreciate the major challenges we face in contemporary NLP related to data sparsity and sampling bias, without wasting too much time on details about supervised learning algorithms or particular NLP applications. I use text classification, part-of-speech tagging, and dependency parsing as running examples, and limit myself to a small set of cardinal learning algorithms. I have worried less about theoretical guarantees ("this algorithm never does too badly") than about useful rules of thumb ("in this case this algorithm may perform really well"). In NLP, data is so noisy, biased, and non-stationary that few theoretical guarantees can be established and we are typically left with our gut feelings and a catalogue of crazy ideas. I hope this book will provide its readers with both. Throughout the book we include snippets of Python code and empirical evaluations, when relevant. Table of Contents: Introduction / Supervised and Unsupervised Prediction / Semi-Supervised Learning / Learning under Bias / Learning under Unknown Bias / Evaluating under Bias
Gastrointestinal tract metastasis from tubulolobular carcinoma of the breast: a case report and review of the literature

Metastasis of breast cancer into the gastrointestinal tract happens rarely. The diagnosis of this kind of disease is difficult because of the nonspecific symptoms and the long interval between primary manifestations and recurrence. Awareness of this condition may lead to an accurate diagnosis and an earlier initiation of systemic treatment, thus avoiding unnecessary surgical intervention. In this paper, we report a rare case of a patient with tubulolobular carcinoma metastases to the colon, presenting with abdominal pain, discomfort, and weight loss. The patient underwent radical mastectomy and received postoperative radiotherapy and chemotherapy. Ten years later, she presented with gastrointestinal tract symptoms. Surgery combined with systemic treatment was chosen for the colon lesion. Immunohistochemical staining suggested a breast origin. The patient was still living 24 months after the diagnosis of the metastasis. This is the fourth case report in our literature review.