Miracle-dz/UniFAR-FTUs huggingface dataset:
In Defense of Minhash over Simhash

MinHash and SimHash are the two widely adopted Locality Sensitive Hashing (LSH) algorithms for large-scale data processing applications. Deciding which LSH to use for a particular problem at hand is an important question, which has no clear answer in the existing literature. In this study, we provide a theoretical answer (validated by experiments) that MinHash virtually always outperforms SimHash when the data are binary, as common in practice such as search. The collision probability of MinHash is a function of resemblance similarity (R), while the collision probability of SimHash is a function of cosine similarity (S). To provide a common basis for comparison, we evaluate retrieval results in terms of S for both MinHash and SimHash. This evaluation is valid as we can prove that MinHash is a valid LSH with respect to S, by using a general inequality S 2
Promoting Academic Engagement Among Immigrant Adolescents Through School-Family-Community Collaboration

Schools are receiving students of immigrant origin in unprecedented numbers. Using an ecological framework, the authors reviewed the community, school, familial, and individual challenges that immigrant adolescent students encounter. They examined cognitive, relational, and behavioral dimensions of student engagement as well as culturally sensitive strategies for parental involvement. Varying academic trajectories were identified revealing that although some students performed at high or improving levels over time, others showed diminishing performance. The implications for school counselors’ roles in school-family-community collaboration and intervention and practice are discussed.
Organizational Learning: A Socio-Cognitive Framework

Organizational learning is a popular topic in business and academia and attracts many researchers and practitioners from different fields. Even though organizational learning scholarship is still growing, there are few studies that cross-fertilize social cognition and organizational learning. This investigation examines organizational learning from the perspective of social cognition. It is argued that social cognition explains the organizational learning process better by integrating fragmented studies on the processes of learning, and the study proposes that organizational learning is an outcome of reciprocal interactions of the processes of information/knowledge acquisition, information/knowledge dissemination, information/knowledge implementation, sensemaking, memory, thinking, unlearning, intelligence, improvisation, and emotions - connected by organizational culture. In addition, the implications of social cognition on organizational learning are discussed.
Status of SuperSpec: a broadband, on-chip millimeter-wave spectrometer

SuperSpec is a novel on-chip spectrometer we are developing for multi-object, moderate resolution (R = 100 − 500), large bandwidth (~1.65:1) submillimeter and millimeter survey spectroscopy of high-redshift galaxies. The spectrometer employs a filter bank architecture, and consists of a series of half-wave resonators formed by lithographically-patterned superconducting transmission lines. The signal power admitted by each resonator is detected by a lumped element titanium nitride (TiN) kinetic inductance detector (KID) operating at 100 – 200 MHz. We have tested a new prototype device that is more sensitive than previous devices, and easier to fabricate. We present a characterization of a representative R = 282 channel at f = 236 GHz, including measurements of the spectrometer detection efficiency, the detector responsivity over a large range of optical loading, and the full system optical efficiency. We outline future improvements to the current system that we expect will enable construction of a photon-noise-limited R = 100 filter bank, appropriate for a line intensity mapping experiment targeting the [CII] 158 μm transition during the Epoch of Reionization.
Upregulation of chondroitin 6-sulphotransferase-1 facilitates Schwann cell migration during axonal growth

Cell migration is central to development and post-traumatic regeneration. The differential increase in 6-sulphated chondroitins during axonal growth in both crushed sciatic nerves and brain development suggests that chondroitin 6-sulphotransferase-1 (C6ST-1) is a key enzyme that mediates cell migration in the process. We have cloned the cDNA of the C6ST-1 gene (C6st1) (GenBank accession number AF178689) from crushed sciatic nerves of adult rats and produced ribonucleotide probes accordingly to track signs of 6-sulphated chondroitins at the site of injury. We found C6st1 mRNA expression in Schwann cells emigrating from explants of both sciatic nerve segments and embryonic dorsal root ganglia. Immunocytochemistry indicated pericellular 6-sulphated chondroitin products around C6ST-1-expressing frontier cells. Motility analysis of frontier cells in cultures subjected to staged treatment with chondroitinase ABC indicated that freshly produced 6-sulphated chondroitin moieties facilitated Schwann cell motility, unlike restrictions resulting from proteoglycan interaction with matrix components. Sciatic nerve crush provided further evidence of in vivo upregulation of the C6ST-1 gene in mobile Schwann cells that guided axonal regrowth 1-14 days post crush; downregulation then accompanied declining mobility of Schwann cells as they engaged in the myelination of re-growing axons. These findings are the first to identify upregulated C6st1 gene expression correlating with the motility of Schwann cells that guide growing axons through both developmental and injured environments.
Validity and Reliability of the Session-RPE Method for Quantifying Training in Australian Football: A Comparison of the CR10 and CR100 Scales

Abstract Scott, TJ, Black, CR, Quinn, J, and Coutts, AJ. Validity and reliability of the session-RPE method for quantifying training in Australian football: A comparison of the CR10 and CR100 scales. J Strength Cond Res 27(1): 270–276, 2013—The purpose of this study was to examine and compare the criterion validity and test-retest reliability of the CR10 and CR100 rating of perceived exertion (RPE) scales for team sport athletes that undertake high-intensity, intermittent exercise. Twenty-one male Australian football (AF) players (age: 19.0 ± 1.8 years, body mass: 83.92 ± 7.88 kg) participated the first part (part A) of this study, which examined the construct validity of the session-RPE (sRPE) method for quantifying training load in AF. Ten male athletes (age: 16.1 ± 0.5 years) participated in the second part of the study (part B), which compared the test-retest reliability of the CR10 and CR100 RPE scales. In part A, the validity of the sRPE method was assessed by examining the relationships between sRPE, and objective measures of internal (i.e., heart rate) and external training load (i.e., distance traveled), collected from AF training sessions. Part B of the study assessed the reliability of sRPE through examining the test-retest reliability of sRPE during 3 different intensities of controlled intermittent running (10, 11.5, and 13 km·h−1). Results from part A demonstrated strong correlations for CR10- and CR100-derived sRPE with measures of internal training load (Banisters TRIMP and Edwards TRIMP) (CR10: r = 0.83 and 0.83, and CR100: r = 0.80 and 0.81, p < 0.05). Correlations between sRPE and external training load (distance, higher speed running and player load) for both the CR10 (r = 0.81, 0.71, and 0.83) and CR100 (r = 0.78, 0.69, and 0.80) were significant (p < 0.05). Results from part B demonstrated poor reliability for both the CR10 (31.9% CV) and CR100 (38.6% CV) RPE scales after short bouts of intermittent running. Collectively, these results suggest both CR10- and CR100-derived sRPE methods have good construct validity for assessing training load in AF. The poor levels of reliability revealed under field testing indicate that the sRPE method may not be sensible to detecting small changes in exercise intensity during brief intermittent running bouts. Despite this limitation, the sRPE remains a valid method to quantify training loads in high-intensity, intermittent team sport.
Board of Director Composition, Shareholder Wealth, and Dividend Policy

Advocates of board of director reform suggest that outsider dominated boards take a more active role in promoting the financial performance of the firm. Although a number of studies have examined the board composition/financial performance relationship, this study is unique in three respects. It adds risk-adjusted market return as a performance variable in board composition/financial performance studies and finds a direct relationship between outside directors representation on the board and corporate financial performance. Finally, the analysis is extended to incorporate the dividend decision of the firm. The findings provide evidence that board composition affects dividend policy.
The mechanism of assimilate partitioning and carbohydrate compartmentation in fruit in relation to the quality and yield of tomato.

The limitation of tomato yield was investigated in a number of cultivars with contrasting fruiting habits. Unless light is limiting, yield is mainly restricted by the number or the size of the fruit (i.e. the sink strength) rather than the supply of assimilate (i.e. the source strength). Fruit size is determined by both cell number and cell size. The rate of fruit expansion is affected by assimilate supply, temperature and water relations in the plant. The size or the growth rate of a tomato fruit is regulated by the import of assimilate and water. The sink strength for assimilate of a tomato fruit measured by the rate of assimilate import may be related to the routes of sugar transport into the sink cells during fruit development. Enzymic regulation of the hydrolysis of sucrose by sucrose synthase and the accumulation of starch by ADPG pyrophosphorylase may determine the rate of assimilate import in the young fruit. Vacuolar invertase activity may determine the sugar composition of a mature fruit, but may not affect the overall dry matter accumulation of a tomato fruit. While yield is determined by the balance between source and sink strengths of the plant, quality is determined by the transport and metabolism of sugars within the fruit.
The Mathematical Contributions of Serge Lang, Volume 54, Number 4

T his article is the second in a two-part series in memory of Serge Lang, who passed away on September 12, 2005. In the first article, which appeared in the May 2006 issue of the Notices , we invited contributions from a number of individuals who knew Serge on a somewhat personal level. For this part, we sought expositions which would describe, with certain technical details as necessary, aspects of Serge’s contribution to mathematical research. To begin understanding the breadth and depth of Serge’s research endeavors, we refer to Volume I of his Collected Papers, where he outlined his mathematical career in a number of periods. We list here Lang’s own description of his research, using only a slight paraphrasing of what he wrote (see table at topofnextpage). For this article, the editors choosetousethis listasaguide, thoughitshouldbe obvious that we cannot address all facets of Lang’s mathematical research. In addition to research, Lang’s contribution to mathematics includes, as we all know, a large number of books. How many books did Lang write? We (the editors) are not sure how to answer that question. Should we count political monographs such as Challenges? How do we count multiple
A Comparative Study of combined Feature Selection Methods for Arabic Text Classification

Text classification is a very important task due to the huge amount of electronic documents. One of the problems of text classification is the high dimensi onality of feature space. Researchers proposed many algorithms to select related features from text. Th ese algorithms have been studied extensively for En glish text, while studies for Arabic are still limited. This st udy introduces an investigation on the performance of five widely used feature selection methods namely Chi-square, Correlation, GSS Coefficient, Information Gai n and Relief F. In addition, this study also introduces a n approach of combination of feature selection meth ods based on the average weight of the features. The experime nts are conducted using Naive Bayes and Support Vector Machine classifiers to classify a published Arabic corpus. The results show that the best results were obtained when using Information Gain method. The results also show that the combination of multiple feature sel ection methods outperforms the best results obtain by the individual methods.
Using Team Building Methods With an Ice Hockey Team: An Action Research Case Study

Research investigating the use of several team building (TB) interventions collectively in one case study is sparse. The purpose of this study was to evaluate, via action research, the process of implementation of a season-long (12 months) multifaceted TB program with a junior league ice hockey team in Finland. The team consisted of 22 players, aged 15–16 years, and three coaches. Inductive content analyses revealed that performance profiling, individual and group goal setting, and role clarification produced additional value to the TB program. Group norms became a vital part of group goal setting. The results are discussed in relation to existing definitions of TB and the importance of using a multifaceted approach to TB.
Superficial exudates of neutrophils prevent invasion of Bacillus anthracis bacilli into abraded skin of resistant mice

Skin window procedures in humans have shown rapid accumulation of neutrophils into the exuded fluids above abraded skin. The present study was undertaken to determine if similar epicutaneous neutrophil accumulation might explain the extreme resistance of HRS/J mice, both hairless (hr/hr) and haired (hr/+), to experimental cutaneous Bacillus anthracis Sterne infections on abraded skin. In this study, very early (6 h) biopsies demonstrated a lack of bacilli in skin from the HRS/J hr/hr mice, indicating that the organisms never did invade in these animals as opposed to early skin entry and then efficient clearance by host responses in the tissues. Touch preparations of either the inoculation filter or the skin surface revealed more inflammatory cells, fewer bacilli, and a higher percentage of cell‐associated bacilli in the HRS/J hr/hr mice than in comparator strains. In the HRS/J mice, cyclophosphamide treatment or separation of inoculated spores from the inflammatory infiltrates by a second filter below both produced marked increases in the number of bacilli observed. Examination of inoculation filter specimens demonstrated ingestion of spores and bacilli by neutrophils inside the filter at 6 h after inoculation. These findings suggest that an early and vigorous inflammatory cell infiltrate in HRS/J mice attacks the inoculated organisms above the skin surface and does not allow them to invade the tissues below.
Student Views About Learning Math and Social Studies

Math and social studies differ in the usual instructional pattern found in elementary classrooms, in the goals sought, and of course in the actual content. Based on documented differences in the two fields, we expected pupils to hold different ideas about how to learn each subject and to express different reasons for positive and negative experiences in each subject. Sixty fifth grade pupils from 11 classrooms were interviewed to explore their attitudes and conceptions about learning math and social studies. The interviews included pupils’ definitions of each school subject, descriptions of typical classroom activities, probes regarding how each subject was actually learned, and descriptions of times liked and disliked in each subject. Students’ conceptions and attitudes regarding math and social studies were different. Consistent with expectations, pupils characterized positive and negative experiences in math in regard to their success or ability to do the work while social studies experiences were evaluated more in terms of whether they were interesting or boring. Among other differences, more students thought they could learn social studies on their own than math.
Us and Them: Intergroup Failures of Empathy

People are often motivated to increase others' positive experiences and to alleviate others' suffering. These tendencies to care about and help one another form the foundation of human society. When the target is an outgroup member, however, people may have powerful motivations not to care about or help that “other. ” In such cases, empathic responses are rare and fragile; it is easy to disrupt the chain from perception of suffering to motivation to alleviate the suffering to actual helping. We highlight recent interdisciplinary research demonstrating that outgroup members' suffering elicits dampened empathic responses as compared to ingroup members' suffering. We consider an alternative to empathy in the context of intergroup competition: schadenfreude—pleasure at others' pain. Finally, we review recent investigations of intergroup-conflict interventions that attempt to increase empathy for outgroups. We propose that researchers across the range of psychological sciences stand to gain a better understanding of the foundations of empathy by studying its limitations.
Source Separation as a By-Product of Regularization

This paper reveals a previously ignored connection between two important fields: regularization and independent component analysis (ICA). We show that at least one representative of a broad class of algorithms (regularizers that reduce network complexity) extracts independent features as a by-product. This algorithm is Flat Minimum Search (FMS), a recent general method for finding low-complexity networks with high generalization capability. FMS works by minimizing both training error and required weight precision. According to our theoretical analysis the hidden layer of an FMS-trained autoassociator attempts at coding each input by a sparse code with as few simple features as possible. In experiments the method extracts optimal codes for difficult versions of the "noisy bars" benchmark problem by separating the underlying sources, whereas ICA and PCA fail. Real world images are coded with fewer bits per pixel than by ICA or PCA.
A study on Beijing genotype in the clinical isolates of pulmonary drug-resistant tuberculosis

Background: Mycobacterium tuberculosis (MTB) Beijing strains are spread worldwide and are responsible for major outbreaks of tuberculosis (TB), sometimes spreading multidrug resistance (MDR). Aim: The aim of this study was to explore clinical features associated with the infection with Beijing strains among MDR patients of pulmonary TB in Lucknow and surrounding areas. Materials and Methods: It was a hospital-based epidemiological study. Our study population was selected from all the newly diagnosed patients attending outpatient department and admitted patients of Department of Respiratory Medicine, King George's Medical University, Lucknow, Uttar Pradesh, India. Those isolates which were characterized to be MTB by morphological and molecular techniques were tested for their resistance against the first-line drugs; after which each patient's isolate was genotyped. Results: The results suggested that the presence of Beijing genotype in 31.78% of strains. Conclusion: Our results predicted that genotypic patterns reveal a large diversity among the MTB Beijing strain population. Increasing frequency of Beijing strains demands further research to unravel the factors behind its propensity to prevail.
Progress in the last decade in our understanding of primary progressive aphasia

Primary progressive aphasia (PPA) is a focal neurodegeneration of the brain affecting the language network. Patients can have isolated language impairment for years without impairment in other areas. PPA is classified as primary progressive nonfluent aphasia (PNFA), semantic dementia (SD), and logopenic aphasia, which have distinct patterns of atrophy on neuroimaging. PNFA and SD are included under frontotemporal lobar degenerations. PNFA patients have effortful speech with agrammatism, which is frequently associated with apraxia of speech and demonstrate atrophy in the left Broca’s area and surrounding region on neuroimaging. Patients with SD have dysnomia with loss of word and object (or face) meaning with asymmetric anterior temporal lobe atrophy. Logopenic aphasics have word finding difficulties with frequent pauses in conversation, intact grammar, and word comprehension but impaired repetition for sentences. The atrophy is predominantly in the left posterior temporal and inferior parietal regions. Recent studies have described several progranulin mutations on chromosome 17 in PNFA. The three clinical syndromes have a less robust relationship to the underlying pathology, which is heterogeneous and includes tauopathy, ubiquitinopathy, Pick’s disease, corticobasal degeneration, progressive supranuclear palsy, and Alzheimer’s disease. Recent studies, however, seem to indicate that a better characterization of the clinical phenotype (apraxic, agrammatic, semantic, logopenic, jargon) increases the predictive value of the underlying pathology. Substantial advances have been made in our understanding of PPAs but developing new biomarkers is essential in making accurate causative diagnoses in individual patients. This is critically important in the development and evaluation of disease-modifying drugs.
Solid, Part-Solid, or Non-Solid?: Classification of Pulmonary Nodules in Low-Dose Chest Computed Tomography by a Computer-Aided Diagnosis System

ObjectivesThe purpose of this study was to develop and validate a computer-aided diagnosis (CAD) tool for automatic classification of pulmonary nodules seen on low-dose computed tomography into solid, part-solid, and non-solid. Materials and MethodsStudy lesions were randomly selected from 2 sites participating in the Dutch-Belgian NELSON lung cancer screening trial. On the basis of the annotations made by the screening radiologists, 50 part-solid and 50 non-solid pulmonary nodules with a diameter between 5 and 30 mm were randomly selected from the 2 sites. For each unique nodule, 1 low-dose chest computed tomographic scan was randomly selected, in which the nodule was visible. In addition, 50 solid nodules in the same size range were randomly selected. A completely automatic 3-dimensional segmentation-based classification system was developed, which analyzes the pulmonary nodule, extracting intensity-, texture-, and segmentation-based features to perform a statistical classification. In addition to the nodule classification by the screening radiologists, an independent rating of all nodules by 3 experienced thoracic radiologists was performed. Performance of CAD was evaluated by comparing the agreement between CAD and human experts and among human experts using the Cohen &kgr; statistics. ResultsPairwise agreement for the differentiation between solid, part-solid, and non-solid nodules between CAD and each of the human experts had a &kgr; range between 0.54 and 0.72. The interobserver agreement among the human experts was in the same range (&kgr; range, 0.56–0.81). ConclusionsA novel automated classification tool for pulmonary nodules achieved good agreement with the human experts, yielding &kgr; values in the same range as the interobserver agreement. Computer-aided diagnosis may aid radiologists in selecting the appropriate workup for pulmonary nodules.