Miracle-dz/UniFAR-FTUs huggingface dataset:
EVALUATION OF THE RELATIONSHIP BETWEEN LUNG FUNCTION AND ANTHROPOMETRIC PARAMETERS IN NORMAL HEALTHY VOLUNTEERS AND SPORT PERSONS

Exercise physiology has become an increasingly important topic for research and discussion. Physical inactivity and sedentary lifestyles is linked to various chronic and metabolic diseases. Exercise has shown to increase muscular strength, decrease blood pressure, increase oxygen consumption and improve the cardiovascular / cardio-respiratory function. Lung function studies give a good estimate of the physical endurance and PEFR is one of the most sensitive parameters to assess lung function. In the present study mini wright’s peak flow meter is used to assess the impact of exercise and athletic training on pulmonary function. The present study reveals that there is a significant increase in PEFR (Peak Expiratory Flow Rate) in athletes and other sportsmen compared to control group and also there is a significant correlation of weight, BMI (Body Mass Index) and BSA (Body Surface Area) to PEFR in sportsmen as compared to control group.
4-Chloro-N-(2-methoxyphenyl)benzamide

The title compound, C14H12ClNO2, was prepared by refluxing 4-chlorobenzoyl chloride with o-anisidine in CHCl3. The methoxyphenyl–amide segment of the molecule is almost planar, with a dihedral angle of 5.10 (7)° between the benzene ring and the C—N—C(O)—C fragment. A weak intramolecular N—H⋯O contact forms an S(5) ring and contributes to the planarity of this portion of the molecule. The two benzene rings are inclined at an angle of 26.74 (7)°. In the crystal structure, intermolecular Cl⋯O interactions of 3.1874 (9) Å generate centrosymmetric dimers. These are further linked by C—H⋯O and C—H⋯π interactions, forming inversion related sheets parallel to [001].
(E)-N-{2-[1-(Benzylimino)ethyl]phenyl}benzamide

In the title compound, C22H20N2O, the molecular conformation is supported by an intramolecular N—H⋯N hydrogen bond, resulting in an almost planar [mean deviation = 0.048 (2) Å] S(6) ring. The dihedral angles between the central benzene ring and the imine- and amide-substituted aromatic rings are 76.6 (2) and 11.7 (2)°, respectively.
Social prescribing: a review of community referral schemes

The review aims to set the scene for the conditions under which social prescribing has arisen and consider the efficacy of different referral options. Its objectives are to provide definitions, models and notable examples of social prescribing schemes and to assess the means by which and the extent to which these schemes have been evaluated. The review makes recommendations for practice, policy and future research
(E)-Benzyl(1-phenylethylidene)amine

The title compound, C15H15N, represents an E isomer. The molecule exhibits a minor [9.1 (2)%] disorder with methylbenzylidene and benzyl groups interchanging their positions. The C=N bond length is 1.292 (2) Å. The molecular geometry is essentially planar, with the maximal twist of 8.5 (3)° for the benzyl group. The herringbone packing arrangement does not exhibit any π-stacking interactions.
Teaching to Promote Deep Understanding and Instigate Conceptual Change

This paper focuses on (1) how to promote deep understanding by making the students to question their inherent conceptual knowledge of how the world works, and (2) on how to correct these views should they be different form the scientifically proven views. This paper also reviews alternate methods of teaching that promote real learning, and explains what it entails to provoke deep understanding and conceptual change. This paper suggests an additional method of how the teacher can promote deep understanding that works best in small classes and in group situations. The teacher, first, has to select a hook that will engage the students and will make them want to know more. The next step is to help the students assimilate and accommodate the new information. This can be done by asking the right questions at the right time and provoking the students to dig more deeply into the problem at hand. Making meaningful associations and suggesting how to chunk the new information might help. In cases, when students come to class with an erroneous conceptual understanding of the world around them, a more radical approach is needed to change student’s prior beliefs. They need to be confronted with their personal beliefs, realize that these are not working to solve the problem, and be led through constructing a scientifically more correct model. What is important throughout the learning process of the students’, is that they really think through all arguments on their “own” and “construct” further knowledge upon already understood concepts. A good instructor can further prompt the students to construct a mental model, instigate them to reflect on their own thinking, and finally provide good examples of how to transfer the knowledge to other situations. The ultimate goal is to promote deep learning in the students’ own minds.
6-[(2-Methylphenyl)sulfanyl]-5-propylpyrimidine-2,4(1H,3H)-dione

In the title pyrimidine-2,4-dione derivative, C14H16N2O2S, the dihedral angle between the six-membered rings is 77.81 (10)°. The molecule is twisted about the Cp—S (p = pyrimidine) bond, with a C—S—C—N torsion angle of −59.01 (17)°. An intramolecular C—H⋯S hydrogen bond generates an S(5) ring motif. In the crystal, bifurcated acceptor N—H⋯O and C—H⋯O hydrogen bonds generate inversion-related dimers incorporating R 2 1(9) and R 2 2(8) loops. These dimers are connected into a chain extending along the a-axis direction by a second pair of inversion-related N—H⋯O hydrogen bonds, forming another R 2 2(8) loop. The crystal structure is further stabilized by weak intermolecular C—H⋯π interactions, generating a three-dimensional network.
Diversity in executive healthcare leadership: Does it matter? Perspectives and implications for access to care by people of color

REGINALD A. SILVER: Diversity in Executive Healthcare Leadership: Does it Matter? Perspectives and Implications for Access to Care by People of Color (Under the direction of Ned Brooks, DrPH) One third of the U. S. population belongs to an ethnic group other than non-Hispanic White and that population is growing increasingly diverse. People of color are increasingly accessing healthcare services, yet they represent less than one percent of healthcare leadership. The primary purpose of this study is to address two key research questions: 1. What are the opinions and perceptions of White healthcare executives and executives of color regarding the race of healthcare executives and how it may affect access to care for people of color? 2. To what extent do White healthcare executives and healthcare executives of color vary in their opinions about how to improve access to healthcare for people of color? This research is based on qualitative data obtained from interviews of key informants who are healthcare leaders in North Carolina and South Carolina. Informants were selected using a convenience sampling strategy. They were asked about their perspectives on the representation of people of color in executive healthcare leadership; what prevents people of color from obtaining senior leadership roles in greater numbers; and how the absence of people of color in senior leadership roles impacts access to healthcare services for people of color.
(4-Methylphenyl)[1-(4-methylphenyl)-3-(5-nitro-2-furyl)-1H-pyrazol-4-yl]methanone

In the title pyrazole compound, C22H17N3O4, an intramolecular C—H⋯O contact generates a seven-membered ring, producing an S(7) ring motif. The furan and pyrazole rings are essentially planar [maximum deviations = 0.004 (1) and 0.004 (2) Å, respectively] and are almost coplanar, making a dihedral angle of 3.75 (10)°. One of the methylphenyl groups is inclined to the pyrazole ring, as indicated by the dihedral angle of 48.41 (9)°. In the crystal structure, molecules are linked into chains along [10] by C—H⋯O contacts. The crystal structure is further stabilized by π–π interactions [centroid–centroid distance = 3.4437 (10) Å].
NECESSARY SKILLS FOR ACCOUNTING GRADUATES: AN EXPLORATTORY STUDY TO DETERMINE WHAT THE PROFESSION WANTS

This study obtains the viewpoints of two important constituent groups for higher education accounting programs: (1) public accountants and (2) non-public accountants, regarding the importance of accounting-related skills and topics to be covered in undergraduate curricula. Of 34 accounting-related skills and topics, statistically significant differences for 19 were found between the two groups. Implications for accounting educators are discussed.
(E)-4-Chloro-N-[4-(methylsulfonyl)benzylidene]aniline

In the crystal structure of the title compound, C14H12ClNO2S, the molecules display a trans conformation with respect to the C=N double bond. The dihedral angle between the methylsulfonyl benzene and chlorobenzene rings is 59.59 (8)°. The crystal packing is stabilized by weak C—H⋯O interactions and by π–π stacking interactions between inversion-related methylsulfonyl benzene rings [centroid–centroid distance = 3.8579 (11) Å].
The Acculturation Processes: The Strategies and Factors Affecting the Degree of Acculturation

This article addresses the acculturation process immigrants and refugees go through when immigrating to the United States, and the various factors that impact the process of acculturation for both the individual and the family as a whole. The nature of the acculturative stress, which groups of immigrants are mostly affected by it, and the psychological disorders caused as a result of going through this process have been discussed. Four strategies of coping with the acculturative stress process and the factors that impact the choice of a certain strategy have also been described.
Abstract TP425: Clinical and Radiological Spectrum of Nontraumatic Cortical Subarachnoid Hemorrhages : A Consecutive Series of 62 Patients

Non-traumatic cortical subarachnoid hemorrhage (cSAH) is an unusual location of SAH not related to aneurysmal rupture. Several causes have been described in small cohorts. We report the characteristics and the follow-up of a large cohort of such patients. Methods: During 4 years, consecutive patients admitted in our institution with a cSAH revealed by neurological symptoms were included in a registry. Retrospective review of medical records, neuroimaging studies, and follow-up data was performed. Results: Sixty two patients (37 women; mean age ± SD : 66 ± 14 years) were included. The main clinical presentation was a transient deficit in 50 % of cases. Headache was present in only 39 % of cases. Cerebral amyloid angiopathy (CAA) accounted for 50 % of cases. The main other etiologies were reversible vasoconstriction syndrome (13 %), endocarditis (11 %), severe intracranial or cervical arterial stenoses (8 %) and cerebral venous thrombosis (5 %). Patients with CAA were older (p < 0.001) and suffered essentially from transient deficit (80 vs 18 %; p < 0.001) without headache (18 % vs 58 %; p = 0.002). Cortical hemosiderosis on MRI was strongly associated with CAA (77 % vs 0 %; p < 0.001). Follow up data were available in 55 patients (28 with CAA). Forty eight patients underwent an imaging follow up (25 with CAA). Recurrent hemorrhages (cSAH or hematoma) occurred in 52 % of CAA cases against 12 % in other origins (p = 0.01). Conclusions: Our data show that CCA is clearly the main etiology of cSAH with a specific pattern associating transient neurological deficit without headache and cortical hemosiderosis on MRI. Many origins can be found in younger patients to whom the diagnosis is guided by imaging findings and clinical background. The risk of recurrence is high in CAA contrary to other etiologies.
SCUBA-2 Ultra Deep Imaging EAO Survey (Studies). III. Multiwavelength Properties, Luminosity Functions, and Preliminary Source Catalog of 450 μm Selected Galaxies

We construct a SCUBA-2 450 μm map in the COSMOS field that covers an area of 300 arcmin2 and reaches a 1σ noise level of 0.65 mJy in the deepest region. We extract 256 sources detected at 450 μm with signal-to-noise ratios >4.0 and analyze the physical properties of their multiwavelength counterparts. We find that most of the sources are at z ≲ 3, with a median of . About of our sources are classified as starburst galaxies based on their total star formation rates (SFRs) and stellar masses (M*). By fitting the far-infrared spectral energy distributions, we find that our 450 μm selected sample has a wide range of dust temperatures (20 K ≲ Td ≲ 60 K), with a median of K. We do not find a redshift evolution in dust temperature for sources with at z < 3. However, we find a moderate correlation where the dust temperature increases with the deviation from the SFR–M* relation. The increase in dust temperature also correlates with optical morphology, which is consistent with merger-triggered starbursts in submillimeter galaxies. Our galaxies do not show the tight IRX–βUV correlation that has been observed in the local universe. We construct the infrared luminosity functions of our 450 μm sources and measure their comoving SFR densities (SFRDs). The contribution of the population to the SFRD rises dramatically from z = 0 to 2 (∝(1 + z)3.9±1.1) and dominates the total SFRD at z ≳ 2.
Universal limitations on quantum key distribution over a network

The possibility to achieve secure communication among trusted parties by means of the quantum entanglement is intriguing both from a fundamental and an application purpose. In this work, we show that any state (after distillation) from which a quantum secret key can be obtained by local measurements has to be genuinely multipartite entangled. We introduce the most general form of memoryless network quantum channel: quantum multiplex channels. We define and determine asymptotic and non-asymptotic LOCC assisted conference key agreement capacities for quantum multiplex channels and provide various strong and weak converse bounds in terms of the divergence based entanglement measures of the quantum multiplex channels. The structure of our protocol manifested by an adaptive strategy of secret key and entanglement (GHZ state) distillation over an arbitrary multiplex quantum channel is generic. In particular, it provides a universal framework to study the performance of quantum key repeaters and - for the first time - of the MDI-QKD setups of channels. For teleportation-covariant multiplex quantum channels, which are channels with certain symmetries, we get upper bounds on the secret key agreement capacities in terms of the entanglement measures of their Choi states. For some network prototypes of practical relevance, we evaluate upper bounds on the conference key agreement capacities and MDI-QKD capacities. Upper bounds on the LOCC-assisted conference key agreement rates are also upper bounds on the distillation rates of GHZ states, a class of genuinely entangled pure states. We also obtain bounds on the rates at which conference key and GHZ states can be distilled from a finite number of copies of an arbitrary multipartite quantum state. Using our bounds, in particular cases, we are able to determine the capacities for quantum key distribution channels and rates of GHZ-state distillation.
Information and quantum theories: an analysis in one-dimensional systems

We pedagogically present the information theory as originally established, explaining its essential ideas and paying attention to the expression employed to measure the amount of information. We also discuss relationships between information and quantum theories. In this context we determine the information entropies on the position, Sx, and momentum, Sp, spaces, in addition to the entropy sum, St. Here, we use the modified entropic expressions that are dimensionally consistent. We provide original explanations for the behaviors of the Sx, Sp and St values analyzing the probability densities and by means of the normalization constants and properties of Fourier transform. We validate the entropic uncertainty relation and inspect the standard deviation and information entropies as measures of quantum uncertainty. The systems of interest are unidimensional one-particle quantum systems in the ground and excited states.
Towards a critical race methodology in algorithmic fairness

We examine the way race and racial categories are adopted in algorithmic fairness frameworks. Current methodologies fail to adequately account for the socially constructed nature of race, instead adopting a conceptualization of race as a fixed attribute. Treating race as an attribute, rather than a structural, institutional, and relational phenomenon, can serve to minimize the structural aspects of algorithmic unfairness. In this work, we focus on the history of racial categories and turn to critical race theory and sociological work on race and ethnicity to ground conceptualizations of race for fairness research, drawing on lessons from public health, biomedical research, and social survey research. We argue that algorithmic fairness researchers need to take into account the multidimensionality of race, take seriously the processes of conceptualizing and operationalizing race, focus on social processes which produce racial inequality, and consider perspectives of those most affected by sociotechnical systems.
A study on Modern Messaging Systems- Kafka, RabbitMQ and NATS Streaming

Distributed messaging systems form the core of big data streaming, cloud native applications and microservice architecture. With real-time critical applications there is a growing need for well-built messaging platform that is scalable, fault tolerant and has low latency. There are multiple modern messaging systems that have come up in the recent past, all with their own pros and cons. This has become problematic for the industry to decide which messaging system is the most suitable for a specific application. An in-depth study is required to decide which features of a messaging system meet the needs of the application. This survey paper outlines the modern messaging technologies and delves deep on three popular publisher/subscriber systems- Apache Kafka, RabbitMQ and NATS Streaming. The paper provides information about messaging systems, the use cases, similarities and differences of features to facilitate users to make an informed decision and also pave way for future research and development.
Deep Ritz revisited

Recently, progress has been made in the application of neural networks to the numerical analysis of partial differential equations (PDEs). In the latter the variational formulation of the Poisson problem is used in order to obtain an objective function - a regularised Dirichlet energy - that was used for the optimisation of some neural networks. In this notes we use the notion of $\Gamma$-convergence to show that ReLU networks of growing architecture that are trained with respect to suitably regularised Dirichlet energies converge to the true solution of the Poisson problem. We discuss how this approach generalises to arbitrary variational problems under certain universality assumptions of neural networks and see that this covers some nonlinear stationary PDEs like the $p$-Laplace.
A Real-Time Global Inference Network for One-Stage Referring Expression Comprehension

Referring expression comprehension (REC) is an emerging research topic in computer vision, which refers to the detection of a target region in an image given a test description. Most existing REC methods follow a multistage pipeline, which is computationally expensive and greatly limits the applications of REC. In this article, we propose a one-stage model toward real-time REC, termed real-time global inference network (RealGIN). RealGIN addresses the issues of expression diversity and complexity of REC with two innovative designs: adaptive feature selection (AFS) and Global Attentive ReAsoNing (GARAN). Expression diversity concerns varying expression content, which includes information such as colors, attributes, locations, and fine-grained categories. To address this issue, AFS adaptively fuses features of different semantic levels to tackle the changes in expression content. In contrast, expression complexity concerns the complex relational conditions in expressions that are used to identify the referent. To this end, GARAN uses the textual feature as a pivot to collect expression-aware visual information from all regions and then diffuses this information back to each region, which provides sufficient context for modeling the relational conditions in expressions. On five benchmark datasets, i.e., RefCOCO, RefCOCO+, RefCOCOg, ReferIT, and Flickr30k, the proposed RealGIN outperforms most existing methods and achieves very competitive performances against the most advanced one, i.e., MAttNet. More importantly, under the same hardware, RealGIN can boost the processing speed by 10–20 times over the existing methods.
Self-supervised Object Motion and Depth Estimation from Video

We present a self-supervised learning framework to estimate the individual object motion and monocular depth from video. We model the object motion as a 6 degree-of- freedom rigid-body transformation. The instance segmentation mask is leveraged to introduce the information of object. Compared with methods which predict dense optical flow map to model the motion, our approach significantly reduces the number of values to be estimated. Our system eliminates the scale ambiguity of motion prediction through imposing a novel geometric constraint loss term. Experiments on KITTI driving dataset demonstrate our system is capable to capture the object motion without external annotation. Our system outperforms previous self-supervised approaches in terms of 3D scene flow prediction, and contribute to the disparity prediction in dynamic area.
Logistic Regression Models for Aggregated Data

Abstract Logistic regression models are a popular and effective method to predict the probability of categorical response data. However, inference for these models can become computationally prohibitive for large datasets. Here we adapt ideas from symbolic data analysis to summarize the collection of predictor variables into histogram form, and perform inference on this summary dataset. We develop ideas based on composite likelihoods to derive an efficient one-versus-rest approximate composite likelihood model for histogram-based random variables, constructed from low-dimensional marginal histograms obtained from the full histogram. We demonstrate that this procedure can achieve comparable classification rates to the standard full data multinomial analysis and against state-of-the-art subsampling algorithms for logistic regression, but at a substantially lower computational cost. Performance is explored through simulated examples, and analyses of large supersymmetry and satellite crop classification datasets. Supplementary materials for this article are available online.