Miracle-dz/UniFAR-FTUs huggingface dataset:
Pedagogic Practice as a Form of Social Justice: Exploring Conceptions of Engaged Pedagogy Among Florida HBCUs

First-Year Seminar (FYS) is a retention tool post-secondary institutions utilize to motivate matriculation from the first to second year of college for first-time in college students (FTIC). Yet, very little knowledge has been published about the pedagogic and teaching methods of FYS instructors, particularly at Black colleges and universities who have a history of centering social justice practices holistically. The emphasis of this analysis is to disaggregate the approaches and perceptions of historically Black colleges and universities (HBCUs) FYS academic instructional practitioners. Additionally, this work clarifies the forms in which these academic agents, primarily instructors, leverage tenets of culturally appropriate pedagogy to actualize social justice in their instructional methods. Six participants were interviewed, and data were coded and analyzed. Thus, the researchers contend that HBCU FYS instructors enact a curriculum of instruction that is influenced by culture and the historic heritages of the universities as an articulation of social justice in teaching.
The Social‐Belonging Intervention

All students travel a social distance in coming to school. They leave behind families and communities to enter new social spaces where they strive to build new friendships and relationships with instructors while taking on challenging learning and achievement tasks. In entering a new social space, people can readily wonder whether they will belong, but particularly so when their social group is negatively stereotyped or underrepresented in that space. In this state of belonging uncertainty, everyday challenges can seem to threaten one’s belonging in the setting as a whole. To protect this sense of belonging, the socialbelonging intervention represents the general truth that common challenges and worries about belonging are normal in an academic transition and improve with time. Across a dozen randomized field trials, the intervention, delivered as an interactive exercise lasting an hour or less, has improved students’ integration into secondary and postsecondary school communities and raised academic performance years into the future. Typically the greatest benefits are observed for students from groups that are negatively stereotyped or underrepresented in the context. Here we review the origins of the socialbelonging intervention in basic research; discuss its relationship to other psychologically “wise” interventions; review outcome effects; discuss heterogeneity and processes over time; share materials to promote effective use; and discuss implications for psychological theory, education, and policy.
Cytogenetic Study of Aplastic Anaemia in Eastern Indian population

Research on the relation of Aplastic Anaemia (AA) and Cytogenetic Abnormalities (CAs) is still at a nascent stage in India. The morphological examination may not be enough for diagnosis and there comes the importance cytogenetic analysis. AAis a rare syndrome of bone marrow (BM) failure characterized by peripheral pancytopenia and marrow hypocellularity in the absence of an abnormal infiltrate and no increase in reticulin. [1] The disease can be categorized into two groups i.e. congenital/inherited and acquired aplastic anaemia. The major types of inherited AA (IAA) are Fanconi anaemia, Dyskeratosiscongenita, Shwachman diamond syndrome, Blackfan diamond syndrome, etc. Acquired aplastic anaemia (AAA)has relation Abstract
Curvature and Representation Learning: Identifying Embedding Spaces for Relational Data

We consider the problem of learning representations of relational data in spaces of constant sectional curvature, i.e., Euclidean, Hyperbolic, and Spherical space. In this context, we explore how to identify a suitable embedding curvature for a given relational dataset. For this task, we investigate the use of a scalable heuristic based on local graph neighborhoods and evaluate it on classic benchmark graphs
Key Factors Affecting E-Health Adoption among Young Adultsin Malaysia

Introduction: The technological advancement has changed the way people live their life such as communication, travel, learning and shopping. The health sector was also influenced by the technological changes. Objectives: The objective of this study is to develop a model on consumer adoption on electronic health (e-health) in Malaysia. Methods: Extending the Technology Acceptance Model (TAM) with Personal Innovativeness in IT and Social Influence. This paper presents the conceptual foundation on the adoption of e-health among young adults in Malaysia.
FILTER FEATURE SELECTION ANALYSIS TO DETERMINE THE CHARACTERISTICS OF DEMENTIA

Freesurfer Dementias are known as neuropsychiatric disorders. Two-dimensional sliced brain scans can be generated via magnetic resonance imaging. Three-dimensional measurements of regions can be reached from those scans. Numerical brain features can be extracted through operating the Freesurfer tool. Parametrizing those features and demographic information in learning algorithms can label an unknown sample as healthy or dementia. On the other hand, some of the features in the initial set may be less practical than others. In this research, the aim is to decrease the input feature-count, a total of 2939 attributes, as a first step to determine the most distinctive dementia characteristics. To that end, a total of 2264 ADNI dataset samples (471 AD, 428 lMCI, 669 eMCI, 696 healthy controls) are divided into two sets: 65% training set (1464 samples) and 35% test set (800 samples). Various filter feature selection algorithms (Information Gain, Gain Ratio, Symmetrical Uncertainty, Pearson’s Correlation, Correlation-based Feature Subset Selection) are tested over different parameters together with multiple Bayesian-based and tree-based classifiers. Test performance accuracy rates up to 76.50% are analyzed in detail. Instead of processing the whole feature set, the overall performance tends to increase with correctly fewer attributes taken.
A robust cellular manufacturing system design for dynamic part population using a genetic algorithm

As changing conditions prevail in the manufacturing environment, the design of cellular manufacturing systems, which involves the formation of part families and machine cells, is difficult. This is due to the fact that the machines need to be relocated as per the requirements if adaptive designs are used. This paper presents a new approach (robust design) for forming part families and machine cells, which can handle all the changes in demands and product mixes without any relocations. This method suggests fixed machine cells for the dynamic nature of the production environment by considering a multi-period forecast of product mix and demand. A genetic algorithm based solution procedure is adopted to solve the problem. The results thus obtained were compared with the adaptive design proposed by Wicks and Reasor (1999). It is found that the robust design performs better than the adaptive design for the problems attempted.
A ) Management & Competition : Levels Figure 7 : Management and Competition B ) Management & Competition : Changes

Are some management practices akin to a technology that can explain firm and national productivity, or do they simply reflect contingent management styles? We collect data on core management practices from over 11,000 firms in 34 countries. We find large cross-country differences in the adoption of management practices, with the US having the highest size-weighted average management score. We present a formal model of “Management as a Technology”, and structurally estimate it using panel data to recover parameters including the depreciation rate and adjustment costs of managerial capital (both found to be larger than for tangible non-managerial capital). Our model also predicts (i) a positive impact of management on firm performance; (ii) a positive relationship between product market competition and average management quality (part of which stems from the larger covariance between management with firm size as competition strengthens); and (iii) a rise in the level and a fall in the dispersion of management with firm age. We find strong empirical support for all of these predictions in our data. Finally, building on our model, we find that differences in management practices account for about 30% of total factor productivity differences both between countries and within countries across firms. JEL No. L2, M2, O32, O33.
Searching for the Common Suprathermal Power Law Tail in Parker Solar Probe's ISOIS Data

Results from the Advanced Composition Explorer (ACE) and the Ulysses spacecraft suggested the existence of a pervasive power-law spectrum of suprathermal ions in the solar wind with a spectral index of ́ 32 . This distribution is of particular interest to humanity because the suprathermal ions it describes can serve as the seed population for large, destructive events that can harm groundand air-based equipment. It has been suggested that various statistical mechanisms can produce the observed spectrum, however the underlying physical phenomena are not yet known. The spectrum of suprathermal ions is relatively unstudied closer to the Sun than 1 au. I investigate the first year and a half of Parker Solar Probe’s data to find evidence of this spectrum in this previously unstudied region. I find weak evidence to suggest the existence of a common spectrum of protons from 60 to 200 keV inside the region being studied. Naive fits to all of the events fail to produce the expected ́ 32 , yet some relationship between magnetic turbulence and spectral index is found, as is an apparent relationship between radial distance and spectral index, suggesting some type of asymptotic approach to index ́ 32 as radial distance increases. Additionally, my results are not incompatible with recent adaptations to some statistical models that yield softer spectra. Further work is required to uncover the phenomena in this region that determine the shape of the solar wind spectrum.
Comparison of caudal bupivacaine and bupivacaine- tramadol combination for postoperative analgesia in children undergoing lower abdominal surgeries

Background & objectives: Postoperative pain needs to be relieved with minimum side-effects and as cheaply as possible. A combination of drugs may be the best way to treat postoperative pain. Caudal block has been conveniently used by the anesthesiologists in pediatric surgery for this purpose. This study compared the use of bupivacaine alone with bupivacaine plus tramadol for a single shot caudal block to find out whether tramadol can be an effective adjuvant to bupivacaine for providing better postoperative analgesia in children undergoing lower abdominal surgery. Methodology: This randomized controlled trial was conducted at Department of Anesthesiology, Shifa International Hospital, Islamabad, for six months. A total of 150 children undergoing lower abdominal surgery were randomly allocated into two groups using a lottery method; 75 children in Group B were treated with bupivacainewith tramadol, and 75 patients in Group A were treated with bupivacaine only. A caudal epidural block was performed immediately after induction of anesthesia. Study outcomes were monitored in terms of duration of analgesia using TPPPS pain score. Results: The average age of the patients was 5.14�2.76 years. Mean duration of analgesia was significantly high in group B (Bupivacaine with Tramadol) was compare to group A (Bupivacaine) [7.37+1.96 vs. 11.12+1.86 hours; p=0.0005]. Conclusion: We conclude that Tramadol 2 mg/kg when administered caudally with bupivacaine provided prolonged analgesia and its use was safe in children.
Bilateral features of the EMG patterns during walking in young and elderly people : preliminary study

Neuroscientists have been testing the hypothesis that few muscle synergies manage the many degrees of freedom of the musculoskeletal system. Since ageing involves several modifications during locomotion, the authors hypothesized that muscle synergies in elderly people may provide outcomes concerning age-related muscle activation strategy. This work was aimed at highlighting the strategy yielding the bilateral muscle activations in young and elderly people, during walking at six different cadences (40, 60, 80, 100, 120 and 140 steps per minute). Five young and five elderly healthy men were involved in the experiments. EMG data regarding six bilaterlal pairs of muscles (Tibialis Anterior, Gastrocnemius Lateralis, Vastus Medialis, Rectus Femoris, Biceps Femoris, Soleus) were processed by Factor Analysis in order to extract primitive signals. Results showed that, although the counterparts had similar behaviour, ageing involved a more symmetrical distribution of the muscle activations on the primitive signals. Moreover, first and second factors were respectively loaded by plantar flexors and knee extensors in all the young and three elderly subjects whereas, two seniors were characterized by the opposite features. These findings may be in agreement with the age-related neuromuscular adaptation involving the change of the roles among the leg extensors during locomotion. Furthermore, the cognitive goal of the walking task, consisting in keeping the right cadence, may have required greater efforts in elderly people to modify their strategy during locomotion.
Pragmatic factors can explain variation in interpretation preferences for quantiﬁer-negation utterances: A computational approach

Traditional investigations of quantiﬁer-negation scope ambiguity (e.g., Everyone didn’t go , meaning that no one went or not everyone went ) have focused on universal quantiﬁers, and how ambiguity in interpretation preferences is due to the logical operators themselves and the syntactic relation between those operators. We investigate a broader range of quantiﬁers in combination with negation, observing differences in interpretation preferences both across quantiﬁers and also within the same quantiﬁer (conﬁrmed by corpus analysis). To explain this variation, we extend a computational cognitive model that incorporates pragmatic context-related factors, and which previously accounted for every -negation, to predict human interpretation preferences also for some and no . We evaluate the model’s predictions against human judgments for quantiﬁer-negation utterances, ﬁnding a strong qualitative and quantitative match when the listener has particular expectations about the world in which the utterance occurs. These results suggest that pragmatic factors can explain variation in interpretation preferences.
Power frequency magnetic fields and computer VDU interference phenomena

The interference by ambient 50 Hz magnetic fields on computer monitors or VDUs is an issue which has become prominent in recent times due to the widespread use of personal computers. Various options exist to resolve the interference problem by dealing either with the VDU or with the magnetic field sources including the selection of suitable locations or types of monitor, shielding or modification of equipment. For new installations, appropriate design and installation practices adopted at the outset can reduce or eliminate subsequent costly modifications.
Preparing Preservice Teachers to be Agents of Social Justice: Examining the Effectiveness of Using Literature Circles in a Reading Methods Course

This study, rooted in the evaluation of a reading methods course, sought to determine the implications for preservice teachers (PSTs) who participated in literature circles that intentionally used multicultural literature to discuss social justice issues. Using an interpretative mixed-methods approach, we collected quantitative surveys and conducted individual interviews to determine the participants’ perception of the effects that the implementation method (literature circles) and the curriculum content (multicultural texts) had on their knowledge and professional efficacy. The findings of this study suggest that the course, with an embedded literature circle component, is an essential aspect of the broader teacher development program. Encouraging social activism, promoting recreational reading, and improving PSTs’ ability to facilitate literary discussions around issues of social justice increases their confidence and personal efficacy. Further longitudinal research should be conducted to determine the direct effects this would have on their ability to create change agents in their future classrooms.
Results of computer modeling of a modular independent tubular suspension of a logging truck

The necessity of increasing the efficiency of timber trucks by improving the designs of their suspensions has been substantiated. The main disadvantages of traditional suspension structures used in modern logging trucks have been described. A promising design of a modular independent tubular torsion bar suspension for a logging truck has been proposed. The aim of the research consisted of two stages. At the first stage, a mathematical model for the functioning of the proposed torsion bar suspension has been developed. At the second stage, a computer program for a preliminary assessment of the effectiveness of the functioning of this suspension (when driving on an insufficiently equipped forest road) has been made. Time dependences of the angular positions of suspension arm fork and ends of the tubular torsion bars were obtained. The regularities of the influence of the movement speed, average height of irregularities, coefficient of dry friction on the relative spread of vertical loads and suspension indicators of vibration dispersions were revealed.
Generative Facial Prior for Large-Factor Blind Face Super-Resolution

Most existing face super-resolution (SR) methods are developed based on an assumption that the degradation is fixed and known (e.g., bicubic down sampling). However, these methods suffer a severe performance drop in various unknown degradations in real-world applications. Previous methods usually rely on facial priors, such as facial geometry prior or reference prior, to restore realistic face details. Nevertheless, low-quality inputs cannot provide accurate geometric priors while high-quality references are often unavailable, which limits the use of face super-resolution in real-world scenes. In this work, we propose GPLSR which used the rich priors encapsulated in the pre-trained face GAN network to perform blind face super-resolution. This generative facial priori is introduced into the face super-resolution process through channel squeeze-and-excitation spatial feature transformation layer (SE-SFT), which makes our method achieve a good balance between realness and fidelity. Moreover, GPLSR can restores facial details with single forward pass because of powerful generative facial prior information. Extensive experiment shows that when the magnification factor is 16, this method achieves better performance than existing techniques in both synthetic and real datasets.
Method of fragment based tracking of displacement of a large areal object in images

Automation of technological processes using computer vision systems necessitates fragment based tracking of the displacement of a large areal object in images. Examples of such processes are monitoring mooring operations, loading and unloading operations, analyzing the environment from the vessel’s bridge, and tracking berthing. These processes are cyclical in the maritime transport industry and thus require methods for automatic data analysis in 24×7 mode. The paper proposes a method of fragment based tracking of the displacement of a large areal object in images in real time. The algorithm that underlies the method enables tracking the object fragment using convolution of pixel matrices and ensures data processing by frequency methods, including computational operations using Fourier images. The developed method is applicable for real-time tracking the object in images, even when it can be hardly distinguished from the background. The method of tracking the displacement of a large areal object proposed in the study can be used in software and hardware meters for longitudinal and vertical displacement, which are used in the maritime transport industry.
Research on Real-Time System and Related Graph Task Model

Generally speaking, real-time system is considered to be able to influence the environment by receiving and processing data, and returning calculation results rapid enough, so as to control the environment. In computer science, real-time system describes the software and hardware system affected by time constraints, and its correctness relies on the logical correctness of the function and the time when the result is generated. According to the main characteristics of real-time operating system, such as time constraint, predictability and reliability, it puts forward higher requirements for the time accuracy and reliability of real-time operating system. This paper first introduces the real-time system from its main characteristics, related concepts and scheduling algorithm. Then five classical graph based task models of real-time system are introduced. Finally, this paper introduces the directed graph realtime task model from two aspects of definition and semantics. As an extension of realtime system task model, directed graph real-time task model is considered to be able to provide real-time systems with stronger expressive power and support the formal study of time constraint problems.
Approaches for the Advancement of Business Processes in a Company that Deals with Graphic Production

The aim of the research in this paper is the determination of the existing business processes in a company that deals with graphic activity with the possibility of their improvement by applying the TQM (Total Quality Management) methodology, which is closely linked to the financial performance of the company and the satisfaction of all interested sides. In the survey we did there are several main reasons that cause problems in the printing facility and the request of the top management for improving the processes and involvement of competent persons in them is of great importance for the printing company to become world-class. During the research, which was an integral part of the TQM methodology several management methods were applied: check list, Pareto diagram, Ishikawa access and benchmarking strategy. Analysis of the current state allowed making of suggestions for improvement through the application of TQM methodology. The methodology of the TQM philosophy is continuous improvement of all processes in the organization through small changes in short periods of time including all organizational members regardless of their hierarchical level without making large capital investments.
Promising introduced Black Cottonwood species for bioenergy and forage production

The winter-hardy introduced North American Populus trichocarpa Torr. & Gray is of particular interest. The results of the study of some clones of poplar on the experimental sites of the Voronezh region are presented. It was found that the rootability of standard stem cuttings of poplar was 98-100%. The survival of plants during the first 3-5 years varied from 75 to 100%. The growing season in different years was 135-146 days. The yield of standard cuttings on root-cutting plantations under favorable conditions and optimal age varied in different clones from 592 000 to 1 380 000 pieces per ha. The wood stock at the age of economical exploitability (~25 years) reached 400 m3/ha, while the stock of local balsam poplar at the same age reached 220 m3/ha. The green mass of leaves contained 0.22-0.28 feed units/kg. In addition, the content of digestible protein, calcium, phosphorus, carotene, crude protein, crude fat, crude fiber, nitrogen-free extractives and ash was determined. In general, studied clones of P. trichocarpa can be used in short rotation coppices for bioenergy and feed production, as well as in reclamation plantings. Clones of the poplar can be used in hybridization with black poplars to increase their winter hardiness.