Miracle-dz/UniFAR-FTUs huggingface dataset:
Is an Online Learning Module an Effective Way to Develop Information Literacy Skills

Information literacy is an integral generic skill or graduate attribute in higher education, with many higher education institutions developing information literacy policies and including information literacy in graduate attribute policies. Barrie (2007) notes that universities around the world are increasingly concerned with ensuring that their students develop attributes which will better equip them for the world of work. This paper focuses on online learning and its effectiveness in developing graduate attribute skills, particularly information literacy skills. The project outlined in this paper revealed that students who completed an online information literacy tutorial gained an understanding of information literacy concepts and that the flexible, self-paced delivery of this module was an effective way for students to develop information literacy skills.
Presbyvestibulopathy: Diagnostic criteria Consensus document of the classification committee of the Bárány Society

This paper describes the diagnostic criteria for presbyvestibulopathy (PVP) by the Classification Committee of the Bárány Society. PVP is defined as a chronic vestibular syndrome characterized by unsteadiness, gait disturbance, and/or recurrent falls in the presence of mild bilateral vestibular deficits, with findings on laboratory tests that are between normal values and thresholds established for bilateral vestibulopathy. The diagnosis of PVP is based on the patient history, bedside examination and laboratory evaluation. The diagnosis of PVP requires bilaterally reduced function of the vestibulo-ocular reflex (VOR). This can be diagnosed for the high frequency range of the VOR with the video-HIT (vHIT); for the middle frequency range with rotary chair testing; and for the low frequency range with caloric testing. For the diagnosis of PVP, the horizontal angular VOR gain on both sides should be < 0.8 and > 0.6, and/or the sum of the maximal peak velocities of the slow phase caloric-induced nystagmus for stimulation with warm and cold water on each side should be < 25°/s and > 6°/s, and/or the horizontal angular VOR gain should be > 0.1 and < 0.3 upon sinusoidal stimulation on a rotatory chair. PVP typically occurs along with other age-related deficits of vision, proprioception, and/or cortical, cerebellar and extrapyramidal function which also contribute and might even be required for the manifestation of the symptoms of unsteadiness, gait disturbance, and falls. These criteria simply consider the presence of these symptoms, along with documented impairment of vestibular function, in older adults.
Toward a Theory of Geometric Tolerancing

Manual drafting is rapidly being replaced by modern, computerized systems for defining the geometry of mechanical parts and assemblies, and a new generation of powerful systems, called geometric (solid) modeling systems (GMSs), is entering industrial use. Solid models are beginning to play an important role in off-line robot programming, model- driven vision, and other industrial robotic applications. A major deficiency of current GMSs is their lack of facilities for specifying tolerancing information, which is essential for design analysis, process planning, assembly planning for tightly toleranced components, and other applications of solid modeling. This paper proposes a mathe matical theory of tolerancing that formalizes and generalizes current practices and is a suitable basis for incorporating tolerances into GMSs. A tolerance specification in the proposed theory is a collection ofgeometric constraints on an object's surface features, which are two-dimensional subsets of the object's boundary. An object is in tolerance if its surface features lie within tolerance zones, which are regions of space constructed by offsetting (expanding or shrinking) the object's nominal boundaries.
Biomarkers of Systemic Inflammation in Ugandan Infants and Children Hospitalized With Respiratory Syncytial Virus Infection.

BACKGROUND Optimizing outcomes in respiratory syncytial virus (RSV) pneumonia requires accurate diagnosis and determination of severity that, in resource-limited settings, is often based on clinical assessment alone. We describe host inflammatory biomarkers and clinical outcomes among children hospitalized with RSV lower respiratory tract infection (LRTI) in Uganda and controls with rhinovirus and pneumococcal pneumonia. METHODS 58 children hospitalized with LRTI were included. We compared 37 patients with RSV, 10 control patients with rhinovirus and 11 control patients with suspected pneumococcal pneumonia. RESULTS Patients in the RSV group had significantly lower levels of C-reactive protein (CRP) and chitinase-3-like protein 1 (CHI3L1) than the pneumococcal pneumonia group (P < 0.05 for both). Among children with RSV, higher admission levels of CRP predicted prolonged time to resolution of tachypnea, tachycardia and fever. Higher levels of CHI3L1 were associated with higher composite clinical severity scores and predicted prolonged time to resolution of tachypnea and tachycardia, time to wean oxygen and time to sit. Higher levels of lipocalin-2 (LCN2) predicted prolonged time to resolution of tachypnea, tachycardia and time to feed. Higher admission levels of all 3 biomarkers were predictive of a higher total volume of oxygen administered during hospitalization (P < 0.05 for all comparisons). Of note, CHI3L1 and LCN2 appeared to predict clinical outcomes more accurately than CRP, the inflammatory biomarker most widely used in clinical practice. CONCLUSIONS Our findings suggest that CHI3L1 and LCN2 may be clinically informative biomarkers in childhood RSV LRTI in low-resource settings.
Real-Time Hand Gesture Recognition Based on the Depth Map for Human Robot Interaction

In this paper, we propose and implement a novel and real-time method for recognizing hand gestures using depth map. The depth map contains information relating to the distance of objects from a viewpoint. Microsoft’s Kinect sensor is used as input device to capture both the color image and its corresponding depth map. We first detect bare hand in cluttered background using distinct gray-level of the hand which is located near to the sensor. Then, scale invariance feature transform (SIFT) algorithm is used to extract feature vectors. Lastly, vocabulary tree along with K-means clustering method are used to partition the hand postures to ten simple sets as: "one", "two", "three", "four", "five", "six", "seven", "eight", "nine" and "ten" numbers based on the number of extended fingers. The vocabulary tree allows a larger and more discriminatory vocabulary to be used efficiently. Consequently, it leads to an improvement in accuracy of the clustering. The experimental results show superiority of the proposed method over other available approaches. With this approach, we are able to recognize 'numbers' gestures with over 90% accuracy. DOI: http://dx.doi. org/10.11591/ijece.v3i6. 3954
Career Calling and Job Satisfaction in Army Officers: A Multiple Mediating Model Analysis

This study focuses on the relationships of career calling to job satisfaction in army officers. The direct and indirect (via meaning in life and meaning in work) effects of career calling on job satisfaction were investigated in 355 male army officers in China. For this purpose, structural equation modeling and bootstrap method were used. Results of confirmatory factor analysis verified the latent structures of meaning in work and job satisfaction. Structural equation modeling and χ2 test indicated meaning in work and presence meaning in life partially mediated the association between career calling and job satisfaction. The bootstrap method also revealed a significant indirect path from career calling to job satisfaction through them. These findings extend previous studies and shed light on promoting job satisfaction from a positive and meaningful perspective through the effect of adaptive career calling.
Minimising total weighted earliness and tardiness on parallel machines using a hybrid heuristic

Scheduling jobs with different processing times and distinct known due dates on parallel machines (which may be idle) so as to minimise the total weighted earliness and tardiness is NP-hard. It occurs frequently in industrial settings with a just-in-time production environment. Here, small instances of this problem are tackled via an exact mixed-integer program, whereas larger instances are approximately solved using hybrid algorithms. The computational investigation discerns what makes a difficult instance, and demonstrates the efficiency of the approach.
Single Cells Exhibit Differing Behavioral Phases during Early Stages of Pseudomonas aeruginosa Swarming

Numerous bacteria exhibit coordinated swarming motion over surfaces. It is often challenging to assess the behavior of single cells within swarming communities due to the limitations of identifying, tracking, and analyzing the traits of swarming cells over time. Here, we show that the behavior of Pseudomonas aeruginosa swarming cells can vary substantially in the earliest phases of swarming. This is important to establish that dynamic behaviors should not be assumed to be constant over long periods when predicting and simulating the actions of swarming bacteria. ABSTRACT Pseudomonas aeruginosa is among the many bacteria that swarm, where groups of cells coordinate to move over surfaces. It has been challenging to determine the behavior of single cells within these high-cell-density swarms. To track individual cells within P. aeruginosa swarms, we imaged a fluorescently labeled subset of the larger population. Single cells at the advancing swarm edge varied in their motility dynamics as a function of time. From these data, we delineated four phases of early swarming prior to the formation of the tendril fractals characteristic of P. aeruginosa swarming by collectively considering both micro- and macroscale data. We determined that the period of greatest single-cell motility does not coincide with the period of greatest collective swarm expansion. We also noted that flagellar, rhamnolipid, and type IV pilus motility mutants exhibit substantially less single-cell motility than the wild type. IMPORTANCE Numerous bacteria exhibit coordinated swarming motion over surfaces. It is often challenging to assess the behavior of single cells within swarming communities due to the limitations of identifying, tracking, and analyzing the traits of swarming cells over time. Here, we show that the behavior of Pseudomonas aeruginosa swarming cells can vary substantially in the earliest phases of swarming. This is important to establish that dynamic behaviors should not be assumed to be constant over long periods when predicting and simulating the actions of swarming bacteria.
Estimating Parameters from Samples: Shuttling between Spheres

In order to better understand the thinking of students' learning to make informal statistical inferences, this research examined the thinking of senior secondary school students (age 17) engaged in the task of using observed data to make point estimates of a population parameter within a computer-based simulation. Following the ``Growing Samples" instructional model, the point estimation activity involved sampling and estimating across three tasks with different sample sizes. This research study aimed to trace the evolution of the students' thinking, with particular attention to use of the statistical concepts in making informal inferences from sampling. The students in this study were observed to rely primarily on mathematical thinking, which, perhaps, inhibited their ability to construct meanings about the basic statistical concepts underpinning sampling when performing point estimates. At times in the process students were seen to shift between mathematical thinking, statistical thinking, and thinking about the context, but the mathematical thinking seemed to dominate their attempts to create estimates. These research findings are useful for informing the teaching of point estimation of a population parameter to school-aged students. The research findings also stress the need for teachers to rethink the relationship between statistical thinking and mathematical thinking in order to promote statistical thinking in relevant learning situations for their students.
Intrinsic GTPase activity of K-RAS monitored by native mass spectrometry.

Mutations in RAS are associated with many different cancers and have been a therapeutic target for more than three decades. RAS cycles from an active to inactive state by both intrinsic and GTPase-activating protein (GAP) stimulated hydrolysis. The activated enzyme interacts with downstream effectors leading to tumor proliferation. Mutations in RAS associated with cancer are GAP insensitive and the rate of inactivation is limited to their intrinsic hydrolysis rate. Here, we use high-resolution native mass spectrometry (MS) to determine the kinetics and transition state thermodynamics of intrinsic hydrolysis for K-RAS and oncogenic mutants. MS data reveal heterogeneity where both 2'-deoxy and 2'-hydroxy forms of GDP (Guanosine diphosphate) and GTP (Guanosine triphosphate) are bound to the recombinant enzyme. Intrinsic GTPase activity is directly monitored by the loss in mass of K-RAS bound to GTP, which corresponds to the release of phosphate. The rates determined from MS are in direct agreement from those measured using an established solution-based assay. Our results show that the transition state thermodynamics for the intrinsic GTPase activity of K-RAS is both enthalpically and entropically unfavorable. The oncogenic mutants, G12C, Q61H and G13D unexpectedly exhibit a higher 2'-deoxy GTP intrinsic hydrolysis rate compared to that for GTP.
Cognition and Understanding of Neuropathy of Inpatients Admitted to a Specialized Tertiary Diabetic Foot Unit With Diabetes-Related Foot Ulcers

This study investigated cognitive functioning and understanding of peripheral neuropathy in a cohort of individuals with diabetes-related foot ulcers requiring hospitalization. The aim was to examine the association between cognition, understanding of peripheral neuropathy, and diabetic health variables. Thirty inpatients referred to the Diabetic Foot Unit Clinical Psychology service, at the Royal Melbourne hospital, were assessed using the Montreal Cognitive Assessment (MoCA) and the Patient Interpretation of Neuropathy (PIN) questionnaire. Relevant demographic and medical information was collected. In this predominantly middle-aged, male cohort, the average MoCA score (22.37, SD = 3.65) fell below the general population age-matched mean, and a quarter of the MoCA patient scores were consistent with those seen in early dementia samples (<20). There appeared to be several misperceptions regarding peripheral neuropathy, less accurate attributions of blame to self or practitioners, and more accurate attributions of control of ulcer management to practitioners. Correlation analysis indicated that individuals with stronger MoCA scores tended to provide more accurate answers on the Acute Foot Ulcer Onset PIN scale. Individuals with diabetes-related foot ulcers requiring hospitalization demonstrate reduced cognitive functioning and this may affect their understanding of peripheral neuropathy, particularly information regarding foot ulcer onset. Routine screening of cognitive functioning in this cohort may be useful so that health education and care management can be adjusted according to individual patients’ cognitive capabilities.
Human Identification Based on Electrocardiogram and Palmprint

In this paper, a new approach in human identification is investigated. For this purpose, we fused ECG and Palm print biometrics to achieve a multimodal biometric system. In the proposed system for fusing biometrics, we used MFCC approach in order to extract features of ECG biometric and PCA to extract features of Palm print. The features undergo a KNN classification. The performance of the algorithm is evaluated against the standard MIT-BIH and POLYU databases. Moreover, in order to achieve more realistic and reliable results, we gathered Holter ECG recordings acquired from 50 male and female subjects in age between 18 and 54. The numerical results indicated that the algorithm achieved 94.7% of the detection rate. DOI: http://dx.doi. org/10.11591/ijece.v2i2. 292
Use of ICT among Faculty Members of Self Financing Engineering Colleges in the Changing Higher Education Environment

In recent years, the Internet has emerged as a powerful educational and information tool. With the increasing impact of information technology on higher education, all those concerned with higher education today are attempting to grasp how information technology could help in modernizing the process of teaching, research, and learning. In this context, Internet has emerged as a formidable social and cultural institution of global proportions facilitating access to a wealth of information on the web for the academic society to support their academic and research activities. The study is aimed at analyzing the Internet use and its impact among the faculty members of self financing engineering colleges of Salem district. The growing Internet and emerging network technologies have been revolutionizing society by making information available to the people in a new way. Use of Internet is increasing day by day as it is time saving, more informative and less expensive. Results of the present study show that 2-3 hours of access to Internet is quite common among the civil and mechanical engineering faculties. Study reveals that civil engineering faculty respondents take the first position with respect to their overall purpose of gathering e-resources, mechanical engineering faculty respondents the second, electrical engineering faculty the third, computer science engineering faculty the fourth and chemical engineering faculty the last.
Predicting neighborhoods’ socioeconomic attributes using restaurant data

Significance High-resolution socioeconomic data are crucial for place-based policy design and implementation, but it remains scarce for many developing cities and countries. We show that an easily accessible and timely updated neighborhood attribute, restaurant, when combined with machine-learning models, can be used to effectively predict a range of socioeconomic attributes. This approach allows us to collect training samples from representative neighborhoods and then use our trained model to infer unsampled neighborhoods in the city in a granular, timely, and low-cost manner. The good cross-city transferability performance of our model can also help bridge the “data gap” between cities, by training the model in cities with rich survey data and then applying it to cities where such data are unavailable. Accessing high-resolution, timely socioeconomic data such as data on population, employment, and enterprise activity at the neighborhood level is critical for social scientists and policy makers to design and implement location-based policies. However, in many developing countries or cities, reliable local-scale socioeconomic data remain scarce. Here, we show an easily accessible and timely updated location attribute—restaurant—can be used to accurately predict a range of socioeconomic attributes of urban neighborhoods. We merge restaurant data from an online platform with 3 microdatasets for 9 Chinese cities. Using features extracted from restaurants, we train machine-learning models to estimate daytime and nighttime population, number of firms, and consumption level at various spatial resolutions. The trained model can explain 90 to 95% of the variation of those attributes across neighborhoods in the test dataset. We analyze the tradeoff between accuracy, spatial resolution, and number of training samples, as well as the heterogeneity of the predicted results across different spatial locations, demographics, and firm industries. Finally, we demonstrate the cross-city generality of this method by training the model in one city and then applying it directly to other cities. The transferability of this restaurant model can help bridge data gaps between cities, allowing all cities to enjoy big data and algorithm dividends.
Minimum 5-Year Outcomes of Arthroscopic Hip Labral Reconstruction With Nested Matched-Pair Benchmarking Against a Labral Repair Control Group

Background: Labral reconstruction has demonstrated short-term benefit for the treatment of irreparable labral tears. Nonetheless, there is a scarcity of evidence for midterm outcomes of this treatment. Hypotheses: Arthroscopic segmental reconstruction in the setting of irreparable labral tears would show improvement in patient-reported outcomes (PROs) and high patient satisfaction at minimum 5-year follow-up. Second, primary labral reconstruction (PLRECON) would result in similar improvement in PROs at minimum 5-year follow-up when compared with a matched-pair primary labral repair (PLREPAIR) control group. Study Design: Cohort study; Level of evidence, 3. Methods: Data from February 2008 to April 2013 were retrospectively reviewed. Patients were included if they underwent hip arthroscopy for segmental labral reconstruction in the setting of irreparable labral tear and femoroacetabular impingement, with minimum 5-year follow-up for modified Harris Hip Score, Nonarthritic Hip Score, Hip Outcome Score–Sports Specific Subscale, patient satisfaction, and visual analog scale for pain. Exclusion criteria were Tönnis osteoarthritis grade >1, prior hip conditions, or workers’ compensation claims. PLRECON cases were matched in a 1:3 ratio to a PLREPAIR control group based on age ±5 years, sex, and body mass index ±5 kg/m2. Results: Twenty-eight patients were eligible for the study, of which 23 (82.14%) had minimum 5-year follow-up. The authors found significant improvement from preoperative to latest follow-up in all outcome measures recorded: 17.8-point increase in modified Harris Hip Score (P = .002), 22-point increase in Nonarthritic Hip Score (P < .001), 25.4-point increase in Hip Outcome Score–Sports Specific Subscale (P = .003), and a 2.9-point decrease in visual analog scale pain ratings (P < .001). Mean patient satisfaction was 7.1 out of 10. In the nested matched-pair analysis, 17 patients who underwent PLRECON were matched to a control group of 51 patients who underwent PLREPAIR. PLRECON demonstrated comparable survivorship and comparable improvements in all PROs with the exception of patient satisfaction (6.7 vs 8.5, P = .04). Conclusion: Hip arthroscopy with segmental labral reconstruction resulted in significant improvement in PROs at minimum 5-year follow-up. PLRECON reached comparable functional outcomes when compared with a benchmark PLREPAIR control group but demonstrated lower patient satisfaction at latest follow-up.
A Grammar of Lezgian

English, abstract: According to Kremer (1997: 30), reference to people is mostly made by using full, lexical noun phrases, proper names and pronouns. With regard to linguistic gender, nouns and pronouns are closely related. In fact, Greenberg’s implicational universal No. 43 is: ́If a language has gender categories in the noun, it has gender categories in the pronoun` (1966:96). Pronouns, which are always mentioned as one of the traditional word classes, represent a very heterogeneous collection of `closed-class words with nominal function` (Quirk et al. 1985:335). The Lezgian is spoken by about 400,000 people in southern Daghestan and northern Azerbaijan in the eastern Caucasus. Lezgian has been written since 1928, first in the Latin alphabet, from 1938 onward in the Cyrillic alphabet. The grammar, which I used describes the standard language, which is based on the lowland Güne dialect. Lezgian is a member of the Lezgic branch of the Nakho-Daghestanian family of languages. The family tree of Nakho-Daghestanian is shown in (1) (following Hewitt 1981 a:197).