Miracle-dz/UniFAR-FTUs huggingface dataset:
Adjusted Nelson–Aalen Estimates With Retrospective Matching

In certain situations, randomized trials are not possible, but formal comparison of survival in two or more groups is still desirable. Although no substitute for randomization, application of the matched case-control design to survival studies may minimize the potential bias. Comparable estimates for each treatment group can be obtained by matching or stratifying according to prognostic variables, and weighting each individual to make stratum distributions the same over the treatment groups. Here we develop a weighted Nelson–Aalen estimator and a corresponding survival estimator. When data are closely matched, the stratum effects should be considered as random, leading to additional variance components, and standard asymptotic results do not apply. We derive a variance estimator and show that, asymptotically, the estimator converges to a Gaussian process. Simulations show that the asymptotic results are a good approximation in moderate-sized samples. It should be noted that ignoring the heterogeneity will lead to underestimation of the variance. An application is presented in a clinical study where data on patients receiving standard treatments are obtained for comparison with patients receiving a novel treatment, with retrospective matching to obtain comparable estimates.
STATIC STRUCTURE FACTOR OF HARD-SPHERE YUKAWA SYSTEMS

We have applied the Singwi, Tosi, Land and Sjolander approximation for the two-particle distribution function in the BBGKY hierarchy equations to investigate the properties of the hard-sphere Yukawa systems. The static structure factor and the radial distribution function are evaluated and compared with other approximations of the theory of liquids and computer simulations.
On the Effective Control of Torsional Vibrations in Drilling Systems

Abstract This paper analyses a control mechanism designed to significantly ameliorate the sustained excitation of torsional relaxation oscillations (slip–stick) due to frictional torques generated by an active bit during drilling operations with an extended drill-string. The proposed mechanism of torsional rectification is compared with existing soft-torque devices in a series of mathematical models. Both analytic and numerical simulations indicate that many of the volatilities suffered by existing soft-torque feedback approaches used to combat slip–stick can be eliminated by the alternative proposed here.
A Semantic Analysis of Universal and Idiosyncratic Features of Induced Motion Verbs: From the Perspective of Language Typology

This is a semantic study of causative movement verbs that have been organized into two main groups consisting of similar and contrasting features. This analysis contradicts Van Valin & LaPolla (1997) and other authors working within the Role and Reference Grammar theoretical framework such as Jolly (1991, 1993), who defends the view that causative movement verbs only respond to one Aktionsart type (that is, to one type of mode of action): causative accomplishment verbs. I demonstrate that there are also * This paper was funded through the research project ANGI2005/14 (CAR). I would like to acknowledge the merits of my colleague and friend Rubén Fernández Caro, “a man from the Middle Ages”. He gave me the passion for medieval literature and languages and helped me discover the fascinating world found in Tolkien’s stories and languages, and especially in Quenya. This paper could have never been written without such underlying motivation. 24 Semantic Analysis of Induced Motion Verbs causative active accomplishment movement verbs. This distinction is supported through the different locational expressions each take. Thus, the essential role that such expressions play in the lexical decomposition of movement verbs is discussed. Also, I offer a comparative analysis of these verbs in English and Quenya. The results allow for the identification of the universal semantic features of both types of verbs; they provide evidence for the usefulness of artificial languages not only in global and cross-cultural communication, but also in the contrastive syntactic and semantic analysis of natural languages. This study has followed the semantic approach of Componential Analysis, of which the different semantic classes of verbs reflect different syntactic and semantic argument structures. This explains the direct relation between the type of verb and the type of locative argument it takes.
HOW ENTREPRENEURS MANAGE COLLECTIVE UNCERTAINTIES IN THE INNOVATION ECOSYSTEM

This paper argues that an entrepreneurial innovation ecosystem may be described as a network of individual uncertainties (i.e. uncertainties that affect a specific actor) and collective uncertainties (i.e. uncertainties that affect a group of actors). We examine the role of entrepreneurs in managing and coping with individual and collective uncertainties at the ecosystem level in new markets through an inductive, longitudinal study of six entrepreneurial ecosystems. Our central contribution is a framework that describes how entrepreneurs may proactively manage collective uncertainties using two processes: bridging uncertainties and mitigating uncertainty propagation effects. We suggest that, if managed properly, uncertainty could become a value source and a competitive advantage for entrepreneurial firms and ecosystems. Overall, we develop a holistic view of uncertainty and adopt a subjective approach to offer insights into uncertainty management at the ecosystem level. Our paper contributes to the reinvigoration of the study of uncertainty and strategic management in new firms.
EXAMINING ACADEMIC STRESS AMONG CO-ASSISTANT NURSING STUDENTS USING THE MODIFIED PERCEPTION OF ACADEMIC STRESS SCALE

Introduction: Co-assistant nursing students have experienced academic stress due to the changing mode of learning to online learning from 2020 until now. There is an urgent need study to measure academic stress experienced using a tailored and valid instrument. The purpose of this study was to test the construct validity and reliability on the modified perception of academic stress scale (PAS) and examine the components and indicators that could build academic stress variables. Method: This study is an instrument development study. There were 339 co-assistant nursing students in the 2 nd semester from a private college in Yogyakarta, Indonesia, as respondents. obtained by consecutive sampling technique. The psychometric testing of the modified PAS academic stress scale attempts to determine the instrument's internal and external validity and reliability for use with co-assistant nursing students. Internal validity was determined by two methods in this study: by examining corrected item-total correlation and by performing exploratory factor analysis (EFA) on each produced item. The instrument's external validity was determined by administering it to two specialists in mental nursing and nursing education. Results: The developed instrument has internal consistency reliability of 0.818 (Cronbach’s alpha), there was evidence for content validity, and factor analysis resulted in five correlated and theoretically meaningful factors. Based on this instrument, most students experience moderate academic stress during their learning at the professional program phase. Conclusions : The instrument used in this study is tailored, valid and trustworthy for measuring academic stress of co-assistant nursing students during Covid-19 pandemic. The scale could be useful in measuring academic stress in this online era.
Gender divide in librarianship: past, present, and future

Librarianship in the 20th century was a profession defined by a gender divide in which females performed lower service functions while a minority of males dominated higher status management positions. This paper reviews the history and effects of this gender divide and the role of professional discourse in helping to bridge it. Further analysis of current professional trends in library and information science (LIS) reveals a new pattern of dual career tracking based on gender, with implications for the formation of a new 21st-century gender divide unique to the field in which men are associated with technology and women with management. The paper concludes with recommendations for more research into the role of gender in the profession as it continues to evolve.
Evolution of Smart Home Energy Management System Using Internet of Things and Machine Learning Algorithms

The cost and demand of energy are increasing day by day, leading the domain to find new and smart ways to monitor, control, and save energy. In the smart city, smart energy management systems help to resolve the energy management problem. Smart energy management systems cut the cost of energy in smart houses or buildings with their recommendations and predictions. This paper proposed a 5-layer architecture for a Home Energy Management System (HEMS), which collects real-time data; analyzes the patterns from the data, and further feed the patterns into the recommendation system to generate recommendations to save energy. A massive amount of data is collected using different sensors in the proposed architecture. This architecture has different layers, all of which are dedicated to performing specific tasks accordingly. The different preprocessing and Machine Learning (ML) techniques like Simple Linear Regression (SLR), Decision Tree Regression (DTR), Random Forest Regression (RFR), K-Nearest Neighbor Regression (KNNR), and Support Vector Regression (SVR) are used for data analysis. This study finds that Decision Tree regression (0.9999) and Random Forest Regression (0.9999) achieved good scores compared to the Simple Linear Regression (0.9901), K-Nearest Neighbor (0.9720), and Support Vector Regression (0.9966). The values of Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) for SLR (0.9900 and 0.0099), DTR (0.0439 and 0.0019), RFR (0.0427 and 0.0018), KNNR (0.0285 and 0.1690) and SVR (0.1394 and 0.0194). Thus, this paper concludes that the decision tree and random forest regression are having high scores and less error in comparison to the other algorithms. These regression techniques for data analysis can be used for the recommendation of energy management using the proposed architecture.
Effect of feeding banana pseudostem silage supplemented with slow release nitrogen compound on the growth performance of osmanabadi kids

The present research was conducted to evaluate the effect of banana pseudostem silage supplemented with SRNP on the performance of Osmanabadi kids. Eighteen kids of about 4-6 months age, having an initial body weight of 10.62 ± 0.09 kg were divided into three groups (T-1, T-2, and T-3) of six animals each. The growth trial of 12 week duration was carried out. Each group was allocated to one of the following three dietary treatments in a completely randomized design Treatment 1 (T1-Control) comprised jowar stover with conventional concentrate mixture. Treatment 2 (T2) comprised 50% silage plus 50% Jowar stover with conventional concentrate mixture. Treatment 3 (T3) comprised 50% silage plus 50% Jowar stover and concentrate mixture containing only maize grain supplemented with SRNP (10 g). All the three diets were made iso-nitrogenous and the goats were fed as per requirement of NRC (1981). The average body weight gain and mean finishing body weight (kg) in T1 was significantly ( p< 0.01) higher than T2 and T3. The total dry matter intake observed was 487.38, 474.95 and 464.89 g/d in T1, T2 and T3 groups. T1 group had significantly higher ( p< 0.01) total dry matter intake followed by T2 and T3. The digestibility co-efficient of DM, OM, CF, NFE and ADF were found to be non-significant among groups while CP, EE and NDF were significant. T3 had significantly ( p< 0.01) higher CP, EE and NDF digestibility compared to T1 and T2 groups, while T1 and T2 groups found to be non-significant among themselves. Based on the observations, it can be concluded that there is a further scope of improving the banana utilization in the form of silage either by wilting to reduce the moisture content to 70% before ensiling or addition of any dry roughage and fermentable carbohydrates to obtain good quality silage DMI.
Are they Toeing the Line? Diagnosing Privacy Compliance Violations among Browser Extensions

Browser extensions have emerged as integrated characteristics in modern browsers, with the aim to boost the online browsing experience. Their advantageous position between a user and the Internet endows them with easy access to the user’s sensitive data, which has raised mounting privacy concerns from both legislators and extension users. In this work, we propose an end-to-end approach to automatically diagnosing the privacy compliance violations among extensions. It analyzes the compliance of privacy policy versus regulation requirements and their actual privacy-related practices during runtime. This approach can serve the extension users, developers and store operators as an efficient and practical detection mechanism for privacy compliance violations. Our approach utilizes the state-of-the-art language processing model BERT for annotating the policy texts, and a hybrid technique to analyze an extension’s source code and runtime behavior. To facilitate the model training, we construct a corpus named PrivAud-100 which contains 100 manually annotated privacy policies. Our large-scale diagnostic evaluation reveals that the vast majority of existing extensions suffer from privacy non-compliance issues. Around 92% of them have at least one violation of either their privacy policies or data collection practices. Based on our findings, we further propose an index to facilitate the filtering and identification of privacy-incompliant extensions with high accuracy (over 90%). Our work should raise the awareness of extension users, service providers, and platform operators, and encourage them to implement solutions toward better privacy compliance. To facilitate future research in this area, we have released our dataset, corpus and analyzer.
Observer‐based consensus of second‐order multi‐agent system with fixed and stochastically switching topology via sampled data

This paper addresses the distributed observer‐based consensus problem of second‐order multi‐agent systems via sampled data. Firstly, for the case of fixed topology, a velocity‐independent distributed control law is proposed by designing a distributed observer to estimate the unavailable velocity, then a sufficient and necessary condition of consensus on design parameters and sampling period is obtained by using the matrix analysis method. Secondly, for the case of stochastically switching topology, a sufficient and necessary condition of mean square consensus is also proposed and proven, and an algorithm is provided to design the parameters in the consensus protocol. Two simulation examples are given to illustrate the effectiveness of the proposed consensus algorithms. Copyright © 2012 John Wiley & Sons, Ltd.
Validation of the -Re  Transition Model for Airfoils Operating in the Very Low Reynolds Number Regime

Micro Aerial Vehicles (MAVs) are state of the art in the aerospace industry and are involved in many operations. The reduced dimensions of these vehicles generate very low Reynolds number conditions in which separation-induced transition typically occurs. The extremely large computational cost of scale resolving simulations, which are capable of capturing laminar to turbulent transition, is prohibitive for most engineering and design applications. Therefore, it becomes very interesting to couple transition models with con-ventional Reynolds Averaged Navier–Stokes (RANS) simulations to allow the prediction of transition to turbulence at a reduced computational cost. This paper performs an investigation of the application of the 𝛾 -Re 𝜃 transition model analysing different empirical correlations available in literature and studying the influence of the relevant model parameters using the commercial Computational Fluid Dynamics (CFD) code STAR-CCM+. The flow around the Eppler 387, Selig/Donovan 7003 and Ishii airfoils has been studied for different Reynolds numbers and angles of attack comparing the drag and lift forces and separation bubble characteristics with experimental and numerical results reported in literature.
High Heels IncreaseWomen’s Attractiveness

Researchhasfoundthat theappearanceofwomen’s apparel helps increase their attractiveness as rated by men and thatmencaremoreaboutphysical features inpotentialoppositesex mates. However, the effect of sartorial appearance has received little interest from scientists. In a series of studies, the length of women’s shoe heels was examined. A woman confederate wearing black shoes with 0, 5, or 9 cm heels asked men for help in various circumstances. In Study 1, she asked men to respond to a short survey on gender equality. In Study 2, the confederate asked men and women to participate in a survey on local foodhabit consumption. InStudy 3, men andwomen in the street were observed while walking in back of the female confederate who dropped a glove apparently unaware of her loss. It was found that men’s helping behavior increased as soon as heel length increased. However, heel length had no effect on women’s helping behavior. It was also found that men spontaneouslyapproachedwomenmorequicklywhentheyworehighheeled shoes (Study 4). Change in gait, foot-size judgment, and misattribution of sexiness and sexual intent were used as possible explanations.
Hurricane Eyewall Slope as Determined from Airborne Radar Reflectivity Data: Composites and Case Studies

AbstractUnderstanding and predicting the evolution of the tropical cyclone (TC) inner core continues to be a major research focus in tropical meteorology. Eyewall slope and its relationship to intensity and intensity change is one example that has been insufficiently studied. Accordingly, in this study, radar reflectivity data are used to quantify and analyze the azimuthal average and variance of eyewall slopes from 124 flight legs among 15 Atlantic TCs from 2004 to 2011. The slopes from each flight leg are averaged into 6-h increments around the best-track times to allow for a comparison of slope and best-track intensity. A statistically significant relationship is found between both the azimuthal mean slope and pressure and between slope and wind. In addition, several individual TCs show higher correlation between slope and intensity, and TCs with both relatively high and low correlations are examined in case studies. In addition, a correlation is found between slope and radar-based eye size at 2 km, bu.
DECAY PROPERTY FOR THE TIMOSHENKO SYSTEM WITH FOURIER'S TYPE HEAT CONDUCTION

We study the Timoshenko system with Fourier's type heat conduction in the one-dimensional (whole) space. We observe that the dissipative structure of the system is of the regularity-loss type, which is somewhat different from that of the dissipative Timoshenko system studied earlier by Ide–Haramoto–Kawashima. Moreover, we establish optimal L2 decay estimates for general solutions. The proof is based on detailed pointwise estimates of solutions in the Fourier space. Also, we introuce here a refinement of the energy method employed by Ide–Haramoto–Kawashima for the dissipative Timoshenko system, which leads us to an improvement on their energy method.
Enhancing students’ learning creativities through the application of literacy learning model in the Merdeka Belajar Kampus Merdeka (MBKM) curriculum program

The purpose of this study is to investigate the improvement of elementary students’ learning creativities during online learning through the application of the literacy learning model. Therefore, classroom action research (CAR) was applied in this study and practice, this study implemented two cycles in which one (1) cycle consisted of planning, action, observation and reflection. A test which consists of observing, asking, reasoning, trying and communicating elements was used to collect the data. As a result, this study indicates that there was a significant improvement in test results which only 47% of students passing in cycle one (1) and an increase to 94% in cycle two (2). Thus, the use of the literacy learning model is very much recommended to be implemented to enhance students' learning creativities during online learning.
Morphometric Analysis of Achilles Tendon Structure and Its Significance: A Cadaveric Study

Introduction: Achilles tendon is crucial for gait, and chronic Achilles tendinopathy can have a substantial impact on an individual’s work and active involvement in physical or sports activity, and overall quality of life. Objectives: This research was to determine the macroscopic and microscopic anatomy of Achilles tendons in cadavers. Materials and methods: This experimental study was conducted in the Department of Anatomy, Saveetha Medical College, Thandalam, from March to August 2022. A total of 60 formalin-perfused cadavers (38 males and 22 females) were dissected to study their morphometry (length, width, thickness) and histology. The data was tabulated in MS excel and analyzed statistically using unpaired ‘t-test and one-way ANOVA in SPSS Software 17.0 (IBM Corp., Armonk, NY). Results: The mean length of the Achilles tendon was significantly higher in males than in females and similarly, the length on the right side was significantly higher than on the left side (p<0.005). The width and circumference were statistically higher in females than, males whereas, the histological features were similar in both males and females. Conclusion: The better understanding of Achilles tendon morphometry in cadavers always aids in the diagnosis and surgical repair of tendinopathy, rupture, and degenerative change. The knowledge will be helpful for the surgeons during the repair and reconstruction of the injured tendon.
Introduction to the Semantics of Belief and Common Belief

We provide an introduction to interactive belief systems from a qualitative and semantic point of view. Properties of belief hierarchies are formulated locally. Among the properties considered are ""Common belief in no error"" (which has been shown to have important game theoretic applications), ""Negative introspection of common belief"" and ""Truth about common belief. "" The relationship between these properties is studied.
Measurement science and the linking of CIPM and regional key comparisons

A generalized formalism is presented for linking a Comité International de Poids et Mesures (CIPM) key comparison (KC) with similar regional KCs. The mechanism proposed provides a straightforward and practical means for reporting on the equivalence of the larger ensemble of national metrology institutes resulting from the linking of a regional metrology organization KC to the CIPM KC of the same measurand. Redundancy in the linking path which results when there is more than one linking lab is exploited for testing the statistical consistency of the linking relative to the claimed uncertainties. The proposed linking procedure is described and illustrated with a real-world practical example employing extended chi-squared-like statistics. A procedure for linking in the presence of artefact drift or other parametrized corrections is outlined.
Transport AC losses and nonlinear inductance in high temperature superconductors

The transport AC losses in a high-T/sub C/ superconducting (Bi,Pb)SrCaCuO-2223/Ag tape at 32 and 64 Hz are presented. New expressions for the equivalent inductance formed between the electric centre of the superconductor and the voltage leads are also given. Both the measured and predicted inductance are found to be nonlinear with applied current. This may be used to relate homogeneity and the distribution of critical current density in the superconductor to the observed losses in isolated tapes.