Miracle-dz/UniFAR-FTUs huggingface dataset:
A study to assess the prevalence of anemia and its associated factors among pregnant women

Aim: Nutritional factors affecting prevalence of anemia among pregnant women. Methods: A cross-sectional study was conducted in the field practice area of department of community medicine, NMCH Patna, Bihar, India, for 10 months. All pregnant women registered at UHTC and RHTC were included in the study. Sahli’s method was used to estimate the concentration of hemoglobin in capillary blood. Results: Majority (88%) of the women get married between age 2030 years. Overall, more than half (62.5%) of the respondents were Hindu and 37.5% were Muslims by religion. In urban area, 60% were Hindu while 40% respondents were Muslims. In rural area, 65% respondents were Hindus while 35% respondents were Muslims. In urban area, 66% respondents lived in nuclear family, and in rural area 64% respondents lived in nuclear family. Overall, the average family size was 4.9. About half (54%) of the women were literate, 94% were housewives and 98% were married. More than half (56%) of the women had 4-6 months of gestational age. The overall prevalence of anemia was 73.5% among the pregnant women. The moderate anemia was found in 42.86% women, mild anemia was in 47.62% and severe anemia was in 9.52%. The calorie intake was significantly (p<0.0001) lower in anemic women (1821.59 ± 269.8) as compared to non-anemic women (2312.17 ± 359.97). The protein intake was significantly (p<0.0001) lower in anemic women (35.98 ± 11.03) as compared to nonanemic women (42.21 ± 11.74). The fat intake was significantly (p<0.0001) lower in anemic women (34.74 ± 11.26) as compared to non-anemic women (40.12 ± 14.12). The iron intake was significantly (p<0.0001) lower in anemic women (24.12 ± 5.78) as compared to non-anemic women (26.74 ± 6.63). The folic acid intake was significantly (p<0.0001) lower in anemic women (138.54 ± 34.74) as compared to nonanemic women (148.42 ± 42.15) (Table-3). Conclusion: The micronutrient intake was lower in the studied population and it was found to be significantly associated with problem of anemia amongst pregnant women.
Improving transit demand management with Smart Card data : general framework and applications

Increases in ridership are outpacing capacity expansions in a number of transit systems. By shifting their focus to demand management, agencies can instead influence how customers use the system, getting more out of the capacity they already have. However, while demand management is well researched for personal vehicle use, its applications for public transportation are still emerging. This thesis explores the strategies transit agencies can use to reduce overcrowding, with a particular focus of how automatically collected fare data can support the design and evaluation of these measures. A framework for developing demand management policies is introduced to help guide agencies through this process. It includes establishing motivations for the program, aspects to consider in its design, as well as dimensions and metrics to evaluate its impacts. Additional considerations for updating a policy are also discussed, as are the possible data sources and methods for supporting analysis. This framework was applied to a fare incentive strategy implemented at Hong Kong’s MTR system. In addition to establishing existing congestion patterns, a customer classification analysis was performed to understand the typical travel patterns among MTR users. These results were used to evaluate the promotion at three levels of customer aggregation: all users, user groups, and a panel of high frequency travelers. The incentive was found to have small but non-negligible impacts on morning travel, particularly at the beginning of the peak hour and among users with commuter-like behavior. Through a change point analysis, it was possible to identify the panel members that responded to the promotion and quantify factors that influenced their decision using a discrete choice model. The findings of these analyses are used to recommend potential improvements to MTR’s current scheme. Thesis Supervisor: Jinhua Zhao Title: Edward H. and Joyce Linde Assistant Professor of Urban Planning Thesis Supervisor: Haris N. Koutsopoulos Title: Professor of Civil and Environmental Engineering Northeastern University
Impact of Bruxism on Dental Implant: A Systematic Review & Meta-Analysis

Background: Bruxism was generally deliberated as a contraindication for oral implanting. The fundamental relationship amid bruxism and dental implant failure has remained debatable in current literatures. Purpose: This meta-examination was performed to explore the connection between them. Materials and Methods: This review directed an electronic systematic literature search in MEDLINE (PubMed) and EmBase. Methodological quality was evaluated by using the Newcastle-Ottawa Scale tool. Odds ratio (OR) with 95% confidence interval (CI) was pooled to estimate the relative outcome of bruxism on dental implant failures. Statistical analyses done by using Review Manager 5.1. Results: The extracted data were categorized into two groups. Units were created on the number of prostheses (group A) and the number of patients (group B). In group A, the total pooled OR of bruxers versus nonbruxers for all subgroups was 4.72 (95% CI: 2.668.36, p = .07). In group B, the total pooled OR of bruxers versus nonbruxers for all subgroups was 3.83 (95% CI: 2.12-6.94, p = .22). Conclusions: We found that Prostheses in bruxers had a higher failure rate. Our analysis advocates that bruxism is a contributing factor for the occurrence of dental implant technical/biological complications and may lead to dental implant failure.
Continuous Delivery: Reliable Software Releases Through Build, Test, and Deployment Automation

Getting software released to users is often a painful, risky, and time-consuming process. This groundbreaking new book sets out the principles and technical practices that enable rapid, incremental delivery of high quality, valuable new functionality to users. Through automation of the build, deployment, and testing process, and improved collaboration between developers, testers, and operations, delivery teams can get changes released in a matter of hours sometimes even minutesno matter what the size of a project or the complexity of its code base. Jez Humble and David Farley begin by presenting the foundations of a rapid, reliable, low-risk delivery process. Next, they introduce the deployment pipeline, an automated process for managing all changes, from check-in to release. Finally, they discuss the ecosystem needed to support continuous delivery, from infrastructure, data and configuration management to governance. The authors introduce state-of-the-art techniques, including automated infrastructure management and data migration, and the use of virtualization. For each, they review key issues, identify best practices, and demonstrate how to mitigate risks. Coverage includes Automating all facets of building, integrating, testing, and deploying software Implementing deployment pipelines at team and organizational levels Improving collaboration between developers, testers, and operations Developing features incrementally on large and distributed teams Implementing an effective configuration management strategy Automating acceptance testing, from analysis to implementation Testing capacity and other non-functional requirements Implementing continuous deployment and zero-downtime releases Managing infrastructure, data, components and dependencies Navigating risk management, compliance, and auditing Whether youre a developer, systems administrator, tester, or manager, this book will help your organization move from idea to release faster than everso you can deliver value to your business rapidly and reliably.
WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Modele

While deep neural networks (DNNs) have shown to be successful in several domains like computer vision, non-DNN models such as linear models and gradient boosting trees are still considered state-of-the-art over tabular data. When using these models, data scientists often author machine learning (ML) pipelines: DAG of ML operators comprising data transforms and ML models, whereby each operator is sequentially trained one-at-a-time. Conversely, when training DNNs, layers composing the neural networks are simultaneously trained using backpropagation. In this paper
Development and Evaluation of a Chinese Character Educational Board Game for Non-Native Learners

There is no doubt that knowing Chinese gives graduates a competitive advantage. The ability to communicate fluently in Chinese has long been a requirement for Chinese employers, particularly those looking to do business in China's e-commerce market. Non-native learners must master four fundamental abilities in order to become literate in the Chinese language: listening, reading, writing, and speaking. Previous research has found that writing Chinese characters is frequently the most difficult task for both non-native and native learners. The issue arises during the process of learning Chinese characters and excessive use of gadgets, while online learning inspires both researchers to create a Chinese educational board game dubbed the LiSCReW Family Board Game (LiSCReW). LiSCReW is an acronym for Listen, Speak, Count, Read, and Write. The purpose of this study is (i) to develop and evaluate the effectiveness of the LiSCReW for learning Chinese characters; and (ii) to share non-native learners' perspectives and experiences while playing LiSCReW during a one-day exhibition at Universiti Teknologi MARA (UiTM) Johor Campus. To facilitate playtesting and evaluation of the board game, a total of 22 students from UiTM Johor were conveniently selected. The findings indicate that the LiSCReW board game is an effective educational tool for learning Chinese characters. The results show that respondents are more confident in recognising Chinese characters (90.9%), pronouncing Chinese characters (68.2%), reading Chinese characters (54.6%), and applying the Chinese characters they learned while Journal of Creative Practices in Language Learning and Teaching (CPLT) Volume 9, Number 2, 2021 165 playing LiSCReW to their Chinese test (77.2%). The findings can be used to guide future research into the empirical testing of Flow Theory's applicability among a large number of respondents.
Development of a seismic site-response zonation map for the Netherlands

Earthquake site response is an essential part of seismic hazard assessment, especially in densely populated areas. The shallow geology of the Netherlands consists of a very heterogeneous soft sediment cover, which has a strong effect on the amplitude of ground shaking. Even though the Netherlands is a lowto moderate-seismicity area, the seismic risk cannot be neglected, in particular, because shallow induced earthquakes occur. The aim of this study is to establish a nationwide site-response zonation by combining 3D lithostratigraphic models and earthquake and ambient vibration recordings. As a first step, we constrain the parameters (velocity contrast and shear-wave velocity) that are indicative of ground motion amplification in the Groningen area. For this, we compare ambient vibration and earthquake recordings using the horizontal-to-vertical spectral ratio (HVSR) method, borehole empirical transfer functions (ETFs), and amplification factors (AFs). This enables us to define an empirical relationship between the amplification measured from earthquakes by using the ETF and AF and the amplification estimated from ambient vibrations by using the HVSR. With this, we show that the HVSR can be used as a first proxy for site response. Subsequently, HVSR curves throughout the Netherlands are estimated. The HVSR amplitude characteristics largely coincide with the in situ lithostratigraphic sequences and the presence of a strong velocity contrast in the near surface. Next, sediment profiles representing the Dutch shallow subsurface are categorised into five classes, where each class represents a level of expected amplification. The mean amplification for each class, and its variability, is quantified using 66 sites with measured earthquake amplification (ETF and AF) and 115 sites with HVSR curves. The site-response (amplification) zonation map for the Netherlands is designed by transforming geological 3D grid cell models into the five classes, and an AF is assigned to most of the classes. This site-response assessment, presented on a nationwide scale, is important for a first identification of regions with increased seismic hazard potential, for example at locations with mining or geothermal energy activities.
Meat yield characteristics of different upgraded dwarf chicken under intensive management condition

The study was conducted with attempts to determine the effects of autosomal dwarf (adw) gene introgression from Indigenous dwarf chicken (IDC) to White Leghorn (WLH) and Fayoumi (Fay) on growth and meat yield characteristics. Experiment was carried out at the Poultry Farm of Bangladesh Agricultural University (BAU), Mymensingh for a period of 28 months from March 2013 to June 2015 under intensive management condition. In this study, the di-allele crossing between WLH, Fay and IDC produced 4 up-graded chickens viz. IDC♂ × WLH♀, WLH♂ × IDC♀, IDC♂ × Fay♀ and Fay♂ × IDC♀. The up-graded F1 generations were mated intersex to access their productivity. The up-graded F1 generations were mated intersex to access their productivity. Pre-slaughter live weight of birds significantly (P<0.001) varied by genotype, sex and genotype × sex interaction. Percentage of thigh meat, drumstick meat, dark and total meat weights was significantly influenced by genotype. Although meat yield parameters of male birds in relation to live weight were found higher than their female birds, some parameters like breast meat, liver, giblet and total meat yield were found higher in female birds than that of male birds of all genotypes. However, meat yield parameters like percentage of thigh, drumstick and total meat yield were the highest in IDC♂ × Fay♀ and Fay♂ × IDC♀ and the lowest in IDC♂ × WLH♀. From the above findings, Fayoumi mediated dwarf genotypes showed better meat yield characteristics than Leghorn mediated dwarf genotypes.
Norwegian in-service teachers’ perspectives on language corpora in teaching English

This study aims to explore potential reasons why the use of the tools and methods of corpus linguistics are not prevalent in English teaching in Norway, using the research question What do in-service English teachers in Norway find useful about corpora and what do they find challenging? The study provides interview data from in-service teachers, contributing to our understanding of the in-service perspective on corpora. The research design consists of teaching corpus use in seminars for in-service English teachers (featuring LancsLex, the concordancer AntConc and the OANC), integrated into a language course that is part of a further education programme, and semi-structured interviews with four of the students who took the course, during which they also interacted with Netspeak, SKELL and COCA. As with previous research, the in-service teachers found corpora particularly useful for teaching and learning vocabulary, and found challenges to use which are categorized here as usability (criticism of AntConc), IT challenges (a lack of IT skills among teachers), learner-corpus interaction challenges (the complexity of software and concordance lines for pupils; pupil uninterest in language), and lack of teacher need (mistakes being “obvious” to teachers in the lower years). The article discusses some implications of these findings.
Generalized Category Discovery

In this paper, we consider a highly general image recognition setting wherein, given a labelled and unlabelled set of images, the task is to categorize all images in the unlabelled set. Here, the unlabelled images may come from labelled classes or from novel ones. Existing recognition methods are not able to deal with this setting, because they make several restrictive assumptions, such as the unlabelled instances only coming from known – or unknown – classes, and the number of unknown classes being known a-priori. We address the more unconstrained setting, naming it ‘Generalized Category Discovery’, and challenge all these assumptions. We first establish strong baselines by taking state-of-the-art algorithms from novel category discovery and adapting them for this task. Next, we propose the use of vision transformers with contrastive representation learning for this open-world setting. We then introduce a simple yet effective semi-supervised k-means method to cluster the unlabelled data into seen and unseen classes automatically, substantially outperforming the baselines. Finally, we also propose a new approach to estimate the number of classes in the unlabelled data. We thoroughly evaluate our approach on public datasets for generic object classification and on fine-grained datasets, leveraging the recent Semantic Shift Benchmark suite. Code: https://www.robots. ox.ac. uk/~vgg/research/gcd
Reconstructing Rayleigh–Bénard flows out of temperature-only measurements using nudging

Nudging is a data assimilation technique that has proved to be capable of reconstructing several highly turbulent flows from a set of partial spatiotemporal measurements. In this study we apply the nudging protocol on the temperature field in a Rayleigh-B\'enard Convection system at varying levels of turbulence. We assess the global, as well as scale by scale, success in reconstructing the flow and the transition to full synchronization while varying both the quantity and quality of the information provided by the sparse measurements either on the Eulerian or Lagrangian domain. We asses the statistical reproduction of the dynamic behaviour of the system by studying the spectra of the nudged fields as well as the correct prediction of the heat transfer properties as measured by the Nusselt number. Further, we analyze the results in terms of the complexity of the solutions at various Rayleigh numbers and discuss the more general problem of predicting all state variables of a system given partial or full measurements of only one subset of the fields, in particular temperature. This study sheds new light on the correlation between velocity and temperature in thermally driven flows and on the possibility to control them by acting on the temperature only.
ALMA Survey of Orion Planck Galactic Cold Clumps (ALMASOP): A Hot Corino Survey toward Protostellar Cores in the Orion Cloud

The presence of complex organic molecules (COMs) in the interstellar medium is of great interest since it may link to the origin and prevalence of life in the universe. Aiming to investigate the occurrence of COMs and their possible origins, we conducted a chemical census toward a sample of protostellar cores as part of the Atacama Large Millimeter/submillimeter Array Survey of Orion Planck Galactic Cold Clumps project. We report the detection of 11 hot corino sources, which exhibit compact emissions from warm and abundant COMs, among 56 Class 0/I protostellar cores. All of the hot corino sources discovered are likely Class 0, and their sizes of the warm region (>100 K) are comparable to 100 au. The luminosity of the hot corino sources exhibits positive correlations with the total number of methanol and the extent of its emissions. Such correlations are consistent with the thermal desorption picture for the presence of hot corinos and suggest that the lower-luminosity (Class 0) sources likely have a smaller region with COM emissions. With the same sample selection method and detection criteria being applied, the detection rates of the warm methanol in the Orion cloud (15/37) and the Perseus cloud (28/50) are statistically similar when the cloud distances and the limited sample size are considered. Observing the same set of COM transitions will bring a more informative comparison between the cloud properties.
An Input-to-State Safety Approach to Anomaly-Resilient Parabolic PDEs: Application to Cyber-Physical Battery Modules

Distributed Parameter Cyber-Physical Systems (DPCPSs), modelled by Partial Differential Equations (PDEs), are increasingly vulnerable to anomalies such as physical faults as well as cyber-attacks. This motivates the need for strategies towards anomaly-resilient control of these systems. Although anomaly detection and diagnostics in PDE systems have received considerable attention in existing literature, fault-tolerant or anomaly-resilient control for PDEs remains relatively under-explored. However, given the vulnerabilities of these systems against anomalies, it is essential that the control systems possess resilience against these disruptions. In this context, we explore a Practical Input-to-Safety (pISSf) based control design approach for a class of DPCPSs modelled by linear Parabolic PDEs. Speciﬁcally, we develop a design framework for anomaly-resilient control for this class of system with both safety and stability guarantees based on control Lyapunov functional and control barrier functional. To illustrate our methodology, we apply our strategy to design a thermal-anomaly resilient boundary coolant control system for a cyber-physical battery module. Several simulation studies are done to show the efﬁcacy of our method under anomalies such as mechanical battery degradation and cyber-attack mediated overdischarge.
Recycled entanglement detection by arbitrarily many sequential and independent pairs of observers

We investigate the witnessing of two-qubit entangled states by sequential and independent pairs of observers, with both observers of each pair acting independently on their part of the shared state from spatially separated laboratories, and subsequently passing their qubits to the next pair in the sequence. It has previously been conjectured that not more than one pair of observers can detect Clauser-Horne-Shimony-Holt"Bell-nonlocal"correlations in a similar set-up. This is intriguing since it is possible to have an arbitrarily long sequence of Bell-nonlocal correlations when only a single observer is allowed to share a bipartite state with multiple observers at the other end. It is therefore interesting to ask whether such restrictions are also present when entangled correlations are considered in the scenario of multiple pairs of observers. We find that a two-qubit entangled state can be used to witness entanglement arbitrarily many times, by pairs of observers, acting sequentially and independently. We prove the statement to be true when the initial pair of observers in the sequence share any pure entangled state or when they share a state from a class of mixed entangled states. We demonstrate that the phenomenon can also be observed for a certain class of entangled states in which an arbitrarily long sequence of observer pairs witnessing entanglement is reached in the limit of the initial entanglement content tending to a vanishing amount.