Miracle-dz/UniFAR-FTUs huggingface dataset:
The Biomechanical Effects of Off-the-Shelf Foot Orthoses on the Gait of Able-Bodied Subjects: A Prospective Study.

Non-prescription foot orthoses (FO) or inner-soles can be obtained "off the shelf' from, for example, sports shops and chemists. They are available with different designs and materials, and are aimed at people who seek comfort and support for their feet. These FO can be found with similar components as prescription FO, however, the former are mass produced and therefore may not provide an appropriate fit for a particular subject's foot morphology. There is therefore a need to assess the biomechanical effects of these FO to determine their immediate effects and to suggest implications following long term use. Two "off the shelf' FO were investigated. One was a flat insole with a heel pad, the other a flat insole with a heel pad and a medial arch support. Level walking kinetic and kinematic data were collected before, during and after use of the FO from 12 healthy subjects (6 subjects per FO). A questionnaire was also developed to investigate the subject's perception of comfort and satisfaction with the FO. Healthy subjects were selected for the FO testing because these FO are intended for healthy subjects. The analysis was performed on a case by case basis such that each subject acted as his own reference. Prior to the FO study, a comparison of two available kinematic marker sets, the Skin Marker set (SMS), and the Wand Marker set (WMS), was undertaken to select the one with best performance to use in the gait measurements. Using the selected WMS a data repeatability study was subsequently carried out with 6 healthy subjects. The results from this study were used to detect changes in gait parameters due to FO use. The FO study showed that the orthoses used do not make a proper fit with all anatomical medial-longitudinal arches, may not reduce eversion in all users, and can cause an increased knee abduction moment, which may pose a potential health risk to the knee and surrounding structures. The results suggest that greater guidance needs to be provided with "off the shelf' orthoses, which may necessitate a more detailed clinical and biomechanical examination of the foot before purchase, and improved classification in terms of the components and materials used, and the dimensions of such orthoses.
Low-Power Computer Vision: Status, Challenges, Opportunities

Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile phones, many autonomous systems rely on visual data for making decisions and some of these systems have limited energy (such as unmanned aerial vehicles also called drones and mobile robots). These systems rely on batteries and energy efficiency is critical. This article serves two main purposes: (1) Examine the state-of-the-art for low-power solutions to detect objects in images. Since 2015, the IEEE Annual International Low-Power Image Recognition Challenge (LPIRC) has been held to identify the most energy-efficient computer vision solutions. This article summarizes 2018 winners' solutions. (2) Suggest directions for research as well as opportunities for low-power computer vision.
Support Networks of Rural Older Adults with Self-Care Challenges

SUPPORT NETWORKS OF RURAL OLDER ADULTS WITH SELF-CARE CHALLENGES Adrienne L. Cohen Older adults aging in rural areas face challenges accessing both informal assistance from family, friends, and others and paid formal assistance from a variety of professional agencies. Despite these challenges, many rural elders have been able to construct networks that assist them with the daily struggles of growing older in rural communities. An exploratory descriptive study was conducted in three rural western North Carolina counties with 16 rural elders, eight support network members and staff from six homeand community-based service (HCBS) provider agencies. Through one-on-one interviews with rural elders and members of their support networks, this study investigates how rural elders create and sustain support networks as they develop physical challenges that limit their ability to care for themselves. In addition, data were collected from interviews with staff from six HCBS providers in the same geographic area to explore if and/or how integration between rural elders’ informal supports and formal support systems occurred and the strategies and challenges of this integration. Findings from this research increase understanding of the dynamic nature of rural elder support networks and the advantages and challenges to family and agency staff collaboration. This dissertation increases our understanding of these support networks and builds a knowledge base that will better inform HCBS providers about how to work more collaboratively with individuals providing informal support. SUPPORT NETWORKS OF RURAL OLDER ADULTS WITH SELF-CARE CHALLENGES
On understanding character-level models for representing morphology

Morphology is the study of how words are composed of smaller units of meaning (morphemes). It allows humans to create, memorize, and understand words in their language. To process and understand human languages, we expect our computational models to also learn morphology. Recent advances in neural network models provide us with models that compose word representations from smaller units like word segments, character n-grams, or characters. These so-called subword unit models do not explicitly model morphology yet they achieve impressive performance across many multilingual NLP tasks, especially on languages with complex morphological processes. This thesis aims to shed light on the following questions: (1) What do subword unit models learn about morphology? (2) Do we still need prior knowledge about morphology? (3) How do subword unit models interact with morphological typology? First, we systematically compare various subword unit models and study their performance across language typologies. We show that models based on characters are particularly effective because they learn orthographic regularities which are consistent with morphology. To understand which aspects of morphology are not captured by these models, we compare them with an oracle with access to explicit morphological analysis. We show that in the case of dependency parsing, character-level models are still poor in representing words with ambiguous analyses. We then demonstrate how explicit modeling of morphology is helpful in such cases. Finally, we study how character-level models perform in low resource, cross-lingual NLP scenarios, whether they can facilitate cross-linguistic transfer of morphology across related languages. While we show that cross-lingual character-level models can improve low-resource NLP performance, our analysis suggests that it is mostly because of the structural similarities between languages and we do not yet find any strong evidence of crosslinguistic transfer of morphology. This thesis presents a careful, in-depth study and analyses of character-level models and their relation to morphology, providing insights and future research directions on building morphologically-aware computational NLP models.
No Significant Impact of Lactobacillus reuteri on Eradication of Helicobacter pylori in Children (Double-Blind Randomized Clinical Trial)

Background: Lactobacillus reuteri is a probiotic that originated from humans and have been used for eradication of the Helicobacter pylori (HP) infection. Objectives: This study was aimed to determine whether adding probiotics to a triple regimen against HP could improve the eradi-
Pengaruh Kecemasan Matematika terhadap Kemampuan Pemecahan Masalah Siswa di SMA

Penelitian ini dilakukan oleh rendahnya kemampuan siswa di SMA yang dapat disebabkan oleh faktor eksternal dan faktor internal. Faktor eksternal, seperti metode dan strategi pembelajaran. Faktor internal, seperti emosi siswa atau kecemasan terhadap matematika. Penelitian ini hendak mengetahui bagaimana pengaruh kecemasan matematika terhadap keterampilan pemecahan masalah. Penelitian ini dilakukan di SMAN 2 Kota Serang. Metode penelitian ini adalah deskriptif kuantitatif dengan mengambil 3 kelas sebagai sampel. Data dikumpulkan menggunakan kuesioner dan tes. Hasil penelitian ini menunjukkan bahwa 1) rata-rata keterampilan pemecahan masalah matematika siswa adalah siswa yang memiliki kecemasan rendah memiliki skor yang sama dengan siswa yang memiliki kecemasan sedang, dan siswa yang memiliki kecemasan sedang lebih baik daripada siswa yang memiliki kecemasan tinggi, dan siswa yang memiliki kecemasan rendah memiliki skor lebih baik daripada siswa yang memiliki kecemasan tinggi 2) ada hubungan negatif antara kecemasan dan keterampilan pemecahan masalah 3) semakin tinggi tingkat kecemasan, semakin rendah keterampilan pemecahan masalah. Dari hasil tersebut, dapat disimpulkan bahwa ada perbedaan keterampilan pemecahan masalah matematika berdasarkan tingkat kecemasan, ada hubungan antara kecemasan matematika dan keterampilan pemecahan masalah matematika dan ada pengaruh antara kecemasan matematika dan keterampilan pemecahan masalah.
Usage of Image-Enhancement Tools When Reading Radiographs Taken During Root-Canals Treatments’ Procedures

Objective: This study aimed at exploring the usage of radiographic image-enhancement tools in Saudi dental practice when interpreting radiographs taken for root-canal-treatments’ (RCTs) procedures and the influencing factors. Methods: An online survey including questions related mainly to the usage of images enhancement tools and the reasons for no or low frequently usage was constructed. The survey was sent to 550 general dentists (GDs), randomly selected from the Saudi Dental Register, and all endodontists (185) in Saudi Arabia using the Google-Drive tool. A reminder email was sent two months later to encourage none-respondents to complete the survey. Data were analyzed using the Chi-square and Linear-by-Linear Association tests at p=0.05. Results: While the highest percentage of GDs (48.3%) never used the colour-coded tool, the highest percentage of endodontists (46.1%) used it sometimes (P<0.001). The majority (84.2%) used the contrast tool either generally (67.8%) or sometimes (16.4%) (P<0.001); with more endodontists (77.55%) than GDs (63.1%) (P=0.011). As participants experience decreased and the weekly performed cases increased, the trend of using this tool increased (P<0.05). While most GDs (67.6%) either never (46%) or few-times (21.6%) used the highlight tool, most endodontists (56.9%) either used it generally (34.4%) or sometimes (22.5%) (P<0.001). The majority (82.3%) were using the magnification tool either generally (55.1%) or sometimes (27.2%). The highest percentage (36.1%) was generally using the negative-view tool (P=0.045); with more endodontists (63.7%) than GDs (20.8%) (P<0.001). While “I don’t know how to use it” was the dominant reason reported by GDs for not using most of the tools, lack of time was the dominant reason reported by endodontists (P≤0.001). Conclusion: The contrast and magnification were the most common used image-enhancement tools in Saudi dental practice. Endodontists reported greater preferences on using all images-enhancement tools than GDs. Unawareness and lack of time were the dominant reasons for not using the tools reported by GDs and endodontists, respectively. Further studies are required to determine the exact application for each tool and to investigate the impact of all image-enhancement tools on their diagnostic accuracy.
A complex scenario of glacial survival in Mediterranean and continental refugia of a temperate continental vole species (
 Microtus arvalis
 ) in Europe

1IREC, Instituto de Investigación en Recursos Cinegéticos (CSIC‐UCLM‐JCCM), Ciudad Real, Spain 2Museum of Natural Science, Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana, USA 3Terrestrial Ecology Group (TEG), Departamento de Ecología, Universidad Autónoma de Madrid, Madrid, Spain 4Department of Evolutionary Ecology, Museo Nacional de Ciencias Naturales MNCN‐CSIC, Madrid, Spain 5Research Unit of Biodiversity, UMIB (CSIC, PA), University of Oviedo, Mieres, Spain 6Plant Protection and Inspection Services, Ministry of Agriculture and Rural Development, Bet Dagan, Israel 7Vaubalier, France 8Centre d’Etudes Biologiques de Chizé, UMR 7372, CNRS and Université de la Rochelle, La Rochelle, France 9LTSER Zone Atelier Plaine and Val de Sèvre, CNRS, Villiers‐en‐Bois, France 10Madrid, Spain
Theta rhythm supports hippocampus-dependent integrative encoding in schematic memory networks

Integrating new information into existing schematic structures of knowledge is the basis of learning in our everyday life activity as it enables structured representation of information and goal-directed behaviour in an ever-changing environment. However, how schematic mnemonic structures aid the integration of novel elements remains poorly understood. Here, we showed that the ability to integrate novel picture information into learn structures of picture associations that overlap by the same picture scene (associative network) or by the conceptually related scene information (schematic network) is hippocampus-dependent, as patients with lesions at the medial temporal lobe (including the hippocampus) were impaired in inferring novel relations between elements within these mnemonic networks but not in retrieving individual pictures in a subsequent memory test. In addition, we observed more persistent and widespread scalp electroencephalographic (EEG) theta oscillatory pattern (3-6Hz) while healthy participants encoded novel pictures related to schematic memory networks, suggesting that theta may reflect distances between elements within a representational network space. Finally, we found high similarity values for neural activity patterns elicited by novel and related events only within associative networks, thereby suggesting that neural reactivation may promote the integration of new information into existing memory networks only when direct associations within the network link their elements. These findings have important implications for our understanding of the neural mechanisms that support the development and organization of structures of knowledge.
Volcanic experiences: comparing non-corpus-based translations with corpus-based translations in translation training

ABSTRACT Corpus-based translations are reported to be particularly effective for both students and professionals. This paper presents a case study with 15 Italian students enrolled in a bachelor program in translation studies. The students performed two tasks. During the first, they had to correct the shortcomings of a target text (in English) on volcano hiking. While correcting, they had to indicate the language tools used to correct the translation mistakes. During the second task, the students compiled and interrogated a corpus, re-assessed the target text and reviewed their own corrections in light of corpus evidence. A final questionnaire was administrated at the end of the second task. The paper findings highlight that corpus analysis can help students make more learned and informed translation decisions. Furthermore, corpora allow to grasp word use in contexts, find collocations or fixed expressions and deliver more fine-grained translation works. Nonetheless, the questionnaire results remarked that students may feel overwhelmed by Internet data and ‘distracted’ by corpus evidence itself.
Fairtrade and Workers’ Welfare: A Case Study of the Soccer Industry in Pakistan

The resurgence of the debate on standardization of labor laws via trade has brought into focus the importance of labeling programs, which are seen as a desirable avenue to remedy weak labor laws in the “South. ” This study aims to quantify the impact of the Fairtrade labeling program on the welfare position of workers in the football industry. Propensity Score Matching (PSM) is used to calculate the treatment effect of the program. The study finds no treatment effect of labeling upon the welfare condition of workers. It concludes that the overall program has failed to make an impact upon the lives of workers.
Analisis Kompetensi Guru dalam Mempersiapkan Media Pembelajaran Berbasis Teknologi Informasi Era Revolusi Industri 4.0

Indonesia faces the biggest challenge in education. Various problems have arisen including teachers not yet utilizing technology optimally in learning. Teachers in schools still maintain conventional learning. Actions to motivate teachers are needed so that integrated learning of information technology can be implemented well. This is in accordance with the demands of the industrial revolution 4.0 in the learning process where teachers and students together make innovations including the use of information technology-based learning media. To find out how deep the teacher's understanding of the preparation of information technology-based learning media in the revolution era 4.0, analysis in the form of quantitative data presented descriptively is needed.
The prevalence and risk factors of major depressive disorders in gynaecological cancer patients

Major Depressive Disorder (MDD) in gynaecological cancer patients is a disabling illness with significant mental and physical suffering. Determining the risk factors of MDD in cancer patients enables us to pay more attention to those who are vulnerable and to device effective strategies for prevention, early detection, and treatment. The objective of the study is to determine the prevalence of MDD and its associated risk factors in gynaecological cancer patients at Hospital Sultanah Bahiyah, Alor Star. This is a hospital-based cross-sectional descriptive study of 120 gynaecological cancer patients in Gynae-Oncology Unit in Hospital Sultanah Bahiyah, Alor Star. Mini International Neuropsychiatry Interview (MINI) was used for diagnosis of MDD. Socio-demographic data and clinical variables were collected. MVFSFI (Malay version Female Sexual Function Index) was used to determine sexual dysfunction, and WHOQOL-BREF (World Health Organization – Quality of Life-26) was performed to assess quality of life. The prevalence of MDD in gynaecological cancer patients in the study was 18%. The variables found to be significantly associated with MDD were lack of perceived social support, greater physical pain perception, presence of past psychiatric history, and poorer quality of life. Meanwhile, sexual dysfunction was not associated with MDD. Logistic regression analysis revealed that only the psychological health domain of QOL was significantly associated with MDD, and contributed to 60% of the variation in MDD. The prevalence of MDD in gynaecological cancer patients is higher than those in the general population. In view that MDD can compromise cancer prognosis and patient’s well-being, psychosocial intervention is recommended as a part of multi- disciplinary and comprehensive management of gynaecological cancer.
Factors that promote social media marketing in retail companies

Reaching consumers effectively is one of the main challenges facing businesses, particularly those in retail. The latter is due to advances in information technology and the phenomenon of social media has given rise to new digital and asynchronous tools to increase dialogue between businesses and consumers. This study applied the Confirmatory Factor Analysis and Structural Equations Modeling to analyze data collected from a questionnaire applied to 421 marketing managers in Medellin’s retail sector (Colombia). This study uses the Technology Acceptance Model - TAM to identify the factors that promote the adoption of social media marketing in retail companies. Identifying these factors facilitates the design of strategies to take advantage of this form of marketing to retain current customers and reach potential customers. This study highlights that the usefulness of social networks does not depend on the perception of how easy or difficult it is to use them as some authors have pointed out. Furthermore, it allows reaffirming the positive influence of Trust on the Perceived Usefulness construct and Perceived Ease of Use, which promotes the adoption of marketing in Social Media.
Innovation Persistence and Employment Dynamics

This paper examines the effect of persistence in product and process innovations on the employment dynamics of a representative sample of Spanish manufacturing firms observed over more than 20 years. We build on a conceptual framework that links innovation persistence, employment growth and the persistence of this growth in the long-run. Using dynamic panel GMM and survival analysis techniques, we find that persistence in product innovation affects both employment growth and the sustainability of job creation over time significantly, whilst persistence in process innovation does not play any relevant role. The evidence we provide supports the notion that product innovation is more effective in spurring sustained employment growth when carried out systematically.
Getting there from here: a literature review on vocational education and training reform implementation

ABSTRACT Vocational education and training (VET) reform is increasingly common, but there is more evidence on designing VET reforms than implementing them. This literature review searches the existing literature on VET reform implementation for key determinants, trends, and gaps using a determinant framework. We review 1,835 sources, coding 177 for 1,538 data points. We find that, like other implementation domains, resource- and stakeholder-related determinants are very important. For VET specifically stakeholders include employment-system actors and the relationships among actors are key. The major determinants are more like necessary than sufficient conditions, and mainly operation in conjunction with others. Europe is more represented than other continents. The findings in the literature are consistent over time, type, continent, and development status, but it is not clear if that is due to consensus or stagnation. The field is growing, however, so future research can develop theory by developing and testing hypotheses.
Transient “rest” induces functional reinvigoration and epigenetic remodeling in exhausted CAR-T cells

T cell exhaustion limits immune responses against cancer and is a major cause of resistance to CAR-T cell therapeutics. Using a model wherein tonic CAR signaling induces hallmark features of exhaustion, we employed a drug-regulatable CAR to test the impact of transient cessation of receptor signaling (i.e. “rest”) on the development and maintenance of exhaustion. Induction of rest in exhausting or already-exhausted CAR-T cells resulted in acquisition of a memory-like phenotype, improved anti-tumor functionality, and wholescale transcriptional and epigenetic reprogramming. Similar results were achieved with the Src kinase inhibitor dasatinib, which reversibly suppresses CAR signaling. The degree of functional reinvigoration was proportional to the duration of rest and was associated with expression of transcription factors TCF1 and LEF1. This work demonstrates that transient cessation of CAR-T cell signaling can enhance anti-tumor potency by preventing or reversing exhaustion and challenges the paradigm that exhaustion is an epigenetically fixed state.