Miracle-dz/UniFAR-FTUs huggingface dataset:
Prediction of three-dimensional femoral offset from AP pelvis radiographs in primary hip osteoarthritis

NOTICE: this is the author’s version of a work that was accepted for publication in European Journal of Radiology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in European Journal of Radiology, vol 82, issue 8, 2013, DOI 10.1016/j.ejrad. 2013.02. 040
Turkish Journal of Electrical Engineering and Computer Sciences Turkish

In this study, we apply State Dependent Riccati Equation (SDRE) based optimal control technique to a nonlinear tumor growth model. The model consists of three biological cells which are normal tissue, tumor and immune cells. The eﬀect of chemotherapy treatment is also included in the model. Chemotherapy administration is considered as a control input to the nonlinear cancer dynamics and the amount of administered drug is determined by using SDRE optimal control. The optimal control is applied to the model in order not only to drive the tumor cells to the healthy equilibrium state but also to minimize the amount of the drug used. In SDRE control design, we investigate the eﬀects of diﬀerent weighting matrices in the cost function to be minimized. Simulation results show that selection of state dependent weighting matrices can yield positive outcomes such as less drug administration or control of tumor growth in a shorter time period.
University of Birmingham A profession in peril? University corporatization, performance measurement and the sustainability of accounting academia

: This paper examines the effects of university corporatization on accounting academics with reference to an in-depth case study of a research-intensive English business school that strongly embraced managerialist and marketized approaches to higher education. It discusses how accounting research became marginalized as the school directed research funding towards business disciplines it deemed more likely to deliver top-ranked publications, large research grants and substantial industry partnerships. The paper moreover explores how accounting teaching, curriculum design and the administrative hierarchies of the business school started to be colonized by teaching fellows with backgrounds in private sector accountancy tuition. As a result of these two developments, the school’s accounting department gradually transformed into a teaching-only operation which delivered largely standardized and highly technical accounting education. The paper links this transformation of the accounting department to the growing emphasis on research and teaching performance measures in the English higher education system and concludes that the academic accounting profession, as defined by original research and research-informed teaching, is in danger of disappearing at many English business schools.
BIG DATA ADOPTION: DOES IT HAVE A GREAT IMPACT ON CROWDFUNDING SUCCESS IN SMES?

Purpose – One of the problems of MSMEs is the limited capital they have to build their business. The presence of the Crowdfunding platform is a solution for MSMEs to find investors to fund their businesses. The problem is, not all investors want to fund these MSMEs and as a result, many MSMEs do not get funds from crowdfunding. The purpose of this research is to find out whether the adoption of Big Data can affect crowdfunding success. In this case, making in-vestors does it feel more confident about investing
Convolutional Neural Network for Background Removal in Close Range Photogrammetry: Application on Cultural Heritage Artefacts

Post-processing pipeline for image analysis in reverse engineering modelling, such as photogrammetry applications, still asks for manual interventions mainly for shadows and reflections corrections and, often, for background removal. The usage of Convolutional Neural Network (CNN) may conveniently help in recognition and background removal. This paper presents an approach based on CNN for background removal, assessing its efficiency. Its relevance pertains to a comparison of CNN approaches versus manual assessment, in terms of accuracy versus automation with reference to cultural heritage targets. Through a bronze statue test case, pros and cons are discussed with respect to the final model accuracy. The adopted CNN is based on the U-NetMobilenetV2 architecture, a combination of two deep networks, to converge faster and achieve higher efficiency with small datasets. The used dataset consists of over 700 RGB images used to provide knowledge from which CNNs can extract features and distinguish the pixels of the statue from background ones. To extend CNN capabilities, training sets with and without dataset integration are investigated. Dice coefficient is applied to evaluate the CNN efficiency. Results obtained are used for the photogrammetric reconstruction of the Principe Ellenistico model. This 3D model is compared with a model obtained through a 3D scanner. Moreover, through a comparison with a photogrammetric 3D model obtained without the CNN background removal, performances are evaluated. Although few errors due to bad light conditions, the advantages in terms of process automation are consistent (over 50% in time reduction).
Breaking the conformational ensemble barrier: Ensemble structure modeling challenges in CASP15

For the first time, the 2022 CASP (Critical Assessment of Structure Prediction) community experiment included a section on computing multiple conformations for protein and RNA structures. There was full or partial success in reproducing the ensembles for four of the nine targets, an encouraging result. For protein structures, enhanced sampling with variations of the AlphaFold2 deep learning method was by far the most effective approach. One substantial conformational change caused by a single mutation across a complex interface was accurately reproduced. In two other assembly modeling cases, methods succeeded in sampling conformations near to the experimental ones even though environmental factors were not included in the calculations. An experimentally derived flexibility ensemble allowed a single accurate RNA structure model to be identified. Difficulties included how to handle sparse or low‐resolution experimental data and the current lack of effective methods for modeling RNA/protein complexes. However, these and other obstacles appear addressable.
The Euro Cash Changeover , Inflation Perceptions and the Media ∗

In the aftermath of the euro cash changeover, inflation perceptions rapidly rose while actual inflation figures remained almost unchanged. While several explanation have been already proposed this paper explores another important link: media reporting became unusually intensive and thereby influenced consumers’ perceptions. Employing a unique dataset on media reporting for Germany, we provide evidence that the content of media reporting significantly contributed to the break of this relationship. JEL classification: E52; D83
NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages

Democratizing access to natural language processing (NLP) technology is crucial, especially for underrepresented and extremely low-resource languages. Previous research has focused on developing labeled and unlabeled corpora for these languages through online scraping and document translation. While these methods have proven effective and cost-efficient, we have identified limitations in the resulting corpora, including a lack of lexical diversity and cultural relevance to local communities. To address this gap, we conduct a case study on Indonesian local languages. We compare the effectiveness of online scraping, human translation, and paragraph writing by native speakers in constructing datasets. Our findings demonstrate that datasets generated through paragraph writing by native speakers exhibit superior quality in terms of lexical diversity and cultural content. In addition, we present the \datasetname{} benchmark, encompassing 12 underrepresented and extremely low-resource languages spoken by millions of individuals in Indonesia. Our empirical experiment results using existing multilingual large language models conclude the need to extend these models to more underrepresented languages. We release the NusaWrites dataset at https://github.com/IndoNLP/nusa-writes.
The Sensitivity and Psychometric Properties of a Brief Computer-The Sensitivity and Psychometric Properties of a Brief Computer-Based Cognitive Screening Battery in a Depression Clinic Based Cognitive Screening Battery in a Depression Clinic

: At present, there is poor accuracy in assessing cognitive and vegetative symptoms in depression using clinician or self-rated measures, suggesting the need for development of standardized tasks to assess these functions. The current study assessed the psychometric properties and diagnostic specificity of a brief neuropsychological screening battery designed to assess core signs of depression; psychomotor retardation, attention and
Global shutter CMOS vision sensors and event cameras for on‐chip dynamic information

The on‐chip extraction of dynamic information from a scene can be addressed with either frame‐based CMOS vision, also called smart image sensors, or dynamic vision sensors, also known as event cameras. When implemented with a pinned photodiode (PPD) as a 4‐transistor active pixel sensor (4T‐APS), the former brings about the benefits of low temporal noise and dark current but without high dynamic range (HDR). The latter comes with the benefits of HDR and a fast event detection rate with low power consumption. The drawback is the background activity noise, which leads to additional hardware or algorithms to keep it low. This paperanalyses the mismatch and noise of a global shutter 4T‐APS implementation with local HDR through an overflow capacitor and correlated double sampling (CDS) to provide low noise events through frame differencing. The aim is to narrow the gap with dynamic vision sensors in terms of event rate and dynamic range. We show that our solution would be competitive with event cameras in scenarios with slow moving objects and a relatively wide dynamic range (85 dB).
Fire management and woody biomass carbon stocks in mesic savannas

his engaging volume explores the management of fire in one of the world’s most flammable landscapes: Australia’s tropical savannas, where on average 18% of the landscape is burned annually. Impacts have been particularly severe in the Arnhem Land Plateau, a centre of plant and animal diversity on Indigenous land. Culture, Ecology and Economy of Fire Management in North Australian Savannas documents a remarkable collaboration between Arnhem Land’s traditional landowners and the scientific community to arrest a potentially catastrophic fire-driven decline in the natural and cultural assets of the region – not by excluding fire, but by using it better through restoration of Indigenous control over burning. This multi-disciplinary treatment encompasses the history of fire use in the savannas, the post-settlement changes that altered fire patterns, the personal histories of a small number of people who lived most of their lives on the plateau and, critically, their deep knowledge of fire and how to apply it to care for country. Uniquely, it shows how such knowledge and commitment can be deployed in conjunction with rigorous formal scientific analysis, advanced technology, new cross-cultural institutions and the emerging carbon economy to build partnerships for controlling fire at scales that were, until this demonstration, thought beyond effective intervention.
MERCI and Multi MERCI Trials Decreased Mortality: Pooled Analysis of the Are Associated with Improved Outcome and Mechanical Thrombectomy for Acute Stroke Higher Degrees of Recanalization after

BACKGROUND AND PURPOSE: Although the combined end point of partial and complete recanalization is a well-established predictor of good outcome following acute stroke intervention, few investigations have evaluated the effect of the degree of recanalization. We hypothesized that greater degrees of recanalization would be associated with a higher likelihood of favorable functional outcomes. MATERIALS AND METHODS: Data from MERCI and Multi MERCI—prospective single-arm trials of endovascular mechanical thrombectomy for acute stroke—were pooled. The TIMI score was used to define the degree of recanalization, and a favorable outcome was defined as an mRS score of 0–2 at 90 days. RESULTS: A total of 305 patients were included. Age, stroke severity, and site of arterial occlusion did not differ among groups stratified by the TIMI score. The unadjusted OR for a favorable outcome increased significantly as the TIMI score increased from 0 to 1 (OR, 5.9; 95% CI, 1.7–20.0; P (cid:1) . 007) and from 2 to 3 (OR. 2.3; 95% CI, 1.2–4.5; P (cid:1) . 01) and the likelihood of death decreased significantly as the TIMI score increased from 2 to 3 (OR, 2.2; 95% CI, 1.1–4.3; P (cid:1) . 05). In multivariate analysis, each increase in TIMI grade increased the odds of a good outcome 2.6-fold (95% CI, 1.9–3.4, P (cid:2) . 0001). CONCLUSIONS: Increases in the TIMI score were highly associated with improved outcomes. This finding not only provides additional evidence that restoration of blood flow improves clinical outcomes in ischemic stroke but also suggests that interventionalists should strive for complete revascularization when they provide endovascular treatment for acute ischemic
The Chittagong story: studies on the ecology of rat floods and bamboo masting

Rodent population outbreaks due to the 50-year cycle of gregarious flowering and seed masting of Melocanna baccifera were first noted in the Chittagong Hill Tracts (CHT) of Bangladesh during the crop production cycle of 2008. The wave of flowering has steadily moved southward through the region each year, with seed masting still occurring in some areas of the CHT during 2010. Because of a lack of surveillance, it is not yet known whether all Melocanna bamboo forests across the region have now initiated flowering. Ecological surveys carried out during the masting event have provided some preliminary evidence that nearly all rodent species are able to exploit Melocanna bamboo seeds as a food resource, with nearly 30% of the seed fallen in forests damaged by rodents. Breeding potential of the predominant species found, Rattus rattus, appears to confirm that aseasonal breeding occurs due to the abundant supply of bamboo seed during masting events. These preliminary results obtained from ongoing research surveys are discussed in the context of the management response to the regional famine triggered by the severe crop damage caused by rodent population outbreaks.
Risk factors and outcome of pain-related avoidance of activities in persons with early symptomatic knee osteoarthritis : a 5-year follow-up study

Objective. It has been hypothesized (1) that pain and low vitality lead to an increase in avoidance of activities in persons with early symptomatic knee osteoarthritis (OA), and (2) that avoidance of activities leads to an increase in activity limitations. The present study aimed to evaluate these hypotheses. Methods. Baseline, 2-year and 5-year follow-up data of 828 participants from the Cohort Hip and Cohort Knee (CHECK) study with early symptomatic knee OA were used. Autoregressive generalized estimating equations (GEE) and linear regression models were used to analyse the longitudinal and cross-sectional associations between self-reported knee pain, vitality, pain-related avoidance of activities and activity limitations. The models were adjusted for the covariates age, gender, education level, body-mass index, comorbidity, radiographic severity, and hip pain. Results. (1) In longitudinal analyses, knee pain and vitality predicted a subsequent increase in avoidance of activities. (2) Pain-related avoidance of activities predicted a subsequent increase in activity limitations, however this relationship lost statistical significance (p = 0.089) after adjustment for covariates. Cross-sectional analyses showed strong relationships between knee pain, low vitality, pain-related avoidance of activities and activity limitations at all time-points. Conclusions. In persons with early symptomatic knee OA, knee pain and low vitality lead to a subsequent increase in avoidance of activities. Pain-related avoidance of activities is related to activity limitations at inception of symptoms but also years later. Therefore, it can be recommended to monitor and target avoidance of activities at various stages of the disease. Avoidance of activities longitudinal
Gene-Based Tests for Screening, Detection, and Management of Prostate or Bladder Cancer

PLEASE NOTE: Contracts exclude from coverage, among other things, services or procedures that are considered investigational or cosmetic. Providers may bill members for services or procedures that are considered investigational or cosmetic. Providers are encouraged to inform members before rendering such services that the members are likely to be financially responsible for the cost of these services.
Contextual TV ow commendation

Recommender systems are a form of artiﬁcial intelligence that is used to suggest items to users of digital platforms. They use large data sets to infer models of users’ behavior and preferences in order to recommend items that the user may be interested in. Following the trend imposed by digital media companies and willing to adapt to the media consumption habits of their customers, TV broadcasters are starting to realize the potential of recommender systems to personalize the access to their online catalog. By understanding what viewers are watching and what they might like, TV broadcasters can improve the quality of their programming, increase viewership, and attract new viewers. In this work, we analyze one speciﬁc group of users that TV broadcasters must take into account when creating a recommender system: non-logged users. In this scenario the challenge is to use contextual information about the interaction in order to predict recommendations, as it is not feasible to use any kind of information about the user. We propose a method to leverage data from other type of users (logged users and identiﬁed devices) by using Graph Convolutional Networks in order to come up with a more accurate recommender system for unidentiﬁed users.
Transpiration of detached mycorrhizal and nonmycorrhizal leaves fed varying abscisic acid, pH, calcium and phosphorus

Mycorrhizal colonization can alter stomatal behavior of host leaves during drought without obvious changes in plant size or nutrition. This may be related to an altered production or reception of a chemical signal of soil drying. I tested whether intact root systems were required to observe a mycorrhizal effect on leaf transpiration (£), or whether some residual mycorrhizal influence on leaves could affect E of foliage detached from root systems. Transpiration assays were performed in the presence of several possible candidates for a chemical signal of soil drying. Although colonization alone did not alter E of detached leaves of Vigna unguiculata (cowpea), colonization interacted significantly with ABA and pH in regulating transpiration. Colonization affected E of detached Rosa hybrida (rose) leaves but had no effect on E of detached leaves of Pelargonium hortorum (geranium). In each species tested, increasing the ABA concentration decreased E. In cowpea, calcium appeared to alter stomatal sensitivity to ABA, as well as regulate stomatal activity directly. The pH of the feeding solution affected E in rose, but did not change E independently in cowpea or geranium. Adding phosphorus to the feeding solution did not alter E, but did change the apparent sensitivity of cowpea stomata to ABA. Colonization of roots by mycorrhizal fungi can result in residual effects in detached leaves, that can alter the stomatal reception of chemical signals in both rose and
University of Birmingham Full metal wideband cosecant squared pattern antenna with a highly compact hybrid feed network

— This paper presents a full metal wideband high-performance cosecant squared (CSC 2 ) pattern antenna. A highly compact structure is achieved by a convoluted feeding network routed in multiple layers. Double metal-ridges are added to the flared radiation slot to reduce the aperture size of the antenna element. A line of forty such elements are excited by a full-corporate feed network arranged longitudinally, so as to form a phased array in the future. A hybrid of single-ridge waveguide and coaxial line in a sandwich structure is used to construct the feed network. The absorbing wedge loaded coupler and magic-T are incorporated into the feed network to achieve high isolation and large power-division ratio, thereby improving the stability of the amplitude and phase distribution. This ensures the desired CSC 2 patterns over a wide frequency band. A prototype operating at C-band is designed, fabricated and measured. Experimental results show that the antenna has an impedance bandwidth (|S 11 |<-13.1 dB) from 6 GHz to 7.4 GHz. Stable CSC 2 patterns in E-plane with the peak gain of over 16.5 dB and sidelobe level of less than -17.5 dB are observed across the same frequency band.
Implicit Responses in the Judgement of Attractiveness in Faces with Differing 7

10 Makeup is a form of body art which has been used for over 7000 years and is present in 11 the great majority of human cultures, often used to enhance facial attractiveness and to 12 accentuate features that represent femininity. This study examined how cumulative 13 levels of facial makeup influenced approach and avoidance tendencies and on facial 14 muscle responses associated with emotional response obtained through facial 15 electromyography (EMG) in a passive viewing task. Experiment 1 employed the 16 joystick variant of the approach-avoidance task, where 30 subjects categorised female 17 faces by visual orientation (portrait/landscape) in 7 cumulatively-added makeup levels. 18 In Experiment 2, facial EMG was recorded from 40 subjects in the passive viewing of 19 the same images. The present study shows that makeup application modulates implicit 20 responses and reveals two distinct implicit preferences, behavioural and affective, with 21 a male behavioural preference for heavy eye cosmetics, a female behavioural preference 22 for light makeup, and an overall affective preference in both men and women for 23 makeup accentuating visual contrast in the eye and mouth regions. These results are 24 consistent with the conception that perceptual cues underlying cosmetic enhancement 25 are key determinants in aesthetic facial preferences.