Miracle-dz/UniFAR-FTUs huggingface dataset:
Calcified carotid atherosclerotic plaque in panoramic radiographs in patients with Diabetes mellitus- A Retrospective Study

Atherosclerosis is characterized by thickening and loss of elasticity of the arterial walls, associated with the presence of atheromatous plaques.It is associated with diabetes mellitus and leads to increased risk of stroke.The aim of this study is to determine the prevalence of atherosclerotic plaques in panoramic radiograph in patients with diabetes mellitus.A retrospective study was carried out in diabetic patients who took panoramic radiographs for routine dental examination visiting Radiology department.The data were obtained from analysing 86000 patients records between June 2019-March 2020.The data comprised of 220 diabetic patients who visited Radiology department.The collected data were entered into Excel sheet and subjected to statistical analysis using SPSS software.A chi square test was done between variables.Results showed that prevalence of atheroscleerotic plaque on panoramic radiographs in patients with diabetes mellitus was found to be 34.09% . Out of 34.09%, 61.11% had unilateral atherosclerotic plaque and 38.89% had bilateral atherosclerotic plaque.Statistically significant association was found between age and presence of atherosclerotic plaque (p-value:0.014). The present study concludes that presence of atherosclerotic plaque was found highly in female diabetic patients and patients under 40-60 age group.
Simultaneous Localization and Communication Methods Using Short-Time and Narrow-Band Acoustic Signals

In this paper, we describe simultaneous localization and communication methods using acoustic signals transmitted simultaneously from multiple speakers. In the case where shorttime and narrow-band acoustic signals are used, the interference of signals could cause a systematic error of localization and communication depending on the modulation value. To reduce this systematic error, a noninterference region was constituted in the received signal, and localization and demodulation were processed using this region. Through simulation and real-environment experiments, it was confirmed that the proposed method can reduce the systematic error. Keywords–indoor localization; TDoA; acoustic signal; acoustic communication; DPSK.
SURVEY ON PRESERVING THE CONTENT VIA IMAGE STITCHING

-Image/Video stitching stitches multiple overlapping images or merges two or more image into seamless view. The stitched image/video generates wide-field-of-view(fov). The image stitching which is also called as image mosaicing is widely used in the areas like sports broadcasting, video surveillance, google street view, aviation photography,360-degree panaroma and also field of image processing. Image processing refers to processing of information via images . This survey review is about preserving the content via image stitching with rectangular boundary constraints. With the help of unified optimization, regular boundary is formed by image stitching. Firstly, initial stitching based on traditional warping method is achieved which produces composition of warped meshes, on it polygon Boolean operations are performed for getting the irregular boundaries. The image stitched framework should be of rectangular boundary maintaining its content with reduced unwanted distortions. So, the irregular boundaries are analyzed to line and regular boundary making the content preservable in its constraints with less distortions. This image stitching method is extended to video stitching. Video stitching is more complicated as there are many factors hinderance like shakiness of camera, moving objects, blurring of images, ghosting effect, temporal coherence.
Conventional Static Cmos Based Logic Circuits Design Through Adaptive Feedback Equalization

The new digital transmission systems force the use of channel equalizers with short training time and high tracking rate. Equalization techniques make up for the time scattering presented by correspondence channels and battle the subsequent inter-symbol interference (ISI) impact. Given a channel of the obscure drive response, the motivation behind an adaptive equalizer is to operate on the channel yield with the end goal that the course association of the channel and the equalizer gives an estimate to an ideal transmission medium. Normally, adaptive equalizers utilized in digital communications require an underlying training period, during which a realized information arrangement is sent. In this paper, propose the Tunable sub edge logic design through adaptive feedback equalization
Models meet Discourse Analysis : a quantitative tool for a 1 qualitative approach

Thomas Jacobs is a PhD candidate at the Centre for EU Studies, Ghent University. His 9 main research interests include EU trade policy, international political economy, and 10 political communication. Most of Thomas’ work focuses on discourse, meaning11 making, signification, and strategy in political praxis, departing from a poststructuralist 12 perspective, more specifically the discourse-theoretical tradition of Laclau and Mouffe. 13 Prior to entering academia, he worked as a consultant at a Brussels-based 14 communications and public affairs firm. 15
On the way to compare the polarity reversal withstand capability of HVDC mass-impregnated and extruded cable systems

This paper describes a broad test campaign for comparing the performances of extruded cable systems under polarity reversal with those of MIND cable systems. The campaign, based on a partnership between TERNA, CESI, and a few major cable manufacturers worldwide, is is being performed in the new HVDC test labs of CESI in Mannheim, Germany. The tests will include a mixed arrangement of both load cycles and voltage polarity reversals tests. The test protocol has been selected from TERNA’s experience in testing MIND cables, and aging and life models for extruded cables developed together with the University of Bologna, Italy.
A Single Phase Bidirectional Converter for V2G Operation of Electric Vehicles

1PG scholar, Dept. of Electrical and Electronics Engineering, NSS College of Engineering, Palakkad, India 2Professor, Dept. of Electrical and Electronics Engineering, NSS College of Engineering, Palakkad, India ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract A bidirectional converter is the primary requirement for an EV charger with advanced charging modes like V2G. The commonly used building modules of such a Bidirectional charger comprises an AC/DC converter at the front end and DC/DC converter at the back end both bidirectional and a DC link capacitor in between. The topology of the AC/DC and DC/DC bidirectional converter used varies according to the purpose of converter design. In this article, we try to study a simple topology related to H bridge AC/DC converter and a Bidirectional non isolated buck-boost converter interface. The related control strategy is also presented. Here in this paper an easy to implement model consisting of an H bridge AC/DC converter and a nonisolated buck boost bidirectional converter is analyzed. The AC/DC converter works as a sine PWM Inverter during V2G mode; and as a synchronous rectifier during G2V/Charging mode. The passive elements are designed for efficient converter operation during both V2G and G2V modes. A MATLAB/SIMULINK model has been constructed and analyzed for efficient power flow conditions and battery parameters.
Racism in Singapore

Racism is a prevalent issue around the world. In Singapore, concerns of discrimination against minority racial groups, such as Malays and Indians, have been raised with regards to companies’ employing procedures. However, there have been very little studies done on this issue. We have included relevant studies that support and do not support the claim of presence of racism in Singapore. In addition, we intend to replicate a previous study conducted by Marianne Bertrand and Sendhil Mullainathan (2004) in America by sending fabricated resumes to white-collared industries, such as the law, finance, and real estate firms in Singapore. These firms have been selected to represent jobs that do not require individuals to speak a different language or be of a certain ethnicity. The chosen firms are privatized and not under any current regulations regarding biased employment based on ethnicity. The fabricated resumes, which will use different names to distinguish their race, will be a test to determine whether a person’s employability is affected by their ethnicity.
Organizational Politics with Industrial Relation Managers in Pakistani Organizations A Qualitative Exploratory Study

This qualitative exploratory study explores the real life experience of organizational politics from the frame of mind of industrial relations managers. The data was collected from five industrial relations managers and experts who have more than 10 years of experience in the industrial relation field. The study employed a qualitative research design. Research data was extracted from the open ended questions from the participants. The methodology was based on an inductive approach. It was used to explore experiences, opinions and thoughts of the participants. Data were studied for specific themes and then collected into large groups of ideas that delivered information that maintained the themes. For data analysis pattern matching was used. The study explored that the overall perception of organizational politics is unsupportive in industrial relations practices. 60% participant understand that organizational politics is harmful for the organization because it creates hurdles for management rather than providing relief to the employees. The union leaders are trying to create gaps between Management and the workers. Politics between management and non-management staff leads to road block for an organization.
The importance of Urie Bronfenbrenner’s bioecological theory for early childhood educators and early childhood education

If early childhood educators know and appropriately use just one theory that is relevant to early childhood education, Bronfenbrenner's is the theory for them. As all good teachers know, it is the typically occurring activities in which their children engage, including the interactions that they have with their teachers and their peers inside the classroom and with their friends and family outside the classroom, that are so important for their development. Of course, how those activities occur depends in part on the personal characteristics of all individuals involved: the children, their parents, their friends, and their teachers. Those activities also are heavily influenced by the contexts in which they occur, whether home, child care center, the park, their grandparents' home, or with a child minder or some other type of more informal care. The way in which the children's classroom is organized clearly has an impact on the ways in which the children can engage in activities and interactions. And what happens in one context also influences what goes on in other contexts. Children who arrive at school hungry will engage with their teachers and peers quite differently than will those who arrive well fed; children who come from homes in which parents have time, interest, and energy to invest in them will arrive in school much better prepared than those who do not; children whose language at home is the same as that of the classroom will find interactions much simpler than those for whom this is not the case; children who share the same racial/ethnic background as their peers and teachers will engage differently with them than will children who stand out as being different.
From eSports Data to Game Commentary: Datasets, Models, and Evaluation Metrics

Electronic sports (eSports), the sport competition using video games, has become one of the most popular sporting events now. The eSports audience needs textual commentaries for deeply understanding the games and for eﬃciently retrieving speciﬁc games of their interest. Therefore, in this work, we set up an eSports data-to-text generation task and tackle three fundamental problems: dataset construction, model design, and evaluation metrics. We ﬁrst build a data-to-text dataset containing data records and game commentaries from the a popular eSports game, League of Legends. On this new dataset, we propose a hierarchical model to address diﬃculty in handling long sequences of inputs and outputs with an encoder-decoder model. The hierarchical model sets multi-level encoders for the input data. Besides, we organize and design a new set of evaluation metrics including three aspects to meet this task’s goal. Experimental results on the new datasets conﬁrm that the hierarchical structure improves the performance of the model.
Extended evaluation of the effect of real and simulated masks on face recognition performance

Abstract Face recognition is an essential technology in our daily lives as a contactless and convenient method of accurate identity verification. Processes such as secure login to electronic devices or identity verification at automatic border control gates are increasingly dependent on such technologies. The recent COVID‐19 pandemic has increased the focus on hygienic and contactless identity verification methods. The pandemic has led to the wide use of face masks, essential to keep the pandemic under control. The effect of mask‐wearing on face recognition in a collaborative environment is currently a sensitive yet understudied issue. Recent reports have tackled this by using face images with synthetic mask‐like face occlusions without exclusively assessing how representative they are of real face masks. These issues are addressed by presenting a specifically collected database containing three sessions, each with three different capture instructions, to simulate real use cases. The data are augmented to include previously used synthetic mask occlusions. Further studied is the effect of masked face probes on the behaviour of four face recognition systems—three academic and one commercial. This study evaluates both masked‐to‐non‐masked and masked‐to‐masked face comparisons. In addition, real masks in the database are compared with simulated masks to determine their comparative effects on face recognition performance.
Strengths and Weaknesses of Persona Creation Methods: Guidelines for Novice and Experienced Users and Opportunities for Digital Innovations

Persona is a technique for enhancing user understanding and improving the user-centered design of digital products. Persona creation has traditionally been divided into Qualitative, Quantitative, and Mixed Methods approaches. However, no literature systematically contrasts the strengths and weaknesses of these approaches. We review the literature to map the strengths and weaknesses of these approaches and evaluate the potential of personas for the domain of digital innovation. We provide insights for better creation and use of personas by both researchers and practitioners, especially those that are new to personas, deploying personas in a new domain, or familiar with only one of the persona creation approaches.
Disentangling neural network structure from the weights space

Deep Neural Networks have been used to tackle a wide variety of tasks achieving great performance. However, there is still a lack of knowledge of how the training of these models converge and how weights relate to their properties. In this thesis we investigate the structure of the weight space and try to disentangle its properties. Attention mechanisms are introduced to capture relations among neurons’ weights that help in weight reconstruction, hyper-parameter classification and accuracy prediction. Our approach further has the potential to work with variable input size allowing different network width, depth or even architecture types.
The Simplified Expression of Machine Learning and Multivariate Statistical Analysis Based on the Centering Matrix

In machine learning (ML) algorithms and multivariate statistical analysis (MVA) problems, it is usually necessary to center (zero centered or mean subtraction) the original data. The centering matrix plays an important role in this process. The full consideration and use of its properties may contribute to the speed or stability improvement of some related ML algorithms. Therefore, in this paper, we discussed in detail the properties of the centering matrix, proved some previously known properties, and deduced some new properties. The involved properties mainly consisted of the centering, quadratic form, spectral decomposition, null space, projection, exchangeability, Kronecker square, and so on. Based on this, we explored the simplified expression role of the centering matrix in the principal component analysis (PCA) and regression analysis theory. The results show that the sum of deviation squares which is widely used in regression theory and variance analysis can be expressed by the quadratic form with the centering matrix as the kernel matrix. The ML algorithms introducing the centering matrix can greatly simplify the learning process and improve predictive ability.
Causes, Factors, and Control Measures of Opportunistic Premise Plumbing Pathogens—A Critical Review

This review critically analyses the chemical and physical parameters that influence the occurrence of opportunistic pathogens in the drinking water distribution system, specifically in premise plumbing. A comprehensive literature review reveals significant impacts of water age, disinfectant residual (type and concentration), temperature, pH, and pipe materials. Evidence suggests that there is substantial interplay between these parameters; however, the dynamics of such relationships is yet to be elucidated. There is a correlation between premise plumbing system characteristics, including those featuring water and energy conservation measures, and increased water quality issues and public health concerns. Other interconnected issues exacerbated by high water age, such as disinfectant decay and reduced corrosion control efficiency, deserve closer attention. Some common features and trends in the occurrence of opportunistic pathogens have been identified through a thorough analysis of the available literature. It is proposed that the efforts to reduce or eliminate their incidence might best focus on these common features.
On the Growth of Thin Anodic Oxides Showing Interference Colors on Valve Metals

In atmospheric environment, all metals except Au and Pt are naturally oxidized through a spontaneous process, with the formation of nanometric oxide or hydroxide layer. In the case of passive metals, such film is in the order of ~110 nm and is responsible for corrosion kinetics, as well as of any interaction with the external environment (Fig. 1) [1, 2]. The response of the surface to these interactions, and more generally to external stimuli, depends on the oxide film morphology, degree of crystallinity, thickness and chemical composition. Clearly, the chemical nature of the film strongly influences its features, e.g., changing the oxide character from semiconductive to insulating, or modifying its effectiveness as barrier against corrosion, or switching from a bioinert surface to a bioactive one thanks to an enhanced similarity with surrounding tissues: therefore, different interactions can take place on different metal oxides, leading to a variation in the response to an external stimulus. As a consequence by controlling the artificial formation of an oxide layer on the metal surface it is possible to engineer a wide variety of surface properties [3-8].
Is scal dominance for real? Evidence from Brazils high-frequency data

As Sargent and Wallace argued long ago, monetary policy tightenings may end up stoking inationary pressures in countries with high debt. To assess the empircal relevance of the so-called tight-money paradox, I apply Rigobons identi cation via heterocedasticity methodology (IH) to brazilian data in the short window surrounding Central Banks board meetings. I do not nd evidence of scal dominance: my estimations suggest interest rate tightenings/loosenings have systematically led to lower/higher ination expectations. JEL: E58; E31 Key words: scal dominance, ination expectations
Hospital Reimbursement in the Presence of Cherry Picking and Upcoding

Hospitals throughout the developed world are reimbursed based on diagnosis-related groups (DRGs). Under this scheme, patients are divided into clinically meaningful groups, and hospitals receive a fixed fee per patient episode tied to the patient DRG. The fee is based on the average cost of providing care to patients who belong to the same DRG across all hospitals. This scheme, sometimes referred to as “yardstick competition,” provides incentives for cost reduction, as no hospital wants to operate at a higher cost than average, and can be implemented using accounting data alone. Nevertheless, if costs within a DRG are heterogeneous, this scheme may give rise to cherry-picking incentives, where providers “drop” patients who are more expensive to treat than average. To address this problem, regulators have tried to reduce within-DRG cost heterogeneity by expanding the number of DRG classes. In this paper, we show that even if cost heterogeneity is eliminated, such expansion will fail to completely eliminate patient cherry picking. In equilibrium, the market will bifurcate into two groups, one of which will continue to cherry-pick patients and underinvest in cost reduction, whereas the other group treats all patients. Furthermore, we show that DRG expansion is particularly problematic if hospitals are also able to “upcode” patients, that is, intentionally assign patients to a more resource-intensive DRG than needed to increase income. Upcoding increases within-DRG cost heterogeneity and amplifies cherry-picking incentives. We examine potential solutions involving yardstick competition based on input statistics. This paper was accepted by Carri Chan, healthcare management. Supplemental Material: The online appendices are available at https://doi.org/10.1287/mnsc.2023. 4752 .