Miracle-dz/UniFAR-FTUs huggingface dataset:
Computed Tomographic Characterisation of Large Abdominal Mass-A Hospital Based Descriptive Study

1 Associate Professor, Department of Radio Diagnosis, Rajah Muthiah Medical College, Annamalai Nagar, Chidambaram, Tamilnadu, India 2 Resident, Department of Radio Diagnosis, Rajah Muthiah Medical College, Annamalai Nagar, Chidambaram, Tamilnadu, India 3 Professor and Head, Department of Radio Diagnosis, Rajah Muthiah Medical College, Annamalai Nagar, Chidambaram, Tamilnadu, India *Corresponding Author Dr Pradeep Vel M Resident, Department of Radio Diagnosis, Rajah Muthiah Medical College, Annamalai Nagar, Chidambaram, Tamilnadu, India.608002 Email: pradeepmvel@gmail.com Abstract Introduction: Patients presenting with a large abdominal mass are to be investigated judiciously and accurate diagnosis is always needed for surgical or medical treatment planning. With newer technological innovations and thinner slice fast imaging by MSCT/MDCT, the confidence level of the radiologist is further improved in diagnosis. Aim: To assess the efficacy of the Computed Tomography in assessing the lesion and to analyze its ability to characterize the lesions by imaging and predict its benign or malignant nature. Materials and Methods: Prospective study of 410 patients subjected to CT with a clinical diagnosis of large intra abdominal mass was done. The study was carried over a period of 18 months at our institute. All data were recorded and analysed. Results: Out of 26 cases included in our study after applying exclusion criteria, it is observed female [70%] preponderance over men [30%] and ovarian mass lesions 46% and peritoneal/Mesenteric mass lesions [23%] were the leading causes. uterine [7.6%], Gastro intestinal[7.6%], Hepatic [3.8%], Pancreatic [3.8%] and Gall bladder lesions form the rest of our study. CT characteristic features of all encountered lesions were comparable with various previous studies. Conclusion: Though, Conventional ultrasonography is the primary screening tool for patients with a large abdominal mass, for accurate and confident diagnosis, the role of CT in further characterizing the lesion is needed for the clinician for further treatment and it also serves a roadmap if surgery is contemplated.
Theory and Applications for the R Package IncDTW

Dynamic Time Warping (DTW) is a popular distance measure for time series analysis and has been applied in many research domains. This paper proposes the R package IncDTW for the incremental calculation of DTW, and based on this principle IncDTW also helps to classify or cluster time series, or perform subsequence matching and k-Nearest Neighbor search. DTW can measure dissimilarity between two temporal sequences which may vary in speed, with a major downside of high computational costs. Especially for analyzing live data streams, subsequence matching or calculating pairwise distance matrices, runtime intensive computations are unfavorable or can even make the analysis intractable. IncDTW tackles this problem by the following contributions: (1) Vector-based implementation of the DTW algorithm to reduce the space complexity from a quadratic to a linear level in number of observations, (2) incremental calculation of DTW for updating interim results to reduce the runtime complexity (3) parallelization and (4) transferring the most intensive computations to C++. We discuss the fundamental functionalities of IncDTW and apply the package to classify multivariate live stream accelerometer time series for activity recognition. Finally, runtime experiments with various R and Python packages for various data analysis tasks emphasize the broad applicability of IncDTW.
New Algorithms for Continuous Distributed Constraint Optimization Problems

Distributed Constraint Optimization Problems (DCOPs) are a powerful tool to model multi-agent coordination problems that are distributed by nature. The formulation is suitable for problems where variables are discrete and constraint utilities are represented in tabular form. However, many real-world applications have variables that are continuous and tabular forms thus cannot accurately represent constraint utilities. To overcome this limitation, researchers have proposed the Continuous DCOP (C-DCOP) model, which are DCOPs with continuous variables. But existing approaches usually come with some restrictions on the form of constraint utilities and are without quality guarantees. Therefore, in this paper, we ( i ) propose an exact algorithm to solve a specific subclass of C-DCOPs; ( ii ) pro-pose an approximation method with quality guarantees to solve general C-DCOPs; ( iii ) propose additional C-DCOP algorithms that are more scalable; and ( iv ) empirically show that our algorithms out-perform existing state-of-the-art C-DCOP algorithms when given the same communication limitations.
Input Cumulative Cryptosystem for Scalable Information Contribution in Cloud

: In Cloud computing, data storing and sharing is a capable methodology. This study illuminates secure, powerful, and versatile system to give data to different people in Cloud storage structure. This review, depict novel open key cryptosystems. This structure create relentless size figure messages such that compelling assignment of unraveling rights for any course of action of figure works are possible. This improvement arrangement can add up to any course of action of riddle keys and make them as a decreased single key . The power of the significant number of keys being gathered in a lone key. Toward the day's end, holder of the key can release a predictable size aggregate key for versatile choices of figure substance set in Cloud storing . In this arrangement other encoded records outside the figure substance set stay mystery. The aggregate key can be suitably sent to others or be secured in a smart card with incredibly obliged secure storage. Distributed computing advancement is for the most part used so that the data can be outsourced on cloud can got to easily. Particular people can share that data through various virtual machines yet appear on single physical machine.
Takeover Defenses: Promoting Entrenchment and Efficiency

Takeover defenses have long been viewed as detrimental to firm performance. They can lead to managerial entrenchment and the associated ills of shirking, empire building and enjoying perks. However, takeover protections can also help managers make long-term oriented choices by reducing their focus on shorter term firm and price performance. In this study we find that firms that use takeover defenses to create long-term value not only perform better than those that misuse takeover protection (to enjoy a quiet life or empire build) but also do better than firms that do not have takeover protection (and face short-term pressures). Further, in examining mechanisms that cause the outperformance, we find that the R&D productivity of R&D intensive firms with high takeover protection is greater than the productivity of R&D intensive firms with low takeover protection, suggesting greater investment efficiency. The views expressed are those of the authors and do not necessarily represent those of the Comptroller of the Currency.
Analysing the Impact of the EBA Initiative Using a Gravity Model

This paper assesses the effectiveness of the Everything But Arms (EBA) initiative launched by the EU in 2001. It evaluates whether EBA has been effective in increasing exports from LDCs to the EU. The study considers the period 1995-2006. After arguing that the impact of trade preferences should be estimated by using disaggregated trade flows rather than aggregated trade, the analysis is carried out by considering five products (cloves, coffee, crustaceans, molluscs and vanilla beans) which meet three criteria relating to the export intensity of LDCs, the actual preferences of EBA and the intra-year distribution of EU tariffs. Furthermore, the export share of the 5-selected goods with respect to national exports is never marginal and, in many cases, is higher than 60%. From an econometric perspective, we improve the reliability of results by giving great attention to the econometric setting and to measurement of the preferential treatment. The evidence differs from one product to another and this supports the decision to work using disaggregated data because it allows us to gauge the sector specificities which would be hidden when analysing total trade. Results show a positive impact on the exports of crustaceans and vanilla of the preferential treatment granted by the EU under EBA, whereas the evidence is unconclusive when considering the other three products. JEL codes: O50, O19; F13; C33
Comparaison de décompositions de la matrice homographique et essentielle pour l'estimation du mouvement de caméra

Dans le but d'ameliorer un systeme d'odometrie visuelle, base sur la decomposition d'une matrice d'homographie, l'utilisation de la geometrie epipolaire est envisagee. Elle presente l'avantage d'utiliser l'information 3D presente dans la scene. On se propose de comparer l'estimation de la transformation rigide liant deux positions de cameras, a partir de la decomposition de la matrice d'homographie et de la matrice essentielle. La comparaison est realisee sur des scenes simulees correspondant a des cas potentiellement rencontres par un vehicule terrestre, ainsi que sur des images reelles. On evalue la precision de l'estimation sur la composante de translation et rotation de la transformation. La precision est dans tous les cas au moins aussi bonne et la robustesse est amelioree en utilisant la matrice essentielle.
Thermal and Mineralogical Investigation of Copper Converter Slag

In recent years, secondary resources (slags, scraps, etc.) have become a very important source for all valuable metals like copper or zinc due to the depletion of high grade ores and increasing the demand of these metals. Copper is lost to slag between 4 and 8 wt. % during the copper converting process stage. Beside its theoretical consideration, characterization of the slag should be investigated to maximize the copper recovery via selection of suitable metallurgical process. Therefore, in this study, physical, chemical, mineralogical and thermal properties of the converter slag supplied from Eti Copper Co. was determined in detail by using several common techniques. Keywords—Converter Slag; Characterization; Thermal Analysis.
Future Energy Systems and Sustainable Emission Control: Africa in Perspective

The authors of this paper propose strategies and discuss innovations, beyond regulatory policies that will drive future energy systems for Africa, as a way of mitigating climate change and improving energy conservation. The shared effort towards the reduction of Greenhouse Gasses (GHG) during manufacturing and other industrial service operations while trying to meet the global carbon-footprint must conform to specific standards and initiatives, and will also require the optimum use of renewable resources, energy efficient practices, systems, and materials. The global agenda for a sustainable green future from the African perspective is developed annually at the African Carbon Forum (ACF). This exploratory study focuses on the issues raised at the ACF, and the contentions used to draw inferences about the most strategic approach to tackle anthropogenic effects, and temperature rise above 2 ̊C. Intergovernmental policies on energy management and collaborations on sustainable technologies are critical for achieving the green future. The authors, however, argue that fossil fuel will continue to play an integral part to meet commercial energy demands, at the same time, leveraging on renewables and energy efficiency optimization would facilitate a robust, cost-effective transformation that will bring about a secure and sustainable power sector in a decarbonized ecosystem -Africa.
Green Supply Chain Management and Sustainable Industrial Practices: Bridging the Gap

Recent prevalence in production and operations management to transform various industrial processes using cloud innovation, Radio Frequency Identifiers (RFID), and sensor technologies, to achieve green supply chain while meeting consumers’ expectations receives appraisal over conventional methods. The new paradigm of energy efficiency and emission control initiative, and the expectations of businesses to engage in sustainable practices to compete favorably in the emerging fourth industrial revolution, fueled by the internet of things and its applications to drive industrial operations in the future – Industrial Internet of Things (IIoT) cannot be overemphasized. In this paper, the authors discuss technological approach, benefits, and barriers towards achieving the Green Supply Chain Management (GSCM) as a sustainable precursor. The focus is on consumers’ tendency to influence the market mix and a company’s desire to meet customers’ satisfaction. Hence, the interplay of technology, its improvement, and applications receive insights. We evaluate measures which are practicable in a general industrial perspective, capable of reducing anthropogenic effects while increasing productivity. The researchers juxtapose the changing trend of technology and infer that businesses must become conscious of environmental impacts and use information technology and energy conservative techniques to remain relevant in the future.
The Impact Of Cafe Employee Service And Other Elements On Consumer Behaviour

Nowadays, a cafe is labelled as a "third‖ or "public‖ place to host regular, volunteer and informal meetings of individuals outside of their home and work because of lifestyle changes. Retailers now choose to highlight their store atmosphere to get ahead in this tough industry. Past studies found that employee service significantly increases positive behaviour in the café environment. As a consequence, retailers are trying to update their café’s decoration so that it can be used as a spot for customers to do their work while having their meal. This study attempts to investigate how various factors in the café environment impact consumer behaviour. The patrons of cafes in Selangor were selected using purposive sampling technique as the respondents of this study. 320 questionnaires were collected and the Partial Least Square technique was used to analyze the data collected. The findings show that the two factors related to the café environment, which are café design and café cleanliness significantly influence consumer behaviour. The results also indicated that café employee service has a significant positive influence on consumer behaviour. This study has further explored the implications of these findings.
RETRACTED: A Smart Social Insurance Big Data Analytics Framework Based on Machine Learning Algorithms

Abstract Social insurance is an individual’s protection against risks such as retirement, death or disability. Big data mining and analytics are a way that could help the insurers and the actuaries to get the optimal decision for the insured individuals. Dependently, this paper proposes a novel analytic framework for Egyptian Social insurance big data. NOSI’s data contains data, which need some pre-processing methods after extraction like replacing missing values, standardization and outlier/extreme data. The paper also presents using some mining methods, such as clustering and classification algorithms on the Egyptian social insurance dataset through an experiment. In clustering, we used K-means clustering and the result showed a silhouette score 0.138 with two clusters in the dataset features. In classification, we used the Support Vector Machine (SVM) classifier and classification results showed a high accuracy percentage of 94%.
UNDERSTANDING THE STRENGTH OF CONCRETE BY REPLACING GLASS POWDER AGAINST SULPHATE ATTACK

To Study the resistance of concrete containing glass powder against sulphate attack In order to reduce waste age ofdamaged glass sheets and sheet glass cuttings are using in concrete is an interesting possibility for economy on waste disposal sites and conservation of environmental. Today many researchers are ongoing into the use of ordinary Portland cement replacements, using many waste materials like flyash,silica fume, waste glass powder are also used as a binder with partial replacement of cement while take sum part of reaction at the time of hydration, also it is act as a filler material. Concrete produced by replacing ordinary Portland Cement (OPC) 53 grade cement with waste glass powder (GP) in different proportions has been studied.OPC 53 grade Cement replacement by glass powder in the range 5% to 25% in increments of 5 percentages has been studied and conducted compressive strength (cube) for 7 days and 28 days. It is concluded that without sulphate and with sulphate are having higher strength and maximum resistance was obtained when 20% cement was replaced by waste glass.
Letter to the Editor: A. Probst, N. Reimers, A. Hecht, R. Langenhan: Geriatrische proximale Femurfraktur und Harnwegsinfekt – Überlegungen zur perioperativen Infektionsprophylaxe

DemAufruf von Probst et al. [1] zur Diskussion kommen wir gern nach. Bei proximalen Femurfrakturen (PFF) wird zur Vermeidung allgemeiner Komplikationen und erhöhter Mortalität wie auch im Hinblick auf erfolgreiche Rehabilitation ein früher OP-Zeitpunkt empfohlen und eine präoperative Verweildauer über 48 Stunden selbst bei Schwerstkranken als kritisch erachtet [3, 4]. Verzögerungsursachen sind patientenbezogen oder logistisch [11]. Aus unserer Sicht ist es richtig, bei patientenbezogenen Faktoren nicht um jeden Preis eine Verkürzung der präoperativen Liegezeit anzustreben, sondern auf eine optimale Vorbereitung zu achten, selbst wenn sich die präoperative Verweildauer über 48 Stunden verlängert (Bsp. Gerinnungssituation bei neuen oralen Antikoagulanzien [7,11]). Probst et al. erörtern, ob ein „Urin-Screening“ gerechtfertigt ist, um daraus Konsequenzen hinsichtlich potenzieller Implantatbzw. Protheseninfektionen und ggf. verlängerter präoperativer Verweildauer abzuleiten. Sie zeigen zunächst retrospektiv bei ihren Implantatinfektionen (1,9%, 42/2161 Patienten) eine Verschiebung des Erregerspektrums von Staphylococcus aureus (2005–2009) zu S. epidermidis und Enterococcus spp. (2010–2014). Untersuchungen im Zusammenhang mit einer Bakteriurie erfolgten nicht. Prospektiv (09/12–11/15) zeigen sie, dass 36% (125/351) ihrer Patienten mit PFF zum Zeitpunkt der Krankenhauseinweisung eine Bakteriurie aufwiesen. Es überwog Escherichia coli als Einzelkeim (79/125), S. aureus war ausgesprochen selten (1/125 als Einzelkeim, 1/125 im Rahmen einer Mischinfektion). Von den Patienten mit Bakteriurie hatten 47% (59/ 125) eine Leukozyturie und einen positiven Nitritwert, was von den Autoren als (laborchemisch) symptomatische Harnwegsinfektion (HWI) gewertet wurde. Die Autoren stellen zur Diskussion, hinsichtlich des OP-Zeitpunkts präoperative HWI zu berücksichtigen, um das Risiko einer tiefen Wundinfektion mit Prothesen-/Implantatinfektion durch eine floride HWI gering zu
2015 ACC/AHA/HRS guideline for the management of adult patients with supraventricular tachycardia: Executive summary A on Clinical and the Society

of Evidence: C-LD) are useful for identifying patients at low risk of developing rapid conduction over the pathway. I B-NR 2. An EP study is useful in symptomatic patients with pre-excitation to risk-stratify for life-threatening arrhythmic events. 165,167,203 – 205
A call for responsible innovation in mobile mental health:Findings from a content analysis and ethical review of the depression app marketplace

Mobile mental health presents many ethical challenges in the wild. These ethical issues and associated values were explored through a content analysis and ethical review of the depression app marketplace. App search and data collection was performed in Google Play Store (UK) and Apple iTunes (UK) between October to November 2018. Iterative data extraction and coding of ethical variables and values were conducted prior to synthetization of issues and themes. Search found 353 unique apps for depression. Analysis uncovered a range of ethical issues including: limited evidence of intervention validity, fidelity, and outcomes; insufficient safeguarding and duty of care; non-multisector development teams; lack of independent certification and regulation; lack of information and transparency for informed user choices; and concerns with privacy, confidentiality, and user permissions. These findings highlighted the presence and absence of ethical values in apps for depression, with most apps failing to reflect many key values. Our findings suggest a need for greater ethical value sensitive design in mobile mental health. This is challenging given the field’s multidisciplinarity and value conflicts. We encourage designers to adopt a responsible innovation approach to creating technologies that meet these ethical demands.
Coronary Heart Disease Prevalence, Distribution, Predictors, and Outcomes of Patients With Calcified Nodules in Native Coronary Arteries

Background—Pathological studies suggest that calcified coronary nodules are a rare cause of thrombotic events. The frequency, distribution, predictors, and outcomes of calcified nodules have never been described. Methods and Results—After successful stenting in 697 patients (167 female; median age, 58.1 years) with acute coronary syndromes, 3-vessel gray-scale and virtual histology intravascular ultrasound was performed in the proximal-mid segments of all 3 coronary arteries as part of a prospective, multicenter study. On the basis of recent histological validation, an independent core laboratory identified calcified nodules as distinct calcification with an irregular, protruding, and convex luminal surface. Patients were followed up for 3 years (median). Overall, 314 calcified nodules were detected in 250 of 1573 analyzable arteries (185 of 623 patients). Thus, the prevalence of calcified nodules was 17% per artery and 30% per patient. Two or more calcified nodules were detected in 48 coronary arteries (3%) in 76 patients (12%). The calcified nodules were located 40 mm from the ostium of the coronary artery in 85% of left anterior descending arteries and 86% of left circumflex arteries, whereas calcified nodules within the right coronary arteries were evenly and more distally distributed. Patients with calcified nodules were significantly older and had more plaque volume, more thick-cap fibroatheroma, but fewer nonculprit lesion major adverse events on follow-up. Conclusions—Calcified nodules in untreated nonculprit coronary segments in patients with acute coronary syndromes were more prevalent than previously recognized. Although their distribution mirrored the origin of most thrombotic events, calcified nodules caused fewer major adverse events during 3 years of follow-up. (Circulation. 2012;126:537-545.)
Post-quantum WireGuard

In this paper we present PQ-WireGuard, a post-quantum variant of the handshake in the WireGuard VPN protocol (NDSS 2017). Unlike most previous work on post-quantum security for real-world protocols, this variant does not only consider post-quantum confidentiality (or forward secrecy) but also post-quantum authentication. To achieve this, we replace the Diffie-Hellman-based handshake by a more generic approach only using key-encapsulation mechanisms (KEMs). We establish security of PQ-WireGuard, adapting the security proofs for WireGuard in the symbolic model and in the standard model to our construction. We then instantiate this generic construction with concrete post-quantum secure KEMs, which we carefully select to achieve high security and speed. We demonstrate competitiveness of PQ-WireGuard presenting extensive bench-marking results comparing to widely deployed VPN solutions.