bluuebunny/crossref_metadata_2025_split huggingface dataset:
FUNCTIONAL OUTCOME OF ISOLATED MEDIAL FEMORAL CONDYLE FRACTURES MANAGED WITH PLATE OSTEOSYNTHESIS - A CASE SERIES
Authors: Choudhary Pradeep , Saxena Medhavi , Jain Hemant , Bharwani Nandlal , Bhati Mahesh 
Published: June 2023

Purpose: Isolated medial condyle fractures of femur with metaphyseal extension are a rare type of injury around knee joint. Most common mode of injury is high-energy trauma (road traffic accident, fall from height, sports injury) and is commonly seen in younger age group. Is open reduction and internal fixation with locking plates is the treatment of choice for sagittal plane medial femur condyle fractures with metaphseal extension? Methods: We conducted a prospective study from 1st January 2018 to 31st December 2021 including 12 patients (seven males and five females) with isolated medial femur condyle fractures (AO 33B2.1). In our study, open reduction and internal fixation was performed with medial femur plates or T-buttress plates in all 12 cases. At final follow-up, functional outcome was evaluated using ‘functional criteria’, ‘IKS knee and function score’ and radiological assessment. Results: At final follow-up, out of 12 patients, 11 had excellent to good outcome according to ‘Kolmert Functional score’ and ‘IKS knee and function score’ were 83.33 and 78.33. At final follow-up, one out of twelve patients had extensor lag of 10 and flexion around 90. Conclusion: Isolated fractures of medial condyle with metaphyseal extension have good outcome in terms of function if proper anatomical reduction is achieved and supplemented with locking plates.
ANALYSIS OF ONE-DIMENSIONAL NON-NEWTONIAN MODELS FOR SIMULATION OF BLOOD FLOW IN ARTERIES
Authors: KRIVOVICHEV GERASIM V. 
Published: June 2023

The paper is devoted to the theoretical analysis of one-dimensional (1D) models of blood flow. The non-Newtonian nature of blood is taken into account. The generalized Newtonian models, in which the dynamic viscosity is dependent only on the shear rate, are considered. The models are constructed by averaging the simplified Navier–Stokes system in cylindrical coordinates. The 1D models, corresponding to Newtonian, Power Law, Carreau, Carreau–Yasuda, Cross, Simplified Cross, Yeleswarapu, Modified Yeleswarapu, and Quemada models, are compared in this paper. The comparison is performed in order to estimate the influence of non-Newtonian frictional terms, velocity profiles and hematocrit values on the deviations of the solutions from the solution for the Newtonian case. For this purpose, two problems that can be solved analytically are considered: problems for the infinite interval and finite interval with periodic conditions. For the quantitative comparison of solutions, the non-Newtonian factor, which characterizes the relative deviations of solutions from the solution for the Newtonian model, is introduced. The analytical solutions of nonlinear problems are obtained by the perturbation method. As it is demonstrated for both solved problems, the relative deviations increase with the flattening of the velocity profile. For the models that depended on hematocrit, the non-Newtonian factor values increased with the increase in hematocrit value. The solutions obtained in the paper can be used as a tool for the comparison of different 1D models of blood flow and for the testing of programs that implement numerical algorithms.
Optimization of an inset-fed calculations for rectangular microstrip antenna
Authors: Dase Sulwan , Razak Irawati 
Published: June 2023

This paper offers an alternative solution to produce a formula to calculate the inset-fed (y0) feed distance from the edge of the patch in order to obtain the impedance of a rectangular patch microstrip antenna as close to 50 Ohm as possible. The basic calculation refers to Ramesh's calculation formula to calculate the inset-fed (y0) on a rectangular patch microstrip antenna. From this research it is hoped that a number of correction factors will be obtained which will be multiplied by the Ramesh formula in order to obtain an inset-fed calculation which results in a lower return loss (S11) and voltage standing wave ratio (VSWR). From several calculation attempts, the approximate value for the correction factor is s=0.83477. This s correction factor is then multiplied by Ramesh's calculation formula. In this experiment, a microstrip antenna was simulated using an FR4 epoxy printed circuit board (PCB) with a relative permittivity, εr= 4.4, with a thickness of h=1.6 mm. The specified antenna nominal input impedance is 50 Ohms. The transmission line used is a microstrip line with a characteristic impedance of 50 Ohm. The test method used is to compare the results of simulation calculations using the Ramesh formula with the results of simulation calculations using the Ramesh formula multiplied by the correction factor. Tests are carried out using varying working frequencies. From the experimental results it can be seen that the average Return Loss (S11) and VSWR of the antenna are lower when using the Ramesh formula with a correction factor compared to the original Ramesh formula.
Classification techniques using gray level co-occurrence matrix features for the detection of lung cancer using computed tomography imaging
Authors: Chikkalingaiah Shankara , Rao Hari Prasad Subbarao Anantha Padmanabha , Uggregowda Latha Dabbegatta 
Published: June 2023

<span lang="EN-US">Lung cancer, which causes the majority of fatalities worldwide each year, is one of the deadliest diseases. The survival rate of cancer patients could be improved with better cancer detection methods. Image processing and machine learning have both been used to aid in lung cancer detection, but a method that both increase accuracy and increases a patient’s survival rate has yet to be identified. In an effort to find the most effective method for the accurate lung cancer recognition, this paper analyses and compares several classification algorithms. Lung computed tomography (CT) images are enhanced by removing noise using a median filter. For filtered image, threshold segmentation is used to segment it into distinct parts. From the segmented image different features are extracted using the grey level co-occurrence matrix (GLCM). several classification strategies, including support vector machine (SVM), random forest (RF), k-nearest neighbor (KNN), and decision tree (DT) methods, are used to classify lung images as malignant or normal based on the extracted features. Methods are evaluated based on a number of various performance measures, like accuracy, a precision, the recall, and the F1-Score. Based on the experimental outcomes, SVM outperforms other classification methods in accurately detecting lung cancer with an accuracy of 99.32%.</span>
Analysis of the learning object-oriented programming factors
Authors: Batiha Qais Ali , Abd Majid Nazatul Aini , Sahari Noraidah , Ali Noorazean Mohd 
Published: June 2023

<span lang="EN-US">Students often feel overwhelmed by object-oriented programming courses. They find it difficult and complex to learn, requiring a high cognitive load to use the concepts in coding. These issues lead to demotivation in learning programming. This research aims to identify and verify factors that contribute to learning object-oriented programming from two perspectives: interviews and surveys. A literature review was conducted to identify these factors, followed by interviews with five experts who have been teaching object-oriented programming for over ten years to confirm them. Based on the interview results, a questionnaire was developed and administered to 31 bachelor students and 19 lecturers with master’s or doctorate degrees in computer science. The responses indicated that the identified factors were acceptable, with scores ranging from 3.74 to 4.65. The outcomes of this study are a set of factors that should be considered in a programming environment to improve the teaching and learning of object-oriented programming and make it more accessible and engaging for students.</span>
Analysis and prediction of seed quality using machine learning
Authors: Srinivasaiah Raghavendra , Meenakshi Meenakshi , Chennegowda Ravikumar Hodikehosalli , Jankatti Santosh Kumar 
Published: June 2023

<span lang="EN-US">The mainstay of the economy has always been agriculture, and the majority of tasks are still carried out without the use of modern technology. Currently, the ability of human intelligence to forecast seed quality is used. Because it lacks a validation method, the existing seed prediction analysis is ineffective. Here, we have tried to create a prediction model that uses machine learning algorithms to forecast seed quality, leading to high crop yield and high-quality harvests. For precise seed categorization, this model was created using convolutional neural networks and trained using the seed dataset. Using data that can be used to forecast the future, this model is used to learn about whether the seeds are of premium quality, standard quality, or regular quality. While testing data are employed in the algorithm’s predictive analytics, training data and validation data are used for categorization reasons. Thus, by examining the training accuracy of the convolution neural network (CNN) model and the prediction accuracy of the algorithm, the project’s primary goal is to develop the best method for the more accurate prediction of seed quality.</span>
This Past Must Address Its Future: Uses of African Noncontemporaneity in Contemporary Art from the French Borderscape
Authors: Bajorek Jennifer 
Published: June 2023

Abstract
In the last two decades, key sites in the European borderscape—the “jungle” of Calais, the dense patchwork of settlements around Melilla and Ceuta, myriad migrant or refugee camps along Europe's Mediterranean coastline and in the major train stations of its capital cities—have become art factories. In these spaces, artists from a range of backgrounds are making new work, much of which seeks to challenge the exoticist and primitivizing tropes that, in Europe, have characterized the representation of im/migrant presences at least since the official colonial period. Among the most conspicuous and intractable of these tropes have been those connected with the representation of Africa and Africans in the European borderscape. This essay explores a handful of particular strategies used by artists working in and around the French borderscape and speculates about their consequences for thinking about both contemporary art and contemporary politics.
Art, Signs, and Cultures: Iba Ndiaye and Jean Laude in Conversation with Roger Pillaudin
Authors: Ndiaye Iba , Laude Jean 
Published: June 2023

Abstract
This document, translated from the original French, is an edited transcript of a conversation between the Senegalese painter Iba Ndiaye, the French art historian Jean Laude, and a moderator, Roger Pillaudin. It took place on the occasion of the Festival des arts et cultures africaines in Royan, France (March 1977), and was later broadcast on the radio channel France Culture. What stands out in the conversation is the way Laude seeks to negate Ndiaye's cross-cultural experience and background, and arguably his very legitimacy as a contemporary artist. Laude's insistence on adhering to neat categories (linguistic, national, artistic) in engaging with Ndiaye, coupled with Ndiaye's steady defiance of these categories, point to broader tensions between structuralism and area studies, on the one hand, and poststructuralism and postcolonial studies, on the other. The conversation also invites careful scrutiny of the problem of Eurocentrism, in the sense that Laude's structuralist position is in fact anti-Eurocentric: colonialism is condemned for destroying local traditions, which are in turn revered at the expense of allegedly derivative expressions emerging from the same societies. Ndiaye nevertheless holds his own against Laude's aggressive paternalism, and manages to call into question a number of the art historian's assumptions around the perceived axes and obligations of artistic identity.
Art History, Postcolonialism, and the Global Turn
Authors: Cohen Joshua I. , Torshizi Foad , Zamindar Vazira 
Published: June 2023

Abstract
When taken as a conglomerate, the postcolonial, the global, and the decolonial might signal a coordinated “decolonizing” action—one of breaking with the Eurocentric, patriarchal, and nationalist foundations of art history. Yet from a disaggregating perspective, these three terms and their respective domains cannot be seen as synonymous or entirely harmonious. What particularly demands scrutiny is the tendency to dismiss the postcolonial, or announce its demise, by claiming it has been superseded by other paradigms, namely the global and the decolonial. This introductory essay, and its accompanying special issue of ARTMargins, seeks to trace the postcolonial, global, and decolonial as they have intersected with scholarship in art history over the past five decades, and to challenge postcolonialism's presumed obsolescence in the wake of the global turn. Postcolonial thought, we argue, has given rise to a generative series of critical interventions in art history at least since the 1970s and 1980s, and has proven to be nuanced and self-reflexive. Postcolonial lines of inquiry not only continue to offer ways of critically exploring colonial-era and subsequent artistic practices, but also allow for interrogations of formations of art and the discipline of art history as colonial forms of knowledge. As such, postcolonialism still vitalizes debates within the discipline regarding the constitution of its own objects, lineaments, and methods.
Questions Are All You Need to Train a Dense Passage Retriever
Authors: Sachan Devendra Singh , Lewis Mike , Yogatama Dani , Zettlemoyer Luke , Pineau Joelle , Zaheer Manzil 
Published: June 2023

Abstract
We introduce ART, a new corpus-level autoencoding approach for training dense retrieval models that does not require any labeled training data. Dense retrieval is a central challenge for open-domain tasks, such as Open QA, where state-of-the-art methods typically require large supervised datasets with custom hard-negative mining and denoising of positive examples. ART, in contrast, only requires access to unpaired inputs and outputs (e.g., questions and potential answer passages). It uses a new passage-retrieval autoencoding scheme, where (1) an input question is used to retrieve a set of evidence passages, and (2) the passages are then used to compute the probability of reconstructing the original question. Training for retrieval based on question reconstruction enables effective unsupervised learning of both passage and question encoders, which can be later incorporated into complete Open QA systems without any further finetuning. Extensive experiments demonstrate that ART obtains state-of-the-art results on multiple QA retrieval benchmarks with only generic initialization from a pre-trained language model, removing the need for labeled data and task-specific losses.1
Our code and model checkpoints are available at: https://github.com/DevSinghSachan/art.
Visual Spatial Reasoning
Authors: Liu Fangyu , Emerson Guy , Collier Nigel 
Published: June 2023

Abstract
Spatial relations are a basic part of human cognition. However, they are expressed in natural language in a variety of ways, and previous work has suggested that current vision-and-language models (VLMs) struggle to capture relational information. In this paper, we present Visual Spatial Reasoning (VSR), a dataset containing more than 10k natural text-image pairs with 66 types of spatial relations in English (e.g., under, in front of, facing). While using a seemingly simple annotation format, we show how the dataset includes challenging linguistic phenomena, such as varying reference frames. We demonstrate a large gap between human and model performance: The human ceiling is above 95%, while state-of-the-art models only achieve around 70%. We observe that VLMs’ by-relation performances have little correlation with the number of training examples and the tested models are in general incapable of recognising relations concerning the orientations of objects.1
History of Sub-Saharan Africa’s Long Journey towards Economic Emancipation
Authors: Simuziya Nsama Jonathan 
Published: June 2023

Abstract
The history of the African Growth and Opportunity Act (AGOA) i.e., the trade partnership between the US and sub-Saharan African states indicates that the initial Clinton Administration blueprint for this venture was to operate for eight years, from 2000 to 2008. However, in 2004 George Bush, the incoming US president, pushed the AGOA mandate to 2015. Before the AGOA order could expire, its mandate was again extended to 2025 by then US president Barack Obama. This study argues that the lofty ambitions inscribed in the design of AGOA seem not to have lived up to their billing. The study finds that the theoretical win-win proposition that was envisioned does not appear to have yielded the desired economic results for sub-Saharan states mainly because the enterprise is likely a one-sided trade deal in favour of the US. Data for this study was gathered from qualitative and quantitative sources. The study concludes that given the pattern of the US engagements with sub-Saharan Africa, which seems only focused on advancing US national interests, the sub-Saharan region needs to devise alternative trade partnerships if its economy is to grow. The study recommends that sub-Saharan Africa focuses on intra-Africa trade. Alternatively, it should strengthen development cooperation with emerging markets such as the BRICS (Brazil, Russia, India, China, and South Africa).
The Overseer of Linen (jmj-r sšrw) in the Old Kingdom
Authors: Sánchez-Casado Raúl , Ortiz-García Jónatan 
Published: June 2023

Abstract
This paper focuses on the figure of the overseer of linen (jmj-r sšrw) during the chronological period of the Old Kingdom. By choosing a wide selection of sources, we have undertaken the reconstruction of the main features that defined this title, looking in-depth at the specific roles associated with it and the contexts in which they were exercised. The nature of the sources has meant that we have taken a mainly iconographic approach, which, combined with textual and archaeological analysis, has allowed us to get the most out of the evidence available. Thus, the jmj-r sšrw is revealed as an essential character in the Old Kingdom household, overseeing the supply, storage, and distribution of linen within the estate. Additionally, the supervision of a product that is key for the well-being of the deceased in the netherworld granted the jmj-r sšrw an important role in the funerary cult of their deceased master, who aimed to ensure his eternal supply of linen.
Another Look at the Gendered Constitution of the Laws of War
Authors: Mégret Frédéric 
Published: June 2023

Abstract
This article argues that the gendered constitution of the regulation of war runs even deeper than typically understood. Instead of merely the laws of war’s internal categories being gendered, it is the entire apparatus of war’s regulation as expressed in various versions of its denomination that manifests different shades of gender. Specifically, the article shows how the laws of war emerged as the hegemonic masculine synthesis between different conceptions of manhood, from the most unconstrained to the most chivalrous. As that compromise has been challenged by more ‘feminine’ approaches, this has triggered repeated reassertions of the regulation of war’s inherently masculine character. The article speculates about the staying power of the masculine script of war through law at the intersection of misogyny, racism and the politics of legal expertise. It concludes by reflecting on what it might mean to transcend the implicit heteronormativity of the regulation of war by queering its categories.
Studies on soil physico-chemical properties and biochemical composition of selected vegetables collected from locally irrigated farmland with municipal wastewater in Minna, Niger State, Nigeria
Authors: Gado Aishatu A. , Salihu Ibrahim A. , Audu Muhammad A.I. , Abubakar Alhaji L. , Daudu Yusuf O.A. , Salihu Muhammad A. 
Published: June 2023

Abstract
Vegetables have become an indispensable part of human nutrition. This study aimed at analyzing the biochemical compositions of three leafy vegetables (Corchuorus olitorius, Telfairia occidentalis and Spinacia oleracea) collected from local farm irrigated with municipal wastewater. The biochemical parameters were assayed following standard laboratory protocols. Results revealed significantly (P < 0.05) higher Ca (207.33 mg/kg) and Mg (182.53 mg/kg) contents in wastewater with Mg contents in both clean water (72.80 mg/kg) and wastewater (182.53 mg/kg) exceeding the FAO safe limits. The wastewater had significantly (P < 0.05) higher (Fe) and (Cd) contents (1.72 and 0.42 mg/kg), than clean water from the modern farm (0.67 and 0.13 mg/kg). Both water samples had heavy metals, exceeding the FAO safe limits. The Mn, Fe and Pb contents determined in the three vegetables collected from both farms were within FAO safe limits except Cd content which ranged from 0.05–0.87 mg/kg which is above FAO acceptable limits of 0.02 mg/kg. Results on mineral composition revealed significantly higher (P < 0.05) Na, K, Ca and Mg contents in the three vegetables collected from the local farm, Telfairia occidentalis having the highest Na (123.33 mg/kg), K (6500 mg/kg) and P (6.19 mg/kg) while, Corchuorus olitorius had the highest Ca (2.15 mg/kg) and Mg (2.12 mg/kg). The result of this study shows that municipal wastewater irrigation could be utilized in improving the mineral compositions of leafy vegetables. However, it is highly recommended that the wastewater is treated properly to avoid heavy metal contamination.