bluuebunny/crossref_metadata_2025 huggingface dataset:
Direct Discriminative Bag Mapping for Multi-Instance Learning
Authors: Wu Jia , Pan Shirui , Zhang Peng , Zhu Xingquan
Published: June 2022

Multi-instance learning (MIL) is useful for tackling labeling ambiguity in learning tasks, by allowing a bag of instances to share one label. Recently, bag mapping methods, which transform a bag to a single instance in a new space via instance selection, have drawn significant attentions. To date, most existing works are developed based on the original space, i.e., utilizing all instances for bag mapping, and instance selection is indirectly tied to the MIL objective. As a result, it is hard to guarantee the distinguish capacity of the selected instances in the new bag mapping space for MIL. In this paper, we propose a direct discriminative mapping approach for multi-instance learning (MILDM), which identifies instances to directly distinguish bags in the new mapping space. Experiments and comparisons on real-world learning tasks demonstrate the algorithm performance.
Handling Class Imbalance in Link Prediction Using Learning to Rank Techniques
Authors: Li Bopeng , Chaudhuri Sougata , Tewari Ambuj
Published: June 2022

We consider the link prediction (LP) problem in a partially observed network, where the objective is to make predictions in the unobserved portion of the network. Many existing methods reduce LP to binary classification. However, the dominance of absent links in real world networks makes misclassification error a poor performance metric. Instead, researchers have argued for using ranking performance measures, like AUC, AP and NDCG, for evaluation. We recast the LP problem as a learning to rank problem and use effective learning to rank techniques directly during training which allows us to deal with the class imbalance problem systematically. As a demonstration of our general approach, we develop an LP method by optimizing the cross-entropy surrogate, originally used in the popular ListNet ranking algorithm. We conduct extensive experiments on publicly available co-authorship, citation and metabolic networks to demonstrate the merits of our method.
Authorship Attribution Using a Neural Network Language Model
Authors: Ge Zhenhao , Sun Yufang , Smith Mark
Published: June 2022

In practice, training language models for individual authors is often expensive because of limited data resources. In such cases, Neural Network Language Models (NNLMs), generally outperform the traditional non-parametric N-gram models. Here we investigate the performance of a feed-forward NNLM on an authorship attribution problem, with moderate author set size and relatively limited data. We also consider how the text topics impact performance. Compared with a well-constructed N-gram baseline method with Kneser-Ney smoothing, the proposed method achieves nearly 2.5% reduction in perplexity and increases author classification accuracy by 3.43% on average, given as few as 5 test sentences. The performance is very competitive with the state of the art in terms of accuracy and demand on test data.
SPAN: Understanding a Question with Its Support Answers
Authors: Pang Liang , Lan Yanyan , Guo Jiafeng , Xu Jun , Cheng Xueqi
Published: June 2022

Matching a question to its best answer is a common task in community question answering. In this paper, we focus on the non-factoid questions and aim to pick out the best answer from its candidate answers. Most of the existing deep models directly measure the similarity between question and answer by their individual sentence embeddings. In order to tackle the problem of the information lack in question's descriptions and the lexical gap between questions and answers, we propose a novel deep architecture namely SPAN in this paper. Specifically we introduce support answers to help understand the question, which are defined as the best answers of those similar questions to the original one. Then we can obtain two kinds of similarities, one is between question and the candidate answer, and the other one is between support answers and the candidate answer. The matching score is finally generated by combining them. Experiments on Yahoo! Answers demonstrate that SPAN can outperform the baseline models.
Text Simplification Using Neural Machine Translation
Authors: Wang Tong , Chen Ping , Rochford John , Qiang Jipeng
Published: June 2022

Text simplification (TS) is the technique of reducing the lexical, syntactical complexity of text. Existing automatic TS systems can simplify text only by lexical simplification or by manually defined rules. Neural Machine Translation (NMT) is a recently proposed approach for Machine Translation (MT) that is receiving a lot of research interest. In this paper, we regard original English and simplified English as two languages, and apply a NMT model–Recurrent Neural Network (RNN) encoder-decoder on TS to make the neural network to learn text simplification rules by itself. Then we discuss challenges and strategies about how to apply a NMT model to the task of text simplification.
Predicting Links and Their Building Time: A Path-Based Approach
Authors: Li Manling , Jia Yantao , Wang Yuanzhuo , Zhao Zeya , Cheng Xueqi
Published: June 2022

Predicting links and their building time in a knowledge network has been extensively studied in recent years. Most structure-based predictive methods consider structures and the time information of edges separately, which fail to characterize the correlation between them. In this paper, we propose a structure called the Time-Difference-Labeled Path, and a link prediction method (TDLP). Experiments show that TDLP outperforms the state-of-the-art methods.
Efficient Collaborative Crowdsourcing
Authors: Pan Zhengxiang , Yu Han , Miao Chunyan , Leung Cyril
Published: June 2022

We consider the problem of making efficient quality-time-cost trade-offs in collaborative crowdsourcing systems in which different skills from multiple workers need to be combined to complete a task. We propose CrowdAsm - an approach which helps collaborative crowdsourcing systems determine how to combine the expertise of available workers to maximize the expected quality of results while minimizing the expected delays. Analysis proves that CrowdAsm can achieve close to optimal profit for workers in a given crowdsourcing system if they follow the recommendations.
MIP-Nets: Enabling Information Sharing in Loosely-Coupled Teamwork
Authors: Amir Ofra , Grosz Barbara , Gajos Krzysztof
Published: June 2022

People collaborate in carrying out such complex activities as treating patients, co-authoring documents and developing software. While technologies such as Dropbox and Github enable groups to work in a distributed manner, coordinating team members' individual activities poses significant challenges. In this paper, we formalize the problem of "information sharing in loosely-coupled extended-duration teamwork." We develop a new representation, Mutual Influence Potential Networks (MIP-Nets), to model collaboration patterns and dependencies among activities, and an algorithm, MIP-DOI, that uses this representation to reason about information sharing.
Hierarchy Prediction in Online Communities
Authors: Katerenchuk Denys , Rosenberg Andrew
Published: June 2022

With the development of the Internet, a big part of social interactions have moved online, and people have unconsciously brought their daily communicational habits to the web. Understanding these communications is important because it will lead to a better understanding of online communities, and can improve areas such as e-commerce, advertisement, topic modeling, security, and others. We propose to develop a natural language based ranking algorithm to predict user influence levels in online communication groups.
Bayesian AutoEncoder: Generation of Bayesian Networks with Hidden Nodes for Features
Authors: Nishino Kaneharu , Inaba Mary
Published: June 2022

We propose Bayesian AutoEncoder (BAE) in order to construct a recognition system which uses feedback information. BAE constructs a generative model of input data as a Bayes Net. The network trained by BAE obtains its hidden variables as the features of given data. It can execute inference for each variable through belief propagation, using both feedforward and feedback information. We confirmed that BAE can construct small networks with one hidden layer and extract features as hidden variables from 3x3 and 5x5 pixel input data.
Learning Complex Stand-Up Motion for Humanoid Robots
Authors: Jeong Heejin , Lee Daniel
Published: June 2022

In order for humanoid robots to complete various assigned tasks without any human assistance, they must have the ability to stand up on their own. In this abstract, we introduce complex stand-up motion of humanoid robots learned by using Reinforcement Learning.
Abstraction Using Analysis of Subgames
Authors: Basak Anjon
Published: June 2022

Normal form games are one of the most familiar representations for modeling interactions among multiple agent. However, modeling many realistic interactions between agents results in games that are extremely large. In these cases computing standard solutions like Nash equilibrium may be intractable. To overcome this issue the idea of abstraction has been investigated, most prominently in research on computer Poker. Solving a game using abstraction requires using some method to simplify the game before it is analyzed. We study a new variation for solving normal form games using abstraction that is based on finding and solving suitable sub games. We compare this method with several variations of a common type of abstraction based on clustering similar strategies.
Discriminative Structure Learning of Arithmetic Circuits
Authors: Rooshenas Amirmohammad , Lowd Daniel
Published: June 2022

The biggest limitation of probabilistic graphical models is the complexity of inference, which is often intractable. An appealing alternative is to use tractable probabilistic models, such as arithmetic circuits (ACs) and sum-product networks (SPNs), in which marginal and conditional queries can be answered efficiently. In this paper, we present the first discriminative structure learning algorithm for ACs, DACLearn (Discriminative AC Learner), which optimizes conditional log-likelihood. Based on our experiments, DACLearn learns models that are more accurate and compact than other tractable generative and discriminative baselines.
An Autonomous Override System to Prevent Airborne Loss of Control
Authors: Balachandran Sweewarman , Atkins Ella
Published: June 2022

Loss of Control (LOC) is the most common precursor to aircraft accidents. This paper presents a Flight Safety Assessment and Management (FSAM) decision system to reduce in-flight LOC risk. FSAM nominally serves as a monitor to detect conditions that pose LOC risk, automatically activating the appropriate control authority if necessary to prevent LOC and restore a safe operational state. This paper contributes an efficient Markov Decision Process (MDP) formulation for FSAM. The state features capture risk associated with aircraft dynamics, configuration, health, pilot behavior and weather. The reward function trades cost of inaction against the cost of overriding the current control authority. A sparse sampling algorithm obtains a near-optimal solution for the MDP online. This approach enables the FSAM MDP to incorporate dynamically changing flight envelope and environment constraints into decision-making. Case studies based on realworld aviation incidents are presented.
Optimizing Energy Costs in a Zinc and Lead Mine
Authors: Kinsella Alan , Smeaton Alan , Hurley Barry , O’Sullivan Barry , Simonis Helmut
Published: June 2022

Boliden Tara Mines Ltd. consumed 184.7 GWh of electricity in 2014, equating to over 1% of the national demand of Ireland or approximately 35,000 homes. Ireland’s industrial electricity prices, at an average of 13 c/KWh in 2014, are amongst the most expensive in Europe. Cost effective electricity procurement is ever more pressing for businesses to remain competitive. In parallel, the proliferation of intelligent devices has led to the industrial Internet of Things paradigm becoming mainstream. As more and more devices become equipped with network connectivity, smart metering is fast becoming a means of giving energy users access to a rich array of consumption data. These modern sensor networks have facilitated the development of applications to process, analyse, and react to continuous data streams in real-time. Subsequently, future procurement and consumption decisions can be informed by a highly detailed evaluation of energy usage. With these considerations in mind, this paper uses variable energy prices from Ireland’s Single Electricity Market, along with smart meter sensor data, to simulate the scheduling of an industrial-sized underground pump station in Tara Mines. The objective is to reduce the overall energy costs whilst still functioning within the system’s operational constraints. An evaluation using real-world electricity prices and detailed sensor data for 2014 demonstrates significant savings of up to 10.72% over the year compared to the existing control systems.
Data Driven Game Theoretic Cyber Threat Mitigation
Authors: Robertson John , Paliath Vivin , Shakarian Jana , Thart Amanda , Shakarian Paulo
Published: June 2022

Penetration testing is regarded as the gold-standard for understanding how well an organization can withstand sophisticated cyber-attacks. However, the recent prevalence of markets specializing in zero-day exploits on the darknet make exploits widely available to potential attackers. The cost associated with these sophisticated kits generally precludes penetration testers from simply obtaining such exploits – so an alternative approach is needed to understand what exploits an attacker will most likely purchase and how to defend against them. In this paper, we introduce a data-driven security game framework to model an attacker and provide policy recommendations to the defender. In addition to providing a formal framework and algorithms to develop strategies, we present experimental results from applying our framework, for various system configurations, on realworld exploit market data actively mined from the darknet.
Risk-Aware Planning: Methods and Case Study on Safe Driving Route
Authors: Krumm John , Horvitz Eric
Published: June 2022

Vehicle crashes account for over one million fatalities and many more millions of injuries annually worldwide. Some roads are safer than others, so driving routes optimized for safety may re- duce the number of crashes. We have developed a method to estimate the probability of a crash on any road as a function of the traffic volume, road characteristics, and environmental condi- tions. We trained a regression model to estimate traffic volume and a binary classifier to estimate crash probability on road seg- ments. Modeling a route’s crash probability as a series of Ber- noulli trials, we employ the Dijkstra routing algorithm to compute the safest route between two locations. We find that, compared to the fastest route, the safest route is approximately 1.7 times as long in duration and about half as dangerous. We also show how to smoothly trade off safety for travel time, and demonstrate how drivers could be offered several route options, each with different crash probabilities and durations.
On Designing a Social Coach to Promote Regular Aerobic Exercise
Authors: Mohan Shiwali , Venkatakrishnan Anusha , Silva Michael , Pirolli Peter
Published: June 2022

Our research aims at developing interactive, social agents that can coach people to learn new tasks, skills, and habits. In this paper, we focus on coaching sedentary, overweight individuals to exercise regularly. We employ adaptive goal setting in which the coach generates, tracks, and revises personalized exercise goals for a trainee. The goals become incrementally more difficult as the trainee progresses through the training program. Our approach is model-based the coach maintains a parameterized model of the trainee’s aerobic capability that drives its expectation of the trainee’s performance. The model is continually revised based on interactions with the trainee. The coach is embodied in a smartphone application which serves as a medium for coach-trainee interaction. We show that our approach can adapt the trainee program not only to several trainees with different capabilities but also to how a trainee’s capability improves as they begin to exercise more. Experts rate the goals selected by the coach better than other plausible goals, demonstrating that our approach is effective.
Automated Data Cleansing through Meta-Learning
Authors: Gemp Ian , Theocharous Georgios , Ghavamzadeh Mohammad
Published: June 2022

Data preprocessing or cleansing is one of the biggest hurdles in industry for developing successful machine learning applications. The process of data cleansing includes data imputation, feature normalization and selection, dimensionality reduction, and data balancing applications. Currently such preprocessing is manual. One approach for automating this process is metalearning. In this paper, we experiment with state of the art meta-learning methodologies and identify the inadequacies and research challenges for solving such a problem.
Explainable Agency for Intelligent Autonomous Systems
Authors: Langley Pat , Meadows Ben , Sridharan Mohan , Choi Dongkyu
Published: June 2022

As intelligent agents become more autonomous, sophisti- cated, and prevalent, it becomes increasingly important that humans interact with them effectively. Machine learning is now used regularly to acquire expertise, but common techniques produce opaque content whose behavior is difficult to interpret. Before they will be trusted by humans, autonomous agents must be able to explain their decisions and the reasoning that produced their choices. We will refer to this general ability as explainable agency. This capacity for explaining decisions is not an academic exercise. When a self-driving vehicle takes an unfamiliar turn, its passenger may desire to know its reasons. When a synthetic ally in a computer game blocks a player’s path, he may want to understand its purpose. When an autonomous military robot has abandoned a high-priority goal to pursue another one, its commander may request justification. As robots, vehicles, and synthetic characters become more selfreliant, people will require that they explain their behaviors on demand. The more impressive these agents’ abilities, the more essential that we be able to understand them.
Film as Sound Art: Embracing Love through Extra-diegetic Sound in Nadine Labaki’s Caramel
Authors: Sendra Estrella
Published: June 2022

Teaching film often involves un-learning previously taught histories of cinema to find instead ‘herstories’ (Dovey, 2018) and theirstories of cinema. This video essay constitutes an illustrative example of this practice, showing how Lebanese woman-led film Caramel (2007) is taught at SOAS, University of London to emphasise the crucial role of sound in narrative while rethinking the film canon and encouraging critical reflection on the gaze. By creatively compiling encounters between two characters in the film, the video essay shows two women gazing at each other in ways that evoke a romantic relationship, even if their contact stays in the hair salon. While there is barely any dialogue, the extra-diegetic music forges an intimate atmosphere. The decoding of these moments is shaped by the context of censorship in Lebanon, where explicit representations of same-sex relationships could be punished by law. In this video essay, I suggest that sound helps represent a queer gaze between the two characters, subverting both heteronormativity and patriarchal society, and in so doing, it also queers the audience’s gaze. Caramel thus serves as an excellent case study of the possibilities of sound in film, and of film as sound art.
How Effective Were National, State, and Local Eviction Moratoria?
Authors: Raajkumar Adithya V.
Published: June 2022

Evictions can have detrimental effects on tenants and their households, such as unemployment, loss of shelter, and/or food insecurity, which can often be especially severe since households that face eviction tend to be poorer and less job-secure (Desmond and Kimbro, 2015). Even when tenants are ultimately not evicted, eviction filings themselves can represent a burden for households (Banerjee and Ghatak, 2003; Leung, Hepburn, and Desmond, 2021). Finally, the mere threat of eviction can impose substantial burdens on households (Garboden and Rosen, 2019). Beyond the household level, evictions can also have adverse effects on public health (Benfer et al., 2021; Jowers et al., 2021).
Simulasi Perilaku Fluks Neutron di Reaktor RSG-GAS dengan Metode RUNGE KUTTA
Authors: Hakim Abdul Aziz Rohman
Published: June 2022

Pemodelan reaktor sebagai sebuah titik menghasilkan satu set pasangan persamaan diferensial biasa yang disebut sebagai persamaan kinetika reaktor titik (reactor point kinetic). Persamaan tersebut merupakan persamaan simultan orde satu yang menggambarkan perilaku reaktor gayut waktu. Persamaan  kinetika reaktor titik dapat diselesaikan secara numerik, salah satunya  dengan metode Runge Kutta Orde 4. Metode Runge Kutta Orde 4 dipilih karena memberikan hasil perhitungan yang lebih akurat meskipun dengan  pemrograman yang relatif lebih sulit. Pemrograman dilakukan dalam bahasa FORTRAN, sedangkan hasil perhitungan divisualisasikan dengan Matlab. Penelitian ini bertujuan menyajikan penyelesaian persamaan kinetika reaktor titik secara numerik menggunakan metode Runge Kutta Orde 4 untuk menggambarkan hubungan reaktivitas dengan fluks neutron dalam teras reaktor. Langkah pertama, penentuan nilai densitas neutron awal (No), konsentrasi prekursor neutron awal (Co), reaktivitas awal (ρo), fraksi neutron kasip (βi), waktu generasi neutron kasip, dan konstanta peluruhan prekursor (λi). Langkah kedua, menyelesaikan persamaan diferensial densitas neutron dan konsentrasi prekursor dengan metode Runge Kutta Orde 4, Langkah ketiga, melakukan simulasi insersi reaktivitas step, sinusoidal dan reaktivitas fungsi densitas neutron. Langkah keempat, membuat visualisasi dengan Matlab. Data yang digunakan dalam perhitungan kinetika reaktor titik adalah data parameter kinetika teras TWC Silisida RSG-GAS Tabel V-17 LAK Rev. 11 tahun 2020. Hasil kajian menunjukkan bahwa penyelesaian persamaan kinetika reaktor titik dengan metode Runge Kutta Orde 4 menunjukkan perilaku fluks neutron di dalam teras akibat insersi reaktivitas yang sesuai dengan teori kinetika reaktor. Hasil kajian juga dapat menggambarkan hubungan antara reaktivitas dengan fluks neutron dalam teras pada insersi reaktivitas undak (step), sinusoidal, dan reaktivitas fungsi densitas neutron
Physicochemical Properties Of 131I-Rutin Under Acidic Labeling Condition As A Radiolabeled Compound For The Diagnosis Of Cancer
Authors: Sriyani Maula Eka , Shintia Maudy , Rosyidiah Endah , Nuraeni Witri , Saraswati Adinda , Widyasari Eva Maria
Published: June 2022

Radiolabeled rutin (131I-rutin) has potential use in future diagnosis of cancer. The physicochemical characteristics of 131I-rutin are essential in regard to its distribution and accumulation in the body. Therefore, to ensure successful delivery of a labeled compound, it is necessary to evaluate its physicochemical properties. The labeling of 131I-rutin was accomplished using the oxidation method assisted by Chloramine-T under acidic conditions. Radiochemical purity value was measured by thin-layer chromatography (TLC-SG F254) using 100% methanol as the mobile phase. The electrical charge of 131I-rutin was determined by the paper electrophoresis. Moreover, the lipophilicity (P) was evaluated by the partition coefficient in the organic-water liquid. Plasma protein binding was determined in vitro by precipitation method using a 5% trichloroacetic acid (TCA) solution. The results showed that 131I-rutin has a neutral charge and a lipophilicity value (Log P) of 0.395 ± 0.203 (hydrophilic), and was bound to human blood plasma proteins with a percentage of 69.36% ± 1.88%.
EFFECT OF GAMMA IRRADIATION ON GROWTH OF ESCHERICHIA COLI AND SALMONELLA SP.
Authors: Larasati Dita Aisyiyah , Suharto Bambang , Wirosoedarmo Ruslan , Sugoro Irawan
Published: June 2022

Escherichia coli was still detected in treated water and Salmonella sp. filled 90% of the pathogenic bacteria content in the Wastewater Treatment Plant (WWTP) sludge. This research aimed to know the effect of gamma irradiation on the growth of E. coli and Salmonella sp. Experimental bacteria were in the form of un-raw material, bacterial isolates. The experimental method of this research gave gamma irradiation doses 1, 2, 3, 4, and 5 kiloGray (kGy) to bacterial suspensions. The isolates were cultured on Nutrient Agar (NA) and followed by cultured on Nutrient Broth (NB) to get the suspensions. The suspensions were put in microtubes for irradiation then followed by enumeration on Plate Count Agar (PCA) in Total Plate Count (TPC) based on SNI-2897-2008. This research proved that the higher dose of gamma irradiation had been given, the lower growth of bacteria (or were the higher death number of bacteria) resulted. Decimal Reduction Dose (D10) value of E. coli and Salmonella sp. were 0,3 kGy and 0,35 kGy, and totally dead by ≥ 3 kGy and ≥ 4 kGy. For further research might be conducted on raw material such as WWTP sludge, wastewater, drinking water, river water, soil water, or organic fertilizer.EFFECT OF GAMMA IRRADIATION ON GROWTH OF ESCHERICHIA COLI AND SALMONELLA SP.
Computation Study of Radioisotopes Gallium-68 (68Ga) Production using Long-lived & High Activity methods
Authors: Rattyananda Badra Sanditya , Martoprawiro Muhamad Abdulkadir , Arifah Aminatus , Meliawati Aristia Pratiwi , Widayanti Merika Indri , Tursinah Rasito , Setiadi Yanuar
Published: June 2022

Radioisotopes used for gamma-ray-based diagnostics have the main problem that imaging resolution quality.Gallium-68 is a positron (β+) emitting radioisotope that has better imaging resolution than gamma-based radioisotopes. Gallium-68 (68Ga) can be produced by irradiating natural gallium or zinc-68 enriched as a target with protons in an accelerator facility. Indonesia has planned to build a cyclotron type accelerator that operates in 13 MeV proton energy and 50 µA proton beam who has initials named DECY-13. Before it was commissioned for radioisotopes production purpose that was must conduct a preliminary study to determine 68Ga optimum irradiation time and properties, one of which was the monte carlo computation method using PHITS v3.24 software. Simulations were begun by irradiating proton with natural gallium target for 25 days with 2 days cooling and zinc-68 enriched for 120 minutes with cooling 10 minutes. The results at EOB of the long-lived process using the natGa target obtained total radioactivity of 189.42 MBq (5.12 mCi). The total radioactivity result of high activity process which used 68Zn enriched as a target was 268.6 GBq (7.259 Ci). the radioactivity was compared with another accelerator, that the long-lived process was too small and uneconomical to done, but the high activity process was feasible to produce. The results of this research expected will be considered as a feasibility study for the 68Ga production process in Indonesia in the future.
The prevalence and classification of mandibular third molar impactions and associated second molar pathology in a Gauteng population group. A retrospective study.
Authors: Dawson L , Postma TC , Sykes Leanne
Published: June 2022

An impacted tooth is one that has not erupted or is unlikely to erupt into its functional position within the dental arch1, and which has remained embedded in the jawbone or mucosa for more than 2 years following its physiological eruption time2 . It may be visible, not visible but palpable, or neither visible nor palpable but evident on a radiograph.1,3 Third molars are the most commonly impacted teeth followed by maxillary canines, with reported variations in prevalence amongst different population groups2,4. In 2000 The National Institute for Health and Clinical Excellence (NICE) issued guidelines stating that third molars should only be removed if there is evidence of pathology, and advocated that the practice of prophylactic removal be discontinued.1
Case of Vasculitic Neuropathy and Myelopathy
Authors: Yamakawa Mai , Pasnoor Mamatha
Published: June 2022

N/A
Lumbosacral plexopathy secondary to internal iliac artery aneurysm: case report and review of literature
Authors: Shipman Molly , Raghav Govindarajan
Published: June 2022

Iliac artery aneurysms are usually asymptomatic and can manifest symptoms only when there is compression, erosion, or trauma present. We report an internal iliac artery aneurysm causing lumbosacral plexopathy developed post hernia repair surgery presenting with right lower limb weakness and numbness. Through imaging and physical exam, traction injury and ischemic processes were ruled out as potential causes of the right lower limb weakness and neuropathy. In patients with unexplained lower extremity weakness and numbness, an iliac artery aneurysm compressing the lumbosacral plexus should be considered and further imaging of the pelvis to look for compressive etiologies of the plexus can be done.
Türkiye’de klimatik jeomorfoloji gerçeği
Authors: ERTAN Merve , ERKAL Tevfik
Published: June 2022

İlk kez 1913 yılında de Martonne tarafından kullanılan Klimatik Jeomorfoloji kavramı 20. yüzyılınbaşlarından itibaren birçok ülkede benimsenmiş ve pek çok kişi tarafından konuyla ilgili sayısızçalışmalar yapılmıştır. Yer şekillerinin oluşumunda, gelişiminde ve dağılışında iklimin öneminevurgu yapan söz konusu yaklaşım, başlangıçta W.M.Davis’in fikirleri ve çalışmaları etrafında şekillenmiştir.Bu dönemde araştırmacılar yeryüzünü morfojenetik bölgelere ayırma uğraşları içindeolmuştur. Yaklaşım 1950-1980 yılları arasında en yüksek ivmesini kazanmıştır. Günümüzdeise bu yaklaşım, daha çok uygulamalı jeomorfoloji/klimatoloji araştırmalarında ve küresel iklimdeğişikliğine yönelik çalışmalarda kendisini göstermektedir. Klimatik jeomorfoloji Türk akademicamiasına geç giriş yapmış ve pek fazla ilgi görmemiştir. Klimatik jeomorfoloji yaklaşımını,Türkiye alanyazınına ilk olarak 1984 yılında Dayan’ın (1984) Herbert Wilhelmy’den çevirerekyazdığı Klima Jeomorfoloji ile, ardından 1992 yılında Erol’un (1992) Klimajeomorfoloji eseri ilegirmiştir. Ancak Türkiye’de bu konuya ilgi duyulmaması nedeniyle yapılmış çalışmalar da sınırlısayıda kalmıştır. Bu araştırma kapsamında ulaşılabilen çeşitli veriler (raporlar, makaleler, kitaplar,sözlükler, dergiler, ansiklopediler ve haritalar) tek tek incelenmiş geniş kapsamlı bir taramayapılmıştır. Çalışmanın önemli kısmını oluşturan yabancı kaynakların ilgili yerleri Türkçe’ye çevrilmiş,konunun önemini vurgulayan bir durum çalışması yapılarak araştırma sorunu geliştirilmiş,çalışılacak çerçeve belirlenmiştir. Böylece klimatik jeomorfolojiyi ülkemiz alanyazınına yenidentanıtmak, önemini bir kez daha vurgulamak, Türk jeomorfologlara ve konuya ilgi duyanlara birivme kazandırmak amaçlanmıştır.
Курс школьного обществознания в эпоху цифровизации: содержание, технологии, приемы
Authors: Орлов Игорь
Published: June 2022

В учебно-методическом пособии рассматриваются различные аспекты, связанные с обновлением современного обществоведческого курса и применением современных образовательных технологий и приемов. Авторы предлагают материалы для создания сценариев уроков по обществознанию в основной и старшей школе. Методические рекомендации включают темы по политике, праву, глобализации, финансовой грамотности и медиа в современном обществе. Пособие предназначено для проведения общих и специальных курсов по программам бакалавриата, магистратуры и дополнительного обучения учителей обществознания. Оно будет полезно преподавателям обществознания, студентам бакалавриата педагогических вузов, магистрантам, обучающимся на соответствующих факультетах, методистам.
Right to Freedom of Expression v. Reputation Protection (Based on ECtHR Practice Materials)
Authors: Alforova Tetiana M. , Koba Mariia M. , Lehka Oksana V. , Kuchuk Andrii M.
Published: June 2022

The urgency of the study is stipulated by the necessity to clarify the criteria allowing courts to determine a balance between the right to freedom of expression (Article 10 of the Convention for the Protection of Human Rights and Fundamental Freedoms) and the right to reputation protection as part of the right to privacy (Article 8 of the Convention for the Protection of Human Rights and Fundamental Freedoms), given the complex nature and equivalence of these rights on conditions of a a democratic society. The purpose of the article is to elucidate, through the European Court of Human Rights practice, the provisions allowing defamation cases to be resolved and additional criteria that can be used to consider such cases to be formed. The research is based on the perception of human rights as natural, inalienable and equal human opportunities, which are universal in nature, but may have a regional content, allowing us to talk about the social and cultural nature of law in general. The study takes into account the implicit nature of the Convention for the Protection of Human Rights and Fundamental Freedoms provisions, which enshrine the relevant human rights, respectively, it is the decisions of the European Court of Human Rights that are “filling” these rights with the “content”. The principle of the Convention’s norms dynamic interpretation is taken into account by the Court, which ensures the effectiveness of human rights institutions and a modern understanding of the content of protected rights. The article clarifies that the criteria for finding a balance between the right to freedom of expression and reputation protection are the following: the content of the publication; degree of public interest in disseminated information; the degree of publicity of the interested person, the form and consequences of the publication, the method of obtaining information, the behavior of the interested party to the publication; as additional criteria for determining the balance between the right to freedom of expression and the protection of reputation, it is suggested to use the purpose of the publication (whether, the publication aims to create a “platform” for discussion of public interest or is used as a means of black PR or this interest is limited to unhealthy curiosity), as well as the results of linguistic examination.
DNA Databases for Criminal Justice System: A Pathway towards Utopian or Dystopian Future?
Authors: Erbaş Rahime
Published: June 2022

Abstract:  DNA evidence has increasingly become a widespread instrument in solving crime as well as crime prevention. As such, creation of DNA databases or expanding the existing ones have been on the rise in the world. On the one side, storing DNA profiles serves as a pivotal tool in crime solving, but on the other, privacy based on genome concerns occur. DNA databases appears as an example of biotechnology today and in the future that are argued in a spectrum ranging from utopia to dystopia. This methodical approach, of course, is nothing new or novel for a DNA database-related study. This study, however, aims to analyse the matter from the standpoint of criminal law and to discuss whether the modus operandi of criminal procedure on the use of DNA databases paves the way towards utopian or dystopian vision for future. As such, after introducing theme and indicating scope of the study (I), it provides an overview regarding the involvement of DNA as evidence and respectively database in criminal justice system in the world (II).  Whether databases established for criminal justice system serve for dystopian.
Conceptualizing Human Rights Remarks on the ‘Genus’ and Distinguishing Features of Human Rights
Authors: Szerletics Antal
Published: June 2022

The paper examines the conceptual issues of human rights using the framework of the genus proximum – differentia specifica definitional technique. My aim is not to come up with a definition for human rights, but rather to identify their genus that can, as a starting point, serve the purposes of constructing a more elaborate theory. As an unsurprising, but not at all obvious suggestion, it is argued that the closest conceptual category to human rights is the category of rights, understood in a wide but still Hohfeldian sense of the word. Subsequently, the paper examines five potential ‘distinguishing features’ that can, either separately or in combination with each other, set apart human rights from other rights.
What Is at Stake in the Recognition of Non-Normative Identities?
Authors: Rodríguez Ruiz Blanca
Published: June 2022

The deconstruction of the binary sex-gender system that sustains modern western states demands the deconstruction of its dichotomies and their excluding effects on non-normative identities. This demands in turn that gender self-determination be recognised as a right. In Spain this right has been given constitutional status (STC 99/2019), yet it is currently not articulated in legislation. Proposals of a new legal framework have met with resistance and an ensuing need for compromise. Unless it grasps and upholds the full constitutional extent of the right to gender self-determination, however, legislation risks being born both unconstitutional and obsolete, out of pace with social demands.
Dismantling or perpetuating gender stereotypes. – The case of trans rights in the European Court of Human Rights’ jurisprudence
Authors: Hansen Caroline
Published: June 2022

The European Court of Human Rights (the Court) considers gender identity “a fundamental aspect of the right to respect for private life” (AP, Garçon & Nicot v France, 2017), and has taken important steps towards ensuring that this right is implemented in Council of Europe states. The Court has thus held that trans persons cannot be required to undergo “sterilisation surgery or treatment” to have their gender legally recognised by the State (AP, Garçon & Nicot v France). However, where such advancements have opened doors for many trans people to access legal gender recognition without undergoing unwanted or impossible surgeries, certain requirements remain. Where the gender identity of trans persons must be ‘verified’ by a third-party to enable legal gender recognition, this bears the risk of seeing stereotypical visions of gender enforced, devaluing the general aim of dismantling gender stereotypes for all. This paper will analyse gender stereotypes appearing in cases of the Court relating to trans persons, and explore alternatives to the current systems of legal gender recognition, which may aid in dismantling gender stereotypes for persons of all gender identities.
The SDGS and Human Rights Key Instruments in the Response and Recovery from the Pandemic
Authors: Aparicio Chofré Lucía
Published: June 2022

The COVID-19 pandemic is a valuable opportunity to draw a series of important lessons that may be key to turning the tide and laying the foundations to face the new and unprecedented challenges that humanity will face in the coming years. after analysing the differences between this crisis and the two previous ones experienced in the 21st century, a series of lessons that should be considered stand out. Next, the Sustainable Development Goals and Human Rights are presented as key instruments to guide the construction of a new model that leaves no one behind and increases our resilience. Finally, it concludes by collecting a series of theoretical reflections that could be used as a methodology and possible content proposals in the design of a new model to face the challenges that the future holds, as well as the response to possible criticisms.
History of MeToo University movement in Spain
Authors: Joanpere Mar , Burgués-Freitas Ana , Soler Marta , Aiello Emilia
Published: June 2022

The precedents of the MeToo University movement, both in USA and Spain, has been led since the 1990s both by people who have taken a stand against sexual harassment in universities. The present study reflects the history of the MeToo University in Spain with an emphasis in the start of organized movement in 2013, also simultaneously with the one organized in the USA. For this purpose, in-depth interviews were conducted with people who led this transformation since its beginnings, as well as with others who have joined recently, in order to learn about the historical scope of this movement from a qualitative approach. Those people have suffered from isolating gender violence for daring to break the silence, being a loudspeaker and putting a name to a problem still silenced in Spanish universities and in the world. The movement has achieved great advances in academic settings, such as the obligation of all universities to have protocols for action in case of sexual harassment or gender violence, the legislation of isolating gender violence, and an unstoppable number of people who come out to tell their cases.
The Feminine Section and the political instrumentalization of flamenco dance during the Franco dictatorship (1940-1975)
Authors: Heras Monastero Bárbara de las , Delgado Granados Patricia
Published: June 2022

This article analyzes the political instrumentalization of flamenco dance during the Franco dictatorship through the Feminine Section of Traditionalist Spanish Falange and the National Syndicalist Offensive Boards (hereinafter, FET and JONS). The research method used for this work is the historiographical based on a systematic study of primary sources consisting mainly of periodic, graphic and oral publications, as well as official documents of the time, in addition to the already published works that have addressed succinct Andalusian folklore during the Franco period (1940-1975). The results show a first autarchic stage, that of the forties, in which flamenco dance is instrumentalized under the myth of the unity of the homeland, for from the fifties, as part of the developmental strategy in the economic and openness in politics, flamenco becomes a weapon of political indoctrination to reinforce and symbolize the new national identity. In this way, the idea of ​​identity construction of the Spanish referent (Spanishness) generated by flamenco dance and its indoctrination mechanisms is valued.
List of reviewers
Authors: Díez Palomar Javier
Published: June 2022

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Are 9th Grade Students Ready to Engage in the Theoretical Discursive Process in Geometry?
Authors: Karpuz Yavuz , Güven Bülent
Published: June 2022

This study was conducted to examine whether newly enrolled 9th grade students were ready to directly engage in the theoretical discursive process from the perspective of Duval’s Cognitive Model. The sample of the study was comprised of 51 newly-enrolled 9thgrade students between the ages of 14 and 15, who had not received any prior geometry instruction. These 51 students were posed two open-ended questions that would enable them to make a transition between perceptual and discursive apprehension. The qualitative data obtained from the open-ended questions were classified into three categories, and clinical interviews were held with three students from each category. According to the findings obtained from the study, many of the students could not display the necessary behaviors for theoretical discursive process. Students were mostly unsuccessful in converting discursive information into perceptual information, in writing discursive information based on perceptual information, and making inferences based on discursive information. These findings indicate that recent graduates of secondary school are not ready enough to directly engage in theoretical discursive process and, thus, they could experience difficulties in such high order skills as providing proof requiring the theoretical discursive process.
Argumentación matemática basada en refutaciones
Authors: Cervantes-Barraza Jonathan Alberto , Cabañas Sánchez Maria Guadalupe
Published: June 2022

El estudio tiene como objetivo identificar las implicaciones de la refutación en argumentaciones con estudiantes de nivel primaria. Por lo que se presenta el análisis de los argumentos y refutaciones entre estudiantes de sexto grado de primaria en el contexto de la solución de tareas matemáticas relacionadas con la clasificación de triángulos según la medida de sus ángulos. Teóricamente el estudio se fundamenta sobre los conceptos base de la línea de investigación argumentación y prueba, de forma particular se abordan los conceptos de argumentación matemática, razonamiento y refutación. Los resultados del estudio documentan algunas implicaciones de la refutación de conclusiones en contextos de la resolución de tareas matemáticas a nivel primaria, y se reconoce que los estudiantes construyan argumentos mejoradas con base en características y propiedades de los triángulos.
Worked Example Mid-Semester Intervention in College Algebra
Authors: Miller David , Schraeder Matthew
Published: June 2022

The enrollment in lower-level mathematics courses has been on the increase in the last decade. It has been estimated that the DFW rate may rise to the level of 50% in courses that can be classified as college algebra. Numerous interventions have been utilized for college algebra and other mathematics classes to help students, including supplemental instruction, peer-led team learning, group learning, flipped classrooms, and integrating technology. In this study, we offered a half-semester course that implemented worked example worksheets, which were used in a previous full-semester intervention, to help students with the college algebra material. Results showed that the thirty students who participated in the worked example pass/fail mid-semester class significantly outperformed the college algebra students who did not participate in the intervention on total points in the course, quizzes, and tests 3 and 4. In addition, participants earned a significantly higher course GPA, attended significantly more regular class lectures, and earned a higher final exam score. Finally, we analysed the qualitative data to develop five themes about the worked examples and intervention. We conclude that the mid-semester intervention is a good just-in-time mechanism to implement after the semester has started to help students succeed in the class.