Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating GAP45 localisation and phosphorylation during plasmodium falciparum schizont development

The invasion of erythrocytes by merozoites is driven by an actomyosin motor assembled below the parasite’s plasma membrane, with the myosin anchored on the inner membrane complex (IMC). The myosin (MyoA) is within a protein complex that is comprised of several proteins including myosin tail domain interacting protein (MTIP) and glideosome associated proteins (GAP) 45 and 50. A ternary complex of MyoA, MTIP and GAP45 is formed and later associates with GAP50. GAP45 is acylated by both myristoyl- and palmitoyl-fatty acids and is phosphorylated. This study has highlighted the GAP45 phosphorylation by calcium dependent protein kinase 1 (CDPK1) in vitro and its possible roles in schizogony. By site directed mutagenesis, substitution of S31, S89, S103 and S156 to alanine decreased the level of GAP45 phosphorylation, with S103A exhibiting a major decrease in 32P incorporation. Phosphorylation on S89 and S103 was studied further in parasites as both residues were among the phospho-sites in phosphopeptides identified in vivo. This study also showed that full length GAP45 labelled internally with GFP (FL-GAP45) is assembled into the motor complex, phosphorylated and transported to the developing IMC in early schizogony, where it accumulates during intracellular development until merozoite release. The C-terminal truncated GFP-GAP45 (N-GAP45; residues 1-29) localised at the plasma membrane instead of the IMC and was not assembled into the motor complex. The N-terminal truncated GFP-GAP45 (C-GAP45; residues 30-205) behaved like FL-GAP45. Modifying serine residues, S89 and S103, in GAP45 with alanine or aspartate had no apparent effect on its assembly into the protein complex or its intracellular location during schizont development and merozoite maturation. A second highly phosphorylated component of the complex (GAP40) was also identified. The early assembly of the motor complex suggests that it has functions in addition to its role in erythrocyte invasion.
EFFECTIVENESS OF MULTIMEDIA APPROACH IN TEACHING OF ARTS AT SECONDARY STAGE

Teaching is an art and a skill to be learnt. It requires the knowledge of the subject content, method techniques and teaching aids to be used for making teaching interesting and effective. The selection of teaching method and techniques depend upon the nature of the test, learning objectives on the one side and entering behavior on the other. Traditional teaching is also known as conventional teaching. Traditional teaching in art premier is one way teaching in which the teacher is more active and the students are merely passive listeners. Traditional teaching can be considered as sub-part of lecture method of teaching in which there is no use of teaching except chalkboard.
Detecting Clickbait: Here's How to Do It / Comment détecter les pièges à clic

Abstract:Automatic clickbait detection is a relatively novel task in natural language processing (NLP) and machine learning (ML). "Clickbait" is a hyperlink created primarily to attract attention to its target content. This article introduces a binary classifier, the Language and Information Technology Research Lab (LiT.RL, pronounced "literal") Clickbait Detector, which automatically distinguishes clickbait from non-clickbait. We used NLP and ML for 38 textual features, contrasting clickbait with "headlinese. " When tested on 11,000 hyperlinks, it achieves 94 per cent accuracy using a support vector machine. Integrated with the LiT.RL News Verification Browser, a downloadable stand-alone research tool, the Clickbait Detector user interface shows automated real-time colour-coded analysis of any news website. Résumé:La détection automatique de pièges à clics est relativement nouvelle dans le traitement naturel du langage (TNL) et en apprentissage automatique (AO). Le piège à clics est un lien hypertexte créé surtout pour attirer l'attention vers son contenu cible. Cet article introduit un classifiant binaire, le détecteur de pièges à click Language and Information Technology Research Lab (LiT.RL), qui distingue automatiquement les pièges des non-pièges. Nous utilisons le TNL et l'AO sur 38 caractéristiques textuelles, contrastant les pièges à clics et de titres accrocheurs. Nous avons testé 11 000 liens hypertextes et avons obtenu un score de 94 pour cent d'exactitude en utilisant une machine à vecteurs de support. Intégrée au fureteur de vérification de nouvelles LiT.RL, un outil autonome de recherche téléchargeable, l'interface usager du détecteur de pièges à clics montre une analyse en temps réel qui utilise un code de couleur de tout site Web de nouvelles.
Creating a comprehensive, unit-based approach to detecting and preventing harm in the neonatal intensive care unit

Background Error detection and analysis alone cannot create or sustain a culture of safe, high-quality, compassionate care for patients. Some experts have endorsed a unit-based approach to improving quality, but there are few examples and those rarely focus on reducing all preventable harms and engaging frontline clinicians, patients, and families. Approach: We implemented a unit-based approach comprising seven building blocks for creating a comprehensive approach to detect and prevent harm at the unit level within a hospital: (1) unit quality council and stakeholder buy-in, (2) parent engagement and advisory council, (3) frontline clinician and parent quality improvement training, (4) measurement of organizational contextual factors, (5) electronic health record trigger development and synthesis of harm measures, (6) subcommittees to review harm, and (7) quality improvement teams. Challenges and Lessons Learned: Challenges include conceptualizing triggers for a unit unfamiliar with this methodology, establishing unit resources for collecting and analyzing data, and creating processes to integrate parents in unit quality efforts. The seven essential building blocks helped overcome these challenges and could be adopted by other healthcare organizations. Conclusion These building blocks create a generalizable foundation for establishing a unit-based approach to detecting and preventing harm.
Laparoscopic inguinal hernia repair: a prospective study of 120 cases

Background: Inguinal hernias have been treated traditionally with open methods of hernioplasty. But the trends have changed in last 2 decades with the introduction of laparoscopic inguinal hernia repair by transabdominal preperitoneal (TAPP) and total extra preperitoneal (TEP) surgery.Methods: The study was prospective type conducted from January 2010 to April 2018. 130 patients, who underwent laparoscopic inguinal hernia repair. 60 patients for TAPP and 60 patients for TEP. Preoperative, intraoperative, postoperative and follow up data was analysed.Results: From 130 patients,10 patient underwent open hernia repair due to anaesthetics reason. 93.3% primary hernias and 6.7% recurrent hernias. 50% was repaired by TEP and 50% by TAPP. Mean time taken for surgeries was 60-90 min. The intraoperative, postoperative complications rates were 1.2% and 7.4% respectively. Mean hospital stay was 1-5 days.Conclusions: laparoscopic inguinal hernia repair could be contemplated safely both via totally extra peritoneal as well as transperitoneal route even in our setup of developing country with modifications.
Time is muscle : a systematic review investigating the role of remote ischaemic preconditioning and glucose-insulin-potassium infusions as adjunctive therapies to revascularisation in coronary artery disease

In the management of coronary artery disease (CAD) most advances have concerned improvements in catheter-based interventional techniques and complex pharmacotherapy, with an emphasis on time, which unfortunately, cannot always achieved. However, simple measures with reassuring benefit that can be performed even by non-cardiologists have been largely overlooked, or understated. These include limiting reperfusion injury by remote ischaemic conditioning (RIPC), a powerful protective mechanism that can be elicited by the transient occlusion of blood flow to a limb with a blood pressure cuff. More controversially, glucose-insulin-potassium (GIK) therapy in early ST elevation myocardial infarction (STEMI) has the potential to improve outcomes especially when timely restoration of vessel patency is difficult to achieve. This systematic review will evaluate the role of these therapies as adjuncts to revascularisation for treating coronary artery disease either electively or during an acute coronary syndrome. Objectives: To determine if RIPC or GIK therapy for CAD leads to reduced mortality (primary objective), infarct size, cardiac enzyme release or major adverse cardiac and cerebral events (MACCE) and to identify adverse effects associated with RIPC or GIK (secondary objectives). Methods: The search strategy identified 100 articles from 2 databases, Cochrane and PubMed. Following review of the titles, 85 articles were excluded, leaving 15 studies for full-text review of which 6 articles were included in the final subset. Results: RIPC as part of adjunctive therapy for patients undergoing revascularisation for coronary artery disease leads to reduced mortality, cardiac enzyme release and improved myocardial salvage compared to placebo. Early GIK therapy in STEMI leads to decreased in-
Autonomous Vehicles with Visual Signals for Pedestrians: Experiments and Design Recommendations

Autonomous Vehicles (AV) will transform transportation, but also the interaction between vehicles and pedestrians. In the absence of a driver, it is not clear how an AV can communicate its intention to pedestrians. One option is to use visual signals. To advance their design, we conduct four human-participant experiments and evaluate six representative AV visual signals for visibility, intuitiveness, persuasiveness, and usability at pedestrian crossings. Based on the results, we distill twelve practical design recommendations for AV visual signals, with focus on signal pattern design and placement. Moreover, the paper advances the methodology for experimental evaluation of visual signals, including lab, closed-course, and public road tests using an autonomous vehicle. In addition, the paper also reports insights on pedestrian crosswalk behaviours and the impacts of pedestrian trust towards AVs on the behaviors. We hope that this work will constitute valuable input to the ongoing development of international standards for AV lamps, and thus help mature automated driving in general.
End-to-End Programming Tools for Mobile Manipulator Robots

End-to-End Programming Tools for Mobile Manipulator Robots Justin Huang Chair of the Supervisory Committee: Maya Cakmak Computer Science & Engineering Mobile manipulator robots have the potential to help people in a variety of unstructured scenarios, such as in households or in the service industry. However, with so many possible scenarios, roboticists cannot pre-program every task the robot needs to do. Instead, we need tools that make robot programming simpler, faster, and accessible to a wider audience of programmers. To this end, this dissertation presents research on two main approaches to robot programming for non-expert users: direct programming and programming by imitation. These approaches, and the technologies that support them, are situated in a conceptual framework comprising three key components: 1) perception, 2) motion specification, and 3) task scripting. In the realm of perception, we present a user-friendly system for specifying and locating task-relevant landmarks and a novel, state-ofthe-art shelf detection algorithm. In the realm of motion specification, we enhanced existing programming by demonstration systems and created a new system for programming robots by visual imitation of a human demonstrator. Lastly, we developed a task scripting system that was deployed on a commercial robot. Throughout our work, we used system-level experiments, user studies, and case studies to show that non-roboticists could quickly learn to use our systems and program useful robot tasks. We conclude by describing possible extensions to our framework and envisioning directions for future work.
Using behavior data for creating awareness in motorists about emission

Personal data is increasingly used by cities to track the behavior of their inhabitants. While the data is often used to mainly provide information to the authorities, it can also be harnessed for providing information to the citizens in real-time. In an on-going research project on increasing the awareness of motorists w.r. t. the environmental consequences of their driving behavior, we make use of sensors, artificial intelligence, and real-time feedback to design an intervention. A key component for successful deployment of the system is data related to the personal driving behavior of individual motorists. Through this outset, we identify challenges and research questions that relate to the use of personal data in systems, which are designed to increase the quality of life of the inhabitants of the built environment.
A Goal Oriented Korean Dialog System based on Memory Network

1. 서론 오늘날 모바일은 우리 삶의 많은 부분을 차지하고 있 다. 또한 인공지능 기술의 발전으로 사람과 자연스러운 대화를 하는 시스템인 챗봇(chatbot)에 대한 관심이 늘 어나게 되었다. 자연스러운 대화를 나누기 위해서 챗봇 시스템은 사람이 하는 말의 의미를 파악하고 사용자가 원하는 것이 무엇인지 예측하여 이에 알맞은 답변을 할 수 있어야 한다. 이 연구는 사용자의 요구사항을 분석하고 말의 의미 를 파악하여 사용자의 요구에 맞는 답변을 주기 위해 수행하였다. 우선 DSCT 6가 제안한 방법을 활용하여 시 스템과의 대화를 기능에 따라 여러 단계의 task로 나누 었다. 그 후 문장을 띄어쓰기 및 WPM(Word Piece Model)을 이용하여 나눈 후 생성된 유닛을 BOW(Bag-of-Word) 기법을 이용하여 벡터(vector)의 형 태로 변환하였다. 성능 실험에서는 Dynamic Memory Network 및 MemN2N(End-To-End Memory Networks)를 사 용하여 시스템과의 대화의 정확도를 단계별로 측정하였 다.
Gestão de Regras de Autorização Usando Modelo Conceitual

Information security is an important concern for information systems development. Managing and executing authorization rules (which constrain who is allowed to execute some action over which information) are crucial issues. This work presents a tool for managing authorization rules part of a role-based framework for access control. Business users may use this module to specify authorization rules using an ERM (entity-relationship model). The module was implemented using open-source technologies, in a real organization that is responsible for controlling the access of several information systems to a corporate database. An example of its use is presented, illustrating its viability and efficacy.
Dynamic simulation of rigid bodies using programmable GPUs

The goal of this work is to create a program which simulates the dynamics of rigid bodies and their systems using GPGPU with an emphasis on speed and stability. The result is a physics engine that uses the CUDA architecture. It runs entirely on the GPU, handles collision detection, collision response and different forces like friction, gravity, contact forces, etc. It supports spheres, rods (which are similar to cylinders), springs, boxes and planes. It’s also possible to construct compound objects by connecting basic primitives.
Reuse Distance-based Victim Cache for Effective Utilisation of Hybrid Main Memory System

Hybrid main memories comprising DRAM and Non-volatile memories (NVM) are projected as potential replacements of the traditional DRAM-based memories. However, traditional cache management policies designed for improving the hit rate lack awareness of the comparative latency of read-write for NVM blocks where the write latency is more than the read latency. Therefore, developing cache management techniques that reduce costly write-backs of the NVM blocks, yet maintain a fair hit rate in the cache, is of paramount importance. We propose two techniques based on the use of a small victim cache associated with the last-level cache that helps in retaining on the chip critical DRAM and NVM blocks. Victim cache being a scarce resource, we intend to keep only performance-critical blocks in the victim cache by exploiting the idea of reuse distance. The first technique, Victim Cache Replacement Policy, works on the replacement policy of the victim cache by preferential eviction of DRAM blocks over NVM blocks. However, the second technique, Prioritized Partitioning of victim cache, logically partitions the victim cache, giving a smaller share to the DRAM blocks and a relatively larger share to the NVM blocks. Experimental evaluation on full-system simulator shows significant improvement in system performance and reduction in the number of write-backs to the NVM partition of the main memory compared to the baseline and existing technique. Additionally, NVM reads and DRAM miss rate are also improved, leading to further performance enhancement.
On autonomous robots

Autonomous robots are the intelligent agents par excellence. We frequently define a robot as a machine that senses, thinks and acts, i.e., an agent. They are distinguished from software agents in that robots are embodied agents, situated in the real world. As such, they are subject both to the joys and sorrows of the world. They can be touched and seen and heard (sometimes even smelled! ), they have physical dimensions, and they can exert force on other objects. These objects can be like a ball in the RoboCup or Mirosot robot soccer games, they can be parts to be assembled, airplanes to be washed, carpets to be vacuumed, terrain to be traversed or cameras to be aimed. On the other hand, since robots are agents in the world they are also subject to its physical laws, they have mass and inertia, their moving parts encounter friction and hence heat, no two parts are precisely alike, measurements are corrupted by noise, and alas, parts break. Of course, robots also contain computers, and hence they are also subject to the slings and arrows of computer misfortunes, both in hardware and software. Finally, the world into which we place these robots keeps changing, it is non-stationary and unstructured, so that we cannot predict its features accurately in advance.
From Artificial to Extended Intelligence in Music Composition

This article explores the relationship and disparities between human and computational creativity by addressing the following questions: How well are computational creativity systems currently performing at creative tasks? Could computers outperform human composers? And, if not, is computational creativity a utopia? Automatic composition systems are examined with respect to Boden’s three criteria of creativity (novelty, surprise and value), as well as their assumptions about the nature of creativity. As an alternative to a competitive relationship between human and computational creativity, the article proposes the concept of a distributed human–computer co-creativity, in which computational creativity extends – rather than replaces – human creativity, by expanding the space of creative possibilities.
Ghost in the PLC vs GhostBuster: on the feasibility of detecting pin control attack in Programmable Logic Controllers

Programmable Logic Controllers (PLCs) are a family of embedded devices used for physical process control. Similar to other embedded devices, PLCs are vulnerable to cyber attacks. Because they are used to control the physical processes of critical infrastructures, compromised PLCs constitute a significant security and safety risk. Previously we introduced specific attack against PLCs which can stealthily manipulate the physical process it controls by tampering with the device I/O at a low level. We implemented different variants of the attack in the form of a rootkit and a user-space malicious code over a candidate PLC. We then move forward with a tailored defense which specifically detect modification of PLCs I/O to detect our attack.
Human Posture Tracking and Classification through Stereo Vision and 3D Model Matching

The ability of detecting human postures is particularly important in several fields like ambient intelligence, surveillance, elderly care, and human-machine interaction. This problem has been studied in recent years in the computer vision community, but the proposed solutions still suffer from some limitations due to the difficulty of dealing with complex scenes (e.g., occlusions, different view points, etc.). In this article, we present a system for posture tracking and classification based on a stereo vision sensor. The system provides both a robust way to segment and track people in the scene and 3D information about tracked people. The proposed method is based on matching 3D data with a 3D human body model. Relevant points in the model are then tracked over time with temporal filters and a classification method based on hidden Markov models is used to recognize principal postures. Experimental results show the effectiveness of the system in determining human postures with different orientations of the people with respect to the stereo sensor, in presence of partial occlusions and under different environmental conditions.
Advanced SMS Based Voting Machine

This paper present the advanced SMS based electronic voting machine by using GSM based technology. In traditional ballot and EVM based system the authentication is provided by manually so the chance of fraud and errors may be occur duringvotingbut in the presented system the authentication is provided by Adhar card number, voter ID card number and date of birth. The whole information about the voter is previously stored in the ROM of AVR Atmega32 which works like election commission in this prototype.When the voter send SMS to the election commission for voting the detail of voter is checked by commission if the entered details are correct then he is valid for opting his valid candidate for voting otherwise give three chance to enter correct details. Once the voting is successful the particular voter will be blocked for that session. So this technique is more secure because it is totally based on SMS, no internet connection are required for voting procedures.
Development of a computer vision system to detect inactivity in group-housed pigs

Excessive inactivity in farm animals can be an early indication of illness. Traditional way for detecting excessive inactivity in pigs relies on manual inspection which can be laborious and especially time-consuming. This paper proposed a computer vision system that could detect inactivity of individual pigs housed in group pens which is potential in alarming the farmer of the animals concerned. The system recorded sequential depth images for the animals in a pen and implemented a proposed image processing and logic analysis scheme named as ‘DepInact’ to keep track of the inactive time of group-housed individual pigs over time. To verify the robustness and accuracy of the developed system, a total of 656 pairs of corresponding depth data and color images, consecutively taken 4 s apart from each other, were attained. The verification process involved manually identifying all pigs using the color images captured. The results of identification of all pigs that were inactive for more than the preset period of time by DepInact were compared to those by manual inspection through the color images captured. An accuracy of 85.7% was achieved using the verification data, thus demonstrating that the developed system is a viable alternative to manual detection of inactivity of group-housed pigs. Nevertheless, more research is still needed to improve the accuracy of the developed system. Keywords: Matlab, computer vision, sows, machine vision, depth image, pigs, inactivity DOI: 10.25165/j.ijabe. 20201301.5030 Citation: Ojukwu C C, Feng Y Z, Jia G F, Zhao H T, Tan H Q. Development of a computer vision system to detect inactivity in group-housed pigs. Int J Agric & Biol Eng, 2020; 13(1): 42–46.