Reviewerly/exHarmony huggingface dataset:
Chemotherapy ambulatory during the covid-19 pandemic – an experience report

In 2020, the world experienced a pandemic outbreak, caused by the new coronavirus, called SARS-CoV-2. The COVID-19 pandemic has ravaged the world with unpredictable speed and intensity. The subsequent weeks proved to be challenging in the care of the cancer patient. The objective of this work is to describe the scenario of assistance during the pandemic in the chemotherapy. This is a descriptive study based on changes in the care flows for cancer patients. With changes, adapting them to the new context and maintaining the quality of care for patients, communication through guidelines has become one of the best tools.
Language Models: The Most Important Compute Challenge of Our Time (Keynote)

ChatGPT recently became one of the fastest growing new applications in history, thanks to its intriguing text generation capabilities that are able to answer questions, write poetry, and even problem solve. Large Language Models are now being integrated in fundamental ways into products around the tech industry. The possibilities are extraordinary, but much research remains to make these systems reliable and trustworthy, as well as integrate them into applications seamlessly. Additionally, the computational challenges behind large language modeling are also quite important. Systems for training and deploying these models must be highly scalable and run at extreme efficiency, because the amount of work necessary to converge a model can be extraordinarily large. The cost of deploying these models is a barrier to their deployment and must be lowered significantly. In this talk, I’ll discuss the work we have been doing at NVIDIA to optimize systems for Large Language Model training and inference, and highlight some of the challenges that remain for future work.
Research on the implementation status and improvement strategies of cloud classroom personality teaching in elementary schools

Currently, the development of students' personality and the cultivation of innovative talents are regarded as an important task of education for each country, the personalized teaching has become the goal of the new curriculum reform in China. With the continuous development of cloud computing technology, network cloud platform education resources are being used more and more in the teaching process, the " personalized teaching of the cloud classroom" in primary schools has gradually become the highlight for the reform and research of the basic education in Nanjing. Since it was officially launched in 2010, Nanjing has 1380 high-quality courses in the cloud classroom, trained 775 backbone teachers, explored new teaching models, accumulated a wealth of teaching cases. At the same time, in the implementation process, it also faces many problems and challenges related to educational concept, technology and application. This study use the literature design and case study method to define the relevant conceptss in analyze the teaching. The result of this study shown that the use of cloud classroom teaching can provide teachers visual expression tools for the smooth implementation of teaching, reduce the teaching burden of teachers, and provide students with a teaching environment rich in pictures and texts, stimulate learning interest and improve learning efficiency.
Branding and Online Cataloging of CV. Galaxy Stone

Galaxy Stone is a company that is engaged in the craft of various products made from natural stones with the main product, washbasin. When a pandemic happens, the interest in washbasin increase. At the same time, many target audiences still did not know about Galaxy Stone, which caused a lack of trust from the target audience. Also, the target audience feels difficulties when looking at the Galaxy Stone catalog because they did not know the differences between every product. To solve the problems above, branding needs to be made to build the brand image as a store that sells customizable interior products to provide customer comfort. Also, a catalog website that contains products catalog with comparison features is needed. Before making this design, several methods were used to collect data, namely observation, questionnaire, interviews, documentation, and literature studies. The concept in the design is minimalist so the brand looks elegant and luxurious. The media that are used in this design are stationary, social media, website, and marketplace. Hopefully, through the branding design and online catalog, the brand will get the target audience’s trust and more easily view the Galaxy Stone product catalog.
Reading, Writing and Reading Comprehension: Coexistence between Printed and Digital Media

Culture is an extremely complex phenomenon that is linked not only to the communicative function but also to social practices. Reading and writing are constructs that have accompanied human beings since the appearance of the codex (ancient handwritten books), through the printing press. Nowadays, digital media, and even printed media, have great relevance, especially if we talk about informative vehicles possessors and transmitters of knowledge, which have an audience with significant reading and writing habits. The call is then to learn to make a joint and avant-garde use of print and digital media to strengthen the development of reading, writing, and reading comprehension from the school environment.
Hubungan Keterlibatan Orang Tua dan Motivasi Membaca dengan Pemahaman Bacaan pada Anak Usia Pembaca Awal

Literacy skills are important to develop especially in early reading age children. Based on a literature review, it is known that there is a relationship between parental involvement and reading motivation on reading comprehension in early reading children. The research was conducted on students and guardian parents of class II SDI Raudlatul Jannah with an age range of 7-8 years. Subjects from the target population of this study were determined based on purposive sampling technique. Based on the research results, the relationship between parental involvement and motivation to read with reading comprehension is not significant. The research results may be influenced by the learning methods in schools and the number of research samples.
Benefits and Drawbacks of Online Teaching Reading in the Post-COVID-19 Era

The study is based on the research which attempted to investigate the benefits and drawbacks of online teaching reading in the post-COVID-19 era. The objectives of the study were (1) to find out the benefits and drawbacks of online teaching reading in the post-COVID-19 and (2) to find out how the English teacher implements online teaching reading in the post-COVID-19. The researchers selected the VII B class consisting of 21 students and one English teacher of SMP Muhammadiyah 9 Gemuh as the research subjects. This study is qualitative research with a case study as a research method. The instruments of this study were a questionnaire, interviews, and observation. The study revealed that online teaching reading in the post-COVID-19 era had several benefits such as improving students’ engagement, improving students’ understanding, providing a variety of reading materials, and increasing the teacher’s creativity. Besides, the drawbacks faced by the students were unstable internet connectivity, financial issue, and inability to manage time. In addition, the results of the observation and interview showed that the English teacher at SMP Muhammadiyah 9 Gemuh applied a hybrid type of online teaching using four online learning platforms such as Kahoot!, QuizWhizzer, WhatsApp Group, and Google Classroom.
Teachers’ Code-Switching in English Language Setting

This research aimed to determine the most commonly utilized forms and the reasons for using the code-switching strategy in the context of language teaching and learning. The subjects were three teachers who practiced their teaching at different English language courses in Pekanbaru. A qualitative design was employed as the method of the research. Moreover, the data collection was conducted through observation of video and audio recordings of the classes and interviews with the teachers. Based on data analysis, the teachers implemented intra-sentential and inter-sentential code-switching. Furthermore, the results revealed that teachers consciously employed this method for multiple reasons, such as achieving communication goals, managing classrooms, and as a discourse method.&#x0D; Keywords: Code-switching, language teaching
The Analysis of Students’ Difficulties in Speaking English through Voice Note

The role of technology in the world of education cannot be separated because technology is actually the result of education and learning process. The use of technology becomes a support in the implementation of a success in teaching and learning activities. One of the technologies that can be used in learning English is to use a platform or voice note feature. Therefore, this study examines students' difficulties in learning English through voice note technology. The method used in this research is qualitative using a descriptive approach. Data were obtained through observation and interviews related to students' problems and obstacles in speaking skills using voice notes. The data were analyzed in a descriptive way by following the stages of data reduction, data display and conclusion. The results showed that students' difficulties in speaking skills were divided into two, namely internal and external. Internal factors include lack of self-confidence, courage, inspector, lack of understanding of English vocabulary. While external factors include technological sophistication, internet quota, learning resources or references.
Pengaruh Metode Pembelajaran Berbasis Adaptasi Teknologi Terhadap Motivasi Belajar Siswa SD Inpres Borong Jambu II Kota Makassar

This study aimed to determine the effect of technology adaptation-based learning methods on student motivation in class V/B SD Inpres Borong Jambu II Makassar City. This research is a Pre-Experimental experimental research using a quantitative approach. The sample of this research is class V/B SD Inpres Borong Jambu II, totaling 30 people. The research instruments used were observation sheets and questionnaires to strengthen students’ learning motivation. After analyzing the data, the authors found that the implementation of the technology adaptation- based learning method with a score of 3.5 in the very good category and student activities with a score of 3.4 in the good category. The pretest score on student responsens using technology adaptation- based learning methods is 73.23 and posttest score for student responses to technology-based learning methods with a score of 88.20. so it can be concluded that the learning motivation of students in class V/B SD Inpres Borong Jambu II Makassar city by using learning methods based on technology adaptation is very effective.
Multi-Party Litigation in Tanzania: A Case for Class Action Suits

Purpose: In suits involving numerous parties, legal technicalities are involved. Such suits call for special litigation devices. Multiparty litigation devices in Tanzania can take different forms such as joinder, next of kin, representative suits and class action suits. However, representative suit is currently the main means of handling claims for compensation involving large groups of similarly affected victims.&#x0D; Methodology: This study carries out an appraisal of the legal framework in Tanzania concerning multiparty litigation devices. It is shown that too strict an adherence to same interest and locus standi requirements in Tanzania makes multiparty litigation devices too restrictive. In addition, multiparty litigation devices for group actions are not clearly provided for.&#x0D; Findings: Litigation devices have a great potential of helping parties to realize effective right to remedy. In order for litigation devices to effectively play that role, they should be friendly, timely and affordable. Similarly, such devices should be properly managed and clearly provided for under legislations. &#x0D; Unique Contribution to Theory, Practice and Policy: Currently, a representative suit in Tanzania is interchangeably used both in public interest litigation and group action. In order to guarantee proper management of group actions, a case for class action rules is made. Indeed, a call for reform of the legal framework is recommended in this study to the effect that class action rules should be enacted in form of regulations or under a specific legislation.
Reading Difficulties and Reading Strategies of Grade 10 Students in the New Normal

This study utilized the descriptive research design to determine the reading difficulties of one hundred Grade 10 students who scored the least in the reading inventory in a public high school in Negros Occidental in the School Year 2021-2022 in terms of vocabulary and reading comprehension. Furthermore, their reading strategies were investigated. To solicit suggestions for building better reading skills, fifty of the selected respondents were interviewed through convenience sampling. The results reveal the following: (a) The students had difficulty understanding specialized words; (b) The students had difficulty answering critical questions; (c) The students used their background knowledge as their reading strategy; and (d) The students suggested that tutorials and spelling tests be conducted for their reading skills to improve. It was recommended that students resolve to better their reading skills and that teachers, parents, and curriculum specialists pay rapt attention to helping students gain reading proficiency.
Expert System to Diagnose Mental Health Disorders Using the Dempster Shafer Algorithm

This study aims to address the challenge of diagnosing mental disorders by using an expert system to provide accurate and efficient diagnosis. Mental health is crucial for achieving harmony in life, and the ability to face problems, feel happiness, and maintain positivity are all essential aspects of this. However, diagnosing mental disorders can be difficult and time-consuming, as symptoms may vary depending on the patient's condition and lifestyle. The study utilizes symptom data from 30 patients with 6 types of mental disorders, with each symptom assigned a weighted value of belief for the corresponding disorder. The Dempster Shafer algorithm is then used to process this data and obtain a total confidence value for each disorder. The results show a 97% confidence value for the patient's mental disorder, which can help psychologists make informed decisions and provide appropriate treatment.
A STUDY TO ASSESS EFFECTIVENESS OF THE PLANNED TEACHING PROGRAMME REGARDING THE IMPACT OF OVER USE OF MOBILE PHONES AMONG HIGH SCHOOL CHILDREN IN SELECTED SCHOOLS AT JAIPUR (RAJ.)

Introduction: A high level of mobile telephone use is associated with lower levels of self-rated health, higher BMI, and engaging in health-compromising behaviours.Mobile phone usage and SMS presents a prime delivery channel for health behaviour change interventions because it has high penetration in populations of lower sociodemographic position and populations with poorer health.Methods: An evaluative research approach, pre-experimental one group pre-test and post-test research design was adopted.Convenient sampling technique was used to select 60 samples from selected schools.Results: Assessment of the level of pre-test knowledge score among high school children depicts that, majority 40 (67%) of respondents had average knowledge scores and 15(25%) of them had poor knowledge scores and none of the respondents had very poor 5(8%) possessed very poor, good and very good knowledge score category. Conclusion:The study concluded that there was a significant increase in knowledge after the planned teaching programme.Hence it showed that PTP was effective.
RANCANG BANGUN SISTEM KONTROL MOTOR LISTRIK BERBASIS RASPBERRY PI

This study will develop and execute control of DC motors and servo motors on a 4WD robot controlled by a keypad and equipped with grippers and a USB webcam to broadcast video so that the gripper robot vehicle can view items in front of it. Control actions were implemented using Python-based user defined programming on a Raspberry Pi 4 with motor driver controller. The challenge described in this article is how to optimize a tool design utilizing a driver loaded directly on an SBC. The goal of this study is to create technical ideas in the area of electric motor control and mechatronics in the form of applications. The design, production, and testing stages are followed utilizing the Raspberry Pi, RPi Motor Driver Board, and Python as the major components. The study's findings include a prototype wheeled robot with a camera for image capture and an actuator in the form of a servo motor with a gripper/clamp as an attachment. The study's conclusion is that the design outcomes of electric motor control utilizing Raspberry Pi-based can perform more efficiently.
SISTEM INFORMASI UNIT KEGIATAN MAHASISWA DAN HIMPUNAN MAHASISWA JURUSAN POLITEKNIK NEGERI FAKFAK

Today's information systems are inseparable because they demand a company to create an integrated system that allows others to access the information they need from the company. The Student Activity Unit or UKM organization and the Departmental Student Association (HMJ) are two that are affected, making it simpler for students to obtain information, which is one of the most crucial requirements that must be met. Numerous student organizations are supervised by the Fakfak State Polytechnic and are grouped under the Student Activity Unit (UKM). Student activity units and major student associations at the Fakfak State Polytechnic currently do not have an integrated information system that explains management profiles, vision and mission, and work programs. This has an impact on the lack of information obtained by students and the public regarding UKM and HMJ at the Fakfak State Polytechnic. Therefore, efforts are needed to build and improve an information exchange system in the form of a website-based application for student activity units and departmental student associations that can manage information from each organization in an integrated manner to be able to overcome these problems. The information system that will be built and developed is a web-based application that makes it easier for users to access information and also acts as a promotional medium.
ANALISA POLA DATA PENYAKIT DI KLINIK GIGI RDC DENGAN MENERAPKAN METODE ASSOCIATION

Health is an expensive thing, so keeping it healthy is one of our obligations. To improve health, mastery of technology must increase, and if used correctly, technology use can be steered. For this reason, technology is used to analyze a patient or a patient's disease so that the hospital or clinic can serve it well. One way to solve this problem is to search for patterns or association rules (association rules) in the database whose owner has a relationship with data mining to find specific rules. A priori algorithmic approaches can perform searches on historical data to identify data patterns based on previously identified features. In this study, the approval rating was 20% and the trust rating was 80%. Among them, support is the percentage value of the combination of complaint items in the database, and confidence is the certainty of the relationship between items in the rules generated and processed by Excel and Tanagra software. The result is consistent with the highest RDC clinical case. The base value is 12.24 and the confidence level is 80.00%. and dental consultations. Therefore, if a patient complains about dental veneers, it is likely that 80.0% of the patients will consult first
Deteksi dan Klasifikasi Penyakit Pada Daun Kopi Menggunakan Yolov7

In improving the economy of developing countries, the highest export commodity is the coffee plant. Indonesia produces 639 thousand tons of coffee every year. Therefore, establishing Indonesia as 4th in the world. However, decreased productivity due to diseases of the coffee plant leaves can reduce the productivity of coffee production. Leaf diseases include Miner, Rust, Phoma, and Cercospora. Based on extant issues in agriculture, utilization such as artificial intelligence, Computer Vision, and Bigdata can decrease the costs incurred to trade with plant diseases. With significant advances in artificial intelligence in Machine Learning comes the Deep Learning method. YOLO is Deep Learning seeded as an object detection compared to other approaches. YOLOv7 is the latest version of the YOLO architecture that can detect speed, high Precision, easy-to-train data, and implementation. The main contribution of this research was to develop using model-based YOLOv7, use coffee leaf costume datasets, data augmentation, and preprocessing datasets. This research utilizes Google Colab and GPU Tesla T4 to get a result F1-score of 0.93, Precision of 0.926, Recall of 0.932, mAP@IoU .5 of 0.956, mAP@IoU .5:.95 of 0.927 for the entire trained data class. However, the best result is the binary class to get a result F1-score of 0.99, Precision of 0.991, Recall of 1, mAP@IoU .5 of 0.998, mAP@IoU .5:.95 of 0.994.
Event Co-reference Disambiguation with Enhanced Semantics of Multi-layer Attention

During communication operation and maintenance, event co-reference disambiguation can discover the association between events with event similarity calculation, facilitating troubleshooting and recovery. Traditionally characters or simple semantic matching is used to calculate event similarity. It is difficult to reflect the influence of different features of events, resulting in low accuracy of disambiguation. To solve this problems, we propose an event co-reference disambiguation model with the enhanced semantics of multi-layer attention in the communication field. Our model includes a single event feature encoder, event encoder, and event similarity calculation. The key contribution is that we use word attention to reflect the importance of different words in event features. Furthermore, we highlight the importance of different features at different levels by exploiting feature attention. Finally, the proposed model yields significant performance compared with other popular methods on the network fault data in the communication field provided by Huawei.
MobileSky: Real-Time Sky Replacement for Mobile AR

We present <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MobileSky</i> , the first automatic method for real-time high-quality sky replacement for mobile AR applications. The primary challenge of this task is how to extract sky regions in camera feed both quickly and accurately. While the problem of sky replacement is not new, previous methods mainly concern extraction quality rather than efficiency, limiting their application to our task. We aim to provide higher quality, both spatially and temporally consistent sky mask maps for all camera frames in real time. To this end, we develop a novel framework that combines a new deep semantic network called <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">FSNet</i> with novel post-processing refinement steps. By leveraging IMU data, we also propose new sky-aware constraints such as temporal consistency, position consistency, and color consistency to help refine the weakly classified part of the segmentation output. Experiments show that our method achieves an average of around 30 FPS on off-the-shelf smartphones and outperforms the state-of-the-art sky replacement methods in terms of execution speed and quality. In the meantime, our mask maps appear to be visually more stable across frames. Our fast sky replacement method enables several applications, such as AR advertising, art making, generating fantasy celestial objects, visually learning about weather phenomena, and advanced video-based visual effects. To facilitate future research, we also create a new video dataset containing annotated sky regions with IMU data.