Reviewerly/exHarmony huggingface dataset:
When is Multi-task Learning Beneficial for Low-Resource Noisy Code-switched User-generated Algerian Texts?

We investigate when is it beneficial to simultaneously learn representations for several tasks, in low-resource settings. For this, we work with noisy user-generated texts in Algerian, a low-resource non-standardised Arabic variety. That is, to mitigate the problem of the data scarcity, we experiment with jointly learning progressively 4 tasks, namely code-switch detection, named entity recognition, spell normalisation and correction, and identifying users’ sentiments. The selection of these tasks is motivated by the lack of labelled data for automatic morpho-syntactic or semantic sequence-tagging tasks for Algerian, in contrast to the case of much multi-task learning for NLP. Our empirical results show that multi-task learning is beneficial for some tasks in particular settings, and that the effect of each task on another, the order of the tasks, and the size of the training data of the task with more data do matter. Moreover, the data augmentation that we performed with no external resources has been shown to be beneficial for certain tasks.
Adolphe Nicolas (1936–2020)

This decorated researcher and educator made major contributions to understanding mantle processes and the creation of oceanic crust at spreading ridges, together with public outreach on climate change.
Reform and Exploration of “Computer Network” Course for International Students from "One Belt and One Road” Country

Based on the analysis of the characteristics of the students in the "One Belt and One Way" state, this paper gives a teaching reform plan for the "Computer Network" course. The specific measures of the reform include the use of multiple media for teaching and the adjustment of class time. After two years of teaching process comparison, it is found that these measures can significantly improve the learning interest and learning effect of foreign students.
Cyber Security – Careful what you click on

You may have seen in the news over the past weeks and months that local government organisations in Britain and elsewhere have been the victims of Cyber Attacks.
Application of window breaking theory and predictive nursing in laparoscopic radical resection of prostate cancer

ObjectiveTo observe the effect of the application of broken window theory and predictive nursing in laparoscopic radical resection of prostate cancer.MethodsFrom January, 2017 to December, 2018, 100 patients undergoing laparoscopic prostatectomy were randomly divided into an observation group (50 cases) and a control group (50 cases). The observation group was treated with window breaking theory and predictive nursing, and the control group with routine nursing. The postoperative complications (postoperative wound infection, pain, bleeding, deep vein thrombosis, gastrointestinal dysfunction, catheter shedding, delayed time off bed, and abnormal nurse-patient relationship) and surgical comfort (simplified comfort scale) were compared between the two groups.ResultsThe incidences of pain on waist and back, bleeding, gastrointestinal disorder, delayed time off bed, and abnormal nurse-patient relationship in the observation group were 0.00%, 0.00%, 8.00%, 2.00%, and 0.00%, which were significantly lower than those in the control group (all P<0. 05). The scores of environment, social culture, physiology, and psychology in the observation group were (23.16±1.46), (14.95±1.82), (30.16±3.16), and (29.46 ±2.34), which were significantly higher than those in the control group (all P<0.05).ConclusionThe application of window breaking theory and predictive nursing in laparoscopic radical prostatectomy can reduce postoperative complications and adverse nursing events and improve patients' comfort, so it has certain reference value for nursing.Key words: Window breaking theory; Predictive nursing; Laparoscope; Radical resection of prostate cancer
Gender Detection from Human Voice Using Tensor Analysis

Speech-based communication is one of the most preferred modes of communication for humans. The human voice contains several important information and clues that help in interpreting the voice message. The gender of the speaker can be accurately guessed by a person based on the received voice of a speaker. The knowledge of the speaker’s gender can be a great aid to design accurate speech recognition systems. GMM based classifier is a popular choice used for gender detection. In this paper, we propose a Tensor-based approach for detecting the gender of a speaker and discuss its implementation details for low resourceful languages. Experiments were conducted using the TIMIT and SHRUTI dataset. An average gender detection accuracy of 91% is recorded. Analysis of the results with the proposed method is presented in this paper.
Toward Good Governance: the Road of Rural High School Education Governance

Applying the concept of governance to the field of education can greatly reduce the disadvantages brought by the government as a single subject in traditional management, the multi-subject joint participation governance advocated by education governance can also maintain a stable, efficient, harmonious and fair education pattern, finally, good governance in education will be realized. In China, ordinary high school is a secondary education, which is a quasi-public product with positive externalities and should be provided by the government and the market in theory. However, in rural areas, there are some defects in the investment mode of education funds and school governance structure of ordinary high schools. As an ordinary high school in the stage of non-compulsory education, how to use the governance theory, draw on the relevant experience of OECD countries, coordinate the relationship between government, society and school, and take the road of good governance in rural areas is very worthy of educational research and attention.
DEVELOPMENTS IN ITALIAN CRIMINAL LAW ON CYBER-VIOLENCE AGAINST WOMEN

The growing availability of technologies, virtual content and the widespread diffusion of social media has led to the emergence of a problem - that of cyberviolence - now of global reach and with significant social consequences. In this changed criminological framework, the phenomenon of male violence against women is reinforced. However, the criminal law of recent decades has slowly evolved, providing ever greater protection for women who are victims of violence. Recognition within the Italian criminal system of the so-called cybercrime runs parallel to this adjustment process. The connections between cyberspace and forms of violence against women are evident, capable of harming an even more intimate sphere, that of sexuality and its confidentiality. This intertwining led to the coining of terms such as cyberstalking and cyber harassment in common language and the Italian criminal context. However, the jurisprudential reflection on the risk underlying the emerging phenomena called sexting, sextortion and revenge porn, appears limited. Criminal law, as conceived and created to operate in a static reality, inevitably finds its limitation in providing the victim with protection synchronized for the speed of the digital world. Criminal law thus finds itself reflecting on its adaptability to liquid modernity and necessarily having to dialogue with the new branch of computer law, where the new rights to be forgotten, to the confidentiality and protection of one's data, find space and greater protection. Finally, there is an urgent need to combine protection tools that release from procedural delays and can stop the circulation of harmful content with timescales closer to the flow of current time, to counter the plague of violence against women. Article visualizations:
Levy Library Guides: Authors' Rights in Scholarly Publishing: Publisher Policies on Self-Archiving

A guide to copyright in scholarly publishing, including negotiating with publishers, journal options, and self-archiving.
Background subtraction and object detection

A very simple method of object detection is to assume everything at the beginning of a video sequence is just “background” and therefore not interesting, but if something changes, then it is due to the appearance of an object that we want to detect. This can be used, for example, to process a security camera video. Most security camera video is very boring—imagine a camera in a warehouse looking down an aisle of inventory. Perhaps most of the time no one is there, so the video is just a static scene. Usually, no one watches this video in real time; instead, it is recorded. A security video is only reviewed when something happens, for example, if something is stolen. The investigator may need to fast forward through hours of static video to find the interesting parts. We can help by automatically noticing when something happens in the video and saving timestamps of these interesting parts of the video. These timestamps can be used to index the video, enabling the reviewer to access them directly without searching. Background subtraction and object detection is one way to do this.
Correction to: Paleoenvironmental changes across the Paleocene–Eocene boundary in West Central Sinai, Egypt: geochemical proxies

Following publication of the original article (Ghandour 2020), it was reported that the location map in Fig. 1 is modified after Speijer, but this was not mentioned in the caption of Fig. 1.
AI_ML_NIT_Patna @ TRAC - 2: Deep Learning Approach for Multi-lingual Aggression Identification.

This paper describes the details of developed models and results of team AI_ML_NIT_Patna for the shared task of TRAC - 2. The main objective of the said task is to identify the level of aggression and whether the comment is gendered based or not. The aggression level of each comment can be marked as either Overtly aggressive or Covertly aggressive or Non-aggressive. We have proposed two deep learning systems: Convolutional Neural Network and Long Short Term Memory with two different input text representations, FastText and One-hot embeddings. We have found that the LSTM model with FastText embedding is performing better than other models for Hindi and Bangla datasets but for the English dataset, the CNN model with FastText embedding has performed better. We have also found that the performances of One-hot embedding and pre-trained FastText embedding are comparable. Our system got 11th and 10th positions for English Sub-task A and Sub-task B, respectively, 8th and 7th positions, respectively for Hindi Sub-task A and Sub-task B and 7th and 6th positions for Bangla Sub-task A and Sub-task B, respectively among the total submitted systems.
Analysis of Streaming Video Content and Generation Relevant Contextual Advertising.

The article discusses the task of searching and selecting advertisements that match the content of the video. The problem is urgent due to the large amount of video and advertising content on the Internet. The authors set the task to develop information technology to solve this problem. The methods of recognizing the contours of objects using the Prewitt operator and searching for similar objects in streaming video based on perceptual hash functions are considered. An algorithm for recognizing speech from an audio track based on Mel-Frequency Cepstral Coefficients and an algorithm for searching for keywords in the text from a sound track based on TF-IDF are developed. The considered algorithms are used to determine contextual advertising for video content. The presented control example, the results of which indicate the efficiency of the algorithm.
Application effects of water and salt intake nursing intervention based on transtheoretical model in children with peritoneal dialysis

ObjectiveTo explore the application effects of water and salt intake nursing intervention based on transtheoretical model in children with peritoneal dialysis.MethodsTotally 96 pediatric patients undergoing peritoneal dialysis admitted in Zhengzhou Children's Hospital from March 2016 to March 2018 were selected and stratified into intervention (n=48) and control (n=48) groups. Patients in the control group received conventional nursing care, while patients in the intervention group received water and salt intake nursing derived from the transtheoretical model. The volume indicators, volume management behaviors and satisfaction of children in both groups were observed 3 months before and after nursing care in which volume management behaviors were evaluated with the volume management behavior scale and satisfaction was evaluated with our self-designed questionnaire.ResultsThe systolic pressure and ultrafiltration volume of the intervention group were lower than those of the control group, and there was statistically significant difference between the two groups (P 0.05) . The degree of ameliorated edema of the intervention group was better than that of the control group after nursing, and there was statistically significant difference between the two groups (P<0.05) . There was statistically significant difference between different items of the volume management behavior scale within the intervention group after nursing (P<0.05) . The patient's and family's satisfaction with nursing care in the intervention group was higher than that in the control group after nursing, and there was statistically significant difference between the two groups (P<0.05) .ConclusionsWater and salt intake nursing intervention based on transtheoretical model can improve their ability of volume management, volume status and quality of life.Key words: Peritoneal dialysis; Child; Water and salt intake nursing; Transtheoretical model; Intervention
PEER REVIEW Water Management in The Primary Channel of Kumpeh Swamp Irrigation Area

The development of swamps for agricultural activities, is one of the efforts to maintain rice self-sufficiency in Indonesia, Kumpeh swamps Irrigation Area in Jambi Province, is, one of the swamps developed for agricultural activities with a potential of around 1,033.6 Ha. The Kumpeh swampy agricultural land development system, uses two primary channels to channel irrigation water or discharge excess water. The main problem in the primary channel of the Kumpeh swamps Irrigation Area is during the rainy season, there is excess water, due to the inclusion of water discharge from the Batanghari River, resulting in inundation between 50 cm to 100 cm, even at some point of the road that is the access of residents to get to the land waterlogged agriculture and plantations. The purpose of this study is to analysis how much excess water is and how to develop drainage management in the Kumpeh swamp irrigation area primary cannal, so that flood events do not occur again. The results of the analysis of average annual rainfall data were obtained at 205.5 mm. Based on the results of the measurement of discharge, obtained the average amount of discharge when it rains, amounting to 39.07 m3/s. With a wet cross section area of the channel covering an area of 29.66 m2, the flood height of 1.44 m. With the height of the embankment from the bottom of the canal was only 1.40 m, the water overflowed and inundated the surrounding area, which caused crop failure. The condition is exacerbated by the overflow of the Batanghari river, and entering through the primary channel or the Kumpeh river, which is the main source of irrigation water. From the analysis results, for handling so that water does not always run off, it is necessary to rehabilitate the width of the channel, in the primary channel from upstream of the intake to downstream (Outlet) secondary channel, from 6 m to 6,5 m, and height the embankment was raised to 1.75 m from the initial height of 1.40 m, as well as the installation of floodgates
Adverse reactions of captopril combined with diuretics in the treatment of hypertension

ObjectiveTo investigate the adverse reactions of captopril combined with diuretics in the treatment of hypertension.MethodsA total of 162 hypertensive patients admitted and treated in the First People’sHospital of Shangqiu from March 2017 to May 2018 were selected for this study. All of the patients were divided into reference group and experimental group according to the method of random blind selection, with 81 cases in each group. The reference group was treated with captopril, and the experimental group was treated with captopril and diuretic drugs. The adverse reactions and treatment effects after medication were compared between the two groups.ResultThe incidence of adverse reactions was 11.11% in the reference group and 9.88% in the experimental group, there was no significant difference between the two groups (P>0.05). At the same time, the total effective rate of treatment in the experimental group was higher than that in the control group, and the difference was significant (P<0.05).ConclusionsThe combination of captopril and diuretics in the treatment of hypertensive patients will not cause serious adverse reactions. It is safe and effective, and has clinical popularization value.Key words: Captopril; Diuretic; High blood pressure; Adverse reactions
El desarrollo de las habilidades comunicativas orales en lengua italiana/ Developing oral communicative skills in the Italian Language

Objective: The teaching and learning process of the Italian language is still facing problems related to students’ difficulties in oral communication in the foreign language. This article aims at devising a system of interactive activities that contribute to the development of communication skills.Methods: After completing a theoretical framework, the authors conducted surveys, interviews, and observation to collect data leading to students’ oral communication skill assessment. Finally, experts’ criteria were used to evaluate the effectiveness of the proposal.Result: The main finding is a proposal of a system of structured oral communication skills aimed at improving the production and reception of discourse and interaction in the Italian language among Spanish speakers.Conclusion: The practice of oral communicative activities as a system, with a focus on the needs of student expression and an organization that distinguishes the production, the reception of speech and interaction favors the development of oral communication skills.
Toward HTTP adaptive streaming

With increasing popularity of smart devices and better bandwidth allocations for end users, online video streaming demand is rising. As an Over-the-Top (OTT) service provider, we implemented HTTP Adaptive Streaming (HAS) technology to address this concerns by considering limitations of legacy streaming protocols. This study demonstrates some of essential implementation challenges during the transition from RTMP-based streaming to HAS technology in DIGITURK OTT platforms.
Construction and application of information system of nursing quality management based on PDCA vision field

ObjectiveTo design and apply the nursing quality management system of our hospital in order to strengthen nursing informationization construction, and improve management efficiency of nursing quality.MethodsBased on the original design of nursing management system, the quality management system which take nursing as the main part was researched and developed by us and applied to the clinical. Our nursing management department combined PDCA cycle with our nursing quality management, and developed nursing unit quality evaluation criteria, each ward were checked by evaluating group of nursing quality management, the analysis and corrective measures should be asked to put forward.ResultsFrom July to December in 2016, nursing accidents, pressure ulcer, tumbling, pipe slippage, medication, errors and all adverse events incidence compared with 2015 year dropped 60.00% (0.03/0.05), 43.33% (0.13/0.30), 50.00% (0.04/0.08), 40.00% (0.04/0.10), 33.33% (0.01/0.03),43.85% (0.25/0.57), and all adverse events in 2016 compared to the period of 2015 had statistically difference (χ2=7.266, P<0.05), and the problem rectification rate was significantly higher than before(χ2=-3.212--2.637, P<0.05).ConclusionThe construction and application of nursing quality management system realized the informationization and resource sharing of nursing quality management, it will help the quality of management to upgrade continuously and improve the efficiency of nursing quality management.Key words: PDCA; Informatization; Nursing quality; Nursing management
PERANCANGAN SISTEM INFORMASI PENJAMINAN MUTU PERGURUAN TINGGI BIDANG SUMBER DAYA MANUSIA

Human resources (HR) in the university environment consisting of lecturers and supporting staff have a very strategic position, because it has a direct influence on the learning process, graduate quality and competitive output patterns. The effectiveness of performance in the teaching and learning process and the improvement of the academic atmosphere are strongly influenced by the quality standardization to be achieved as well as the quality assurance process that must be carried out by a university, one of them in the field of human resources (HR). The requirements that must be fulfilled so that the implementation of the HR quality assurance system in a university can be implemented properly is the availability of an accurate database that can be used in every decision making. For this reason, it is necessary to develop an HR quality assurance information system in a university environment. This HR quality assurance information system can function to make it easier for universities to carry out quality assurance, so that the quality assurance process can be carried out through stages that are strung together and supported by databases (database), management information systems, and integrated decision support systems . The stages carried out in designing this information system include needs analysis, process model design, software requirements analysis, and design.
Improving Students’ Reading Comprehension of Narrative Text Through Cooperative Story Mapping Technique

Narrative Text has been used in the National Examination of English Language for students in Junior High School in Indonesia. This research attempts to help the students in comprehending the Narrative Text especially the elements of the story, main ideas and spesific informations. This classroom action research study focuses on the use of Cooperative Story Mapping technique to improve students’ reading comprehension. The subjects of the research were 27 students of class B in SMP Tarsisius. The research findings showed that students’ reading comprehension enhanced through the use of Cooperative Story Mapping technique. The students actively engaged in the story mapping process. It made much easier for the students to identify the elements of the story and provided creative way for the teacher in solving the problem for teaching a narrative text. Students enjoyed reading the narrative text by using Cooperative Story Mapping. Future studies should be developed by analyzing the topic in experimental point of view so it creates an ideal learning experience.