bluuebunny/crossref_metadata_2025 huggingface dataset:
Best Products with TOPSIS Method and Sales Forecasting with Weighted Moving Average
Authors: Fahmi Mohamad Helmi Ilman , Al Amin Imam Husni
Published: March 2022

In a company engaged in the sale and purchase of products can not be separated from the calculation of profit or loss that is the main factor for the company's progress. However, in certain companies such as minimarkets and convenience stores, it is not easy to record company profits and losses. This of course requires a system that can help companies in determining sales strategies or at least a picture of sales in the future. Things that can be done to help these problems is to create a system that forecast sales or forecasting. One method that can be used to make sales forecasts is the wighted moving average method. However, due to the large number of products sold in minimarkets with different values, of course there must be other methods that can filter products so that forecasting can be more effective. One way to handle this is to use a product ranking system with the Techinique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The topsis method was chosen because the calculation is very detailed and structured, so that it can maximize the ranking value. By combining sales forecasts and product ranking is expected to create a system that can help companies in determining sales strategies in the future. Later this system is combined with the point of sale system to get accurate sales results. This system is designed using PHP and Javascript programming languages, then the database is stored in MySQL.
Penerapan Fuzzy Tsukamoto pada Alat Deteksi Penyakit Hipoksemia, Hipotermia, Hipertensi, dan Diabetes untuk Health Care Kiosk
Authors: Yuniarti Heny , Sigit Riyanto , Rofiq Muhammad Aunur
Published: March 2022

Most of people in Indonesia need fast, right, and accurate health medical service. But as we know in hospital takes many time just for check our health condition. This research make a Health Care Kiosk for medical check up, without using a doctor, so that kiosk can detect many deseases automatically. This research focused on 4 deseases such as hypothermia, hypoxemia, hypertension and diabetes. System using Embedded PC for data processing automatically. There are many medical sensor such as thermometer, heart rate sensor, blood pressure sensor, SPO2 sensor, and glucometer sensor for check health condition. System can make a decision if that patient healthy or not automatically because it uses fuzzy method for that decision. The result of this paper is this system can detect every deseases and that error for each sensor are body temperature has 1.05% error, oxygen level has 1.90% error, heart rate has 5.78% error, blood pressure sistolic has 4.16% error, blood pressure diastolic has 4.87% error and glucosa level in blood has 4.01% error. This system integrated with database MySQL for save that result. The accuracy from fuzzy method is 100% right and fuzzy tsukamoto can process input well.
Analisis User Interface pada Media Pembelajaran Bahasa Inggris Berbasis Game Visual Novel
Authors: Deli Deli
Published: March 2022

Evaluasi Heuristik dalam penerapan pengevaluasian terhadap sebuah sistem dinilai mampu untuk digunakan dalam menganalisa maupun menguji tingkat kemudahan dalam pengoperasian media pembelajaran Bahasa inggris berbasis visual novel. Pelaksanaan evaluasi tidak membatasi penilaian dan pengukuran terhadap tingkat usability sistem dengan melibatkan pengguna akhir dalam proses pengerjaan dan pengujian. Oleh sebab itulah maka diperlukan evaluasi heuristic guna mengetahui seberapa tinggi tingkat usability media pembelajaran Bahasa inggris berbasis visual novel dalam pemanfaatan media belajar. Sampel penelitian ditujukan pada mahasiswa semester satu sistem informasi guna memberikan penilaian terhadap user interface media pembelajaran tersebut dengan menggunakan probability sampling, proportionate stratified random sampling sebagai fokus Teknik penarikan sampling yang akan mengisi kuesioner. Data dalam penelitian akan dianalisis dengan menggunakan mixed method analisis kualitiatif dan kuantitatif deskriptif. Berdasarkan dengan hasil kajian dinyatakan bahwa penggunaan evaluasi heuristic mampu digunakan sebagai metode pilihan dalam pengujian sistem memenuhi kriteria tingkat usability yang baik dan mudah dioperasikan pengguna.
Penerapan Algoritma Support Vector Machine (SVM) untuk Klasifikasi Berita Hoax Covid-19
Authors: Ropikoh Isnin Apriyatin , Abdulhakim Rijal , Enri Ultach , Sulistiyowati Nina
Published: March 2022

Hoax merupakan informasi yang dibuat oleh orang tidak bertanggung jawab dengan tujuan membuat orang lain mempercayai sesuatu yang tidak benar. Berita hoax yang paling mudah beredar adalah hoax tentang kesehatan. Di Indonesia sendiri semenjak diberitakan masuknya virus Covid-19, berita hoax tentang hal itu terus meningkat berdasarkan data yang dirilis oleh Kominfo periode Januari-Agustus 2020. Agar terhindar dari berita hoax ialah dengan lebih teliti membaca judul berita pada situs yang terpercaya seperti Kompas. Karena itu penelitian ini akan mengembangkan dan menganalisis model klasifikasi berita hoax Covid-19 dengan menerapkan algoritma Support Vector Machine (SVM) dengan metodologi Knowledge Discovery in Databases (KDD). Studi kasus penelitian ini dibagi dalam 2 kategori yaitu berita hoax yang didapat dari situs Trunbackhoax & Hoax buster sedangkan berita bukan hoax diambil dari situs berita Kompas. Hasil penelitian menyatakan bahwa Algoritma Support Vector Machine (SVM) dengan kernel linear memiliki hasil prediksi yang bagus pada skenario 3 (80:20) karena model sanggup dalam mengklasifikasikan berita hoax dan bukan hoax Covid-19. Akurasi yang didapat pada skenario 3  juga memiliki nilai akurasi tertinggi sebesar 97,06%. Sedangkan pada kernel RBF memiliki akurasi terendah pada skenario 4 (90:10) yaitu 90.46% dan model kurang bagus dalam mengklasifikasikan berita hoax maupun bukan hoax Covid-19.
16 de abril. Una propuesta de inicio de año prehispánico para el Cuauhnáhuac
Authors: Granados Saucedo Francisco
Published: March 2022

Esta obra tiene como propósito hurgar en las huellas ocultas, pero también indelebles, que dejaron los matlatzincas en su estadía en el Cuauhnáhuac prehispánico. No sobrevivieron las fuentes indígenas de manufactura pictográfica, pero sí las montañas y puntos solares donde los sacerdote-astrónomos del Cuauhnáhuac fijaron las diversas fechas que dieron estructura a su complejo sistema calendárico. Una de estas fechas, de suma importancia, quedó consignada por la salida del Sol sobre un volcán de emblemática importancia: el Popocatépetl. Sobre esta relevante montaña nace el Sol el 16 de abril, lo que marca el inicio del año prehispánico matlatzina, como también ocurría en el cerro El Toloche, situado en el corazón de la ciudad de Toluca, Estado de México, capital espiritual de este grupo de ascendencia otomiana. Finalmente, en esta obra se expone una serie de fechas solares e intervalos numéricos que dan muestra de la estructura del calendario matlatzinca que probablemente funcionó en el Cuauhnáhuac antes de la llegada de los tlahuicas.
Data Analysis study based on Consumer Behavior on Soft Drinks Produced by Coca-Cola India in North Region
Authors: Abhishek  , (Prof) Dr. Kavita.A.Jain
Published: March 2022

The Coca-Cola Plant is one of the biggest names in FMCG market in India. It covers 60 percent of soft drink market and also covers drinking water market of India. The Coca-Cola is itself a popular brand with soft drink products among every person from child to old age people. This work mainly presents an analytical study on consumer behavior on soft drinks related to coca-cola India plant. The study was held in the 4 region of India which are Chandigarh, Ambala, Rohtak and Nabipur. Data was collected by the survey and some important observations are concluded. Out of 310 respondents 59.67% respondents are male and 40.32% are female respondents were participated in this survey. The survey is based on age, qualification and area of residence. Maximum male in this region are in favor for stop unhealthy practice in soft drink companies by government. It covers mainly four areas in North region and analysis is done on basis of respondents score.
Automated classification of eight different Electroencephalogram (EEG) bands using hybrid of Fast Fourier Transform (FFT) with machine learning methods
Authors: Md Nor Nur Shahirah , Malim Nurul Hashimah Ahamed Hassain , Paskhal Rostam Nur Aqilah , Thomas J Joshua , Effendy Mohamad Azmeer , Hassan Zurina
Published: March 2022

Analysing and processing the EEG dataset is crucial. Countless actions have been taken to ensure that the researcher in brain studies always achieves informative data and produces notable findings. There are several standard procedures to produce an informative result in analysing the EEG data. However, the techniques used in each standard procedure might be different for the researcher or data analyst because they have their preferences to suit the purpose of their experiments to adapt with the dataset collected. Not only the current manual method is time-consuming, but the main challenges are that researchers need to analyse only a small portion of the brain signals that are the most relevant to be observed through the analysis of several bands such as Very low, Delta, Theta, Alpha-1, Alpha-2, Beta-1, Beta-2, and Gamma. Therefore, one of the best alternatives is to automate the process of classifying the eight bands and extract the most relevant features. Hence, this paper proposed an automated classification method and feature extraction method through hybridising Fast Fourier Transform (FFT) with three different machine learning methods (KNN, SVM, and ANN) that can improve the efficiency of EEG analysis. Based on the result, the FFT + SVM method gives a 100% accuracy and successfully classified the bands into different of eight EEG bands accurately.
The Zero Active Mass Condition in Friedmann-Robertson-Walker Cosmologies
Authors: Melia Fulvio
Published: March 2022

Many cosmological measurements today suggest that the Universe isexpanding at a constant rate. This is inferred from the observedage versus redshift relationship and various distance indicators,all of which point to a cosmic equation of state (EoS) $p=-\rho/3$,where $\rho$ and $p$ are, respectively, the total energy density andpressure of the cosmic fluid. It has recently been shown that thisresult is not a coincidence and simply confirms the fact that thesymmetries in the Friedmann-Robertson-Walker (FRW) metric appearto be viable only for a medium with zero active mass, i.e.,$\rho+3p=0$. In their latest paper, however, Kim, Lasenby andHobson have provided what they believe to be a counter argumentto this conclusion. Here, we show that these authors are merelyrepeating the conventional mistake of incorrectly placing theobserver {\it simultaneously} in a comoving frame, where thelapse function $g_{tt}$ is coordinate dependent when $\rho+3p\not=0$,and a supposedly different, free-falling frame, in which$g_{tt}=1$, implying no time dilation. We demonstrate that theHubble flow is not inertial when $\rho+3p\not=0$, so the comovingframe is generally not in free fall, even though in FRW, the comovingand free-falling frames are supposed to be identical at everyspacetime point. So this confusion of frames not only constitutesan inconsistency with the fundamental tenets of general relativitybut, additionally, there is no possibility of using a gaugetransformation to select a set of coordinates for which$g_{tt}=1$ when $\rho+3p\not=0$.
Elevated POP1 expression distinguishes basal-like human breast cancer.
Authors: Mamoor Shahan
Published: March 2022

Patients diagnosed with basal-like breast cancer face a more aggressive disease course and more dismal prognosis than patients diagnosed with luminal A and luminal B breast cancer molecular subtypes (1-4). We mined published microarray data (5, 6) to understand in an unbiased fashion the most distinguishing transcriptional features of tumors from patients with basal or basal-like subtype breast cancer. We observed transcriptome-wide differential expression of POP1 homolog, ribonuclease P/MRP subunit, POP1, when comparing tumors of patients with basal-like breast cancer with that of other PAM50 molecular subtypes. POP1 mRNA was present at significantly higher quantities in the tumors of patients with basal-like breast cancer. Analysis of patient survival data revealed that POP1 primary tumor expression was correlated with distant metastasis-free survival in luminal B subtype breast cancer. Elevated POP1 expression appears to distinguish basal-like human breast cancer from the other molecular subtypes.
Cultural Variability in Appraisal Patterns for Nine Positive Emotions
Authors: Cong Yong-Qi , Keltner Dacher , Sauter Disa
Published: March 2022

Emotions result from evaluations of events, referred to as appraisals. Specific configurations of appraisals have been shown to characterize different emotions, with some variation occurring across cultures. However, appraisal research to date has focused primarily on negative emo-tions, though recent efforts have started to also examine the appraisal profiles of positive emo-tions. Cross-cultural work on the appraisals of positive emotions has, however, been scarce. Here, we examine the appraisal profiles of nine positive emotions in the US and China. Using 13 commonly employed appraisal dimensions, we investigated the evaluations of events elicit-ing amusement, awe, compassion, desire, gratitude, interest, love, pride, and relief. Eighty par-ticipants from China and the US recalled events from their own life involving each of these emotions and provided Likert-scale appraisal ratings for each emotional event. Consistent with previous research, we find distinct appraisal patters for each positive emotion. We also, for the first time, demonstrate cultural variations in appraisals of positive emotions. Our study extends existing research by highlighting differences in appraisals of positive emotions across cultures.
AI based strategies for Covid-19 drug repurposing.
Authors: Srivastava Sonakshi , P Preeti , Sharma Trapti , Goel Shruti , Rajput Kanchan , rawal kamal
Published: March 2022

Background:The novel coronavirus disease, COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused catastrophic effects resulting in over 5.6 million deaths worldwide as of February 2022 and approximately 3.6 million new cases have resulted. The traditional drug discovery methodology is a risky, lengthy and expensive process, and due to the urgency to discover new therapies and treatments, the drug repositioning strategy has been driven by its potential to identify compounds that could be used to treat the symptoms. Viral infection attracts attention.Method:It was discovered that the convolutional neural network (CNN) and its modified models were mainly used for COVID-19 pandemic prediction, whereas in the case of machine learning (ML), the support vector machine (SVM), and random forest (RF) was largely utilized for COVID-19 pandemic combat.Result:In the case of COVID-19, modern technologies such as AI and ML have been used effectively to identify remdesivir alongside other drugs to treat COVID-19. It has shown promise in treating COVID-19, prompting the FDA to issue emergency use authorization, although it is only limited to severe conditions. The FDA made this decision based on early research showing the drug could help speed recovery in hospitalized patients with COVID-19.
MANAJEMEN ASUHAN KEPERAWATAN PSIKOSOSIAL DENGAN MASALAH KETIDAKBERDAYAAN PADA PENDERITA DIABETES MELLITUS
Authors: Silitonga Jesika Serevin
Published: March 2022

Penderita diabetes di seluruh dunia jumlahnya sekitar 422 juta orang, sebagianbesar tinggal di negara berpenghasilan rendah dan menengah, dan 1,6 jutakematian secara langsung dikaitkan dengan diabetes setiap tahun. Indonesiaberada di peringkat ke-7 di antara 10 negara dengan jumlah penderita, yaitusebesar 10,7 juta orang. Banyaknya perubahan dalam kebiasaan hidup pasiendiabetes melitus tipe 2 seperti kontrol gula darah, aktivitas fisik, konsumsiobat, dan diet yang harus dilakukan secara rutin. Perubahan tersebut membuatpasien diabetes melitus menunjukkan reaksi psikologis yang negatif antaralain: stres, cemas marah, dan merasa tidak berguna
Developmental constituents of learning from verbal testimony: verbal reference, linguistic competence, memory, and attention
Authors: Luchkina Elena , waxman sandra
Published: March 2022

The human ability to learn from verbal testimony—information offered by others about objects, events, or ideas—increases exponentially our communicative and representational reach, permitting us to learn, communicate, and reason about entities for which we have no direct perceptual experience. But how does the capacity to learn from verbal testimony develop? We propose that this fundamentally human capacity requires both the acquisition of ‘verbal reference’—a referential link between words and mental representations of word referents—and sufficient memory, attention, and linguistic competence. Here, we test this proposal, adopting a longitudinal design to assess the prospective and concurrent contributions of each component capacity—verbal reference, memory and attention, and linguistic competence—to the ability to learn from verbal testimony. We discuss the implications for subsequent language and cognitive development.
LITERATUR REVIEW : PENGARUH PENDIDIKAN KESEHATAN TENTANG NAPZA PADA REMAJA
Authors: gunawan
Published: March 2022

Latar belakang : Narkoba atau NAPZA merupakan kelompok senyawa yang umumnya menyebabkan kecanduan bagi para penggunanya. Selain kecanduan juga bisa menyebabkan gangguan psikis dan psikologis (BNN, 2017). Kaum muda dan remaja merupakan kelompok yang paling rentan terhadap pengaruh penyalahgunaan narkoba karena mereka adalah kelompok sosial yang paling energik dan dinamis. Pada dasarnya remaja masih mencari jati diri dan mudah dipengaruhi. (Gizyativa, 2019). Pendidikan kesehatan merupakan salah satu metode untuk mencegah penyalahgunaan NAPZA yang mempunyai peranan yang penting dalam memberikan pengetahuan kepada remaja tentang NAPZA. Tujuan : Mengetahui bagaimana pengaruh pendidikan kesehatan tentang NAPZA terhadap remaja Metode: Jenis penelitian ini menggunakan metode literatur review dengan cara menguraikan teori, temuan, dan bahan penelitian dari beberapa peneliti yang dijadikan sebagai landasan dalam melakukan studi literatur. Penelusuran artikel dilakukan dengan google scholar yang dipublikasikan sejak tahun 2016 sampai dengan 2021 yang diakses fulltext dalam format pdf. Hasil : Berdasarkan kelima jurnal yang telah disajikan oleh penulis, menunjukkan bahwa dukungan keluarga dapat dilakukan sebagai upaya untuk pemenuhan aktifitas sehari-hari pada penderita pasca stroke. Kesimpulan : Terdapat pengaruh pendidikan kesehatan tentang NAPZA pada remaja.
Cosmological Perturbations without Inflation
Authors: Melia Fulvio
Published: March 2022

A particularly attractive feature of inflation is that quantum fluctuations inthe inflaton field may have seeded inhomogeneities in the cosmic microwavebackground (CMB) and the formation of large-scale structure. In this paper,we demonstrate that a scalar field with zero active mass, i.e., with anequation of state $\rho+3p=0$, where $\rho$ and $p$ are its energy densityand pressure, respectively, could also have produced an essentially scale-freefluctuation spectrum, though without inflation. This alternative mechanism isbased on the Hollands-Wald concept of a minimum wavelength for the emergenceof quantum fluctuations into the semi-classical universe. A cosmology withzero active mass does not have a horizon problem, so it does not need inflationto solve this particular (non) issue. In this picture, the $1^\circ-10^\circ$fluctuations in the CMB correspond almost exactly to the Planck length atthe Planck time, firmly supporting the view that CMB observations may alreadybe probing trans-Planckian physics.
Pendidikan Pancasila dan Kewarganegaraan dari Berbagai Perspektif Keilmuan
Authors: Santika I Gusti Ngurah
Published: March 2022

Tujuan Pendidikan Nasional sebagaimana dirumuskan dalam Undang-Undang Nomor 20 Tahun 2003 adalah untuk berkembangnya potensi peserta didik agar menjadi manusia yang beriman dan bertakwa kepada Tuhan Yang Maha Esa, berakhlak mulia, sehat, berilmu, cakap, kreatif, mandiri, dan menjadi warga negara yang demokratis serta bertanggung jawab. Untuk mewujudkan tujuan pendidikan nasional tersebut, pembelajaran sebagai proses interaksi peserta didik dengan pendidik dan sumber belajar pada suatu lingkungan belajar tidak mungkin dapat dipisahkan.Salah satu komponen penting dalam proses pembelajaran adalah sumber belajar. Sumber belajar adalah segala sesuatu yang dapat dimanfaatkan oleh mahasiswa dalam proses pembelajaran, baik secara langsung maupun tidak langsung. Ketersediaan sumberbelajar dapat mendorong peningkatan kemampuan mahasiswa dalam mencerna materi ajar. Dengan sumber belajar, mahasiswa dapat lebih mudah mencapai tujuan pembelajaran. Secara umum, learning resources atau sumber belajar merupakan komponen penting dan memiliki peranan yang sangat strategis dalam meningkatkan kualitas pembelajaran. Memahami fundamentalnya sumber belajar dalam meningkatkan kualitas pembelajaran dan mencapai tujuan pembelajaran, maka Program Studi Pendidikan Pancasila dan Kewarganegaraan Fakultas Keguruan dan Ilmu Pendidikan Universitas Dwijendra berupaya menyusun bahan ajar yang dapat membantu mahasiswa dalam memahami materi perkuliahan yang diberikan dosen.
Specific Learning Disability Identification Practices in the U.S.A: A Survey of Special Education Administrators
Authors: Lockwood Adam
Published: March 2022

Specific learning disorder (SLD) identification is arguably one of the most significantcontroversies in school psychology. One component of this issue is that guidelines and practicesvary substantially across professionals and states, which leads to inconsistent identification ratesand outcomes for students. To assess the extent of this problem at the district level, we surveyedspecial education administrators from 725 U.S. school districts regarding their districts’ currentspecific learning disability (SLD) identification practices in the United States. Significantdifferences in SLD identification methods were reported across districts. Significant differencesin SLD identification methods were also found across regions and between districts that useddifferent educators to collect academic achievement test data. Curriculum based measures werealso used more frequently in districts that identify SLD using Response to Intervention.Implications of these findings for policy and for practice are considered.
When Technology Does More Harm than Good: Technostress in Missionary Contexts
Authors: Dunaetz David Robert
Published: March 2022

Although computer-mediated communication has contributed to the missionary enterprise by making the transmission of information easier and more efficient, the negative consequences of technological innovation in communication need to be considered. Technostress is the psychological discomfort people feel when interacting with technology, such as the pressure to respond quickly to emails and text messages, to post regularly on social media, or to master and use a new app. Missionaries are prone to experience technostress and the accompanying detrimental effects on ministry and family. A review of the literature clarifies when missionaries are most likely to experience this phenomenon and what can be done to reduce the negative consequences.
Slow Looking at Still Art: The Effect of Manipulating Audio Context and Image Category on Mood and Engagement During an Online Slow Looking Exercise
Authors: Igdalova Aleksandra , Chamberlain Rebecca
Published: March 2022

In the past two decades, ‘slow looking’ has emerged as an engaging art-viewing approach used by museums around the world as part of their in-person and online programming, but there has been little empirical inquiry into the precise effects of the practice. This study represents the first such attempt, exploring reported impacts of slow looking within an online context. Specifically, the study examined the effects of two factors — audio context (control, meditation, historical) and image category (photography, representational, abstract) — on mood change and aesthetic engagement. A total of 141 participants completed the online exercise, first selecting a series of three artworks within one of the image categories and then viewing each for 3 min per work while listening to the randomly allocated audio context. Participants reported feeling significantly more pleasant and relaxed after the exercise. Representational artworks were chosen the most and also contributed to greater overall aesthetic experience scores, and the historical condition was found to lead to greater levels of cultural understanding and engagement. Future investigation within an ecologically valid setting is currently underway, examining the contribution of different live viewing elements to the slow looking experience.
The antidepressant hoax: Conspiracy theories decrease health-seeking intentions
Authors: Natoli Eleanor , Marques Mathew daCosta
Published: March 2022

Health-related conspiracy theories can undermine the trustworthiness of actors and institutions and may impact an individual’s intention to seek help. Across three experimental studies, we investigated the consequences of exposure to an antidepressant conspiracy theory on general intentions to seek medical and psychological help. Study 1 participants (N = 299) were randomly allocated to read one of three articles (pro-conspiracy, anti-conspiracy, control) after which they completed measures of conspiracy endorsement, trust, powerlessness, and health-seeking intentions. Results suggested that exposure to antidepressant conspiracy theories significantly reduced individual’s intention to seek help indirectly through decreased trust in health authorities, but not health-industry-related powerlessness. In two additional pre-registered studies, we found some support for these findings. While Study 2 (N = 244) found no support for a direct or indirect relationship between conspiracy exposure and health-seeking intentions, an exploratory analysis highlighted the importance of gender differences when investigating conspiracy exposure on intentions. Study 3 (N = 247) replicated Study 1 findings, highlighting that antidepressant conspiracy theories decrease health-seeking intentions indirectly through decreased trust and increased powerlessness. Mere exposure to antidepressant conspiracy theories had significant indirect consequences on general health-seeking intentions.
Public understanding and attitudes toward science: International surveys of Japan, the United States, and the United Kingdom
Authors: Miura Asako , Yamagata Mei , Higashijima Jin , Kobayashi Toshiya , Nakamura Masaki
Published: March 2022

This study aimed to describe the general public’s understanding and attitudes toward science compared to those toward humanities, focusing on the characteristics of Japanese people, through an international comparison with the United States and the United Kingdom.
Concreteness ratings for 62 thousand English multiword expressions
Authors: Muraki Emiko Joanne , Abdalla Summer , Brysbaert Marc , Pexman Penny M.
Published: March 2022

Concreteness describes the degree to which a word’s meaning is understood through perception and action. The Brysbaert et al. (2014) concreteness ratings have provided insight into language processing and text analysis. However, these ratings are limited to English single words and a few two-word expressions. Increasingly, attention is focused on the importance of multiword expressions, given their centrality in everyday language use and language acquisition. We present concreteness ratings for 62,889 multiword expressions and examine their relationship to the existing concreteness ratings for single words and two-word expressions. These new ratings represent the first big dataset of multiword expressions, and will be useful for researchers interested in language acquisition and language processing, as well as natural language processing and textual analysis.
‘What works’ to sustain Indigenous tenancies in Australia
Authors: Moskos Megan , Isherwood Linda , Dockery Michael , Baker Emma , Pham Anh
Published: March 2022

This study examined the characteristics of successful tenancies for Indigenous people to understand ‘what works’ for successful housing outcomes, including for private and social housing, and across different locations.
Status of Medical Devices and their Utilization in 9 Tertiary Hospitals and 5 Research institutions in Uganda
Authors: Ssekitoleko Robert Tamale , Arinda Beryl Ngabirano , Oshabahebwa Solomon , Namuli Lucy Kevin , Mugaga Julius , Namayega Catherine , Opolot Emmanuel Einyat , Baluka Jackline , Ibingira Charles , Munabi Ian Guyton , Joloba Moses Lutakome
Published: March 2022

Backgrounds and Objective: Advancements in technology have led to great strides in research and innovation that have improved healthcare provision around the world. However, the majority of the technology available is underutilized in Sub-Saharan Africa. In addition, the ever-increasing sophistication and cost of medical equipment means that access and proper use is limited in low- and middle-income countries (LMICs). There is, however, a general paucity of well-documented evidence for the utilization of medical equipment in LMICs. Therefore, this study evaluates the current availability and utilization of medical equipment in tertiary hospitals and research facilities in Uganda and provides baseline information to clinical/biomedical engineers, innovators, managers, and policymakers.Material and Methods: The study evaluated the equipment currently used in 9 purposively selected public tertiary hospitals and 5 research laboratories representing different regions of Uganda. Data were collected by personnel specialized in biomedical engineering utilizing a mixed-method approach that involved inventory taking and surveys directed to the health workers in the designated health facilities. Results: The hospitals contributed 1995 (85%) pieces of medical equipment while the research laboratories contributed 343 (15%) pieces amounting to 2338 pieces of equipment involved in the study. On average, 34% of the medical equipment in the health facilities was faulty, and 85.6% lacked manuals.Discussion and conclusion: Although innovative solutions and donated equipment address the immediate and long-term goals of resource-constrained settings, our study demonstrated several issues around existing medical devices, and these need immediate attention.
Analysis and Solution of Dental Unit Failure
Authors: Jin Jinjiang
Published: March 2022

Objective: To discuss and analyze the common causes of dental unit failures and summarize maintenance experiences. Methods: The failures were studied through retrospective analysis in our dental clinic from January 2019 to December 2019. Causes for four common failures were analyzed deeply, and the corresponding improvement solution was implemented. Results: These solutions reduced the failure rate for dental units and improved understanding of the importance of using and maintaining the equipment correctly.Conclusion: Analysing and improving proper maintenance can save costs for the hospital and effectively enhance the management level of medical equipment maintenance.
The Role of Trust in Strengthening Relationships Between Schools and Latino Parents
Authors: Young Michelle D. , Rodríguez Cristóbal , Lee Pei-Ling
Published: March 2022

The concept of trust has become commonplace in discussions of school culture, with increasing numbers of researchers arguing that trust is an essential component of positive school communities. In this article, we explore the role of trust and distrust in the involvement of Latino parents in the educational process. After providing a theoretical conceptualization of trust, we examine several critical examples of how an absence of, or a breakdown in, mutual trust had negative consequences for home–school relations, as well as for the people who were involved in those relationships. Findings indicate that (a) the existence or absence of trust between the home and the school affects the development and sustenance of meaningful parental involvement and (b) traditional notions of parental involvement are inadequate for some school communities.
Preparing Educational Leaders to Build Transformative Communities of Involvement: The Importance of Trust
Authors: Young Michelle D. , Carpenter Bradley C.
Published: March 2022

This article is drawn from a qualitative study of the role that school building leaders play in building parent and community involvement in their schools. The article focuses on four of the principals involved in the study who—with their students, staff, parents, and community members—developed inclusive, meaningful, and transformative communities of involvement. The article delineates the contours of transformative communities of involvement within a discussion of five models of involvement. Subsequently, the beliefs that appeared to support the leaders work to develop and sustain such communities are examined, along with a rich discussion of the role that trust played in their efforts and success.
A list of Dolichopodidae from the Tyresta National Park, Sweden, with description of a new species of the genus Rhaphium Meigen (Diptera)
Authors: Grichanov I.Ya.
Published: March 2022

A list of 44 Dolichopodidae species collected in the Tyresta National Park and Nature Reserve is given. Rhaphium viklundi sp. n. is described from this locality, and a key to Swedish species of the Rhaphium albifrons group is given. Medetera inspissata Collin is recorded from Sweden for the first time.
Diversity of Zooplanktonic Community of two wetlands of Kolkata
Authors: Patra Subhendu Bikash
Published: March 2022

The diversity of zooplanktonic community of two fresh water wetlands designates as P-1(rain fed) and P-2 (sewage fed), in relation to influence of some abiotic factors (Water temperature,transparency,pH,DO,CO2, DOM, SiO2, PO4-P, NO3-N, Hardness, Alkalinity, COD and BOD) and their seasonal variations have been studied. P-2 has fairly high DO and pH is always alkaline and is also rich in nutrients.But in P-1 all the above parameters recorded low values.The zooplankton community comprised Rotifera, Copepoda, Cladocera and Ostracoda. A total of 76 species (57 of Rotifera, 13 of Cladocera, 5 of Copepoda and 1 of Ostracoda) in P-1 while in P-2, 66 species (47 of Rotifera, 10 of Cladocera, 7 of Copepoda and 2 of Ostracoda) are recorded. Among rotifers Asplanchnasp,,Brachionus spp., Keratella sp.,Filinia sp., Lecane sp., Polyarthrasp., Testudinella sp. and Rotaria sp. are more abundant, among cladoceransDiaphnosomasp., Ceriodaphnia sp. and Moina sp., among copepodaHeliodiaptomus sp.,Mesocyclops spp. and nauplius larvae are more abundant.
Peculiarities of the Development of Relations between Cambodia and China during the Spread of COVID-19
Authors:   Institute of oriental studies, Russian academy of sciences (MOSCOW), Kucherenko Grigory
Published: March 2022

The emergence of the disease that became known as Covid-19 has had an extremely negative impact on the international community, the growth rates of the economies of almost all countries of the world have experienced a significant decline or negative growth, economic ties have been weakened or have been completely interrupted, medicine of both developed and "third world" countries has also been forced to function under unprecedented pressure. Pre-pandemic health systems have demonstrated their fragility in the face of global infection and society's vulnerability to repeated lockdowns. In addition, the virus has also exacerbated several traditional and new security challenges, such as experts claiming that years of progress in protecting the environment could be lost due to underinvestment in decarbonization initiatives and infrastructure renewal caused by economic problems. All this has contributed to the fact that the perception of China in many countries of the world has deteriorated sharply, since it was China that experienced the first out-break, but Cambodia has continued its policy of strengthening ties with Beijing despite the negative phenomena caused by the pandemic.
Dead ends in Vietnam-US relations
Authors:   Institute of oriental studies, Russian academy of sciences (MOSCOW), Mosyakov Dmitry
Published: March 2022

The article deals with the key problems of Vietnamese-American relations. An analysis is being made of American efforts aimed at turning Vietnam into its proxy ally acting against China and, accordingly, the efforts of the Vietnamese leadership to continue the policy of balancing between the two superpowers.
Vietnam in ASEAN and its Role in the Development of Relations between Russia and Association
Authors:   RUDN University, Russia, Moscow, Shpakovskaya Marina , Ngiem Ba Chi ,   RUDN University, Russia, Moscow, Zui Thanh Tran ,   RUDN University, Russia, Moscow
Published: March 2022

ASEAN has become an influential center of interaction among Asia-Pacific countries in today's world, successfully addressing various issues of economic and social interaction. Today, ASEAN effectively promotes multilateral cooperation and plays an important role in ensuring and maintaining peace and security in the region. Vietnam is one of the leaders of the Association, representing one of the fastest growing economies in the region. Modern Vietnam participates in all programs of the Association, actively developing cooperation and solidarity within the Association. As a strategic partner of Russia, Vietnam has played an important role in the development of relations between Russia and the Association.
SPECIALIZATION AS A MAJOR TREND IN THE DEVELOPMENT OF MODERN LEGISLATION
Authors:   Saratov State Law Academy, Demin Pavel
Published: March 2022

The article deals with the specialization of modern legislation. The author notes that specialization is used in almost all spheres of life, including educational, scientific, economic, medical and many others. Specialization as an integral phenomenon in the modern world has one of the main tasks — it is to improve the processes developing in society. It is noted that specialization in law has a dualistic character. On the one hand, it is determined by the objective and subjective factors of real life (primarily the economy); on the other hand, law is subject to the same deep processes that are inherent in all other branches and spheres of public activity. The author states that the process of specialization in law is inevitable.
ABRUPT IMPACTS OF CLIMATE CHANGE: ANTICIPATING SURPRISES
Authors:   Siberian Federal University, Natalya P. Koptseva , Elina V. Pashova ,   Siberian Federal University
Published: March 2022

Modern climatology is a relevant and rapidly developing scientific discipline, which contains a large section related to socio-anthropological research. It is about the social consequences of climate change. Until recently, climate change was viewed as slow and progressive. Studies of ice and other natural structures have shown that there were periods in the history of the Earth when the climate changed abruptly and suddenly. And the time of these changes can be measured in years and decades, changes can occur during one person's life. The consequences of sudden climate change are one of the trends in modern climatology. Sudden climate change will cause as dramatic changes in social and anthropological systems as in natural systems. Currently, there are several scientific reports discussing exactly this - sudden - scenario of climate change. One of the authors of the theory of sudden climate change is James White, who for several years headed the Institute of Arctic and Alpine Research at the University of Colorado (USA).
Perancangan Gardu Distribusi Pengembangan Perumahan Green Nurhidayat Romang Polong
Authors: Nawir Herman , Djalal Muhammad Ruswandi , Hamma Muh. Yusril
Published: March 2022

Green Nurhidayat Romang Polong Residence is a new housing located Samataâ€™s axis road. In the housing development process, an electrical system is something important to supply electrical power in the housing. The distribution of electricity cannot be separated from the distribution substations. This research was conducted to design distribution substations. This research aims to determine the equipment and determine the capacity of each equipment. This research begins with observation, collects the data and data analysis. Data was collected through document study, observation and interview methods. Based on the results of research, distribution substations on Green Nurhidayat Romang Polong Residence used portal type substation with a transformer with a capacity of 400 kVA. The safeguards used are Lightning Arrester has a capacity of 24 kV, 5 kA, Fuse Cut Out with safety capacity of 12.5 A, the conductor area used to connect the Transformer to low voltage panel is a NYY type cable with a cross-sectional area of 4 (1 x 400 mm2 ), the conductor on the primary side that connects low voltage grid to Ligtning Arrester and Lightning Arrester to a transformer is AAAC type cable with a cross-sectional area of 35 mm2, while on the low-voltage grid, NFA2X type cable with a cross-sectional area of 3x70 mm is used. Low voltage panel divided into line, circuit breaker with a safety capacity of 700 A, NH Fuse with a capacity of 224 A and a rod electrode with a length of 5 m on the grounding system.
A Literature Review of Underwater Image Detection
Authors: Wang Yawen , Wang Qinxiao , Jin Shasha , Long Wei , Hu Lingxi
Published: March 2022

As one of the world’s few large-scale aquaculture countries, the mechanization, output and efficiency are low in Chinese aquaculture industry.with the development of industrial automation technology and computer image processing technology, aquaculture will be automated, scientific management transformation. As a specific application of computer recognition technology, underwater image recognition technology is important to promote aquaculture industry automation and intelligence. In this paper, first of all introduces the existing research of underwater target image recognition, mainly presents the underwater image recognition technology based on deep learning. And then the current problems of underwater image recognition is summarized. Besides, the future development of underwater image recognition technology and its application in wisdom fishery is also discussed, which provides other scholar with some theoretical help and a comprehensive reference.
Research on the Design of Protective Clothing for Industrial Robots Assisted by CLO 3D
Authors: Sun Jia-yi , Cen Lu , Zhai Li-na , Bai Gang
Published: March 2022

The development of intelligent industrialization has gradually increased the demand for industrial robots, and it has also promoted the emergence and development of industrial robot protective clothing. At this stage, the design methods of sewing patterns are limited to planes and lack simulation stitching and try-on in three-dimensional space. In this study, the virtual try-on of protective clothing for industrial robots was realized in the CLO3D environment, and the fabric was simulated using tools in the software. First, import the digital model of the industrial robot into CLO3D, and copy the AUTO CAD template in CLO3D. Then, input the results of the fabric test to simulate the fabric. Use the software’s virtual stitching and virtual wearing to observe the wearing effect of protective clothing and the data-based fabric pressure, directly modify the model and observe the modification effect. After research, the three-dimensional simulated fitting can clearly show the characteristics of looseness or tightness and whether it is convenient to put on and take off. The model can be adjusted appropriately in time, which can reduce costs and improve production efficiency. It is an important exploration for the development of industrial robot protective clothing.
Compact Deep Neural Networks via Soft and Smooth Filter Pruning
Authors: Fu Zonghui , Wang Xiaodong , Li Wei , Zeng Zhiqiang
Published: March 2022

Filters pruning methods are widely used to accelerate the inference process of Deep Neural Networks (DNNs). Among them, Soft Filter Pruning (SFP) has achieved increasing attention due to its compatibility and flexibility. However, conventional SFP directly sets the pruned filters to zero during training phase, discarding the training information of the pruned filter completely. In order to solve the above problem, this paper proposed a soft and smooth pruning method to retain the training information among pruned filters. Instead of the zeroing the pruned filters, our method imposes a filter weakening strategy, which gradually forces the pruned filters to zeros. Such a gradual pruning framework will give the pruned model more chances to recover the lost information and boost the pruning performance. To verify the the actual effectiveness of our proposed method, we conduct several experimental results on one dataset of metal surface images captured in a controlled industrial environment, i.e.,KSDD, using Resnet-20 with various pruning rates. Experimental results show that our filter weakening strategy consistently achieves superior performance over the compared methods, especially when a large amount of filters is pruned. By pruning 60% of filters, our method only drops 2.52% on Accuracy.
Spoon Surface Defect Detection Based on Improved YOLO V3
Authors: Wu Can , Zeng Zhiqiang
Published: March 2022

At present, there may be some problems in the production process of spoon, such as the lack of material on the surface of spoon. In order to effectively detect the surface defects of spoon, a defect detection method based on improved YOLO V3 model is proposed in this paper. Firstly, the output layers of the second and third residual blocks in the backbone network Darknet-53 are selected to build the feature pyramid network, which shortens the transmission path of feature information. In this case, we can better retain the feature information of small target defects. Secondly, the anchor boxes is adjusted to strengthen the ability of the model for small target defects detection. We test the proposed method on one spoon defect dataset, which is collected from the real-world industry manufactory scenario. The results show that the average precision of our algorithm reaches at 95.14%, which is better than the conventional YOLO V3 algorithm by 9.35%. Meanwhile, our algorithm is 9.12% faster than YOLO V3 with a 32.3 fps detection speed, demonstrating its efficiency and effectiveness for spoon defect detection.
Adaptive Subspace Clustering with Sparse Constraints
Authors: Wang Hao , Zeng Zhiqiang
Published: March 2022

In many practical applications, data are represented by high-dimensional features. Although the traditional K-means algorithm is simple, it usually gets the approximation solution by eigenvalue decomposition, this method led to the model less efficient. In addition, their loss functions are sensitive to data distribution. In this paper, a clustering model of adaptive K-means with sparse constraints is proposed. The proposed method is designed by combining the dimension reduction with sparse constraints and adaptive clustering. It provides a flexible computational framework for subspace clustering and is suitable for different distribution data sets. Besides, the sparsely constraint in our method can remove redundant features and retain useful information. We develop an effective alternative optimization algorithm to solve our model. Finally, the extended experiments on several benchmark datasets demonstrate the advantages of our method over other clustering algorithms