bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengembangan sumber belajar LKM untuk calon guru kimia beralur discovery learning pada mata kuliah strategi pembelajaran kimia
Authors: Erviyenni Erviyenni , Holiwarni Betty , Aldresti Fitri
Published: July 2022

Banyak calon guru maupun guru mengalami kesulitan dalam mempersiapkan perangkat terintegrasi model pembelajaran sesuai tuntutan kurikulum, yang mengharuskan guru melakukan kegiatan kelas berpusat kepada peserta didik. Guru pada umumnya dengan mudah bisa menentukan sintaks suatu model namun belum mampu menerapkan dalam suatu desain pembelajaran. Pengalaman membimbing mahasiswa calon guru dan peserta PPG selama beberapa tahun juga menunjukkan hal yang sama. Untuk memecahkan masalah ini dipandang perluÂ  pengembangan perangkat pada mata kuliah strategi pembelajaran kimia berupa LKM yang valid, praktis dan efektif pada materi pokok pengembangan pembelajaran dengan menerapkan model yang dipilih sesuai materi. Metode penelitian yang digunakan adalah Research & Development, yang terdiri dari 4-P yakni pendefinisian, perancangan, pengembangan dan pendesiminasian. Penelitian yang dilaksanakan hanya sampai pada tahap pengembangan. Data penelitian didapatkan dari hasil validasi pakar pendidikan kimia, observasi, wawancara dan analisis hasil uji coba. Hasil penelitian menunjukkan perangkat LKM beralur Discovery Learning yang dikembangkan memenuhi kriteria valid dari segi isi dan konstruksi. Hasil uji coba memenuhi kriteria praktis karena mahasiswa dapat menggunakan LKM dengan baik tanpa kendala yang berarti dan melalui angket, mahasiswa memberikan respon positif terhadap LKM.
Pengembangan media pembelajaran lectora inspire untuk mata pelajaran ilmu pengetahuan sosial
Authors: Astriani Susi , Astuti Indri , Mering Aloysius
Published: July 2022

Penelitian ini bertujuan untuk mengembangkan media pembelajaran lectora inspire. Penelitian ini menggunakan metode penelitian dan pengembangan (R&D) dan dikembangkan menggunakan model dick and carey menjadi 3 tahapan yaitu tahap pra pengembangan, pengembangan produk dan uji coba revisi dan evaluasi. Berdasarkan hasil analisis data setelah produk divalidasi oleh validator, produk akhir yang dihasilkan telah memenuhi kriteria layak dengan skor rata-rata dari ahli media sebesar 3,78, ahli materi sebesar 3,78, dan ahli desain pembelajaran rata-rata diperoleh 3,69 dengan kriteria sangat valid. Hasil respon peserta didik peserta didik untuk uji coba kelompok perorangan sebesar 89,3%, untuk uji coba kelompok sedang sebesar 92,56% dan tanggapan pendidik untuk uji coba lapangan sebesar 96,53%. Dengan demikian, media pembelajaran lectora inspire yang dikembangkan sudah cukup valid, praktis dan efektif untuk digunakan dalam pembelajaran IPS.Â
Pengembangan interaktif dashboard kemahasiswaan di program studi teknik informatika dengan teknologi big data
Authors: Rolansa Freska
Published: July 2022

Penyediaan informasi yang tepat dan sesuai dengan kebutuhan, akan memberikan hasil kerja yang lebih baik untuk setiap organisasi. Sehingga akan terlihat bahwa sistem informasi mampu memenuhi kebutuhan informasi dari setiap bagian organisasi dalam meningkatkan kinerja dan pengambilan keputusan yang tepat disetiap tingkatan dan bagian dalam organisasi keputusan saat ini atau saat mendatang. Salah satu cara dalam melakukan visualisasi data adalah dengan menggunakan Dashboard Interaktif. Visualisasi data dalam bentuk dashboard digunakan untuk mendapatkan gambaran performansi di setiap proses bisnis sehingga dapat memudahkan para eksekutif mengambil respon dengan cepat. Untuk dapat mengoptimalkan fungsi analisa data dari database kemahasiswaan program studi teknik informatika adalah dengan cara mengembangkan dashboard interaktif yang berupa visualisasi data. Dashboard tersebut nantinya akan dibangun dengan menggunakan Tableu dengan dataset yang berasal dari database akademik program studi teknik informatika yang akan menampilkan visualisasi data kemahasiswaan yang interaktif dalam satu tampilan real time Dashboard seperti hubungan antar data sebaran status mahasiswa yang aktif, dan non aktif (Drop Out dan stock out) disetiap angkatan, sebaran jenis kelamin per-angkatan, sebaran jumlah kelulusan mahasiswa per-angkatan, sebaran Indeks prestasi mahasiswa terkait tren peningkatan atau penurunan prestasi. Data Kemahasiswaan akan divisualisasikan dalam satu tampilan analisis dashboard dengan teknologi Big data dalam mengolah Data yang besar serta penyimpanan data di Cloud yang lebih membantu dan memudahkan level pimpinan/ manajemen program studi, jurusan serta lembaga untuk memonitoring performa kemahasiswaan dan membantu analisa data terkait aktivitas yang berkaitan dengan proses akademik yang sedang dan telah berlangsung, menunjang akreditasi program studi serta menunjang dalam pengambilan kebijakan / keputusan terkait dengan akademik mahasiswa
Meningkatkan motivasi belajar siswa kelas iv dengan menggunakan metode demonstrasi pada mata pelajaran matematika di sdn 14 senapit
Authors: Salawati Salawati
Published: July 2022

Matematika masih dianggap membosankan oleh siswa karena terdapat konsep matematika sangat sulit untuk dipahami. Motivasi belajar siswa juga belum terbangun saat belajar matematika. Meskipun guru sudah maksimal menyusun rencana pembelajaran, menyediakan media, mengatur strategi pembelajaran dan pengelolaan kelas, ternyata setelah proses pembelajaran berlangsung, guru masih saja menggunakan metode menonton dan pasif. Penelitian ini bertujuan untuk meningkatkan motivasi belajar siswa dengan menggunakan metode demonstrasi interaktif. Metode demonstrasi merupakan salah satu cara untuk membangkitkan imajinasi dan kreativitas siswa dalam pembelajaran dan membantu guru meningkatkan dan meningkatkan kualitas pembelajaran. Setelah metode ini diterapkan selama tiga siklus perbaikan atau tindakan kelas di SDN 14 Senapit, terjadi peningkatan pada hasil belajar matematika, hal ini terlihat dari hasil kerja siswa yang telah tuntas belajar. Metode demonstrasi dalam pembelajaran berdampak positif dalam meningkatkan motivasi belajar siswa dan meningkatkan daya pikir siswa.Â
Kelayakan flipbook submateri kelainan atau penyakit pada sistem reproduksi di SMA
Authors: Mirawati Mirawati , Panjaitan Ruqiah Ganda Putri , Wahyuni Eko Sri
Published: July 2022

Tujuan penelitian ini adalah Mengetahui kelayakan media flipbook pada submateri kelainan atau penyakit pada sistem reproduksiÂ  kelas XI SMA. Penelitian ini menggunakan metode R&D (Research & Development). Instrumen penelitian yang digunakan adalah lembar validasi. Penilaian kelayakan media flipbook Langkah-langkah dalam penelitian ini adalah potensi dan masalah, pengumpulan data, desain produk, validasi desain dan revisi desain. dinilai melalui uji validitas oleh 2 orang validator. Uji validitas meliputi format, isi, dan bahasa. Hasil analisis validasi media flipbook didapat nilai Vi 0,972 maka media dinyatakan layak digunakan sebagai media pembelajaran pada submateri kelainan atau penyakit pada sistem reproduksi.
Pengembangan lembar kerja peserta didik berbasis predict-observe-explain pada sub materi pergeseran kesetimbangan
Authors: Fitri Anisa , Sahputra Rachmat , Rasmawan Rahmat , Enawaty Eny , Masriani Masriani
Published: July 2022

Penelitian yang dilakukan ini bertujuan untuk mengembangkan Lembar Kerja Peserta Didik berbasis Predict-Observe-Explain pada sub materi pergeseran kesetimbangan dan menentukan kelayakan LKPD tersebut berdasarkan penilaian para ahli dan respon peserta didik. Bentuk penelitian ini adalah Research and Development (R&D) dengan menggunakan model ADDIE yang telah dibatasi menjadi model ADD, yaitu Analysis, Design, dan Develop tanpa melakukan tahap Implement dan Evaluate. Subjek penelitian adalah LKPD dan subjek responden adalah peserta didik kelas XI IPA SMA Negeri 2 Sungai Raya. Alat pengumpul data dalam penelitian ini adalah lembar validasi kelayakan LKPD dan angket respon peserta didik. Hasil validasi pada penilaian kelayakan materi, bahasa, dan penyajian dianalisis dengan rumus CVI memperoleh nilai rata-rata sebesar 1 yang menunjukkan bahwa LKPD berbasis Predict-Observe-Explain berada dalam kategori validitas sangat tinggi. Hasil uji angket respon peserta didik diperoleh rata-rata persentase sebesar 76.03% yang menunjukkan bahwa respon peserta didik terhadap LKPD berada dalam kriteria baik. Berdasarkan hasil yang diperoleh dapat disimpulkan bahwa LKPD berbasis Predict-Observe-Explain sangat layak dan baik digunakan sebagai media pembelajaran untuk mendukung proses pembelajaran kimia pada sub materi pergeseran kesetimbangan.
Analisis penerapan good university governance pada pelayanan administrasi akademik dan kemahasiswaan menggunakan TOGAF ADM
Authors: Rosalina Irma , Nurhadryani Yani , Hermadi Irman
Published: July 2022

Good University Governance (GUG) is a college management concept that can improve the college quality in order to increase the publicâ€™s satisfaction and trust. The availability of academic, student data, as well inefficient business processes become issues in supporting quality improvement at Health Polytechnic Ministry of Health Palu. The study aimed to analyze the condition of GUG application in academic and student administration services at Health Polytechnic Ministry of Health Palu using The Open Group Architecture Framework Architecture Development Method (TOGAF ADM) stages. Identification of architectural principles and GUG principles are indicators of architectural goals to be achieved. The result indicated that there was a commitment related to the vision and mission of GUG, but the implementation of GUG principles could not be fulfilled. Inadequate use of application, report data which does not meet the needs of SPI and quality assurance, as well the elaboration of SOPs and authorities specifically are problems that make the objectives of transparency, accountability, quality assurance, and responsibility unfulfilled. The GUG principle determination into architectural principle is a strategic move in system development since GUG principle is an essential element in managing organizational needsKeywords: Good University Governance,TOGAF ADM,Academic Administrasi Service.
Pengembangan bahan ajar multimedia offline pada materi IPA Terpadu Kelas VIII SMP Negeri 2 Ranoyapo
Authors: Kuron Meidy Atina , Tompodung Mita
Published: July 2022

Penelitian ini bertujuan untuk menghasilkan produk bahan ajar berbasis multimedia offline pada materi IPA terpadu di SMP Negeri 2 Ranoyapo Desa Poopo. Penelitian ini juga secara umum memperbaiki proses pembelajaran yang sebelumnya diterapkan dengan memanfaatkan kemajuan teknologi dalam bidang pendidikan. Metode penelitian yang digunakan adalah penelitian dan pengembangan Research and Developtment method (R&D) dengan 7 langkah pengembangan yang diadaptasi dari Brog and Gall. Langkah â€“ langkah pengembangan bahan ajar antara lain: 1) perencanaan, 2) studi eksplorasi, 3) pengembangan bentuk produk, 4) validasi, 5) pengumpulan dan analisis data, 6) revisi produk, dan 7) desiminasi. Pengembangan bahan ajar ini telah melalui uji pakar yang disebut ahli media dan ahli materi yang selanjutnya dianalisis menggunakan instrument dengan indikator dari segi pengembangan dan isi materi kemudian diujicobakan kepada kelas VIII SMP Negeri 2 Ranoyapo. Materi yang dikemas dalam bahan ajar multimedia offline ini yaitu IPA terpadu topik gerak lurus. Produk Bahan Ajar multimedia Offline ini telah divalidasi oleh ahli media dengan persentase kelayakan capaian 81% dan ahli materi dengan persentase kelayakan capaian 80 % dan berada pada kategori sangat kuat, serta hasil tanggapan siswa kelas VIII SMP SMP Negeri 2 Ranoyapo tentang produk sangat positif dengan persentase capaian 90% kategori sangat kuat serta hasil skor pretest 45,90 dan posttest 71,36 yang menunjukkan kenaikan pada pembelajaran siswa. Demikian produk bahan ajar multimedia offline ini dinyatakan layak digunakan dalam proses pembelajaran di sekolah.
Çöven Estraktının Dondurma Miksinin Steady, Dinamik Reolojik Davranışları Ve Mikroyapısal Özelliklerine Etkisi
Authors: KABLAN Halis , ARTIK Nevzat , KARASU Salih , TEKİN Zeynep Hazal , SAĞDIÇ Osman , CANKURT Hasan
Published: July 2022

In this study, it was aimed to use the gypsum extract as an emulsifier in ice cream production. For this purpose, the effect of different ratios of gypsum extract on the steady, dynamic rheological properties and microstructural properties of the ice cream mix was aimed. All of the ice cream mix samples showed non newtonian shear thinning character. K and n values were calculated by modeling the rheological properties of the steady shear exponent with the law model. The K value of the frozen samples decreased to a certain level with the addition of gypsum extract, but showed the highest value in the sample containing 0.3% linseed and 0.1% lecithin. All of the ice cream mix samples exhibited viscoelastic solid character. In the ice cream mix samples produced with gypsum extract, the oil droplets showed a more homogeneous distribution in the form of small particles. The results of this study showed that the gypsum extract could be used successfully as an emulsifier in ice cream production.
Pasif İntermodülasyon Ölçüm Sistemi
Authors: ANIKTAR Huseyin
Published: July 2022

The Passive Intermodulation (PIM) phenomenon occurs because of non-linarites in antennas or passive components. When data rates are increasing in next generation communication systems like in 4G, 5G and 6G, PIM is getting even crucial and costly problem. Unwanted harmonics and intermodulation products might occur in communication band and this can take down the communication network. This work presents PIM mechanisms, and PIM measurement test setups for any communication standards (4G, 5G and 6G).
Enhancing Energy Efficiency in Rail System Vehicles
Authors: AKSU Eren , KAPLAN Mahmut
Published: July 2022

Over the years, due to traffic, environmental problems associated with fossil fuels and related economic problems, the demand for urban rail transit system such as trams, light rail systems and metro has increasing rapidly not only in our country but also all over the world. Since rail public transportation systems require high power, the energy efficiency of the railway system is of great importance. The energy consumption on tram lines is different. Therefore, the factors affecting electricity consumption of trams and metro, especially in metropolitan cities should be examined carefully and the new methods for enhancing energy efficiency of the rail transportation systems should be developed. In this study, tests including different driving styles were carried out for 2 CNR railway vehicles owned by SAMULAŞ A.Ş., which serve in the urban public transportation system in Samsun. The test results were analyzed in terms of traction power and relationship between energy consumption and vehicle weight using the Concerto Maintenance program. The simulation results showed that 20% energy saving was achieved by using the suggested driving scenarios, compared to practical driving at similar vehicle weight. For example, an average of 14 million kWh of energy is consumed annually for rail public transportation systems in Samsun. For this reason, it is thought that the findings obtained in this study will contribute to the reduction of energy consumption of urban rail systems in Turkey.
Hücresiz ÇGÇÇ Sistemlerinde AP Seçimi için Makine Öğrenimi Tabanlı Sınıflandırma Algoritması
Authors: DEMİREL Mert , AYCAN Esra
Published: July 2022

With the rapid development of technology, cellular networks in wireless networks are insufficient to meet the demands. In order to provide a correct and good service to each user, communication systems must change. Although cell-free networks have many advantages over cellular networks, since there are too many users and access points (APs) in cell-free networks, AP selection is very important. In this thesis, the AP selection model has been studied and compared five different machine learning classification methods. The campus of Izmir Katip Celebi University has been chosen as the environment where the study will be carried out, and capacity values have been obtained from the users and APs that have been placed on the campus in the simulation environment. Numerical calculation results have been obtained from the Wireless Insite (WI) software. The AP selection to be created with the capacity values has been supported by artificial intelligence algorithm techniques. With two different data sets have been compared, better results have been tried to be obtained with different feature values. As a result of the comparisons made, the best machine learning classification technique used has been proposed.
Elektro-Fenton Prosesi ile Fenolün Giderilmesi
Authors: ÖZDEN ÜZMEZ Özlem , TEZCAN ÜN Ümran , AL-THAWR Halima
Published: July 2022

In this study, removal of phenol from wastewater using Electro-Fenton method was achieved. The effect of operational parameters such as current density, initial concentration of phenol, and hydrogen peroxide dosage on the removal of phenol were investigated. The removal efficiencies were determined using chemical oxygen demand (COD) concentrations. The results showed that, the removal of phenol was dependent on the concentrations of hydrogen peroxide and applied current. Increasing the applied current resulted in higher removal efficiency (RE) of phenol. On the other hand, the energy consumption also increased with the increasing the current density. Thus when the optimal current density and potential have been selected, either higher removal rate or lower energy consumption can be preferred. The phenol removal significantly increased by increasing H2O2 dosages from 1500 to 2500 mg L-1. The phenol concentration of 300 mg L-1 was removed with the removal efficiency of 93% at the current density of 40 mA cm-2 with the using of 2500 mg L-1 H2O2. Increasing of initial phenol concentration resulted in decreasing of removal efficiency. Removal efficiency decreased from 75% to 62 % when the initial phenol concentration increased from 100 to 500 mg L-1 after 45 min of operating time. As a result of the study, it can be said that, the removal of phenol was successfully achieved using Electro-Fenton method.
Features of anti-crisis management of domestic enterprises
Authors: Bolotnov Denis
Published: July 2022

In modern conditions, the socio-economic situation of Ukraine is characterized by significant variability and unpredictability. The activity of business entities takes place in the absence of timely and accurate information about all the consequences of management decisions and possible further changes in the operating environment. It is important for enterprises to organize an effective crisis management system. The purpose of the article is to systematize approaches to determining the essence and features of anti-crisis management of domestic enterprises.

This work systematizes approaches to determining the essence of anti-crisis management of industrial enterprises. Approaches to defining the essence of anti-crisis management are summarized. The systematization of existing approaches to determining the essence of anti-crisis management made it possible to define anti-crisis management as management aimed at avoiding and neutralizing signs of crisis in the economic activity of enterprises, as well as at adapting the management system to changes in the external environment of the enterprise, which will contribute to sustainable development.

Factors that cause crisis phenomena at industrial enterprises are systematized in terms of internal and external influence. The main components of the anti-crisis management system are summarized: functions, principles. The main functions of anti-crisis management are planning, organization, motivation, and control. The main goals of anti-crisis management are divided into organizational, production, financial, personnel, sales, marketing, and innovation.

It was determined that according to the presence of signs of crisis, the anti-crisis management of the enterprise is divided into active and passive; depending on the specifics of the development and state of the enterprise, anti-crisis management is divided into preventive, crisis and post-crisis management.
SOCIAL ENVIRONMENT OF HUMAN CAPITAL FORMATION OF UKRAINE: ANALYSIS AND CONCLUSIONS FOR PUBLIC POLICY
Authors: Kravchyk Yurii , Shevchenko Dmytro
Published: July 2022

The purpose of the study is to analyze the social environment of Ukraine in order to identify its impact on the parameters of formation and implementation of human capital to substantiate the conclusions for public policy in terms of effective measures for its development.

In the course of the research general scientific and special methods of synthesis and system analysis were used (to substantiate the characteristics of human capital); system analysis and theoretical generalization (to assess the state of formation and use of human capital in Ukraine); statistical analysis (to assess the factors influencing the human capital of the country); logical analysis, strategic management (to substantiate the instruments of state policy to improve the human capital of the state); system and comparative analysis (taking into account the peculiarities of human capital formation in Ukraine).

The urgency of the problem of analyzing the social environment of the country in the context of tracking its impact on various aspects of the formation and implementation of human capital.

The practical significance of the research results is that the indicators of employment and income of the population of Ukraine are analyzed. Negative preconditions for the formation of human capital related to the problems of the labor market and employment have been identified. The characteristic of indicators of social security in Ukraine is given. The growth of state expenditures on social assistance, the development of social infrastructure, which ambiguously affects the strengthening of human capital of the state. The analysis of parameters of social tension in Ukraine is carried out. It is established that high levels of unemployment, crime, and morbidity are problematic aspects (in the context of human capital). Indicators of provision of the population of Ukraine with social infrastructure are analyzed. It is shown that its specific indicators are deteriorating and this is a negative factor in the context of preserving the country's human capital. Conclusions are made regarding the negative preconditions for the impact of the state of the social sphere on the formation, as well as instruments of state policy to improve human capital in Ukraine.

The scientific novelty of the research results is the development of methodological support - SWOT-analysis of advantages and disadvantages, tools for improving human capital in the country.
INFLUENCE OF MARKETING ON DETECTION AND COUNTERACTION TO THREATS TO ECONOMIC SECURITY OF LIGHT INDUSTRY ENTERPRISES OF UKRAINE
Authors: Asamoah Kyeremeh Joshua , Matiukh Serhii
Published: July 2022

The article defines the role and importance of marketing and marketing component of economic security of the enterprise from the standpoint of ensuring its functioning in the transformation of the business environment due to large-scale Russian invasion of Ukraine. The results of the study determine the essence of economic categories and outline the degree of destructive impact on economic security of each of these factors, in particular: threats, challenges, risks, dangers. The types of threats to the economic security of the enterprise from the standpoint of marketing are identified. The need to use marketing to identify and monitor threats to the economic security of the enterprise by developing an appropriate system. The expediency of application and gradual filling of the system of marketing monitoring of threats to economic security is substantiated and the basic requirements to its functioning are determined. Such a system should include: formation of criteria for economic security of the enterprise, study of the business environment of its operation, diagnosis of threats to economic security of the enterprise from a marketing standpoint, development of measures to counter identified threats or minimize their negative impact on economic security and assess the effectiveness of countering threats economic security of the business entity. The significance of the influence of industry affiliation of enterprises on its economic security is determined, as a result of which the characteristics and prospects of light industry development in Ukraine are given, and it is concluded that , is a crucial factor in the development of the national economy as a whole. In the context of the study of the peculiarities of the functioning of light industry enterprises, the need to characterize the factors of external and internal influences that shape the environment of enterprises, as well as to determine their impact on economic security of economic entities.
FINANCIAL INVESTMENT ACCOUNTING ORGANIZATION
Authors: Lysiak Yelyzaveta , Bеlozertsev Vasyl
Published: July 2022

This article discusses the features of the organization of accounting of financial investments of enterprises in our country. Existing valuation methods and main problems regarding the organization of accounting of financial investments are analyzed. According to the results of the study, the ways of their solution are suggested.

Investment activity is one of the most important parts of the enterprise, individual industries and the economy as a whole, so most companies have investments - temporarily unoccupied funds. These funds can be invested in various sectors of the economy in order to obtain economic effect, namely profit.

Currently in Ukraine there is a weak system of support for investment activities of enterprises. This is causing a huge decline in investment activity in our country, which is very bad. After all, the ability to conduct proper and effective investment activities helps to improve and expand their own activities, improve various social problems in the enterprise, as well as determines the level of human and financial capital. Without a solid foundation in investment activities, our state will not be able to take its rightful place in the world economy.

The purpose of this article is to study options for improving the accounting of financial investments in enterprises by mastering the theoretical basis and practices, identifying the main problems of their accounting and evaluation under market conditions and justify proposals for their solution.

The article examines the order of reflection in the accounting of financial investment transactions in order to achieve the reliability of the data presented at all stages of accounting by forming an information model of financial investment accounting.
Mobbing in labor law and psychology: Experience of interdisciplinary approach
Authors: Lushnikov Andrey M.
Published: July 2022

The article analyses the phenomenon of mobbing from the points of view of labor law and psychology. Individual varieties of mobbing distinguished in psychology and management have been investigated, and their classification has been proposed. The relationship of mobbing with related concepts: “bossing”, “bullying”, “staffing”, “tokenism”, etc. has been determined. The features of mobbing are highlighted and its definition is proposed on their basis. The legal means of combating mobbing allocated in modern literature have been analyzed, on their basis the necessity of improving labor legislation is proved.
Theoretical foundations of International Criminal justice in the work “Nuremberg: A Verdict for name of Peace” (Moscow: Prospect, 2021. – 760 pp.)
Authors: Lisitsyn-Svetlanov Andrey G.
Published: July 2022

The review analyzes A.N. Savenkov’s monograph “Nuremberg: A Verdict for name of Peace” with a special emphasis on theoretical disputes and principled legal positions of legal scholars of the USSR, the USA, Great Britain and France in terms of understanding and types of international crimes; the possibility of bringing to criminal responsibility the state, its head and representatives of the ruling political group; understanding complicity in a crime; giving retroactive effect to the norms fixed in the Statute of the International military tribunal. The study scrupulously presents the arguments of each of the opposing parties. For the first time, the domestic reader gets the opportunity to get acquainted with the discussions held in Western specialized literature, therefore, one of the main scientific achievements of the monograph is the introduction into circulation of a huge, new array of bibliographic sources.
Investigation of the Possibilities of Using Rhaponticoides Iconiensis in Wool Dyeing
Authors:   Mustafa Çıkrıkçıoğlu Vocational School, Kayseri University, 38280, Kayseri, Türkiye, Benli Hüseyin , Paşayev Nazım ,   Department of Textile Engineering, Erciyes University, Kayseri, Türkiye, Bahtiyari M. İbrahim ,   Department of Textile Engineering, Erciyes University, Kayseri, Türkiye, Tugay Osman ,   Faculty of Pharmacy, Department of Pharmaceutical Botany, University of Selçuk, Konya, Türkiye
Published: July 2022

Recently, many scientists have been struggling to identify natural dyestuff sources from different plants, especially for dyeing of textile materials such as wool and cotton. One of these struggles was carried out in this paper. The aim of this study was made to reveal R. iconiensis (hub.-mor.) M.V.Agab. & Greuter plant used as a source of natural dyes. In this study, both plant’s flowers and stems have been used separately for the dyeing of wool fabrics. These parts of plants were collected in the summer and separately dried, then milled and powdered and then used as a dyeing material in the dyeing of woollen fabrics via five (Fe, Cu, Al, Cr, Sn) different metal salts. All the dyeing processes were carried out for one hour at boiling temperature. Subsequently, CIE L*a*b* and K/S values of dyed wool fabrics were examined for colour strength. Various colour fastness tests, such as rubbing, washing and light fastness of dyed fabrics, have also been made. In the light of the obtained data, it was seen that R. iconiensis plant could be a natural dyestuff for wool materials.
The Influence of KMS Trello on the Intern Performance CDC UIN Jakarta
Authors: Fadhilah Jihan , Nurmiati Evy
Published: July 2022

Trello is software used for knowledge and project management. The ease of appearance and integration with Google Drive makes the UIN Jakarta Career Center interested in using Trello as a workspace for their intern. The problem of this research stems from the number of internals with non-technological backgrounds and this is the first time using this tool. So the purpose of this study is to see the effect of Trello software on internal performance and to see the difference in influence between technology and non-technological internals by using a research method, namely a descriptive qualitative approach through interviews with several selected sources
The Development of UMS Building Catalogue Information System
Authors: Kurniaji Ganno Tribuana , Eza 'Ammar Mohammad Faqih , Nugroho Yusuf Sulistyo
Published: July 2022

Universitas Muhammadiyah Surakarta (UMS) as one of the biggest private university in Indonesia has a large number of new students per year. However, most new students often get confused to identify and even do not know the location of the buildings that handle various activities in the early period of lectures, such as student orientation, English pre-tests, etc. This is due to lack of information provided by the university to the new enrolled students. To overcome this problem, this work aims to develop a web-based building catalogue by implementing a framework, namely Ionic. This system is built to help the new students getting the building-related information in UMS and find out the location of the building. By following the waterfall model to build the system, the results show that we have successfully developed the building catalogue information system. The main page of the information system displays a list of buildings that are within the scope of UMS, starting from Building A to Building L completed with photos and detailed information about the building. The system is helpful for new students to get the information of all buildings in UMS.
Feature Extraction using Lexicon on the Emotion Recognition Dataset of Indonesian Text
Authors: Nurkasanah Aprilia , Hayaty Mardhiya
Published: July 2022

Text Mining is a part of Neural Language Processing (NLP), also known as text analytics. Text mining includes sentiment analysis and emotion analysis which are often used in analysis on social media, news, or other media in written form. The emotional breakdown is a level of sentiment analysis that categorises text into negative, neutral, and positive sentiments. Emotion is categorized into several classes, In this study, emotion is categorized into 5 classes namely anger, fear, happiness, love, and sadness. This study proposed feature extraction using Lexicon and TF-IDF on the emotion recognition dataset of Indonesian texts. InSet Lexicon Dictionary is used as the corpus in performing the feature extraction. Therefore, InSet Lexicon was chosen as the dictionary to perform feature extraction in this study. The results show that InSet Lexicon has poor performance in feature extraction by showing an accuracy of 30%, while TF-IDF is 62%.
ReYOLO: A traffic sign detector based on network reparameterization and features adaptive weighting
Authors: Zhang Jianming , Zheng Zhuofan , Xie Xianding , Gui Yan , Kim Gwang-Jun
Published: July 2022

Traffic sign detection is a challenging task. Although existing deep learning techniques have made great progress in detecting traffic signs, there are still many unsolved challenges. We propose a novel traffic sign detection network named ReYOLO that learns rich contextual information and senses scale variations to efficiently detect small and ambiguous traffic signs in the wild. Specifically, we first replace the conventional convolutional block with modules that are built by structural reparameterization methods and are embedded into bigger structures, thus decoupling the training structures and the inference structures using parameter transformation, and allowing the model to learn more effective features. We then design a novel weighting mechanism which can be embedded into a feature pyramid to exploit foreground features at different scales to narrow the semantic gap between multiple scales. To fully evaluate the proposed method, we conduct experiments on a traditional traffic sign dataset GTSDB as well as two new traffic sign datasets TT100K and CCTSDB2021, achieving 97.2%, 68.3% and 83.9% mAP (Mean Average Precision) for the three-class detection challenge in these three datasets.
Probabilistic data structures in smart city: Survey, applications, challenges, and research directions
Authors: Kumar Mandeep , Singh Amritpal
Published: July 2022

With the commencement of new technologies like IoT and the Cloud, the sources of data generation have increased exponentially. The use and processing of this generated data have motivated and given birth to many other domains. The concept of a smart city has also evolved from making use of this data in decision-making in the various aspects of daily life and also improvement in the traditional systems. In smart cities, various technologies work collaboratively; they include devices used for data collection, processing, storing, retrieval, analysis, and decision making. Big data storage, retrieval, and analysis play a vital role in smart city applications. Traditional data processing approaches face many challenges when dealing with such voluminous and high-speed generated data, such as semi-structured or unstructured data, data privacy, security, real-time responses, and so on. Probabilistic Data Structures (PDS) has been evolved as a potential solution for many applications in smart cities to complete this tedious task of handling big data with real-time response. PDS has been used in many smart city domains, including healthcare, transportation, the environment, energy, and industry. The goal of this paper is to provide a comprehensive review of PDS and its applications in the domains of smart cities. The prominent domain of the smart city has been explored in detail; origin, current research status, challenges, and existing application of PDS along with research gaps and future directions. The foremost aim of this paper is to provide a detailed survey of PDS in smart cities; for readers and researchers who want to explore this field; along with the research opportunities in the domains.
Thermal and Biological Degradation of Herbicides to Treat Wastewater and Soil Pollution
Authors: Al-Nuaemi Inas J. , Abbas Kafaa F. , Jebir Al-Alawy Ramy M. , Al Ani Hussam N.
Published: July 2022

Since their discovery in 1958, atrazine and other members of s-triazine family have been extensively applied in order to control grassy and broadleaf weeds in crops. Although, it was proved by many researchers that atrazine was slow and partially degradable material. These pesticides were widely used to enhance crop quality and yield. Atrazine degradation can be achieved by the effects of air, sun, water, microorganisms and temperature. Thermal degradation plays an important role in agrochemicals elimination; so a better understanding of the role of thermal degradation of atrazine is essential. Quantitative determination of pesticide residues was studied by calculating the amount of herbicide residues left after decomposition using a simple thermo analytical technique (TG, DSC). In this study, we found that all samples undergo the process of melting, evaporation, decomposition and oxidation at a temperature higher than the maximum registered climate temperature which made us conclude that 80–90%wt) of the pesticides stay in the environment without change under 100 °C on different parts of plants like fruits, leaves, and some penetrate into the ground to reach the roots or continue to the groundwater causes toxic problems to their consumers and environmental pollution. This result gave the motivation to find a more effective approach to reduce the harmful effect of these pollutants. In this regard, biological degradation of atrazine by using two legumes roots rhizobium bacteria was investigated. It is found that both rhizobium are able to treat atrazine at moderate temperature (30 °C). In comparison to chickpea rhizobia, bean rhizobia showed a higher performance with a removal efficiency of 43.21% and 57.42% at mild and high atrazine concentrations (5 mg/L and 10 mg/L) respectively. The results from this research offer an elegant way to remove the harmful effect of herbicides through degradation and to bring the safe use of herbicides a step closer to applications.
Changes in subcellular localization of Lysyl-tRNA synthetase and the 67-kDa laminin receptor in epithelial ovarian cancer metastases
Authors: Lee Dae Hoon , Paik E. Sun , Cho Young-Jae , Lee Yoo-Young , Lee Bada , Lee Eui Jin , Choi Jung-Joo , Choi Chel-Hun , Lee Sangmin , Choi Jin Woo , Lee Jeong-Won
Published: July 2022

BACKGROUND: Although lysyl-tRNA synthetase (KARS1) is predominantly located in the cytosol, it is also present in the plasma membrane where it stabilizes the 67-kDa laminin receptor (67LR). This physical interaction is strongly increased under metastatic conditions. However, the dynamic interaction of these two proteins and the turnover of KARS1 in the plasma membrane has not previously been investigated. OBJECTIVE: Our objective in this study was to identify the membranous location of KARS1 and 67LR and investigate if this changes with the developmental stage of epithelial ovarian cancer (EOC) and treatment with the inhibitor BC-K01. In addition, we evaluated the therapeutic efficacy of BC-K01 in combination with paclitaxel, as the latter is frequently used to treat patients with EOC. METHODS: Overall survival and prognostic significance were determined in EOC patients according to KARS1 and 67LR expression levels as determined by immunohistochemistry. Changes in the location and expression of KARS1 and 67LR were investigated in vitro after BC-K01 treatment. The effects of this compound on tumor growth and apoptosis were evaluated both in vitro and in vivo. RESULTS: EOC patients with high KARS1 and high 67LR expression had lower progression-free survival rates than those with low expression levels of these two markers. BC-K01 reduced cell viability and increased apoptosis in combination with paclitaxel in EOC cell xenograft mouse models. BC-K01 decreased membranous KARS1 expression, causing a reduction in 67LR membrane expression in EOC cell lines. BC-K01 significantly decreased in vivo tumor weight and number of nodules, especially when used in combination with paclitaxel. CONCLUSIONS: Co-localization of KARS1 and 67LR in the plasma membrane contributes to EOC progression. Inhibition of the KARS1-67LR interaction by BC-K01 suppresses metastasis in EOC.
Association of 21-gene recurrence score and locoregional recurrence in early breast cancer patients
Authors: Zeng Yufei , Gao Weiqi , Chen Xiaosong , Shen Kunwei
Published: July 2022

BACKGROUND: The 21-gene recurrence score (RS) assay has been validated to predict the risk of disease-free survival in estrogen receptor (ER)-positive, human epidermal growth factor receptor 2 (HER2)-negative early breast cancer patients. However, its relation with locoregional recurrence (LRR) risk is unclear. OBJECTIVE: This study aimed to explore the ability of RS to predict LRR risk. METHODS: Consecutive ER-positive, HER2-negative, pT1, pN0-1, and M0 early breast cancer patients were analyzed retrospectively. According to RS, patients were divided into low- (RS < 18), intermediate- (RS 18–30), and high-risk (RS ⩾ 31) groups. The primary endpoint was LRR. Subgroup analysis was conducted according to different nodal statuses and surgery types. RESULTS: A total of 1558 patients were enrolled: 354 (22.7%), 788 (50.6%), and 416 (26.7%) patients in the low-, intermediate-, and high-risk groups, respectively. The median follow-up time was 53 months, and 2, 8, and 14 LRR events were observed in the low-, intermediate-, and high-risk groups, respectively (P= 0.004). Both univariate (P= 0.009) and multivariate (P= 0.010) analyses demonstrated that 21-gene RS was correlated with LRR. Compared to low-risk patients, high-risk patients were at greater risk of LRR (HR 5.75, 95% CI 1.30–25.31, P= 0.021). Among pN0 (P= 0.033), pN1 (P= 0.049) and postmastectomy patients (P= 0.012), 21-gene RS remained predictive of the risk of LRR. CONCLUSION: The 21-gene RS assay was significantly associated with the risk of LRR in ER-positive, HER2-negative early breast cancer patients. Among patients with different nodal statuses and patients receiving mastectomy, RS remained predictive of the risk of LRR.
The clinical significance and function of EGFR mutation in TKI treatments of NSCLC patients
Authors: Ding Hao , Chen Yuxing , Zhao Yuanyang , Zhu Li , Huang Huaying , Liu Chenyang , Zhang Feng , Zhang Cunxi , Jin Cheng
Published: July 2022

BACKGROUND: EGFR mutations widely exists in NSCLC patients, which are involved in cancer development. OBJECTIVE: The function of EGFR mutations in the resistance to TKI treatments of NSCLC was evaluated to provide theoretical support for the clinical management of NSCLC patients. METHODS: A total of 150 NSCLC patients including 118 patients with EGFR mutation and 32 without, were included in this study. The EGFR mutation status and subtypes were analyzed in recruited patients. The distribution of EGFR mutation subtypes and their association with clinicopathological features were also assessed. The prognostic value of EGFR mutation was evaluated by the overall survival of recruited patients. The function of EGFR mutation was estimated, in vitro, in the TKI resistant NSCLC cells with different subtypes of EGFR mutation. RESULTS: The exon 19 deletion was the most common subtype of EGFR mutation in the enrolled patients followed by the exon 21 L858R point mutation. The EGFR mutations were closely associated with the differentiation degree and the histological types of NSCLC cases. EGFR mutation was an independent prognostic factor of NSCLC with a close relationship with the overall survival of patients. The exon 20 T790M mutation results in the erlotinib resistance through the PI3K/Akt signaling pathway. CONCLUSIONS: The EGFR mutation is a critical factor in the prognosis and for the resistance to TKI treatment in NSCLC. The exon 20 T790M mutation was involved in the erlotinib resistance through PI3K/Akt signaling pathway.
Regional Disruption of White Matter Integrity and Network Connectivity Are Related to Cognition
Authors: Liu Zi-Yue , Zhai Fei-Fei , Han Fei , Li Ming-Li , Zhou Lixin , Ni Jun , Yao Ming , Zhang Shu-Yang , Cui Li-Ying , Jin Zheng-Yu , Zhu Yi-Cheng
Published: July 2022

Background: Cognitive impairment is common in the elderly population. Exploring patterns of white matter damage at the microstructural level would give important indications for the underlying mechanisms. Objective: To investigate the spatial patterns of white matter microstructure and structural network alternations in relation to different cognition domains Methods: Participants from the community-based Shunyi Study were included to investigate the association between white matter measurements and cognition cross-sectionally, via both global and local analysis. Cognitive functions were assessed using digit span, trail making test (TMT)-A/B, Fuld object Memory, and 12-Word Philadelphia Verbal Learning Test (PVLT). White matter measurements including fractional anisotropy (FA), mean diffusivity (MD), and structural network parameters were calculated based on diffusion tensor imaging. Results: Of the 943 participants included, the mean (SD) age was 55.8 (9.1) years, and the mean (SD) education level was 6.7 (3.2) years. We found the whole set of cognitive measurements was related to diffused white matter microstructural integrity damage and lower global efficiency. Poor executive functions (TMTA/B complete time) were related to lower FA and higher MD predominantly on the anterior white matter skeleton, while verbal memory loss (PVLT test scores) was related to sub-network dysconnectivity in the midline and the right temporal lobe. Conclusion: The anterior brain is dominantly involved in executive dysfunction, while midline and right temporal brain disconnection are more prominent in verbal memory loss. Global and regional disruption of white matter integrity and network connectivity is the anatomical basis of the cognitive impairment in the aging population.