bluuebunny/crossref_metadata_2025 huggingface dataset:
Makalah Studi Kelayakan Bisnis tentang "Aspek Pasar dan Pemasaran" disusun oleh Aliah Adillah_90500120031
Authors: Adillah Aliah
Published: November 2021

Di negara berkembang ini banyak sekali perusahaan-perusahaan yang bersaing dengan beragam inovasi dalam mengembangkan bisnisnya agar lebih maju. Dalam suatu bisnis dibutuhkan sekali banyak pertimbangan bagaimana agar keuntungan atau profit yang didapatkan lebih banyak daripada modal yang dikeluarkan tetapi kualitas tetap diutamakan. Disini pasar merupakan tempat penyedia produk atau barang yang akan di perjualbelikan. Aspek pasar dan pemasaran sangat dibutuhkan agar proses jual beli tersebut dapat berjalan dengan lancar. Semua pihak harus memiliki studi atau pembelajaran yang baik agar suatu bisnis dapat berjalan dengan baik atau mungkin sebaliknya. Bagi perusahaan baru harus mengerti tentang bisnis apa yang akan dijalankan. Jadi perlu memahami tentang studi kelayakan bisnis agar bisnisnya sesuai dengan yang diharapkan, Dapat diketahui seberapa pentingnya aspek pasar dan pemasaran dalam suatu bisnis. Dimana dalam suatu bisnis aspek pasar dan pemasaran merupakan aspek yang paling utama. Aspek pasar digunakan untuk mengetahui seberapa besar permintaan yang ada sehingga bisnisnya berjalan dengan tepat. Banyaknya persaingan yang terjadi di pasar membuat studi aspek pemasaran dibutuhkan untuk mengurangi hal-hal yang sifatnya dapat merugikan perusahaan. Posisi pemasaran yang tepat akan membuat perusahaan mendapatkan keuntungan yang diinginkan. Strategi yang tepat sangat dibutuhkan pada aspek pasar dan pemasaran ini. Penggunaan analisis SWOT (Strength, Weakness, Opportunity, Treaty) merupakan strategi pemasaran yang tepat dalam suatu bisnis. Strategi pemasaran membuat bisnis terjamin keuntungannya karena sudah tersusun dengan baik. Dalam melakukan pemasaran, aspek pasar adalah yang dituju karena kita harus mengetahui kondisinya seperti apa. Pada produk yang dipasarkan juga harus memiliki studi apakah produk tersebut untuk semua kalangan atau tidak. Karena hal tersebut akan mempengaruhi besarnya biaya yang akan dikeluarkan. Aspek pasar dan pemasaran merupakan studi untuk mengetahui situasi serta kondisi pasar dan seberapa besarnya permintaan dengan jumlah produk yang akan diproduksi.
WlCount: Geological lamination detection and counting using an image analysis approach
Authors: Oriani Fabio , Treble Pauline , Baker Andy , Mariéthoz Grégoire
Published: November 2021

The manual identification and count of laminae in layered textures is a common practice in the study of geological records, which can be time consuming and carry large uncertainty for dense or disturbed lamina textures. We present here a novel image analysis approach to detect and count laminae in geoscientific imagery, called WlCount. Based on Dynamic Time Warping and Wavelet analysis, WlCount firstly aligns persistent vertical elements to increase the continuity of the lamina structure. Then, using a graphical interface, the user extracts the most significant signal frequencies and allows the automatic count of the laminae. The software, tested on a series of stalagmite cut images showing different types of laminations and a tree-ring image, provides an estimation of the laminae detection and count comparable to the manual one. WlCount presents as a useful open-source tool to help geoscientists, sensibly speeding up the lamination count process.
The Role of Mediation in Resolving Conflict Situations in the System of Educational Institutions
Authors: Grigorets Faniia Ismagilovna , Shutova Elena Gennadievna
Published: November 2021

The article discusses mediation – one of the modern methods of conflict resolution. It is noted that mediation plays an important role in the management process, because if you properly organize meditative assistance in your educational institution then the socio-psychological climate will become favorable. The authors also identified a number of difficulties associated with the implementation of mediation from the point of view of the management process in an educational institution.
Pengaruh Komunikasi, Motivasi, dan Kedisiplinan terhadap Prestasi Belajar Mahasiswa
Authors: Sunarsih Sunarsih , Zain Desvira , Sulaiman Sulaiman
Published: November 2021

This study aims to determine the effect of communication, motivation and discipline on student learning achievement majoring in business administration. In this study, the sample was 88 people from a population of 750 people who were taken randomly, using regression analysis. Sources of data obtained are primary data and secondary data. With a quantitative approach. Data collection techniques through interview techniques, observation and documentation. The data analysis technique is by means of assumption test, descriptive analysis and statistical analysis with linear regression using the help of SPSS (Social Sciences Program Statistics) version 22.0. From the research that has been done, it shows that communication, motivation and discipline on student achievement of majoring in business administration have a significant effect. Communication, motivation and discipline influence student achievement so that educators / lecturers continue to improve student readiness in the learning process so that they can be maximized so as to improve student achievement. The potential of students must continue to be developed so that it becomes a complete achievement.
Evaluasi Daya Tarik Wisata Lanskap Sejarah Istana Alwatzikhoebillah Sambas Kalimantan Barat
Authors: Sabahan Sabahan
Published: November 2021

The Alwadzikhoebillah Palace area is a cultural heritage related to the history of ancient Sambas. The landscape of the palace building is in the form of a stage and is located close to the river. Rivers are the main infrastructure in carrying out social and government activities. In addition to government interests, the existence of the Alwadzikhoebillah Palace area near the river is also based on the philosophy of the Malay community who believes that a good building location is a place close to a spring. This study uses quantitative and descriptive methods to analyze the relationship between existing data by looking at the potential and constraints that affect tourism activities. The quantitative method was carried out using a simple scoring technique based on the criteria of MacKinnon et al. (1986) with several modifications adapted to the conditions and research needs to assess the potential as a tourist attraction which consists of several components. This evaluation indicates that the Alwatzikhoebillah Palace area actually has two tourist objects and attractions (67%) in the very potential category (S1) and one tourist object and attraction (33%) in the quite potential category (S2). Objects and tourist attractions in the Alwadzikhoebillah Palace area have good access values. All of these accesses are in good condition, namely in the form of flat asphalt roads with no holes and can be passed by two and four-wheeled vehicles. It's just that in the dining area the ease of access is worth less due to the limited parking area for visitors.
When Princesses Become Dragons
Authors: Boehm Shelby , Colantonio-Yurko Kathleen , Olmstead Kathleen , Miller Henry “Cody”
Published: November 2021

In this article we offer curricular suggestions for teaching Elana K. Arnold’s young adult titleDamsel, a subverted fairytale rewrite, using a critical literacy framework. In doing so, we outline how English curriculum has often upheld oppressive systems that harm women, and how our teaching can challenge such systems. We situate this work through the retelling of a fairytale trope given the ubiquity of such stories in secondary students’ lives. Our writings have teaching implications for both secondary English language arts classrooms and higher education fields such as English, folklore, mythology, and gender studies. We end by noting the limitations of such teaching.
Beyond Representation
Authors: Lemieux Amélie
Published: November 2021

Kristine Blair. 2019. Technofeminist Storiographies: Women, Information Technology, and Cultural Representation.
The Concept of «Nation» in New Russian Monographs
Authors: Задорнов Александр
Published: November 2021

Настоящая статья представляет собою библиографический обзор публикаций 2019 года, посвящённых понятию «нация». Данное понятие входит в состав понятийного аппарата современной православной практической теологии, в частности дисциплины «Церковь, государство и общество», построенной как комментарий к документу Основы социальной концепции Русской Православной Церкви. В самом этом документе понятию «нации» посвящена отдельная глава, остающаяся актуальной и с точки зрения современных подходов к проблеме.

This article presents a bibliographic review of 2019’ publications devoted to the concept of «nation». This concept is part of the conceptual apparatus of modern Orthodox practical theology, in particular the discipline «The Church, State and Society», built as a commentary to the document on the Basis of the Social Concept of the Russian Orthodox Church. In this document itself, the concept of «nation» is devoted to a separate chapter, which remains relevant from the point of view of modern approaches to the problem.
Protection of Religious Freedom of Forced Migrants by International Law in Force
Authors: Киселева Екатерина Вячеславовна , Кажаева Ольга Сергеевна
Published: November 2021

Как и в ветхозаветное, так и в настоящее время люди бывают вынуждены спасаться бегством ради сохранения своей жизни, убеждений и т. п. Однако, если в давние времена касательно защиты таких беглецов существовали лишь локальные правовые нормы, современное международное право имеет значительную степень универсальности и создает достаточно широкую основу для правовой защиты. Нередко в контексте вынужденной миграции встают вопросы вероисповедания. Данная статья посвящена проблемам, возникающим на стыке права человека на свободу вероисповедания и вынужденного территориального перемещения лиц, с позиций действующего международного права. Выявлены три основные точки пересечения свободы религии и убеждений, с одной стороны, и вынужденной миграции, с другой: стремление сохранить вероисповедание как причина бегства, защита свободы вероисповедания на территории убежища, свобода вероисповедания в контексте долгосрочных решений проблем вынужденных мигрантов. Применительно к каждому аспекту выделены международно-правовые основы и приведены примеры, иллюстрирующие далекую от безоблачности ситуацию на практике. Где это возможно, акцентируется внимание на тех проблемах, с которыми сталкиваются христиане. Изложению основного материала предшествуют фактологические выкладки как по вероисповеданию, так и по вынужденной миграции в мире.

As in the Old Testament, people are forced today as well to escape for the sake of preserving their lives, beliefs, etc. However, if in ancientry only local legal norms existed in respect of the protection of such escapees, contemporary international law has a significant degree of universality and creates a sufficiently broad basis for their legal protection. Religious issues often arise in the context of forced migration. This article is focused on the problems that arise at the intersection of the human right to freedom of religion and forced territorial movement of persons, from the perspective of contemporary international law. Three main points of intersection between freedom of religion or belief and forced migration were identified: the desire to preserve one’s faith as a cause of flight, the protection of freedom of religion in the territory of asylum, freedom of religion in the context of durable solutions to the problems of forced migrants. For each aspect, the international legal framework is reviewed and presented, and examples are provided to illustrate the situation that is far from being serene in practice. Where possible, attention is paid to the problems faced by Christians. The main material is preceded with background information both about religion and forced migration in the world.
Connectivism Learning Theory to Enhance Higher Education in the Context of COVID-19 Pandemic
Authors: Al-Mutairi Nadia Mohammed
Published: November 2021

ABSTRACT The global pandemic of the COVID-19 has posed a significant challenge to educational organizations, necessitating obligatory changes in practically education. In a short period of time, educational organizations have been compelled to adapt to distance learning approaches and platforms. The primary goal of this research is to examine to present Connectivism Theory as an effective motivated theory to help the higher education learners to learn more successfully. Connectivism Learning Theory offers the best learning environment by establishing an explicit connection between social interaction and knowledge sharing. A review of literature has been done. The findings of the literature review highlight the fundamental theoretical assumptions that underpin their evolution. It also illustrates that connectivism learning theory improve higher education student’s engagement in the learning process. The researchers conclude that connectivism learning theory has the potential to disclose new insights into the use of the social network in education leading to successful outcomes.
The Development of a Quality of Life Research Centre in Universities in the Light of Global Models
Authors: Alahmed Hind Al-
Published: November 2021

ABSTRACT This study aimed to explore the foundations and components of the development of the Quality of Life Research Centre (QLRC) in universities in the light of global models. The study adopts the analysis of the conceptual and organisational frameworks of QLRC and a survey to gain most important global models of QLRCs in universities. The researcher used the descriptive documentary approach and the method of the source-content analysis as they best match the objectives of the current study. The study population included QLRCs (think tanks) in universities in China, the USA, Canada, the UK and Australia. Findings revealed that it is difficult to formulate a specific definition of quality-of-life concept because this concept is linked to the cultural factors of each society, and that QLRCs are a new entrant to the development of scientific research in universities, and also that these centres enhance the knowledge of well-being for policymakers and the wider public as well as build and improve relationships between scholars and relevant stakeholders from various sectors in the society
Sand and The City: The historical geography of sand mining in Jeneberang River and its relation to urban development in South Sulawesi
Authors: Kusumaningrum Dwiyanti , Hafsari Tria Anggita , Syam Lukman
Published: November 2021

This exploratory research aims to elaborate the historical geography of sand mining in Jeneberang River and analyze its relation to urban development in South Sulawesi. This paper attempts to comprehensively explain and enrich the literature on Jeneberang start from physical setting of Jeneberang River to the history of Makassar and transformation of traditional houses to explain how sand perceived as a commodity and how sand mining has developed. We use a qualitative approach that emphasizes the interpretation of spatiotemporal morphology of sandbanks in Jeneberang River and investigate sand mining activities from time to time. The method consists of a study of Jeneberang historical literature, spatiotemporal analysis, in-depth interviews, and field observations. We find that sands have started to become a commodity since urban development began in South Sulawesi. With volcanic and marine sedimentary rocks dominate the region and the braided river morphology, Jeneberang River is rich of sand and gravel materials. The ‘modern’ architecture brought by the Dutch and South Sulawesi rebellion in 1950 has affected major transformation from wooden traditional houses to concrete-building houses, which indirectly affect the sand mining activities in Jeneberang. No more wooden and bamboo or palm leaves, but sand and gravel for concrete materials. In the current context, Makassar’s rapid urbanization and economic growth in have increased the demand of building materials from Jeneberang River. In addition, rapid urbanization has also been changed the livelihoods of local communities, especially in the suburb to cope with the urban development. Many people who previously work as farmers are now becoming sand miners because they perceive that sand mining is more profitable than agriculture.
Służba rycerska i mieszczańska oraz jej uzbrojenie na Górnych Łużycach za czasów Luksemburgów. Stan badań
Authors: Dudziński Michał
Published: November 2021

This article presents the state of research on the military service of knights and townspeople of Upper Lusatia and their armament during the Luxembourg reign. These considerations include not only the presentation of scientific achievements in this field, but also the justification of the intention to address this issue. The paper is a draft in nature. In terms of quantity, the source material is rich, although in terms of quality it looks less impressive. The richest archive collections can be found in Germany. The archives in Poland and the Czech Republic are also noteworthy, although they are not very large. Most attention was paid to this issue by German researchers, although the problem was often on the sidelines of main considerations. The most valuable studies were conducted by prominent Upper Lusatian historians Hermann Knothe and Richard Jecht. In Poland, the problem is not widely considered, although the research by Mateusz Goliński and Robert Heś is worthy of attention. Despite the fact that studies on this issue are not very well developed, it is justified to work on a potential publication on this subject. This need stems from the growing interest in Upper Lusatia and the inspiring works of medieval historians from Wrocław. Key words: Upper Lusatia, Luxembourg dynasty, military service of knights and townspeople, state of research, armament, Hermann Knothe, Richard Jecht
Polowanie na orły. Wstępny etap rozpracowania lotników byłych Polskich Sił Powietrznych przez Urząd Bezpieczeństwa w ramach operacji „Mewa” (1948–1949)
Authors: Sojda Grzegorz , Śliżewski Grzegorz
Published: November 2021

This study is an attempt to present the beginnings of the operational activities of the Security Office (Urząd Bezpieczeństwa, UB) against Polish Air Force airmen returning to the country. In the period immediately after the end of World War II, almost ¼ of Polish Air Force soldiers returned to Poland, trying to make a new beginning in the country. At that time, the interest of the UB in the aviators was incidental, and the activities of the security service were part of general spying on returning emigrants. They were of regional character and were not coordinated by the Ministries of Public Security until June 1948, when the intelligence activity of Lieutenant Pilot Władysław Śliwiński was discovered. The final caesura of this study is the date of the implementation of new methods of conducting and documenting the operational activity against former Polish Air Force aviators.
Oficerowie Biura Historycznego i Wojskowego Biura Historycznego w latach 1922–1939 (część 1)
Authors: Tuliński Arkadiusz
Published: November 2021

The presented biographical collective study concerns the officers of the Historical Bureau/Military Historical Bureau (BH/WBH). It contains biographical notes on officers serving in BH/WBH in 1922–1939, preceded by a preliminary collective portrait of the officers. The biographical notes were prepared taking into account especially their age, civil education, knowledge of foreign languages, the course of military service, work in headquarters or such entities as military museums or educational institutions. The author’s intention was to concisely present both the dynamic development of the office and the professional level of officers assigned to it.
Skład, rozmieszczenie, plany operacyjne i rola Frontu Mazowieckiego na froncie przeciwniemieckim w 1919 roku
Authors: Pieńkowski Maciej
Published: November 2021

The article discusses the functioning of the Mazovian Front within the anti-German front in 1919. The Mazovian Front played an important role in shielding Warsaw from an expected German attack from the Toruń–Mława line, which posed a threat for Greater Poland to be outflanked and Warsaw to be captured. Therefore, the High Command of the Polish Army directed initially four infantry divisions to northern Mazovia, and the main burden of defending the section stretching from the Augustów Canal to Aleksandrów Kujawski was taken over by Haller divisions and the 8th Infantry Division. In the High Command of the Polish Army it was expected that the units of the Mazovian Front would give the attacking Germans a battle on the Narew and Biebrza lines, while concentrating their power and resources in the Modlin–Pułtusk–Zegrze triangle. Due to the absence of natural barriers on the right bank of the Vistula River, the Polish command did not plan much resistance above Płock and Włocławek. As part of active defense, however, it took into account counterstrikes on the enemy’s wings in the Grudziądz–Brodnica or Działdowo direction. These plans did not correspond to the limited capabilities of the forces opposing Germany, especially the smallness of them resulting from the fights in the east. Despite signing the Treaty of Versailles, German provocations aimed at dragging Poland into a state of open conflict continued – there were frequent incidents of trespassing the border, occupying Polish areas and locations, fire exchanges and mutual arrests on charges of espionage.
Bitwa w Pradolinie Redy-Łeby. Działania bojowe sowieckich wojsk pancernych na kierunku Gdyni (6–16 marca 1945 r.)
Authors: Anduła Kamil
Published: November 2021

The history of battles in Gdańsk Pomerania in 1945 was shaped by Soviet historiography. Relying on the source material from the Central Archives of the Ministry of Defence of the Russian Federation, the article presents the operational activities of Soviet armoured units in the outskirts of Gdynia. Of great importance for the course of the fights for Gdynia was the battle in Reda-Łeba Glacial Valley. On March 6, 1945, the units of the 2nd Belorussian Front began a rapid offensive and quickly seized Sławno, Słupsk and Lębork. Despite the high speed of the offensive, the Soviets did not manage to destroy the retreating German forces. Basing on a system of anti-aircraft defense posts, German 2nd Army units managed to stop the Soviet attack at Wejherowo and Rumia. The thopographical characteristics of Gdańsk Pomerania had a strong influence on the fights. The course and effects of the battle in the Reda-Łeba Glacial Valley forced the command of the 2nd Belorussian Front to reconsider the previous operational assumptions. As consequence of the Soviet failure in the Reda-Łeba Glacial Valley, Marshal Konstantin Rokossovsky ordered to send additional forces to fight for Gdynia. For the sake of propaganda, the Polish 1st Armoured Brigade of the Heroes of Westerplatte was also engaged in the battle, which came at a price of heavy casualties.
VANET: Trust Evaluation Using Artificial Neural Network
Authors: Mahalakshmi G  , Uma E  , Vinitha M  , Aroosiya M
Published: November 2021

There is an increasing emphasis on enhancing the efficiency traffic management systems. Information is exchanged between the vehicular nodes to efficiently monitor and control huge volumes of vehicle. All existing applications in this area have focused on reliable data exchange and authentication process of vehicular nodes to forward messages. This study proposes a new entity centric trust framework using decision tree classification and artificial neural networks. Decision tree classification is used to derive rules for trust calculation and artificial neural networks are used to self-train the vehicular nodes, when expected value is not met. This model uses multifaceted role and distance based metrics like Euclidean distance to estimate the trust. The proposed entity centric trust model, uses a versatile new direct and recommended trust evaluation strategy to compute trust values. The suggested model is simple, reliable and efficient in comparison to the other popular entity centric trust models.
An Efficient Algorithm for Movie Recommendation System
Authors: Anitha R  , Surya Koti Kiran A  , Anurag K  , Nikhil Y
Published: November 2021

Now a day’s recommendation system has changed the fashion of looking the items of our interest. OTT Movie Application Recommendation for mobile users is crucial. It performs a complete aggregation of user preferences, reviews and emotions to help you make suitable movies. It needs every precision and timeliness, however,this can be info filtering approach that’s accustomed predict the preference of that user. Recommender System may be a system that seeks to predict or filter preferences in keeping with the user’s selections. The very common purpose where recommender system is applied are OTT platforms, search engines, articles, music, videos etc During this work we tend to propose a Collaborative approach-based Movie Recommendation system. it is supported collaborative filtering approach that creates use of the knowledge provided by users, analyzes them so recommends the flicks that’s best suited to the user at that point. The suggested motion picture list is sorted in keeping with the ratings given to those movies by previous users. It conjointly helps users to search out of their selections supported the movie expertise of alternative users in economical and effective manner while not wasting a lot of time in useless browsing [1]. Therefore, we tend to offer the item-oriented methodology of the analysis of social network as the steering force of this method to further improve accuracy within the recommendation system. We tend to propose economic healthcare associates during this paper The algorithmic rule of the Film Recommendation supported improved KNN strategy that measures simpler advisory system accuracy. However, to evaluate performance, the k closest victimized neighbors, the maximum inner circles, as well as the basic inner strategies are used [2]. The exception to this is the projected results, which use algorithms to check for (supposedly) involvement.The performance results show that the projected strategies improve additional accuracy of the Movie recommendation system than the other strategies employed in this experiment.
Deep Learning Based Static Analysis of Malwares in Android Applications
Authors: Nivedha K  , Indra Gandhi K  , Shibi S  , Nithesh V  , Ashwin M
Published: November 2021

Android is a widely distributed mobile operating system developed especially for mobile devices with touch screens. It is an open source, Google-distributed Linux-based mobile operating system. Since Android is open source, it enables Android devices to be targeted effectively by malware developers. Third-party markets do not search for malicious applications in their databases, so installing Android Application Packages (APKs) from these uncontrolled market places is often risky. Without user’s notice, these malware infected applications gain access to private user data, send text messages that costs the user, or hide malware apk file inside another application. The total number of new samples of Android malware amounted to 482,579 per month as of March 2020. In this paper deep learning approach that focuses on malware detection in android apps to protect data on user devices. We use different static features that are present in an Android application for the implementation of the proposed system. The system extracts various static features and gives them to the classifier for deep learning and shows the results. This proposed system will assist users in checking applications that are not downloaded from the official market.
Parallel Computing Enabled Cloudd-Based IOT Applications
Authors: Abiraami T V  , Maithili K  , Nivetha J E
Published: November 2021

In delay-sensitive IoT applications, the acquisition and processing of data from the sensor devices to the cloud-based computing environment result in higher computational cost and inefficient system. The cloud servers dedicated to performing larger tasks are found quite difficult as IoT applications collect data frequently. Hence there is a constant retrieval and updating leads to the synchronization of data in the cloud. The potential of cloud servers and virtual machines tend to lose the ability of computing larger tasks. Hence the scope of parallel computing in cloud-based IoT applications are proposed with certain parallel shared models of computation. The Parallel Random Access Machine is introduced in cloud-based IoT applications. The parallel algorithms are designed to eliminate the conflicts encountered in the proposed model. Hence Conflicts of Concurrent Read Concurrent Write PRAM and Conflicts of Concurrent Read Exclusive Write PRAM algorithms are introduced which promotes the efficiency of cloud-based IoT applications.
Smartphone Controlled Fingerprint Door Look System (SCFDLS)
Authors: Ponmalar A  , Anand J  , Dharshini S  , Aishwariya K  , Mahalakshmi S  , Abinaya S
Published: November 2021

Currently, the entire globe is infected with COVID 19, and everyone is doing everything they can do to avoid contracting this serious sickness by adhering to social segregation, wearing coverings, using credit-only exchanges, and refraining from contacting anything to prevent the spread of germs. With the advancement of technology, traditional locks are becoming relics of the past, while new biometric-based locks and Radio Frequency Identification (RFID)-based locks are becoming increasingly in common. The unique finger impression based locks, as well as participation record-keeping devices, are used in the vast majority of offices and universities, however due to the pandemic, it is no longer appropriate to do so. As a result, the proposed system use a solenoid lock to make the door lock. Aside from the equipment, a mobile application is used to inspect and double-check the finger impression and send the confirmation, as well as an id, to Arduino through Bluetooth. The entry way lock will be bolted and opened using the smartphone fingerprint sensor.
Partnering a Compensatory Application with Activity-Aware Prompting to Improve Use in Individuals with Amnestic Mild Cognitive Impairment: A Randomized Controlled Pilot Clinical Trial
Authors: Schmitter-Edgecombe Maureen , Brown Katelyn , Luna Catherine , Chilton Reanne , Sumida Catherine A. , Holder Lawrence , Cook Diane
Published: November 2021

Background: Compensatory aids can help mitigate the impact of progressive cognitive impairment on daily living. Objective: We evaluate whether the learning and sustained use of an Electronic Memory and Management Aid (EMMA) application can be augmented through a partnership with real-time, activity-aware transition-based prompting delivered by a smart home. Methods: Thirty-two adults who met criteria for amnestic mild cognitive impairment (aMCI) were randomized to learn to use the EMMA app on its own (N = 17) or when partnered with smart home prompting (N = 15). The four-week, five-session manualized EMMA training was conducted individually in participant homes by trained clinicians. Monthly questionnaires were completed by phone with trained personnel blind to study hypotheses. EMMA data metrics were collected continuously for four months. For the partnered condition, activity-aware prompting was on during training and post-training months 1 and 3, and off during post-training month 2. Results: The analyzed aMCI sample included 15 EMMA-only and 14 partnered. Compared to the EMMA-only condition, by week four of training, participants in the partnered condition were engaging with EMMA more times daily and using more basic and advanced features. These advantages were maintained throughout the post-training phase with less loss of EMMA app use over time. There was little differential impact of the intervention on self-report primary (everyday functioning, quality of life) and secondary (coping, satisfaction with life) outcomes. Conclusion: Activity-aware prompting technology enhanced acquisition, habit formation and long-term use of a digital device by individuals with aMCI. (ClinicalTrials.gov NCT03453554).
Non-diacritized Arabic speech recognition based on CNN-LSTM and attention-based models
Authors: Alsayadi Hamzah A. , Abdelhamid Abdelaziz A. , Hegazy Islam , Fayed Zaki T.
Published: November 2021

Arabic language has a set of sound letters called diacritics, these diacritics play an essential role in the meaning of words and their articulations. The change in some diacritics leads to a change in the context of the sentence. However, the existence of these letters in the corpus transcription affects the accuracy of speech recognition. In this paper, we investigate the effect of diactrics on the Arabic speech recognition based end-to-end deep learning. The applied end-to-end approach includes CNN-LSTM and attention-based technique presented in the state-of-the-art framework namely, Espresso using Pytorch. In addition, and to the best of our knowledge, the approach of CNN-LSTM with attention-based has not been used in the task of Arabic Automatic speech recognition (ASR). To fill this gap, this paper proposes a new approach based on CNN-LSTM with attention based method for Arabic ASR. The language model in this approach is trained using RNN-LM and LSTM-LM and based on nondiacritized transcription of the speech corpus. The Standard Arabic Single Speaker Corpus (SASSC), after omitting the diacritics, is used to train and test the deep learning model. Experimental results show that the removal of diacritics decreased out-of-vocabulary and perplexity of the language model. In addition, the word error rate (WER) is significantly improved when compared to diacritized data. The achieved average reduction in WER is 13.52%.
ANFIS soft sensing model of SMB chromatographic separation process based on new adaptive population evolution particle swarm optimization algorithm
Authors: Wang Dan , Wang Jie-Sheng , Wang Shao-Yan , Xing Cheng , Li Xu-Dong
Published: November 2021

Aiming at predicting the purity of the extract and raffinate components in the simulated moving bed (SMB) chromatographic separation process, a soft-sensor modeling method was proposed by adoptig the hybrid learning algorithm based on an improved particle swarm optimization (PSO) algorithm and the least means squares (LMS) method to optimize the adaptive neural fuzzy inference system (ANFIS) parameters. The hybrid learning algorithm includes a premise parameter learning phase and a conclusion parameter learning phase. In the premise parameter learning stage, the input data space division of the SMB chromatographic separation process and the initialization of the premise parameters are realized based on the fuzzy C-means (FCM) clustering algorithm. Then, the improved PSO algorithm is used to calculate the excitation intensity and normalized excitation intensity of all the rules for each individual in the population. In the conclusion parameter learning phase, these linear parameters are identified by the LMS method. In order to improve population diversity and convergence accuracy, the population evolution rate function was defined. According to the relationship between population diversity, population fitness function and particle position change, a new adaptive population evolution particle swarm optimization (NAPEPSO) algorithm was proposed. The inertia weight is adaptively adjusted according to the evolution of the population and the change of the particle position, thereby improving the diversity of the particle swarm and the ability of the algorithm to jump out of the local optimal solution. The simulation results show that the proposed soft-sensor model can effectively predict the key economic and technical indicators of the SMB chromatographic separation process so as to meet the real-time and efficient operation of the SMB chromatographic separation process.
A comparative study of neural machine translation models for Turkish language
Authors: Özdemir Özgür , Akın Emre Salih , Velioğlu Rıza , Dalyan Tuğba
Published: November 2021

Machine translation (MT) is an important challenge in the fields of Computational Linguistics. In this study, we conducted neural machine translation (NMT) experiments on two different architectures. First, Sequence to Sequence (Seq2Seq) architecture along with a variation that utilizes attention mechanism is performed on translation task. Second, an architecture that is fully based on the self-attention mechanism, namely Transformer, is employed to perform a comprehensive comparison. Besides, the contribution of employing Byte Pair Encoding (BPE) and Gumbel Softmax distributions are examined for both architectures. The experiments are conducted on two different datasets: TED Talks that is one of the popular benchmark datasets for NMT especially among morphologically rich languages like Turkish and WMT18 News dataset that is provided by The Third Conference on Machine Translation (WMT) for shared tasks on various aspects of machine translation. The evaluation of Turkish-to-English translations’ results demonstrate that the Transformer model with combination of BPE and Gumbel Softmax achieved 22.4 BLEU score on TED Talks and 38.7 BLUE score on WMT18 News dataset. The empirical results support that using Gumbel Softmax distribution improves the quality of translations for both architectures.
Covering-based compound mean operators arising from Heronian and Bonferroni mean operators in fuzzy and intuitionistic fuzzy environments
Authors: Tian Yun Bo , Ma Zhen Ming
Published: November 2021

Both Heronian mean (HM) operators and Bonferroni mean (BM) operators can capture the interrelationship between input arguments and have been a hot research topic as a useful aggregation technique in fuzzy and intuitionistic fuzzy environments. In this paper, associated with the common characters of these operators we propose the covering-based compound mean operators in fuzzy environments to capture various interrelationships between input arguments, some desirable properties and special cases of the proposed mean operators are provided. Then, conditions under which these covering-based compound mean operators can be directly used to aggregate the membership degrees and nonmembership degrees of intuitionistic fuzzy information, are provided. In particular, novel intuitionistic fuzzy HM operators and intuitionistic fuzzy BM operators are directly derived from the classical ones. We list the detailed steps of multiple attribute decision making with the developed aggregation operators, and give a comparison of the new extensions of BM operators by this paper with the corresponding existing ones to prove the rationality and effectiveness of the proposed method.
PyComm: Malicious commands detection model for python scripts
Authors: Zhou Anmin , Huang Tianyi , Huang Cheng , Li Dunhan , Song Chuangchuang
Published: November 2021

Python is a concise language which can be used to build lightweight tools or dynamic object-orientated applications. The various attributes of Python have made it attractive to numerous malware authors. Attackers often embed malicious shell commands into Python scripts for illegal operations. However, traditional static analysis methods are not feasible to detect this kind of attack because they focus on common features and failure in finding those malicious commands. On the other hand, dynamic analysis is not optimal in this case for its time-consuming and inefficient. In this paper, we propose PyComm, a model for detecting malicious commands in Python scripts with multidimensional features based on machine learning, which considers both 12 statistical features and string sequences of Python source code. Meanwhile, three comparison experiments are designed to evaluate the validity of proposed method. Experimental results show that presented model has achieved an excellent performance based on those practical features and random forest (RF) algorithm, obtained an accuracy of 0.955 with a recall of 0.943.
DeepGCNs-Att: Point cloud semantic segmentation with contextual point representations
Authors: Jiang Bin , Wang Xinyu , Huang Li , Xiao Jian
Published: November 2021

Graph Convolutional Networks are able to characterize non-Euclidean spaces effectively compared with traditional Convolutional Neural Networks, which can extract the local features of the point cloud using deep neural networks, but it cannot make full use of the global features of the point cloud for semantic segmentation. To solve this problem, this paper proposes a novel network structure called DeepGCNs-Att that enables deep Graph Convolutional Network to aggregate global context features efficiently. Moreover, to speed up the computation, we add an Attention layer after the Graph Convolutional Network Backbone Block to mutually enhance the connection between the distant points of the non-Euclidean space. Our model is tested on the standard benchmark S3DIS. By comparing with other deep Graph Convolutional Networks, our DeepGCNs-Att’s mIoU has at least two percent higher than that of all other models and even shows excellent results in space complexity and computational complexity under the same number of Graph Convolutional Network layers.
A spatial-temporal topic model with sparse prior and RNN prior for bursty topic discovering in social networks
Authors: Zhu Xiaowei , Han Yu , Li Shichong , Wang Xinyin
Published: November 2021

With the rapid growth of social network users, the social network has accumulated massive social network topics. However, due to the randomness of content, it becomes sparse and noisy, accompanied by many daily chats and meaningless topics, which brings challenges to bursty topics discovery. To deal with these problems, this paper proposes the spatial-temporal topic model with sparse prior and recurrent neural networks (RNN) prior for bursty topic discovering (ST-SRTM). The semantic relationship of words is learned through RNN to alleviate the sparsity. The spatial-temporal areas information is introduced to focus on bursty topics for further weakening the semantic sparsity of social network context. Besides, we introduced the “Spike and Slab” prior to decouple the sparseness and smoothness. Simultaneously, we realized the automatic discovery of social network bursts by introducing the burstiness of words as the prior and binary switching variables. We constructed multiple sets of comparative experiments to verify the performance of ST-SRTM by leveraging different evaluation indicators on real Sina Weibo data sets. The experimental results confirm the superiority of our ST-SRTM.
Phase Ib/II trial of Ibrutinib and Nivolumab in Patients with Advanced Refractory Renal Cell Carcinoma
Authors: Parikh Mamta , Tenold Matthew E. , Qi Lihong , Lara Frances , Robles Daniel , Meyers Frederick J. , Lara Primo N.
Published: November 2021

BACKGROUND:

Although immune checkpoint inhibitor-based therapy has improved the outcomes of many patients with metastatic renal cell carcinoma (mRCC), most eventually develop disease progression. Newer agents that modulate immune response can possibly potentiate checkpoint inhibitor therapy. The ITK/ETK/BTK inhibitor ibrutinib has been reported to inhibit myeloid derived suppressor cells in preclinical models and to potentiate immunotherapy. We conducted an investigator-initiated trial of ibrutinib plus the PD1 inhibitor nivolumab in mRCC patients, particularly in those previously exposed to immune checkpoint inhibitors.

METHODS:

Eligible patients had mRCC of any histologic subtype, completed at least one line of prior systemic therapy which could have included prior immunotherapy, and had acceptable end-organ function with ECOG performance status of 0–2. Treatment consisted of nivolumab 240 mg intravenously every 2 weeks plus ibrutinib 560 mg (dose level 0) or 420 mg (dose level -1) orally once daily. Cycle length was 28 days. Dose limiting toxicity (DLT) was defined as any Grade 3 or higher adverse event (AE) attributable to therapy. After identification of the recommended phase 2 dose (RP2D), up to 19 patients were enrolled to an expansion cohort to further evaluate toxicities and any early evidence of efficacy. The primary endpoints of the trial were establishment of RP2D and progression-free survival (PFS).

RESULTS:

A total of 31 patients were enrolled, 6 to dose level 0, 7 (of which one was not evaluable for DLT) in dose level -1, and 18 in the expansion cohort. Median age was 60 years (range, 36–90), most had clear cell histology ( n = 27; 87%), and most had prior immune checkpoint inhibitor therapy ( n = 28; 90%). Three patients experienced one DLT each, all in dose level 0 (all Grade 3), namely elevated lipase, hypoalbuminemia, and nausea. No DLTs were seen in dose level –1 which was declared the RP2D. The most common Grade 3 or higher AEs include anemia ( n = 5), lymphocyte count decrease (4), nausea (2), and hypotension (2). Of 28 patients evaluable for response, one patient (3.6%) had a complete response, 2 (7.1%) had a partial response, and 11 (39.2%) had stable disease, for an objective response rate of 10.7%(95%CI: 3.7%–27.2%) and a disease control rate of 50%(95%CI: 32.6%–67.4%). All responders had received prior immune checkpoint inhibitor therapy. Median PFS was 2.5 months (95%CI, 1.9 –4.8) while median OS was 9.1 months (95%CI, 6.6 –19.0).

CONCLUSIONS:

Ibrutinib at a dose of 420 mg orally once daily in combination with nivolumab 240 mg IV every 2 weeks is feasible and tolerable in mRCC patients. No unique immune-related AEs were observed. Anti-tumor activity was seen in patients previously exposed to PD-1 targeted therapy.
Виготовлення авіаційних деталей з жароміцних нікелевих сплавів методом адитивного плазмового наплавлення
Authors: Гнатенко Михайло Олегович , Чігілейчик Сергій Леонідович , Сахно Сергій Сергійович
Published: November 2021

The aviation part of the ring-type was made of heat-resistant structural alloy EI 868 (HN60VT) by the method of additive multilayer plasma surfacing with wire. The traditional technology for obtaining this type of ring blank is the stamping of rods, which are then brought to the final shape of the part by further machining. The disadvantage of traditional technology is the significant cost of metal, which in the process of machining the pressed rod, is converted into chips and not reused, which increases the cost of the finished product. The use of additive technologies will significantly reduce the cost of material in obtaining annular workpieces by manufacturing a workpiece with a configuration as close as possible to the geometry of the part. Additive surfacing was performed on a robotic complex consisting of a plasma power supply SBI PMI-350 AC/DC TL and work FANUC M-710iC on a rigidly fixed substrate of steel 20. To determine the possibility of obtaining aviation parts using the method of layer-by-layer plasma surfacing, a study of the deposited material was conducted The structure of the grown part was studied, it was found that the microstructure corresponds to the normal state of the alloy EI868 (HN60W) in the microstructure of the fusion line is not visible, the structure is homogeneous with the mutual germination of grains between layers. Alloy parts obtained using the method of additive cultivation are at the level of cast blanks and forgings and at T = 900oC are: sв =35±5 кгс/мм2,s0,2 =49±5 кгс/мм2, y = 62±5 %. After machining the grown workpiece, a capillary method of control and radiation control of the grown part - cracks and other types of critical metallurgical defects was not detected. The practical significance of the introduction of this method is a significant reduction in material costs in obtaining parts and ensuring economic efficiency, which is about 159 thousand hryvnias.