Applying deep neural networks for user intention identification

© 2020, Springer-Verlag GmbH Germany, part of Springer Nature. The social media revolution has provided the online community an opportunity and facility to communicate their views, opinions and intentions about events, policies, services and products. The intent identification aims at detecting intents from user reviews, i.e., whether a given user review contains intention or not. The intent identification, also called intent mining, assists business organizations in identifying user’s purchase intentions. The prior works have focused on using only the CNN model to perform the feature extraction without retaining the sequence correlation. Moreover, many recent studies have applied classical feature representation techniques followed by a machine learning classifier. We examine the intention review identification problem using a deep learning model with an emphasis on maintaining the sequence correlation and also to retain information for a long time span. The proposed method consists of the convolutional neural network along with long short-term memory for efficient detection of intention in a given review, i.e., whether the review is an intent vs non-intent. The experimental results depict that the performance of the proposed system is better with respect to the baseline techniques with an accuracy of 92% for Dataset1 and 94% for Dataset2. Moreover, statistical analysis also depicts the effectiveness of the proposed method with respect to the comparing methods

Analisis Dampak Pandemi Covid-19 Terhadap Ekonomi Para Pekerja Seni Musik Di Surakarta (Studi Kasus Kota Surakarta)

Habib Anam Rifai. I000170022. Analysis Of The Impact Of The Covid-19 Pandemic On The Economy In Surakarta (Case Study Of Surakarta City)Art in development has become part of the joints of life that are difficult to separate, whether in traditional music, modern music or contemporary music. Not only for entertainment, because traditional art music is a characteristic of certain regions and can influence people's point of view But with the conditions, the creative process begins to be somewhat limited because the Covid-19 pandemic has changed humans in various aspects. Different from health sector, corona virus has created great anxiety in the economic sector, especially for art workers in the music sector (music art workers) who are not guaranteed to be bound by contracts with large companies (labels). This study aims to determine the process of balancing an unstable economy into a stable one and how to cope with the economy during a pandemic for music art workers in Surakarta. The research used a field research type with a qualitative approach. The data collection methods used interviews and documentation. The results of data analysis explained that the Covid-19 pandemic that was endemic in Indonesia had an impact on art workers in the Surakarta area, especially the Putra New Erlangga art group and the Jovi Music School art school. If in the original state (before the pandemic) their business tended to run smoothly and there were many performance schedules and purchases of art products, during the pandemic the performance schedule was greatly reduced, even until they closed (delayed until an uncertain time) As an effort to maintain the existence of the Putra New Erlangga music group carry out various marketing efforts during the pandemic such as; more active in marketing via online through social media (instagram, face book, tokopedia, shopee) and other similar products to introduce traditional musical instrument craft products

Applying Deep Neural Networks for Predicting Dark Triad Personality Trait of Online Users

© 2020 IEEE. In the recent times, the social networking sites act as a rich source of information, which is shared among online users, who post comments and express their opinions in the form of likes and dislikes. Such content reflects important clues about the personality and behavior of the online community. The dark triad personality traits, such as the psychopathic behavior of individuals, can be detected using computational models. The earlier studies on the dark triad (psychopath) prediction exploit traditional machine learning techniques with limited dataset size. Therefore, it is required to develop an advanced deep neural network-based technique. In this work, we implement a deep neural network model, namely BILSTM for the efficient prediction of dark triad (psychopath) personality traits regarding online users. Experimental results depict that the proposed model attained an improved AUC (0.82) when compared to the baseline study

Perbandingan Bahasa Antara Modern Standard Arabic Dengan Aksen Lebanon

This study aims to determine the dialect comparison between Lebanese Arabic (colloquial Arabic) and Fusha Arabic (modern standard Arabic/MSA) so that it can add insight and knowledge about dialect Arabic. This study uses a qualitative descriptive method with a library approach in revealing differences in pronunciation in Fusha Arabic and Lebanese dialects. The results of this study indicate that there are several differences in phonological variations in the pronunciation of Arabic vocabulary. [1] There is a strengthening of the vocabulary sound from أنت (anta) to أنت (enta). [2] The existence of Lenisi as in the wordمعلم becomes معلم . [3] There is a monophthongization of يوم(yauma) to يوم(youma). [4] There is a sound dating as in the word وجه(Wajhu) to وج(wejj). [5] Merging 2 words into one as in the word كيف حالك (kaifa haluka) becomes كيفك(kiifak). [6] The use of French loanwords such as the word بونجور(Bonjur)

Directly Printable Frequency Signatured Chipless RFID Tag for IoT Applications

This paper proposes a low-cost, compact, flexible passive chipless RFID tag that has been designed and analyzed. The tag is a bowtie-shaped resonator based structure with 36 slots; where each patch is loaded with 18 slots. The tag is set in a way that each slot in a patch corresponds to a metal gap in the other patch. Hence there is no mutual interference, and high data capacity of 36 bits is achieved in such compact size. Each slot corresponds to a resonance frequency in the RCS curve, and each resonance corresponds to a bit. The tag has been realized for Taconic TLX-0, PET, and Kapton (R) HN (DuPont (TM)) substrates with copper, aluminum, and silver nanoparticlebased ink (Cabot CCI-300) as conducting materials. The tag exhibits flexibility and well optimized while remaining in a compact size. The proposed tag yields 36 bits in a tag dimension of 24.5. 25.5 mm(2). These 36 bits can tag 2(36) number of objects/items. The ultimate high capacity, compact size, flexible passive chipless RFID tag can be arrayed in various industrial and IoT-based applications

Directly Printable Frequency Signature Chipless RFID Tag for IoT Applications

This Paper proposes a low-cost, compact, flexible passive chipless RFID tag that has been designed and analyzed. The tag is a bowtie-shaped resonator based structure with 36 slots; where each patch is loaded with 18 slots. The tag is set in a way that each slot in a patch corresponds to a metal gap in the other patch. Hence there is no mutual interference, and high data capacity of 36 bits is achieved in such compact size. Each slot corresponds to a resonance frequency in the RCS curve, and each resonance corresponds to a bit. The tag has been realized for Taconic TLX-0, PET, and Kapton®HN (DuPontTM) substrates with copper, aluminum, and silver nanoparticle-based ink (Cabot CCI-300) as conducting materials. The tag exhibits flexibility and well optimized while remaining in a compact size. The proposed tag yields 36 bits in a tag dimension of 24.5 x 25.5 mm^2. These 36 bits can tag 2^36 number of objects/items. The ultimate high capacity, compact size, flexible passive chipless RFID tag can be arrayed in various industrial and IoT-based applications

MEMBANGUN KEJAR (KAMPOENG BELAJAR) DAN PENGADAAN SARANA PEMBUATAN PLANG NAMA TOKOH MASYARAKAT SERTA PENUNJUK JALAN TPS3R

Kuliah Kerja Nyata merupakan salah satu bentuk pengabdian kepada masyarakat yang termasuk dalam Tri Dharma Perguruan Tinggi. Kuliah Kerja Nyata (KKN) adalah bentuk pendidikan mahasiswa yang dilakukan dengan cara memberikan pengalaman belajar secara nyata untuk hidup di tengah-tengah masyarakat secara langsung, mengidentifikasi, serta membantu menangani masalah-masalah yang ada di lingkungan masyarakat. Tujuan dilaksanakannya KKN oleh Universitas Bengkulu adalah agar mahasiswa memperoleh pengalaman belajar melalui keterlibatannya dalam masyarakat secara langsung, dapat memberikan sumbangan pikiran berdasarkan ilmu pengetahuan dan teknologi yang diperoleh selama kuliah, serta dapat meningkatkan hubungan antara Universitas Bengkulu dengan pemerintahan daerah, Instansi serta warga di lokasi KKN. Salah satu lokasi KKN mahasiswa UNIB Periode 99 adalah di Kelurahan Sumber Jaya RT 18 RW 06, Kecamatan Kampung Melayu, Kota Bengkulu. Pelaksanaan KKN di samping dilakukan secara reguler, juga dilaksanakan melalui program khusus sesuai dengan situasi dan kondisi yang ada pada masyarakat. Kegiatan mahasiswa KKN dilakukan dengan proses pendampingan dan kontrol oleh Dosen Pembimbing Lapangan (DPL) secara terprogram. Melalui program KKN, Universitas Bengkulu menugaskan mahasiswa KKN dalam melaksanakan tema OSSOF (One Student Save One Family) serta menugaskan mahasiswa KKN untuk ikut serta memberikan gagasan, ide, pemikiran dan tindakan. Oleh karena itu kelompok kami menetapkan program kerja yang sesuai dengan tema KKN tersebut yaitu Membangun kejar (kampoeng belajar) untuk anak-anak di kelurahan sumber jaya RT 18 RW06 sebagai wadah anak-anak untuk meningkatkan minat belajar. Selain itu, kelompok kami juga memiliki proker lainnya, yaitu pembuatan plang nama untuk tokoh masyarakat (RT, RW, Ketua muda mudi) serta plang penunjuk jalan menuju TPS3R, sebagai penanda dan mempermudah untuk mencari sebuah alamat yang akan dituju. Adapun metode yang digunakan dalam Kuliah Kerja Nyata ini adalah observasi, yaitu dilakukannya peninjauan atau pengamatan secara langsung dengan melihat kegiatan-kegiatan sekitar lokasi kegiatan pelaksanaan KKN. Pada tahapan pelaksanaan, mahasiswa mempersiapkan materi terlebih dahulu terkait dengan kegiatan yang akan dilakukan

Translation and cultural adaptation of Shoulder Pain and Disability Index in Urdu (SPADI-U)

Introduction: Shoulder joint is the third most-frequently involved structure in musculoskeletal conditions globally. More than 30 shoulder specific questionnaires have been generated in English in order to measure shoulder related quality of life and incidence of pain. Among all these questionnaires, Shoulder Pain and Disability Index (SPADI) is one of the most useful tools, therefore it has been translated, culturally adapted and validated to many languages. This study was carried out to translate and culturally adapt SPADI into Urdu language. Material & Methods: Study was conducted over a timeframe of three months, that’s March 2019 to May 2019 in Helping Hand Institute of Rehabilitation Sciences, Mansehra. Translation and cultural adaptation of Shoulder Pain and Disability Index (SPADI) was carried out according to internationally published six-step guidelines. In accordance with the provided directions a number of changes were made to the six-step guidelines. Through consensus of the expert panel, its final version was field in and tested on forty individuals with and without shoulder pathologies in an equal proportion. Results: Changes were required during each step of Beaton’s guidelines for cross-cultural adaptation. Translators during ‘forward and backward translations’ had faced a number of obstacles. Minor differences were found during reconciliation process and expert panel review. The pilot testing highlighted, misinterpretation among target population regarding item 3, 5, 7 and 8 of disability scale due to cultural differences. These items were adjusted according to cultural relevance and conceptual equivalence to the original version. Final version was found relevant and easily understood by the patients having shoulder pathology. Conclusion: SPADI-U has good face and content validity and it can be used to measure shoulder related quality of life in Urdu speaking population

Salt stress proteins in plants: An overview

Salinity stress is considered the most devastating abiotic stress for crop productivity. Accumulating different types of soluble proteins has evolved as a vital strategy that plays a central regulatory role in the growth and development of plants subjected to salt stress. In the last two decades, efforts have been undertaken to critically examine the genome structure and functions of the transcriptome in plants subjected to salinity stress. Although genomics and transcriptomics studies indicate physiological and biochemical alterations in plants, it do not reflect changes in the amount and type of proteins corresponding to gene expression at the transcriptome level. In addition, proteins are a more reliable determinant of salt tolerance than simple gene expression as they play major roles in shaping physiological traits in salt-tolerant phenotypes. However, little information is available on salt stress-responsive proteins and their possible modes of action in conferring salinity stress tolerance. In addition, a complete proteome profile under normal or stress conditions has not been established yet for any model plant species. Similarly, a complete set of low abundant and key stress regulatory proteins in plants has not been identified. Furthermore, insufficient information on post-translational modifications in salt stress regulatory proteins is available. Therefore, in recent past, studies focused on exploring changes in protein expression under salt stress, which will complement genomic, transcriptomic, and physiological studies in understanding mechanism of salt tolerance in plants. This review focused on recent studies on proteome profiling in plants subjected to salinity stress, and provide synthesis of updated literature about how salinity regulates various salt stress proteins involved in the plant salt tolerance mechanism. This review also highlights the recent reports on regulation of salt stress proteins using transgenic approaches with enhanced salt stress tolerance in crops