bluuebunny/crossref_metadata_2025 huggingface dataset:
Uso de metilprednisolona en lesiones de médula espinal
Authors: Maldonado Maldonado Darwin Antonio , Zambrano Estévez Diana Carolina , Párraga Mendoza Ramón Antonio , Mena Paredes Henry David , Paredes Cerón Jessica Maricela , Vargas Rentería Stefany Jhuliana , Aguilera Castro Jhonatan Paul
Published: March 2024

La lesión de la médula espinal (LME) aguda es un evento traumático y catastrófico que puede causar una disfunción grave en la condición neurológica tanto motora, sensitiva como autónoma. Con el fin de evitar o de disminuir los efectos lesivos en la médula espinal se han desarrollado múltiples estudios de evaluación de la metilprednisolona (MPS), sin embargo, hasta la actualidad su uso sigue siendo controvertido y polémico. Resumir de manera práctica y sencilla el adecuado uso de la MPS en la LME aguda. En diciembre del 2023 realizamos una revisión respecto al uso de la MPS en la LME, la búsqueda se realizó en las bases de datos de PubMed, MEDLINE, EMBASE y Google Académico de los últimos 6 años. Se identificaron 20 estudios relacionados con el uso de MPS. Se recopiló la información para un adecuado uso de la MPS en la LME. El uso de MPS es el único tratamiento sugerido en ensayos clínicos, sin embargo, no ha logrado una mejoría estadísticamente significativa administrada dentro de las primeras 8 a 12 horas de la LME, además, aumentó el riesgo de hiperglucemia, infección de heridas, compromiso respiratorio, hemorragia gastrointestinal y muerte. No recomendamos el uso de MPS en pacientes con LME.
Difficulty Student Understand English Speech in the Second Semester of the English Study Program
Authors: Astri Astri juraini , Rakhmyta Yunie Amalia
Published: March 2024

Listening is a crucial skill that needs to be mastered in English language acquisition. However, several obstacles hinder the mastery of listening, such as difficulties in comprehending spoken language. In this scenario, there are a significant number of students who cannot comprehend the English language. The objective of this study is to identify the factors that contribute to students' difficulty in comprehending spoken English. The participants of this study consisted of English major students enrolled in the second semester at STAIN Gajah Putih Takengon. The focus of this research was to investigate the challenges that these students encounter when comprehending spoken language in the listening domain. The research methodology employed is qualitative. Regarding the internal instruments, this study employs observation, tests, and interviews. Research findings indicate that there are multiple factors that contribute to students' inability to comprehend English speech. The primary factors that influence students' listening skills are lack of concentration, speaking speed, and originality. The conclusion that can be inferred from this study is that the speed of speech delivery and a lack of concentration in listening are contributing factors to difficulty in understanding speech.
Kesenian Didong Sebagai Media Komunikasi Dan Pelestarian Pendidikan Karakter Masyarakat Gayo
Authors: Maulidha SA  , Habiburridho
Published: March 2024

Secara umum, banyak orang-orang mengartikan kesenian Didong merupakan suatu seni pertunjukan yang bertujuan untuk menghibur. Namun, pada dasarnya kesenian Didong dapat diartikan lebih dari itu, karena dalam syair-syair kesenian Didong banyak hal yang dapat dikomunikasikan terhadap masyarakat. Penelitian ini bertujuan untuk mengetahui bagaimana peran dari Didong sebagai media komunikasi masyarakat Gayo, hal-hal apa saja yang dapat dikomunikasikan dari kesenian Didong. Metode penelitian yang digunakan adalah kajian pustaka (library research) melalui tahapan menyiapkan literatur dan mencatat informasi yang yang diperlukan dalam penelitian. Hasil tinjauan kepustakaan yaitu bahwa kesenian Didong dipandang masyarakat Gayo tidak hanya sekedar sebagai hiburan semata, namun sebagai media untuk berkomunikasi, mengandung nilai pendidikan karakter termasuk pelestarian adat dan budaya, nilai moral, nilai Pancasila, dan sebagai sarana menyampaikan kritik, saran maupun masukan terhadap pemerintah.
Pengaruh Persepsi Mahasiswa Tentang Profesi Guru, Efikasi Diri dan Lingkungan Keluarga Terhadap Minat Menjadi Guru
Authors: Sundari Tri , Ningsih Sulistio , Yanti Safridha , Sari Desi Purnama , Tonara Arda
Published: March 2024

Pendidikan memiliki peranan penting dalam investasi jangka panjang kehidupan manusia dan menjadi kunci kesuksesan dimasa depan. Guru merupakan komponen paling penting dalam mencapai tujuan pendidikan. Besarmya minat seseorang menjadi guru dipengaruhi banyak faktor yang mempengaruhi profesionalisme hasil kinerja seorang guru. Rumusan masalah dalam penelitian ini adalah apakah persepsi mahasiswa tentang profesi guru, efikasi diri, lingkungan keluarga berpengaruh terhadap minat menjadi guru.  Penelitian ini bertujuan untuk mengetahui pengaruh persepsi mahasiswa tentang profesi guru, efikasi diri, dan lingkungan keluarga terhadap minat menjadi guru pada mahasiswa pendidikan ekonomi di Universitas Muhammadiyah Mahakarya Aceh.   Populasi dalam penelitian ini adalah 44 mahasiswa jurusan Pendidikan Ekonomi di Universitas Muhammadiyah Mahakarya Aceh. Teknik pengambilan sampel menggunakan total sampling karena populasi penelitian ini kurang dari 100. Teknik analisis data yang digunakan adalah analisis regresi berganda. hasil penelitian menunjukkan bahwa persepsi mahasiswa tentang profesi guru, efikasi diri, dan lingkungan keluarga secara parsial tidak memiliki pengaruh yang signifikan terhadap minat menjadi guru. Sedangkan secara simultan persepsi mahasiswa tentang profesi guru, efikasi guru, dan lingkungan keluarga berpengaruh terhadap variable minat menjadi guru dengan persentase sebesar 81,7%, sedangkan sisanya sebesar 18,3% dapat dideskripsikan oleh variabel lain yang tidak diteliti oleh peneliti.
Implementasi Program Takhassus dalam Meningkatkan Kemampuan Hifẓu Al Qurʼān
Authors: Nazaruddin Nazaruddin
Published: March 2024

Program Takhassus Al-Quran merupakan program unggulan yang ditujukan bagi mahasiswa terpilih berdasarkan kemampuannya membaca Al-Quran dengan benar dan lancar serta dengan mempertimbangkan persetujuan orang tua/wali mahasiswa untuk mengikuti program ini. Program ini dimaksudkan untuk memfokuskan siswa pada tahfizh Al-Quran yang berlangsung selama 6 bulan. Salah satu sekolah yang melaksanakan program Takhassus adalah SMP Islam Ar-Rabwah, Indrapuri, Aceh Besar. Penelitian ini dilakukan untuk mendeskripsikan bagaimana program Takhassus tahfizh Al-Quran di SMPN Islam Ar-Rabwah Indrapuri, Aceh Besar, yang mencakup konsep dan implementasinya. Pendekatan yang digunakan dalam penelitian ini adalah pendekatan kualitatif dengan desain studi kasus. Pengumpulan data dilakukan oleh peneliti sendiri sebagai instrumen kunci. Pengumpulan data dilakukan melalui teknik wawancara, observasi, dan dokumentasi serta dianalisis melalui reduksi data, penyajian data, dan kesimpulan. Hasil penelitian menunjukkan bahwa dalam pelaksanaan program Takhassus tahfizh Al-Quran, SMP Islam Ar-Rabwah melaksanakan kegiatan seperti membuat tes masuk dimana siswa harus mengikuti tes kemampuan membaca Al-Quran sebelum mengikuti program ini dan membuat kesepakatan dengan wali siswa. Program Takhassus tahfizh Al-Quran dilaksanakan dengan menggunakan metode gabungan, seperti metode halaqah, tikrar, muraja'ah, dan sima'i yang dijadwalkan 4 kali sehari di masjid sekolah; Dan evaluasi yang diterapkan untuk program ini adalah evaluasi bacaan, evaluasi setoran harian, evaluasi setoran mingguan, evaluasi setoran bulanan, dan evaluasi setoran bulanan 6.
Al-Fatihah: Mencari Makna Melalui Tanda (Aplikasi Teori Semiotika Charles Morris)
Authors: Maslekhan M. Fahmi Fahreza Al Muzakki
Published: March 2024

Abstrak: Semiotika adalah ilmu  mempelajari “tanda”, baik sistematis tanda dalam struktur kalimat maupun  selain kalimat. Sejauh ini, semiotika kerap digunakan sebagai pisau analisis kebahasaan, termasuk dalam mengalasis stuktur kalimat pada ayat Al-Qur’an. Penelitian ini bertujuan untuk menggali makna surat Al-Fatihah menggunakan teori semiotika Charles Morris dengan metode kualitatif dan sajian data berupa deskriptif-analisis. Data penelitian diperoleh dengan studi kepustakaan, dikumpulkan dari sumber primer yaitu Al-Qur’an dan sumber-sumber sekunder yang memiliki keterkaitan dengan penelitian. Hasil penelitian ini menginformasikan bahwa semiotika Charles Morris memiliki kesesuaian dalam memaknai ayat Al-Qur’an, sebab dalam semiotika Morris ada ilmu cabang semiotika yang harus diterapkan, yaitu; sintaksis, semantik dan pragmatik. Melalui keilmuan tersebut akhirnya ditemukan bahwa surat Al-Fatihah dapat dikategorikan menjadi dua tingkatan, yaitu; Rububiyyah yang tertuang pada ayat 1-4 dan ‘Ubudiyyah yang tertuang pada ayat 5-7. Sedangkan kandungan makna yang dapat ditemukan diantaranya; tauhid, pujian, iman, doa dan sejarah umat terdahulu.
Oficina de formação bioética para a Estratégia Saúde da Família
Authors: Gomes Andreia Patricia , Pereira Sandra de Oliveira , Gonçalves Lucas Lacerda , Maia Polyana Mendes , Pereira Jorge Luiz , Freitas Rodrigo de Barros , Bayão Taciana de Souza , Castro Adriano Simões Barbosa , Siqueira-Batista Rodrigo
Published: March 2024

A formação dos profissionais de saúde segue em discussão há tempos — no Brasil e no mundo —, assim como as mudanças dos paradigmas sanitários e dos modelos de cuidado em saúde. Com a criação do Sistema Único de Saúde e a implantação da Estratégia de Saúde da Família (ESF) como reorganizadores da atenção em saúde, brotam, neste cenário, questões e problemas bioéticos não vividos anteriormente no âmbito da prática de saúde hospitalar. Este artigo apresenta os resultados da realização de uma oficina de formação em bioética com a participação de 130 pessoas (128 profissionais da ESF no município de Viçosa, Minas Gerais, e dois convidados), promovida pela integração da universidade com o serviço de saúde local. Os referenciais utilizados incluíram o pluralismo metodológico, o trabalho em pequenos grupos, a aprendizagem significativa e o uso da arte para a construção das competências em bioética. Os resultados verificados foram otimistas quanto à efetividade da ação, tanto na ótica dos profissionais da ESF quanto dos participantes (facilitadores e docentes envolvidos), promovendo-se uma construção coletiva de saberes para a práxis.
Heard and Seen: Developing Inclusive Activities for Enabling the Voices of Children with Disabilities in Oral Health Research
Authors: Alwadi Maram , AlJameel AlBandary , Baker Sarah , Owens Janine
Published: March 2024

The Convention on the Rights of the Child argues for children’s involvement in research. Oral health research frequently excludes children with disabilities and their voices. This study takes a rights-based approach by devising methods to include disabled children in oral health research. This is an ethnographic study. Methods utilized interviews, guided tours, symbols, drawings, pictures, and games. The selection of method depended on the ability and preference of each child. Using pictures and games as prompts enabled child participation. The guided tour activity facilitated the development of relationships with the children. It also increased their ability to chat informally and appeared to reduce power imbalances compared to formal, structured interviewing. Focus group interviews, symbols, and drawings acted as barriers to children’s participation. Involving children with disabilities in oral health research requires using appropriate methodological designs and innovative, pluralistic methods drawn from different disciplines. This promotes a rights-based approach, which recognizes diversity and aims to reduce the discrimination and disempowerment of children with disabilities.
Antipsychotic Effects of Celecoxib Add-On Haloperidol in Schizophrenia: A Randomized Double-Blind Placebo-Controlled Clinical Trial
Authors: Zarghami Mehran , Dodangi Nasrin , Azari Paria , Khalilian Alireza
Published: March 2024

Background: Previous studies have indicated abnormalities in the immune system, such as central nervous system inflammation and high levels of activating cytokines in the cerebrospinal fluid of schizophrenic patients. Celecoxib, a modulator of proinflammatory cytokines, as an adjunctive therapy add-on risperidone (a well-established atypical antipsychotic) and amisulpiride (a benzamide antipsychotic), had improved these patients significantly. Objectives: A trial was conducted to evaluate the therapeutic effects of celecoxib add-on haloperidol, a classic antipsychotic that has been reported to have an immunomodulatory effect and mainly affects positive psychotic symptoms in schizophrenia. Methods: In a prospective, double-blind study, after a washout period, 49 patients with schizophrenia were randomly assigned to either 15 - 30 mg/day haloperidol plus 400 mg/day of celecoxib or the same dose of haloperidol plus placebo for 5 weeks. Psychopathology was evaluated via the Positive and Negative Symptoms Scale (PANSS). The data were reported as mean ± standard deviation and frequency. An Independent t-test was carried out when comparing the data of these two groups for each week. The proportion comparison was carried out using the chi-square test. In terms of age, gender, marital and educational state, and duration or severity of disease or psychopathology and subtypes of schizophrenia, there were no significant differences. Results: Over 5 weeks, there was significantly greater improvement in the celecoxib group in scores on the total PANSS and on positive symptoms and general psychopathology subscales ([t = 2.89, P = 0.006], [t = 2.37, P = 0.022], and [t = 3.34, P = 0.002] respectively). Conclusions: Celecoxib is an efficient adjuvant agent in the treatment of patients with schizophrenia. Significant superiority of management with a modulator of proinflammatory cytokine, which balances immune responses over haloperidol alone, reconfirms the immune dysfunction and inflammation hypothesis of schizophrenia.
Pengadaan Bazar Sebagai Upaya Meningkatkan Pendapatan Usaha Mikro, Kecil, Menengah (UMKM) Di Desa Sindon
Authors: Lailla Syaharany  , Desi Anggraini  , Anggit Dyah Kusumastuti  , Annisa Indah Mutiasari
Published: March 2024

UMKM are productive businesses owned by individuals and/or individual business entities that meet the criteria for micro businesses as regulated in law. The government supports UMKM with programs as an effort to improve community welfare. The government's efforts to improve community welfare are through the National Economic Recovery (PEN) program supporting UMKM. The Sindon Bazaar is a forum for Sindon Village UMKM which was formed by the Sindon Gemah Abundant KKN Committee Team (SGM). This bazaar was held according to the needs and potential of the community in Sindon Village. The management of the Sindon Bazaar consists of the SGM KKN Committee Team assisted by the youth of the local Dukuh Youth Organization. In the Sindon Bazaar, there are many UMKM selling various foods, drinks and toys for children. The results of the implementation of the bazaar that have been achieved include increasing the income of the UMKM community who participated in the bazaar, where what was usually empty of consumers became busy with consumers and the level of sales increased, as well as helping the people of Sindon Village to innovate and hone their skills as a new business opportunity
Peningkatan Nilai Tambah Produk Ekomomi Kreatif Masyarakat Melalui Pembuatan Olahan Dendeng Kerbau di Desa Tounwawan
Authors: Micael Ririhena  , Braian Moriolkosu  , Maria F. Uniwaly  , Lydia Saraswati  , Stenly Walalayo  , Garance Usmany  , Galfen Salow  , Oktavia Borolla  , Janni G. Kalabory  , Maria N. Rahandekut  , Helga Nahakleki  , Ruth Lewier  , Martafina Kosaplawan
Published: March 2024

Real Work Lecture (KKN) is a compulsory course for undergraduate students in the Study Program Outside the Main Campus (PSDKU) of Pattimura University. Through the KKN program, students are expected to be able to make a new innovation that can improve the community's economy. Based on observations in Tounwawan Village, it is known that Tounwawan Village is one of the villages in Moa District which has hilly areas, has extensive forests and fields. The majority of farmers in this village make buffalo as one of their income. So that the processing of buffalo meat into sweet jerky is one of the priority programs that can provide new innovations for the people of Tounwawan Village. This program aims to improve the economy of the community. The program will be held on July 15, 2023, on Saturday. Furthermore, the processing was attended by Tounwawan villagers together with the Management of Village-Owned Enterprises (BUMDes). Through this program, the community can improve the economy through innovation in processing buffalo meat into sweet jerky.
Edukasi Sosialisasi Mengenai KDRT Dan Dampak Pernikahan Dini Di Kelurahan Pandan Kasturi, Kota Ambon
Authors: Jusuf Leiwakabessy  , Fidyana Fidyana  , Yanti A. Lewerissa  , Ssy J. A. Hehanussa
Published: March 2024

Arly marriage is a marriage carried out by someone who is relatively young. The relatively young age referred to is the age of puberty, namely between 10-19 years of age. One area in Indonesia, namely Pandan Kasturi sub-district, Sirimau District, Ambon City, Maluku Province, has a lot of early marriages. Early marriages that occur are caused by several factors and their impacts, one of which is domestic violence, domestic violence occurs because of selfish feelings between husband and wife, differences of opinion, not wanting to give in between husband and wife, wanting to win alone. and ended with domestic violence. Domestic violence occurs due to the mental and mental immaturity of each partner, so they do not really understand how to resolve the problems that occur in their household, so that the impact that occurs is physical, mental, psychological violence and so on. The aim of the community service implementation activity is to educate the importance of knowledge about domestic violence and early marriage in order to avoid or reduce domestic violence and early marriage in Pandan Kasturi Village.
Penguatan Implementasi Kurikulum Merdeka di SD Swasta As Ad Kota Jambi Melalui Bimtek Model In-On-In
Authors: A A Musyaffa  , Siti Asiah  , Rapiko Rapiko  , Siti Ubaidah  , Umil Muhsinin
Published: March 2024

The implementation of the Independent Curriculum (IKM) rolled out by the government has caused quite a lot of confusion in the school/madrasah environment, especially for teachers. The aim of this community service research is to increase understanding and mastery of IKM for teachers and principals of SD As Ad Jambi City. The method used is an in-on-in learning model with technical guidance (bimtek) which is carried out involving multi-stakeholders. The results of the service are: (1) Bimtek is able to strengthen a number of deadlocks in IKM, so that the stuttering and worries that arise are able to turn into increased understanding and mastery of IKM, KOSP, and MA with a rate of change from 6.7 to 8.7 (2) Bimtek even able to present a solution to improve the quality of education related to the preparation of KOSP and MA, (3) technical guidance shows a significant increase in understanding and mastery of IKM, KOSP and MA, and (4) the implementation of IKM technical guidance turns out to have a positive influence on the performance of the collaborating parties. The recommendation is that the in-on-in model by collaborating with a number of schools/madrasahs, universities (PT), and other institutions is worth continuing to implement to increase understanding and mastery of SMEs, as well as to improve the performance of the parties.
Procedure for Supervision of Apron Movement Control Unit (AMC) for Service Users in Sultan Mahmud Badarudin II International Airport, South Sumatra
Authors: Marsinah Marsinah  , Fitria Marisya  , Hatidah Hatidah
Published: March 2024

This study aims to ascertain how service users are supervised by the Apron Movement Control Unit and how service users are dissipated by the Apron Movement Control Unit at Sultan Mahmud Badarudin II International Airport in South Sumatra. This study employs primary and secondary data in a qualitative manner. Three methods of gathering data were employed: documentation, interviews, and observation. The study's findings support the assertion that the AMC unit oversees all tarmac operational activities related to the discipline of service users, including monitoring the speed of GSE and officer vehicles, regulating passenger and person mobility, supervising the use of equipment that agents are required to use, such as safety vests, supervising engine travel, supervising refuelling, and keeping an eye on the apron area's cleanliness. The AMC unit monitors everyone's movement, including passengers, and imposes discipline on service users on the air side (apron). Ground handling agents who violate the guidelines face disciplinary action from the AMC. The person in question receives a straight reprimand, and if they receive one of these actions three times in a row, their airport pass is cancelled or withheld, making it impossible for them to work on the airside or apron areas.
Pemanfaatan Media Sosial Instagram Sebagai Media Komunikasi, Informasi, Dan Promosi Di UMKM Minuman Herbal Berkah Setia
Authors: Darwati Darwati  , Saputri Aqilla Aura Anggreini , Uliyah Uni Masrochati , Putri Erlina Meidiana , Aktamiati Wulan , Qurniawati Rina Sari
Published: March 2024

The community service activity entitled "Use of social media as a means of communication, information, documentation and promotion in the Blessings of Faith herbal drink business" aims to implement the university's tridharma, namely Community Service. The purpose of this activity is to provide information regarding the use of social media Instagram for small businesses and provide training on the use of Instagram so that its use can later be implemented in marketing activities for the red blessing red ginger business. The method used in this activity is direct observation of the Red Blessings Faithful ginger business by conducting direct interviews and documenting product photos and product manufacture which are then uploaded to Instagram media. The final result of this service is the use of social media Instagram as a medium for communication, information, documentation and means of promoting each product produced and activities discussed by the Ginger Berkah Setia business unit including images and supporting information
Upaya Peningkatan Pengetahuan Terhadap Kasus Osteoarthritis Knee Pada Komunitas Ibu-Ibu Pemberdayaan Kesejahteraan Keluarga (PKK) Di Wilayah Binaan Puskesmas Banyuanyar
Authors: Izdihar Zahra  , Arif Pristianto  , Seliana Sinta Debi
Published: March 2024

Background: Osteoarthritis is a degenerative disorder that occurs in the articular cartilage characterized by reduced synovial joints, the formation of osteophytes, damage to the ligaments and changes in the bones. The cause of osteoarthritis in the area of Puskesmas Banyuanyar is 46% of the population in one card families still have families who smoke and as much as 22% of people do not do physical activity due to the busy and physical condition. Objective: This investigation was carried out in an effort to improve knowledge on the case of osteoarthritis in the area of Puskesmas Banyuanyar. Method: This activity is a form of dissemination using leaflet media. To find out the results of improved understanding researchers conduct evaluations of pre-implementation and post-implementation. Results: Public dedication through this method of dissemination resulted in increased knowledge in the case of osteoarthritis from the average value of knowledge of 4,4% to 97,6%. Conclusion: Based on the results of the implementation of public service activities such as efforts to improve knowledge in case of osteoartritis, there was an increase in knowledge in PKK community
The Role of Utilitarian Value, Hedonic Value, and Emotional Value on Purchase Intention through Shopee Live
Authors: Pratidina Nasution Siti Wardah , Arfah Nasution Siti Ummi
Published: March 2024

This research aims to analyze the role of utilitarian value, hedonic value, and emotional value on purchase intention of Somethinc’s products through Shopee Live. A quantitative approach was used through distributing questionnaires and a sample of 82 respondents was obtained. The validity test using loading factors and Average Variance Extracted (AVE) shows valid values. The reliability test using composite reliability values had met the criteria. The data analysis technique used is SEM-PLS (Partial Least Squares). The hypothesis was tested with SmartPLS 3.0, showing that utilitarian value had a positive and significant effect on purchase intention with a significance value of 0.032, hedonic value had a positive and insignificant effect with a value of 0.066 on purchase intention, and emotional value had a positive and significant effect on purchase intention with a value of 0.001. The influence of utilitarian value, hedonic value and emotional value variables on purchase intention is 65% with an R-square value of 0.648, while 35% is explained by other variables outside this research.
Pemanfaatan Aplikasi Tiktok Sebagai Media Pembelajaran Pidato
Authors: Novia Lisa , Hikmat Ade , Safi”I Imam
Published: March 2024

Media pembelajaran Tiktok ini telah selaras dengan era digital saat ini. Hal itu memunculkan media sosial yang dapat menjadi media pembelajaran karena media sosial sangat menarik perhatian dan dekat dengan generasi milenial yang memang lekat pada dunia digital. Salah satu media sosial yang saat ini sedang digemari yaitu aplikasi Tiktok. Tiktok dapat menjadi media pembelajaran yang menarik dan menyenangkan. Penggunaan aplikasi Tiktok sebagai media pembelajaran diharapkan membantu peserta didik maupun pendidik dalam pembelajaran Tujuan penelitian ini untuk mengetahui efektivitas pemanfaatan aplikasi Tik Tok sebagai media pembelajaran dalam meningkatkan hasil belajar pidato. Model pembelajaran dan media pembelajaran memegang peranan penting dalam keberhasilan pencapaian tujuan pembelajaran yang ditetapkan oleh guru selama proses belajar mengajar, khususnya yang berkaitan dengan keterampilan berbicara. Penelitian ini menggunakan rancangan deskriptif kualitatif. Data primer yang didapat adalah data yang diperoleh melalui aplikasi Tik Tok, khususnya fitur-fitur yang mampu mewadahi pembelajaran pidato. Data sekunder didapat dari data yang diperoleh melalui literatur yang mendukung data primer, seperti artikel, kamus, internet, dan buku-buku yang berkaitan dengan penelitian. Hasil penelitian menunjukkan bahwa pada proses pembelajaran konvensional hasil belajar yang diperoleh peserta didik masih banyak yang mendapatkan nilai di bawah KKM. Namun, penggunaan Tik Tok sebagai media pembelajaran berhasil meningkatkan pencapaian nilai KKM. Oleh karena itu, dapat disimpulkan bahwa pemanfaatan Tik Tok sebagai media pembelajaran dapat meningkatkan hasil belajar dengan mempertimbangkan relevansi materi yang akan disampaikan.
Towards Designing a Privacy-Oriented Architecture for Managing Personal Identifiable Information
Authors: Guzmán-Castillo Adán F. , Suntaxi Gabriela , Flores-Sarango Bryan N. , Flores Denys A.
Published: March 2024

Recent threat reports have warned researchers and security professionals about a shortage of cybersecurity skills to face devastating personal data breaches. As a response, governments have taken on the challenge of proposing specific legislation to protect citizens' privacy while holding information-processing companies accountable for any misuse. However, unauthorized access to such information, or possible negligent destruction of personal records are some issues that cannot be dealt with privacy laws alone. In this research, we introduce the functional requirements to deploy PriVARq, a novel privacy-oriented architecture to proactively manage any consensual submission of personal identifiable information (PII); i.e. during its collection, processing, verification and transference. PriVARq’s main contribution is the balance between legal frameworks and industry-leading security standards to mitigate the former’s shortage of practical solutions to tackle some privacy and security issues when dealing with PII. Consequently, for defining PriVARq’s functional requirements, a privacy-by-design approach is employed which not only considers legislation proposed in Europe and Latin America but also analyzes technical aspects outlined in international security standards. We aim to provide a proactive approach to reduce the shortage of skills and solutions to tackle privacy leakages in public repositories and devise future research venues to implement PriVARq in public and private organizations.
Evaluating the Effectiveness of a Gan Fingerprint Removal Approach in Fooling Deepfake Face Detection
Authors: Alkishri Wasin , Widyarto Dr. Setyawan , H. Yousif Dr. Jabar
Published: March 2024

Deep neural networks are able to generate stunningly realistic images, making it easy to fool both technology and humans into distinguishing real images from fake ones. Generative Adversarial Networks (GANs) play a significant role in these successes (GANs). Various studies have shown that combining features from different domains can produce effective results. However, the challenges lie in detecting these fake images, especially when modifications or removal of GAN components are involved. In this research, we analyse the high-frequency Fourier modes of real and deep network-generated images and show that Images generated by deep networks share an observable, systematic shortcoming when it comes to reproducing their high-frequency features. We illustrate how eliminating the GAN fingerprint in modified pictures' frequency and spatial spectrum might affect deep-fake detection approaches. In-depth review of the latest research on the GAN-Based Artifacts Detection Method. We empirically assess our approach to the CNN detection model using style GAN structures 140k datasets of Real and Fake Faces. Our method has dramatically reduced the detection rate of fake images by 50%. In our study, we found that adversaries are able to remove the fingerprints of GANs, making it difficult to detect the generated images. This result confirms the lack of robustness of current algorithms and the need for further research in this area.
CFS-AE: Correlation-based Feature Selection and Autoencoder for Improved Intrusion Detection System Performance
Authors: Alhassan Seiba , Abdul-Salaam Dr. Gaddafi , Micheal Asante , Missah Yaw Marfo , Ganaa Dr. Ernest D. , Shirazu Alimatu Sadia
Published: March 2024

The major problem computer network users face concerning data – whether in storage, in transit, or being processed - is unauthorized access. This unauthorized access typically leads to the loss of confidentiality, integrity, and availability of data. Consequently, it is essential to implement an accurate Intrusion Detection System (IDS) for every information system. Many researchers have proposed machine learning and deep learning models, such as autoencoders, to enhance existing IDS. However, the accuracy of these models remains a significant research challenge. This paper proposes a Correlation-Based Feature Selection and Autoencoder (CFS-AE) to enhance detection accuracy and reduce the false alarms associated with the current anomaly-based IDS. The first step involves feature selection for the NSL-KDD and CIC-IDS2017 datasets which are used to train and test our model. Subsequently, an autoencoder is employed as a classifier to categorize data traffic into attack and normal categories. The results from our experimental study revealed an accuracy of 94.32% and 97.71% for the NSL-KDD and CIC-IDS2017 datasets, respectively. These results demonstrate improved performance over existing IDS systems.
Improved Elman Deep Learning Model for Intrusion Detection System in Internet of Things
Authors: Parimala G. , Kayalvizhi R.
Published: March 2024

Many researchers have developed intrusion detection systems in the past using conventional techniques such as artificial neural networks, fuzzy clustering, evolutionary algorithms, association rule mining, and support vector machines. However, in terms of false negative rates and detection rates, these methods did not yield the best outcomes. To address these problems, we proposed a hybrid deep learning model (HDLM) based on intrusion detection and prevention in IoT devices. Initially, the data are collected from KDDCup-99 and NSL-KDD datasets. Then, the important features are extracted from the dataset using the Forward Feature Selection Algorithm (FFSA). Finally, the extracted features are given to the HDLM classifier. The proposed HDLM is a combination of Elman Recurrent Neural Network (ERNN) and Subtraction-Average-Based Optimizer (SABO). The performance of the suggested method is assessed using performance metrics including precision, recall, accuracy, sensitivity, specificity, and F_Measure. The experimental results show that the proposed method attained the maximum intrusion detection accuracy of 98.52%.
IoT Structure based Supervisor and Enquired the Greenhouse Parameters
Authors: Hasnawi Abduljaleel Al- , Abdul-Rahaim Laith Ali , Muwafaq Gheni Hassan , Emad Fadel Zahraa
Published: March 2024

The world on the beginning of a new period of regeneration and developing with the increase of Internet and also Internet of Thing (IoT) in the market commercial application. where a new revolution can be made by characterizing its important. The rapprochement of the universal system and the power of sophisticated calculating, sensing with low cost and add create of communication supported by the Internet. In this paper, the green house system is consisting of two sections they are the software and hardware sections. Hardware has three types of sensors for natural environment measuring and gateway (router). Software consists of monitoring and controlling sub system, and IoT cloud, vb.Net software is used to write the programs codes for the proposed system. The environmental parameters of the greenhouse are continuously recorded by various sensors, and the collected data is displayed on a customized website. The system software has the ability to monitor and control the green house environment variables like humidity, temperature and water level on the greenhouse. Thus, the greenhouse can be monitored and controlling from anywhere and at any time. The fundamental aims of this paper have been achieved with the help of all systems parts. The green house environment has been displayed using the IoT cloud and the control is done over the internet connection. The system is implemented in practices. The system result gives an accurate indication that the system is reliable and work completely.
Threat Detection and Response Using AI and NLP in Cybersecurity
Authors: Ismail Dr. Walaa Saber
Published: March 2024

Introduction: In an age of rapid technical innovation and a growing digital world, protecting sensitive data from cyberattacks is crucial. The dynamic and complicated nature of these attacks requires novel cybersecurity solutions. Methods: This study analyses how Artificial Intelligence (AI) and Natural Language Processing (NLP) strengthen cybersecurity. The qualitative research approach is followed to gather data through a literature review of relevant scholarly articles and conduct interviews with cybersecurity specialists. Results: Recent AI advances have greatly enhanced the detection of anomalous patterns and behaviors in huge datasets, a key threat identification tool. NLP has also excelled at detecting malevolent intent in textual data, such as phishing efforts. AI and NLP enable adaptive security policies, enabling agile responses to evolving security issues. Expert interviews confirm that AI and NLP reduce false positives, improve threat intelligence, streamline network security setups, and improve compliance checks. These technologies enable responsive security policies, which give a strategic edge against developing security threats. AI and NLP's predictive skills could revolutionize cybersecurity by preventing threats. Conclusion: This study shows that AI and NLP have improved cybersecurity threat detection, automated incident response, and adaptive security policies. Overcoming threat detection, aggressive attacks and data privacy issues is essential to properly leveraging these advances and strengthening cyber resilience in a changing digital landscape.
Integrating Novel Machine Learning for Big Data Analytics and IoT Technology in Intelligent Database Management Systems
Authors: Clavijo-López Rosa , Navarrete Dr. Wayky Alfredo Luy , Velásquez Dr. Jesús Merino , Saldaña Dr. Carlos Miguel Aguilar , Ocas Alcides Muñoz , Tananta Dr. César Augusto Flores
Published: March 2024

Database Management Systems (DBMS) advancement has been crucial to Information Technology (IT). Traditional DBMS needed help managing large and varied datasets under strict time constraints due to the emergence of Big Data and the widespread use of Internet of Things (IoT) devices. The growing intricacy of data and the need for instantaneous processing presented substantial obstacles. This research suggests a Machine Learning-based Intelligent Database Management Systems (ML-IDMS) technique. This invention combines the skills of Machine Learning with DBMS, improving flexibility and decision-making capacities. The ML-IDMS is specifically developed to tackle current obstacles by providing capabilities such as instantaneous data retrieval, intelligent heat measurement, and effective neural network initialization. The simulation results showcase the effectiveness of ML-IDMS, as shown by impressive metrics such as query execution time (19.27 sec), storage efficiency (83.78%), data accuracy (90%), redundancy reduction (66.42%), network throughput (7.93 Gbps), and end-to-end delay (14.4 ms). The results highlight the efficacy of ML-IDMS in managing various data circumstances. ML-IDMS addresses current obstacles and establishes a standard for future intelligent data management and analytics progress.
CSA-Forecaster: Stacked Model for Forecasting Child Sexual Abuse
Authors: Parthasarathy Saravanan , Lakshminarayanan Arun Raj , Khan A. Abdul Azeez , Sathick K. Javubar
Published: March 2024

Child sexual abuse is a pervasive and distressing issue that poses serious threats to the well-being and development of children. Early identification and prevention of such incidents are crucial for ensuring child safety and protection. In this study, we investigate the application of stacked machine learning models for the forecasting of child sexual abuse cases. Data on child sexual abuse incidents were gathered from StatBank Denmark and used in this analysis. The geographical coordinates of the municipalities were incorporated as part of the descriptive analysis to examine the distribution and prevalence of child abuse cases. Our approach incorporates a stacked ensemble framework that combines the XGBoost, LSTM, and Random Forest algorithms. By leveraging the strength of individual models and capturing diverse patterns in the data, the stacked model aims to improve prediction performance. Our experimental results demonstrate that the CSA-Forecaster model outperforms individual models in forecasting child sexual abuse incidents. The proposed model achieved an RMSE of 0.094, MAE of 0.0712, MAPE of 0.1557, and R2 of 0.8028, indicating robust performance. The outcomes of this research have significant repercussions for the creation of proactive interventions and support systems. Child protection agencies and experts might be equipped to more effectively allocate resources and potentially prevent future abuse instances by employing machine learning models.
A Security Framework for Addressing Privacy Issues in the Zoom Conference System
Authors: Atawneh Samer , Alshammari Ziad , Akhras Mousa AL- , Shawar Bayan Abu
Published: March 2024

The COVID-19 pandemic had a significant impact on many facets of human behavior. Most significantly, it required significant changes to how daily activities were conducted. The majority of individuals were forced to work and communicate from home due to social distancing, which opened the door for more virtual meetings. Since most organizations started allowing their employees to work from home, the majority of online meeting platforms—like Zoom and Microsoft Teams—have become more and more popular. Online meetings were not only used by businesses but also by educational institutes to carry out online learning, hospitals to conduct meetings and certain surgeries, and many other industries. The online meetings are practical and simple to organize, but their information security is not as high as that of conventional meetings. Security and privacy issues resulted from this. The safety of personal information such as names, contacts, and locations, the security of online recordings since sensitive information was discussed in most meetings, the security of data while it was in transit, and the potential for competitors to intercept your business were among the many security issues that were raised. Zoom, as one of the famous online conference systems, faced many global concerns, such as sharing private information with third parties, exposing users to unauthorized bullying calls, and adopting questionable end-to-end encryption processes. Additionally, companies have had virtual meetings hacked, leading to privacy issues since hackers can obtain data illegally. Therefore, this research proposes a security framework to address the privacy issues in the Zoom system by applying a set of governance and technical controls. The governance controls provide a strategic view of how an organization controls its security while implementing the technical controls avoids privacy issues in online conference systems. The proposed framework implements a set of technical controls such as encryption, auditing, authentication, and role-based access control. The results were promising and significantly addressed Zoom's privacy issues.
A Nonredundant SVD-based Precoding Matrix for Blind Channel Estimation in CP-OFDM Systems Over Channels with Memory
Authors: Al-Qadhi Osamah J. , Abdul-Rahaim Laith A.
Published: March 2024

In this paper, we investigate blind channel estimation in cyclic, prefixed orthogonal frequency division multiplexing (OFDM) systems using precoding matrices. Many studies show how the performance of bit error rate (BER) and mean square error of channel estimation are impacted by using a circulant matrix as a precoding matrix. We investigate a new structure for the precoding matrix in which the first row is generated by an exponentially decreasing equation along with the Toeplitz function and deploying singular value decomposition (SVD) to generate the final precoder matrix. This type of SVD-based precoding matrix has been presented and simulated under various circumstances. The resulting precoding matrix is employed in two different OFDM systems to estimate the channel frequency response vector up to scalar ambiguity. The proof of the precoding matrix full rank property is presented, along with other criteria that help with the development of various precoding matrices.
The List
Authors: Kent Katie ,   After Dinner Conversation
Published: March 2024

Is it cheating if your spouse gives you permission? In this work of philosophical short story fiction, Chloe and Nick agree on a list; they each have five famous people that, if the opportunity arises, they can sleep with. It’s Nick’s idea they have a list, however, it’s Chloe who goes to a concert and meets the lead singer that is on our list. At first, she declines the lead singer’s offer, but opts to continue texting. Eventually, and without telling Nick ahead of time, she spends the night with the lead singer. Wracked with guilt, a few weeks later she tells Nick what happens, and he leaves her, insisting that she did, in fact, cheat on him, as she should have know the whole idea of a list was being done in nothing more than good fun and was not, in fact, a hall pass to cheat.
ONLINE-ONLY: From Flintstone Car to Prius: Using Pathways to Teach 21st Century Literacies
Authors: Collier Lorna
Published: March 2024

NCTE’s Web-based curricula help Katherine McKnight and her English-Methods students “emulate the real world”
The 2011 Presidential Address: To Cherish the Interests of Literature
Authors: Jago Carol
Published: March 2024

“Much is made of the economic impact of education,” but Carol Jago says she’s “more concerned about preparing students’ hearts and minds for whatever the future may hold.”
The Year of Traveling Extensively: An Interview with Teacher of the Year Sarah Brown Wessling
Authors: Aronson Deb
Published: March 2024

Since April 2010, when NCTE member Sarah Brown Wessling was chosen as Teacher of the Year, she has traveled throughout the United States, learning from teachers, celebrating them, and speaking on their behalf.
W. S. Merwin Has Used Poet Laureate Post To Speak Out on Environment
Authors: Collopy Trisha
Published: March 2024

An interview with US Poet Laureate W. S. Merwin
Do NCTE’s Early Career Leadership Programs Really Make a Difference?: Ask Shekema Silveri!
Authors: Silveri Shekema
Published: March 2024

Shekema Silveri shares how her experiences as a 2008 recipient of NCTE’s Early Career Educator of Color Award helped her move into a leadership role.
Right Book, Right Reader, Right Time TERI LESESNE: The Woman Who LOVES YA Literature
Authors: Aronson Deb
Published: March 2024

Teri Lesesne: The Woman Who LOVES YA Literature
Evaluating English/Language Arts Teachers: A Policy Research Brief produced by the National Council of Teachers of English
Authors: Squire James R.
Published: March 2024

Research has long acknowledged how important teachers are to student learning, but defining teacher quality isn’t as clear cut. This NCTE Policy Research Brief explores some of the factors that influence how teacher quality is defined and suggests approaches to support policymakers, researchers, and educators in their common pursuit of excellent teaching in our nation’s classrooms.
2011 NCTE Presidential Address: Telling Our Stories
Authors: Siu-Runyan Yvonne
Published: March 2024

This excerpt is from the Presidential Address that 2010-2011 NCTE President Yvonne Siu-Runyan delivered at the NCTE Annual Convention in Chicago in November, 2011.
Reader’s COMMENTARY: Lessons from a Lurker
Authors: Hayes Sandy
Published: March 2024

Sandy Hayes shares three ‘shameful confessions.’
PLC Participation Rewards Teachers, Schools
Authors: Collier Lorna
Published: March 2024

Collaborating to Review Student Work Leverages Teacher Expertise
President’s COMMENTARY: Children, Arts, and Du Bois
Authors: Gilyard Keith
Published: March 2024

Children, the Arts, and W. E. B. Du Bois
Reader’s COMMENTARY: Handlin Our (Unfinished) Bidness
Authors: Smitherman Geneva
Published: March 2024

Handlin Our (Unfinished) Bidness
A Labor of Love: Walter Dean Myers Writes to Encourage Young Adults
Authors: Aronson Deb
Published: March 2024

Walter Dean Myers Writes to Encourage Young Adults
President’s COMMENTARY: High Noon for High-Stakes Testing?
Authors: Gilyard Keith
Published: March 2024

Commentary by 2011-2012 NCTE President Keith Gilyard
Reader’s COMMENTARY: Mentoring: The Gift of Service
Authors: Chin Beverly Ann
Published: March 2024

Commentary by 2012 Distinguished Service Award Recipient Beverly Ann Chin
Presidential Address: Literacy, Rhetoric, Education, Democracy
Authors: Gilyard Keith
Published: March 2024

An Excerpt from Keith Gilyard's Address at the NCTE Annual Convention in Las Vegas, November 18, 2012.
President’s Commentary: Fair Use & the “Thirty-Second Rule”
Authors: Hayes Sandy
Published: March 2024

Sandy Hayes clarifies our Constitutional right to fair use of copyrighted material and highlights the NCTE Position on Best Practices in Fair Use.
President's Commentary: Small Victories, Epic Wins
Authors: Hayes Sandy
Published: March 2024

NCTE 2012-2013 President Sandy Hayes explains some of the influences that have inspired her to include more gaming in her teaching.
Reader’s Commentary: Critical Literacy and Technology
Authors: Vasquez Vivian
Published: March 2024

Vivian Vasquez reflects on the ways new technologies and social media can be used to carry out critical literacy work.
Pushing the Boundaries
Authors: Carter Joyce Locke
Published: March 2024

Joyce Locke Carter Previews the Upcoming 2015 CCCC Annual Convention