bluuebunny/crossref_metadata_2025 huggingface dataset:
APLIKASI VERIFIKASI DATA COSTUMER PT.MANDALA MULTIFINANCE CABANG SIGLI BERBASIS ANDROID
Authors: Wahyuni Yuyun Sri , Qadriah Laila , Achmady Sayed , Fitriyani Fitriyani
Published: August 2023

PT.Mandala Multifinance adalah perusahaan yang bergerak dalam bidang usaha pembiayaan kredit sepeda motor yang berada dikota sigli. Untuk pembiayaan kredit sepeda motor baru, PT.Mandala Multifinance melakukan pengecekan data customer seperti pengecekan status memberi dan tunggakan pembayaran costumer sebelumnya oleh karyawan surveyour lapangan. tujuan untuk merancang sistempercepatan validasi data dari PT.Mandala Multifinance. Perancangan aplikasi ini menggunakan bahasa Flutter pada aplikasi android. Database yang digunakan adalah database MySql yang disimpan pada server online sehingga dapat diakses oleh aplikasi sistem berbasis di Android secara mobile. Proses pertukaran data antara Android dengan database menggunakan REST API sebagai dinding keamanannya yang mempermudah pendistribusian data. Hasil dari pembuatan aplikasi ini yaitu dapat mengecek status informasi konsumen. Dengan adanya Aplikasi Verifikasi Data Costumer PT.Mandala Multifinance Cabang Sigli Berbasis Android ini dapat membantu mempermudah,dalam melakukan verifikasi data untuk melakukan perkreditan. Peneltitian Aplikasi Verifikasi Data Costumer PT.Mandala Multifinance Cabang Sigli Berbasis Android ini dapat membantu dalam melakukan pendataan konsumen untuk melakukan prekreditan. Kata Kunci : Verifikasi Data Konsumen, Berbasis android, PT. Mandala Multifinance.Kata Kunci :  Verifikasi   Data   Konsumen,   Berbasis   android,   PT.   Mandala Multifinance
Efektifitas Model Pembelajaran Tipe Talking Stick pada Materi Hidrokarbon di SMA Negeri Unggul Sigli
Authors: Zakiah Zakiah , Mariati Mariati , Ilyas Ilyas
Published: August 2023

Penelitian ini bertujuan untuk melihat keefektitas pembelajaran dengan menggunakan model pembelajaran tipe talking stick lebih tinggi hasil belajar siswa. Sehingga teknik analisis data mengunakan analisis uji- test akhir dan uji-t. Dari uji- tes akhir distribusi (0,95)(3) = 7,81 karena -106,3 7,81 maka dapat disimpulkan bahwa data distribusi tes akhir berdistribusi normal. Uji-t maka didapat thitung ttabel yaitu 7,65 1,70 maka H0 ditolak dan Ha diterima. Penelitian yang diketahui oleh dua orang pengamat mencapi 86,87% termasuk kategori sangat tinggi, tingginya hasil siswa dilihat melalui tes yang dilakukan. Ketuntasan belajar siswa terhadap materi Hidrokarbon dengan penggunaan model pembelajaran tipe talking stick mencapai 93%. Respon siswa terhadap penggunaan model pembelajaran talking stick mencapai persentase yang tinggi. Dapat disimpulkan bahwa penggunaan model pembelajaran tipe talking stick dapat memacu lebih tinggi keefektifan belajar siswa pada materi Hidrokarbon di SMA Negeri Unggul Sigli. Setiapnya pembelajaran tidak berpusat pada guru saja tetapi harus mengaktifkan siswa dalam belajar maka dari pada itu lebih baik guru saat proses belajar mengajar dapat menerapkan model pembelajaran tipe talking stick untuk mengaktifkan siswa.Kata kunci : Hasil Belajar, Hidrokarbon, Pembelajaran tipe Talking Stick.
MARKET BASKET ANALISIS DATA MINING UNTUK MENGETAHUI POLA PENJUALAN PADA CERRY MART BEUREUNUEUN MENGGUNAKAN ALGORITMA APRIORI
Authors: Fadillah Raihan , Qadriah Laila , Rizal Muhammad
Published: August 2023

Cerry Mart merupakan swalayan yang bergerak dibidang penjualan kebutuhan pokok yang memiliki sistem seperti pada swalayan umumnya. Market basket analisis adalah suatu metodelogi untuk melakukan analisis Buying Habit (kebiasaan) konsumen dengan menemukan asosiasi antar beberapa item yang berbeda, yang diletakkan konsumen dalam Shopping Basket (keranjang belanja) yang dibeli pada suatu transaksi tertentu. Tujuan dari analisis adalah untuk mengetahui produk-produk mana yang mungkin akan dibeli secara bersamaan. Algoritma apriori merupakan algoritma yang digunakan untuk menghasilkan Association Rule, dengan pola “if-then” atau “jika-maka”. market basket analysis merupakan salah satu teknik dari data mining yang mempelajari tentang perilaku kebiasaan konsumen dalam membeli produk secara bersamaan dalam suatu waktu, algoritma ini untuk menghasilkan pola pembelian konsumen yang sering terjadi dan produk yang paling sering dibeli berdasarkan data transaksi pada swalayan cerry mart. Tujuan dari penelitian ini adalah untuk mengetahui pola pembelian produk oleh konsumen pada bulan desember 2021 di swalayan Cerry Mart kota Beureunuen sehingga memberikan kemudahan dalam menentukan strategi bisnis dengan memanfaatkan informasi yang telah diperoleh dari data transaksi yang diolah menggunakan aplikasi data minning yang menggunakan algoritma apriori untuk mengetahui produk yang paling diminati dan pola pembelian konsumen pada swalayan Cerry Mart kota Beureunuen.Kata Kunci : Cerry Mart, Market Basket Analisis, Data mining, Algoritma Apriori, PHP Native.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN AKREDITASI DAYAH DI KABUPATEN PIDIE MENGGUNAKAN METODE ANALYTIC NETWORK PROCESS (ANP) BERBASIS WEB
Authors: Ridha Muhammad , Yuswardi Yuswardi
Published: August 2023

Sistem pendukung keputusan penentuan akreditasi dayah di Kabupaten Pidie menggunakan metode Analytic Network Process (ANP) berbasis web merupakan suatu proses pengambilan kebijakan berdasarkan kriteria dan sub kriteria terhadap setiap alternatif yang tersedia. metode ANP ini dapat mengitung nilai-nilai kriteria yang berkaitan. ANP merupakan suatu metode yang mengakomodasi keterkaitan antar kriteria atau alternatif. Adapun kriteria dalam menentukan akreditasi dayah yaitu, borang, arsip, prosedural, humas dan eligibilitas. Sistem ini dirancang dan dibangun dengan menggunakan bahasa pemrograman PHP. Hasil pengujian menunjukkan bahwa sistem ini dapat menyelesaikan masalah dalam penentuan akreditasi dayah, sehingga dapat membantu dalam melakukan penilaian terhadap agenda akireditasi dayah di Kabupaten Pidie tersebut sehingga mampu melakukan proses penalaran data dengan metode ANP dan proses pemambahan data kriteria, sub kriteria dan mengatur nilai perbandingan secara konsisten. Kata Kunci: Sistem pendukung keputusan, penentuan akreditasi Dayah, Kriteria, Metode Analytic Network Process, WEB.
PERANCANGAN WEBGIS LOKASI POSKO PPKM SKALA MIKRO TINGKAT DESA DI KABUPATEN PIDIE MENGGUNAKAN QUANTUM GIS
Authors: Habibi Muammar , Salat Junaidi
Published: August 2023

Dalam rangka mengendelikan penyebaran covid-19, pemerintah Aceh mengeluarkan Instruksi Gubernur untuk mengendalikan penyebaran COVID-19, yang berisi tentang pemberlakuan pembatasan kegiatan masyarakat berbasis mikro (PPKM) dan meminta agar masyarakat mengoptimalkan posko penanganan di tingkat gampong. Namun, terdapat kendala dalam proses pengawasan dan monitoring pelaksanaan fungsi dari posko PPKM, salah satunya kurangnya informasi mengenai lokasi posko. Tujuan penelitian ini adalah untuk membuat WebGIS lokasi posko PPKM skala mikro tingkat desa di Kabupaten Pidie menggunakan Quantum GIS untuk mempermudah dan mempercepat proses pengawasan dan monitoring serta mempermudah akses informasi mengenai lokasi posko PPKM skala mikro tingkat desa.Kata kunci: WebGIS, Lokasi Posko PPKM Mikro, MySQL, PHP, Quantum GIS
UPAYA MENINGKATKAN HASIL BELAJAR DENGAN PENDEKATAN SAINS TEKNOLOGI MASYARAKAT (STM) PADA KELAS V MIN 8 ACEH BARAT
Authors: Saputra Fedry
Published: August 2023

Keberhasilan dalam proses pembelajaran di sekolah dapat tercapai. Proses pembelajaran akan lebih efektif apabila siswa ikut aktif dalam proses pembelajaran. Tantangan pendidikan pada jenjang Madrasah Ibtidaiyah (MI) dimasa depan disadari akan semakin berat. Hal ini merupakan konsekuensi kemajuan dalam berbagai aspek kehidupan. Perkembangan masyarakat dan ilmu pengetahuan yang semakin maju pesat, menghasilkan inovasi di bidang ekonomi, sosial, budaya dan lingkungan dirasakan lebih pesat dibandingkan dengan inovasi dalam bidang pendidikan.Peningkatan kualitas pendidikan pada saat ini menjadi perhatian. Berdasarkan penerapan pendekatan Sains Teknologi Masyarakat (STM)ndapat meningkatkan hasil belajar siswa pada pembelajaran  di kelas V MIN 08 Aceh Barat dengan adanya hasil uji coba memberikan soal post test dari 20 siswa ada peningkatan secara signifikan.
PENERAPAN METODE JIGSAW UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS XI MIPA1 MATERI TRIGONOMETRI PADA SMAN 1 SAKTI
Authors: Ridha Muhammad
Published: August 2023

Penelitian  ini bertujuan untuk mengetahui peningkatan hasil  belajar siswa kelas XI Mipa1 materi trigonometri pelajaran matematika melalui metode jigsaw pada SMAN 1 Sakti. Metode penelitian yang digunakan adalah penelitian tindakan kelas (PTK) yang terdiri atas 2 siklus. Subyek penelitian adalah siswa kelas XI Mipa1 tahun ajaran 2019/2020 sebanyak 33 orang. Analisis data menggunakan teknik analisis diskriptif  komparatif dengan  membandingkan kondisi awal dengan hasil-hasil yang dicapai pada setiap siklus, dan analisis deskriptif kualitatif hasil observasi dengan membandingkan hasil observasi dan refleksi pada siklus I dan siklus II. Hasil dari penerapan metode Jigsaw pada pembelajaran matematika dapat dilihat dari siklus I siswa dapat meraih kompetensi khususnya dalam penguasaan konsep yang lebih baik sehingga penguasaan konsep rata-rata kelas XI Mipa1 dari  62,42 naik menjadi 76,67. Setelah dilakukan siklus II, ternyata terjadi peningkatan Pada siklus II penerapan metode Jigsaw sudah berkembang, kegairahan belajar  Matematika meningkat, dan penguasaan konsep Trigonometri rata-rata kelasnya untuk kelas XI Mipa1  naik menjadi 76, 67 dan siklus 2  naik menjadi 86,82. Dengan demikian dapat  disimpulkan dengan menggunakan Jigsaw dapat meningkatkan kompetensi belajar Matematika khususnya dalam penguasaan konsep materi Trigonometri untuk siswa kelas XI Mipa1 SMAN 1 SaktiKata Kunci:  Pembelajaran Kooperatif, Metode Pembelajaran Jigsaw, Hasil Belajar
Assessing the Knowledge, Attitude and Practices among Health Workers on Rotavirus Diarrhoea Prevention in Rukiga District
Authors: Davis Ahabwe , Francis Dr. Kazibwe
Published: August 2023

Purpose: Rotavirus has been identified as the most common pathogen associated with severe diarrhoea. Rotavirus infection is the leading cause of diarrhea in children under five and it is highly contagious. It poses an exception to typical diarrheal disease management rules. While improved access to clean water and better sanitation and hygiene practices are vital to preventing most diarrheal diseases, they have done little to disrupt infection. The virus may cause severe, dehydrating diarrhea in young children and, in untreated cases, lead to death. The aim of this study is to determine the knowledge, attitude and practices regarding Rotavirus Prevention and its vaccination among medical workers in Rukiga district

Methodology: A total of 263 health workers were selected through random sampling. A structured and validated questionnaire was used. Questions about knowledge, attitude and practices were collected and verified on scale. Descriptive statistics were presented; multivariable regression analysis was done to determine the correlation of knowledge, attitude level, and practices with socio demographic variables such as age, sex and education. The p value≤0.05 considered was statistically significant.

Findings: 118(47.14%) had adequate knowledge, 164(66.138%) positive attitude and 102(41.1%) appropriate practices on the Rotavirus diarrhoea prevention. Knowledge, attitude level and practices were increased significantly with increasing age, sex and education. After controlling for variables in the multivariable regression model, age, sex and education were the significant factors in determining the scores on knowledge, attitude and practices. About the knowledge. Age (β=4.15, p<0.001), sex (β=3.012, p=0.001) and education level (β=14.04, p<0.038), then attitude, age (β=4.32, p<0.001), sex (β=0.015, p=0.003) and education level (β=0.021, p<0.001) while for practices, age (β=0.021, p<0.001). Similarly, sex (β=0.022, p<0.001), education level (β=0.136, p=0.006). Generally, there was inadequate knowledge, positive attitude and inappropriate practices amongst the respondents on Rotavirus diarrhoea prevention in Rukiga District.

Recommendations: Rukiga District needs to train, mentor and coach the health workers on prevention of Rotavirus including vaccination in order to have increased knowledge level, positive attitude and appropriate actions.
The Influence of Food and Beverage Product Marketing on Consumer Purchase Interest in MSME Actors in Makassar
Authors: Naim Rezky , Sultan Sultan , Rukaiyah ST. , Laan Rahmat
Published: August 2023

The purpose of this study was to examine the effect of food and beverage variables on purchasing preferences. Data collection was carried out by distributing questionnaires to MSME stakeholders in five sub-districtsspread across the city of Makassar. Hypothesis testing here involves the use of multiple regression analysis. The results of this study show that food and beverage variables have a strong effect on purchase intent.Background: Buying interest in consumers is a very important phenomenon in marketing activities. Buying interest is consumer behavior that bases the purchase decision to be made". From the above opinion, it can be said that the buying interest arises from within a consumer after consuming and feeling repository.unimus.ac.id 4 own benefits received when consuming a product. Consumer buying interest can be influenced by product quality. Some of the descriptions above, the author is interested in knowing the relationship between Product Quality and Buying Interest, so the researcher conducted a study entitled Based on the description above, the purpose of this study is to test whether the product has an effect on consumer interest in shopping for MSME Actors.Method: The respondents here are MSMEs in Makassar City. This research method uses purposeful sampling method. The duration of this study was carried out for 3 months due to the time of distribution of questionnaires and the coverage covered by all MSME actors in the city of Makassar. For the evaluation of each statement item using a 5-point Likert scale, where 1 strongly disagrees and 5 strongly agrees. Hypothesis testing is performed using simple linear regression analysis. The formulaof the regression equation is: Y = a +b1X1+eResult: The product has a positive effect on the desire to buy. This can be seen from the significance value smaller than alpha 0.000 (<0.05)which indicates a significant influence. A positive beta value of 0.464means that the influence of the product on customer decisions is positive.That is, the better and more diverse products offered by MSME agents,the more people are interested in making purchases. This can be seenfrom the significance value below alpha 0.000 (<0.05) which indicates the effect of having a positive beta value of 0.345. This means that the effect of price on purchase intention is positive. Conclusion: From the results of research and discussion, several things can be concluded. First, the variety and quality of products offered by small and medium-sized businesses arouses interest and desire to buy from customers andpotential consumers. Second, attractive prices also encourage consumers to buy bamboo products from MSME players.
Analisis Pengaruh Sisa Belanja Modal, Sisa Belanja Non Modal dan Pelampauan Pendapatan Asli Daerah Terhadap Sisa Lebih Perhitungan Anggaran (SiLPA) Pada APBD Kota Payakumbuh
Authors: Rahmawati Rahmawati , Putri Anne
Published: August 2023

Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh sisa belanja modal, sisa belanja non modal dan pelampauan PAD terhadap peningkatan Sisa Lebih Perhitungan Anggaran pada Kota Payakumbuh. Sampel yang digunakan pada penelitian ini adalah laporan keuangan dari dua belas Satuan Perangkat Kerja Derah (SKPD) pada Kota Payakumbuh yang mengelola PAD. Jenis penelitian yang digunakan yaitu analisis kuantitatif dengan metode regresi linear berganda. Hasil penelitian menunjukkan bahwa sisa belanja modal, belanja non modal dan pelampauan pendapatan asli daerah memiliki pengaruh postif signifikan terhadap Sisa Lebih Perhitungan Anggaran (SiLPA).
ANSIEDADE E DEPRESSÃO: SOMATIZAÇÃO DE SINTOMAS NO PROFISSIONAL DE ENFERMAGEM NA PANDEMIA COVID-19
Authors: Dos Santos Morais Gislene , Amorim de Sousa Garcia Ricardo , Guimarães Neto Antônio José , Melo Santos Nailde , Mendes Júnior Abraão Albino , Italiano Alves Benício Sousa Fernanda , Silva Miranda Fernandes Elaine Cristina , Fonseca Coelho Galvão Ana Patrícia
Published: August 2023

Os transtornos de depressão e ansiedade são as doenças psiquiátricas crônicas mais comuns na população mundial, a primeira caracterizada por sintomas como alteração no humor, tristeza profunda, sentimento de inutilidade, desânimo e culpa; e a segunda caracterizada pela angústia, pavor, sensação de perigo iminente e preocupação. Esta pesquisa tem o objetivo de identificar os fatores desencadeadores de ansiedade e depressão nos profissionais de enfermagem, no contexto pós-pandemia COVID-19. Trata-se de um estudo observacional transversal, descritivo, de abordagem quantitativa, como instrumentos foram utilizados um questionário de dados sociodemográficos e o teste A Depression, Anxiety and Stress Scale - Short Form (DASS-21), em profissionais de enfermagem de duas unidades hospitalares públicas na cidade de São Luís, Maranhão. Os resultados evidenciaram ansiedade suave a extremamente severa (42,2%) dos profissionais; 30,8% dos técnicos e todos os auxiliares apresentaram tendência à depressão, se apresentando naqueles sem outro vínculo (38,3%), mais do que naqueles com outros vínculos (10,2%); e a ansiedade se associou apenas com o fato de ter outro vínculo (55%); enquanto o estresse foi mais presente em enfermeiros (14,5%). Conclui-se que o risco de adoecimento mental da equipe de enfermagem no contexto pandêmico, estando expostos aos fatores de risco para o adoecimento mental enquanto combatem diariamente as infecções por coronavírus, sendo necessário um olhar diferenciado para esta categoria.
Evasion in Malaysian Parliamentary Question Time
Authors: Zainal Abidin Najah , Lowe Veronica , Mohd Jan Jariah
Published: August 2023

This study explores evasion employed by Malaysian ministers and deputy ministers during Question Time using Clayman’s Framework of Evasion (2001, 2012). While most evasion studies have focused on political interviews, particularly within western settings, this study examines evasion during Question Time in the Malaysian parliament. The study is content-analytic and uses parliamentary Hansards. Ministers and deputy ministers performed various overt and covert strategies of resistance by refusing to commit to an answer, attacking the questioners, justifying the agenda shifts to counter negative presuppositions and provide rationales, minimizing the divergence to downgrade the severity of a situation, and operating on the question by asserting agreements and talking about the current policy. Further, the questioners did not pursue overtly employed instances of evasion, indicating the influence of context on evasion. Finally, other strategies of evasion found in this study that were not found in Clayman (2001, 2012), such as jokes, could be further explored in future studies.
Uso del software jclic en el aprendizaje matemático en estudiantes del 5to. Grado de primaria. Ie. Nº 5127 mártir josé olaya, ventanilla – callao
Authors: Márquez Horna Miguel Angel , Chauca Vidal Fidel Antonio
Published: August 2023

Esta investigación busca explicar la diferencia que existe entre el grupo de control y el grupo experimental en el post test, al aplicar la estrategia del uso del Software JClic en el aprendizaje matemático en estudiantes del 5to. grado de primaria. IE. Nº 5127 Mártir José Olaya, Ventanilla – Callao. Por la naturaleza de la investigación y las variables de estudio, el diseño de la investigación se enmarca en la investigación de tipo básico, de diseño experimental. El diseño que se realizo es experimental de nivel cuasi experimental.

Se trabajó con dos grupos ya formados, no aleatorios, grupo de control y grupo experimental.

Se aplicó una pre-Test y post-Test (encuestas y cuestionarios) a una muestra de 60 estudiantes, incluidos en los dos grupos de estudio que fueron asignados y consiste en que una vez que se dispone de los dos grupos se evalúa a ambos en la Variable Dependiente, en este caso el Aprendizaje Matemático. Luego solo al grupo experimental se le aplicó la estrategia del uso del software Jclic en el aprendizaje de las matemáticas y el grupo de control siguió con sus tareas cotidianas.

Para la confiabilidad de los instrumentos se aplicó la Validez Estructurada, ya que, a pesar de las limitaciones de la confiabilidad de esta investigación, la metodología de este tipo de investigación se caracteriza por ser descriptiva, la cual consiste en observar los resultados de ambos grupos e identificar las diferencias que existe entre los dos grupos en el post-test al aplicar la estrategia del uso de software Jclic en el aprendizaje matemático.

En la aplicación de los instrumentos, encuestas y cuestionarios, bajo procedimientos secuenciales y estructurados se obtuvo información clara y precisa, que responde al objetivo general, en donde se logra determinar la diferencia que existe entre el grupo de control y el grupo experimental en el post test, al aplicar la estrategia del uso del Software JClic en el aprendizaje matemático en estudiantes del 5to. grado de primaria. IE. Nº 5127 Mártir José Olaya, Ventanilla – Callao, en donde se concluyó que el uso del Software Jclic en el aprendizaje matemático influye significativamente en el aprendizaje matemático en estudiantes del 5to. grado de primaria. IE. Nº 5127 Mártir José Olaya, Ventanilla – Callao.
La técnica del debate y el desarrollo de la expresión oral de los niños del quinto grado de la i.e. nº 3507 Caudivilla - Carabayllo – Lima
Authors: Zubieta Felix Edwin Richer , Carrillo Vasquez Eli Romeo
Published: August 2023

Las técnicas para promover calidad en el área de comunicación pueden ser diversas, sin embargo, en esta investigación científica tenemos como objetivo establecer la relación que existe entre la técnica del debate y el desarrollo de la expresión oral de los alumnos de quinto grado de primaria en la IE N. 3507. Con enfoque cuantitativo, método hipotético deductivo, corte transversal y nivel ordinal utilizamos un diseño correlacional descriptivo y para levantar la información encuesta que tiene validez por tres jurados expertos y confiabilidad por el coeficiente de Crombach. Análisis estadístico descriptivo e inferencial para la prueba de hipótesis mediante el estadígrafo Rho de Spearman demuestran que existe una correlación significativa entre la expresión oral y la técnica del debate en los niños del quinto grado. Esta conclusión se basa en un coeficiente de correlación de 0,581, que es estadísticamente significativo a un nivel de 0,001. Por lo tanto, se rechaza la hipótesis nula de que no existe correlación entre la técnica del debate y la expresión oral. Esto respalda la hipótesis alternativa de que la técnica del debate tiene una relación con el desarrollo de la expresión oral de los niños del quinto grado de la I.E. Nº 3507 Caudivilla – Carabayllo 2022.
Patologia da hanseníase e a importância do diagnóstico histopatológico
Authors: Soares Cleverson Teixeira , Souza Vânia Nieto Brito de
Published: August 2023

A revista Hansenologia Internationalis tem a honra de entrevistar o Dr. Cleverson Teixeira Soares, médico patologista, responsável pelo Laboratório de Anatomia Patológica do Instituto Lauro de Souza Lima, Bauru, São Paulo, Brasil. Dr. Cleverson é autor do livro Histopathological Diagnosis of Leprosy, publicado em 2021 pela editora Bentham Books, além de relevante publicação de artigos, em periódicos científicos nacionais e internacionais, com impacto nas áreas de patologia e hansenologia. Ele descreve sobre sua trajetória profissional, os desafios para o entendimento da hanseníase em suas múltiplas formas clínicas e como a patologia clássica e molecular tem contribuído para a construção do conhecimento sobre esta doença tão complexa.
Forecasting Stock Market Indices Using Gated Recurrent Unit (GRU) Based Ensemble Models: LSTM-GRU
Authors: Tripathy Nrusingha , Parida Surabi , Nayak Subrat Kumar
Published: August 2023

A "time sequence analysis" is a particular method for looking at a group of data points gathered over a long period of time. Instead of merely randomly or infrequently, time series analyzers gather information from data points over a predetermined length of time at scheduled times. But this kind of research requires more than just accumulating data over time. Data in time series may be analyzed to illustrate how variables change over time, which makes them different from other types of data. To put it another way, time is a crucial element since it demonstrates how the data changes over the period of the information and the outcomes. It offers a predetermined architecture of data dependencies as well as an extra data source. Time Series forecasting is a crucial field in deep learning because many forecasting issues have a temporal component. A time series is a collection of observations that are made sequentially across time. In this study, we examine distinct machine learning, deep learning and ensemble model algorithms to predict Nike stock price. We are going to use the Nike stock price data from January 2006 to January 2018 and make predictions accordingly. The outcome demonstrates that the hybrid LSTM-GRU model outperformed the other models in terms of performance.
Analysis of Mental Health Problems Among Higher Education Students using Machine Learning
Authors: Satapathy Ankita , Pattnaik Saumendra , Biradar Sangappa Ramachandra , Kumar Saurav
Published: August 2023

Currently, mental health concerns pose a significant issue in Odisha. Generally, mental health problems affect a person's thoughts, feelings, actions, and communication. As per the 2017 National Health and Morbidity Survey (NHMS), one in five individuals in Odisha suffer from depression, two have anxiety, and one out of ten experiences stress. Additionally, students in higher education are at an elevated risk of developing mental health problems. However, helping a person with mental health concerns can be challenging due to difficulties in identifying the root causes of their condition. The main objectives of this study are to: 1. Explore mental health issues among higher education students. 2. Investigate the factors that contribute to these issues. 3. Assess the effectiveness of machine learning techniques in analyzing and predicting mental health problems among higher education students. Using computational modeling, this paper's findings will contribute to the ongoing discussion on mental health concerns in future research.
Comparison Between Medical and Surgical Intensive Care Unit-A Ten-Year Review of The Management of Patients in A Resource-Poor Setting in The Niger-Delta Region of Nigeria.
Authors: Abhulimen Victor , Ayanate Oruobu-Nwogu
Published: August 2023

Purpose: To compare the outcome of patients admitted to the ICU with Medical diagnoses against those with Surgical diagnoses.

Methodology: This is a ten-year retrospective study conducted at the University of Port Harcourt Teaching Hospital. Ethical approval for the study was sought and gotten from the hospital’s ethical committee. The information gotten includes history, age, sex, diagnosis, length of admission, and outcome. The data collected was analyzed and presented in tables and charts.

Findings: Three-quarters of the patients admitted to the ICU had surgical diagnoses. More patients with Medical diagnoses (102,19.7%) were discharged from the ICU compared to patients with surgical diagnoses (78,5%). More patients with Surgical diagnosis (919, 52.9%) were transferred out compared to patients with Medical diagnosis (140,27.1%). Patients admitted with medical diagnosis tend to be older and paid more and stayed longer in the ICU compared to patients with surgical diagnosis and this was statistically significant. Three-quarters of the patients admitted to the ICU have surgical diagnoses. More patients with medical diagnoses died in the ICU. Patients with medical diagnoses were older, stayed longer, and paid more for their ICU admission than surgical patients.

Unique contribution to theory, policy and practice:  More patients with medical diagnoses died in the ICU. Hence the need for proper management of common medical ailments.
Crop Yield Prediction Data Analytics in Indian Agriculture Using Deep Learning
Authors: Jothilakshmi T. , Mohanabharathi R. , Tamilselvi R.
Published: August 2023

India is a nation where agriculture and industries associated with it are the main sources of income for the populace. The country's economy primarily depends on agriculture. It is also one of the nations that experience severe natural disasters like floods or droughts, which ruin the crops. The current system uses regression approaches to estimate yield, such as Kernel Ridge, Lasso, and ENet algorithms, and it also employs the idea of stacking regression to improve the algorithms' performance. Utilise technology like data analytics and machine learning to analyse and mine this agricultural data to produce results that will be valuable to farmers for more productive and efficient crop yields. We suggest creating efficient methods to forecast agricultural yield under various climatic situations, which can assist farmers and other stakeholders in making knowledgeable decisions regarding agronomy and crop selection. The DNN algorithm, Multilayer Perceptrons (MLP), was employed. Additionally, the DL (Deep Learning) model's time and space complexity will increase with the addition of new characteristics that have minimal impact on the model's performance. The findings show that compared to the current classification technique, an ensemble technique provides more accurate prediction.
A Hybrid LSTM and MLP Scheme for COVID-19 Prediction: A Case Study in Thailand
Authors: Kompunt Peerapol , Yongjoh Suparat , Aimtongkham Phet , Muneesawang Paisarn , Faksri Kiatchai , So-In Chakchai
Published: August 2023

After the COVID-19 epidemic, Thailand was affected in a variety of ways, with the most obvious being the economic downturn and the huge impact on health, including the loss of medical and human resources to combat the epidemic. However, Thailand still lacks analysis and prediction tools required to prepare for future epidemic situations. Therefore, we present development models for predicting the spread of the COVID-19 epidemic. In particular, the application of a long short-term memory (LSTM) and multilayer perceptron (MLP) model was investigated to predict new cases, total cases, new deaths, and total deaths. There are a total of 77 provinces in Thailand. The data used in this trial were obtained from the Department of Disease Control (DDC) of the Thai government. The modeling employed 2 types of data: dynamic (time series) and static. There were 2 phases: 1) the LSTM was used to manipulate time series data and 2) the MLP model was used to manipulate static data. Then, the models were merged for further analysis. We evaluated the performance of the combined model, yielding an accuracy of 99.72 % based on R2 values, higher than the values obtained for state-of-the-art methods. In addition, the prediction results can be further combined with GIS data in each province and displayed via an easy-to-use web application for mapping.
HIGHLIGHTS

A new architecture that can be used as a tool to predict the COVID-19 epidemic situation is proposed
Deep learning is applied to create predictive models with LSTM for time series data and MLPs for static data
A tool used for displaying predictions using a web application in the form of a map of each province in Thailand is developed to show the prediction results in detail

GRAPHICAL ABSTRACT
The Impact of Artificial Intelligence on Healthcare: Perspectives and Approaches for Latin America and the Caribbean
Authors:   CLIAS, Saban Martin , Esteban Santiago ,   CLIAS, Rubinstein Adolfo ,   CLIAS, Cejas Cintia ,   CLIAS, Perez-Acuna Katherine ,   CLIAS
Published: August 2023

This technical document, produced by the Center for Implementation and Innovation in Health Policies (CIIPS) of the Institute forof Clinical and Health Effectiveness (IECS), focuses on the impact of Artificial Intelligence (AI) on healthcare in Latin America and the Caribbean (LAC). It provides an exploratory analysis of the current state of AI implementation in the region, identifying challenges and opportunities. The document highlights the heterogeneity and fragmentation of AI projects in LAC, mainly concentrated at the meso and micro-management levels. Absence of AI governance, regulations, and electronic health records are among the major barriers faced. However, there is growing interest and investment in AI by healthcare providers and technology companies, suggesting potential for future development. The importance of AI education for healthcare professionals, research to drive innovation, and the collaborative role of tools like ChatGPT in supporting the healthcare system are discussed. Overall, the document concludes that AI in healthcare in LAC is in an early stage of maturity, with ample opportunities for improvement through collaboration and the adoption of policies and regulations to facilitate integration and sustainable development in the region.
Autonomous technologies for daily personal mobilities
Authors:   Department of Geography and Environmental Studies, University of Haifa, Haifa 3498838, Israel, Kellerman Aharon
Published: August 2023

This article attempts to point to emerging future trends for personal mobilities, focusing on the current and upcoming uses of autonomous technologies for both physical and virtual mobilities. These uses will be based on electricity and the Internet, which also constitute mobility modes. The article presents first each of the four emerging mobility technologies: electric vehicles (EVs), mobile Internet, autonomous vehicles (AVs), and artificial intelligence (AI) via chatbots. This is followed by a discussion of habit changes in the adoption of the four new mobility technologies. The article then moves to discussions of individual, societal, and spatial implications of the two mobility autonomous technologies of AV and AI. For individuals, autonomous physical and virtual mobilities will both be typified by rather restricted roles and activities by users, such as passengers and text users respectively. At the social level autonomous mobility will have a major impact on education, both generally, requiring students to analyze texts rather than to author them, and professionally, with growing needs for computer experts rather than traditional garage workers. It is too early to assess some possible spatial impacts of chatbots, but AVs will imply several spatial implications, notably regarding the structure of urban streets and parking facilities.
paz es una decisión individual que requiere compromiso comunitario
Authors: De los Ríos Uriarte María Elizabeth
Published: August 2023

El artículo presenta el concepto de paz a partir de su opuesto, la violencia, y brinda acercamientos a este fenómeno que permiten entender el papel que juegan las acciones que se van realizando a favor de la paz tanto en el terreno de lo individual como en el de lo comunitario y compartido. Se hace especial énfasis en que ésta no es un momento ni un triunfo permanente sino, por el contrario, dinámica y, por esto, exige la decisión constante y reiterada de construirla, tanto por parte de las víctimas como de los victimarios. También resalta la interconexión necesaria que existe entre la paz y otros derechos humanos como la justicia, la verdad y la libertad por lo que conviene analizar las causas más profundas que han lastimado a personas y comunidades pues sólo así se pueden liberar y sanar procesos históricos prolongados en el tiempo.
Factores predictores para la función retardada del injerto renal: estudio retrospectivo
Authors: Ornelas-Aguirre José Manuel , Jiménez-Rodríguez Martha Jeanneth , Arias-Constantino Juan Manuel , Gurrola-Castillo Armando , Ochoa-Parra Karla Adriana
Published: August 2023

Objective: To know the frequency and factors associated with delayed graft function (DGF) in a tertiary care center in northwestern Mexico.
Methods: Retrospectively, transplanted patients from 2011 to 2017 and their association to DGF were reviewed. The DGF was defined as a case that required dialysis within the first post-transplant week. For the analysis of the variables involved in DGF, logistic regression was used.
Results: Delayed graft function occurred in 11% (CI 95%, 7 to 15) of 199 transplants studied. The risk factors associated with DGF included: combined renal replacement therapy (OR: 3.50; CI 95%: 1.39 to 8.78; p=0.005), cadaveric donor (OR: 8.06; CI 95%: 1.82 to 35.53; p=0.001), cardiovascular disease (OR: 4.32; CI 95%: 0.74 to 25.12; p=0.07), and acute rejection (OR: 2.78; CI 95%: 0.98 to 7.90; p=0.04). The multivariate analysis demonstrated combined renal replacement therapy (OR: 3.34; p=0.01) and cadaveric donor (OR: 8.02; p=0.007) as independent risk factors for DGF (OR: 8.02; p=0.007).
Conclusions: The factors associated with DGF observed in the present study are related to the kidney recipient and the donor. Further prognostic studies that permit the discovery of the influence that diverse known factors have in the development of DGF and the prognosis for the transplanted organ are required.
Ectopic spleen in testicular parenchyma: case report
Authors: Vengjer Alessandro , Sementilli Angelo , Oliveira-dos-Santos Fernando , Francis-Delgado-dos-Santos Giulia , De-Abreu-Gomes Ana Carolina , Ribeiro-Nader Guilherme
Published: August 2023

Clinical case description: This report presents the case of a 32-year-old man with palpable solid nodule in the left testicle with a diagnostic hypothesis of testicular cancer, which turned out to be splenic tissue through pathological anatomy analysis.
Relevance: The splenogonadal fusion is a rare and benign congenital anomaly related to the presence of ectopic spleen tissue in the gonadal parenchyma, caused by fusion between these two tissues during the fifth or sixth week of embryonic development. This condition is of great importance because its diagnosis is difficult and often confused with other gonadal disorders such as testicular neoplasm.
Clinical implications: The most common consequence of this testicular disorder is the unnecessary orchiectomy, in which a variety of cases are submitted. To avoid testicle removal, intraoperative pathological examination can be used in these cases.
Conclusions: The ectopic spleen in testicular parenchyma is a rare condition and its diagnosis is difficult. It is important to consider this condition as a differential diagnosis in testicular disorders, especially in the case of diagnostic hypothesis of testicular cancer, so that testicle removal can be prevented by the use of intraoperative pathological exam.
Fístulas urinarias complejas en niños: reparación mediante interposición de músculo gracillis
Authors: Gómez-Sánchez Alicia , Cabezalí-Barbacho Daniel , Tordable-Ojeda Cristina Pilar , Herrero-López Lara , Gómez-Fraile Andrés
Published: August 2023

Case description: Two complex urinary fistulas were repaired in two pediatric patients using gracilis muscle flap interposition. A 12 year-old girl with cloacal exstrophy and urethral fistula secondary to a cervicourethral disconnection, and a 12 year-old boy with previous vesicoprostatic rhabdomyosarcoma and rectourethral fistula.
Relevance: Gracilis muscle flap interposition is frequently used in adults to repair urinary fistulas, with a success of 70-90%. In pediatric patients, there is limited literature reporting results of this technique.
Clinical implications: We consider that the use of gracilis muscle flap to repair urinary fistulas in children is feasible, being a safe technique with good short-term results.
Conclusions: Gracilis muscle flap interposition should be considered as a surgical option in the treatment of complex urinary fistulas in children.
Identidade, diferença e poder: narrativas escolares sobre estudantes de “sucesso ou insucesso”
Authors: Pieczkowski Tania Mara Zancanaro Pieczkowski , Weber Ivanete Maria
Published: August 2023

Investigar a educação escolar de crianças de anos iniciais, matriculadas em escolas públicas, em tempos em que vislumbramos ora defesas, ora críticas às instituições educacionais contemporâneas é refletir as novas formas de ensinar e aprender em uma sociedade desigual. O estudo objetiva compreender como os professores de anos iniciais do Ensino Fundamental, atuantes em escola pública, concebem e narram os estudantes considerados exemplos de sucesso ou de insucesso. A investigação, numa perspectiva pós-estruturalista, adotou entrevistas narrativas, direcionadas a docentes de anos iniciais, gravadas, transcritas e examinadas pela perspectiva da análise do discurso, com referenciais foucaultianos. As reflexões propiciadas por Foucault e seus seguidores compõem a fundamentação teórica, evidenciando noções como subjetivação e poder. O estudo permite concluir que os professores, frequentemente, adotam estereótipos ao caracterizar o que consideram estudantes de sucesso ou de insucesso. Os discursos legais, midiáticos, educacionais, pedagógicos, enaltecem a escola inclusiva e a educação para todos. Mas, as narrativas evidenciam a crença de que o trabalho docente é exitoso, predominantemente, quando a criança segue as normas escolares e a família é “estruturada” e presente na escola, desconsiderando as desigualdades sociais e os desafios da sociedade/família contemporânea. A diferença na escola causa estranhamentos docentes, uma vez que a expectativa predominantemente é da identidade, a partir de tempos e espaços iguais para todos, e currículos padronizados.
A rede de políticas do grupo aliança no Brasil e a incorporação do modelo de “seleção técnica” do setor privado em gestões educacionais brasileiras
Authors: Abreu Vicente Magda de , Valério Porto Marisel , Trentin Demiranda Felipe
Published: August 2023

Este texto tem por objetivo analisar a atuação e expansão do grupo Aliança para Lideranças de Impacto no Setor Público e no Terceiro Setor no Brasil, a partir do entrelaçamento de atores institucionais que configuram sua rede de políticas e dos processos de pré-seleção técnica para gestores educacionais das Secretarias Estaduais de Educação de diversos estados brasileiros. Para tanto, são apresentadas as instituições/fundações que iniciaram o grupo Aliança, bem como sua reconfiguração quando o mesmo passa a se denominar Vamos. Também apresentamos as parcerias em torno do grupo e dados sobre as pré-seleções que são realizadas. O estudo conta com a análise dos documentos, materiais e redes de políticas e utiliza o suporte teórico analítico de Evangelista e Shiroma (2019, 2014), Harvey (2011), Robertson; Verger (2012), Clarke e Newman (2012), Ball (2020), dentre outros. Após o mapeamento da rede e sua respectiva análise, conclui-se que a composição gradativa e estratégica das parcerias em torno da Aliança opera reforçando a própria expansão da rede, de modo a promover a lógica do setor privado nos espaços públicos. Essa lógica impulsiona um modelo gerencialista de pré-seleção técnica nos estados que, inicialmente, é protagonizado pela Aliança e, posteriormente, passa a ser realizado pelos próprios governos estaduais, à medida em que esses são “capacitados” pelo grupo e incorporam sua lógica de gestão.
Developing a Conceptual Model for How Occupational Therapists Can Address “Wicked Problems”: A Critical Review
Authors: McDougall Maggie , Brooks Raven , Duncan Andrea
Published: August 2023

Importance: Wicked problems are those that are messy and complex and have no obvious solution. Occupational therapists and their clients encounter wicked problems in all areas of practice, and therefore it is essential that they know how to address them.

Objective: To identify the key constructs involved in addressing wicked problems, discover considerations for occupational therapists, and develop a conceptual model that supports how to address these problems.

Design: This study had a critical review design and focused on literature from sectors such as health care, social services, policy, business, management, and leadership. It followed a traditional critical review process and extracted records from Scopus, CINAHL and Ovid databases.

Results: A total of 36 articles were included in the review. The results indicated that, to address wicked problems, one must first identify the problem as wicked. The key constructs identified in the literature include collaboration, leadership, perspectives, and innovation, with collaboration and leadership as the most prominent constructs. Subthemes include interdisciplinary teams and diverse perspectives, visualizing interdependencies, team communication, leadership style, leadership communication, and shared vision.

Conclusions and Relevance: The key constructs identified in this review are interconnected and imperative when addressing wicked problems as depicted in the new Addressing Wicked Problems conceptual model. Occupational therapists are well suited to extend between the traditional role and be key stakeholders in addressing wicked problems by using their leadership and collaboration skills and attitudes.

What This Article Adds: Collaboration, leadership, perspective, and innovation are the key constructs for addressing wicked problems. The Addressing Wicked Problems conceptual model highlights the interconnectedness of these constructs.
Examining Patient Outcomes at a Faculty-Led Clinic for Uninsured and Underserved Clients
Authors: Fan Chia-Wei , Drumheller Kathryn , Rodriguez Milly
Published: August 2023

Importance: Routine measurements used in clinical settings can foster evidence-based interventions and show the treatment effectiveness.

Objective: To examine the efficacy of occupational therapy services for health outcomes, as determined by modified self-care and mobility items of the Continuity Assessment Record and Evaluation Tool, also known as Section GG.

Design: Retrospective and longitudinal. Data were obtained from medical records at four time points over 1 yr.

Setting: The study took place at a pro bono, faculty-led clinic.

Participants: Ninety-one client charts were reviewed; 64 (70%) clients met the inclusion criteria and were enrolled.

Interventions: Interventions were provided by registered occupational therapists and entry-level occupational therapy students under supervision.

Outcomes and Measures: Self-care and mobility function were measured using modified GG0130 and GG0170 items from the Centers for Medicare & Medicaid Services Quality Reporting Program; three additional functional items were added. The 36-Item Short Form Health Survey, Version 2® (SF–36v2) was used to evaluate clients’ quality of life at intake.

Results: Self-care and mobility composites significantly improved throughout the 1-yr intervention period. The additional functional composite significantly improved during the first 6 mo. Clients’ scores on the physical function subdomain of the SF–36v2 were significantly related to their self-care, mobility, and additional functional items.

Conclusions and Relevance: Faculty-led clinics can improve the occupational performance of clients in need of occupational therapy services, particularly in the areas of self-care and mobility, which have previously been identified as top priorities for clients.

What This Article Adds: This study addressed health disparities in unique and effective ways. By using objective measures of functional mobility and self-care, the study provides robust evidence of the faculty-led clinic’s impact in providing underserved and uninsured communities with effective client-centered occupational therapy services.