bluuebunny/crossref_metadata_2025 huggingface dataset:
Tantangan Terhadap Implementasi Kualitas Layanan Prima dalam Memenuhi Kebutuhan Informasi Pemustaka Studi Kasus: Perpustakaan Universitas Potensi Utama
Authors: Rahman Idzhari , Hermawan Nanang , Adam Aisyah Azhar , Syamanta Arbana , Wahyuni Linda
Published: August 2024

Tentu layanan prima ini yang bisa membuat kita merasa sangat nyaman. Pelayanan yang prima bukan hanya berhubungan dengan fisik saja, akan tetapi ada faktor lainnya yang ikut memengaruhinya. Layanan prima tersebut seperti berbentuk abstrak yaitu bisa dirasakan, akan tetapi sulit untuk dilihat ataupun dibuktikan. Layanan prima memang tak terlepas dari kepuasan pelanggan atau customer satisfaction. Jika pelanggan puas, maka ia akan datang dan datang lagi ke perpustakaan. Hal ini sangat berdampak positif dalam meningkatkan kunjungan pemakai ke perpustakaan. Pada penelitian ini, peneliti menggunakan metode yaitu penelitian secara kualitatif, penelitian lapangan merupakan field research yang mempunyai ciri penelitian kulitatif. Peneliti dengan mengumpulkan informasi dilapangan mengenai Tantangan terhadap Implementasi Kualitas Layanan Prima dalam Memenuhi Kebutuhan Informasi Pemustaka Studi Kasus: Perpustakaan Universitas Potensi Utama. Perpustakaan Universitas Potensi Utama telah melakukan pelatihan tenaga pustakawan dalam bidang layanan, komputer, studi banding ke berbagai perpustakaan yang lebih maju, dan mengikuti magang di bidang ilmu perpustakaan serta teknologi informasi dan komunikasi di perpustakaan yang telah maju.
PENGARUH MEDIA PERMAINAN ULAR TANGGA TERHADAP MINAT DAN HASIL BELAJAR SISWA PADA MATERI OPERASI BILANGAN BULAT
Authors: Ardiawan Yadi , Karmila Risda
Published: August 2024

Tujuan dari penelitian ini adalah untuk mengetahui (1) pengaruh positif yang signifikan  dari  media permaianan ular tangga terhadap minat belajar; (2) pengaruh  positif yang signifikan dari  media permaianan ular tangga terhadap hasil belajar; (3) hubungan yang signifikan antara minat belajar siswa terhadap hasil belajar pada siswa kelas VII SMP Negeri 16 Pontianak. Metode penelitian yang digunakan dalam penelitian ini adalah  metode penelitian eksperimen dengan paradigma penelitian yaitu paradigma ganda dengan dua variabel dependen.  Bentuk penelitian Pre-eksperimental desaign. Rancangan penelitian Pre-Eksperimental Design adalah One Group Pretest-Posttes design. Populasi dalam penelitian ini adalah seluruh siswa kelas VII SMP Negeri 16 Pontianak yang terdiri dari sepuluh kelas yaitu kelas VII A sampai dengan kelas VII J. Sampel penelitian ini adalah kelas VII B. Kesimpulan dalam penelitian ini bahwa 1) Terdapat pengaruh positif yang signifikan dari media permainan ular tangga terhadap minat belajar siswa kelas VII SMP Ngeri 16 Pontianak. Pengaruh itu dapat dilihat setelah dilakukan pengujian dengan menggunakan uji-t dengan atau > maka Ha diterima. 2) Terdapat pengaruh positif yang signifikan dari media permainan ular tangga terhadap hasil belajar siswa kelas VII SMP Ngeri 16 Pontianak. Pengaruh itu dapat dilihat setelah dilakukan pengujian dengan menggunakan uji-t dengan atau  >  maka Ho ditolak Ha diterima. 3). Terdapat hubungan yang signifikan antara minat dan hasil belajar di kelas VII SMP Negeri 16 Pontianak dengan  dan uji signifikansi yaitu 9,07.
PEMBELAJARAN MATEMATIKA MENYENANGKAN DALAM MENINGKATKAN KEMAMPUAN LITERASI DAN NUMERASI DI SDN 05 ANTAN RAYAN
Authors: Atrensius Tiko Brian Febrianto , Dara Sister Hilaria Enza , Andut Andika , Ritawati Bernadeta
Published: August 2024

Literasi dan numerasi merupakan kemampuan dasar yang snagat penting bagi setiap peserta didik yang dapat berguna untuk kehidupan sehari-hari. Berdasarkan hasil penelitian, diketahui bahwa kompetensi literasi dan numerasi peserta didik di indonesia masih sangat rendah. Oleh karena itu, kemendikbudristek (kementrian pendidikan, kebudayaan, riset, dan teknologi) melalui kebijakan merdeka belajar kampus merdeka (MBKM) menciptakan sebuah program yaitu kampus mengajar, yang mengajar mahasiswa untuk berkontribusi dalam upaya meningkatkan pembelajaran literasi dan numerasi peserta didik di indonesia, khususnya untuk peserta didik jenjang sekolah dasar, sekolah menengah pertama dan sekolah menengah kejuruan. Mahasiswa kampus mengajar ditugaskan langsung untuk terjun ke sekolah-sekolah yang ada didomisili mereka masing-masing yang kemampuan literasi dan numerasi nya masih rendah menurut data dari dinas pendidikan setempat untuk membantu sekolah, menjadi mitra guru dan berkolaborasi dengan guru-guru disekolah penugasan dan membantu peserta didik sesuai dengan kondisi sekolah dan kebutuhan peserta didik. Selain itu, mahasiswa kampus mengajar juga membimbing siswa kelas 5(lima) dalam melaksanakan AKM siswa untuk mengukur sejauh mana kemampuan literasi dan numerasi peserta didik. Tujuan dari kampus mengajar ini adalah agar mahasiswa dapat berkolaborasi dengan guru-guru di sekolah penugasan, mahasiswa dapat belajar diluar lingkungan kampus dan terjun langsung melihat kondisi di sekolah dan membantu peserta didik dalam meningkatkan literasi dan numerasi serta adaptasi teknologi. (Hikami et al., 2023)
IMPLEMENTASI METODE DRILL DALAM PEMBELAJARAN MUFRODAT MELALUI GOOGLE CLASSROOM PADA SISWA KELAS X IPS 1 MAN 2 KAPUA HULU
Authors: SARI YULI SINTA , Amin Faizal
Published: August 2024

ABSTRAK
                   YULI SINTA SARI, 2022. Implementasi Metode Drill Dalam Pembelajarani Mufrodat Melalui Google Classroom Pada Siswa Kelas X IPS 1 MAN. 2 Kapuas Hulu. Skripsi. Program Studi Pendidikan Bahasa Arab Fakultas Tarbiyah Ilmu Keguruan Institut Agama Islam Negeri (IAIN) Pontianak
                   Tujuan penelitian ini adalah: 1) untuk mengetahui bagaimana implementasi metode driil dalam pembelajaran bahasa arab menggunakan media google classroom di MAN 2 Kapuas Hulu. 2) kemudian diberikan informasi mengenai teknik driil, dasar-dasar belajar bahasa arab, cara menggunakan materi mufrodat yang benar, dan cara menggunakan google classroom untuk pembelajaran bahasa arab.
                    jenis peneliti ini adalah menggunakan penelitian deskriptif kualitatif dengan teknik pengumpulan data melalui observasi, wawancara dan dokumentasi. kemudian dilakukan dengan tiga langkah yaitu reduksi, penyajian data, dan penarikan kesimpulan. tujuan dari peneliti ini adalah untuk mengetahui bagaimana implementasi metode driil dalam pembelajaran bahasa arab menggunakan media Google Clasroom di MAN 2 Kapuas Hulu. penggunaan Google classroom  dalam pembelajaran bahasa arab, metode latihan, dan dasar-dasar pengajaran bahasa arab kemudian dibahas.
                   Hasil penelitian ini menunjukkan bahwa pembelajaran bahasa Arab di MAN 2 Kapuas Hulu berjalan dengan baik, dengan adanya tiga tahapan yang berbeda yaitu persiapan, pelaksanaa, dan evaluasi. guru kemudian memanfaatkan media online dan media yang sedang berkembang selama pembelajaran dengan menggunakan aplikasi google classroom.  Aplikasi ini sangat efektif dalam menunjang kegiatan pembelajaran di masa pendemi Covid-19. penggunaan metode driil dalam kegiatan pembelajaran ini dapat meningkatkan ketangkasan peserta didik, dan meningkatkan keaktifan peserta didik
 
Kata Kunci :  Penelitian Penerapan, Penguasaan Mufrodat
مواصفات الاختبار الجيد (الصدق والثبات وسهولة التطبيق وقابل للقياس)
Authors: Ghufron Boby , Hanafi Dewi Chamidah , Sholeh Moh. Fairus
Published: August 2024

التقويم هو جزء لا يتجزأ من نظام التعلم، وخاصة تعلم اللغة العربية. ولا يعمل التقييم فحسب على توفير المعلومات حول نجاح أو تدهور عمليات التعلم ونتائجه ، ولكن أيضا كتغذية مرتدة لتحسين نظام التعلم. وفي الواقع، إنه انعكاس على جودة الاختبار. وواحدة من الأدوات في التقويم هو الاختبار. تودّ هذه الورقة أن تفصح كيف يكون الاختبار الجيد وما هي مواصفاته. والمنهج المستخدم هو المنهج النوعي من خلال جعل الكتب العلمية كالمراجع الرئيسية. وتشير نتائج هذا البحث إلى أن هناك أربع مواصفات رئيسية على الأقل متأصلة في الاختبار الجيد، وهي: الصدق والثبات وسهولة التطبيق وقابل للقياس.
استراتيجية تعليم اللغة العربية نحو التلميذات بمعهد دارالسلام للتربية الإسلامية سينغكوبانغ العام الدراسي 2021\2022
Authors: Arsih Wini , Sahrani Sahrani , Arifudin Arifudin
Published: August 2024

أهداف البحث هي: لوصف وتحليل تنفيذ استراتيجية تعليم اللغة العربية وكذلك وصف وتحليل العوامل التي تؤثر على تنفيذ استراتيجية في تعليم اللغة العربية نحو التلميذات بمعهد دارالسلام للتربية الإسلامية سينغكوبانغ عام دراسي 2021/2022. منهجية البحث في هذا البحث هي مدخل الكيفي وطريقة الوصفية، ومصادر البيانات هي مدرس اللغة العربية، مدبرة المسكن، والتلميذات، وتقنيات جمع البيانات المستخدمة هي المقابلة، والملاحظة، والتوثيقة. نتائج البحث هي: (1) تنفيذ استراتيجية في تعليم اللغة العربية نحو التلميذات بمعهد دارالسلام للتربية الإسلامية سينغكوبانغ. الاستراتيجية المستخدمة هي التعلم النشط للتلميذ (SAL). نهج التعليم المطبق هو نهج يركز على المعلم ونهج يركز على التلميذات. طريقة التعليم المطبقة هي الطريقة المباشرة والسؤال والجواب. تقنيات التعليم المطبقة هي تقنيات التواصل والتكرار والكلام. (2)  العوامل التي تؤثر على تنفيذ استراتيجية. العوامل الداعمة الداخلية هي تحفيز والاهتمام باللغة العربية.و أما العوامل الداعمة الخارجية هي المرافق التي تدعم تعليم اللغة العربية ومختبرات اللغة ومصادر المواد التعليمية التي يمكن الحصول عليها بسهولة من الإنترنت وغير الإنترنت. العوامل المعاوقة الداخلية هي أنه لا يزال هناك العديد من التلميذات التين ما زالوا حديثي العهد بتعليم اللغة العربية، وانخفاض الاهتمام والتحفيز باللغة العربية، ونقص المفردات. و أما العوامل المعاوقة الخارجية هي فليس كل المعلمين والموظفين قادرين على التحدث باللغة العربية بنشاط، ونقص الخبراء، ومحدودية التواصل.
Instrumen Tes Keterampilan Berbicara dalam Pembelajaran Bahasa Arab bagi Peserta Didik di MTs Alfitiyan
Authors: Pranata Alvira
Published: August 2024

Penelitian ini bertujuan untuk mengetahui instrument tes yang digunakan dalam keterampilan bericara bahasa arab pada peserta didik.. Penelitian ini menggunakan Mixed Methods yang menggabungkan penelitian kuantitatif dan penelitian kualitatif. sampel dalam penelitian ini adalah kelas VII A  yang berjumlah 30 siswa yang dipilih secara Random Sampling. Data hasil penelitian ini diperoleh dari tes keterampilan berbicara, observasi dan wawancara terhadap siswa. Berdasarkan analisis data diperoleh hasil: Keterampilan berbicara bahasa Arab siswa kelas VII yaitu sebesar 73,96% atau termasuk kategori cukup. Faktor-faktor yang mempengaruhi keterampilan berbicara bahasa Arab siswa kelas VII yaitu kurangnya kesiapan dalam mempempakajri kosakata dan hafalan dalam pembelajaran bahasa arab, kurangnya minat yang dimilki siswa dan kurangnya berlatih di dalam keterampilan berbicara bahasa arab yang menajdi salah satu factor, untuk itu instrument tes yang digunakan bertujuan untuk menggali dan menganalisis kemampuan siswa di dalam keterampilan berbicara bahasa arab, dengan instrument tes tulis dan lisan yang digunakan pada peserta didik.  
Kata kunci: Tes, keterampilan berbicara, bahasa arab
ستخدام طريقة هيبنوتيجينج لترقية دافع التلاميذ في تعلم اللغة العربية (بحث الفصل الإجرائي في الفصل الرابع بالمدرسة الابتدائية الاسلامية الاهلية نور الهدى سمبس)
Authors: Alfia Yuni
Published: August 2024

The background of this research is the learning motivation of students which really needs to be improved. The aims of this study were: 1) to find out the motivation to learn Arabic in class IV MIS Nurul Huda Seburing students before using the Hypnoteaching method. 2) to find out the motivation to learn Arabic for class IV MIS Nurul Huda Seburing students after using the Hypnoteaching method. 3) to determine the level of effectiveness of the hypnoteaching method to increase the motivation to learn Arabic in class IV MIS Nurul Huda Seburing students. The type of research used is classroom action research (PTK). The research procedures used are: Planning, Implementation, Observation, Reflection. The sample in this study amounted to 33 students. Data collection techniques used in this study are: 1) Observation, 2) Questionnaire, and 3) Documentation. As well as data analysis used is quantitative research and quantitative research. The results of this study indicate an increase in student learning motivation as evidenced by the results of the questionnaire before using the hypnoteaching method of 66.66%, then there was an increase after using the hypnoteaching method in cycle I of 84.84%, and in cycle 2 of 90.90 %.
SIGNIFIKANSI PENGUASAAN MUFRADAT TERHADAP KEMAMPUAN BERBICARA BAHASA ARAB DI PONDOK PESANTREN AL-KAUTSAR TANJUNGPINANG
Authors: Zaimah Zaimah
Published: August 2024

Arabic is one of the international languages that students must master to face the increasingly advanced era of globalization. This research aims to provide an overview of the mastery of vocabulary (mufradat) and Arabic speaking patterns by the students. Whether the two have a significant relationship or influence or not. The results of the research show that the students of Al-Kautsar Islamic boarding school have good mastery of mufradat with a percentage of 74.95 and the ability to speak Arabic also shows good results with a percentage of 68.08%. Then, it is known that rxy: 0.939 > r-table at the 5% and 1% significance levels (0.939>0.203>0.264). Thus, between the mastery of mufradat and the ability to speak Arabic of the students of the al-Kautsar Islamic Boarding School, Tanjungpinang, there is a very strong significant influence.
Óxidos mixtos cobre/aluminio como catalizadores heterogéneos en la síntesis de triazoles derivados de glucosa
Authors:   , Bello García Luis Antonio
Published: August 2024

Se sintetizaron hidróxidos dobles laminares (HDL), por sus siglas en inglés, Cu/Al comúnmente denominadas hidrotalcitas, con estructura cristalina del tipo monoclínica con relación 3:1 mediante coprecipitación, tratamiento asistido por microondas y tratamiento asistido por ultrasonido. Posteriormente mediante un tratamiento térmico, se obtuvieron los óxidos mixtos (OM) correspondientes. Los HDL fueron caracterizados por difracción de rayos X (DRX), espectroscopía infrarroja por transformada de Fourier (FT-IR), microscopía electrónica de barrido (SEM), espectroscopía de energía dispersiva de rayos X (EDS) y análisis termogravimétrico (TGA). Mediante una reacción de Cicloadición Alquino Azida (CuAAC) entre el 2-mercaptobenzoimidazol monopropargilado y la tetra acetil glucozil azida, en condiciones clásicas (empleando CuI) y posteriormente empleando los diferentes HDL y OM, se obtuvo el 1,2,3-triazol-1,4-disustituido-1-tetraacetilglucosil-4-metanmercaptobenzimidazol (TAG-T-MBI) , correspondiente, la evolución de la reacción se siguió por cromatografía en placa fina (TLC) y los productos intermedios y final fueron purificados por cromatografía en columna y caracterizados por FT-IR, y resonancia magnética nuclear (RMN) de protones y carbono 13, finalmente se comparó la actividad catalítica de los LDH Cu/Al y su correspondiente óxido mixto contra yoduro cuproso.
Efecto de la concentración del iniciador persulfato de potasio en la síntesis de microgeles iónicos de poli-N-isopropilacrilamida (pNIPAM) sobre la viscoelasticidad de las dispersiones
Authors:   , Robles Soto José Enrique
Published: August 2024

Los microgeles se pueden describir como redes poliméricas súper absorbentes de dimensiones coloidales que consisten de moléculas flexibles entrecruzadas. Se pueden clasificar entre los “materiales inteligentes” pues pueden responder, como otros ejemplos de esta clase, a cambios sutiles en las condiciones que lo rodean como la temperatura o el pH. En este trabajo se analizó el efecto de la concentración del iniciador empleado en la síntesis de estas partículas sobre esta transición volumétrica, así como sobre las propiedades viscoelásticas de las dispersiones coloidales formadas por este tipo de partículas. Generalmente, los autores que trabajan con microgeles de pNIPAM, desprecian su carga electrostática, pero como se demostró en este trabajo, ignorar la carga electrostática de estas partículas cuando se utiliza un iniciador iónico en su síntesis, puede alterar la interpretación de los resultados. Incluso para los microgeles sintetizados con la menor concentración del iniciador persulfato de potasio, las dispersiones de microgeles presentan desviaciones respecto al comportamiento esperado para microgeles neutros.
Effect of in-stream ads on viewer’s attitude to purchase—The moderating role of viewer’s control
Authors: Orangzab Orangzab , Ismail Muhammad , Akbar Minhas , Zubr Vaclav , Mehdi Syed Muntazir , Vasudevan Asokan , Fan Huimin
Published: August 2024

Research in the field of online advertising has focused on the effect of in-stream ads on viewers’ attitudes and intentions to purchase. However, little is known regarding the crucial role of viewer’s control in terms of the ‘skip ad option’ towards the attitude to purchase. This research aims to investigate the effect of in-stream ads on viewers’ attitudes to purchasing with the moderating role of viewer control. Primary data was collected from respondents of Vehari district of Pakistan through a questionnaire based on 5 points Likert scale. 370 questionnaires were incorporated after excluding the questionnaires having missing values. Structural equation modelling was used through SmartPLS-3 software in testing the hypotheses. The findings reveal that, in-stream (emotional, informational, and entertaining) ads have positive impact on viewers’ attitudes, and viewers’ control moderates the relationship between in-stream ads and viewers’ attitudes towards the ads. Further, viewers’ attitude toward the ads has a significant positive impact on viewers’ intention to purchase. To the best of our knowledge this is one of the first studies that examines the effect of in-stream ads on viewers’ attitudes to purchasing with the moderating role of viewer control in the context of a developing country, like Pakistan.
Factors influencing employee motivation in the Malaysian banking industry
Authors: Pereira Dalina Alpons , Abdullah Meor Rashydan , Wider Walton , Tanucan Jem Cloyd M. , Lee Harvey Pak Ting , Jiang Leilei , Udang Lester Naces
Published: August 2024

Organizations are gradually focusing on creating a healthy workplace for their employees and becoming more people-centric. This occurs because a healthy workforce increases the work performance of the organisation and the personal development of its employees. This study aims to investigate the HR functions that impact employee motivation in the Malaysian banking sector. The three HR functions that were selected were training and development, rewards and recognition, and career management. The study utilised a cross-sectional design, and the research instruments were adapted from a number of past studies. A total of 350 respondents from the Malaysian banking industry were recruited. Using SPSS Version 26.0, the research hypotheses were examined. The results show that rewards and recognition are not significant predictors of employee motivation in the Malaysian banking industry; however, training and development and career management are significant predictors of employee motivation. These results will help the human resources department develop and improve its HR operations.
A study of Islamic banking and finance for interest-free investors: A bibliometric analysis
Authors: Aldhawyan Sulaiman , Khan Mohd Naved , Alam Md Shabbir , Khan Mohammed Abdul Imran , Asif Mohammed
Published: August 2024

Islamic banking is one of the fastest-growing sectors of the financial industry. Several works have been written in this field, but none attempt to learn the entire Islamic banking and financial system. Furthermore, the study could not locate any publications investigating the conceptual and intellectual foundations of this emerging field of inquiry. The current study uses bibliometric methodologies to assess the current state of Islamic banking, financial research, and the upcoming trends. For the people who choose interest-free investments, the current research examines a conceptual research context on Islamic banking and finance at various planning and decision-making stages. One thousand research studies appearing in scholarly journals between 2005 and 2023 were reviewed for the purpose. In order to examine the works on Islamic banking and finance, bibliometric techniques were used, including analysis of citation network, content, co-citation, keyword, and publishing trends. By suggesting thirteen clusters, to enhance research on Islamic banking and finance to help interest-free investors learn more, the goal of the research is to promote the body of knowledge. The field of Islamic banking and finance has grown from a young lot to a prominent teaching and research tool. Investigating and identifying current research trends in this area is crucial. As institutions and society are placing more emphasis on Islamic banking to raise individual citizens’ responsibilities in developing interest-free investing strategies, the findings are crucial to the community of interest-free financiers. Further research urges with the studies not restricted to a thousand researches only.
Már nincs szükség emberre? : A személyfogalom lebontása technicizált dehumanizáció útján
Authors: Gellén Márton
Published: August 2024

A mű a technicizált dehumanizáció aktuális állapotát tekinti át, amelynek az a sajátossága, hogy jogi, üzleti, technológiai és ideológiai irányból is megtámogatott érdekek és szabadságok maradéktalan megvalósítása érdekében egy bizonyos, önmagáért kiállni képtelen embercsoport emberi mivoltának szélsőséges megtagadása, elvetése, valami mással való felváltása történik meg. A mű lényegében ezt a cseretranzakciót szemlélteti az abortusz, az eutanázia, az emberkereskedelem, a béranyaság, az autonóm fegyverrendszerek, a szoftverszemély és az egyéb nem humán entitások személlyé nyilvánítása területén. A példák sora nem lezárt, ugyanakkor ma már kellő empirikus ismeretanyag áll rendelkezésre annak az állításnak az alátámasztására, hogy ezek nem elszigetelt jelenségek, hanem egy olyan jelenségegyüttes, amelynek egyes elemeit az köti össze, hogy az emberi minőség megtartása már középtávon is lényegesen nagyobb egyéni és közösségi erőforrásokat fog igénybe venni, mint ahogyan a társadalom túlnyomó része ezt ma véli.
GENETIC VARIANTS IN GENES CORREIATED TO THE PI3K/AKT PATHWAY: THE ROLE OF ARAP3, CDHS, KIF11 AND RELNIN PRIMARY LYMPHEDEMA
Authors: Dundar M.S. , Belanová I. , Bonetti G. , Belanová V. , Kozáčiková R. , Veselenyiova D. , Macchia A. , Micheletti C. , Medori C. , Donato K. , Ricci M. , Cestari M. , Amato B. , Boccardo F. , Dundar M. , Bertelli M. , Michelini S.
Published: August 2024

Genetic anomalies affecting lymphatic development and function can lead to lymphatic dysfunction, which could manifest as lymphedema. Understanding the signaling pathways governing lymphatics function is crucial for developing targeted diagnostic and therapeutic interventions. This study aims to characterize genetic variants in genes involved in the PI3K/AKT signaling pathway, which plays a critical role in lymphangiogenesis. 408 patients diagnosed with primary lymphedema were sequenced using a next-generation sequencing (NGS) gene panel composed of 28 diagnostic genes and 71 candidate genes. The analysis revealed six variants in genes RELN, ARAP3, CDH5, and KIF11. Five of these variants have never been reported in the literature. All these genes have been correlated to lymphatic activity and are involved in the PI3K/AKT pathway. As the PI3K/AKT signaling pathway plays an essential role in lymphangiogenesis and lymphatic function, genetic variants in genes correlated to this pathway could lead to lymphedema. Our findings underscore the potential of the PI3K/AKT pathway in lymphedema pathogenesis, supporting the role of RELN, ARAP3, CDH5, and KIF11 as diagnostic and therapeutic targets.
CORRELATION OF INGUINAL LYMPH NODE NUMBER AND VOLUME WITH LOWER EXTREMITY LYMPHEDEMA SEVERITY
Authors: Adondakis M. , Ali H. , Salehi B.P. , Friedman R. , Sun W. , Donohoe K. , Kim G. , Singhal D. , Tsai L.L. , Weinstein J.
Published: August 2024

There are very limited studies on the relationship of inguinal lymph node number and volume correlated with lower extremity lymphedema severity. In this IRB-approved retrospective study, patients who obtained an MRI for lower extremity lymphedema and who did not have lymph node resection or biopsy were identified. The MRI images were used to determine the number and volume of inguinal lymph nodes for each limb in addition to fat and fluid-based scoring using a validated grading system. Wilcoxon signed-rank tests were used to compare the greater-affected limbs with the lesser-affected limbs. The spearman- rank correlation was performed on a ‘per limb’ basis for MRI-based scoring and clinical parameters with ipsilateral lymph node number and volume and for differences between the limbs. A total of 32 patients were included. The greater-affected limb had higher MRI fluid scores (median (interquartile range) = 3 (3 - 3) vs. 0 (0 - 1), (p < 0.01) relative to the contralateral limb and had a median fat asymmetry score of 2 (1 - 3). On the per-limb analysis, lymph node number and volume inversely correlated with total MRI scores (ρ = -0.47, p < 0.01 for node number and volume). The difference of lymph node number and volume correlated with MRI score difference (node number: ρ = -0.66, p < 0.01; node volume: ρ = - 0.64, p < 0.01) and perometer difference (node number: ρ = -0.58, p < 0.01; node volume: ρ = - 0.59, p < 0.01). Inguinal lymph node number and volume inversely correlate with lower extremity edema presence and severity.
ISL NEWS
Authors: NEWS ISL
Published: August 2024

ISL NEWS
Research on Sentiment Analysis Techniques for Online Ideological and Political Education
Authors: Zhou Qi , Yang Dan , Zheng Sisi , Cheng Si
Published: August 2024

Network ideological and political education is a great extension of school education, but the complex and confusing network information is also easy to give students bad emotional guidance. In this paper, microblogging data and topic clustering technology are used to obtain the emotional text data of network ideological and political education, based on the LDA model for topic feature extraction, to remove the data that has a lower degree of relevance to ideological and political education emotion in the data. Then, combined with the Jieba segmentation tool, based on the TF-IDF algorithm, for keyword extraction of the data that has been segmented. The text semantic features extracted based on the Word2Vec word vector model are used as the input information of this model, and the unique memory unit and gating structure of LSTM are utilized to solve the problem of storing memory of a priori knowledge and the problem of gradient dissipation caused by too long time threshold in long text classification. The Word2Vec-LSTM text sentiment classification model is developed and trained using Python and related machine learning libraries, and comparative experiments are carried out to validate the algorithm’s effectiveness and feasibility. The performance of Word2Vec-LSTM sentiment analysis on the dataset is higher than Word2Vec and LSTM algorithms. In addition, the value of sentiment perplexity is the smallest when the number of topics is set to be about 8, and its value is 0.542, and the positive sentiment density reaches the maximum value (0.648) as the sentiment score grows to 0.48. This paper explores the application of emotion analysis results in network ideological and political education to further improve the construction of a network ideological and political education system.
Innovative Entrepreneurship Program Design in Colleges and Universities Applying Ant Colony Algorithm
Authors: Liu Yiying
Published: August 2024

The ant colony algorithm, a heuristic algorithm that mimics ants’ foraging, can optimize problem-solving. Applying this algorithm to the design of innovation and entrepreneurship projects in colleges and universities can enhance the effectiveness and feasibility of these projects. Based on an analysis of the college innovation and entrepreneurship project design process, the article explores the entrepreneurial path through the use of big data analysis. Then, it discusses the ant colony algorithm’s basic concept and mathematical model and proposes a two-population ant colony algorithm for multi-objective resource-constrained project scheduling problems. When compared to the traditional algorithm, the improved ant colony algorithm runs 25–33 ms faster, and Company A’s operating costs drop by 1,176,000 yuan from 2020 to 2023. This shows that the improved ant colony algorithm suggested in this paper can make university innovation and entrepreneurship programs more efficient at allocating resources.
Research on the intelligent education system design and local application practice of architecture major based on red resources
Authors: Liang Aimin , Luo Chunyong
Published: August 2024

Red resources are an important part of China’s red culture, condensing red genes such as firm ideals and lofty revolutionary spirit, and have rich values of education. This paper combines red resources and Internet technology to design an intelligent parenting system for architecture majors and uses questionnaires to analyze the changes in students’ cognition of red resources and ideological quality level after the application of the parenting system. At the same time, we construct an evaluation index system for the implementation quality of the intelligent parenting system and obtain evaluation results by constructing an affiliation matrix between the indexes. Then analyze the correlation between the level of ideological quality and the quality of implementation of the parenting system. After the parenting system is applied, the mean value of each dimension of students’ ideological quality is distributed between 3.52 and 4.65 points, as evidenced by the application practice results. It has also been found that the average assessment score of the overall implementation quality of the intelligent parenting system for architecture majors based on red resources in colleges and universities is 3.94 points. The level of ideological quality and the implementation quality of the parenting system have a strong correlation. This paper lays the foundation for achieving the all-around integration of red resources and human education for architectural students and provides a reference basis for improving their ideological quality.
Immersive public art and humanistic city image building in the digital era
Authors: Zhu Anqi
Published: August 2024

The evolving times, along with the advancements in science and technology, have led to a transformation in public art. The emergence of digital media public art, which plays a crucial role in shaping the city’s image, has brought art to life. This paper utilizes virtual reality technology and digital media technology to create an immersive public art space. The CAVE system creates an immersive effect, while Kinect and Unity3D scene docking enable interactive effects. We design a questionnaire to gather data on the public’s experience of immersive public art in Shenzhen and their perception of the city’s image-shaping. We then explore the relationship between the two using structural equations and correlation analysis. The results reveal a strong correlation between the perception of immersive public art experiences and the shaping of urban images, with an average correlation of 0.795. The influence of immersive public art’s sensory experience, interactive experience, and cognitive experience on humanistic city image shaping was significant (P<0.05). Additionally, awareness of immersive public art had a significant mediating effect on the relationship between the two. This paper lays the foundation for creating immersive public art spaces and provides valuable reference ideas for shaping a humanistic city image.
Research on the digital protection and three-dimensional modeling technology of ancient buildings
Authors: Wang Bangke , Zhang Fansheng
Published: August 2024

The starting point of ancient architecture digitization and 3D reconstruction research is data acquisition. Thus, this paper mainly analyzes the processing of 3D laser scanning data and the construction accuracy of 3D reconstruction models of ancient buildings based on point cloud data. This paper discusses the basic theory of point cloud data and the preprocessing of point cloud data, including point cloud splicing, point cloud denoising, point cloud streamlining, point cloud segmentation, and other methods and applicability are discussed in detail. The boundary extraction algorithm based on RANSAC and the graph cut algorithm are utilized to obtain the main frame line of the building, and a proposed method for reconstruction based on multi-view projection is proposed. Classify laser point cloud samples from ancient buildings, calculate each wall color’s R, G, and B values, and obtain preliminary classifications of laser point cloud data categories. The RANSAC algorithm was used to extract the point cloud data plane extraction peak of the ancient tower building, combined with the three-dimensional modeling coordinate difference of the test points, to analyze the accuracy of the three-dimensional modeling technology of ancient buildings in this paper. The number of plane extraction points of the RANSAC algorithm is 9504, and the standard deviation is 0.0505, which is close to 0. The results are more accurate, and the extraction effect has a certain degree of superiority. The plane coordinate deviation of the reconstruction model of the ancient tower is mainly concentrated in the range of 0.10~0.40m, and the individual coordinate difference is more than 0.10m. The errors in the x -direction and y -direction are ±0.18m and ±0.23m, respectively, and it can be seen from the results of the error calculation that the three-dimensional reconstruction plan of the building proposed in this paper can complete the reconstruction of the three-dimensional model of the building with a high degree of accuracy.
Legal Challenges and Responses to Artificial Intelligence-Assisted Decision-Making in the International Economic Law System
Authors: Zhang Xiaojuan
Published: August 2024

Legal judgment prediction is becoming a research hotspot in the legal field as an important artificial intelligence-assisted decision-making tool in legal case management, which is able to predict judgment results. In this paper, data from the 2018 China Law Research Cup competition is gathered, and the dataset is preprocessed in the context of international economic law. Then, a multi-task model for legal verdict prediction is proposed, and the training optimization and prediction of the model are designed using CNN, RNN, and LSTM as the semantic coding layer. The model proposed in this paper achieves a significant improvement of 8% and 6% in the accuracy of the model in the prediction of the charging task and the legal sentence task, respectively. In case outcome prediction, the accuracy of the model proposed in this paper is improved by 14.6% on average compared to the feature model-based modeling approach.
Research on Optimization Strategies for Accuracy of English Automatic Language Translation under Machine Learning Framework
Authors: Liu Disha
Published: August 2024

The mainstream machine translation model Transformer is completely based on the self-attention mechanism for translation operation, but there are still some problems, such as not being able to combine the syntactic structure information of the natural language for translation, which leads to problems such as mistranslation and omission. In this paper, for the problem that the position encoding obtained by traditional RNN and attention mechanism machine translation models using a fixed formula does not contain contextual information, the source language sequences containing contextual positional information are obtained by introducing a bidirectional long-short-term memory network and a tree-shaped long-short-term memory network, trained horizontally and vertically, respectively, and the self-attention mechanism is used in Tree-LSTM for the prediction of the contribution of the decision that The relative position information between words is preserved to the maximum extent, and finally, the Bi-Tree-LSTM translation model based on positional encoding optimization is constructed. The performance of the model is tested on four datasets: general, legal, business, film, and television, and the BLEU value of the model translation is analyzed under low data resources and increased sentence length, and then a 4000-sentence long English text is translated to check the wrong sentences and analyze the translation quality. It was found that the BLEU values of this paper’s model are 33.5, 35.2, 31.7, and 34.4 in the four types of text tests, which are the highest among the models. The BLEU of this paper’s model at 5K data volume has been as high as 26.14 points, which is 2.72 points higher than the highest score of the rest of the machine translation models at 50K data volume. The BLEU scores for 8-18 word sentences consistently remain above 45, and the peak performance is superior to that of other models. 4000 sentences of English long text translation, the total number of error sentences is 54, accounting for 1.39% of the whole text, which is lower than that of the Transformer model’s 7.15%, and the performance is in line with the expectation of the optimization design. This paper provides a new idea and useful exploration for optimizing English machine translation accuracy.
Research on Deep Learning Technology to Enhance the Efficiency of Teaching Interaction in College English Classrooms
Authors: Lin Ling , Chen Rulin , Huang Cheng
Published: August 2024

Accompanied by the significant progress of deep learning in various fields, target detection, an important branch in the field of deep learning, is gradually being applied in educational scenarios. In this paper, using the GCT-YOLOv5 algorithm and the Lasso-LARs algorithm, we studied how to improve the interactive efficiency of college English classroom teaching Research first combines the YOLOv5 model with the GCT unit, constructs the GCT-YOLOv5 target detection model for students’ classroom behaviors, and compares it with Fast-RCNN, SSD, YOLOv3, YOLOv4, and YOLOv5 in the public dataset and the student classroom behavior dataset for comparison experiments, respectively. Then, the LASSO-LARS algorithm is used to construct the classroom behavior scoring model, adjust classroom teaching interactions according to the scoring results, and analyze the effect of the adjustment. On the classroom behavior dataset, the GCT-YOLOv5 model is 98.81%, second only to Fast-RCNN, and improves 0.65% relative to the original model YOLOv5. Its inference time compared to YOLOv5 inference time increased by only 0.13h, shorter than other models. The GCT-YOLOv5 model in this paper has better applicability and timeliness in general. Teaching interaction adjustment based on the results of classroom behavior analysis can improve students’ classroom performance as well as their academic performance, i.e., enhance the efficiency of teaching interaction and provide a way of thinking about how to monitor learners’ learning status in a smart classroom.
Data-driven Cultural and Creative Industry Development Trend Forecast
Authors: Fan Xiujuan
Published: August 2024

Under the deep integration of emerging technologies and industries, big data + cultural and creative industry is not only a simple industrial superposition but also the cooperation and complementarity of natural sciences, humanities, and social sciences. In this paper, the development of intelligent cultural and creative industries is predicted by the gray model, then the residuals are corrected, and finally, the residuals are corrected again by the Markov chain to improve the prediction accuracy. The modified GM(1,1) model and the improved Markov chain are used to predict and analyze the development trend of the data-driven cultural and creative industry, and the actual total output is not much different from the predicted output, which indicates that the method constructed in this paper can reasonably predict the results. According to the prediction method designed in this paper, the development of intelligent cultural and creative industries from 2024 to 2033 is predicted, and from 2029 to 2033, the maximum total output is predicted to be 28.02×107 yuan, 32.77×107 yuan, 38.33×107 yuan, 44.83×107 yuan, and 52.43×107 yuan, respectively, and China’s intelligent cultural and creative industry will enter a stage of rapid development.
Cluster optimization and algorithm design for machine vision in industrial robot control systems
Authors: Guo Linyang , Yang Runxian , Tang Mingjun , Ma Xiaoyan , Wang Lixia
Published: August 2024

Machine vision technology improves the ability to detect the environment of industrial robots, which contributes to the improvement of the collaboration efficiency of swarm robots. This paper proposes a roadmap extraction algorithm that utilizes the improved Mean Shift algorithm to extract the roadmap information from images acquired by binocular cameras. Subsequently, the IEO algorithm with K-Means++ is used to optimize the task allocation of the swarm robots. The experiments show that the average error of this paper’s algorithm’s road sign extraction is 0.025m, the ratio of full scene and homing reaches 90.6%, and the results of the scheduling algorithm under the three kinds of task volume are 59.89, 773.08, and 2704.67. The efficiency of scheduling task completion in dispensing experiments is 9.56% higher than that of the comparative algorithms. The experiment proves that the algorithm proposed in this paper has good performance and practical effects on optimizing the industrial robot control system.
Construction and Evaluation of an Intelligent Analysis System for Interactive Teaching in Physical Education Classrooms
Authors: Xiao Donglin , Wang Rong , Wei Yuqin
Published: August 2024

With the continuous deepening and progress of the research in the physical education discipline, the school and the state put the landing point on the integration of information technology and the development of the discipline. In this paper, we design the system framework and perform data module design, on the basis of which we conduct detection research on teacher-student interaction behavior. The article employs an intelligent analysis system based on the YOLOv5 model to establish a model of teacher-student interaction behavior. This model is based on the movement and facial observations of both teachers and students in a physical education classroom. The intelligent analysis system, based on the YOLOv5 model and independent t-test, observed the behavior of teacher-student interaction based on the ratio of teacher-student verbal interaction and analyzed it accordingly. In teacher- and student-type speech, the ratio of teacher-direct influence speech is 45.62%, which is higher than indirect influence speech, while the ratio of student-passive speech is 5.54%, which is higher than student-active speech. Finally, the interactive intelligent system was evaluated for teaching and learning to understand students’ feedback on the intelligent analyzing system based on the YOLOv5 model from two parts: physical education test scores and students’ satisfaction surveys. In the physical education classroom, the teacher primarily uses their own words and interacts with the students less frequently. However, the system has the potential to significantly enhance students’ performance in Physical Education, with the majority of students reporting improvements in their PE skills and other areas. In terms of participation in the physical education classroom, 32 students thought that there was a “great improvement,” and 22 students thought that there was an “improvement,” for a total percentage of 98.18%, which is a significant effect.
An Analysis of the Application of Motion Capture Technology in the Creation of Contemporary Dance with the Integration of Fibonacci Sequences
Authors: Xu Weisheng , Li Yanyan
Published: August 2024

This paper combines the existing development of Fibonacci sequence aesthetics in art creation for the aesthetic planning of the Fibonacci sequence on music rhythm, proposes to design a new modern dance creation method by combining the diversified rotation methods of the Fibonacci sequence, and builds a process framework for generating Fibonacci sequence dance score based on motion capture. The wavelet transform is employed to determine the start of the dance movement, and the gradient descent algorithm is utilized to analyze the time coordinates and refine the dance movement. Recognize the segmented elemental action sequences using the DTW method, propose three basic actions from the dataset, and test the recognition rate of the DTW algorithm for each action. Generate a Fibonacci sequence dance score by combining human gestures. Combined with the research scoring, analyze the artistic talent of the Fibonacci sequence-generated dance. According to the data results, it can be seen that the action feature vector of the two-handed waving image is P=[0.8968, 0.9925, 0.9124, 1.0243, 1.0198, 1.2438, 1.4596, 1.3698, 1.5868, 1.6596, 1.5029] with 98.67% of the two-handed waving recognition rate (with a standard deviation of 0.25). The evaluation of Fibonacci sequence generation dance by research users tends to be moderate.
A Study of Using VRTECH Virtual Reality Technology in Physical Education Teaching to Improve Students’ Learning Interests
Authors: Yang Qingbin
Published: August 2024

Based on the combination of literature related to virtual reality technology, physical education learning interest, and the impact of virtual reality technology on physical education learning interest, a blended teaching mode design with VRTECH technology as the dominant technology and virtual reality technology as the supplementary technology is carried out. Then, the accuracy of the influence of the blended physical education teaching mode designed based on VRTECH technology on students’ interest in physical education learning is examined, and table tennis class is taken as an example for instance analysis. The results show that the COSELM algorithm has the highest accuracy, and COSELM in able to adapt quickly in an unsteady environment. The T-test results of physical education learning interest in each dimension before and after the teaching experiment showed that the physical education learning interest in the experimental group would be significantly increased under the assisted teaching of VRTECH technology (T=2.15, P=0.032). The T-test results of the five dimensions of students in the -experimental group under the blended teaching mode were -4.25, −3.07, −2.11, −4.45, and −4.99, and the significance of the dimensions was <0.01 except for independent and inquiry learning. The blended teaching mode based on the VRTECH technology can give the students a novel teaching environment, and it can effectively enhance the student’s interest in physical education learning, thus improving the new perspective of students’ interest in physical education learning and providing certain theoretical basis and practical experience for the integration of virtual reality technology into physical education teaching.