bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Active break on Autonomic Nervous Pattern Recognition of Learning States
Authors: sun xiangyu , zhang feifei , Wang Manman , Qin Jian , Zhao Yang , Wen Wanhui 
Published: December 2022

Abstract
Purpose: This paper explores the effect of active break on the distinguishability of autonomic nervous patterns of learning states through machine learning.
Method: First, we collected electrocardiogram (ECG) data of 77 subjects before and after active break, and accurately located the R-wave peaks from the ECG signal to calculate the RR interval series. Second, the RR interval samples were segmented according to the inclusion criteria of certain learning states. The initial 39 ECG features were empirically calculated, and the optimal feature combination for learning states recognition was selected through sequential backward selection and leave-one-subject-out cross test. Finally, we established binary-classification models of pairs of learning states and compared their performance of learning states recognition before and after active break.
Discussion: Active break can promote or inhibit the students’ academic performance. Besides statistical analysis shows the stability of the cognitive ability. What’s more active break increases the physiological response to fatigue
Conclusion: (1) The autonomic nervous patterns of knowledge input-processing and retrieval-processing and those of cognitive load matching and mismatching in knowledge retrieval processing became less distinguishable with the effect of active break. (2) The autonomic nervous patterns of mental fatigue and no fatigue states became more distinguishable with the effect of active break. (3) Stronger parasympathetic nervous activities make students achieve better academic performance during using new knowledge to solve problem stage.
Preservation of normality by unambiguous transducers
Authors: Carton Olivier 
Published: December 2022

Abstract
We consider finite state non-deterministic but unambiguous transducers with infinite inputs and infinite outputs,
and we consider the property of Borel normality of sequences of symbols. When these transducers are strongly connected,
and when the input is a Borel normal sequence, the output is a sequence in which every block has a frequency given by a
weighted automaton over the rationals. We provide an algorithm that decides in cubic time whether an unambiguous
transducer preserves normality.
Bidirectional hybrid erythritol-inducible promoter for synthetic biology in Yarrowia lipolytica
Authors: Vidal Lea , Lebrun Esteban , Park Young-Kyoung , Mottet Guillaume , Nicaud Jean-Marc 
Published: December 2022

Abstract
Background
The oleaginous yeast Yarrowia lipolytica is increasingly used as a chassis strain for generating bioproducts. Several hybrid promoters with different strengths have been developed by combining multiple copies of an upstream activating sequence (UAS) associated with a TATA box and a core promoter. These promoters display either constitutive, phase-dependent, or inducible strong expression. However, there remains a lack of bidirectional inducible promoters for co-expressing genes in Y. lipolytica.
Results
This study built on our previous work isolating and characterizing the UAS of the erythritol-induced genes EYK1 and EYD1 (UAS-eyk1). We found an erythritol-inducible bidirectional promoter (BDP) located in the EYK1-EYL1 intergenic region. We used the BDP to co-produce YFP and RedStarII fluorescent proteins and demonstrated that the promoter’s strength was 2.7 to 3.5-fold stronger in the EYL1 orientation compared to the EYK1 orientation. We developed a hybrid erythritol-inducible bidirectional promoter (HBDP) containing five copies of UAS-eyk1 in both orientations. It led to expression levels 8.6 to 19.2-fold higher than the native bidirectional promoter. While the BDP had a 2-fold-lower expression level than the strong constitutive TEF promoter, the HBDP had a 5.0-fold higher expression level when oriented toward EYL1 and a 2.4-fold higher expression level when oriented toward EYK1. We identified the optimal media for BDP usage by exploring yeast growth under microbioreactor conditions. Additionally, we constructed novel Golden Gate biobricks and a destination vector for general use.
Conclusions
In this research, we developed novel bidirectional and hybrid bidirectional promoters of which expression can be fine-tuned, responding to the need for versatile promoters in the yeast Y. lipolytica. This study provides effective tools that can be employed to smoothly adjust the erythritol-inducible co-expression of two target genes in biotechnology applications. BDPs developed in this study have potential applications in the fields of heterologous protein production, metabolic engineering, and synthetic biology.
WITHDRAWN: The Future of Talent Management in the Hospitality Industry
Authors: Min Byung 
Published: December 2022

Abstract

Hospitality businesses have had a rough go of it recently, with low performance due to the COVID-19 pandemic leading most management to make hasty decisions to cut back on talent. As a result, those who remain in the hospitality industry have shown less emotional labor and less discretion in their work. If hospitality companies had better talent management practices in place, these problems could have been avoided. This study uses a survey research design to examine the impact of talent management on voluntary work behavior in Nigerian hospitality organizations. We took a random sample of 820 from 60 approved hospitality businesses in Southeastern Nigeria. From the pool of potential respondents, 263 were selected as the sample size. The developed hypotheses were analyzed using linear regression with the help of IBM's statistical package for the social sciences, version 20.0. The research shows that discretionary work behavior is significantly impacted by talent management dimensions in Nigerian hospitality organizations. The results show that indicators of employees' latitude to exercise their own judgment on the job are significantly influenced by talent management, defined here as the processes of attracting, developing, and retaining top talent. Human resource managers and business owners are urged by the findings to implement talent management as a means of encouraging voluntary participation in the workplace.
Health Related Quality of Life of Primary Caregivers of Persons with Tetraplegia Attending at a Specialized Rehabilitation Centre in Bangladesh
Authors: HASSAN MD NAZMUL , Akter Parvin , Rahman Ehsanur , Mamin Firoz Ahmed , Walton Lori 
Published: December 2022

Abstract
Study design: The study design was cross-sectional.
Objective: Assessment of the health-related quality of life (HRQoL) of primary caregivers of people with tetraplegia owing to traumatic SCI.
Setting: A total of 48 samples were selected conveniently for this study from the Centre for the Rehabilitation of the Paralysed (CRP), spinal cord injury unit, at Savar.
Methods: Data was collected by using a questionnaire, and health-related quality of life (HRQoL) was assessed by the Short Form-36 (SF-36) health survey questionnaire. Descriptive statistics using SPSS software version 16.0 were used for data analysis, which focused on columns, pie charts, and doughnuts.
Results: Among 48 caregivers evaluated, 39 (81.2%) were female and 9 (18.8%) were male, where 22 people (45.8%) were either husbands or wives and 15 people (31.2%) were parents of people with tetraplegia. It was found that most of the caregivers (62.5%) spend about 13–18 hrs/day caring for individuals with tetraplegia. The participants reported lower scores on social functioning and emotional well-being than the other dimensions of SF-36.
Conclusion: Primary caregivers of spinal-cord injury patients had low scores on all SF-36 aspects, including social functioning and emotional well-being.
Sponsorship: This does not include funding from grants or other sources.
Developing and calibrating a new approach of geoelectrical acquisition for detecting active tectonic features, Northern Dead Sea Fault System, Syria
Authors: Asfahani Jamal , Al-Fares W. 
Published: December 2022

Se adopta un nuevo enfoque geoeléctrico interpretativo mediante el uso de la técnica de sondeo eléctrico vertical (VES) con una configuración geoeléctrica de Schlumberger y la técnica de Pichgin y Habibuleave principalmente. El enfoque propuesto busca obtener datos interpretativos de resistividad aparente confiables para profundidades someras, de menos de unos10 metros. La configuración VES se adapta usando espaciamientos AB/2 pequeños, que no superan 50 m y se utiliza para caracterizar estructuras de depósitos Recientes y Cuaternarios en la región de la depresión de Al-Ghab. Los espaciados AB/2 usados en esa disposición de Schlumberger son 1, 1.3, 1.68, 2.18, 2.82, 3.66, 4.74, 6.15, 7.97, 10.33, 13.38, 17.35, 22.49, 29.15, 37.78 y 48.87 metros. Con esas estructuras se obtienen buenos registros para identificar eventos activos y neotectónicos. Las interpretaciones de los ocho grupos de datos VES adquiridos a lo largo de un perfil ubicado sobre una excavación en el área de Mehanbel, con un enfoque integrado mejorado de Pichgin y Habibuleave, brindan resultados cuantitativos calibrados que están en concordancia exacta con las posiciones reales de las estructuras Reciente y Cuaternaria. Por lo tanto, los resultados obtenidos alientan a aplicar esta configuración adaptada en otros lugares para detectar fallas activas afloradas o ciegas y otras características estructurales en depósitos Recientes y Cuaternarios. Las mejores ubicaciones para la excavación de zanjas utilizadas para estudiar las nuevas características tectónicas activas se decidirán a la luz de las imágenes geoeléctricas del subsuelo obtenidas por este enfoque integrado, a lo largo de diferentes perfiles en un área de estudio determinada.
LAYANAN BIMBINGAN KELOMPOK DENGAN TEKNIK PSIKODRAMA UNTUK MENINGKATKAN KEPERCAYAAN DIRI SISWA KELAS XI SMKN 6 GARUT
Authors: Megianti Fitrie , Hendriana Heris , Yuliani Wiwin 
Published: December 2022

This research is motivated by the fact that there are still students who have low self-confidence in school. The form of efforts made in counseling guidance services to provide students' understanding in increasing self-confidence is through group guidance services. This research was conducted with a qualitative descriptive research approach that combines three ways of collecting data, namely observation, interviews and documentation. The research sample was 7 students of class XI at SMK Negeri 6 Garut. From the research that has been done, it is found that students feel better than the level of self-confidence with group guidance services and psychodrama techniques that researchers do. So it can be concluded that the technique used by the researcher can be one way to increase self-confidence, especially for students at school.Keywords:Â Self-confidence, group guidance services, Psychodrama Techniques, Learners.
DEIKSIS PADA SLOGAN DALAM INSTAGRAM @KOMINFOMAGELANG DAN KAITANNYA DENGAN BAHAN AJAR TEKS SLOGAN
Authors: Wirawati Denik , Solikhah Isna Zumrotus 
Published: December 2022

Social media technology is a place to delivered slogan texts, one of which is through Instagram. This study explains the types and the function of deixis in the @kominfomagelang Instagram slogan that related to slogan text teaching materials. This is certainly interesting to be used as research object so that it becomes a reference for teaching materials in text learning, especially in junior high school. Knowing the deixis and slogan text by following developments in today's modern era is very necessary. This research using a qualitative descriptive method with the @kominfomagelang Instagram as a data sourced. The data collection method using a pragmatic equivalent which is equipped with a data card. Meanwhile, data analysis was carried out using referential equivalents, followed by the basic techniques of PUP (Pilah Unsur Penentu) and advanced techniques of HBS (Hubung Banding). The aim of this research is to find out the various types and functions of deixis contained in the slogan on the @kominfomagelang instagram so it can be used as an alternative teaching material in the slogan text. The results of this research show that in the @kominfomagelang instagram slogan there are three types of deixis, namely: (a) deixis Persona, (b) Place/Space Deixis, and (c) Time Deixis with the showing pronouns of person, thing, thing, temporal, and spatial function. The Indonesian language Learning in, especially in deixis, can be related and can be used as teaching material for slogan texts for VIII gradeÂ of junior high school. The research expected aim is to make students get easier to understand the deixis learning material and slogan text and add the knowledge or skills in the meaning of communication.
Media Pembelajaran Matematika berbasis Komputer pada Materi Kesebangunan dan Kekongruenan bagi Siswa SMP/MTs Kelas IX
Authors: Fitriyani Fitriyani , Sakur Sakur , Maimunah Maimunah 
Published: December 2022

Penelitian ini bertujuan untuk menghasilkan media pembelajaran berbasis komputer pada materi kesebangunan dan kekongruenan bagi siswa SMP/MTs Kelas IX yang memenuhi kriteria valid dan praktis. Pengembangan mediamenggunakan model R&D oleh Borg and Gall yang dimodifikasi oleh Sugiyono. Pengembangan dilakukan melalui tahapan: (1) potensi dan masalah; (2) pengumpulan data;(3) desain media; (4) validasi; (5) revisi; (6) uji coba; dan (7) revisi.Pada tahap potensi dan masalah, peneliti melakukan analisis kebutuhan dari hasil observasi di sekolah dan wawancara dengan guru Matematika.Berdasarkan analisis kebutuhan, media dikembangkan ke dalam empat kali pertemuan. Peneliti menyiapkan segala sesuatu yang dibutuhkan dalam pembuatan media, menggambar rancangan media pada kertas, kemudian merealisasikannya pada komputer sesuai rancangan yang telah dibuat. Media pembelajaran divalidasi oleh tiga orang ahli atau validator dan selanjutnya dilakukan revisi sesuai masukan validator. Media pembelajaran yang telah direvisi kemudian dilakukan uji coba kelompok kecil dan uji coba lapangan di SMP N 4 Mandau. Hasil uji coba lapangan dilakukan untuk penyempurnaan media pembelajaran. Instrumen penelitian yang digunakan adalah lembar validasi untuk menilai kelayakan media pembelajaran dan instrumen kepraktisan berupa angket respon siswa terhadap penggunaan media pembelajaran. Berdasarkan analisis data, diperoleh hasil bahwa media pembelajaran matematika berbasis komputer pada materi kesebangunan dan kekongruenan bagi siswa SMP/MTs Kelas IX termasuk dalam kategori sangat valid dengan nilai rata-rata 3,30 sehingga layak untuk diuji cobakan, dan memenuhi syarat kepraktisan yang bermakna mudah untuk digunakan sebagai media pembelajaran bagi siswa kelas IX.
Pengaruh Model Pembelajaran Problem Based Learning terhadap Hasil Belajar Matematika Siswa di Kelas VII SMP N 1 V Koto Kampung Dalam Padang Pariaman Tahun Ajaran 2019/2020
Authors: Aniswita Aniswita , Saputra Yogi , Medika Gema Hista 
Published: December 2022

Penelitian ini dilatarbelakangi dari hasil observasi di kelas VIII SMPN 1 V Koto Kampung Dalam Padang Pariaman. Terlihat pembelajaran masih didominasi oleh guru, siswa relatif pasif dan hasil belajar siswa cenderung rendah. Hal ini terlihat dari nilai ulangan harian matematika yang diperoleh siswa kelas VIII SMPN 1 V Koto Kampung Dalam Padang Pariaman berkisar 52% sampai 68%. Hal tersebut diduga dipengaruhi oleh model pembelajaran yang digunakan guru kurang mampu memaksimalkan hasil belajar siswa. Untuk mengatasi masalah tersebut peneliti melakukan penelitian dengan menerapkan model pembelajaran problem based learning dalam pembelajaran matematika. Rumusan masalah pada penelitian ini adalah “Apakah terdapat pengaruh yang signifikan model pembelajaran problem based learning terhadap hasil belajar matematika siswa di kelas VIII SMPN 1 V Koto Kampung Dalam Padang Pariaman tahun ajaran 2019/2020”. Penelitian ini bertujuan untuk mengetahui Apakah terdapat pengaruh yang signifikan model pembelajaran problem based learning terhadap hasil belajar matematika siswa di kelas VIII SMPN 1 V Koto kampung Dalam Padang Pariaman tahun ajaran 2019/2020. Hipotesis dalam peneltian ini adalah “Terdapat pengaruh signifikan model pembelajaran Problem Based Learning terhadap hasil belajar matematika siswa di kelas VIII SMPN 1 V Koto kampung Dalam Padang Pariaman tahun ajaran 2019/2020”. Jenis penelitian ini adalah penelitian eksperimen dengan rancangan penelitian The Static Group Comparison Design. Populasi dalam penelitian ini adalah siswa kelas VIII SMPN 1 V Koto kampung Dalam Padang Pariaman tahun ajaran 2019/2020. Pengambilan sampel dilakukan secara acak, terpilih siswa kelas VIII.2 sebagai kelas eksperimen dan siswa kelas VIII.3 sebagai kelas kontrol. Data penelitian diperoleh dari tes hasil belajar matematika siswa. Dari hasil analisis tes akhir dengan menggunakan uji-t diperoleh thitung = 2,21, dan t(0,95 ,48)= 1,68. Artinya terdapat pengaruh signifikan model problem based learning terhadap hasil belajar matematika siswa kelas VIII SMPN 1 V Koto Kampung Dalam Padang Pariaman tahun ajaran 2019/2020.
Pengembangan Media Pembelajaran Matematika Berbasis Android untuk Siswa SMP/MTs dan SMA/MA
Authors: Hamdani M Fikri , Priatna Nanang 
Published: December 2022

Penelitian ini mengembangkan suatu bahan ajar yang disebut Kamus Matematika. Kamus Matematika merupakan suatu media pembelajaran berbasis android untuk siswa SMP/MTs dan SMA/MA. Adapun hal yang melatarbelakangi penelitian ini adalah belum tersedianya media pembelajaran berbasis android yang dapat memfasilitasi kemampuan siswa khususnya pada bahasa simbol. Pengembangan media pembelajaran berbasis android ini bertujuan untuk menghasilkan produk media pembelajaran berbasis android yang valid dan praktis digunakan oleh siswa. Jenis penelitian ini adalah Research and Development (R&D). Model yang digunakan dalam penelitian ini adalah model ADDIE. Subjek dalam penelitian ini adalah MTsN 3 Kampar yang terdiri dari i3 isiswa ikelas iVII, i3 isiswa ikelas iVIII, i3 isiswa ikelas iIX dan siswa MAN 2 Kampar yang terdiri dari 3 siswa kelas X, 3 Siswa kelas XI, serta 3 siswa kelas XII . Teknik pengumpulan data yang digunakan dalam penelitian ini adalah teknik non tes dengan instrumen berupa angket validasi dan angket praktikalitas. Teknis analisis data yang digunakan dalam penelitian ini adalah teknik analisis deskriptif kualitatif yang digunakan untuk menganalisis data hasil review pakar. Kemudian menggunakan analisis deskriptif kuantitatif untuk mendiskripsikan hasil uji angket validaditas dan angket praktikalitas. Hasil penelitian ini aplikasi Kamus Matematika yang valid dan praktis digunakan dalam proses pembelajaran matematika.
Waste Sorting and Processing Education for Children through Game Applications that Use Loud Sound Levels
Authors: Panjaitan Bill Berthan , Nugroho Erdhi Widyarto , Prasetya FX Hendra 
Published: December 2022

Garbage is one of the big problems in society.lack of awareness of throwing garbage in its place worsen the situation. Waste processing has also become more difficult because waste is not sorted. lack of knowledge of sorting waste does not make matters better. To deal with this problem, the government launched a bank sampah program to reduce waste problems. But garbage banks don't accept all types of waste. The waste bank only accepts waste that can be recycled. Therefore a game was created to teach sorting garbage and not to litter. It was made with a sound sensor to give a unique impression in the game. The game development is designed with a reward and punishment system to tell players if they do the right thing. After the game is finished, tests are conducted on several elementary school children and the results are that EE, PE, and HM have an influence on the BI variable.
Construction and intelligent analysis of power grid physical data knowledge graph based on Internet of Things for power system
Authors: Hao Ting , Sun Xiangju , Ren Jingbin 
Published: December 2022

Abstract
The State Grid Corporation of China proposed the idea of building a ubiquitous power Internet of Things, which intends to endow the power system with adjustable perceptivity through the Internet of Things technology. Aiming at the power system under the Internet of Things, this article propounds a framework for the construction and intelligent assessment of the knowledge graph (KG). First of all, the introduction of the power Internet of Things system architecture and data life cycle will be introduced from the aspects of organisational structure, management system, team building, technical support and data security protection. Then, the key information is mined from the complicated physical text data of the power grid by using NLP technology. At the same time, a hybrid model is propounded for named entity recognition, which effectively uses context information to meliorate the accuracy of extraction. The experimental results evince that the accuracy rate of the Internet-based grid physical data KG construction and intelligent analysis framework proposed in article reaches 96.53%. It is a new guidance for the research and evolution of future power grid objects.
The Effects of Corporate and Individual Income Taxes on A gricultural Development in Nigeria
Authors: Omodero Cordelia Onyinyechi 
Published: December 2022

Abstract

Research background: The contribution of Nigerian companies and personal income taxes to agricultural development must be assessed. Throughout the years, comparable studies have focused on general economic growth rather than a specific facet of the national economy. Agriculture ensures food safety, job creation, and industrialization, which is why government revenue should be reassigned to improve agricultural production.

Purpose: The particular goal of this study is to investigate the extent to which corporate and individual income taxes influence agricultural growth in Nigeria.

Research methodology: The data set for dependent and independent variables are collected from the Central Bank of Nigeria Statistical Bulletin and OECD accordingly. The reliant variable in the study is government investment in agriculture, while the independent variables are companies and individual income taxes. The data collected for this study is analyzed using a multiple regression analytical approach.

Result: At the 1% level of significance, the results of the multiple regression analysis show that personal income tax has a significant and positive influence on agricultural development. Corporate tax does not have a significant impact on agriculture. This outcome could be attributed to the lack of government attention to agriculture as well as other Nigerian factors such as corruption and tax evasion. The research suggests that tax revenue should be collected more effectively and efficiently, and that tax resources be directed more toward sustainable agriculture.

Novelty: This study is unique in that it is the first to examine the usefulness and application of corporation and individual income taxes to agricultural finance.