bluuebunny/crossref_metadata_2025 huggingface dataset:
Forest Pedagogy towards the Problem of Polish Educational Monoculture: Projective Pilot Studies
Authors: Paluch Michał
Published: September 2023

The development of topics related to the idea of sustainable development, ecology and the climate crisis is increasingly supported by Polish educators, psychologists and therapists. At the same time, forest kindergartens as well as various grassroots initiatives based on the methodology of outdoor education are developing in Poland. The long-term achievements of practitioners - most often employees of the State Forests - for whom the forest education of the society has been one of the priorities since the early 1990s, deserves special appreciation (Wierzbicka and Czołnik 2022). In 2021, Forest Pedagogy was initiated in Poland as an interdisciplinary problem area, aspiring to a scientific sub-discipline (Paluch and Klimski 2022). The first contacts between foresters and educators gave rise to the question: Can the forest become a real “pedagogical medium” (Rykowski 2022), understood as an educational environment? What became clear was the problem of the similarity of the forest monoculture (management forests dominating in Poland) to the educational monoculture of the school and academic classroom system. Each monoculture is created with the view of matching the production demand for relatively identical objects – on the one hand, these can be trees “for boards”, but on the other hand, young people subjected to a systemic process of “labour force allocation” (Parsons 1969), serving the development of consumer attitudes. In both cases, the goal is to accelerate production, artificially stimulated competition, preventing the attainment of full maturity, or replicating an unambiguous and one-dimensional picture of the world. A symbolic illustration of the last phenomenon are the findings of a qualitative pilot study in which two groups of students completing a Forest Pedagogy course were asked to design a forest kindergarten. As it turned out, the respondents most often drew ordered elements of the urban playground infrastructure: swings, slides and sandboxes, in the vicinity of the building of the local kindergarten, which dominated the drawing. What is particularly poignant, in the analysed drawings the forest was only a symbolic background.
The Relationship Between Anxiety Symptoms, Anxiety Sensitivity, and Emotional Schemas in Patients Admitted to Psychiatry Outpatient Clinic
Authors: Bas Uluyol Ozlem , Senyasar Meterelliyoz Kumru
Published: September 2023

Introduction. Anxiety disorders are among the most common mental disorders being an important cause of disability as they impair the functionality of affected individuals.

Our study aimed to evaluate the effects of anxiety sensitivity, which is one of the cognitive structures involved in the etiology and perpetuation of psychopathologies, and emotional schemas, which evaluate how people handle their emotions, on anxiety symptoms.

Methods. One hundred participants who were admitted to the outpatient psychiatry clinic, agreed to participate in the study, and met the inclusion criteria were included in the study. The Beck Anxiety Inventory (BAI), Beck Depression Inventory (BDI-I), Leahy Emotional Schema Scale Turkish Version (LESS-T), and Anxiety Sensitivity Index (ASI-3) were administered to the participants.

Results. A correlation analysis revealed a significant relationship between the BAI score and BDI-I score, ASI-3 total score, and LESS-T Uncontrollability, Weakness, Comprehensibility, Acceptance of Emotions, Rumination, Denial of Emotions, Validation subscale scores (p < 0.05). A logistic regression analysis that examined the risk factors predicting anxiety symptoms in individuals found that increasing BDI-I and ASI-3 total scores had an increasing effect on the development of anxiety, and an increase in the LESS-T Denial of Emotions subscore had a decreasing effect.

Conclusions. Determining anxiety sensitivity and emotional schemas in patients with anxiety symptoms may be a guide in identifying and treating the risk factors for the development of anxiety disorders.
Social Determinants of Health and Patients’ Technology Acceptance of Telehealth During the COVID-19 Pandemic: Pilot Survey
Authors: Anil Kumar Vaidhyam Sneha , Huang Kuo-Ting
Published: September 2023

Background

Telehealth has been widely adopted by patients during the COVID-19 pandemic. Many social determinants of health influence the adoption.

Objective

This pilot study aimed to understand the social determinants of patients’ adoption of telehealth in the context of the pandemic.

Methods

A survey methodology was used to capture data from 215 participants using Amazon Mechanical Turk. The study was guided by the technology acceptance model and the social determinants of health framework. The questionnaire included technology acceptance model variables (eg, perceived usefulness [PU] and perceived ease of use [PEOU]), social determinants (eg, access to health care, socioeconomic status, education, and health literacy), and demographic information (eg, age, sex, race, and ethnicity). A series of ordinary least squares regressions were conducted to analyze the data using SPSS Statistics (IBM Corp).

Results

The results showed that social determinant factors—safe neighborhood and built environment (P=.01) and economic stability (P=.05)—are predictors of the PEOU of telehealth adoption at a statistically significant or marginally statistically significant level. Furthermore, a moderated mediation model (PROCESS model 85) was used to analyze the effects of COVID-19 on the neighborhood, built environment, and economic stability. PEOU and PU significantly positively affected users’ intention to use technology for both variables.

Conclusions

This study draws attention to 2 research frameworks that address unequal access to health technologies. It also adds empirical evidence to telehealth research on the adoption of patient technology. Finally, regarding practical implications, this study will provide government agencies, health care organizations, and health care companies with a better perspective of patients’ digital health use. This will further guide them in designing better technology by considering factors such as social determinants of health.
Effects of Virtual Reality Pilates Training on Duration of Posture Maintenance and Flow in Young, Healthy Individuals: Randomized Crossover Trial
Authors: Park Sung Je , Lee Jea Woog
Published: September 2023

Background

This study explored the use of virtual reality (VR) technology to enhance the effectiveness and duration of low-intensity movements and postures in Pilates-derived exercises. We postulate that by leveraging the flow state in VR, individuals can engage in these exercises for longer periods while maintaining a high level of flow.

Objective

The purpose of this study was to compare differences in posture maintenance and flow between VR Pilates training and conventional Pilates training, and the correlation between the 2 factors.

Methods

The 18 participants in each group received either VR training or conventional training and were switched to the other training type after a 2-day wash-out period. Each group performed Pilates movements in a VR environment and a conventional environment, divided into 4 types. After training sessions, participants were evaluated for flow using a self-report questionnaire. In addition, a sports video analysis program was used to measure the duration of posture maintenance in 2 video-recorded sessions. Repeated-measures ANOVA and correlation analysis were performed on the measured duration of posture maintenance and flow scores. In all cases, the statistical significance level was set at P<.05.

Results

Results for the duration of posture maintenance verification by type showed that simple behavior (F1,16=17.631; P<.001), upper body–arm coordination behavior (F1,16=6.083; P=.04), upper body–leg coordination behavior (F1,16=8.359; P<.001), and whole-body coordination behavior (F1,16=8.426; P<.001) all showed an interaction effect at P<.05. Flow (F1,16=15.250; P<.001) also showed an interaction effect. In addition, significant correlations were determined between duration of all types of posture maintenance and flow in the VR training group at P<.05.

Conclusions

Our results indicate that VR Pilates training may be more useful than conventional Pilates training in improving the duration of posture maintenance and that it promotes a significantly higher degree of flow when compared with conventional Pilates training.
The Feasibility and Reliability of Upper Arm–Worn Apple Watch Heart Rate Monitoring for Surgeons During Surgery: Observational Study
Authors: Yamada Kazunosuke , Enokida Yasuaki , Kato Ryuji , Imaizumi Jun , Takada Takahiro , Ojima Hitoshi
Published: September 2023

Background

Health care professionals, particularly those in surgical settings, face high stress levels, impacting their well-being. Traditional monitoring methods, like using Holter electrocardiogram monitors, are impractical in the operating room, limiting the assessment of physicians’ health. Wrist-worn heart rate monitors, like the Apple Watch, offer promise but are restricted in surgeries due to sterility issues.

Objective

This study aims to assess the feasibility and accuracy of using an upper arm–worn Apple Watch for heart rate monitoring during robotic-assisted surgeries, comparing its performance with that of a wrist-worn device to establish a reliable alternative monitoring site.

Methods

This study used 2 identical Apple Watch Series 8 devices to monitor the heart rate of surgeons during robotic-assisted surgery. Heart rate data were collected from the wrist-worn and the upper arm–worn devices. Statistical analyses included calculating the mean difference and SD of difference between the 2 devices, constructing Bland-Altman plots, assessing accuracy based on mean absolute error and mean absolute percentage error, and calculating the intraclass correlation coefficient.

Results

The mean absolute errors for the whole group and for participants A, B, C, and D were 3.63, 3.58, 2.70, 3.93, and 4.28, respectively, and the mean absolute percentage errors were 3.58%, 3.34%, 2.42%, 4.58%, and 4.00%, respectively. Bland-Altman plots and scatter plots showed no systematic error when comparing the heart rate measurements obtained from the upper arm–worn and the wrist-worn Apple Watches. The intraclass correlation coefficients for participants A, B, C, and D were 0.559, 0.651, 0.508, and 0.563, respectively, with a significance level of P<.001, indicating moderate reliability.

Conclusions

The findings of this study suggest that the upper arm is a viable alternative site for monitoring heart rate during surgery using an Apple Watch. The agreement and reliability between the measurements obtained from the upper arm–worn and the wrist-worn devices were good, with no systematic error and a high level of accuracy. These findings have important implications for improving data collection and management of the physical and mental demands of operating room staff during surgery, where wearing a watch on the wrist may not be feasible.
Day Ahead Solar Generation Forecasting in Smart Grids to Minimize Electricity Bill
Authors: Krishna Sagi Sai , Krishan Dr. Ram
Published: September 2023

Abstract: In order to meet the increasing growth of energy demand, integration of renewable resources into residential applications appears to be a viable solution. In the proposed model,a residential house is considered where the consumer is able to generate his own energy from a microgrid consisting of solar panels and wind turbines. In this study, an optimization method is employed to minimize the overall electricity bill of a residential home over a periodof 24 hours. In smart grids, energy management is imperative in reducing the electricity cost of consumers under a real time pricing approach. Nowadays, learning-based modeling methods are utilized to build a precise forecast model for renewable power sources. In this paper, we propose a long short-term memory (LSTM) recurrent neural network-based framework, which is one of the most popular techniques of deep learning. This technique predicts day ahead solar irradiation and wind speed data. We also consider an energy storage system (ESS) for efficient energy utilization. Optimization is done and from the obtained results a substantial reduction in electricity bill is observed
The legal protection system of indigenous peoples in Southeast Asia
Authors: Aditya Zaka Firma , Al-Fatih Sholahuddin
Published: September 2023

Globalization has a bad impact on the indigenous peoples in Southeast Asia countries. The demands of globalization have led the governments in Southeast Asia countries to exploit and industrialize indigenous regions excessively, resulting in marginalized indigenous peoples and the threat of extinction. Not intended for the benefit and welfare of indigenous peoples, the policy made by the government in several Southeast Asia countries did much to reduce the value of humanity and the rights of indigenous peoples. Even with rapid industrialization in Southeast Asia countries, many indigenous peoples are poor, left far behind, and illiterate due to isolation from the outside world. This paper aims to analyze the legal protection of indigenous people in Southeast Asia, especially in facing digital age. By normative juridical method, this paper found that the government and developers' exploitation of indigenous peoples in the region has always been laden with conflicts between the government, the developers (economic motive), and indigenous peoples, and such conflicts of interest are usually won by the interests of the government and/or developers. Indigenous peoples' right to sue for damages caused is sometimes hampered with difficulty simply because the government holds powerful and dominant standing in courts. Moreover, most countries in the Southeast Asia region does not have customary courts in their judicial institution.
INVESTIGATION OF THE RELATIONSHIP OF YOGA TRANSFORMATION EFFECT ON LEVELS OF DEPRESSION, ANXIETY, STRESS AND MINDFULNES IN INDIVIDUALS PLAYING YOGA
Authors: ERUL Büşra , BİLGİN Ulviye , BAĞCI Emre
Published: September 2023

Nowadays, it is seen that individuals often do yoga as a way to improve their physical and psychological health with the pursuit of feeling good. In this study, it was aimed to examine the relationship of yoga transformation effect on depression, anxiety, stress and mindfulnes (Conscious Awareness) in individuals who practice yoga. A total of 236 subjects voluntarily participated in the study, 36 males and 200 females, with an average age (36.25 years), height (166.40 cm) and body weight (60.06 kg), respectively. The Mindful Attention Awareness Scale (MAAS), the Yoga Self-Efficacy Scale (YSES) with three sub-dimensions (Body, Mind and Breath) and the Depression-Anxiety and Stress Scale (DASS-21) were administered to the participants. In addition, with the personal information form, it was questioned how many years yoga was practiced, whether meditation and breathing exercises were done.

SPSS 22.0 package program was used for statistical analysis. In the analysis of the data, t test, ANOVA and Pearson Correlation analysis were used to determine the relationship between the variables. In addition, multiple linear regression analysis was applied to determine the effect of yoga transformation effect on depression, anxiety, stress and mindfulness.

As a result of the analyses, significant differences were found between YSES and its sub-dimensions (p
Lise Öğrencilerinin Fiziksel Aktiviteye Karşı Tutumları ile Obezite Farkındalık Düzeylerinin İncelenmesi (Mardin İli Örneği)
Authors: ÖKMEN Mehmet Şerif
Published: September 2023

Bu araştırma Mardin’de öğrenim gören lise öğrencilerinin fiziksel

aktiviteye karşı tutumları ile obezite farkındalık düzeylerinin incelemesi

amacıyla yapılmıştır. Araştırmanın örneklemini Mardin il ve ilçelerinde

öğrenim görmekte olan lise öğrencileri arasından basit rastgele örnekleme

metoduyla seçilmiş 339 erkek ve 315 kız olmak üzere toplam 654 öğrenciden

oluşturulmuştur. Araştırmada veri toplama aracı olarak kişisel bilgi formu,

Obezite Farkındalık Ölçeği (OFÖ) ve Bilişsel Davranışçı Fiziksel Aktivite

Ölçeği (BDFAÖ) kullanılmıştır. Elde edilen veriler SPSS 25 programı ile

Mann-Whitney U, Kruskal-Wallis H, Tamhane’s T2 ve Spearman korelasyon

testleri kullanılmıştır. Elde edilen verilere göre, BDFAÖ; cinsiyet (öz

düzenleme), yaş (sonuç beklentisi, öz düzenleme, kişisel engeller ve BDAFÖ

toplam puan) ve sınıf (öz düzenleme, kişisel engeller ve BDAFÖ toplam puan)

değişkenleri açısından anlamlı farklılıkların olduğu tespit edilmiştir (p
Can Autistic Traits Severity Predict Autism Parenting Stress?
Authors: Ibrahim Rabab Khalil , Al-Juboori Ali Kareem
Published: September 2023

Objectives: To investigates the mediating role of autistic traits severity in parenting stress among parents of children with autism spectrum disorder.

Methods: A descriptive correlational design was used in this study which includes a simple random sample of parents of children with autism who age 2-12-years referred to the Alsubtain Academy autism center during 2022 in Karbala provinance, Iraq.

Results: Most parents are stressed experience 52 % of total sample and most children have severe autistic traits. Furthermore, autistic traits severity positively predicted parental autism stress.

Conclusion: Parents of children with severe traits of ASD tend to have high level of parenting stress, Other variables such as age of child on diagnosis, child age, parental gender and family type have no significant effect on parenting stress.
Nexus between weeds secondary succession and livelihoods in Hadejia-Nguru wetlands of Nigeria
Authors: Ahmed Jajere Abubakar , Saidu Abubakar Muhammad , Usman Adamu  , Ibrahim Usman
Published: September 2023

Hadejia-Nguru wetlands is known as a joule of the Sahel as it is the major biodiversity reservoir of the Sahelian parts of Nigeria. However, series of impediment that follows the Sahelian drought of 1970s has been altering the ecosystem of the wetlands. The secondary succession of invasive weed that follow the habitat changes has altered the wetlands derived livelihood activities. This study examines the livelihoods constrain of the weeds as well as livelihoods derived from the weeds. Information on biodiversity timeline history, types of weeds that grow on the wetland site, the livelihoods activities derived from the weeds, and the livelihoods constraint of weeds were collected through interviews with key informants and focus group discussion. Three focus group discussions were conducted in six wetlands site communities, with participants including farmers, pastoralists, and other categories of wetland users. The qualitative information collected was analysed using grounded theory tool. The study identified 18 weed species that grow on the Hadejia-Nguru wetlands and discovered that the weeds are sources of raw materials for constructions, craft work, and fodder for animals among others. They also constitute the major constraints to livelihood activities such as fishing, transportation, irrigation, rainfed farming, and domestic water supply, among others. The study concluded that weeds are both a constraint and means of livelihood. Hence, the study’s hypothesis is that ‘’the impact of weeds on livelihoods diminish over time’.’ It is therefore recommended that all the beneficial weeds in the wetlands should be identified and utilized sustainably, while the growth of the bad ones should be controlled.
Electrochemical hydrogenation of benzo[b]thiophene 1,1-dioxides with HFIP as hydrogen donor
Authors: Guo Ming-Zhong , Mou Mei-Jin , Chen Zhuo , Li Ming , Wen Li-Rong , Zhang Lin-Bao
Published: September 2023

A straightforward electrochemical hydrogenation of benzo[b]thiophene
1,1-dioxides with HFIP as the hydrogen donor has been re-ported in an
undivided cell under metal-free conditions. Moreover, the tolerance of
various functional groups and scaled-up experi-ments showed the
practicability and potential applications of this methodology.
Machine Learning in Clinical Diagnosis of Head and Neck Cancer
Authors: Black Hollie , Young David , Rogers Alexander , Montgomery Jenny
Published: September 2023

Objective Machine learning has been effective in other areas of
medicine, this study aims to investigate this with regards to HNC and
identify which algorithm works best to classify malignant patients.
Design An observational cohort study. Setting Queen Elizabeth University
Hospital. Participants Patients who were referred via the USOC pathway
between January 2019 and May 2021. Main outcome measures Predicting the
diagnosis of patients from three categories, benign, potential malignant
and malignant, using demographics and symptoms data. Results The
logistic regression-based models with a penalty term worked best on the
data, ridge achieving an AUC of 0.7081. The demographic features
describing living alone and recreational drug use history were the most
important variables alongside the red flag symptom of a neck lump.
Conclusion Further studies should aim to collect larger samples of
malignant and pre-malignant patients to improve the class imbalance and
increase the performance of the machine learning models.
Exploring Higher Education Part-time Students’ Sense of Belonging: The Case of an Institution in Lesotho
Authors: Letseka-Manka Maqenehelo , Morena Malebohang Catherine , Khumalo Motlalepula Alphonci
Published: September 2023

A sense of belonging is one of the fundamental human needs, which occurs when a person feels supported, accepted, and included in a variety of social situations. A university has a duty to create an atmosphere that encourages students to feel more a part of the campus community. That would enhance students’ success, achievement, motivation, and retention, as well as their wellness and mental health. The study explored the sense of belonging of part-time students enrolled in part-time programmes in higher education. A qualitative case study was conducted, and group interviews with first-year, second-year, and third-year students conveniently sampled produced the data to gain in-depth knowledge of part-time students’ sense of belonging. It was found that both full-time students and non-academic staff did not treat part-time students fairly during their stay on campus. Again, the study revealed that part-time students had no access to library facilities like full-time students do. On the other hand, students appreciated the support they received from their lecturers. It is recommended that higher institutions of learning improve students’ well-being and create a conducive environment for part-time students to feel accepted, respected and cared for.
PENGEMBANGAN MULTIMEDIA INTERAKTIF BERBASIS PENDEKATAN SAINTIFIK PADA POKOK BAHASAN SISTEM PENCERNAAN MANUSIA UNTUK MENINGKATKAN HASIL BELAJAR SISWA
Authors: Rohimatusafiah Yahya , Sutanto Agus , Achyani Achyani
Published: September 2023

Abstrak: Tujuan penelitian ini menghasilkan bahan ajar berupa multimedia interaktif pembelajaran pada pokok bahasan sistem pencernaan pada manusia untuk menguatkan konsep belajar siswa sebagai bahan referensi pembelajaran biologi di SMAN 2 Tegineneng yang memenuhi kualifikasi dari aspek media, aspek materi, dan aspek pembelajaran.   Mengetahui kualitas bahan ajar berupa multimedia Interaktif berbasis saintifik,  pada pokok bahasan sistem pencernaan manusia. Untuk mengetahui pendekatan saintifik pada pokok bahasan sistem pencernaan manusia dan hasil penilaian peserta didik tgerhadap multimedia interaktif yang dikembangkan. Penelitian ini menggunakan model pengembangan model 4-D yaitu define, design, develop, dan deseminate.  Berdasarkan hasil data validasi dengan validator menghasilkan  persentase yaitu 85% ahli desain, 86% ahli materi, dan 92% ahli bahasa yang menunjukkan bahwa produk multimedia interaktif layak diujicobakan pada peserta didik dengan kriteria sangat baik. Sedangkan, hasil uji coba peserta didik diperoleh persentase sebesar 92,42% dengan kategori sangat baik. Kesimpulan yang didapatkan yaitu produk yang dikembangkan multimedia interaktif materi sistem pencernaan telah layak digunakan dalam pembelajaran.

Kata kunci: Konsep belajar,  multimedia interaktif,  pendekatan saintifik, sistem pencernaan manusia

 

Abstrack: The purpose of this study was to produce teaching materials in the form of interactive multimedia learning on the subject of the digestive system in humans to strengthen students' learning concepts as reference materials for learning biology at SMAN 2 Tegineneng which meet the qualifications from media aspects, material aspects, and learning aspects. Knowing the quality of teaching materials in the form of scientific-based interactive multimedia, on the subject of the human digestive system. To find out the scientific approach to the subject of the human digestive system and the results of students' assessment of the interactive multimedia that was developed. This study uses a 4-D model of development, namely define, design, develop, and disseminate. Based on the results of the validation data with the validator, the percentages are 85% design experts, 86% material experts, and 92% linguists indicating that interactive multimedia products are feasible to be tested on students with very good criteria. Meanwhile, the results of the student trials obtained a percentage of 92.42% in the very good category. The conclusion obtained is that the product developed by interactive multimedia on the digestive system material is suitable for use in learning.

Keyword: Learning concept, interactive multimedia, saintific approach, digestive system
STUDI ETNOBOTANI PADA PROSES RITUAL ADAT MASYARAKAT BALI KECAMATAN LABUHAN MARINGGAI SEBAGAI SUMBER BELAJAR BIOLOGI
Authors: Safitri Safitri , Mufahroyin Mufahroyin , Santoso Handoko
Published: September 2023

Abstrak: Etnobotani penting untuk dipelajari oleh masyarakat Indonesia karena pemanfaatan tumbuhan secara tradisional masih banyak yang belum diketahui. Rendahnya pengetahuan masyarakat akan ritual adat dan sedikit masyarakat yang memahami tentang ilmu etnobotani menyebabkan terjadinya degradasi budaya. Penelitian ini bertujuan untuk mengetahui pemanfaatan tumbuhan dalam ritual adat ritual lingkup keluarga yang mencakup pernikahan, kehamilan,melahirkan, kematian, ritual kemasyarakatan yang mencakup nebar beih, membangun rumah, memotong gigi, ritual peribadahan galungan, kuningan, nyepi, purnama, yajna, tri sadyana, saraswati oleh masyarakat Bali Kecamatan Labuhan Maringgai Kabupaten Lampung Timur. Metode yang digunakan dalam penelitian ini adalah gabungan antara metode kualitatif dan kuantitatif. Sampel diambil menggunakan teknik snowball sampling dan purposive sampling. Wawancara dilakukan pada 24 narasumber yang merupakan 4 tokoh adat dan 2 masyarakat Bali. Dari hasil wawancara di dapatkan hasil tumbuhan yang digunakan dalam ritual adat masyarakat Bali yang mencakup 4 Banten, yaitu banten pejati, banten daksine, banten kewangen, banten canang, banten sagehan. Terdapat tiga faktor yang menyebabkan terjadinya degradasi yaitu faktor internal, eksternal, dan etnobotani.

Abstract: Ethnobotany is important for the people of Indonesia to learn because the traditional use of plants is still unknown. The low level of public knowledge of traditional rituals and few people who understand ethnobotany have caused cultural degradation. This study aims to determine the use of plants in traditional rituals within the family which includes marriage, pregnancy, childbirth, death, social rituals which include nebar beih, building a house, cutting teeth, rituals of Galungan worship, brass, Nyepi, full moon, yajna, tri sadyana , saraswati by the people of Bali, Labuhan Maringgai District, East Lampung Regency. The method used in this study is a combination of qualitative and quantitative methods. Samples were taken using snowball sampling and purposive sampling techniques. Interviews were conducted with 24 informants who were 4 traditional leaders and 2 Balinese people. From the results of the interviews, it was obtained plant products used in Balinese traditional rituals which cover 4 Banten, namely Pejati Banten, Daksine Banten, Kewangen Banten, Canang Banten, Sagehan Banten. There are three factors that cause degradation, namely internal, external, and ethnobotanical factors.
KEANEKARAGAMAN JENIS CAPUNG DI LANSKAP PERTANIAN GOALPARA-PERBAWATI KABUPATEN SUKABUMI PROVINSI JAWA BARAT
Authors: Ibnusivva Caesar Adhitya , Kurnia Insan
Published: September 2023

Capung merupakan serangga yang berperan penting secara ekologi sebagai predator terutama bagi serangga hama baik di habitat perairan maupun habitat terestrial.  Lanskap pertanian Goalpara-Perbawati Kabupaten Sukabumi memiliki sejarah panjang pemanfaatannya sebagai lahan budidaya, sehingga penelitian ini bertujuan untuk menganalisis keanekaragaman jenis capung di lanskap pertanian Goalpara-Perbawati.  Penelitian dilaksanakan pada Bulan Februari-Mei 2022 di lima habitat yaitu kebun teh, kebun kopi, kebun Bunnga, Kebun Sayur, dan Danau.  Data capung diambil dengan metode transek berukuran 100x20 meter selama 10 menit setiap transek.  Data habitat mencakup deskripsi vegetasi dominan, suhu udara, kelembaban udara, dan kecepatan angin.  Data dianalisis dengan nilai indeks keanekaragaman jenis (H’) dan kemerataan jenis (E).  Kekayaan jenis capung yang dijumpai sebanyak 16 jenis dari dua sub-ordo dan lima famili. Capung paling banyak dijumpai di habitat danau (13 jenis).  Jenis Orthetrum sabina dapat dijumpai di seluruh tipe habitat, sementara jenis lain hanya dijumpai di satu sampai empat habitat.  Secara keseluruhan diperoleh nilai H’ sebesar 1,82 dan nilai E sebesar 0,66.  Nilai H’ tertinggi yaitu habitat danau (H’=2,07) sedangkan yang terendah yaitu habitat kebun teh (H’=0,85).  Sementara nilai E yang tertinggi yaitu habitat danau (E=0,81) sedangkan yang terendah yaitu habitat kebun bunga serta kebun kopi sebesar E=0,71.
PENGEMBANGAN LABORATORIUM VIRTUAL SEBAGAI MEDIA PRAKTIKUM ALTERNATIF PADA MATA PELAJARAN BIOLOGI DI SMA
Authors: ATIKAH CUCU , Achyani Achyani , Muhfahroyin Muhfahroyin
Published: September 2023

This development research aims to produce a product in the form of an Android-based Catalase Enzyme Test V-Lab application which is expected to be used as an alternative practicum medium for Biology subjects in SMA. in Biology subjects that can support practical activities in the learning process. The research was conducted using the RND (Research and Development) method with the ADDIE development model. The results showed that the results of expert validation from 4 aspects obtained scores with "very good" criteria consisting of the percentages: media design experts 97%, material experts 92%, linguists experts 96%, IT experts 90%. The results of the limited trial applied in the field obtained the results of small group trials of students of 94%, teacher responses of 95%, large group trials of 94%, and evaluation of 97%, with the criteria of “very good”. Thus, it can be concluded that the V-Lab Catalase Enzyme Test application that has been made has met the "very good" eligibility standard, so it is suitable to be used as an alternative practicum medium in Biology learning in high school.
KECERDASAN EKOLOGIS PESERTA DIDIK KELAS XI SMA DI PROVINSI LAMPUNG DITINJAU DARI MOTIVASI MENJAGA LINGKUNGAN DAN LINGKUNGAN SOSIAL
Authors: Ristina Farah Eva
Published: September 2023

Usaha pemenuhan kebutuhan pokok manusia mengakibatkan perubahan pada unsur atau bagian lingkungan hidup dan sumber daya alamnya. Kualitas lingkungan semakin memprihatinkan, sementara perbaikan dan pemulihan lingkungan kehilangan momentumnya dibandingkan dengan tingkat kerusakan dan pencemaran. Perilaku melestarikan dan menghargai lingkungan hidup telah banyak diberikan dalam pembelajaran, konsep lingkungan dalam materi pembelajaran biologi mampu mengembangkan kecerdasan ekologis sehingga membentuk peserta didik yang mempu mengembangkan IPTEK yang efisien dalam memanfaatkan sumber daya dan ramah lingkungan, juga mampu menjalankan etika moralitas dan memiliki pola pikir dan perubahan pandangan yang berwawasan ekologis. Motivasi menjaga lingkungan dan lingkungan sosial ikut berkontribusi terhadap kecerdasan ekologis peserta didik. Penelitian ini bertujuan untuk mengetahui (1) Pengaruh motivasi menjaga lingkungan terhadap kecerdasan ekologis; (2) Pengaruh lingkungan sosial terhadap kecerdasan ekologis; (3) Pengaruh interaksi motivasi menjaga lingkungan dan lingkungan sosial terhdap kecerdasan ekologis. Jenis penelitian menggunakan metode ex-post facto. Instrumen penelitian menggunakan kuisioner yang diberikan kepada sampel peneltian yakni pada peserta didik yang berada di lingkungan sosial (Kota dan Desa) di Provinsi Lampung. Berdasarkan analisis hipotesis menunjukkan bahwa (1) terdapat pengaruh motivasi menjaga lingkungan terhadap kecerdasan ekologis (2) tidak terdapat pengaruh lingkungan sosial terhadap kecerdasan ekologis (3) tidak terdapat pengaruh interaksi motivasi menjaga lingkungan dan lingkungan sosial terahadap kecerdasan ekologis.
Pengaruh Discovery Learning Berbasis Augmented Reality terhadap Hasil Belajar Siswa
Authors: Indriyani Dian , Muhfahroyin Muhfahroyin , Santoso Handoko
Published: September 2023

Abstrak: : Tujuan penelitian ini untuk mengetahui pengaruh model pembelajaran discovery learning berbasis augmented reality terhadap hasil belajar kognitif materi sistem ekskresi manusia pada siswa Kelas VIII SMPN 2 Raman Utara. Jenis penelitian ini adalah eksperimen semu dengan menggunakan Posttest Only Control Design, peneliti menggunakan instrument berupa butir soal tes uraian (essay) yang digunakan peneliti untuk mengukur kemampuan peserta didik setelah melakukan proses belajar dengan menggunakan model pembelajaran Discovey Learning Berbasis Augmented Reality. Penelitian ini menggunakan 2 kelas yaitu kelas kontrol dengan menggunakan model pembelajaran konvensional dan kelas eksperimen menggunakan model pembelajaran Discovery Learning Berbasis Augmented Reality. Data penelitian diuji hipotesis dengan Independent Sampel t-test. Hasil uji dengan uji normalitas menunjukan Sig > daripada α=0,05 yaitu 0,908 > 0,05, dan untuk uji homogenitas didapatkan nilai 0,715 yang berarti terima H0 kedua populasi mempunyai varians yang homogen (sama), kemudian pada uji Independent Sample t-test didapatkan nilai sig < dari ( = 5%) yaitu 0,001 < 0,05 Sehingga ada pengaruh model pembelajaran discovery learning berbasis augmented reality terhadap hasil belajar kognitif materi sistem ekskresi manusia pada siswa Kelas VIII SMPN 2 Raman Utara.

 

Kata kunci: model Discovery Learning, hasil belajar siswa

Abstract: The purpose of this study was to determine the effect of the augmented reality-based discovery learning model on cognitive learning outcomes of the human excretory system material in Class VIII students of SMPN 2 Raman Utara. This type of research is a quasi-experimental using the Posttest Only Control Design, the researcher uses an instrument in the form of essay test items used by researchers to measure the ability of students after carrying out the learning process using the Augmented Reality Based Discovery Learning learning model. This study used 2 classes, namely the control class using conventional learning models and the experimental class using the Augmented Reality Based Discovery Learning model. The research data was tested by the hypothesis with the Independent Sample t-test. The test results with the normality test show Sig > than α = 0.05, namely 0.908 > 0.05, and for the homogeneity test a value of 0.715 is obtained, which means that accept H0, the two populations have homogeneous (same) variance, then test the Independent Sample t-test obtained a sig value < of (α = 5%), namely 0.001 <0.05 So that there is an influence of the augmented reality-based discovery learning model on cognitive learning outcomes of human excretory system material in Class VIII students of SMPN 2 Raman Utara.
De mirar desde el sillón a observar con método
Authors: Carboni Ornela , Nicolosi Alejandra
Published: September 2023

En este artículo se presenta una matriz analítica diseñada para tipificar los contenidos audiovisuales que circulan en el mercado audiovisual ampliado a partir de considerar tres dimensiones: la estructura empresarial y de producción, la oferta de contenidos y la emisión. El instrumento permitirá recopilar información sobre los contenidos que circulan en las señales de televisión (servicio abierto y de pago) y en los servicios digitales audiovisuales bajo demanda OTT.
Research on the identification and integration of folk dance creation elements based on big data technology
Authors: Li Chang
Published: September 2023

In order to identify the elements of folk dance creation, two methods of continuous folk dance movement recognition are proposed in this paper. By considering the dance movement patterns as a whole and the templates as incomplete patterns, OE-DTW is applied to match them to segment and recognize each movement pattern one by one. To enhance the performance, a global restriction K-Repetition and endpoint detection condition are proposed to match with OE-DTW, and a penalty-based layer matching algorithm is proposed by using the layer structure feature of SegSVD so that the endpoint of the input movement pattern can be determined by the top layer matching of the latter when matching with the template pattern. Meanwhile, the similarity between two patterns based on this algorithm can also be calculated by the local results obtained from the weighted cumulative layer matching. Experiments show that the average recognition rate of OE-DTW is 0.891, SegSVD is 0.86, and CDP is 0.828. Both methods can effectively deal with the continuous action recognition problem, and they have better recognition results compared with CDP.
Analysis of energy storage capacity optimization of distribution network based on quadratic planning algorithm under large scale DG access
Authors: Song Xinfu , Li Changling , Yi Geng , Zhong Rui , Wang Wei
Published: September 2023

The intermittent, random and uncontrollable characteristics of renewable energy generation bring many challenges to the actual operation of distribution grid (DG) energy storage. This paper firstly establishes a whole life cycle model applicable to the distribution grid energy storage system, which fully considers the various types of costs of VSC converter stations. Secondly, for comprehensive reactive power optimization, a sequential quadratic programming algorithm is used, and inequality constraints are added to the objective function in the form of penalty functions to optimize the state of on-load transformers and capacitors. Finally, the effectiveness of its distribution grid energy storage configuration optimization is verified by applying the distribution grid energy storage optimization based on the quadratic programming algorithm to electric vehicle charging piles. The results show that after two stages of optimization, the configuration capacity of distribution grid energy storage is increased by 53.14Kw/h compared with that before optimization, which is a substantial increase. The average annual cost of battery 0’ access decreases by 0.275, and battery 2’ access decreases by 0.581. This shows that the energy storage capacity optimization strategy based on the sequential quadratic programming algorithm proposed in this paper can improve the efficiency of energy storage utilization. It provides the basis for the user to select the energy storage capacity.
Civic education reform based on deep reinforcement learning model
Authors: Peng Dan
Published: September 2023

The integration of artificial intelligence technology into education is an inevitable trend of scientific progress and educational reform, and how to use artificial intelligence technology and ideological and political education reform is called a key research direction in the education sector. Aiming at the problems of cold start in personalized recommendation system, lack of interpretability of recommendation results, and ignoring the implicit features of the course for better acceptance of recommendation results by learners, the BPRMF model based on deep learning is proposed to be applied to the problem of recommendation of Civics and Political Science course, which not only models learners’ preferences and combines with course attribute features to generate recommendation rating ranking list and provide personalized recommendation service. Then the study of Civics education reform is conducted, mainly analyzing the change in teaching methods based on big data, machine learning, and deep learning technologies to promote secondary school students. The performance of the BPRMF model is evaluated in comparison with the BPRMF model under different k values. It is concluded that the accuracy rate of the BPRMF model is 8.9%~12.01% higher than UBCF and 8.07%~10.26% higher than IBCF, but with the increase of k value, the recall rate will gradually pull away from other models and optimize the recommendation system to some extent. This study is beneficial to ideological education in the implementation process to better utilize the opportunities, meet the challenges, and develop efficiently.
Research on the cultivation path of craftsmanship in university education based on fuzzy hierarchical analysis
Authors: Ma Xin
Published: September 2023

This paper firstly explores the evaluation method of the level of cultivation of craftsmanship in colleges and universities and decomposes the problem to be analyzed into each component element that affects its goal by using the fuzzy hierarchical evaluation method. The hierarchical structure analysis model is established, and the upper influence factors of each layer are used as the basic criteria to compare each influence factor of the program layer and the criterion layer with each other, and the fuzzy consistency matrix is constructed to determine the relative weights of each divided influence factor. Then, the current situation of the level of cultivation of craftsmanship in college education and the problems of the cultivation mechanism of craftsmanship in colleges and universities were analyzed, and suggestions for improvement were put forward. In terms of the existing problems, 70% of them think that the atmosphere of attaching importance to craftsmanship spirit is insufficient, 80% of them think that the teaching method of craftsmanship spirit is in a single way, and 86% of them think that the excavation of craftsmanship spirit is not deep. In terms of the recognition of craftsmanship spirit, “respecting teachers and respecting morality”, “being willing to devote”, “being rigorous and meticulous”, “inheriting tradition “ and “innovation and creation” are all around 60%, while “excellence”, “love for work”, and “endurance of loneliness” are all around 60%. The approval rate of the artisan spirit of “enduring loneliness” is between 70% and 75%. The research of this paper is of great significance to the cultivation of craftsmanship in universities.
Analysis of the fusion development of traditional culture concept and interior art design based on 3D scene analysis
Authors: Zhu Shuhua
Published: September 2023

In this paper, by collecting a large number of 3D scenes with traditional cultural styles, after pre-processing, the style analysis task of 3D scenes is realized through two stages of model style element discovery and scene style pattern mining. In the style pattern mining stage, the maximum frequent pattern mining algorithm is used to get the style pattern of the final scene, and the part is visualized. To reduce the user’s selection time, a 3D interior layout recommendation system based on style rule mining is designed using collaborative filtering. Based on the previous work on scene style pattern mining, the style association rules are further mined, and the user is provided with candidate layouts and furniture dynamically and in real-time by introducing user interaction. Comparing the text-improved recommendation algorithm with the traditional recommendation algorithm, the accuracy rate of the traditional algorithm starts to saturate to 65% after TopN>20, while the algorithm in this paper is higher than 80%. In the analysis of traditional cultural contexts of interior art, in terms of the aesthetic acquisition, the highest proportion of aesthetic association is 63.7%. In terms of emotional expression, the proportion of symbolization of emotion is 73.1%. In terms of object comparison, the highest proportion of plurality and flexibility of combinations was 57.5%. Therefore, this paper provides good research ideas for how to better integrate traditional culture into interior design.
Exploration and Practice of College English Reading Teaching Reform in the Context of Deep Learning
Authors: Chen Xiaoxia , Ye Bangxiang
Published: September 2023

To improve the quality and effectiveness of learners’ English reading learning, this paper proposes a fuzzy hierarchical analysis method incorporating deviance entropy (DE-FAHP), which improves the differentiation quality of the fuzzy judgment matrix and enhances the accuracy of weight calculation of each influencing factor by introducing deviance entropy model. Finally, the comprehensive difficulty quantification model of English reading comprehension objective questions is determined to provide an efficient and accurate method for calculating the parameters of the subsequent English reading comprehension standardized question bank. Finally, this paper proposes a hybrid testing method that combines CAT’s online grouping technology with MST’s staged presentation of test questions to construct the English reading comprehension adaptive testing system ca-MST. Through system validity testing, students in the experimental class improved more significantly, with only question 20 in the experimental class scoring below 4.0, while most of the scores in the control class were below 4.0. The mean reading score of the experimental class was 76.31, with a standard deviation of 11.16, while the mean reading score of the control class was 69, with a standard deviation of 18.76. The comparison showed that the reading scores of the experimental class taught with the reading comprehension adaptive testing system were higher than those of the control class taught with the traditional model, and the differences within the class were smaller.
Analysis of the evolution of modern Chinese history based on data mining
Authors: Wang Yue
Published: September 2023

In this paper, data mining is proposed to study the evolution of China’s modern history by addressing the problem of incomplete content of the evolution process. The data mining technique mainly preprocesses the data set of Chinese modern history by logistic regression algorithm, and its purpose is to detect the accuracy of the data so as to provide accurate and high-quality data for the data mining process. The process of visualization using information related to the evolution of modern Chinese history and the influence of modern Chinese historical events is applied to the visualization analysis, and the final influence of the evolutionary development of modern Chinese history is obtained and saved to the database by weighting and summing the influence factors of modern Chinese historical figures. The logistic regression algorithm uses modern historical persons and things as input data, and the weights of modern historical persons and things are the predictions carried out by classification. The results show that the highest accuracy is 0.67 when the threshold value is set to 1. The logistic classification model predicts better for the case of weight type 2 of modern Chinese history people and weight type 6 of modern history things. This study makes a certain contribution to the study of modern history so that the study of modern history can gradually move toward completeness and objectivity.