bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengembangan Augmented Reality (AR) Berbasis Android Pada Pembelajaran Pemodelan Bangun Ruang 3D
Authors: Untari Rahmania Sri , Hasanah Fitria Nur , Wardana Mahardika Darmawan Kusuma , Jazuli Muhammad Irfan 
Published: September 2022

<p class="AbstrakCxSpFirst"><strong>Abstract:</strong> The purpose of this research and development is to obtain empirical findings about the development of Android-based Augmented Reality (AR) and measure the effectiveness of using AR to improve problem solving skills in learning 3D spatial modeling at SD Muhammadiyah 3 Surabaya. The development model used is the ADDIE model. Based on the results of validation by material and media experts, it shows that Android-based AR is very good and feasible to be implemented in elementary school students. The average validation result of material experts and experts is 4.9. There is a significant effect between problem solving ability before being given AR treatment and after being given AR treatment. From the interpretation aspect it is 46.4%, the analysis aspect is 27.7%, the inference aspect is 37.9%, the evaluation aspect is 79.5%, the explanation aspect is 89.5%, and the self-regulation aspect is 31. ,5%. The results of research and product development can be categorized as very suitable for use in learning 3D spatial modeling.</p><strong>Abstrak:</strong> Tujuan dari penelitian dan pengembangan ini yaitu untuk mendapatkan temuan empirik tentang pengembangan <em>Augmented Reality</em> (AR) berbasis android dan mengukur efektivitas penggunaan AR untuk meningkatkan kemampuan pemecahan masalah pada pembelajaran pemodelan bangun ruang 3D di SD Muhammadiyah 3 Surabaya. Model pengembangan yang digunakan adalah model ADDIE. Berdasarkan hasil validasi oleh ahli materi dan media menunjukkan bahwa AR berbasis android sangat bagus dan layak untuk diimplementasikan pada siswa Sekolah Dasar. Rata-rata hasil validasi ahli materi dan ahli sebesar 4.9. Terdapat pengaruh yang siginifikan antara kemampuan pemecahan masalah sebelum diberi perlakuan AR dan sesudah diberi perlakuan AR. Ditinjau dari aspek <em>interpretation </em>sebesar 46,4%, aspek <em>analysis</em> sebesar 27,7%, aspek <em>inference</em> sebesar 37,9%, aspek <em>evaluation </em>sebesar 79,5%, aspek <em>explanation</em> sebesar 89,5%, dan pada aspek <em>self-regulation </em>sebesar 31,5%. Hasil penelitian dan pengembangan produk dapat dikategorikan sangat layak digunakan pada pembelajaran pemodelan bangun ruang 3D.
Nilai-Nilai Kekerabatan Dalihan Na Tolu untuk Mengarahkan Meaning of Life Siswa Perantau Beretnis Batak Mandailing Muslim
Authors: Suharto Rachel Devita , Hidayah Nur , Apriani Rizka 
Published: September 2022

Abstract: The Dalihan Na Tolu is a system of kinship that originated from the Muslim Mandailing Batak tribe regulating the life of people. This study aims to identify the role of Dalihan Na Tolu values as the kinship system as the fundamental for Muslim Mandailing Batak nomads students’ meaning of life fulfillment. This qualitative study used the phenomenology design. In collecting the primary data, we used observation and interviews with two Muslim Mandailing Batak nomads students. At the same time, the secondary data were obtained from the parents, siblings, friends, neighbors, and teachers. The data validity was assessed using triangulation on the observation and interview data. Our analysis results suggested that the Muslim Mandailing Batak nomads students’ meaning of life can be observed through three fundamentals of the meaning of life, namely the creativity, belief, and bravery values. The creativity value consists of the Marsitukkol Tukkolan Songon Suhat Di Robean value (asking the siblings to be successful) and Annakon Ki Do Hamoraon Di Au value (vengeance in learning). The belief value subsists of the speech or manner values in talking with the elders and Tua Mi U Jujung-jujung Tilako Mi U Dege-dege (disseminating kindness and covering the evils). Lastly, the behavior value consists of the bravery value.
Abstrak: Dalihan Na Tolu merupakan sistem kekerabatan suku Batak Mandailing Muslim dalam mengatur kehidupan bermasyarakat. Penelitian ini bertujuan untuk mengetahui keterkaitan nilai-nilai Dalihan Na Tolu sebagai sistem kekerabatan dapat menjadi dasar pemenuhan meaning of life siswa perantauan beretnis Batak Mandailing Muslim. Penelitian ini menggunakan pendekatan kualitatif dengan studi fenomenologi. Prosedur pengumpulan data melalui observasi dan wawancara kepada dua orang siswa perantau beretnis Batak Mandailing Muslim sebagai sumber data primer dan sumber data sekunder terdiri dari orang tua, saudara, teman, tetangga, dan guru. Pengecekan keabsahan data pada penelitian ini dilakukan menggunakan triangulasi yang bersumber dari hasil wawancara dan observasi. Hasil penelitian menunjukkan meaning of life siswa perantauan beretnis Batak Mandailing Muslim dapat dilihat dari tiga aspek sebagai landasan meaning of life, yaitu nilai kreatif, nilai keyakinan dan nilai keberanian. Nilai kreatif yang terdiri dari nilai Marsitukkol Tukkolan Songon Suhat Di Robean atau mengajak kerabat untuk sukses dan Annakon Ki Do Hamoraon Di Au atau bersungguh-sungguh dalam belajar. Nilai keyakinan yang terdiri dari nilai tutur atau bertata krama dengan orang tua dan Tua Mi U Jujung-jujung Tilako Mi U Dege-dege atau menyebarkan kebaikan dan menutup keburukan. Nilai sikap yang terdiri dari nilai keberanian.
Trace Elements in Pregnant and Non-pregnant Sheep and Goats and Their Relation to Steroid Hormones
Authors: Derar Derar R. , Ali Ahmed , Almundarij Tariq I. , Abdel-Elmoniem Essam M. , Alhassun Tamim M. , Zeitoun Moustafa 
Published: September 2022

Background: One of the major factors affecting the physiology of pregnancy and reproductive cycle is the trace elements intake and their levels in serum of brood ewes and does. The main objective of this investigation was to study the association between serum concentration of trace elements, ovarian findings, stage of pregnancy and steroid hormones in sheep and goats. Methods: Total of 129 ewes (68 pregnant and 61 non-pregnant) and 54 does (32 pregnant and 22 non-pregnant) were examined clinically and ultrasonographically for pregnancy diagnosis and monitoring the ovarian findings. Pregnant animals were categorized according to the gestational stage into 1 to 2, greater than 2 to 3, greater than 3 to 4 and greater than 4 months. According to the ovarian findings, non-pregnant animals were categorized as having mature corpus luteum (CL), large follicle ( greater than 5 mm) and corpus luteum (CL+F), growing follicles (GF, less than 5.mm) and mature follicle (MF, greater than 5 mm). Animals were bled and serum was harvested and assayed for estrogen (E2), progesterone (P4), manganese (Mn), selenium (Se), iron (Fe) and zinc (Zn) levels. Result: Mn (P=0.01), Fe (P=0.05) and Zn (P=0.001) were lower in pregnant compared with non-pregnant ewes. Fe was significantly higher (P=0.03) in non-pregnant compared with pregnant does at any gestational stage. Ewes with MF had higher Se (P=0.02) and Fe (P=0.001) compared with other ewes. Fe (P=0.001) and Zn (P=0.000) were higher in does having MF compared with other does. A positive association between E2 and serum Fe in non-pregnant ewes (P=0.03) and does (P=0.05) was found. It can be concluded that pregnancy associated with a decrease in serum trace elements in sheep and goats.
Bilangan Kromatik Titik dari Dual Graf Berlian
Authors: Anwar Nurul Hafidhoh , Jauhari Mohammad Nafie , Ismiarti Dewi 
Published: September 2022

A vertex coloring of a graph , is an assigments of colors to the vertices of , such that no two adjacent vertices are assigned the same color. The least number of colors needed for an vertices coloring of a graph is the chromatic number, denoted by . A graph is said to be planar if it can be drawn in the plane so that no edges crossing except at endpoints. A dual graph is constructed from the planar graph. Each region in planar graph can be represented by a vertex of the dual graph. Two vertices are connected if the region represented by these vertices are neugbours and have a common border. A diamond graph denoted by , can be used to model structure networks. In this study, it is shown that the chromatic number of dual diamond graph is χ(〖Br_n〗^* )={█(3,n=2 and n≥4@4,n=3.)┤
Perlindungan Hukum Data Pribadi Pembeli di Perdagangan Secara Elektronik (E-Commerce) di Indonesia [Legal Protection of Buyer's Personal Data in E-Commerce in Indonesia]
Authors: Halim Etania Fajarani 
Published: September 2022

<p><em>The development of technology, especially on information and telecommunication has encouraged the development of online businesses such as e-commerce. Due to the COVID-19 pandemic, people's lifestyles are switching and relying on shopping on e-commerce. The world economy is enormous by changes due to the development of financial, investment, production and trade. With the invention of e-commerce, buying and selling transactions can be carried out anytime and anywhere. However, this can also be used as a double-edged sword, because there are many possible crimes that occur in e-commerce transactions, such as data leakage. The last few years there have been several cases of data leakage. Nevertheless, there has been no resolution because there is no specific law for the protection of personal data. It is advisable to set up specific law for this protection of personal data for buyers who use e-commerce.</em></p><p><strong>Bahasa Indonesia Abstrak: </strong>Perkembangan teknologi, khususnya teknologi informasi telah mendorong perkembangan bisnis daring seperti <em>e-commerce</em>. Adanya Pandemi COVID-19 juga telah mengubah gaya hidup masyarakat menjadi banyak melakukan belanja di <em>e-commerce</em>. Seiring dengan itu, perekonomian dunia mengalami perubahan yang sangat signifikan, baik di bidang finansial, investasi, maupun produksi dan perdagangan. Dengan adanya invensi <em>e-commerce</em>, transaksi jual beli dapat dilakukan kapan dan di mana saja. Namun hal ini juga menjadi pedang bermata dua, karena banyaknya kemungkinan kejahatan dalam transaksi <em>e-commerce,</em> termasuk kebocoran data. Penelitian ini menghasilkan temuan bahwa dalam beberapa tahun terakhir telah terjadi beberapa kasus kebocoran data. Namun tidak ada penyelesaian memadai karena belum ada aturan perlindungan data pribadi. Oleh karena itu, perlindungan hukum atas data pribadi bagi pembeli yang menggunakan <em>e-commerce</em> perlu segera diatur secara memadai.</p>
Translation of preclinical findings: The effect of low intensity repetitive Transcranial Magnetic Stimulation (rTMS) on depression score and biomarkers in patients with major depression
Authors: Leggett Kerry , Hennessy Lauren , McAndrew Mark , Price Greg , Rodger Jennifer 
Published: September 2022

Abstract
Background: Major depressive disorder is one of the most prevalent and costly medical conditions, with approximately 280 million people affected worldwide. It is estimated that 30-60% of individuals suffering from this disorder are treatment-resistant, not responding to psychotherapy or antidepressants. Non-invasive brain stimulation in the form of repetitive transcranial magnetic stimulation (rTMS) is often considered an alternative treatment with response rates of up to 60% in this population. However, outcomes are variable suggesting that treatment protocols remain suboptimal. Current clinical guidelines are poorly defined due to a lack of systematic evaluation when techniques were first developed. Our lab has compared a range of brain stimulation protocols in a preclinical model of treatment-resistant depression and has shown that rTMS delivered at a low intensity matches the behavioural effects obtained from the much higher intensities that are currently approved for the treatment of depression in the clinic. Structural brain changes were also observed at the lower intensity, which may lead to longer lasting beneficial effects as in seen in previous animal studies. It is hypothesised that the same outcomes will translate to patients in a clinical setting.
Methods: Participants will be recruited from patients diagnosed with Major Depressive Disorder. The study will consist of 4 to 6 weeks of treatment comprising 20-30 sessions (weekdays-only) of rTMS to the left dorsolateral prefrontal cortex. A “head-to-head trial” has been established due to ethical considerations and the need to retain the current clinical protocol. Patients will be randomly assigned to the FDA-approved standard protocol or standard protocol plus an additional low intensity stimulation group. In addition, patients will undergo psychological testing and a blood test at baseline, post-treatment and again at a 6-month follow up appointment
Discussion: This study will prospectively evaluate the antidepressant efficacy of a new rTMS parameter. Specifically, we will translate a novel low intensity rTMS protocol and compare its long-term effects to the current FDA-accredited standard protocol. We will also test the validity of blood biomarkers, including those identified in our previous animal studies, to objectively monitor individual’s response to rTMS treatment.
Trial registration: Registered with Australian New Zealand Clinical Trials Registry, prospectively registered 20/11/2018, Registration ACTRN12618001889246.
More than one quarter of Africa's tree cover found outside areas previously classified as forest
Authors: Reiner Florian , Brandt Martin , Tong Xiaoye , Skole David , Kariryaa Ankit , Ciais Philippe , Davies Andrew , Hiernaux Pierre , Chave Jerome , Mugabowindekwe Maurice , Igel Christian , Oehmcke Stefan , Gieseke Fabian , Li Sizhuo , Liu Siyu , Saatchi Sassan , Boucher Peter , Singh Jenia , Taugourdeau Simon , Dendoncker Morgane , Song Xiao-Peng , Mertz Ole , Tucker Compton J. , Fensholt Rasmus 
Published: September 2022

Abstract
The consistent monitoring of trees both inside and outside of forests is key to mitigating climate change. Current monitoring systems either ignore trees outside forests or are too expensive to be applied consistently across countries on a repeated basis. Here we make use of the PlanetScope nanosatellite constellation, which delivers global very high-resolution daily imagery, to map both forest and non-forest tree cover for continental Africa using images from a single year. Our prototype map of 2019 demonstrates that a precise assessment of all tree-based systems is possible at continental scale, and reveals that 29% of tree cover is found outside areas previously classified as tree cover, such as in croplands and grassland. Such accurate mapping of tree cover at metric resolution down to the level of individual trees and consistent among countries has the potential to redefine land use impacts, move beyond the need for forest definitions, build the basis for natural climate solutions, and provide a new scientific basis for tree related studies.
Psychological resilience mediates the association between childhood maltreatment and self-harm phenotype in Chinese early adolescents
Authors: Li Yuan , Li Yong-Han , He Yang , Chen Shan-Shan , Chang Jun-Jie , Yuan Meng-Yuan , Cao Lei-Lei , Wang Shao-Jie , Wang Geng-Fu , Su Pu-Yu 
Published: September 2022

Abstract

Self-harm (SH) increases significantly in early adolescence with great variability, and childhood maltreatment (CM) contributes to this increase. Understanding the developmental pathway from CM to SH could provide clues for SH prevention. This study used latent class analysis (LCA) to detect the phenotype of SH and explored the role of psychological resilience in the pathway from CM to SH phenotype among 5724 early adolescents (52.5% male). Three interpretable phenotypes of SH were identified: low SH (57.8%), medium SH (29.0%), and high SH (13.2%). Furthermore, CM was positively associated with the SH phenotype, psychological resilience mediated the association between CM and the SH phenotype (all ps < 0.01), and a larger mediating effect was observed in the medium SH (22.41%). Our findings offer new perspectives that improving psychological resilience can be used as an efficient intervention to reduce the risk of SH among early adolescents who have experienced CM.
Vaccination against Varicella Zoster Virus in the Spanish ophthalmological community survey. Is it time for a paradigm shift?
Authors: Sánchez-Mellado Alberto , Alcaraz-Clemente Luis , RODRIGUEZ-CALVO-DE-MORA MARINA , Ortiz-Perez Santiago , Rocha-de-Lossada Carlos 
Published: September 2022

Abstract
Background: There are currently two authorized vaccines against Varicella Zoster Virus (VZV) that have proved to be safe and effective in the prevention of VHZ. Ophthalmologists commonly treat Herpes Zoster Ophthalmicus (HZO) and its complications. Therefore, ophthalmologists are indeed in a privileged position to advocate for VZV vaccination. Our aim was to find out the current knowledge among Spanish ophthalmologists regarding the effectiveness of the available vaccines against VZV.Methods: A Google-Forms questionnaire was created and used as the survey platform for this study. It was an anonymous online survey of 16 questions, which was shared among Spanish ophthalmologists-in-training and consultants from April 27th, 2022, to May 25th, 2022. Results: The survey was completed by a total of 206 ophthalmology professionals from all subspecialties. We obtained responses from 17 of the 19 regions of Spain. Fifty-five percent of the respondents agreed that VZV is a frequent cause of vision loss. However, 27% of the professionals were unaware of the existence of vaccines against VZV and 71% of them did not know in which cases it could be indicated. Only 9 ophthalmologists (4%) had ever indicated vaccination against VZV in their patients. Despite this, 93% considered important to recommend vaccination against VZV in case it proved to be safe and effective. Conclusions: Considering the sequelae, complications, and the existence of safe and effective vaccines against VZV, vaccination of the target population could be considered an important public health measure. The time has come for ophthalmologists to take an active role in HZO prevention.
Comparison of proximate composition and thermal properties of Hemp and Flax fibres
Authors: Golam Sarwar AKM , Rahman Md. Atiar , Rahman M. Mostafizur , Nemoto Kazuhiro 
Published: September 2022

Abstract
Along with the apparel or clothing industry, diversified uses of natural lignocellulosic fibre are getting popularity in many fields e.g., composites, automotive, marines, aerospace, electronics, civil construction, nanotechnology, biomedical, etc. The property and uses of textiles are determined by their constituent fibre properties. The proximate composition and thermogravimetric analysis (TGA) data of a total of 9 local hemp and flax genotypes (3 and 6, respectively) were carried out to understand their suitability in different applications. A wide variation was observed in the ash content of hemp and flax fibres varied from 1.7 to 17.7%, Crude protein 3.27 to 9.02%, crude fibre 26.51 to 55.32%, ether extract 2.6 to 20.9% and energy value 284.44 to 383.96 kcal 100− 1 g. In TGA analysis, all the fibres showed a similar trend. The flax genotypes contain lower ash and ether extract and higher DM, crude carbohydrate and crude fibre than hemp genotypes. Therefore, flax could be used in the lightweight composite, textile, pulp and cellulose-based industries. The hemp fibre had higher ash which was reflected by a higher residue at 500 0C in TGA analysis. To understand the viability of these flax fibres, further investigations are needed.
Atomized droplet size prediction for supersonic atomized water drainage and natural gas extraction
Authors: Liu Chengting , He Liang 
Published: September 2022

Abstract
In the late stage of natural gas reservoir exploitation, the energy of the gas reservoir decreases sharply, the wellbore pressure decreases, the liquid accumulation is serious, and the natural gas production decreases sharply. The influence of gas working parameters on the atomization effect and liquid carrying rate was established, and the physical model of the new atomizing nozzle was established. Through laboratory experiments, the experimental parameters of gas flow rate, liquid phase flow rate, liquid phase inlet diameter and average droplet diameter SMD were obtained. Then the BP neural network atomization model optimized by genetic algorithm is established, and the Matlab is used to train the 45 groups of data sets before the experiment. After the model training, the normalized atomization parameters are trained for sensitivity analysis. The relationship between the strength and strength of the factors affecting SMD is as follows: gas flow > liquid inlet diameter > liquid phase flow. The last 15 sets of data sets outside the training samples were tested by BP and GA-BP model, and the size of SMD was predicted. The experimental results show that the determination coefficient R2 of the established GA-BP network model to the experimental parameters is 0.979 and the goodness of fit is high; the MSE, MAE and MAPE of the predicted value of GA-BP atomization model and the experimental value are 4.471, 1.811 and 0.031 respectively, the error is small, the prediction accuracy is high, and the establishment of the model is accurate. The GA-BP model plays an important role in setting the working condition parameters and predicting the droplet size, and has a certain guiding significance for solving the problem of wellbore fluid accumulation and improving the drainage efficiency.
SVMs-SKSM: Protein Function Multi-label Classification based on SVM-SVM classifiers Fusion and sequences kernel similarity matrix
Authors: Gao Ruibo , Ye Kang 
Published: September 2022

Abstract
Background: The assignment of function to proteins at a large scale is essential for understanding the molecular mechanism of life. However, in UniProtKB, only a very small percentage of the proteins have Gene Ontology (GO) annotations supported by experimental evidence, and some proteins may be performing different reactions and can hence be directly associated with multiple functions. Methods: To achieve more accurate classification, in this paper, we propose a multilabel classification method based on SVM-SVM classifiers fusion strategy and sequences kernel similarity matrix (named SVMs-SKSM). Firstly, we employ position specific scoring matrix (PSSM) and Gaussian Kernel similarity to get the similarity information between sequences, and introduce deep autoencoders to obtain structures interaction information. Secondly, we obtain the class probabilities features of sequences by the maximum similarity probability, and gain the class probabilities features of structures by SVM classifier. Lastly, we fuse the two class probabilities by the linear combination, and input the fused probabilities into a multi-label SVM to classify. Results: The experimental results indicate that the proposed method achieves superior performance with the accuracy of 40.7%, 34.2% and 44.5% in Level1, Level2and Level3 of yeast networks, and 54.6%, 54.4% and 57.1% in MF[101-300], BP[101-300]and CC[101-300] of human networks.Conclusions: In future work, we will consider improving feature extraction as well as building advanced prediction models to achieve higher prediction accuracy.