bluuebunny/crossref_metadata_2025 huggingface dataset:
Praktik Pendidikan Inklusif di Sekolah Dasar
Authors: Arifin Fatkhul , Supena Asep , Yufiarti Yufiarti
Published: April 2023

Peraturan pemerintah mengharuskan setiap sekolah menerima anak berkebutuhan khusus setidaknya 10% dari jumlah penerimaan siswa. Tentu harus ada kesiapan dari sekolah, baik dari kesiapan guru, fasilitas dan kurikulum dalam pembelajaran. Tujuan dari penelitian ini adalah ingin mengetahui sejauh mana kesiapan sekolah dalam melaksanakan Pendidikan inklusi di sekolah dasar. Metode penelitian yang digunakan dalam penelitian ini adalah kualitatif analisis dekriptif. Sample yang digunakan dalam penelitian ini adalah salah satu sekolah dasar negeri yang berada di wilayah Depok. Instrumen yang digunakan berupa observasi, wawancara dan dokumentasi. Data yang didapat kemudian dideskripsikan dan dikaji lebih mendalam dengan mengaitkan teori terkait dengan Pendidikan inklusif. Hasil penelitian menunjukkan bahwa pelaksanaan program Pendidikan inklusi berjalan dengan baik. Proses penerimaan dilakukan dengan seleksi yang ketat, pembelajaran dilaksanakan dengan media dan bahan ajar ABK disesuaikan, instrument penilaian yang digunakan dirancang untuk siswa ABK. Sehingga kesimpulan dari penelitian ini adalah pelaksanaan program Pendidikan inklusi yang dilaksanakan pada sekolah dasar negeri dilaksanakan dengan baik, hanya saja butuh dukungan dari semua pihak, terutama pemerintah yang memfasilitasi sekolah untuk Pendidikan inklusi, jumlah guru pendamping khusus dan tentunya orang tua.
Community and Local Government Synergy in Building Regional Cultural Validation
Authors: Harianto II Harianto II , Zulfitri Zulfitri , Amin Teguh Satria
Published: April 2023

Cultural diversity in Indonesia is one of the charms that this equatorial country has. And of course this cultural diversity must be preserved so that it does not become extinct and is also lost in foreign cultures that enter Indonesia in this era of globalization. In managing this culture, of course the local government, the community, and the customary institutions formed in the midst of the community must work together and synergize to carry out cooperation to preserve culture. And the research conducted this time is to describe and also analyze the implementation of synergy, supporters and also obstacles to community and local government cooperation to build regional cultural validation. This study used descriptive qualitative method. The synergy of the local government and the community in carrying out cultural preservation can be seen from several factors such as programs, implementers, to facilities and infrastructure. This form of cooperation and synergy is expected to provide positive results for regional cultural validation as well as social change in society. Other supporting factors are regulations that are easy to apply in the community environment and also the application of principles and also regulatory provisions. The inhibiting factors themselves are human resource capacity and also the problem of conversion areas and also regional autonomy.
Pengembangan Bahan Ajar Sejarah Lokal Kalimantan Barat Berbasis E-Modul
Authors: Chalimi Ika Rahmatika
Published: April 2023

Based on the results of the needs analysis, the learning conditions of local history are still not optimal. The teacher still focus on learning general history and has not been maximized in teaching local history material limited spesific learning resources. Problems of a local history learning can be solved through the development of e-module-based teaching materials designed to facilitate students to learn independently. This development research was created in an effort to assist teachers in teaching local history through e-module-based teaching materials with the application Adobe Flash CS version 6. The e-module-based teaching material design consists of a title page, table of contents, basic competency information, introduction to e-modules, scope, learning objectives, learning materials, evaluations and bibliography. The initial validation test of local history e-module products is carried out with media experts and local history material experts. After the expert validation test it was stated to be advanced, then a small-scale and large-scale feasibility test was carried out at the SMAN 6 Pontianak. The evaluation of local history teaching materials based on e-modules can be said to be feasible but there are a number of things that must be revised to be products that can be implemented in the classroom.

Keywords: development, e-module-based teaching materials, local history.   

Berdasarkan hasil analisis kebutuhan, kondisi pembelajaran sejarah lokal masih belum optimal. Guru masih berfokus pada pembelajaran sejarah secara umum dan belum maksimal dalam mengajarkan materi sejarah lokal dengan keterbatasan sumber belajar yang spesifik. Permasalahan pembelajaran sejarah lokal tersebut dapat diatasi melalui pengembangan bahan ajar berbasis e-modul yang dirancang untuk memfasilitasi siswa belajar secara mandiri. Penelitian pengembangan ini dibuat sebagai upaya untuk membantu guru dalam mengajarkan sejarah lokal melalui bahan ajar berbasis e-modul dengan aplikasi Adobe Flash CS versi 6. Desain bahan ajar berbasis e-modul terdiri dari halaman judul, daftar isi, informasi kompetensi dasar, pengantar e-modul, ruang lingkup, tujuan pembelajaran, materi pembelajaran, evaluasi dan daftar pustaka. Uji validasi awal produk e-modul sejarah lokal dilakukan dengan ahli media dan ahli materi sejarah lokal. Setelah uji validasi ahli dinyatakan layak untuk dilanjutkan, kemudian dilakukan uji kelayakan skala kecil dan skala besar di SMAN 6 Pontianak. Hasil evaluasi bahan ajar sejarah lokal berbasis e-modul dapat dikatakan layak namun ada beberapa hal yang harus direvisi untuk menjadi produk yang dapat diimplementasikan di kelas.

Kata kunci: pengembangan, bahan ajar berbasis e-modul, sejarah lokal.
Kunci Sukses Peningkatan Jumlah Dosen Tersertifikasi pada Perguruan Tinggi XYZ
Authors: Luciana Occe
Published: April 2023

Ketika dosen melaksanakan tugas, mereka tidak terlepas dari pengurusan jenjang karier. Pencapaian karier ini diraih melalui pelaksanaan kewajiban tridharma. Selanjutnya kinerja tersebut didokumentasikan pada sebuah aplikasi agar periode berikutnya bagi dosen yang memiliki jabatan fungsional paling awal yaitu Asisten Ahli (AA), dapat diusulkan sebagai peserta serdos. Serdos adalah salah satu karier yang wajib ditempuh oleh dosen ber-jabatan fungsional. Adalah sebuah perguruan tinggi swasta yang telah berdiri puluhan tahun dan meraih akreditasi B namun jumlah dosen bersertifikatnya masih belum signifikan, maka dilakukanlah penyelidikan oleh peneliti untuk memperoleh jawaban penyebab minimnya jumlah dosen serdos sekaligus untuk mendapatkan penanggulangannya. Bahasan kajian berdasar pada hasil wawancara dan observasi di lembaga tersebut setelah menelaah data dosen yang diperoleh dari bagian akademik kampus. Data terkumpul selanjutnya dinarasikan menggunakan metode kualitatif. Hasil wawancara menunjukkan bahwa dosen memiliki kesibukan tugas lain sehingga tidak cukup waktu untuk menulis karya ilmiah, dosen juga belum begitu memahami penggunaan aplikasi untuk menyimpan data kinerjanya, dan dosen masih dalam proses penyesuaian pelaksanaan tri dharma perguruan tinggi. Sehingga solusinya diperlukan sebuah perubahan pada diri dosen sendiri berupa perubahan pola berpikir bahwa dosen adalah profesi dirinya dengan segala kewajibannya. Adapun pihak lembaga, diharapkan melakukan evaluasi kinerja dosen secara berkala, dan memastikan kesiapan tenaga administrasi dalam mengurus karier dosen.
Inhibition of circ_0000231 suppresses oxidized low density lipoprotein-induced apoptosis, autophagy and inflammation in human umbilical vein endothelial cells by regulating miR-590-5p/PDCD4 axis
Authors: Lin Haiyan , Gao Da , Wang Shengjie , Wang Zicheng , Guan Haiwang , Wang Yanwei , Zhou Ying
Published: April 2023

BACKGROUND: Circular RNAs (circRNAs) are the emerging informative RNAs, involved in cardiovascular diseases including atherosclerosis (AS). Endothelial injury is the initial qualitative change of AS. Thus, the objective of this study was to confirm the dysregulation and mechanism of circ_0000231 in cell model of AS at early stage in human umbilical vein endothelial cells (HUVECs) induced by oxidized low-density lipoprotein (ox-LDL). METHODS: The expression of circ_0000231, miR-590-5p and programmed cell death 4 (PDCD4) was detected using real-time quantitative PCR and western blot. Cell injury was measured with MTT, flow cytometry, caspase-3 activity assay and enzyme-linked immunosorbent assay (ELISA). The interaction among circ_0000231, miR-590-5p and PDCD4 was validated by dual-luciferase reporter assay, RNA immunoprecipitation (RIP) and pull-down assays. RESULTS: Stress ox-LDL decreased cell viability, and increased apoptosis rate and caspase-3 activity in HUVECs in a dose- and time-dependent manner in concomitant with promotions of interleukin-6, interleukin-1β, tumor necrosis factor-α, LC3-II/I and Beclin-1 levels. Besides, circ_0000231 and PDCD4 expressions were upregulated, and miR-590-5p was downregulated in ox-LDL-stimulated HUVECs. Functionally, knockdown of circ_0000231 and overexpression of miR-590-5p could suppress ox-LDL-elicited above effects on apoptosis, autophagy and inflammatory response, accompanied with PDCD4 downregulation. Physically, miR-590-5p could directly interact with circ_0000231 and PDCD4. CONCLUSION: Downregulation of circ_0000231 suppresses HUVECs from ox-LDL-induced injury partially through regulating miR-590-5p/PDCD4 axis via competing endogenous RNA mechanism, showing a novel potential target for the pathology and treatment of endothelial injury in AS.
SUWAN: A supervised clustering algorithm with attributed networks
Authors: Santos Bárbara , Campos Pedro
Published: April 2023

An increasing area of study for economists and sociologists is the varying organizational structures between business networks. The use of network science makes it possible to identify the determinants of the performance of these business networks. In this work we look for the determinants of inter-firm performance. On one hand, a new method of supervised clustering with attributed networks is proposed, SUWAN, with the aim at obtaining class-uniform clusters of the turnover, while minimizing the number of clusters. This method deals with representative-based supervised clustering, where a set of initial representatives is randomly chosen. One of the innovative aspects of SUWAN is that we use a supervised clustering algorithm to attributed networks that can be accomplished through a combination of weights between the matrix of distances of nodes and their attributes when defining the clusters. As a benchmark, we use Subgroup Discovery on attributed network data. Subgroup Discovery focuses on detecting subgroups described by specific patterns that are interesting with respect to some target concept and a set of explaining features. On the other hand, in order to analyze the impact of the network’s topology on the group’s performance, some network topology measures, and the group total turnover were exploited. The proposed methodologies are applied to an inter-organizational network, the EuroGroups Register, a central register that contains statistical information on business networks from European countries.
Self-training algorithm based on density peaks combining globally adaptive multi-local noise filter
Authors: Li Shuaijun , Lu Jia
Published: April 2023

Self-training algorithm highlights the speed of training a supervised classifier through small labeled samples and large unlabeled samples. Despite its long considerable success, self-training algorithm has suffered from mislabeled samples. Local noise filters are designed to detect mislabeled samples. However, two major problem with this kind of application are: (a) Current local noise filters have not treated the spatial distribution of the nearest neighbors in different classes in much detail. (b) They are being disadvantaged when mislabeled samples are located in overlapping areas of different classes. Here, we develop an integrated architecture – self-training algorithm based on density peaks combining globally adaptive multi-local noise filter (STDP-GAMLNF), to improve detecting efficiency. Firstly, the spatial structure of the data set is revealed by density peak clustering, and it is used for empowering self-training to label unlabeled samples. In the meantime, after each epoch of labeling, GAMLNF can comprehensively judge whether a sample is a mislabeled sample from multiple classes or not, and it will reduce the influence of edge samples effectively. The corresponding experimental results conducted on eighteen UCI data sets demonstrate that GAMLNF is not sensitive to the value of the neighbor parameter k, and it is capable of adaptively finding the appropriate number of neighbors of each class.
Evolutionary algorithms based on oversampling techniques for enhancing the imbalanced credit card fraud detection
Authors: Korkoman Malak Jalwi , Abdullah Monir
Published: April 2023

Online services have advanced to the point where they have made our lives much easier, but many problems should be solved to make these services safer for consumers. Numerous transactions are conducted daily, and much personal information is published and shared on e-commerce and social media platforms. This makes security, privacy, and problematic reliability barriers to overcome. One of these problems is detecting credit card fraud because thieves aim to make all transactions legitimate by stealing credit card information. Imbalanced data is a potential problem in machine learning that impairs the performance of the classifiers used in real-world systems. For example, anomaly detection and fraudulent transactions. The term “data imbalance” refers to the problem in which the sample distribution is skewed or skewed towards a particular class. Due to its inherent nature, the software failure prediction dataset falls into the same category as non-defective software modules. The main objective of this paper is to solve the problem of the imbalanced fraud credit card dataset for enhancing the detection accuracy of using machine learning algorithms. This paper provides a unique fraud detection model using the Particle Swarm Optimization (PSO) based on oversampling technique of the minority class to solve the imbalanced dataset problem compared with the Genetic Algorithm (GA) technique. Random Forest (RF) algorithm shows up with sensitivity, specificity, and accuracy. The experimental results achieved 99.3% and 99.4% for GA and PSO within seconds, respectively. Experiments show that the proposed methods outperform other methods, evidenced by the higher classification accuracy obtained.
The capacitated location problem of precast concrete component factory
Authors: Yanhu Han , Huimin Xin
Published: April 2023

The location and capacity of precast concrete component factories (PC component factories) are not only the key factors for manufacturers to gain competitive advantage, but also the important factors affecting the operational efficiency of the prefabricated construction supply chain. This paper takes the capacitated location problem of PC component factories as the research object. Drawing on the model of traditional capacitated plant location problem, the model of capacitated location problem of PC component factories is constructed by setting the optional production scale by stages. According to the characteristics of this model, the optimal strategy of location is determined by using the Tabu search algorithm. Taking the location problem of PC component factory in the Beijing-Tianjin-Hebei region as the object, the calculation example is designed, in which the influence of the distance parameters on the results of location problem is analyzed. The results can make the configuration of regional PC component factories more reasonable and balanced.
Fermatean fuzzy multi-criteria group decision making approach based on reliability of decision information
Authors: Wang Weize , Feng Yurui
Published: April 2023

There are various uncertainties in the multi-criteria group decision making (MCGDM) process, including the definition of the importance of decision information and the assignment of criterion assessment values, etc., which cause decision makers to be unconfident in their decisions. In this paper, an MCGDM approach based on the reliability of decision information is proposed in Fermatean fuzzy (FF) environment, allowing a decision to be made with confidence that the alternative chosen is the best performing alternative under the range of probable circumstances. First, we prove that the FF Yager weighted averaging operator is monotone with respect to the total order and note the inconsistency between the monotonicity of some FF aggregation operators and their application in MCGDM. Second, we extend the divergence measure of FFS to order σ for calculating the variance of decision information and accordingly develop an exponential FF entropy measure to measure the uncertainty of decision information. Then, the reliability of decision information is defined, which accounts for the degree of variance of decision information across criteria from the criterion dimension and the uncertainty of the decision information from the alternative dimension. Following that, an integrated MCGDM framework is completed. Finally, the applications to a numerical example and comparisons with previous approaches are conducted to illustrate the validity of the established approach.
Data hiding steganography model based on hyper chaos 2D compressive sensing inhabited with manchester encoder/decoder using circular queue exploiting modification direction
Authors: Upendra Raju K. , Amutha Prabha N.
Published: April 2023

Reversible data hiding (RDH) based on Steganography is considered as one of the future related aspects in the field of security for the information hiding paradigm. Existing research work has been carried out based on secure data transmission as well as reducing the dataloss from one user to other users. But due to encryption data expansion over non-linear transformation, complexity in attacking caused due to keyspace, ineffective image compression, poor embedding ratio, poor quality, overflow/underflow problems, data loss etc., leads to inefficient data transmission causing a security risk. This paper proposes a novel method named Triple Secured Data Hiding Steganography Model which provides solutions to the above challenges. This work is initiated with Hyper Chaos 2D Compressive Sensing that performs image compression and encryption simultaneously. It provides control over low dimension chaos system bearing secure risks with suffering from data encrypted expansion while adopt non-linear transformation. In addition to reduce the error rate and providing signal synchronization as well as system reliability over the transmission channel, Manchester Encoder/Decoder is initiated. To cope up with data embedding and extraction our work has proposed Circular Queue Exploiting Modification Direction(CQEMD). Thus, overall proposed model enhances effective secure data transmission under RDH by inhabiting a triple secured system.
Research on 3D reconstruction method of cattle face based on image
Authors: Weng Zhi , He Dongchang , Zheng Yan , Zheng Zhiqiang , Zhang Yong , Gong Caili
Published: April 2023

As the basis of intelligent breeding management and animal husbandry insurance, the identification of individual cattle is important in animal husbandry management. Given the difficulty of data acquisition caused by the non-rigid and lacking cooperation of cattle, this study proposes a method for cattle face image acquisition and processing that can efficiently adapt to the harsh environment of cattle barns. When processing the non-rigid cow face, the method of approximating the cow face to a rigid body is used to establish the cow face image data set., and the cattle face image data set is established. The Three Dimensional(3D) reconstruction method of cattle face uses a 3D image reconstruction method based on multiple perspectives. First, the scale-invariant feature transform algorithm is used to extract the image feature points. The fast library for approximate nearest neighbors algorithm is used to match feature points. The matching results are selected via random sampling consensus. Second, the structure of the motion method is used for the sparse reconstruction of point clouds, and the dense point cloud is then generated using the three-dimensional multi-view stereo vision algorithm. Finally, the Poisson surface reconstruction method is used for surface reconstruction. The results indicate that this method can effectively realize the three-dimensional reconstruction of cattle faces; the reconstructed images have obvious color, clear texture, and complete shape features.
Investigating the use of fuzzy logical data for evaluating the teaching quality of college teachers
Authors: Liu Lin , Yang Lijun
Published: April 2023

The level of education in colleges is career and development-focused compared to that from high schools. Quality education relies on the teachers’ qualifications, knowledge, and experience over the years. However, the demand for technical and knowledge-based education is increasing with the world’s demands. Therefore, assessing the knowledge of teaching professionals to meet external demand becomes mandatory. This article introduces an Acceded Data Evaluation Method (ADEM) using Fuzzy Logic (FL) for teaching quality assessment. The proposed method inputs the teachers’ skills and students’ productivity for evaluation. The teachers’ knowledge and updated skills through training and self-learning are the key features for evaluating the independents’ performance. The impact of the above features on the student qualifying ratio and understandability (through examination) are analyzed periodically. Depending on the qualifications and performance, the teachers’ knowledge update is recommended with the new training programs. In this evaluation process, fuzzy logic is implied for balancing and identifying the maximum validation criteria that satisfy the quality requirements. The recommendations using partial and fulfilled quality constraints are identified using the logical truth over the varying assessments. The proposed method is analyzed using the metrics evaluation rate, quality detection, recommendations, evaluation time, and data balancing.
Modified Taxonomy method for double-valued neutrosophic number MADM and applications to physical education teaching quality evaluation in colleges and universities
Authors: Rao Juan , Peng Ling , Rao Jingjing , Cao Xiaofen
Published: April 2023

The evaluation of college physical education (PE) teaching quality is an indispensable part of the teaching process. Building a scientific, comprehensive, reasonable and effective evaluation system is crucial to improving the quality of college PE classroom teaching. This process is not easy, and requires long-term efforts and persistence. The PE teaching quality evaluation in Colleges and Universities is frequently viewed as the multiple attribute decision making (MADM) issue. In such paper, Taxonomy method is designed for MADM under double-valued neutrosophic sets (DVNSs). First, the score function of DVNSs and Criteria Importance Through Intercriteria Correlation (CRITIC) method is used to derive the attribute weights. Second, then, the optimal choice is obtained through calculating the smallest double-valued neutrosophic number (DVNN) development attribute values from the DVNN positive ideal solution (DVNNPIS). Finally, a numerical example for PE teaching quality evaluation is given to illustrate the built method.
Quantitative Sleep Electroencephalogram in Parkinson’s Disease: A Case-Control Study
Authors: Memon Adeel A. , Catiul Corina , Irwin Zachary , Pilkington Jennifer , Memon Raima A. , Joop Allen , Wood Kimberly H. , Cutter Gary , Miocinovic Svjetlana , Amara Amy W.
Published: April 2023

Background:

Sleep disorders are common in Parkinson’s disease (PD) and include alterations in sleep-related EEG oscillations.

Objective:

This case-control study tested the hypothesis that patients with PD would have a lower density of Scalp-Slow Wave (SW) oscillations and higher slow-to-fast frequencies ratio in rapid eye movement (REM) sleep than non-PD controls. Other sleep-related quantitative EEG (qEEG) features were also examined, including SW morphology, sleep spindles, and Scalp-SW spindle phase-amplitude coupling.

Methods:

Polysomnography (PSG)-derived sleep EEG was compared between PD participants ( n = 56) and non-PD controls ( n = 30). Following artifact rejection, sleep qEEG analysis was performed in frontal and central leads. Measures included SW density and morphological features of SW and sleep spindles, SW-spindle phase-amplitude coupling, and spectral power analysis in Non-REM (NREM) and REM. Differences in qEEG features between PD and non-PD controls were compared using two-tailed Welch’s t-tests, and correction for multiple comparisons was performed per the Benjamini-Hochberg method.

Results:

SW density was lower in PD than in non-PD controls (F = 13.5, p’ = 0.003). The PD group also exhibited higher ratio of slow REM EEG frequencies (F = 4.23, p’ = 0.013), higher slow spindle peak frequency (F = 24.7, p’ < 0.002), and greater SW-spindle coupling angle distribution non-uniformity (strength) (F = 7.30, p’ = 0.034).

Conclusion:

This study comprehensively evaluates sleep qEEG including SW-spindle phase amplitude coupling in PD compared to non-PD controls. These findings provide novel insights into how neurodegenerative disease disrupts electrophysiological sleep rhythms. Considering the role of sleep oscillatory activity on neural plasticity, future studies should investigate the influence of these qEEG markers on cognition in PD.
Radiomics of contrast-enhanced spectral mammography for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer
Authors: Zhang Kun , Lin Jun , Lin Fan , Wang Zhongyi , Zhang Haicheng , Zhang Shijie , Mao Ning , Qiao Guangdong
Published: April 2023

BACKGROUND: Neoadjuvant chemotherapy (NAC) has been regarded as one of the standard treatments for patients with locally advanced breast cancer. No previous study has investigated the feasibility of using a contrast-enhanced spectral mammography (CESM)-based radiomics nomogram to predict pathological complete response (pCR) after NAC. OBJECTIVE: To develop and validate a CESM-based radiomics nomogram to predict pCR after NAC in breast cancer. METHODS: A total of 118 patients were enrolled, which are divided into a training dataset including 82 patients (with 21 pCR and 61 non-pCR) and a testing dataset of 36 patients (with 9 pCR and 27 non-pCR). The tumor regions of interest (ROIs) were manually segmented by two radiologists on the low-energy and recombined images and radiomics features were extracted. Intraclass correlation coefficients (ICCs) were used to assess the intra- and inter-observer agreements of ROI features extraction. In the training set, the variance threshold, SelectKBest method, and least absolute shrinkage and selection operator regression were used to select the optimal radiomics features. Radiomics signature was calculated through a linear combination of selected features. A radiomics nomogram containing radiomics signature score (Rad-score) and clinical risk factors was developed. The receiver operating characteristic (ROC) curve and calibration curve were used to evaluate prediction performance of the radiomics nomogram, and decision curve analysis (DCA) was used to evaluate the clinical usefulness of the radiomics nomogram. RESULTS: The intra- and inter- observer ICCs were 0.769–0.815 and 0.786–0.853, respectively. Thirteen radiomics features were selected to calculate Rad-score. The radiomics nomogram containing Rad-score and clinical risk factor showed an encouraging calibration and discrimination performance with area under the ROC curves of 0.906 (95% confidence interval (CI): 0.840–0.966) in the training dataset and 0.790 (95% CI: 0.554–0.952) in the test dataset. CONCLUSIONS: The CESM-based radiomics nomogram had good prediction performance for pCR after NAC in breast cancer; therefore, it has a good clinical application prospect.
Artificial Intelligence and Digital Technologies in the Future Education
Authors: Voskoglou Michael
Published: April 2023

Artificial Intelligence (AI) is the branch of Computer Science that focuses on the theory and practice of creating “smart” devices mimicking human reasoning and behavior. The introduction of the techniques of AI to Education has brought significant benefits to the teaching and learning, to student and teacher assessment and training and to several other educational processes. The present paper focuses on the role that AI and the digital technologies play for Education in the forthcoming era of the Fourth Industrial Revolution, which, under normal conditions, is expected to lead humanity to an era of nearly free energy, goods and services. Thepaper discusses the benefits and limitations of the introduction of techniques of AI in Education. Namely, the role of computers isinvestigated and the expediency of teaching principles of Soft Computingin Education is studied. The advantages and disadvantages of e-learningwith respect to the traditional learning theories and teaching methods are examined, with a special focus on connectivism, a new learning theory in the digital era. The possible role of social robots and the new role of the teacher in future education are also studied and the paper closes with the final conclusions.
The equality agenda: a clear case of smoke and mirrors
Authors: Canning Una
Published: April 2023

In his book _The madness of crowds: gender, race and identity_ the author Douglas Murray (2020) suggests that much of contemporary society is obsessed with a particular idea of diversity and equality that is all encompassing and all consuming. He argues this obsession is propagated: ‘from the top of government and through almost every institution in our societies today’ and is written into all employment law and employment policies. Embedded also in current social policy, it is a view, he argues, that propagates the belief that ‘everybody is the same above the neck’ and that: ‘everybody is equal and […] given the right encouragement and opportunity, everybody can be whatever they want; that life is entirely about environment, opportunity, and privilege.’ In this work I trace the broad outline of the emerging equality agenda as it occurred in America and the UK with a particular emphasis on Northern Ireland and argue Murray (2020) is wrong in his assessment. The work highlights the differences between the two countries and claims equality of opportunity, understood here as improved education, healthcare, childcare etc. and equality of outcome, are more rhetoric than reality.
Evidence-Based Cosmology — Black holes as rejuvenating systems of the universe
Authors: Šorli Amrit , Gorjup Rado , Čelan Štefan
Published: April 2023

A bijective analysis is confirming, the expansion of universal space has never been directly observed, and this assumption is unproven thus far. The measurement of the gravitational redshift, which was confirmed using the Mossbauer experiment, proves only the gravitational redshift and nothing more because there is no causality between the gravitational redshift and hypothetical expansion. Thus, even if the universal space is assumed to expand, the gravitational redshift cannot be assumed to be proof of the expansion. In addition, the Doppler effect was never observed in an expanding space; thus, the claim that the cosmological redshift is partially caused by the Doppler effect, which is caused by the expansion of space, is an unproven assumption. Furthermore, the discovery of cosmic microwave background (CMB) radiation simply proves that the radiation is emitted by the entire universal space, but does not prove the existence of a recombination period. In evidence-based cosmology, every element in the model has a corresponding element in physical reality that is observed and measured. The evidence-based cosmology model is related to the real universe by a bijective function of set theory. Supermassive black holes in the centre of galaxies are rejuvenating systems of the universe. They rotate their local superfluid space which is the physical origin of galactic rotation curves.
Brain Mapping in Neurosurgery
Authors:   Department of Neurosurgery, School of Medicine, Skull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran, Sharifi Guive , Rahmanian Abdolkarim ,   Department of Neurosurgery, Namazi Teaching Hospital, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran, Bemana Ghahreman ,   Department of Physical Medicine and Rehabilitation, Jahrom University of Medical Sciences, Jahrom, Iran, Kalani Navid ,   Department of Anesthesiology, Critical Care and Pain Management Research Center, Jahrom University of Medical Sciences, Jahrom, Iran, Kazeminezhad Ali ,   Department of Neurosurgery, Peymanieh Hospital, Jahrom University of Medical Sciences, Jahrom, Iran
Published: April 2023

Background and Aim: Brain mapping is the study of the anatomy and function of the Central Nervous System (CNS). Brain mapping has many techniques and these techniques are permanently changing and updating. From the beginning, brain mapping was invasive and for brain mapping, electrical stimulation of the exposed brain was needed. However, nowadays brain mapping does not require electrical stimulation and often does not require any complex involvement of patients. To perform brain mapping, functional and structural neuroimaging has an essential role. The techniques for brain mapping include noninvasive techniques (structural and functional magnetic resonance imaging [fMRI], diffusion MRI [dMRI], magnetoencephalography [MEG], electroencephalography [EEG], positron emission tomography [PET], near-infrared spectroscopy [NIRS] and other non-invasive scanning techniques) and invasive techniques (direct cortical stimulation [DCS] and intracarotid amytal test [IAT] or wada test). Methods and Materials/Patients: This is a narrative study on brain mapping in neurosurgery. To provide up-to-date information on brain mapping in neurosurgery, we precisely reviewed brain mapping and neurosurgery articles. Using the keywords “brain mapping”, “neurosurgery”, “brain mapping techniques”, and “benefits of brain mapping”, all of the related articles were obtained from Google Scholar, PubMed, and Medline and were precisely studied. Results: To perform an effective and safe neurosurgical intervention, precise information about the structural and functional anatomy of the brain is obligatory. Based on the information on brain mapping, the selection of suitable patients for the operation, the plan of appropriate operative approach, and good surgical results can be acquired. To provide this information, we can use brain mapping techniques that were formerly applied in neuroscientific brain mapping efforts with noninvasive techniques, such as fMRI, MEG, dMRI, PET, etc and invasive techniques, such as DCS, IAT, etc. Conclusion: Functional brain mapping is a constantly evolving fact in neurosurgery. All stages in obtaining a functional image are complex and need knowledge of the basic physiologic and imaging features.
Impacto de la pandemia por SARS-CoV-2 en los pacientes que acuden a urgencias de pediatría por problemas de salud mental
Authors: Merino-Hernández Amaia , Jové-Blanco Ana , Palacios-Bermejo Andrea , Rodríguez-Represa Javier , Ferrero García-Loygorri Clara , Vázquez-López Paula
Published: April 2023

El confinamiento instaurado durante la pandemia por SARS-CoV-2 y el efecto del virus en la población podrían suponer un factor precipitante para trastornos de salud mental en la población infantil. Objetivo: Comparar los motivos de consulta, diagnósticos al alta, tasa de ingreso y reconsulta de pacientes pediátricos que acuden al Servicio de Urgencias por trastornos de salud mental antes y después del confinamiento por SARS-CoV-2. Pacientes y Método: Estudio descriptivo, retrospectivo. Se incluyeron pacientes menores de 16 años con motivos de consulta relacionados con salud mental durante los periodos preconfinamiento (01/07/2018-01/07/2019) y postconfinamiento (01/07/2020- 01/07/2021). Se comparó la frecuencia de diagnósticos de salud mental, necesidad de inicio de fármacos, de hospitalización y de reconsultas. Resultados: Se incluyeron 760 pacientes (399 preconfinamiento y 361 postconfinamiento). Tras el confinamiento se observó un aumento del 45,7% en la frecuencia de consultas relacionadas con salud mental respecto al total de consultas de urgencias. La alteración del comportamiento fue el motivo de consulta más frecuente en ambos grupos (34,3% vs. 36,6%, p = 0,54). En el periodo postconfinamiento aumentaron significativamente las consultas relacionadas con intentos autolíticos (16,3% vs. 24,4%, p < 0,01) y el diagnóstico de depresión (7,5% vs. 18,5%, p < 0,01). Se objetivó un aumento del 58,8% en los pacientes que ingresaron respecto al total de pacientes que acudieron a urgencias (0,17% vs. 0,27%, p = 0,003) y un aumento del número de reconsultas (12% vs. 17,8%, p = 0,026). No se observaron diferencias en los días de hospitalización (7 días [RIC 4-13] vs. 9 días [RIC9-14], p0,45). Conclusión: En el periodo postconfinamiento se incrementó la proporción de pacientes pediátricos que acudieron a urgencias con alteraciones de la salud mental.
Академічне писемне мовлення : методичні рекомендації для здобувачів вищої освіти ІІІ (освітньо-наукового) ступеня юридичних спеціальностей
Authors:   Національний університет ", Томчаковська Ю. О. ,   Одеська юридична академія", Швелідзе Л. Д. , Строченко Л. В. , Томчаковський О. Г.
Published: April 2023

Методичні рекомендації призначені для здобувачів вищої освіти ІІІ (освітньо-наукового) ступеня юридичних спеціальностей. Видання складається з 14 розділів, кожен з яких містить стислий огляд особливостей того чи іншого явища академічного письма, а також практичні завдання для формування практичних навичок у здобувачів освіти.
Аудіювання та професійне мовлення (Listening practice) : методичні рекомендації для здобувачів вищої освіти ІІІ (освітньо-наукового) ступеня юридичних спеціальностей
Authors:   Національний університет ", Томчаковська Ю. О. ,   Одеська юридична академія", Строченко Л. В. , Томчаковський О. Г. , Швелідзе Л. Д.
Published: April 2023

Методичні рекомендації призначені для здобувачів вищої освіти ІІІ (освітньо-наукового) ступеня юридичних спеціальностей. Видання складається з 14 розділів, кожен з яких містить стислий огляд особливостей того чи іншого явища академічного письма, а також практичні завдання для формування практичних навичок у здобувачів освіти.
АНАЛІЗ СУЧАСНИХ ТРЕНДІВ У ВИРОБНИЦТВІ БЕЗАЛКОГОЛЬНИХ НАПОЇВ ІЗ ВИКОРИСТАННЯМ НЕТРАДИЦІЙНОЇ РОСЛИННОЇ СИРОВИНИ
Authors: Тищенко В. І. , Божко Н. В.
Published: April 2023

Одним із напрямків здорового харчування є розробка і впровадження технологій функціональних продуктів. Виробництво функціональних напоїв вважається одним із найбільш ефективних засобів покращення харчового статусу людини. Функціональні напої визнані найперспективнішою харчовою системою для збагачення організму людини вітамінами, мінеральними речовинами, антиоксидантами, та іншими біологічно активними речовинами. Метою дослідження був аналіз сучасних інноваційних трендів у розробці безалкогольних напоїв. Встановлено, що на сьогоднішній день основною тенденцією розвитку ринку безалкогольних напоїв є розроблення і впровадження технологій на основі екстрактів різноманітної рослинної сировини. Дикорослі і культурні рослини є джерелом багатьох біологічно активних речовин, використання яких дозволяють отримати продукцію оздоровчого спрямування із нутрицевтичними властивостями. Серед нетрадиційних видів рослинної сировини, що застосовується для виробництва напоїв, відмічено корінь солодки, екстракти шипшини, чорноплідної горобини, гльоду, меліси, аїру, журавлини, кульбаби лікарської, м’яти, ехінацеї, полину лимонного, з квітами календули, з квітами ромашки та листям кропиви, полинь, чорницю, деревій звичайний, лимони. Перспективним є не тільки використання у технології безалкогольних напоїв екстрактів ягід та плодів, але і вегетативних частин рослин. Досліджено, що стебла і листя малини та полуниці багаті на фенольні сполуки, екстракти з листя та навколоплідних шкірок волоського горіху застосовуються як сировина для отримання концентрованої основи для безалкогольних напоїв. Розробка технологій безалкогольних напоїв орієнтується на підвищення біологічної цінності і формування функціональності продукції за рахунок додавання рослинних екстрактів із різноманітними фармакологічними властивостями.
Thuật toán khai phá mẫu dãy thường xuyên trọng số chuẩn hóa với khoảng cách thời gian
Authors: Dương Trần Huy , Thi Vũ Đức
Published: April 2023

In this paper, we propose a method for mining normalized weighted frequent sequential patterns with time intervals, we are not only interested in the number of occurrences of the sequence (the support), but also concerned about their levels of importance (weighted). We use the binding between the support and weight of the set range to candidates in mining normalized weighted frequent sequential patterns with time intervals while maintaining the downward closure property nature which allows a balance between support and the weight of a sequence.
Subjective Sleep Quality as a Possible Mediator in the Relationship between Personality Traits and Depressive Symptoms in Middle-Aged Adults
Authors: Huang Vivian , Peck Katlyn , Mallya Sasha , Lupien Sonia J. , Fiocco Alexandra
Published: April 2023

This study explored the mediating role of sleep in the relationship between personality traits and depressive symptoms in a group of community-dwelling men and women (Mage = 57.92, SD = 4.00). Participants completed the short form NEO Five Factor Inventory (NEO-FFI), Pittsburgh Sleep Quality Index (PSQI), and the Center for Epidemiologic Studies Depression Scale (CES-D). High neuroticism and low conscientiousness was associated with poor sleep, as well as greater depressive symptom severity. Partial indirect mediation effects were found between personality traits (i.e., neuroticism and conscientiousness) and depressive symptoms through self-report sleep measures. An alternative model was also explored, entering depression as the mediator; however a smaller portion of the variance was explained by this model, compared with the hypothesized model. The current study provides preliminary information regarding the mechanisms that influence the relationship between personality traits, sleep, and depression among a group of community-dwelling middle-aged adults. Implications and future directions are discussed.
Functional connectivity of hippocampal subregions in PTSD: relations with symptoms
Authors: Malivoire Bailee L. , Girard Todd A. , Patel Ronak , Monson Candice M.
Published: April 2023

Background: Posttraumatic stress disorder (PTSD) is associated with abnormal hippocampal activity; however, the
functional connectivity (FC) of the hippocampus with other brain regions in PTSD and its relations with symptoms
warrants further attention. We investigated subregional hippocampal FC in PTSD during a resting state compared
with a trauma-exposed control (TEC) group. Based on extant research, we targeted the FCs of the anterior
and posterior hippocampal subregions with the amygdala, medial prefrontal cortex (mPFC), and the posterior
cingulate (PCC).

Methods: Resting-state functional magnetic resonance images were acquired from 11 individuals with PTSD and 13
trauma-exposed controls. Anterior and posterior hippocampal FC was compared between groups. Within the PTSD
and TEC groups, subregional hippocampal FC was correlated with scores on the Clinician-Administered PTSD Scale
(CAPS) at time of scan and 4 months post-scan.

Results: Those with PTSD had significantly greater FC compared with the TEC group between the left posterior
hippocampus and the bilateral PCC (g’s > .96). Direct contrasts of the Fisher z-transformed coefficients indicated that the correlations between CAPS scores 4 months post scan and the FC between the left hippocampal head and the right PCC (z = − 2.07, p = .039) as well as the FC between the right hippocampal tail and the right mPFC (z = − 2.19, p= .029) were significantly greater in the PTSD group compared to the TEC group.

Conclusions: These results support between-group differences in posterior hippocampal FC and different relations
with PTSD future symptoms, underscoring associations with the anterior and posterior hippocampus. These findings enrich our understanding of PTSD pathophysiology and provide support for future investigations of imaging biomarkers predictive of disease progression.

Keywords: Posttraumatic stress disorder, Functional magnetic resonance imaging, Hippocampus, Trauma symptoms, Resting state connectivity
Microfluidic magnetic self-assembly at liquid-liquid interfaces
Authors: Jones Steven G. , Abbasi Niki , Moon Byeong-Ui , Tsai Scott
Published: April 2023

We present a microfluidic method that controllably self-assembles microparticles into clusters at an aqueous two-phase liquid-liquid interface. The liquid-liquid interface is formed between converging flows of aqueous dextran and polyethylene glycol, in a microfluidic cross-slot device. We control the size of the self-assembled particle clusters as they pass through the liquid-liquid interface, by systematically varying the applied magnetic field gradient, and the interfacial tension of the liquid-liquid interface. We find that upon penetration through the interface, the number of particles within a cluster increases with increasing interfacial tension, and decreasing magnetic field gradient. We also develop a scaling model of the number of particles within a cluster, and observe an inverse scaling of the number of particles within a cluster with the dimensionless magnetic Bond number. Upon cluster penetration across the liquid-liquid interface, we find magnetic Bond number regimes where the fluid coating drains away from the surface of the cluster, and where the clusters are encapsulated inside a thin film coating layer. This self-assembly technique may find application in controlling the size of microscale self-assemblies, and coating such assemblies; for example, in clustering and coating of cells for immunoisolated cell transplants.
URGENSI DESKRIPSI PEKERJAAN DALAM MENINGKATKAN KINERJA KARYAWAN : SEBUAH STUDI LITERATUR
Authors: Astuti Nidya , Ikhwan Khairul
Published: April 2023

Penelitian ini memiliki tujuan yaitu untuk mengetahui dampak dari deskripsi pekerjaan bagi karyawan. Sampel penelitian ini adalah artikel yang dipublikasikan pada 16 jurnal nasional berakreditasi pada tahun 2016 sampai dengan tahun 2021.  Sampel diperoleh sebanyak 17 artikel yang membahas mengenai deskripsi pekerjaan. Metode yang digunakan yaitu metode charting the field yang dikembangkan oleh (Hesford et al., 2007). Penelitian ini mengklasifikasikan artikel berdasarkan topik, metode penelitian, dan sektor penelitian. Topik yang paling banyak diteliti dari variabel dependen adalah variabel kinerja karyawan, variabel independen yang paling banyak diteliti adalah variabel deskripsi pekerjaan. Metode penelitian yang paling banyak digunakan adalah metode kuantitatif dan sebagian besar penelitian dilakukan pada sektor swasta.