bluuebunny/crossref_metadata_2025 huggingface dataset:
Deiksis Dalam Obrolan Najwa Shihab Bersama Maudy Ayunda Pada Kanal Youtube Catatan Najwa
Authors: Afrilla Ridana Dwi Dita
Published: January 2022

Studi ini memiliki tujuan untuk memaparkan penggunaan deiksis yang berfungsi untuk menunjuk rujukan bahasa yang terdapat dalam obrolan Najwa Shihab bersama Maudy Ayunda pada kanal youtube catatan Najwa yang tayang pada 22 Maret 2019. Percakapan tersebut berisi cerita tentang Maudy Ayunda yang lolos seleksi di dua kampus yaitu Harvard dan Stanford, serta kampus yang akan dipilih Maudy Ayunda untuk melanjutkan pendidikannya. Metode kualitatif dipilih sebagai metode dalam penelitian ini, yaitu metode yang bersifat mendeskripsikan, menganalisis data berupa kalimat atau kata yang digunakan dalam sebuah obrolan ataupun percakapan, dan menggunakan teori sebagai pemahaman dalam menganalisis ujaran tersebut. Pada obrolan Najwa Shihab bersama Maudy Ayunda, peneliti menemukan penggunaan deiksis atau penggunaan kata yang merujuk pada deiksis persona (perorangan), tempat, wacana, sosial dan waktu. Kata yang merujuk pada kata ganti orang lebih sering digunakan pada sebuah obrolan seperti aku, saya, dan kamu. Penggunaan deiksis persona paling sering digunakan karena Najwa Shihab dalam memberikan pertanyaan kepada Maudy selalu menggunakan kata sapa kamu dan Maudy dalam menjawab pertanyaan yang diberikan oleh Najwa Shihab menyebutkan dirinya dengan kata ganti orang pertama yaitu aku. Deiksis pada suatu ujaran memiliki kegunaan yang sesuai dengan konteks. Penelitian ini memiliki kesan yang menarik dan juga bermanfaat karena meneliti deiksis yang digunakan dalam obrolan atau percakapan oleh dua orang perempuan cantik dan cerdas yang terkenal di kalangan masyarakat Indonesia yaitu Najwa Shihab dan Maudy Ayunda.Kata kunci: deiksis, pragmatik, kampus, Harvard, Stanford.
ANALISIS PROSES PEMBELAJARAN SELAMA MASA PANDEMI COVID-19 DI KELAS II SDN 26 PENJERNANG HULU TAHUN PELAJARAN 2020/2021
Authors: Fitrianingrum Evi , Serani Gabriel , Munah Sabina
Published: January 2022

Permasalahan dalam penelitian ini adalah untuk mengetahui proses pembelajaran selama masa pandemi covid-19 di Kelas II SDN 26 Penjernang Hulu Tahun Pelajaran 2020/2021. Tujuan Penelitian meliputi manfaat teoritis dan manfaat praktis. Subjek dalam penelitian ini adalah guru kelas II SDN 26 Penjernang Hulu. Penelitian ini menggunakan pendekatan kualitatif dan metode deskriptif. Teknik dan alat pengumpul berupa lembar observasi, lembar wawancara, dan dokumentasi. Sedangkan teknik analisis data yang digunakan yaitu pengumpulan data, reduksi data, penyajian data dan penarikan kesimpulan. Hasil dari penelitian ini adalah Proses pembelajaran selama masa pandemi covid-19 dilakukan dengan tatap muka sederhana, dimana siswa datang ke sekolah mengambil tugas untuk dikerjakan di rumah. Ada beberapa faktor penghambat proses pembelajaran yaitu: guru tidak bisa menjelaskan secara maksimal karena perubahan metode mengajar, sistem dan waktu terbatas dan banyak anak-anak yang tidak paham terhadap tugas dan materi yang disampaikan sehingga menyebabkan nilai siswa pun bervariasi. Sedangkan faktor pendukung proses pembelajaran yaitu: fasilitas buku peganggan siswa cukup memadai sehingga anak mudah untuk belajar. Kemudian upaya yang dilakukan untuk mengatasi faktor penghambat yaitu: siswa diberikan tugas setiap sekali dalam seminggu untuk mengambil dan mengantar tugas tersebut ke sekolah, tugas yang diberikan sesuai dengan tema dan kompetensi dasar yang ada pada buku paket.Kata kunci : Proses Pembelajaran, Pandemi Covid-19.
ANALISIS TRADISI NYANYIAN DALAMAI DI NEGERI GAH KECAMATAN TUTUK TOLU KABUPATEN SERAM BAGIAN TIMUR
Authors: Kohunussa Sulaiman
Published: January 2022

Penelitian ini bertujuan untuk mendeskripsikan nyanyian Dalamai di Negeri Gah   Kecamatan Tutuk Tolu Kabupaten Seram Bagian TimurPenelitian ini menggunakan metode penelitian kualitatif. Penelitian kualitatif merupakan penelitian untuk memahami fonomena tentang apa yang dialami oleh subjek penelitian, misalnya perilaku, presepsi, motivasi, tindakan, dan lain-lain, secara holistik, dan dengan cara deskripsi dalam bentuk kata-kata dan bahasa, pada suatu konteks khusus yang alamiah dan dengan memanfaatkan berbagi metode alamiah. Kesimpulan dari penelitian ini adalah Asal-usul upacara tradisional nyanyian dalamai di negeri Gah berkaitan dengan (sejarah singkat tradisional dalamai dilakukan pada waktu penjemputan sultan Tidore, tradisi dalamai ini bersal dari Tidore Maluku Utara yang di bawah oleh Moyang Sultan Gemalah Gowal pada tahun 1474 SM)Makna simbolik upacara adat dalamai dijelaskan melalui beberapa hal sebagai berikut:Sebagai bukti penghormatan kepada para tamu yang datang di negeri Gah, agar tamu yang datang merasa senang dan ikut gembira dalam upacara dalamai. Selain itu makna simbolik yang terpenting adalah sebagai bahan pembelajaran bagi generasi yang ada di negeri Gah agar terus menjaga dan melestarikan nilai-nilai budaya peninggalan para leluhur.Kata Kunci : Analisis Nyanyian Dalamai
PENGEMBANGAN LKPD BERBASIS KEARIFAN LOKAL KECAMATAN LAWANG-MALANG PADA SISWA KELAS 5 SD
Authors: Arianty Rizky , Restian Arina , Mukhlishina Innany
Published: January 2022

This development research was conducted to produce the educational produsts that aim to solve the educational problems. The background of this research was needed, namely the students of SD Negeri 1 Sidoluhur to LKPD learning products that suit their needs. The development of LKPD based on local wisdom was developed by paying attention to the sudents according to their place of recidence, namely Lawang-Malang Disctrict. The purpose of this research is to describe the wisdom-based development of LKPD in Lawang-Malang District for fifth grade students of SD Negeri 1 Sidoluhur. This research was guided by the ADDIE model which is carried out in 5 stages, namely: Analysis, Design, Development, Imlementation and Evaluation. The subjets in this research were the students of fifth grade SD Negeri 1 Sidoluhur, who may have 30 students. Data collection was carried out through observation, interviews, questionnaires and documentation. In addition, the data in this research are in the form of quantitative and qualitative data which are processed and described in a measured manner based on the product developed. The validation of the teaching materials got a percentage of 88% with a very good category. Validation of the thematic learning got a percentage of 88.6% with a very good category. While, the percentage obtained from the results of the student response questionnaire was 98%.
ANALISIS KESIAPAN GURU DALAM MENYUSUN PEMBELAJARAN JARAK JAUH (PJJ) DI MASA PANDEMI COVID-19
Authors: Jacob Marselinus Jheni , Awang Imanuel Sairo , Thoharudin Munawar
Published: January 2022

This study aims to analyze the readiness of primary school teachers in Compiling Distance Learning (PJJ) during the Covid-19 Pandemic. This study is motivated by the importance of the readiness of primary school teachers in facing the Covid-19 pandemic, namely by implementing Distance Learning (PJJ) in the learning process. This study involved primary school teacher respondents and the principal of SD Negeri 17 Mungguk. Data in the form of teacher opinions and statements were collected using questionnaires and interviews and completed with documentation. Furthermore, the collected data were analyzed descriptively. The results showed that theoretically, the teacher already had an understanding of Distance Learning, but it was still lacking in implementation. The motivation of teachers in implementing learning innovations is very high, this is supported by facilities, facilities and infrastructure. School readiness in implementing Distance Learning is included in the high category, elementary school teachers have high expectations regarding their task of implementing Distance Learning during the Covod-19 Pandemic, because this will have a positive impact on the quality of learning.
PENGEMBANGAN MODEL PEMBELAJARAN BERBASIS PERMAINAN TRADISIONAL DALAM MENINGKATKAN MINAT BELAJAR SISWA SD
Authors: Rizky Tania Linda , Purnomo Heru
Published: January 2022

Student learning interest really needs to be considered for the academic sustainbility of students. As it is known that students interest in learning can lead to the focus of whether or not students take part in learning. Student focus will also determine the success or failure of students in accepting and understanding the teaching material provided by the teacher. Many teacher and scholls find students wholack interest in learning. So not a few schools have complained about the academic succes achived. And in this study aims to collect and analyze articles that already exit and have discussed related problems as well as succesful efforts to solve a similiar problem related to interest in elementary schools. The criteria for the articles used are those published in 2017-2021. And based on the articles collected, there are results that show that trough observation, anecdotal notes, portfolio, post test show that students’ interest in learning can be increased by adjusting the learning model accordingto the age level of the child, namely by liking to play. And it has been proven by the existence of data which shows that traditional game-based learning models can increase students’ interest and self-quality.
PERHATIAN ORANG TUA TERHADAP AKTIVITAS BELAJAR SISWA DI ERA PANDEMI COVID-19
Authors: Nengsih Hazzima , Purnomo Heru
Published: January 2022

The purpose of this article is to describe the role of parents' attention in caring for their children so that effective children's learning activities can be realized. The method used in this study is literature or what we are often familiar with as a literature study. Data analysis is that the sources of the reading are compiled, then analyzed, then the final result is compiled. The results of this study explain that the role of parental care needs to be studied, let alone be implemented by every parent wherever they are. This of course greatly affects children's learning activities, positive guidance, such as being given understanding, direction, advice that builds enthusiasm for learning so that children can correct the mistakes they make, allowing positive habits to be formed in a child, for example children can adjust themselves quickly, courageous and confident in making decisions. This is what we often hear with democratic guidance. On the other hand, if the parental education is not good and the parents' attention is very minimal, it will have a negative impact on children's learning activities, so that the child will feel lazy and not enthusiastic and not confident about their achievements.
HUBUNGAN TINGKAT PENGETAHUAN TENTANG TABLET FE DENGAN KEPATUHAN MENGKOMSUMSI TABLET FE PADA IBU HAMIL TRIMESTER III DI PUSKESMAS JATIBARANG BREBES
Authors: Fatimah Siti
Published: January 2022

Status gizi ibu hamil akan sangat berperan dalam kehamilan baik terhadap ibu maupun janin. Salah satu unsur gizi yang penting ketika hamil adalah zat besi. Kenaikan volume darah selama kehamilan akan meningkatkan kebutuhan Fe atau zat besi. Jumlah Fe pada bayi baru lahir kira-kira sebesar 300 mg, jumlah yang diperlukan ibu untuk mencegah anemia akibat meningkatnya volume darah adalah sebesar 500 mg. Selama kehamilan, seorang ibu hamil menyimpan zat besi kurang lebih sebesar 1.000 mg yang berfungsi untuk keperluan janin, plasenta, dan hemoglobin ibu sendiri. Jenis dan Desain penelitian yang digunakan adalah jenis deskripstif analitik yaitu berjumlah 163 ibu hamil.  Teknik pengambilan sampelnya menggunakan simple random  sampling 116 responden.  Analisis yang digunakan adalah distribusi frekuensi dan analisis bivariat rank spearman. Hasil penelitian menunjukan bahwa ada hubungan yang signifikan antara tingkat pengetahuan tentang tablet Fe dengan kepatuhan mengkomsumsi tablet Fe pada ibu hamil trimester III di wilayah Puskesmas Jatibarang Kabupaten Brebes. Bagi ibu hamil agar meningkatkan pengetahuan tentang tablet Fe sebagai sumplemen zat besi dengan aktif mengikuti penyuluhan kesehatan dan pada pemeriksaan kehamilan sehingga selalu mengkonsumsi tablet Fe selama kehamilan dengan meminum 1 tablet per hari untuk menghindari kejadian anemia kehamilan.
Musculoskeletal pain related to surfing practice: Which role for sports rehabilitation strategies? A cross-sectional study
Authors: Farì Giacomo , Santagati Dario , Macchiarola Dario , Ricci Vincenzo , Di Paolo Stefano , Caforio Laura , Invernizzi Marco , Notarnicola Angela , Megna Marisa , Ranieri Maurizio
Published: January 2022

BACKGROUND: Surf practice contributes to overuse injuries and musculoskeletal pain. Relationship between the type of surfing practiced and the onset of pain is not fully understood as well as the potential role of rehabilitation in preventing it. OBJECTIVE: To investigate musculoskeletal pain and to deepen whether the age and the anatomical region involved influenced the pain appearance in relation to four surfing disciplines. METHODS: A cross-sectional study was carried out. An online survey was addressed to a group of Italian surfers (practicing surf, kitesurf, windsurf and stand up paddle since at least 1 year), collecting demographic data, discipline practiced, location of musculoskeletal pain. RESULTS: One hundred and twenty-six surfers were involved in the study. Spine and upper limbs pain was more frequent compared to lower limbs one in the surf (p< 0.001) and in the windsurf groups (p= 0.007). In the kitesurf group a greater prevalence of pain was observed in spine and lower limbs compared to upper limbs (p= 0.017). Low back pain is the most represented among the spine pain subgroups (p< 0.001). Pain was lower in younger athletes (p= 0.007). CONCLUSIONS: Understanding risk factors and biomechanics of musculoskeletal pain is essential to realize prevention training strategies. Rehabilitation in sinergy with specific training allows pain-free activity, optimizing its overall health benefits.
Identification of potential core genes at single-cell level contributing to pathogenesis of pancreatic ductal adenocarcinoma through bioinformatics analysis
Authors: Du Bingqing , Su Fang , Wang Hao , Liang Huihong , Song Xiaodong , Shao Zili , Wei Yisheng
Published: January 2022

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) prognosis has not improved over the last decades because of the lack of effective diagnostic and therapeutic methods in the early stage of the disease. METHODS: Several gene expression profiles were downloaded from the Expression Omnibus (GEO) database. We calculated the differentially expressed mRNAs (DEGs) and miRNAs (DEmiRs). Then, we constructed a miRNA-mRNA regulatory network by using the miRWalk database. For the DEGs regulated by DEmiRs, we introduced GEPIA to confirm these DEGs’ expression and effect on overall survival. We used other GEO datasets and mRNA-miRNA target databases to validate these DEGs and their relationship with DEmiRs. All these potential core DEGs regulated by DEmiRs were also analyzed at the single-cell level to confirm their cell type source. RESULTS: CCNB2 and KCNN4, which were regulated by several micro RNAs, showed relatively high expression levels in PDAC patients and significant association with worse overall survival. Furthermore, we identified many DEGs at single-cell level and found that 10 oncogenes were significantly upregulated in type 2 ductal cell type, thereby further demonstrating that type 2 ductal cells might be major sources of malignant cells and are valuable therapeutic targets in PDAC. CONCLUSIONS: Our data added some new insights into the molecular mechanism of PDAC and may be helpful for finding potential biomarkers for diagnosis. These discovery at single-cell level may also be useful for developing new therapeutic targets for PDAC patients.
Exosome-delivered circular RNA DLGAP4 induces chemoresistance via miR-143-HK2 axis in neuroblastoma
Authors: Tan Wei-Qiang , Yuan Li , Wu Xiao-Yan , He Cheng-Guang , Zhu Shai-Cheng , Ye Ming
Published: January 2022

Accumulating evidence validates that aerobic glycolysis is involved in chemotherapy resistance in human malignant tumors. In the present study, we explored the role of exosome-delivered circular RNA DLGAP4 (circDLGAP4), a novel identified circRNAs, in the chemoresistance of neuroblastoma (NB) cells. Our study demonstrated that doxorubicin-resistant cells expressed higher HK2, accompanied with enhanced glycolysis. In addition, circDLGAP4 was validated to act as a sponge for the HK2-targeting miR-143. As a molecular cargo, exosomes were found to deliver circDLGAP4 from doxorubicin-resistant cells to the sensitive cells. Functionally, exosomal circDLGAP4 enhanced glycolysis and drug resistance via regulating miR-143 and HK2 in NB cells. Consistently, upregulation of HK2 induced by circDLGAP4 or miR-143 inhibitors produced the similar malignant transformation in NB cells. However, knockdown of circDLGA P4 could reversed the drug resistance in the recipient cells. In conclusion, these findings demonstrate that exosome-delivered circDLGAP4 promotes the glycolysis, proliferation, and invasion of sensitive NB cells by regulating miR-143 and HK2, providing a novel link between drug resistance and circDLGAP4/miR-143/HK2 axis in drug-resistant NB.
Contextual emotion detection on text using gaussian process and tree based classifiers
Authors: S Angel Deborah , Rajendram S. Milton , TT Mirnalinee , S Rajalakshmi
Published: January 2022

It is challenging for machine as well as humans to detect the presence of emotions such as sadness or disgust in a sentence without adequate knowledge about the context. Contextual emotion detection is a challenging problem in natural language processing. As the use of digital agents have increased in text messaging applications, it is essential for these agents to provide sensible responses to its users. The present work demonstrates the effectiveness of Gaussian process detecting contextual emotions present in a sentence. The results obtained are compared with Decision Tree and ensemble models such as Random Forest, AdaBoost and Gradient Boost. Out of the five models built on a small dataset with class imbalance, it has been found that Gaussian Process classifier predicts emotions better than the other classifiers. Gaussian Process classifier performs better by taking predictive variance into account.
DDREL: From drug-drug relationships to drug repurposing
Authors: Allahgholi Milad , Rahmani Hossein , Javdani Delaram , Sadeghi-Adl Zahra , Bender Andreas , Módos Dezsö , Weiss Gerhard
Published: January 2022

Analyzing the relationships among various drugs is an essential issue in the field of computational biology. Different kinds of informative knowledge, such as drug repurposing, can be extracted from drug-drug relationships. Scientific literature represents a rich source for the retrieval of knowledge about the relationships between biological concepts, mainly drug-drug, disease-disease, and drug-disease relationships. In this paper, we propose DDREL as a general-purpose method that applies deep learning on scientific literature to automatically extract the graph of syntactic and semantic relationships among drugs. DDREL remarkably outperforms the existing human drug network method and a random network respected to average similarities of drugs’ anatomical therapeutic chemical (ATC) codes. DDREL is able to shed light on the existing deficiency of the ATC codes in various drug groups. From the DDREL graph, the history of drug discovery became visible. In addition, drugs that had repurposing score 1 (diflunisal, pargyline, fenofibrate, guanfacine, chlorzoxazone, doxazosin, oxymetholone, azathioprine, drotaverine, demecarium, omifensine, yohimbine) were already used in additional indication. The proposed DDREL method justifies the predictive power of textual data in PubMed abstracts. DDREL shows that such data can be used to 1- Predict repurposing drugs with high accuracy, and 2- Reveal existing deficiencies of the ATC codes in various drug groups.
The overlapping community discovery algorithm based on the local interaction model
Authors: Jia Junjie , Liu Pengtao , Du Xiaojin , Yao Yewang , Lei Zhipeng
Published: January 2022

In social networks, the traditional locally optimized overlapping community detection algorithm has a free-rider problem in community extension, which mainly relies on the structure information of nodes but ignores the node attributes. Therefore, in this paper, we redefine community based on theoretical analysis and propose an overlapping community discovery algorithm based on the local interaction model. By fusing node attributes and structural information, we first proposed an improved density peak fast search method to obtain multiple core nodes in the community. Then, according to the interaction range and interaction mode of the core node, we established a local interaction model of the core node, which converts the interaction strength or the number of common attributes between nodes in the network into the change of the distance between nodes. Finally, according to the proposed improved clustering algorithm, we obtain the community where the core node is located and merge the communities with a high degree of overlap. The experimental results show that compared with other similar community discovery algorithms, the proposed method outperforms the state-of-the-art approaches for community detections.
Toward Pre-Diagnostic Detection of Dementia in Primary Care
Authors: Levy Boaz , Priest Amanda , Delaney Tyler , Hogan Jacqueline , Herrawi Farahdeba
Published: January 2022

Background: Preventing dementia warrants the pragmatic engagement of primary care. Objective: This study predicted conversion to dementia 12 months before diagnosis with indicators that primary care can utilize within the practical constraints of routine practice. Methods: The study analyzed data from the Alzheimer’s Disease Neuroimaging Initiative (Total sample = 645, converting participants = 54). It predicted the conversion from biological (plasma neurofilament light chain), cognitive (Trails Making Test– B), and functional (Functional Activities Questionnaire) measures, in addition to demographic variables (age and education). Results: A Gradient Booster Trees classifier effectively predicted the conversion, based on a Synthetic Minority Oversampling Technique (n = 1,290, F1 Score = 92, AUC = 94, Recall = 87, Precision = 97, Accuracy = 92). Subsequent analysis indicated that the MCI False Positive group (i.e., non-converting participants with cognitive impairment flagged by the model for prospective conversion) scored significantly lower on multiple cognitive tests (Montreal Cognitive Assessment, p < 0.002; ADAS-13, p < 0.0004; Rey Auditory Verbal Learning Test, p < 0.002/0.003) than the MCI True Negative group (i.e., correctly classified non-converting participants with cognitive impairment). These groups also differed in CSF tau levels (p < 0.04), while consistent effect size differences emerged in the all-pairwise comparisons of hippocampal volume and CSF Aβ1 - 42. Conclusion: The model effectively predicted 12-month conversion to dementia and further identified non-converting participants with MCI, in the False Positive group, at relatively higher neurocognitive risk. Future studies may seek to extend these results to earlier prodromal phases. Detection of dementia before diagnosis may be feasible and practical in primary care settings, pending replication of these findings in diverse clinical samples.
Late-Life Physical Activities Moderate the Relationship of Amyloid-β Pathology with Neurodegeneration in Individuals Without Dementia
Authors: Sohn Bo Kyung ,   for the KBASE Research Group, Byun Min Soo , Yi Dahyun , Jeon So Yeon , Lee Jun Ho , Choe Young Min , Lee Dong Woo , Lee Jun-Young , Kim Yu Kyeong , Sohn Chul-Ho , Lee Dong Young
Published: January 2022

Background: Physical activities (PA) have been suggested to reduce the risk of Alzheimer‘s disease (AD) dementia. However, information on the neuropathological links underlying the relationship is limited. Objective: We investigated the role of midlife and late-life PA with in vivo AD neuropathologies in old adults without dementia. Methods: This study included participants from the Korean Brain Aging Study for Early Diagnosis and Prediction of Alzheimer’s disease (KBASE). The participants underwent comprehensive clinical and neuropsychological assessment, [11C] Pittsburgh Compound B positron emission tomography (PET), [18F] fluorodeoxyglucose PET, and magnetic resonance imaging. Using the multi-modal brain imaging data, in vivo AD pathologies including global amyloid deposition, AD-signature region cerebral glucose metabolism (AD-CM), and AD-signature region cortical thickness (AD-CT) were quantified. Both midlife and late-life PA of participants were measured using the Lifetime Total Physical Activity Questionnaire. Results: This study was performed on 260 participants without dementia (195 with normal cognitive function and 65 with mild cognitive impairment). PA of neither midlife nor late-life showed direct correspondence with any neuroimaging biomarker. However, late-life PA moderated the relationship of brain amyloid-β (Aβ) deposition with AD-CM and AD-CT. Aβ positivity had a significant negative effect on both AD-CM and AD-CT in individuals with lower late-life PA, but those with higher late-life PA did not show such results. Midlife PA did not have such a moderation effect. Conclusion: The findings suggest that physically active lifestyle in late-life, rather than that in midlife, may delay AD-associated cognitive decline by decreasing Aβ-induced neurodegenerative changes in old adults.
An Automated Toolbox to Predict Single Subject Atrophy in Presymptomatic Granulin Mutation Carriers
Authors: Premi Enrico ,   GENFI Consortium Members Afonso Sónia Instituto Ciencias Nucleares Aplicadas a Saude, Universidade de Coimbra, Coimbra, Portugal; Rosario Almeida Maria Faculty of Medicine, University of Coimbra, Coimbra, Portugal; Anderl-Straub Sarah Department of Neurology, University of Ulm, Ulm, Germany; Andersson Christin Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Antonell Anna Alzheimer’s disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Barcelona, Spa, Costa Tommaso , Gazzina Stefano , Benussi Alberto , Cauda Franco , Gasparotti Roberto , Archetti Silvana , Alberici Antonella , van Swieten John C. , Sanchez-Valle Raquel , Moreno Fermin , Santana Isabel , Laforce Robert , Ducharme Simon , Graff Caroline , Galimberti Daniela , Masellis Mario , Tartaglia Carmela , Rowe James B. , Finger Elizabeth , Tagliavini Fabrizio , de Mendonça Alexandre , Vandenberghe Rik , Gerhard Alexander , Butler Chris R. , Danek Adrian , Synofzik Matthis , Levin Johannes , Otto Markus , Ghidoni Roberta , Frisoni Giovanni , Sorbi Sandro , Peakman Georgia , Todd Emily , Bocchetta Martina , Rohrer Johnathan D. , Borroni Barbara
Published: January 2022

Background: Magnetic resonance imaging (MRI) measures may be used as outcome markers in frontotemporal dementia (FTD). Objectives: To predict MRI cortical thickness (CT) at follow-up at the single subject level, using brain MRI acquired at baseline in preclinical FTD. Methods: 84 presymptomatic subjects carrying Granulin mutations underwent MRI scans at baseline and at follow-up (31.2±16.5 months). Multivariate nonlinear mixed-effects model was used for estimating individualized CT at follow-up based on baseline MRI data. The automated user-friendly preGRN-MRI script was coded. Results: Prediction accuracy was high for each considered brain region (i.e., prefrontal region, real CT at follow-up versus predicted CT at follow-up, mean error ≤1.87%). The sample size required to detect a reduction in decline in a 1-year clinical trial was equal to 52 subjects (power = 0.80, alpha = 0.05). Conclusion: The preGRN-MRI tool, using baseline MRI measures, was able to predict the expected MRI atrophy at follow-up in presymptomatic subjects carrying GRN mutations with good performances. This tool could be useful in clinical trials, where deviation of CT from the predicted model may be considered an effect of the intervention itself.
Tuning of control parameters of the Whale Optimization Algorithm using fuzzy inference system
Authors: Ferrari Allan Christian Krainski , Silva Carlos Alexandre Gouvea da , Osinski Cristiano , Pelacini Douglas Antonio Firmino , Leandro Gideon Villar , Coelho Leandro dos Santos
Published: January 2022

The Whale Optimization Algorithm (WOA) is a recent approach to the swarm intelligence field that can be explored in many global optimization applications. This paper proposes a new mechanism to tune the control parameters that influence the hunting process in the WOA to improve its convergence rate. This schema adjustment is made by a fuzzy inference system that uses the normalized fitness value of each whale and the hunting mechanism control parameters of WOA. The method proposed was tested and compared with the conventional WOA and another version that uses a fuzzy inference system as input information on the ratio of the current iteration number and the maximum number of iterations. For performance analysis of the method proposed, all optimizers were evaluated with twenty-three benchmark optimization functions in the continuous domain. The algorithms were also implemented in the identification process of two real control system that are a boiler system and water supply network. For identification process, it is used the value of MSE (mean squared error) to available each algorithm. The simulation results show that the proposed fuzzy mechanism improves the convergence of the conventional WOA and it is competitive in relation to another fuzzy version adopted in the WOA design.
No rain in the world: A novel residual deep attention network for single image rain removal
Authors: Wei Mingrun , Wang Hongjuan , Cheng Ru , Yu Yue
Published: January 2022

Clear images are generally desirable in high-level computer vision algorithms which are mostly deployed outdoors. However, affected by the changeable weather in the real world, images are inevitably contaminated by rain streaks. Deep convolutional neural networks (CNNs) have shown significant potential in rain streaks removal. The performance of most existing CNN-based deraining methods is often enhanced by stacking vanilla convolutional layers and some other methods use dilated convolution which can only model local pixel relations to provide the necessary but limited receptive field. Therefore, long-range contextual information is rarely considered for this specific task, thus, deraining a single image remains challenging problem. To address the above problem, an effective residual deep attention network (RDANet) for single image rain removal is proposed. Specifically, we design a strong basic unit that contains dilated convolution, spatial and channel attention module (SCAM) simultaneously. As contextual information is very important for rain removal, the proposed basic unit can capture global long-distance dependencies among pixels in feature maps and model feature relations across channels. Compared with a single dilated convolution, the spatial and channel attention enhance the feature expression ability of the network. Moreover, some previous works have proven that the no-rain information in a rain image will be missing during deraining. To enrich the detailed information in the clean images, we present a residual feature processing group (RFPG) that contains several source skip connections to inject rainy shallow source information into each basic unit. In summary, our model can effectively handle complicated long rain streaks in spatial and the outputs of the network can retain most of the details of the original rain images. Experiments demonstrate the superiority of our RDANet over state-of-the-art methods in terms of both quantitative metrics and visual quality on both synthetic and real rainy images.
Multichannel concat-fusional convolutional neural networks
Authors: Shan Chuanhui , Chen Xiumei
Published: January 2022

Because of the advantages of deep learning and information fusion technology, it has drawn much attention for researchers to combine them to achieve target recognition, positioning, and tracking. However, when the existing neural network process multichannel images (e.g., color images), multiple channels as a whole input into neural networks, which makes it hard for networks to fully learn information in R, G, and B channels of images. Therefore, it is not conducive to the final learning effect of the networks. To solve the problem, using different combinations of R, G, and B channels of color images for feature-level fusion, this paper proposes three fusion types as “R/G/B”, “R+G/G+B/B+R”, and “R+G+B/R+G+B/R+G+B” multichannel concat-fusional convolutional neural networks. Experimental results show that multichannel concat-fusional convolutional neural networks with fusional types of “R+G/G+B/B+R” and “R+G+B/R+G+B/R+G+B” achieve better performance than the corresponding non-fusional convolutional neural networks on different datasets. It shows that networks with fusion types of “R+G/G+B/B+R” and “R+G+B/R+G+B/R+G+B” can learn more fully information of R, G, and B channels of color images and improve the learning performance of networks.
RETRACTED: Hierarchical RNNs-Based transformers MADDPG for mixed cooperative-competitive environments
Authors: Wei Xiaolong , Huang Xianglin , Yang LiFang , Cao Gang , Tao Zhulin , Wang Bing , An Jing
Published: January 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
A novel methodology of parametric identification for robots based on a CNN
Authors: Carreón-Díaz de León Carlos Leopoldo , Vergara-Limon Sergio , Vargas-Treviño María Aurora D. , González-Calleros Juan Manuel
Published: January 2022

This paper presents a novel methodology to identify the dynamic parameters of a real robot with a convolutional neural network (CNN). Conventional identification methodologies use continuous motion signals. However, these signals are quantized in their amplitude and are discrete in time. Therefore, the time required to identify the parameters of a robot with a limited measurement system is related to an optimized motion trajectory performed by the robot. The proposed methodology consists of an algorithm that uses a trained CNN with the data created by the dynamical model of the case study robot. A processing technique is proposed to transform the position, velocity, acceleration, and torque robot signals into an image whose characteristics are extracted by the CNN to determine their dynamic parameters. The proposed algorithm does not require any optimal trajectory to find the dynamic parameters. A proposed time-spectral evaluation metric is used to validate the robot data and the identification data. The validation results show that the proposed methodology identifies the parameters of a Cartesian robot in less than 1 second, exceeding 90% of the proposed evaluation metric and 98% for the simulation results.
Association between Mediterranean diet and Parkinson’s disease in adults: A systematic review and meta-analysis of cohort studies
Authors: Keramati Majid , Musazadeh Vali , Kheirouri Sorayya
Published: January 2022

BACKGROUND: Parkinson’s disease (PD) is a chronic neurodegenerative disorder, and previous studies have shown that the Mediterranean diet (MeDi) can be effective in reducing the incidence and progression of the disease. OBJECTIVE: The purpose of this study was to determine an association between adherence to MeDi and the risk of PD in adults by meta-analysis of cohort studies. METHODS: Online databases including Scopus, PubMed, Web of Science, and Google Scholar were searched up to March 2021. Cohort studies that examined the association of PD risk with adherence to MeDi were included. A pooled relative risk with a 95% confidence interval was calculated by a random effects meta-analysis. As well, bias assessment, assessment of heterogeneity, sensitivity, and subgroup analyses were carried out. The primary outcome was Parkinson’s incidence. RESULTS: Overall four papers on PD risk were included in the present systematic review and meta-analysis. The effect size of the summary for the risk of overall PD, comparing the highest with the lowest adherence to MeDi, was 0.76 (95% CI: 0.59, 0.98), indicating a significant inverse association. CONCLUSIONS: Adherence to MeDi has a protective role against PD. Also, adhering to this dietary pattern at a younger age may be more beneficial in reducing the risk of PD. However, we suggest more prospective cohort studies in this regard.
Role of patient-specific blood properties in computational fluid dynamics simulation of flow diverter deployed cerebral aneurysms
Authors: Uchiyama Yuya , Fujimura Soichiro , Takao Hiroyuki , Suzuki Takashi , Ishibashi Toshihiro , Otani Katharina , Karagiozov Kostadin , Fukudome Koji , Yamamoto Hideki , Yamamoto Makoto , Murayama Yuichi
Published: January 2022

BACKGROUND: Hemodynamics and their clinical outcome of cerebral aneurysms treated with flow diverter (FD) stents have thus far been investigated using computational fluid dynamics (CFD) simulations. Although human blood is characterized as a non-Newtonian patientspecific fluid, non-patient-specific blood properties (PSBP) were applied in most extant studies. OBJECTIVE: To investigate the hemodynamic effects caused by PSBPs in aneurysms treated with FD stents. METHODS: We measured blood properties (density and viscosity) for 12 patients who underwent FD stent deployment. We conducted CFD simulations with the measured PSBPs and non-PSBPs quoted from previous studies. The average blood flow velocity and wall shear stress within the aneurysms were calculated and two simulation patterns were compared. RESULTS: The velocity and wall shear stress changed by 2.93% and 3.16% on average, respectively, without an FD stent deployed. Conversely, with the FD stents deployed, the change rates increased to 11.1% and 9.06% on average, respectively. CONCLUSIONS: The change in hemodynamic parameters if PSBPs are considered, may not be negligible when conducting CFD simulations of FD stent deployed aneurysms To obtain an adequate hemodynamic environment for cerebral aneurysms with FD stents deployed, it is recommended to use PSBPs for CFD simulations.
Evaluation of radiation dose to organs of neonatal patients during portable X-ray examination in incubators: A Monte Carlo simulation study
Authors: Kim Eunhye , Park Hyemin , Kim Kwanghyun , Yoon Yongsu , Lim Cheonghwan , Kim Jungmin
Published: January 2022

BACKGROUND: Infants admitted to neonate intensive care units (NICUs) are placed in incubators to maintain body temperature and condition, which undergo normal radiographs and are exposed to radiation. Furthermore, different incubator structures in different hospitals exhibit varying object to image receptor distance (OID), source to image receptor distance (SID), presence of canopy, which results in variations in X-ray radiation conditions and doses absorbed by the neonatal patients. OBJECTIVE: To measure organ dose exposed to neonatal patient in different incubator settings. METHODS: A portable X-ray was performed on a neonatal patient placed in an incubator to identify disease progress, the injection path of the drug, and various factors. To minimize direct contact between neonatal patients and image receptor, radiologic technologists place the image receptor on a tray underneath the incubator and place the portable X-ray tube on top of the acrylic canopy of the incubators. SID and OID settings and value of organ dose exposed to the patient varied based on the incubator structure, and the organ absorbed dose was determined using Monte Carlo N-Particle (MCNP) simulation, PC-based Monte Carlo program (PCXMC) 2.0 simulation, and neonate phantoms. RESULTS: Evaluations of organ dose of neonatal patients in three hospitals with different incubator settings reveal that the average organ dose differs by 36% depending on change in OID and SID settings and reduces by 10% with an acrylic canopy. Therefore, owing to the presence of an acrylic canopy on the top of the incubator and the longer SID with the corresponding shorter OID, a lower dose was absorbed by organs of neonatal patient. CONCLUSION: Our results provide proof that proper incubator standard decreases organ dose to neonatal patient during continuously diagnostic X-ray procedure.
PENYULUHAN MARKETING DIGITAL YANG TEPAT UNTUK PRODUK OLAHAN IBU-IBU PKK KELURAHAN PAMULANG BARAT
Authors: Sudarso Eko , Ishak Gos , Abidin Ali Zainal , Prasetyo Hendri , Oktrima Bulan
Published: January 2022

Perdagangan dengan melalui media Elektronik adalah aktivitas penyebaran, penjualan,pembelian, pemasaran produk (barang dan jasa), dengan memanfaatkan jaringan internet. Adapuntujuan dari Pengabdian kepada Masyarakat (PKM) ini adalah untuk menanamkan pemahamanbagaimana manajemen pemasaran yang efektif bagi ibu-ibu PKK; mengetahui peran usaha kecildan mikro dalam pemasaran online serta menanamkan pemahaman bagaimana pemasaran berbasisonline efektif melalui disiplin ilmu yang benar di Kelurahan Pamulang Barat, Kota TangerangSelatan.Dalam melaksanakan kegiatan PKM digunakan beberapa meode pelatihan, yaitu: 1)Metode Ceramah/Presentasi. Metode ceramah/presentasi dipilih untuk memberikan penjelasantentang: a. Memberikan pengetahuan terkait pemasaran online. b. Presentasi mengenai materi ecommerce; 2) Metode Tanya Jawab. Metode tanya jawab sangat penting bagi para pesertapelatihan. Metode ini memungkinkan menggali pengetahuan sebanyak-banyaknya tentangpengelolaan pemasaran online; 3) Sharing Session Tentang mengoptimalkan pemasaran melaluionline. Sharing session ini diberikan kepada para peserta pelatihan dalam memberikan masukandan bimbingan untuk mempraktekan materi yang diperoleh. Harapannya, peserta pelatihan dapatmenguasai materi pelatihan yang diterima dan dapat diaplikasikan dalam mengelola usahanya.Adapun hasil dari kegiatan Pengabdian kepada Masyarakat ini adalah pengenalanmanajemen pemasaran berbasis online di Kelurahan Pamulang Barat. Dengan cara manajemenyang benar dalam pemasara online dengan media E-commerce dapat meningkatkan keuntungandengan memperhatikan produk yang akan dijualnya melalui media online.Kata Kunci: Manajemen Pemasaran, E-commerce
PENGARAHAN DAN MOTIVASI GUNA PERSIAPAN MENGHADAPI PERSAINGAN DUNIA KERJA PADA SISWA SMK BINA HARAPAN CISEENG
Authors: Lestiyadi Ayu Puspa , Indraswari Tutri , Sari Shela Puspita , Dewi Kartika Sari , Suryono Suryono
Published: January 2022

Kegiatan Pengabdian Kepada Masyarakat ini bertujuan untuk memberikan pengarahan danmotivasi kepada siswa guna persiapan mengahadapi persaingan dunia kerja. Metode kegiatanyang digunakan adalah kerja sama dengan Kepala Sekolah SMK Bina Harapan, yang beralamatdi Malang Nengah, Ciseeng dan memberikan pengarahan dan motivasi kepada siswa. Setelah dianalisis, kami memberikan pengarahan dan motivasi dari mulai memberikan pengarahanbagaimana ruang lingkup persaingan di dunia kerja, apa saja yang harus di persiapkan olehmereka sebagai calon lulusan SMK untuk menghadapi persaingan dunia kerja, serta tentang apasaja keahlian yang harus dimiliki oleh lulusan SMK. Hasil kegiatan menunjukan bahwa sebelumpelaksanaan PKM, para siswa SMK Bina Harapan belum mengetahui apa saja yang dapatdilakukan untuk dapat menghadapi persaingan kerja, namun setelah pelaksanaan kegiatan PKMini diketahui para peserta setidaknya sudah mempunyai sedikit bekal dan dapat memahamitentang seperti apa persaingan di dunia kerja, apa saja yang harus mereka lakukan untukmengahadapi persaingan dunia kerja dan keahlian apa saja yang harus dimiliki oleh lulusan SMK.Kegiatan PKM berperan positif dalam meningkatkan pengetahuan dan motivasi kepada siswaSMK Bina Harapan.Kata Kunci : Pengarahan, Motivasi, Dunia Kerja
Meninjau Kinerja Karyawan PT Smartfren Telecom Tbk Melalui Disiplin Kerja Dan Lingkungan Kerja
Authors: Tilova Nurdinni
Published: January 2022

Penelitian ini bertujuan untuk mengetahui pengaruh disiplin kerja dan lingkungan kerja terhadap kinerja karyawan pada PT Smartfren Telecom Tbk. Metode yang digunakan dalam penelitian ini adalah metode deskriptif kuantitatif dan penyebaran kuesioner yang berisi 10 pertanyaan terkait variabel disiplin kerja (X1), 9 pertanyaan terkait variabel lingkungan kerja (X2), dan 10 pertanyaan terkait variabel kinerja karyawan (Y) kepada 100 responden yang merupakan karyawan pada PT Smartfren Telecom Tbk. Pengolahan data menggunakan analisis SEM dengan SmartPLS. Hasil dari penelitian ini menyatakan bahwa variabel Disiplin Kerja  berpengaruh positif terhadap variabel Kinerja karyawan pada PT Smartfren Telecom Tbk, Begitupun variabel Lingkungan kerja berpengaruh Positif dan signifikan terhadap Kinerja karyawan pada PT Smartfren Telecom Tbk. Berdasarkan nilai RSquare untuk variabel  Kinerja Karyawan  adalah 0,822. Perolehan nilai tersebut menjelaskan bahwa presentase besarnya Kinerja Karyawan dapat dijelaskan oleh Disiplin kerja dan Lingkungan Kerja sebesar  82%.
Bone Grafting Surgery, Proximal Tibia as Donor Site
Authors:   Department of plastic and Hand surgery, AJA University of Medical Sciences, Tehran, Iran., Karbalei Khani Ali , Mehrabi Ali ,   Department of orthopedics and hand surgery, Kerman University of Medial sciences, Kerman, Iran., Saied Alireza ,   Department of orthopedics and hand surgery, Kerman University of Medial sciences, Kerman, Iran.
Published: January 2022

Proximal tibia is the second most common site for cancellous bone harvest after iliac crest. It is an excellent bone graft donor site especially when the same limb is undergoing the primary operation. The amount of graft and the quality probably are comparable to that taken from iliac crest and complications are by far less common and less serious. It seems that proximal tibia is a suitable donor site for bone graft harvest and orthopedic surgeons must keep this site in mind when this surgery is necessary.