bluuebunny/crossref_metadata_2025 huggingface dataset:
LATIHAN FOOTWORK TRAINING BERBASIS TEKNOLOGI UNTUK PENINGKATAN BIOMOTORIK DASAR PEMAIN FUTSAL SMAN 1 MONTONG GADING
Authors: Hulfian Lalu , Subakti Subakti
Published: June 2023

Latihan footwork berbasis teknologi ini sudah secara signifikan meningkatkan kelincahan atlet berdasarkan hasil penelitian terdahulu. Akan tetapi, dalam permainan futsal, pemain tidak hanya membutuhkan kelincahan saja tapi juga komponen biomotorik dasar yang lain seperti kecepatan, kekuatan, daya tahan dan kelenturan. Jika melihat karakteristik bentuk latihan dan alat yang digunakan, maka latihan footwork berbasis teknologi ini bisa meningkatkan komponen biomotorik dasar yang lain tersebut. Untuk membuktikan hal itu, dibutuhkan penelitian apakah bentuk latihan footwork dapat meningkatkan seluruh komponen biomotorik dasar pemain futsal. Tujuan yang ingin dicapai dalam penelitian ini adalah Ingin meningkatkan komponen biomotorik dasar pemain futsal SMAN 1 Montong Gading. Jenis penelitian ini adalah eksperimen dengan menerapkan pretest dan posttest pada subjek yang diteliti berupa tes komponen biomotorik dasar. Populasi dalam penelitian ini sebanyak 14 pemain futsal SMAN 1 Montong Gading teknik sampling yang dipakai adalah purposive sampling karena peneliti memilih pemain inti tim futsal SMAN 1 Montong Gading. Teknik pengumpulan data dalam penelitian ini menggunakan dokumentasi dan tes perbuatan untuk mengukur biomotorik dasar. Teknik analisis data menggunakan uji beda mean dengan bantuan SPSS 17.0. Hasil penelitian menunjukkan nilai (sig.) > α (0,05) yaitu (0,0757 > 0,05), maka H1 ditolak, H0 diterima berarti tidak ada peningkatan sehingga 1) tidak ada pengaruh latihan footwork berbasis teknologi terhadap biomotorik dasar pemain futsal SMAN 1 Montong Gading. 2) Komponen Biomotorik yang mengalami peningkatan signifikan yang diakibatkan oleh latihan footwork berbasis teknologi pada pemain futsal SMAN 1 Montong Gading adalah Kekuatan dan Koordinaasi.
PENGARUH LATIHAN PLIOMETRIK SIDE HOP DAN TRICEP EXTANSION TERHADAP KEMAMPUAN SMASH DALAM PERMAINAN BOLA
Authors: Suriatno Adi , Yusuf Rusdiana
Published: June 2023

Permasalahan yang terlihat pada Club GTS Pujut Tahun 2020 adalah kurang keras dan tepatnya dalam melakukan Smash, salah satu penunjang untuk kemampuan Smash adalah  latihan Pliometrik Side Hop dan Tricep Extension. Tujuan penelitian ini adalah untuk mengetahui ada atau tidak pengaruh latihan Pliometrik Side Hop dan Tricep Extansion terhadap kemampuan Smash pada Club GTS Pujut Tahun 2018. Metode analisis yang di gunakan adalah statistik dengan rumus t-test. Sedangkan populasi dalam penelitian ini adalah seluruh pemain Club GTS Pujut yang berjumlah 10 orang. Dari hasil penghitungan nilai t hitung, selanjutnya melihat t tabel pada taraf signifikan 5% dan db (N-1) = 9 maka diketahui nilai t tabel adalah 1,833 kemudian di lanjutkan uji t : maka di ketahui t hitung latihan Pliometrik Side Hop lebih besar dari t tabel (5,979 > 1,833) dan latihan Tricep Extension (2,959 > 1,833)  maka hipotesis nihil (Ho) di tolak dan hipotesis alternatif (Ha) di terima jadi kesimpulan dalam penelitian ini adalah  “Ada pengaruh latihan Pliometrik Side Hop dan Tricep Extension terhadap kemampuan Smash dalam permainan bola voli pada Club GTS Pujut Tahun 2018”.
Pengaruh Latihan Diamond Dengan Interval 1:1 Terhadap Kemampuan Passing Dalam Permainan Sepak Bola
Authors: Azmi Umur  , Maulidin  , Sri Erni Mulyani
Published: June 2023

ABSTRACT

This research is motivated by players who have not been able to master passing teachniques well, how to do passing is still not correct, and the training program to basic technicques is still lacing. This study aimas to determine wheter theough diamond training at 1:1 intervals can improve the passing ability in soccer for games Sentluk fc U-23 players. The method uset I this research is pre-experimental, this reseach is included in the form of one group pretest-posttest design. The population in this study were the Senteluk fc players, while the sample was the Senteluk fc U-23 players, amounting 30 people. The instrument used was a passing test. The data analysis technique used is statistical analysis whit hypothesis testing. The results of the analysis sho that: There is a signifikant effectif between diamond training on the passing ability of Senteluk fc U-23 players. From the t-test dat it can be seen that count (4.893) > t tabel (2.045), so there is significan diffirence in the level of passing ability. The result of the reseach and discussion can be concluded that there is an effect of diamond training with 1:1 intervals on the passing ability of Senteluk fc U-23 players.

      Keywords: Influence of Diamond Training, passing, Football

Penelitian ini bertujuan untuk mengetahui apakah melalui latihan diamond dengan interval 1:1 dapat meningkatkan kemampuan passing dalam permainan sepak bola pada pemain Senteluk fc U-23. Metode yang digunakan dalam penelitian ini adalah pra eksperimen, penelitian dengan metode one group pretest-posttest design. Populasi dalam penelitian ini adalah pemain Senteluk fc, sedangkan sampelnya adalah pemain Senteluk fc U-23 yang berjumlah 30 orang. Instrumen yang digunakan adalah tes passing. Teknik analisis data yang digunakan yaitu analisis statistik dengan pengujian hipotesis. Hasil analisis menunjukkan bahwa : Ada pengaruh yang signifikan antara latihan diamond terhadap kemampuan passing pemain Senteluk fc U-23. Dari data uji t dapat dilihat bahwa t hitung (4,893) > t tabel (2,045), maka terdapat perbedaan yang signifikan terhadap tingkat kemampuan passing. Hasil penelitian dan pembahasan dapat diambil kesimpulan bahwa ada pengaruh latihan diamon dengan interval 1:1 terhadap kemampuan passing pada pemain Senteluk fc U-23

Kata Kunci :Pengaruh Latihan Diamond, Passing, Sepakbola
Anthocyanins in Mulberry Leaves (Morus rubra L.) Ethanol Extract as the Inhibitor for the Growth of Candida albicans
Authors: Nina Hidayatunnikmah  , Anik Latifah  , Desta Ayu Cahya Rosyida
Published: June 2023

Infections caused by Candida albicans are generally common in the vaginal mucosa or called Vulvovaginal Candidiasis. Herbal medicine is proven to be an alternative to treat vaginal candidiasis. Mulberry leaves have many chemical compounds, one of which is anthocyanins. Anthocyanins have pharmacological benefits and biological activity that can protect against human pathogenic bacteria. This study aims to observe the effect of anthocyanin compounds extracted from mulberry leaves (Morus Rubra L) on the growth of Candida albicans. Identification of compounds on mulberry leaves used the TLC spectrophotodensitometry on silica gel 60 F254. TLC plates were washed with methanol and activated at 110 degrees C for 30 minutes. The plates were eluted in a chamber that had been saturated with the mobile phase of n-butanol:glacial acetic acid:water (4:1:2) and transferred using a CMAG TLC densitometer with a spectrum in the wavelength range of 200-700 nm. Design study is experimental study with a short Post-Test Only Control Group. This study was conducted at the Pharmaceutical Biology Laboratory of PGRI Adi Buana University and the Laboratory of Professor Nidhom Foundation. The results showed that there was a content of anthocyanin compounds in mulberry leaves with antifungal function against Candida albicans.
Effect of Upright Position on Pain and Duration of the Active Phase of the First Stage of Labor among Women in Labor in the Work Area of Tasikmalaya TPMB
Authors: Imaniar Melsa Sagita , Tatu Septiani Nurhikmah  , Sherly Laksmining  , Sandrina Rahmatul
Published: June 2023

Prolonged labor is one of causes of maternal and infant death. Several causes of prolonged labor are inefficient uterine contractions, presentation or position of the fetus, inadequate pelvic bones or abnormalities of maternal soft tissues, which result in failure to progress in labor and an increase in the incidence of Caesarean section delivery. The upright position will encourage stronger and more efficient contractions, wherein gravity will occur to keep the baby's head pressed towards the lower uterine segment so as to help cervical dilation and shorten the duration of labor. Upright positions in the first stage of labor include walking, standing, sitting, half-sitting, kneeling, and crawling positions. This study aims to determine the effect of upright position compared to supine position on the level of pain and the duration of the active phase of the first stage of labor among primigravida women in labor. This was a quasi-experimental study with a post-test only design. There were 100 study samples who were assigned in the control group and the intervention group, consisting of 50 respondents, respectively. The study was conducted at the Tasikmalaya TPMB. Data collection was carried out for approximately 6 months on March-August 2022. The results showed that primigravida women in the active phase of the first stage of labor with upright position had a shorter duration of labor compared to those with supine position. Independent t test results obtained a p value equals 0.000 (p is less than 0.05). Such finding indicated a statistically significant difference. Based on the results of the data analysis, it can be concluded that there was a significant difference in the duration of the active phase of the first stage of labor between upright position and supine position among women in labor in the Work Area of Tasikmalaya TPMB.
Case-based Learning Video and Learning Motivation among Midwifery Students
Authors: Ulfa Farrah Lisa  , Feri Anita Wijayanti
Published: June 2023

Case-based learning is commonly used in various settings, including the medical field. This study aims to determine the effect of case-based learning video on learning motivation among midwifery students. This was a quasi-experimental study with pre-test and post-test approach. This study was conducted at the Bachelor of midwifery study program, Faculty of Medicine, Andalas University from August to October 2021. Forty-nine student midwives were selected through total sampling technique. Demographic information and motivation data were collected using the Motivated Strategies for Learning Questionnaire (MSLQ). Descriptive statistics, ANOVA/Kruskal-Wallis test, and Paired T-Test/Wilcoxon Rank-sum test were applied to analyze the data. A p-value of less than 0.05 was considered statistically significant. This study reported no significant differences between age and the MSLQ value components. Nonetheless, significant differences were found between parents' income with intrinsic motivation (p equals 0.012), task value (p equals 0.044), and self-efficacy (p equals 0.02). Furthermore, there was a significant difference between intrinsic motivation and residence (p equals 0.012) among the other value components. The mean scores for all value components of motivation increased after the case-based learning video intervention. Two value components (task value and efficacy) showed a significant difference (p-value 0.026 and 0.000). In conclusion, case-based learning video effectively improved motivation among students. Such finding is essential to developing suitable learning method for students.
Pan-immune-inflammation value in FMF patients
Authors: Ulutaş Firdevs , Aydın Muhammed
Published: June 2023

Objective: Familial Mediterranean fever (FMF) is the most common disease that leads to secondary amyloidosis related to persistent subclinical inflammation in Turkish patients. Pan-immune-inflammation value (PIIV), a recently-developed index validated to predict prognoses of several malignancies. We investigated PIIV in FMF patients.
Material and Methods: We included 100 FMF patients with regular follow-ups, defined as at least two visits yearly. Demographic characteristics, prominent attack features, and treatment choices of the patients were noted. We also calculated PIIV and other inflammation-related laboratory results at attack-free periods. In the comparative analysis of quantitative data, Student's t-test (for normal distribution) and the Mann-Whitney U test (for non-normally distribution) were used. P <0.05 was accepted as a statistically significant value.
Results: A total of 100 patients were included in the study. Forty-two patients were male, whereas fifty-eight patients were female. The patients were between 18 and 69 years old, and the mean age of the study group was 39.65 ± 13.83 years. MEFV mutation analyses of eighty-six patients were present in the medical record system. Exon 10 mutations were detected in 67 (77.9%) patients, whereas non-exon 10 mutations (exon 2 and 3) were in 8 (9.3%) patients. Homozygous Exon 10 mutations were detected in 19 patients (22.1%). Although acute phase reactants, including erythrocyte sedimentation rate (ESR), c-reactive protein (CRP), and serum amyloid A (SAA), were significantly higher in patients with homozygous exon 10 mutations, there was no statistical difference in PIIV between groups.
Conclusion: The results were also similar to the recent literature in the northern part of the country. The need for biological agents and male gender was significantly higher in patients with homozygous exon 10 mutations compared to other groups.
I-RIPRAP 3D Image Analysis Software: User Manual
Authors:   University of Illinois Urbana-Champaign, Huang Haohang , Luo Jiayi ,   University of Illinois Urbana-Champaign, Ding Kelin ,   University of Illinois Urbana-Champaign, Tutumluer Erol ,   University of Illinois Urbana-Champaign, Hart John ,   University of Illinois Urbana-Champaign, Qamhia Issam ,   University of Illinois Urbana-Champaign
Published: June 2023

Riprap rock and aggregates are commonly used in various engineering applications such as structural, transportation, geotechnical, and hydraulic engineering. To ensure the quality of the aggregate materials selected for these applications, it is important to determine their morphological properties such as size and shape. There have been many imaging approaches developed to characterize the size and shape of individual aggregates, but obtaining 3D characterization of aggregates in stockpiles at production or construction sites can be a challenging task. This research study introduces a new approach based on deep learning techniques that combines three developed research components: field 3D reconstruction procedures, 3D stockpiles instance segmentation, and 3D shape completion. The approach is designed to reconstruct aggregate stockpiles from multiple images, segment the stockpile into individual instances, and predict the unseen sides of each instance (particle) based on the partially visible shapes. The approach was validated using ground-truth measurements and demonstrated satisfactory algorithm performance in capturing and predicting the unseen sides of aggregates. For better user experience, the integrated approach has been implemented into a software application named “I-RIPRAP 3D,” with a user-friendly graphical user interface (GUI). This stockpile aggregate analysis approach is envisioned to provide efficient field evaluation of aggregate stockpiles by offering convenient and reliable solutions for on-site quality assurance and quality control tasks of riprap rock and aggregate stockpiles. This document provides information for users of the I-RIPRAP 3D software to make the best use of the software’s capabilities.
Electricity Demand Forecasting using LSTMs
Authors: Jeffee Jenson A. , Sowkarthikax S.
Published: June 2023

Electricity demand forecasting is an essential task in the energy industry, enabling utilities and energy suppliers to optimize the generation, transmission, and distribution of electricity. In recent years, deep learning techniques such as Long Short -Term Memory (LSTM) neural networks have shown great potential in improving the accuracy and efficiency of time-series forecasting tasks, including electricity demand forecasting. This research proposes an LSTM-based neural network architecture for short-term electricity demand forecasting. The proposed model is evaluated on real-world electricity demand data, and the results demonstrate its effectiveness in predicting future demand patterns. The model's performance is evaluated using the Mean Squared Error loss function and the Root Mean Squared Error metric. The proposed model shows promising results compared to traditional time-series forecasting models. The results suggest that LSTM-based neural networks can be a powerful tool for electricity demand forecasting, providing more accurate and efficient forecasting models that can help improve energy system planning and decision making.
A Smart Storage System and Non-Invasive Technique for Spoilage Detection
Authors: Parameswari C. , Rathnamala S. , Aasifa Banu R. , Vinothini V.
Published: June 2023

Fresh vegetables are widely recognized as a vital source of essential nutrients for a healthy diet, including vegetable sprouts which are consumed globally for their high nutritional value. Only high-quality fruits and vegetables are preferred by those who are health-conscious. Consequently, it is crucial to check the quality of fruits and vegetables. However, consuming raw vegetables poses a significant risk of transmitting intestinal parasites. With a growing awareness of quality in the food and health industry, there is an increasing need for research on defined quality production, preservation during marketing, and evaluation of quality parameters. By addressing these concerns, this proposed non-invasive system presents a promising technique for detecting the quality of stored fruits and vegetables. The suggested system can help ensure the availability of safe and nutritious produce for consumers, thereby contributing to the improvement of public health.
Penerapan Etika Bisnis Dalam Meningkatkan Penjualan UMKM di Era Digital
Authors: Muhamad Mukhamad Faizal Syahroni
Published: June 2023

Usaha Mikro Kecil Menengah ialah salah satu metode dalam menanggulangi kasus dalam perekonomian warga teutama di wilayah Indonesia. Dalam melaksanakan bisnis, pelaku Usaha Mikro Kecil Menengah mampu mendorong agar berkembang dalam berbisnis yaitu melakukan digitalisasi untuk memasarkan produknya. Dengan perihal ini munculah sistem etika dalam berbisnis yang bisa meluruskan kasus dalam berbisnis. Dalam pelaksanaan etika bisnis, sebagian perihal dalam ketentuan etika bisnis manajemen. Tata cara riset yang digunakan dalam penyusunan tulisan ini merupakan tata cara riset kualitatif, dan pendekatan yang terapkan ialah pendekatan riset literatur review, dengan metode mempelajari sebagian dokumen serta korelasi jurnal yang sesuai serta relevan dengan ulasan tentang pelaksanaan etika bisnis yang benar mampu meningkatkan pengetahuan dan cara pandang pelaku Usaha Mikro Kecil Menengah dalam penerapan etika bisnis. Peneliatian ini menegaskan bahwa pelaksanaan etika bisnis perlu di usahakan sebagai langkah merubah pemahaman baru dalam kegiatan bisnis UMKM. Pelaksanaan etika bisnis menampilkan pengaruh yang baik, serta mempengaruhi posistif dalam tingkatkan Usaha Mikro Kecil Menengah.
CRITERIA INSTRUMENTATION FOR ASSESSMENT THE FOREIGN LANGUAGE SPEECH COMPETENCE OF FUTURE ECONOMISTS
Authors: Sorokovykh G.V. , Andrukh A.O.
Published: June 2023

Problem statement. The article deals with the problem of conducting an objective procedure for assessment foreign language speech competence in a Technical University on the example of Economics students. Given the complexity of the procedure of assessment of foreign language competence, namely the competence structure is heterogeneous, it is necessary to consider the interdisciplinary base of the formation, competence is characterized by quantitative and qualitative criteria for the implementation of this process special attention should be given to the criteria instrumentation which would be directly correlated with the content of the educational program, reflect its and would be suitable for self-assessment of speech competence of the subjects. Results. The article presents the criteria instrumentation for assessment the foreign language speech competence of students of the economic direction in a systematic form. Based on the experience of scientists from foreign and domestic practices, as well as in accordance with the content of the educational program, group and individual criteria are identified, forming a criteria instrumentation for assessment this competence. For objective assessment at each stage of learning a foreign language, group and individual criteria are assigned a different weighting coefficient, derived from a survey of faculty staff of Moscow Polytechnic University. Conclusion. Given the complexity of the assessment of professional foreign language speech competence of an economist a rational use of the principle of criteriality asssessment of educational achievements allowing to get an idea about the level of development of different components of competence and the principle of vosprizvodit to ensure equality of ratings by teachers (self- assessment of students) in relation to the subject of evaluation.
BLENDED FOREIGN LANGUAGE LEARNING WITH INCREASED ONLINE COMPONENT: HYBRIDIZATION STRATEGIES AND EDUCATIONAL TECHNOLOGIES
Authors: Alexeeva E.A. , Buryakova S.Yu.
Published: June 2023

Statement of the problem. Recent reports from the OSCE, UNESCO, and the International Association of Universities have attempted to comprehend the impact of the Covid-19 pandemic on higher education. A broader use of blended learning is seen in these documents as one of the potential ways for developing university teaching. Based on official recommendations, the authors of the article substantiate the need to create a course of the French language for occupational purposes for students of the MA program "Language support for project development in the field of international cooperation" in a blended learning format with extensive online component. Results. A survey was conducted among the MA students and teachers in order to carry out needs analyses and analyse the feedback about the experience of learning a foreign language online during the lockdown due to Covid-19 pandemic in Russia. The results allowed to identify technical, methodological and personal risk factors that should be taken into account in the course design process. In addition, the review of scientific articles and recommendations of universities supported the process of selection of the principles underlying the course, as well as the approaches and technologies that determine the logic of its implementation. Conclusions. Blended learning as a transition between traditional face-to-face and distance online learning has great potential in the post-covid higher education. As the survey results has shown, students who have experience in learning a foreign language for occupational purposes in a blended learning format were more satisfied with the quality of online learning during the lockdown related to the spread of Covid-19. At the same time, technical and methodological factors have a decisive influence on the effectiveness of blended learning. They should be imperatively taken into account at the planning stage of the course design. This can be achieved by describing stages of delivery, clear instruction and a careful selection of online tools. The survey results and litterature review allowed to determine the approach, principles and technologies that underlie the course of French for occupational purposes for MA students of the program "Linguistic support for project development in the field of international cooperation."
Preliminary results of a non-interventional single-center study evaluating the efficacy of long-term use of lanadelumab in routine clinical practice in the Russian Federation
Authors: Latysheva Elena A. , Manto Irina A. , Aleshina Liubov V. , Bobrikova Elena N. , Viktorova Ekaterina A. , Gracheva Elena M. , Demina Darya V. , Fomina Daria S. , Shcherbina Anna Yu. , Latysheva Tatiana V.
Published: June 2023

BACKGROUND: Hereditary angioedema with C1 inhibitor deficiency is a rare disease caused by a deficiency and/or a decrease in the functional activity of the C1 inhibitor. The primary symptom of this condition is recurrent angioedema of various localizations. According to the modern concept of treatment, the therapy aims to stop emerging angioedema and prevent death as well as achieve complete control of the disease and a high quality of life. Lanadelumab is a modern medicine developed and used to prevent attacks in patients with hereditary angioedema aged 12 years.
AIM: A retrospective study (IISR-2021-200085) was conducted to evaluate the efficiency and safety of lanadelumab in real-life practice in Russia.
MATERIALS AND METHODS: In all, 16 patients with hereditary angioedema and C1 inhibitor deficiency were enrolled at the initiation of lanadelumab treatment. The patients were predominantly female (81%; 13/16). The average age of patients was 29.9 years; 19% (3/16) of the patients were adolescents. The effectiveness was evaluated by comparing the patient-reported attack rates. The following PROs for the adults only were assessed initially and during the treatment: angioedema activity score, angioedema control test (AECT), angioedema quality of life questionnaire (AE-QoL), and hereditary angioedema activity score. The incidences of adverse events were evaluated.
RESULTS: Before lanadelumab, 69% (11/16) of the patients received alternative long-term prophylaxis, which was canceled after the start of lanadelumab treatment. The average number of attacks per month and treated attacks per month prelanadelumab were 10 and 4.7 per patient, respectively. After 6 months of treatment, these values were 0.26 and 0.09, respectively (10 patients were symptom free at 6 months after the initiation of the treatment). After 3 months of treatment, the mean AECT values improved from 5.6 to 14.2 (p 0.001), and all patients showed adequate disease control. After 6 months of treatment, AE-QoL decreased from 58 to 19 (p 0.001). No serious adverse events related to lanadelumab were observed.
CONCLUSION: Our study demonstrated that the composite effect of lanadelumab minimizes the attack rate and improves the quality of life in patients with hereditary angioedema. A good safety profile of lanadelumab is shown.
EFFECTIVENESS OF MEASURES TO CONTROL MELON PESTS AND DISEASES IN THE CONDITIONS OF THE REPUBLIC OF KARAKALPAKSTAN
Authors: Yusupov Risnazar Orazbaevich  , Durshimbetov Ispandiyar Kerimbergenovich
Published: June 2023

The article presents measures to control diseases and pests, which are considered to be the main problems in the cultivation of melon crops in the conditions of the Republic of Karakalpakstan. The effectiveness of the use of a combined control system of pest and disease control measures has been determined. Autumn and spring agrotechnical measures in the destruction of pupas that have gone to the wintering, timely and moderate use of chemical preparations to control mature breeds and diseases, achieve high biological efficiency.
KEYWORDS: melon, pests, diseases, agrotechnical measures, chemical preparations, efficiency
Deformation Behaviors Investigation of CoCr Alloy Lattice Structures under Compression Test
Authors: AKBAY Özgün Ceren , Özdemir Burak , Bahçe Erkan , Emir Ender
Published: June 2023

ith the development of the additive manufacturing method, the production of lattice structures with complex geometries attracts increasing attention. These lattice structures can be designed with the desired properties, and they are encountered in many areas such as automotive, aerospace and aviation, and manufacturing industries, as they offer the freedom to control their physical, mechanical and geometric properties. The high strength characteristic of lattice structures that can be designed at any scale makes these structures useful for producing different designs. Since the mechanical responses of the lattice structures depend on the lattice design parameters, such as the large number of independent struts forming the lattice, cell size and cell geometry, the mechanical behaviour of these structures should be examined. In this study, a porous lattice structure with four different cell models, namely Dode Medium, Diamond, Rhombic Dodecahedron, and Dode Thin, was produced by Selective Laser Melting (SLM) method. In order to reveal the mechanical properties and deformation responses of the porous lattice structures, they were analyzed under compression test and by the finite element method, and experimental and numerical procedures were compared. The effect of the compression test on the lattice properties and how the deformation is distributed throughout the lattice structure were investigated. The finite Element Analysis and Digital Image Processing (DIP) method was used to determine how the lattices deform. The results obtained will be useful for designing new metallic lattice structures with more excellent deformation resistance in future studies.
Investigating the Evolution and Transmission of Emergencies in Large-Scale Events Using a Scenario-Based Representation Model
Authors: Li Ling , Zhou Haidong , Meng Junna , Gao Jia , Chen Yuan , Liu Bingsheng
Published: June 2023

Emergency often leads to a series of derivative and secondary emergencies during large-scale events, which can cause severe losses of human resources and property, as well as negative social effects. This study aims to clarify the evolution and transmission mechanism of emergencies
using a new scenario-based representation model, which enables decision-makers to deal effectively with various types of emergencies and thus achieve the goals of reducing potential risks, minimizing unnecessary loss, and maintaining public security in large-scale events. Then, based on this
model and using the 2022 Beijing Winter Olympics as an example, a hypothetical terrorist attack is proposed as the initial emergency to predict a network of subsequent emergencies. Furthermore, the rationality of the network built by the proposed model is verified by using the Bayesian network.
Potential Analysis of Bitcoin Cryptocurrency as a Future Investment Asset: A Systematic Literature Review
Authors: Jesika Silvia , Widya Pratiwi  , Deni Handani  , Hamirul
Published: June 2023

Despite this promising potential, it is important to remember that investing in Bitcoin also involves risk. The price of Bitcoin is very volatile, and its value can change dramatically in a short amount of time. In addition, regulations regarding cryptocurrencies are still unclear in many countries, and regulatory changes could affect the price and adoption of Bitcoin. Security is also an important factor, as Bitcoin can be vulnerable to cyberattacks and theft. This study aimed to conduct studies related to the potential of bitcoin cryptocurrency as an asset for future investment as well as the potential risks that exist in this asset. Literature search efforts are carried out by searching on search engines using certain keywords. Articles that match the inclusion criteria are reviewed in depth. Bitcoin's potential as a future investment alternative is highly dependent on factors such as value growth, institutional adoption, and developments in blockchain technology. Nonetheless, it is important to be aware of the risks associated with investing in cryptocurrencies and to carry out in-depth research and consulting before making any investment decisions.
Optimized Artificial Neural Network for the Classification of Urban Environment Comfort using Landsat-8 Remote Sensing Data in Greater Jakarta Area, Indonesia
Authors: Sari Nurwita Mustika , Kushardono Dony , Mukhoriyah Mukhoriyah , Kustiyo Kustiyo , Manessa Masita Dwi Mandini
Published: June 2023

The development of computer vision technology as a type of artificial intelligence is increasing rapidly in various fields. This method uses deep learning methods based on artificial neural networks, a well-performed algorithm in multi-parameter analysis. One of the development of computer vision models and algorithms is for a thematic digital image classification, such as environmental analysis. Remote sensing based digital image classification is one of the reliable tools for environmental quality analysis. This study aims to perform neural network optimization for the analysis of the urban environment comfort based on satellite data. The input data used are 4 types of geobiophysical indexes as urban environmental comfort parameters derived from cloud-free annual mosaics Landsat-8 remote sensing satellite data. The results obtained in this study indicate that the 1 hidden layer neural network architecture with 16 neurons for the classification of urban environmental comfort and 10 other land cover classes is quite good. The result of the classification using this optimized artificial neural network shows that the distribution of classes is very uncomfortable which dominates the Greater Jakarta area and its surroundings. For other classes in the study area, some are uncomfortable and rather comfortable.  By using this method, we obtained a fast classification training time of 18 seconds for 145 iterations to achieve an RMS Error of 0.01, and has a fairly high classification accuracy overall 89% with a Kappa coefficient of 0.88, while the 2 hidden layer neural network architecture does not succeed in achieving convergence
The Durability of Stone Matrix Asphalt (SMA) Mixtures Designed Using Reclaimed Asphalt Pavement (RAP) Aggregates Against Floodwater Immersion
Authors: Adiman Edi Yusuf , Sebayang Mardani , Ermiyati Ermiyati , Morena Yenita
Published: June 2023

The durability of asphalt mixtures against floodwater immersion can serve as a reference to anticipate potential road damage. Moreover, Reclaimed Asphalt Pavement (RAP) materials have been discovered as a substitute for aggregate materials in road pavement due to their environmental friendliness and cost-effectiveness. Therefore, this research aimed to assess the durability of asphalt mixtures produced using RAP aggregate materials against floodwater immersion for 1, 2, 4, and 8 days. The process involved using Stone Matrix Asphalt (SMA) mixtures with a proportion of 33% RAP aggregate as test specimens. The Marshall test conducted on the asphalt mixture produced an optimum asphalt content (OAC) value of 6.1%. Moreover, the durability of the mixture reduced up to the 8th day of immersion with a residual strength value of 86.29%. It was also discovered that the reduction in the durability value of the mixture produced using 33% RAP aggregate was almost similar to the application of 100% new aggregate (non-RAP). This means RAP aggregate materials are feasible as an environmentally friendly substitute in the mixture of road pavement.
Automatic Classification of Desmids using Transfer Learning
Authors: Pardeshi Rajmohan , Deshmukh Prapti
Published: June 2023

This research paper presents a novel approach to classifying microscopic images of desmids using transfer learning and convolutional neural networks (CNNs). The purpose of this study was to automate the tedious task of manually classifying microscopic algae and improve our understanding of water quality in aquatic ecosystems. To accomplish this, we utilized transfer learning to fine-tune 13 pre-trained CNN models on a dataset of five categories of desmids. We evaluated the performance of our models using several metrics, including accuracy, precision, recall, and F1-score. Our results show that transfer learning can significantly improve the classification accuracy of microscopic images of desmids, and efficient CNN models can further enhance performance. The practical implications of this research include a more efficient and accurate method for classifying microscopic algae and assessing water quality. The theoretical implications include a better understanding of the application of transfer learning and CNNs in image classification. This research contributes to both theory and practice by providing a new method for automating the classification of microscopic algae and improving our understanding of aquatic ecosystems
A Critical Study on Group Key Management Protocols and Security Aspects For Non-Networks
Authors: Jain Rituraj , Varshney Manish
Published: June 2023

The rise in internet usage and advanced communication systems has led to an increase in security issues. The need for more robust and flexible secure communication has led to the introduction of mobile non-network multicast communication systems like MANET or VANET. Multicasting is increasingly being used for group-oriented applications such as video conferencing, interactive games, TV over Internet, e-learning, etc. To address the security concerns, this paper highlighted the confidentiality, authentication, and access control for non-network multicast communication systems like MANET or VANET.  For this, paper explores the group key management protocols. The paper concluded that centralized and asymmetric group key management protocol (GKMP) is most effective for designing secure, and efficient communication models for non-networks. The key findings of the paper are that in group key management protocols (GKMPs) for multicast communication systems adoption of asymmetric GKMPs provides better security, and reduces computational overhead. Therefore, this paper help to improve the robustness and security of multicast communication systems and meet the growing demands of group-oriented applications over the internet.
The Potential of Sawdust and Coconut Fiber as Sound Reduction Materials
Authors: Nyumutsu Joseph , Agyei-Agyemang Anthony , Andoh Prince Yaw , Tawiah Peter Oppong , Asaaga Benjamin Atribawuni
Published: June 2023

In this study, biodegradable materials that could be utilized to reduce noise were examined. Sound absorption test was conducted with an impedance tube. Sawdust, coconut fiber, and expansive clay were used to create test samples. Noise reduction coefficient results for sawdust and expansive clay mixture ranged from 0.24 to 0.62. A mixture of coconut fiber and expansive clay recorded in noise reduction coefficient between 0.31 and 0.58. Coconut fiber mixed with expansive clay recorded noise reduction coefficient ranging from 0.31 to 0.58. The study findings suggests that these materials have good acoustic properties and can therefore be used as alternative noise reduction materials. These findings have important implications in reducing environmental pollution if adopted in the development of noise reducing materials.
Fotoalbum
Authors: Nyblom Sophie
Published: June 2023

Denna artikel baserar sig på min pro gradu-avhandling "Mitt liv i bilder" En studie om privata fotografier och fotoalbum som fästpunkter för levnadsberättelsen" (2005). Syftet med avhandlingen var att studera hur människor dokumenterar sina liv genom att fotografera och sortera sina bilder samt hur bilderna används för att berätta om dem och deras liv. Åtta kvinnor och fyra män i olika åldrar intervjuades om sina fotograferingsvanor och om sin relation till sina fotografier och fotoalbum. Denna artikel handlar om hur fotoalbum kan ses som visuella levnadsberättelser, en "bilderbok över livet", där fotografierna samtidigt fungerar som identitetsfästpunkter.
Bilden i Etnologiska arkivet
Authors: Hellman Katja
Published: June 2023

I Etnologiska arkivets bildarkiv finns idag drygt 64 000 registrerade bilder och några intressanta enskilda samlingar på ett hundratal bilder vardera. Bildernas ursprung spänner över en period från sekelskiftet 1800–1900 till nutid och bildarkivet växer årligen med ett hundratal bilder. Etnologiska arkivets bildarkiv utgör en värdefull bildbank som är tillgänglig för allmänheten och som kan användas vid illustration i artiklar, böcker och broschyrer eller som forskningsmaterial i olika sammanhang. Arkivets samlingar består till stora delar av material bland annat från Åboland, Österbotten och Nyland. I denna artikel ges en inblick i vilka motiv bildarkivets bilder har och i vilka sammanhang bilderna kan vara intressanta.
Bilden berättar
Authors: Rosenström Marika
Published: June 2023

Bildens dokumentationsvärde är obetydligt när det saknas uppgifter om tid och rum. Det är kontexten som ger fotot dess värde. Därför är det så viktigt att vi inte bara räddar gamla bilder från att förstöras - vår uppgift blir också att rädda uppgifter om dem. Det är t.ex. alltid intressant att veta om en bild är arrangerad, eller om den återger ett autentiskt skeende. En bildanalys som strävar efter att avtäcka de värderingar som bilderna ger uttryck för, går hand i hand med källkritiska aspekter. I den här presentationen av vad gamla fotografier kan berätta hämtar jag exemplen ur Folkkultursarkivets bildsamlingar. Jag koncentrerar mig på ett urval äldre bilder, tagna av några av arkivets mest namnkunniga fotografer. Det blir de gamla pärlorna som får stå i centrum.
Tillstånd för bidragets nätpublicering saknas. Om du äger rättigheterna och vill ge tillståndet, vänligen kontakta budkavlen@abo.fi.
Skeppsporträtt och kaptenstavlor i Sjöhistoriska institutets vid Åbo Akademi samlingar
Authors: Wilman Thomas
Published: June 2023

I och med grundandet av Sjöhistoriska Museet vid Åbo Akademi den 3 januari 1936 påbörjades en intensiv insamling av föremål och arkivalier till museet. Dels mottogs mängder av donationer, dels köptes bl.a. ett stort antal skeppsporträtt och kaptenstavlor in av både privatpersoner och antikhandlare. Tanken var att det sjöhistoriska museet i Åbo inte bara skulle representera staden och Åboland utan också beakta sjöfarten på riksplan och representera hela landet. I dag består samlingen, som är unik på våra breddgrader, av över 210 verk föreställande segel- och ångfartyg mellan åren 1775 och 2001. Den äldsta kaptenstavlan i samlingarna har en datering från 1775 och föreställer Conjuncturen med Matts Issberg från möjligtvis Wasa som skeppare.
Folkets upplevelser av modernisering av Finland
Authors: Ruotsala Helena
Published: June 2023

Recension av: Hilkka Helsti, Laura Stark & Saara Tuomaala (red.) 2006: Modernisaatio ja kansan kokemus Suomessa 1860–1960. Suomalaisen Kirjallisuuden Seura: Helsinki. 336 s.
Druider
Authors: Svanberg Jan
Published: June 2023

Recension av: Sjöblom, Tom 2006: Druidit. Tietäjiä, pappeja ja samaaneja. Tietolipas 200. Suomalaisen Kirjallisuuden Seura. Helsinki.
Lilla spökboken
Authors: Ekrem Carola
Published: June 2023

Recension av: Pieni kummituskirja. Tarinoita vuosien takaa. Toim. Kati Lampela. Ill. Aina Puttonen. Folklore. Suomalaisen Kirjallisuuden Seura. Helsinki 2006.187 s. ill
Från Sapfo till Cyborg
Authors: Sandell Karin
Published: June 2023

Recension av: Från Sapfo till Cyborg. ldéer om kön och sexualitet i historien, 2006. Red. Lena Lennerhed. Gidlunds förlag, Hedemora. 240 s.
Hanging on the telephone: Maintaining visuospatial bootstrapping over time in working memory
Authors: Allen Richard J. , Havelka Jelena , Morey Candice C. , Darling Stephen
Published: June 2023

Visuospatial bootstrapping (VSB) refers to the phenomenon in which performance on a verbal working memory task can be enhanced by presenting the verbal material within a familiar visuospatial configuration. This effect is part of a broader literature concerning how working memory is influenced by use of multimodal codes and contributions from long-term memory. The present study aimed to establish whether the VSB effect extends over a brief (5-s) delay period, and to explore the possible mechanisms operating during retention. The VSB effect, as indicated by a verbal recall advantage for digit sequences presented within a familiar visuospatial configuration (modelled on the T-9 keypad) relative to a single-location display, was observed across four experiments. The presence and size of this effect changed with the type of concurrent task activity applied during the delay. Articulatory suppression (Experiment 1) increased the visuospatial display advantage, while spatial tapping (Experiment 2) and a visuospatial judgment task (Experiment 3) both removed it. Finally, manipulation of the attentional demands placed by a verbal task also reduced (but did not abolish) this effect (Experiment 4). This pattern of findings demonstrates how provision of familiar visuospatial information at encoding can continue to support verbal working memory over time, with varying demands on modality-specific and general processing resources.
Evaluation of Customer Value of Securities and Investments Companies Using Quantitative Analysis
Authors: Salam Abdus , Rashid Mamoon Ur
Published: June 2023

This article focuses on user evaluation procedures for Chinese investment companies. It uses a clustering process to identify different categories of users and uses regression to evaluate and provide a score. These two factors serve as the basis for this organization to develop unique tactics for its various clients, which benefit both the company and its users. This project aims to serve existing customers better and reduce the risk of losing critical new customers. Clean the data to remove inactive accounts and outliers, and use logarithmic processing to limit the impact of high monetary values. This is due to the significant relationship between variables. Running algorithms on raw data is difficult. So, to condense many data dimensions, we use component analysis to define the three dimensions (amount, transaction amount, profit) that reflect consumer information. For clustering, we use the commonly known K-means clustering algorithm. Customers are classified into four categories using an angled approach. The four groups formed include the high trading frequency group, the large and profit group, the large and loss group, and the majority trading contract group. Use a regression Tree to perform regression based on reduced dimensions and their contributions. This model achieves 97% accuracy, indicating that the financial characteristics of the users are fundamental to the business. Additional discussion validates the clustering results using classification and regression methods on several contributing variables to provide further insight into each dimension.