bluuebunny/crossref_metadata_2025 huggingface dataset:
Developing and Evaluating an Artificial Intelligence Model for Malicious URL Detection
Authors: TİRYAKİ Fatih , ŞENTÜRK Ümit , YÜCEDAĞ İbrahim
Published: January 2023

Today, the increased use of the internet has become important in our lives and new communication technologies, social networks, e-commerce, online banking, and among other applications have a significant impact on the promotion and growth of business. In our study, we aimed to work with a large dataset and to achieve the best results in detecting malicious URL addresses using an artificial intelligence model. A 7-layer RNN model was used in the study, and two similar national and international datasets were combined and merged to create a big new dataset consisting of 579,112 URL addresses. Then, this new data set is divided into training and test sets. first data set was trained at the model and then the second data set was processed test. When this data set was processed in our model, we achieved a success rate of over 91%. This rate is a very good result of detecting malicious url addresses. Your contribution with this work is significant in developing more effective methods for detecting harmful sites as internet usage increases, parallel use of artificial intelligence models makes detection of such sites more effective and potentially assist users in protecting from various types of cyber-attacks is targeted.
Laminoplasty versus Laminectomy in the Treatment of Primary Spinal Cord Tumors in Adult Patients: A Systematic Review and Meta-analysis of Observational Studies
Authors: Byvaltsev Vadim , Polkin Roman , Kalinin Andrei , Kravtsov Maxim , Belykh Evgenii , Shepelev Valerii , Satardinova Elmira , Manukovsky Vadim , Riew K. Daniel
Published: January 2023

The present systematic review and meta-analysis was conducted to compare the safety and efficacy of the two approaches for primary spinal cord tumors (PSCTs) in adult patients (laminoplasty [LP] vs. laminectomy [LE]). LE is one of the most common procedures for PSCTs. Despite advantages of LP, it is not yet widely used in the neurosurgical community worldwide. The efficacy of LP vs. LE remains controversial. Adult patients over 18 years of age with PSCT at the level of the cervical, thoracic, and lumbar spine were included in the study. A literature search was performed in MEDLINE via PubMed, EMBASE, The Cochrane Library, and Google Scholar up to December 2021. Operation time, hospital stay, complications, and incidence of postoperative spinal deformity (kyphosis or scoliosis were extracted. A total of seven retrospective observational studies with 540 patients were included. There were no significant differences between LP and LE group in operation time (p =0.25) and complications (p =0.48). The LE group showed larger postoperative spinal deformity rate than the LP group (odds ratio, 0.47; 95% confidence interval [CI], 0.27−0.84; p =0.01). The LP group had a shorter hospital stay (standardized mean differences, −0.68; 95% CI, −1.03 to −0.34; p =0.0001) than the LE group. Both LP and LE have comparable operative times and total complications in the treatment of PSCT. LP was superior to LE in hospital stay and postoperative spinal deformity rate. However, these findings are limited by the very low quality of the available evidence. Randomized controlled trials are needed for further comparison.
Pelatihan Pembuatan Media Pembelajaran Interaktif Berbasis Mobile Learning Pada Kelompok Guru Bahasa Indonesia Se-Bengkulu Tengah
Authors: Fina Hiasa  , Wisman Wisman , Rahayu Ngudining
Published: January 2023

Tujuan kegiatan PPM ini adalah untuk meningkatkan pengetahuan dan keterampilan guru mengenai pengembangan media pembelajaran berbasis mobile learning berbantuan aplikasi canva. Metode yang digunakan pada kegiatan pengabdian ini adalah pelatihan dengan presentasi narasumber, tanya jawab, serta praktik pembuatan media pembelajaran. Instrumen yang digunakan pada pengabdian ini adalah angket dimana terdapat angket awal dan akhir untuk mengetahui tingkat pengetahuan guru atas materi yang disampaikan oleh tim pelaksana pengabdian, selain itu juga terdapat indikator keberhasilan dimana pengabdian dikatakan berhasil apabila total skor peserta adalah >70 poin. Hasil dari pelaksanaan pengabdian menunjukkan bahwa terjadi peningkatan pengetahuan peserta pelatihan berdasarkan angket awal dan akhir yang tim sebarkan. Pengetahuan yang dimaksud berkaitan dengan proses pembuatan media pembelajaran berbasis mobile learning. Skor akhir yang diperoleh dari keseluruhan indikator adalah sebesar 80 poin artinya skor tersebut telah melampaui melampaui skor minimal. Dengan kata lain pelaksanaan pelatihan pembuatan media pembelajaran interaktif berbasisi mobile learning telah berhasil dilakukan. Selanjutnya para peserta pengabdian diharapkan dapat menyebarkan pengetahuan yang didapatkan mengenai pembuatan media pembelajaran berbasis mobile learning kepada para guru lainnya.
The effect of cyberloafing behaviors on smartphone addiction in university students: The mediating role of fear of missing out
Authors: GÜRBÜZ Fatmagül , BAYRAKLI Mehmet , GEZGİN Deniz Mertkan
Published: January 2023

With the increase in smartphone use, smartphone addiction has gained immense popularity and there has been a lot of research into smartphone addiction. Nonetheless, research examining the complex relationships between cyberloafing and smartphone addiction is still insufficient. Thus, the present study aims to establish the mediating role of fear of missing out, which is a cognitive and emotional process, in the effect of university students’ level of cyberloafing upon their smartphone addiction level. The study group of the research is represented by 338 students receiving formation training in the faculty of education, at a state university. For the purpose of data collection, the Smartphone Addiction Scale - Short version, the Cyberloafing Scale, and the Fear of Missing Out Scale were used. The model was tested using structural equation modeling and bootstrapping. Structural equation modeling results provide evidence of indirect effects of cyberloafing on smartphone addiction partial mediated by fear of missing out. According to the Bootstrapping method, fear of missing out has an indirectly significant role in the relationship between cyberloafing and smartphone addiction. The findings emphasized the role of fear of missing out in explaining the relationship between cyberloafing and smartphone addiction. The study concludes by discussing relevant conclusions in the literature, and putting forth several recommendations based on these conclusions.
Computerized corpus as a tool for educational technology and learning in the analysis of four-word recurrent expressions
Authors: ÖZBAY Ali Şükrü , GÜRSOY Zehra
Published: January 2023

The study aimed to investigate the disciplinary variations and the structural/functional features of recurrent expressions in the introduction and literature sections of the Master of Arts (MA) theses in two corpora. It is significant since the bundles fulfil specific functions in the form of formulaic language. The sampling of the study was Turkish and British academic writers. Their essays mainly based on academic argumentative topics were selected as analysis data. Data collection included compilation and categorization of the computerized corpora for possible differences and similarities. Sketch Engine, an online text analysis tool, was used for the analysis. Exploring the usage patterns of recurrent expressions among the native and non-native corpora, we also analysed the four-word recurrent expressions and featured the existing variations of functional and structural aspects. Cross-linguistic analysis revealed that Turkish writers distinguish some features of recurrent expressions more than others Structural expressions encompassed the verb-based, noun and propositional structures. The research, text, and participant oriented recurrent expressions built up the functional groups. The most frequently used functional categories were location and description in research-oriented recurrent expressions. The findings also indicated a positive role of recurrent expressions in the learning of the disciplinary features. Structural similarities were also found, indicating strong functional features for constructing discourse in research writing. The implication is that creating appropriate academic discursive practices with a focus on the properties of the recurrent expressions can be better analysed by employing several online corpus tools.
A study of an online cyber identity course designed on the basis of the community of inquiry model
Authors: SANCAR Raziye , ATAL Deniz , KUŞCU Ebru , BARUTÇU YILDIRIM Funda
Published: January 2023

The current study examines whether an online cyber identity course, which was based on the community of inquiry model, significantly affected the self-efficacy perception of school counselor candidates (SCC) in terms of technology integration. Forty-four SCC, selected using the criterion sampling method, participated in a mixed-method design study by taking a one-week online cyber identity course. The online version of the Computer Technology Integration Survey (CTIS) was used as a pre and post-test measure to collect quantitative data. Two subscales are used in the survey to measure the self-efficacy of participants. Qualitative data was collected through the use of a structured interview form which included open-ended questions regarding the social, cognitive, and teaching presence of the community of inquiry model. T-tests were conducted to detect any significant differences between the pre and post-test scores of the CTIS subscales. The results of these tests revealed that the online cyber identity course created significant differences in both SCC’s self-efficacy perception of the computer technology capabilities and strategies, and the external influences of computer technology uses. Moreover, qualitative analysis results showed that students reflected more on cognitive and teaching presence than on social presence.
Legal Consequences For a PPAT Sale and Purchase Deed’s to Buyers Who Dont Own the Object of Sale and Purchase
Authors: Septiana Risa , M. Sudirman  , Erny Kencanawati
Published: January 2023

Currently, the need for authentic certificates as evidence is increasing along with the increase in business relationships in various business fields, both on a local and international scale. Most people acquire land by buying and selling. In preventing land problems so that conflicts do not occur in the community, it is necessary to have regulation, control and use of land regulated in the BAL. This study uses a normative juridical law approach with sufficient literature so that secondary data is also needed. The theory of legal certainty is also discussed in this study, because it is fair and implemented normatively, not sociologically. The Civil Code, the sale and purchase of land is essentially a transfer of land rights to other parties/persons in the form of land sellers to land buyers. Buying and selling in customary law is a legal act of transferring land rights by paying the price at the same time in cash.
Legal Framework Regulating Switching and Disciplining of Members of Political Parties:
Authors: Ombella John Sebastian
Published: January 2023

Globally, political parties seem to be common vehicle through which general public participates in governmental decision-making. This is influenced by the increased democratization evidenced by many countries’ adoption of multipartyism. Consequently, South Africa’s (SA) and Tanzania’s legal frameworks are not exception. Despite such influence Tanzania in particular, improperly regulate switching and disciplining of members of political parties. Through a human right approach this paper carries out a comparative review of SA and Tanzanian legal frameworks on regulation of switching and disciplining of members of political parties. The qualitative analysis of documents reviewed shows SA has adopted constitutional principles the basis of which regulation of political parties contribute to popular participation and elimination of improper switching and disciplining of members of political parties. Tanzania’s legal framework is informed by SA on; cessation of political party membership while retaining the membership in decisions making organs and disciplining of members of political parties.
The Portrait of Small and Medium Enterprises (SMEs) and the Main Obstacles Faced by Businesses: Evidence from Bukedi Sub-region of Uganda
Authors: Mugoda Salmon , Stella Dyubhele Noluntu
Published: January 2023

This paper uses primary data to examine the portrait and obstacles faced by SMEs in Bukedi sub-region, Uganda. Evidence suggests that most businesses surveyed (57.6%) were one-man ventures where self-employed people solely managed their enterprises. This indicts the perceived role of SMEs to employment growth and poverty reduction. With the exception of seemingly technical fields like drug-shop business, people without formal education and early leavers exhibited formidable entrepreneurial orientation in non-skill-oriented businesses. This included selling essential products (72.3%), food (100%), produce (57.2%) and running restaurants (81.8%). Therefore, the decision to undertake a specific business might have been determined by the level of education of entrepreneurs. The empirical results further indicate that the factors motivating business start-ups were both “push” and “pull” factors. For the former, circumstances forced unemployed individuals (66.8%) to start business to help themselves, whereas in the latter scenario, attractive conditions lured people (33.2%) into starting business. The study recommends that to augment SME performance, government needs to become solution oriented and initiate robust supportive strategies in areas of regulatory framework, electricity, finance, and enhancing purchasing power. This has got massive potential to revitalise the sector for Bukedi’s economic transformation and development.
Keputusan Mahasiswa Menggunakan Jasa Perbankan Syariah : Apakah Pengaruh Literasi Keuangan Syariah ?
Authors: Yulianti Elvinda , Wahyuni S Elmiliyani , Suwardi Suwardi , Candra Revi
Published: January 2023

This study aims to determine the effect of Islamic financial literacy on the decisions of students majoring in Islamic banking at the Faculty of Economics and Islamic Business IAIN Batusangkar in the use of Islamic banking services. This type of research is field research with an associative descriptive quantitative approach. The analysis technique uses simple linear regression. Data collection techniques using questionnaires from sample data as many as 85 people. The results showed that Islamic financial literacy had a positive and significant effect on the decisions of students majoring in Islamic banking in using Islamic banking services with a contribution of 58.9%. The rest is influenced by other variables not examined in this study
Nosocomial infections in a Surgical Floor of the General Ba’qubah Hospital; Iraq
Authors: Al-Kharkhi Mohammed A. , Mohammed Zeiny Sarmad M. , Ali Samara M.
Published: January 2023

Background: Prevention against nosocomial infection is an important issue of health care field and considered a challenge of patients’ since it reflects its effect on their quality of life. This due to that it will lead in most cases to prolonged hospitalization and also more cost.Objective: To determine the prevalence of different types of nosocomial infection and to demonstrate the association of different risk factors (hospital environment, workers, visitors) with nosocomial infection.Patients: this study was carried out in eleven months at Ba’quba general Hospital; Iraq. A total of 81 clinical specimens (urine, pus from abscess , burn swab, nasal swab, ear swab and wound swab) taken from surgical patients,102 specimens from hospital workers,50 specimens from patient visitors,335 specimens from hospital environment and 64 specimens from 18 newly admitted patient were studied.Methods: all microorganisms which were isolated from patients, workers, visitors control group and environment were identify using standard bacteriological and mycological methods.Results: the present findings demonstrates that the percentage of nosocomial infection (N.I) types found to be highest with urinary tract infections 21 (40%), followed by surgical site infections 19 (35.8%) and respiratory tract infection 12 (23%).Conclusion: most of the isolated microorganisms were resistant to antibiotics and most of them have ability to produce β-lactamase enzyme
Immunohistochemical Expression of Epidermal Growth Factor Receptor in Human colorectal Adenocarcinoma (A clinicopathological study)
Authors: AbdulGhafour Kifah h. , Al- khafaji Khitam R. , Al-Atroushi Sazan A.
Published: January 2023

Background: Colorectal Adenocarcinoma contributes one of the most common malignancies and the second leading cause of death from cancer in the western world. Epidermal growth factor receptor (EGFR) belongs to a family (ErbB-tyrosine receptors), EGFR plays an important role in the pathogenesis of colorectal cancer.Objectives: to evaluate the immunohistochemical expression of epidermal growth factor receptors (EGFR) in colorectal adenocarcinoma and to correlate this expression with different clinicopathological parameters.Pateints and method: In this study clinicopathological parameters of twenty five colorectal adenocarcinoma cases diagnosed in private pathology laboratories in Baghdad /Iraq from November 2012 to September 2013 were respectively evaluated in terms of age, gender, pathological diagnosis including; tumor location, lymph node status. EGFR expression was investigated immunohistochemically.Results: twenty five colorectal cancer patients were included in this study with median age 54.5, range from (28-81)years, 15 cases (60%) were female and 10 (40%) cases were male. Tumor size range from 3-10 cm with mean 6.5 cm, 10 (40%) cases were from rectum, 7 (28%) from the right side colon & 8 (32%) cases were from from left side colon. Twenty three (92%) cases were moderately differentiated, and two (8%) cases were poorly differentiated, five (20%) cases were T1, 10 (40%) cases were T2, 5 (20%) cases were each T3 & T4 respectively. 3 (12%) cases were N1, 7 (28%) cases were N2, and fifteen (60%) cases have no lymph node involvement. Three (12%) cases with distant metastasis. Eighteen (72%) cases of colorectal adenocarcinoma demonstrate EGFR reactivity in > 1% of the tumor cells. No significant statistical correlation was noticed between EGFR expression and each of age, gender, site of the tumor and grade of tumor (P value > 0.05). A significant statistical correlation was noted between EGFR expression and local tumor invasion (T) and lymph node involvement (p value <0.05).Conclusion: Epidermal growth factor receptor plays an important role in colorectal adenocarcinoma oncogenesis. EGFR expression appears to have a value as a prognostic biomarker, since it’s expression by the tumor cells is significantly correlated to lymph node involvement and tumor local invasion.
Guided node graph convolutional networks for repository recommendation
Authors: Tan Guoqiang , Shi Yuliang , Wang Jihu , Li Hui , Chen Zhiyong , Wang Xinjun
Published: January 2023

Knowledge graph (KG) has been widely used in the field of recommender systems. There are some nodes in KG that guide the occurrence of interaction behaviors. We call them guided nodes. However, the current application doesn’t take into account the guided nodes in KG. We explore the utility of guided nodes in KG. It is applied in repository recommendations. In this paper, we propose an end-to-end framework, namely Guided Node Graph Convolutional Network (GNGCN), which effectively captures the connections between entities by mining the influence of related nodes. We extract samples of each entity in KG as their guided nodes and then combine the information and bias of the guided nodes when computing the representation of a given entity. The guided nodes can be extended to multiple hops. We evaluate our model on a real-world Github dataset named Github-SKG and music recommendation dataset, and the experimental results show that the method outperforms the recommendation baselines and our model is much lighter than others.
Bayesian estimation of decay parameters in Hawkes processes
Authors: Santos Tiago , Lemmerich Florian , Helic Denis
Published: January 2023

Hawkes processes with exponential kernels are a ubiquitous tool for modeling and predicting event times. However, estimating their decay parameter is challenging, and there is a remarkable variability among decay parameter estimates. Moreover, this variability increases substantially in cases of a small number of realizations of the process or due to sudden changes to a system under study, for example, in the presence of exogenous shocks. In this work, we demonstrate that these estimation difficulties relate to the noisy, non-convex shape of the Hawkes process’ log-likelihood as a function of the decay. To address uncertainty in the estimates, we propose to use a Bayesian approach to learn more about likely decay values. We show that our approach alleviates the decay estimation problem across a range of experiments with synthetic and real-world data. With our work, we support researchers and practitioners in their applications of Hawkes processes in general and in their interpretation of Hawkes process parameters in particular.
An adaptive active learning algorithm with informativeness and representativeness
Authors: Lv Qiuyue , Dong Minggang
Published: January 2023

Active learning focuses on selecting a small subset of the most valuable instances for labeling to learn a highly accurate model. Considering informativeness and representativeness of unlabeled instances is significant for a query, some works have been done about combing informativeness and representativeness criteria. However, most of them are generally in a fixed manner to balance these criteria, and difficult to find suitable sampling strategies and weights of informativeness and representativeness for various datasets. In this paper, an adaptive active learning method ALIR is proposed to address these limitations. Firstly, an adaptive active learning framework is represented, in which the weight of informativeness and representativeness criteria can be dynamically updated by the feedback of previous learning processes. Secondly, by formulating the active learning as a Markov decision process, ALIR can adaptively select the suitable sampling strategies according to the reward of the learning process. Finally, extensive experimental results over several benchmark datasets and two real classification datasets demonstrate that ALIR outperforms several state-of-the-art methods. Different from traditional active learning algorithms, ALIR can adaptively select sampling strategies and adjust the weights simultaneously, which helps it more feasible in the application.
Impaired Early Insulin Response to Glucose Load Predicts Episodic Memory Decline: A 10-Year Population-Based Cohort Follow-Up of 45–74-Year-Old Men and Women
Authors: Toppala Sini , Ekblad Laura L. , Viitanen Matti , Rinne Juha O. , Jula Antti
Published: January 2023

Background: Diabetes increases the risk for cognitive decline, but the mechanisms behind this association remain unknown. Impaired early insulin secretion in elderly men and insulin resistance, both of which are pathophysiological features of type 2 diabetes, have previously been linked to Alzheimer’s disease. Objective: To examine if the early insulin response to oral glucose load predicts cognitive performance after 10 years in men and women aged 45-74 years. Methods: This study was based on a subpopulation of the Health 2000 Survey, a Finnish nationwide, population-based health examination study, and its follow-up, the Health 2011 Study. In total, 961 45–74-year-old individuals (mean age at baseline 55.6 years, 55.8% women) were examined. An oral glucose tolerance test was performed in 2001–2002, and early insulin response was defined as the ratio of the 30-min increment in insulin concentration to that of glucose concentration. Cognitive function was evaluated at baseline and follow-up with categorical verbal fluency, word-list learning, and word-list delayed recall. Statistical analyses were performed using multivariable linear models adjusted for age, sex, education, APOE &z.epsi;4 genotype, vascular risk factors including diabetes, and depressive symptoms. Results: A lower early insulin response to glucose load predicted lower performance (β: 0.21, p = 0.03) and greater decline (β: 0.19, p = 0.03) in the word-list delayed recall test. Baseline early insulin response did not predict verbal fluency or word-list learning (all p-values≥0.13). Conclusion: Our results suggest that decreased early insulin secretion predicts episodic memory decline in middle-aged to elderly men and women.
Bacteria evade antibiotics with silent mutations to survive
Authors: Bandre Gulshan , Bankar Nandkishor , Makade Jagadish , Hawale Dattu
Published: January 2023

Bacteria may develop antibiotic resistance due to unintentional DNA alterations that give them a survival advantage. Bacteria may develop antibiotic resistance due to unintentional DNA alterations that give them a survival advantage. Finding genetic changes and understanding how they enable bacteria to withstand antibiotic attacks will be crucial to our ability to develop new medications to combat them.
Detection method of limb movement in competitive sports training based on deep learning
Authors: Wang Yichen , Zhang Pei , Wang Yi
Published: January 2023

Human posture detection is easily affected by the external environment, resulting in blurred results of limb feature extraction. In order to improve the accuracy and speed of human motion detection, this paper proposes a deep learning-based motion detection method in competitive sports training. The double parallel convolution network algorithm in the depth learning algorithm is used to process the collected action information, extract the body action features, and greatly reduce the operation scale; With the help of the theory of motion mechanics, the mechanical parameters in the motion process are calculated to eliminate outliers and reduce feature dimensions; With the help of motion inertial sensors and joint degrees of freedom, the limb motion detection results are obtained. The experimental results show that the average recognition rate of the method for different motion actions is 99.5%, and the average detection time is 148 ms, with good application performance.
Speech data system and computer database design based on improved genetic algorithm
Authors: Zhang Weiwei
Published: January 2023

In the intelligent age, computers are required to help people complete simple daily work. Among them, computer voice databases and systems occupy a very important position in the field due to their wide application. In order to optimize the system design method, the application of IGA algorithm is proposed, and the performance of the model under the algorithm is compared and tested. The algorithm experiment shows that when the IGA objective function value is 34.4, there is no change, and the number of iterations is 100; Compared with the traditional genetic algorithm, the value of the optimal solution is always the minimum. Then the error of the optimal solution under different algorithms is compared and analyzed. It is found that the error of the optimal solution under IGA operation has the minimum value of 0.0079; The experiment of speech recognition efficiency shows that the speech recognition rate under the intervention of IGA algorithm has increased by 8%, and the overall efficiency is higher than 95%. It can be seen from the above results that IGA is helpful to the acquisition of voice database data, and improves the recognition efficiency. The feasibility of the method is high, which is of great significance to the development of China’s intelligent system industry. But at present, the overall progress of the voice system is still limited, so expanding research methods to apply to the field of voice system is still the next research direction that can be explored.
Method based on the support vector machine and information diffusion for prediction intervals of granary airtightness
Authors: Li Jianping , Guo Chengzhou
Published: January 2023

Granaries should have good airtightness to reduce grain loss in storage. Prediction of granary airtightness at the design stage is beneficial in improving granary design. This paper proposes a method for the prediction interval (PI) of granary airtightness by using small sample data, which can guide designers with granary design. PI that the probability of the true target falling in it is markedly close or larger compared with the confidence level can be the decision basis of the granary design scheme. This study adopts support vector machine as the regression model trained by the airtightness data set of built granaries, and obtains the probability distribution of regression errors through information diffusion. The probability interval of errors is derived using a search algorithm, and PIs of granary airtightness can be acquired thereafter. Assessment indexes of PIs with confidence levels of 0.8 and 0.9 indicate that the proposed method can achieve confidence level and is superior to the comparative method using artificial neural network and bootstrap for PIs in cases of only a few samples. Thus, an innovative and feasible method is proposed for the computer-aided design of granary airtightness.
Fault diagnosis of large-scale industrial processes using the multi-block probabilistic kernel partial least squares method
Authors: Xie Ying , Zhu Yuan , Lu Zhenjie
Published: January 2023

In view of the large-scale and high-dimensional problems of industrial data and fault-tracing problems, a fault detection and diagnosis method based on multi-block probabilistic kernel partial least squares (MBPKPLS) is proposed. First, the process variables are divided into several blocks in a decentralized manner to address the large-scale and high-dimensional problems. The probabilistic characteristics and relationship between the corresponding process variables and the quality variables of each block are analyzed using latent variables, and the PKPLS model of each block is established separately. Second, the MBPKPLS model is applied to process monitoring, statistics of each block are established in a high-dimensional space, and the monitoring indicators in each block are used to detect faults. Third, based on fault detection, the multi-block concept is further used to locate the cause of fault, thereby solving the problem of fault tracing. Finally, a numerical example and the penicillin fermentation process (PFP) are used to test the effectiveness of the MBPKPLS method. The results demonstrate that the proposed method is suitable for processing large-scale, high-dimensional data with strong nonlinear characteristics, and the MBPKPLS process monitoring method is effective for improving the performance of fault detection and diagnosis.
Proposed distance and entropy measures of picture fuzzy sets in decision support systems
Authors: Van Pham Hai , Thai Kim Phung , Nguyen Quoc Hung , Le Duy Dong , Le Thanh Trung , Nguyen Thi Xuan Dao , Phan Thi Thuy Kieu , Thao Nguyen Xuan
Published: January 2023

The picture fuzzy set is an extension of the fuzzy and intuitionistic fuzzy set for solving real-world problems. Entropy and distance measures play significant roles in measures for solving problems involving fuzzy environments. This paper has presented some new distance and entropy measures using picture fuzzy sets to solve problems of medical diagnosis and multi-criteria decision making problems. In addition, the entropy measure is induced from the distances of picture fuzzy sets in order to determine entropy measure of picture fuzzy sets. The proposed methods combined entropy and distance measures to construct the Technique for Order of Preference by Similarity to Ideal Solution model to solve multi-criteria decision making problem. To validate the proposed methods, some numerical examples are given to demonstrate new measurements. The efficiency of the measure is proven by comparison to other measures when solving medical diagnosis in multi-criteria decision making for illustrations in numerical COVID-19 medicine selection.
Network life time augmentation of WSN through efficient energy using GAN algorithm
Authors: Satyanarayana Murthy N. , Venkata Subbaiah G.
Published: January 2023

The minimal energy sensor nodes are critical to the long-term viability of any wireless sensor network WSN). Clustering is used for this purpose. Choosing an efficient Cluster Head (CH) is critical in such cluster-based networks, as they are accountable for aggregating and transmitting data from their associate nodes to the base station (BS). A Generative Adversarial Networks (GAN) is proposed in this work to improve the selection of CH. As part of the fitness function, nodes’ residual energy, average energy, and inter-cluster distance are all considered. In an effort to further reduce energy consumption, a GAN routing method is proposed for use at the base station level for Efficient Energy. Simulations are used to evaluate the proposed ideal.The WSNs which require long life time with minimum cost sensors demand the proposed work. The research about the human unattainable places can be fit to necessitate this work. This method supports the maintenance of mines and petroleum refineries. In terms of energy consumption and network life expectancy, the results demonstrate a substantial improvement. And also, the proposed technique is analyzed and compared along with the existing approaches as Low-Energy Adaptive Clustering Hierarchy (Security based (S-LEACH), Cluster based (C-LEACH, More Energy Efficient-LEACH) (ME-LEACH) schemes. The proposed method detects the best location of storage-nodes for the sensor network. There is no need of agitation on battery drain up of storage-nodes (because of wireless recharge) which is a highly energy spending unit. The proposed method improves the network lifetime by a significant level. The proposed method is best fit to mines, petroleum refineries, forest department and military. The proposed method behaves as not only better storage scheme but also best fit to retrieval schemes.
A new approach for coordinating generated agents’ plans dynamically
Authors: Dehimi Nour El Houda , Guerram Tahar , Tolba Zakaria
Published: January 2023

In this work, we propose a new approach for coordinating generated agents’ plans dynamically. The purpose is to take into consideration new conflicts introduced in new versions of agents’ plans. The approach consists in finding the best combination which contains one plan for each agent among its set of possible plans whose execution does not entail any conflict. This combination of plans is reconstructed dynamically, each time agents decide to change their plans to take into account unpredictable changes in the environment. This not only ensures that new conflicts are likely to be introduced in the new plans that are taken into account but also it allows agents to deal, solely, with the execution of their actions and not with the resolution of conflicts. For this, we use genetic algorithms where the proposed fitness function is defined based on the number of conflicts that agents can experience in each combination of plans. As part of our work, we used a concrete case to illustrate and show the usefulness of our approach.
Analysis of thiocyanate content in selected cruciferous vegetables (Cruciferae)
Authors: Przybylska Anna , Mariańska Aleksandra , Koba Marcin
Published: January 2023

Przedmiot badań
Warzywa krzyżowe (Cruciferae) to grupa roślin będąca popularnym elementem w diecie Polaków. Do warzyw krzyżowych należą m.in: kapusta głowiasta, brokuł, kalafior, brukselka, jarmuż, szpinak oraz rzepak. Rośliny krzyżowe są przedmiotem zainteresowania medycyny ze względu na ich aktywność przeciwnowotworową. Działanie chemoprewencyjne związane jest z obecnością glukozynolanów i produktów ich hydrolizy: tiocyjanianów, izotiocyjanianów i nitryli. Związki te zapobiegają rozwojowi nowotworów: piersi, płuc, prostaty oraz jelita grubego. Jednak nadmierne spożycie tiocyjanianów może skutkować zmniejszonym wytwarzaniem hormonów tarczycy. W dostępnym piśmiennictwie brakuje danych dotyczących ilości tiocyjanianów w warzywach krzyżowych oraz ilości ich spożycia przez Polaków.
Cel badań
Celem pracy badawczej było oznaczenie zawartości tiocyjanianów i porównanie ich w dziewięciu warzywach krzyżowych (Cruciferae). Materiał badany stanowiła kapusta głowiasta, kalafior, brokuł, szpinak, jarmuż, brukselka, kapusta pekińska oraz pak choi i kiełki brokułu. Ponadto celem było również porównanie zawartości tiocyjanianów w obrębie jadalnych różnych części tej samej rośliny (liście i łodygi kapusty pekińskiej i pak choi) oraz porównanie zawartości tiocyjanianów w kiełkach brokułu, jak również w jego różyczkach.
Materiał i metody
W badaniach wykorzystano metodę kolorymetryczną. Ekstrakcja tiocyjanianów była prowadzona z zastosowaniem 5 % kwasu trichlorooctowego. Tiocyjaniany w środowisku kwaśnym reagując z jonami Fe3+ tworzą kompleksy o krwistoczerwonym zabarwieniu. Produktami reakcji są kompleksy od Fe(SCN)2+ do Fe(SCN)63-. Pomiary absorbancji zostały wykonane przy użyciu spektrofotometru UV-VIS przy długości fali 470 nm.
Wyniki
Stężenie tiocyjanianów oznaczonych w warzywach krzyżowych było zróżnicowane, jednak najczęściej mieściło się ono między 10 ÷ 20 mg/kg s.m. Spośród badanych warzyw krzyżowych najwyższą zawartość tiocyjanianów oznaczono w szpinaku (0,420 mg/100 g świeżej masy) oraz w kiełkach brokułu (0,295 mg/100 g świeżej masy). Liście kapusty pekińskiej oraz pak choi były bogatszym źródłem tiocyjanianów niż ich łodygi. Stężenie tiocyjanianów w kiełkach brokułu było kilkukrotnie wyższe niż w różyczkach brokułu.
Wnioski
Badania pokazały, że stężenie tiocyjanianów różni się w obrębie tej samej rośliny. Zawartość tiocyjanianów jest różna w zależności od badanej tkanki roślinnej. W przeprowadzonym badaniu najbogatszym w tiocyjaniany warzywem krzyżowym był szpinak. Ze względu na około sześciokrotnie wyższe stężenie tiocyjanianów w liściach kapusty białej i pak choi niż w ich łodygach, korzystniejsze jest przyrządzanie potraw z wykorzystaniem liści kapusty.
Building Laws and Public Health: An undergraduate elective pedagogy for architecture students sensitising on the role of building practitioners in preventing disease through the built environment.
Authors: Singh Raja
Published: January 2023

This short communication describes an academic semester-long choice-based elective program that was offered to students of senior classes of bachelor of architecture. This has not been written in the form of a research study. The intent of this communication is to document and share the work with practitioners and the academia. This way it can be replicated and students of architecture and planning be made aware especially as the world had a recent memory of the COVID-19 pandemic, when public health became all the more important. They were taught the role of building laws which building practitioners can utilise in preventing disease causing conditions that may occur through the built environment. The basis of instruction was evidence derived from peer-reviewed scientific literature. Various class exercises were performed in order to train the students to get a sensitivity towards the health of inhabitants while designing the built environment. The course was structured into six exercises which were taught over a semester. This was also followed by small scale research projects that students designed and undertook independently. This short communication is a description of the same and warrants further work to replicate and test the effectiveness of the same.
Evolución Reciente del Endeudamiento Externo de los Bancos Colombianos - Diciembre de 2022
Authors:   Departamento de Estabilidad Financiera
Published: January 2023

En este informe se describe la evolución reciente de las líneas de crédito en moneda extranjera (M/E) del sistema bancario colombiano con información a diciembre de 2022 y se presentan los principales resultados de la Encuesta de endeudamiento externo y cupos aplicada por el Banco de la República.
Reporte de Mercados Financieros - cuarto trimestre de 2022
Authors: Vargas Hernando , Murcia Andrés , Rojas Juan Sebastián , Symington-Alzate Philip Rory , Ariza Sara , Barreto Ittza Alejandra , Botero-Ramírez Oscar David , León_Díaz Laura Viviana , Mateus Julián Camilo , Orozco Camilo Andrés , Ruiz-Cardozo Cristhian Hernando , Torres Nicolás Fernando , Saavedra-Cartagena Ana María
Published: January 2023

El Banco de la República genera información para la toma de decisiones, la rendición de cuentas y la difusión al público. En particular, el Reporte de Mercados Financieros está enmarcado dentro del principio de difusión al público y contribuye a cumplir con el servicio que presta el Banco de ofrecer información e investigación económica de calidad. En línea con lo anterior, este reporte busca proveer al público un análisis general del comportamiento y las tendencias de los mercados financieros nacionales e internacionales. Adicionalmente, el reporte señala los principales factores que permiten explicar el comportamiento de dichos mercados, así como sus interacciones. El reporte también presenta una descripción de los principales cambios en política monetaria y decisiones de los bancos centrales a nivel mundial. El año 2022 se caracterizó por la desaceleración económica frente al alto crecimiento observado en el año anterior, luego de la recuperación de la crisis del COVID-19. Por otro lado, se aceleró el aumento de la inflación en la mayoría de los países, que provenía desde finales del año 2021 y alcanzó niveles que no se observaban en las últimas dos décadas. Esto se les atribuye principalmente a las disrupciones de las cadenas de suministro, la rápida recuperación de la demanda interna, producto de los importantes estímulos monetarios y fiscales implementados durante la pandemia, y los mayores precios de los commodities, los cuales se acentuaron por el conflicto entre Rusia y Ucrania. En respuesta, la mayoría de los bancos centrales adoptaron políticas monetarias más contractivas: la Reserva Federal de EE.UU. aumentó su tasa al rango de 4% a 4,25% (el nivel más alto desde el año 2007) y el Banco Central Europeo aumentó su tasa a 2% (el nivel más alto desde el año 2009). Lo anterior llevó a una fuerte desvalorización de los títulos de deuda a nivel global, y en mayor medida, en economías emergentes.
PENGARUH PUPUK ORGANIK CAIR BUAH TERHADAP PERTUMBUHAN BIBIT TANAMAN PEPAYA (Carica papaya L.)
Authors: Frederikus Umbu Luki  , Yonce Melyanus Killa  , Lusia Danga Lewu
Published: January 2023

Tanaman pepaya termasuk tanaman tahunan yang dapat tumbuh mencapai ketinggian 8 m dengan batang tidak berkayu, bulat, berongga, bergetah, dan memiliki sisa-sisa tangkai daun dan dapat tumbuh subur di daerah yang memiliki curah hujan 1000-2000 mm/tahun. Tujuan dari penelitian adalah untuk mengetahui pengaruh pupuk organik cair buah terhadap bibit tanaman pepaya. (C. papaya L.) pada dosis yang berbeda. Penelitian dilakukan di Laboratorium Kebun Universitas Kristen Wira Wacana Sumba, Desa Kuta, Kecamatan Kanatang, Kabupaten Sumba Timur pada bulan Mei-Juli 2022. Penelitian ini dilakukan di lapangan dengan menggunakan Rancangan Acak Lengkap (RAL) dengan 5 perlakuan dan 4 ulangan sehingga diperoleh 20 satuan percobaan yaitu P0 sebagai kontrol, P1 pemberian dosis POC 100 ml/liter air, P2 pemberian dosis POC 200 ml/liter air, P3 pemberian dosis POC 300 ml/liter air, dan P4 pemberian dosis POC 400 ml/liter air. Hasil penelitian menunjukkan pemberian POC atau pupuk organik cair buah (pisang, pepaya, tomat, dan nanas) pada berbagai dosis yang diteliti tidak memberikan pengaruh nyata (tidak signifikan) terhadap pertumbuhan bibit pepaya. Tetapi dari hasil percobaan yang telah dilaksanakan, pemberian dosis POC 400 ml/liter air mendapatkan nilai rataan tertinggi pada pengamatan tinggi tanaman, jumlah daun, lebar daun, dan diameter batang pertumbuhan bibit pepaya (C. papaya L.).
Comparative Study of QoS on Video Meeting Tool Application in 4G LTE Network using Wireshark
Authors: Sirmayanti Sirmayanti , Tain Asriani , Hamzidah Nurul Khaerani
Published: January 2023

Video meeting is a broadband internet-based service for long-distance communication, both visual and audio, in one room or in different rooms at the same time. Network testing using wireshark software connects to the Telkomsel operator's 4G LTE network. QoS parameters can display network quality such as throughput, packet loss, delay and jitter. The research experiment test used two conditions with different variables in the five types of video meeting tools being compared; zoho meeting, cisco webex meeting, google meet, zoom meeting and microsoft teams. First-condition uses random variables that do not consider the value of the number of participants and camera & microphone conditions to each client. Second-condition uses a fixed variable that the number of each client is 5 participants for each application (camera & microphone is on). The first-condition results showed that only Zoom Meeting which had a QoS value classified as Poor (index 1), especially the jitter value, compared to other applications. This application has an average jitter of 151,871 ms, that compared to TIPHON standard of 125 ms to 255 ms. The second-condition obtained Very Good QoS on throughput, packet loss and delay variables in all applications. Their variable jitter in each application is Zoho Meeting (0.101 ms), Cisco Webex meeting (0.074 ms), Google Meet (0.179 ms), Zoom meeting (0.021 ms), and Microsoft Teams (0.015 ms) which only in the standard 0 ms to/ d 75 ms. However, all applications according to the TIPHON standards are still in the Good category (index 3). The overall index average of all applications shows Good QoS.Keywords: video meeting,  wireshark, quality of service, 4G LTE.
Inisiasi menyusu dini (IMD) sebagai upaya awal pemberian ASI eksklusif: scoping review
Authors: Nidaa Izzatun , Hadi Ella Nurlaela
Published: January 2023

Latar belakang: ASI merupakan makanan terbaik bagi bayi yang dapat mendukung tumbuh kembang dan kesehatan bayi. Terdapat berbagai manfaat dari ASI dan ASI eksklusif bagi bayi dan masa depannya. Salah satu faktor yang mempengaruhi keberhasilan ASI eksklusif adalah inisiasi menyusu dini (IMD).  Tujuan penelitian: Tujuan dari tinjauan literatur ini adalah untuk mengidentifikasi bukti-bukti yang tersedia dari literatur terkini terkait hubungan IMD dan ASI eksklusif. Metode: Tinjauan literatur ini menggunakan metode scoping review, dengan tahapan mengidentifikasi pertanyaan penelitian, mengidentifikasi artikel yang relevan, menyeleksi artikel, memetakan data serta menyusun, meringkas, dan melaporkan hasil. Hasil: Dari hasil seleksi akhir, didapatkan 18 artikel yang sesuai. Sebanyak 17 artikel menggunakan desain penelitian kuantitatif dan 1 artikel menggunakan mix method. Lokasi penelitian termasuk beberapa negara yaitu China, Jepang, Indonesia, India, Sri Lanka, Arab Saudi, Ethiopia, Nigeria, dan beberapa negara di Afrika lainnya. Sebagian besar artikel menunjukkan adanya hubungan antara IMD dan ASI eksklusif. Simpulan: IMD merupakan faktor yang mempengaruhi ASI eksklusif. IMD setelah persalinan diperlukan sebagai upaya untuk melanjutkan keberlangsungan pemberian ASI ekslusif hingga enam bulan.