bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of age invariant face recognition using quadratic support vector machine-principal component analysis
Authors: Dhamija Ashutosh , Dubey R. B.
Published: July 2021

Face recognition is one of the most challenging and demanding field, since aging affects the shape and structure of the face. Age invariant face recognition is a relatively new area in face recognition studies, which in real-world implementations recently gained considerable interest due to its huge potential and relevance. The Age invariant face recognition, however, is still evolving and evolving, providing substantial potential for further study and progress in accuracy. Major issues with the age invariant face recognition involve major variations in appearance, texture, and facial features and discrepancies in position and illumination. These problems restrict the age invariant face recognition systems developed and intensify identity recognition tasks. To address this problem, a new technique Quadratic Support Vector Machine- Principal Component Analysis (QSVM-PCA) is introduced. Experimental results suggest that our QSVM-PCA achieved better results especially when the age range is larger than other existing techniques of face-aging dataset of FGNET. The maximum accuracy achieved by demonstrated methodology is 98.87%.
A novel spam detection technique for detecting and classifying malicious profiles in online social networks
Authors: Priyadharshini V.M. , Valarmathi A.
Published: July 2021

Online social networks (OSNs) are utilized by millions of people from the entire world to communicate with others through Facebook and Twitter. The removal of fake accounts will increase the efficiency of the protection in OSNs. The construction of the OSN model has the nodes and the links to identify the fake profiles on Twitter. This paper proposes a novel technique to detect spam profiles and the proposed classifier is to classify the profile images from the dataset. The malicious profile detection technique is used to identify the fake profiles with the concept of a Twitter crawler that implements the extraction of data from the profile. The feature set analysis has been implemented with the feature related analysis. The user behavior detection utilizes the adjacent matrix to measure the similarity values within the friend’s profiles. The multi-variant Support Vector Machine classifier is developed for efficient classification with the kernel function. The proposed technique is compared with the well-known techniques of ECRModel, ISMA and DeepLink that the detection rate is 2.5% higher than the related techniques, the computation time is 220 s lesser than the related techniques and the proposed technique has 3.1% higher accuracy.
Fuzzy TOPSIS based selection index in the planning of emergency service facilities locations and goods transportation
Authors: Sirbiladze Gia , Matsaberidze Bidzina , Ghvaberidze Bezhan , Midodashvili Bidzina , Mikadze David
Published: July 2021

The attributes influencing the decision-making process in planning transportation of goods from selected facilities locations in disaster zones are considered. Experts evaluate each candidate for humanitarian aid distribution centers (HADCs) (service centers) against each uncertainty factor in q-rung orthopair fuzzy sets (q-ROFS). For representation of experts’ knowledge in the input data for planning emergency service facilities locations a q-rung orthopair fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) approach is developed. Based on the offered fuzzy TOPSIS aggregation a new innovative objective function is introduced which maximizes a candidate HADC’s selection index and reduces HADCs opening risks in disaster zones. The HADCs location and goods transportation problem is reduced to the bi-criteria problem of partitioning the set of customers by the set of service centers: 1) Minimization of opened HADCs and goods transportation total costs; 2) Maximization of HADCs selection index. Partitioning type transportation constraints are also constructed. Our approach for solving the constructed bi-criteria partitioning problem consists of two phases. In the first phase, based on the covering’s matrix, we generate a new matrix with columns allowing to find all possible partitioning of the demand points with the opened HADCs. In the second phase, using the generated matrix and our exact algorithm we find the partitioning –allocations of the HADCs to the centers corresponded to the Pareto-optimal solutions. The constructed model is illustrated with a numerical example.
The dilated dense U-net for spinal fracture lesions segmentation
Authors: Sha Gang , Wu Junsheng , Yu Bin
Published: July 2021

With the development of computer technology, more and more deep learning algorithms are widely used in medical image processing. Viewing CT images is a very usual and important way in diagnosing spinal fracture diseases, but correctly reading CT images and effectively segmenting spinal lesions or not is deeply depended on doctors’ clinical experiences. In this paper, we present a method of combining U-net, dense blocks and dilated convolution to segment lesions objectively, so as to give a help in diagnosing spinal diseases and provide a reference clinically. First, we preprocess and augment CT images of spinal lesions. Second, we present the DenseU-net network model consists of dense blocks and U-net to raise the depth of training network. Third, we introduce dilated convolution into DenseU-net to construct proposed DDU-net(Dilated Dense U-net), in order to raise receptive field of CT images for getting more lesions information. The experiments show that DDU-net has a good segmentation performance of spinal lesions, which can build a solid foundation for both doctors and patients.
A Novel spherical fuzzy CRITIC method and its application to prioritization of supplier selection criteria
Authors: Kahraman Cengiz , Onar Sezi Cevik , Öztayşi Başar
Published: July 2021

Linguistic terms are quite suitable to make evaluations in multiple criteria decision making problems since humans prefer them rather than sharp evaluations. When linguistic evaluations are used in the decision matrix instead of exact numerical values, fuzzy set theory can capture the vagueness in the linguistic evaluations. Ordinary fuzzy sets have been extended to many new types of fuzzy sets such as intuitionistic fuzzy sets, neutrosophic sets, spherical fuzzy sets and picture fuzzy sets. Spherical fuzzy sets are an extension of picture fuzzy sets whose squared sum of their parameters is at most equal to one. This paper develops a novel spherical fuzzy CRiteria Importance Through Intercriteria Correlation (CRITIC) method and applies it for prioritizing supplier selection criteria. Supplier selection is one of the most critical aspects of any organization since any mistake in this process may cause poor supplier performance and inefficiencies in the business processes. Supplier selection is a multi-criteria decision making problem involving several conflicting criteria and alternatives. A numerical illustration of the proposed method is also given for this problem.
Intuitionistic fuzzy multi-objective milk-run modelling under time window constraints
Authors: Çakır Esra , Ulukan Ziya , Kahraman Cengiz , Sağlam Canan Ölçer , Kuleli Pak Burcu , Pekcan Bahadır
Published: July 2021

Milk-run is a delivery method allowing to move small quantities of a large number of different items with predictable lead times from various suppliers to a customer. The main goal is to minimize the transportation cost by minimizing the travel distance and by maximizing vehicle capacities. The effects of uncertainties in arrival times of vehicles and loading times of shipments should also be considered in modeling the milk-run problems. In this paper, a multi-objective linear programming model, an ordinary fuzzy multi-objective linear programming model and an intuitionistic fuzzy multi-objective linear programming model are proposed for the milk-run modeling under time window constraints. The proposed approaches are applied on the real-life data of Borusan Logistics which is one of the largest logistics firms in Turkey and the results are presented.
Data mining model for predicting the quality level and classification of construction projects
Authors: Fan Ching-Lung
Published: July 2021

Project managers supervise projects to ensure their smooth completion within a stipulated time frame and budget while guaranteeing construction quality. The relationships of various attributes with quality can be quantified and classified to facilitate such supervision. Therefore, this study used a data mining algorithm to analyze the relationships between defects, quality levels, contract sums, project categories, and progress in 1,015 inspection projects. In the first part, association rule mining (ARM), an unsupervised data mining approach, was used to obtain 11 rules relating two defect types (i.e., quality management system and construction quality) and determine the relationships between the four attributes (i.e., quality level, contract sum, project category, and progress). The resulting association rule may be beneficial for construction management because project managers can use it to determine the correlations between defects and attributes. In the second part, supervised data mining techniques, namely neural network (NN), support vector machine (SVM), and decision tree (C5.0 and QUEST) algorithms, were applied to develop a classification model for quality prediction. The target variable was quality, which was divided into four levels, and the decision variables comprised 499 defects, 3 contract sums, 7 project categories, and 2 progress variables. The results indicated that five defects were important. Finally, the four indicators of gain chart, break-even point (BEP), accuracy, and area under the curve (AUC) were calculated to evaluate the model. For the SVM model, the actual value predicted by the gain chart was 96.04%, the BEP was 0.95, and the AUC was 0.935. The SVM yielded optimal classification efficiency and effectively predicted the quality level. The data mining model developed in this study can serve as a reference for effective construction management.
Spherical bipolar fuzzy weighted multi-facility location modeling for mobile COVID-19 vaccination clinics
Authors: Çakır Esra , Taş Mehmet Ali , Ulukan Ziya
Published: July 2021

A pandemic was declared in 2020 due to COVID-19. The most important way to deal with the virus is mass vaccination which is a complex task in terms of fast transportation and process management. Hospitals and other health centers are appropriate for vaccination process. In addition, in order to protect other patients from COVID-19 and provide rapid access to vaccines, mobile vaccination clinics can also be considered. In this study, the location assignments of mobile vaccination clinics that can serve some regions of three cities in Turkey are examined. The linear formulation of the problem is given, and the multi-facility location problem for COVID-19 vaccination is investigated with Lagrange relaxation and modified saving heuristic algorithm. For the proposed fuzzy MCDM integrated saving heuristic, the importance of candidate locations is calculated with the aid of decision makers who give their views in spherical bipolar fuzzy information. The results of different approaches are compared, and it is intended to guide future studies.
The Rare Knowledge Mining Methodological Framework for the Development of Practice Guidelines and Knowledge Translation Tools for Rare Diseases
Authors: Gagnon C. , Fortin J. , Lamontagne M.E. , Plourde A.
Published: July 2021

Rare diseases bring on a heavy health, social and economic burden that impacts patients’ lives and puts pressure on the healthcare system. Furthermore, they are often associated with limited published studies to inform multidisciplinary clinical practice thus limiting evidence-based practice. Moreover, the development of knowledge translation products including clinical care guidelines are often very challenging based on the current available methodological frameworks relying mostly on critical appraisal of the published research evidence where randomized clinical trial design is considered as the gold standard. To overcome this barrier, we proposed the Rare Knowledge Mining Methodological Framework (RKMMF). The RKMMF is one possible answer to improve the development of knowledge translation products for rare diseases. This framework includes other sources of evidence including registry information and qualitative studies and the involvement of expert patients. This article documents the RKMMF structure and its application is exemplified through knowledge translation products developed for a neuromuscular population.
Clinical Outcome Evaluations and CBT Response Prediction in Myotonic Dystrophy
Authors: van As Daniël ,   on behalf of the OPTIMISTIC consortium, Okkersen Kees , Bassez Guillaume , Schoser Benedikt , Lochmüller Hanns , Glennon Jeffrey C. , Knoop Hans , van Engelen Baziel G.M. , ’t Hoen Peter A.C.
Published: July 2021

Background: The European OPTIMISTIC clinical trial has demonstrated a significant, yet heterogenous effect of Cognitive Behavioural Therapy (CBT) for Myotonic Dystrophy type 1 (DM1) patients. One of its remaining aims was the assessment of efficacy and adequacy of clinical outcome measures, including the relatively novel primary trial outcome, the DM1-Activ-c questionnaire. Objectives: Assessment of the relationship between the Rasch-built DM1-Activ-c questionnaire and 26 commonly used clinical outcome measurements. Identification of variables associated with CBT response in DM1 patients. Methods: Retrospective analysis of the to date largest clinical trial in DM1 (OPTIMISTIC), comprising of 255 genetically confirmed DM1 patients randomized to either standard care or CBT with optionally graded exercise therapy. Correlations of 27 different outcome measures were calculated at baseline (cross-sectional) and of their respective intervention induced changes (longitudinal). Bootstrap enhanced Elastic-Net (BeEN) regression was validated and implemented to select variables associated with CBT response. Results: In cross-sectional data, DM1-Activ-c correlated significantly with the majority of other outcome measures, including Six Minute Walk Test and Myotonic Dystrophy Health Index. Fewer and weaker significant longitudinal correlations were observed. Nine variables potentially associated with CBT response were identified, including measures of disease severity, executive cognitive functioning and perceived social support. Conclusions: The DM1-Activ-c questionnaire appears to be a well suited cross-sectional instrument to assess a variety of clinically relevant dimensions in DM1. Yet, apathy and experienced social support measures were less well captured. CBT response was heterogenous, requiring careful selection of outcome measures for different disease aspects.
Game theory in regression modeling: A brief review on Shapley Value regression
Authors: Lipovetsky Stan
Published: July 2021

The work describes developments in the multiple regression performed for building models resistant to multicollinearity, having meaningful robust solution for individual parameters, convenient for interpretation of the results, and good for prediction. A tool from the cooperative game theory, the Shapley Value analysis, have been tried for estimation of regression coefficients and relative usefulness of the predictors in a model. This approach has been checked and successfully applied in various real-life projects in data analysts for commercial companies. It is useful for decision makers in economics, management, marketing research, and any other practical fields.
Comparison between effectiveness of dentine desensitizer and one bottle self-etch adhesive on dentine hypersensitivity
Authors: Younus Muhammad Zohaib , Ahmed Muhammad Adeel , Syed Azeem Ul Yaqin , Baloch Jiand Malik , Ali Muhammad , Sheikh Abubakar
Published: July 2021

BACKGROUND: Dentine hypersensitivity is one of the most common chief complaints of patients observed by dentists in their practice. However, there is a lack of universal consensus over the selection of reliable treatment modality. OBJECTIVES: To compare the effectiveness between dentine desensitizer and self-etch adhesive in patients complaining of moderate to severe dentine hypersensitivity pain. METHODS: A total of 254 patients with moderate to severe dentine hypersensitivity were randomly divided into Group A (Single Bond Universal Agent) and Group B (Seal & Protect Agent) according to the treatment provided. Sensitivity was assessed by means of mechanical (probing) and evaporative (air blast) stimuli. Discomfort Internal Scale (DIS) was explained to patients. DIS scores were recorded after one minute and one month following the application of both agents. Descriptive statistics were calculated. Stratification was done to control confounder and post stratification chi-square test was also applied. RESULT: The statistically significant difference (p= 0.000) in effectiveness between the two groups was observed. The mean discomfort internal scale score at baseline, after 1 minute and after 1 month in Group A was 3.65 ± 0.60, 2.33 ± 0.64 and 0.41 ± 0.71 respectively, while in Group B, it was 3.55 ± 0.58, 2.40 ± 0.62 and 0.72 ± 0.92 respectively. Overall, 86.6% patients observed improvement in dentinal sensitivity in Group A while in Group B only 67.7% patients reported reduction in sensitivity. CONCLUSION: Self-etch adhesive significantly reduces dentin hypersensitivity, immediately after one minute of its application and is effective for a period of one month compared to desensitizing agent.
Residential elbow joint rehabilitation system by smart phone with cloud database
Authors: Wu Yi-Chao , Liu Chao-Hsum , Ye Je-Chiuan
Published: July 2021

BACKGROUND: Physical therapy treatment has gradually become important in hospitals. This paper focused on elbow joint rehabilitation, as this form of rehabilitation is used most often. Moreover, most elbow joint rehabilitation programs could be conducted at home without going to a medical institution, which will economize medical manpower. OBJECTIVE: How to judge the correct rehabilitation motion becomes an issue for elbow joint rehabilitation at home. Therefore, this study proposed a residential elbow joint rehabilitation system (REJRS) by smartphone with a cloud database to address these issues. METHODS: REJRS has the ability to judge the correct motions and times of rehabilitation in real time. When the rehabilitation motions are incorrect, the number of rehabilitation repetitions is insufficient, or a timed rehabilitation session is insufficient, the patient will receive a warning text and light alert by REJRS. Then, the data of rehabilitation sessions are uploaded to the cloud database immediately. RESULTS: Patients can query their rehabilitation data at all times. Moreover, medical staff can track the status of each patient’s rehabilitation at any time and any place by downloading the data from the cloud database via the Internet. In our experimental results, the rate for detecting the correct elbow joint rehabilitation motion was up to 90%. CONCLUSIONS: The results show that REJRS could be applied for residential elbow joint rehabilitation. In the future, REJRS will be verified by the Institutional Review Board (IRB) for application to clinical treatment.
Clinical characteristics and outcomes of COVID-19 long-term nucleic acid positive patients
Authors: Zhu Xuan , Zhu Xinxin , Wang Min , Yang Fang , Sun Zhibing , Yang Xiaohong , Yan Yimin
Published: July 2021

OBJECTIVE: This study aimed to investigate the clinical characteristics and outcomes of coronavirus disease-19 (COVID-19) long-term nucleic acid positive patients (hereinafter referred to as CLTAPs). METHODS: Patients were recruited from the Xiaogan Central Hospital between 16 January 2020 and 28 March 2020. Among the 562 cases of patients with laboratory-identified COVID-19 infection by real-time polymerase chain reaction (qtPCR), 19 cases of COVID-19 patients with more than 41 days from the first to the last time of nucleic acid test were selected as the study group, and 76 cases of age- and gender-matched COVID-19 patients were selected as the control group (hereinafter referred to as C-CLTAPs). Demographic characteristics, clinical symptoms, laboratory examination and computed tomography (CT) imaging characteristics were retrospectively analyzed. RESULTS: On admission, among the 562 cases of patients with COVID-19, there were 398 cases of ordinary COVID-19 patients, 99 cases of severe COVID-19 patients and 99 cases of critical COVID-19 patients. CLTAPs had milder clinical symptoms and longer viral shedding time in comparison to C-CLTAPs. Compared to C-CLTAPs, CLTAPs had a lower infection index at admission. CLTAPs used less oxygen therapy and a higher proportion of hydroxychloroquine treatment in comparison to C-CLTAPs. In comparison to C-CLTAPs, CLTAPs showed slower pulmonary CT progression and faster pulmonary CT absorption. CONCLUSION: In this study, out of the 562 cases, we found 19 CLTAPs. The clinical differences between CLTAPs and C-CLTAPs were compared and analyzed. We hope that these finding can provide a theoretical basis for the treatment of CLTAPs.
Heart Rate Variability measured during rest and after orthostatic challenge to detect autonomic dysfunction in Type 2 Diabetes Mellitus using the Classification and Regression Tree model
Authors: Rathod Shashikant , Phadke Leena , Chaskar Uttam , Patil Chetankumar
Published: July 2021

BACKGROUND: According to the World Health Organization, one in ten adults will have Type 2 Diabetes Mellitus (T2DM) in the next few years. Autonomic dysfunction is one of the significant complications of T2DM. Autonomic dysfunction is usually assessed by standard Ewing’s test and resting Heart Rate Variability (HRV) indices. OBJECTIVE: Resting HRV has limited use in screening due to its large intra and inter-individual variations. Therefore, a combined approach of resting and orthostatic challenge HRV measurement with a machine learning technique was used in the present study. METHODS: A total of 213 subjects of both genders between 20 to 70 years of age participated in this study from March 2018 to December 2019 at Smt. Kashibai Navale Medical College and General Hospital (SKNMCGH) in Pune, India. The volunteers were categorized according to their glycemic status as control (n= 51 Euglycemic) and T2DM (n= 162). The short-term ECG signal in the resting and after an orthostatic challenge was recorded. The HRV indices were extracted from the ECG signal as per HRV-Taskforce guidelines. RESULTS: We observed a significant difference in time, frequency, and non-linear resting HRV indices between the control and T2DM groups. A blunted autonomic response to an orthostatic challenge quantified by percentage difference was observed in T2DM compared to the control group. HRV patterns during rest and the orthostatic challenge were extracted by various machine learning algorithms. The Classification and Regression Tree (CART) model has shown better performance among all the machine learning algorithms. It has shown an accuracy of 84.04%, the sensitivity of 89.51%, a specificity of 66.67%, with an Area Under Receiver Operating Characteristic Curve (AUC) of 0.78 compared to resting HRV alone with 75.12% accuracy, 86.42% sensitivity, 39.22% specificity, with an AUC of 0.63 for differentiating autonomic dysfunction in non-diabetic control and T2DM. CONCLUSION: It was possible to develop a Classification and Regression Tree (CART) model to detect autonomic dysfunction. The technique of percentage difference between resting and orthostatic challenge HRV indicates the blunted autonomic response. The developed CART model can differentiate the autonomic dysfunction using both resting and orthostatic challenge HRV data compared to only resting HRV data in T2DM. Thus, monitoring HRV parameters using the CART model during rest and after orthostatic challenge may be a better alternative to detect autonomic dysfunction in T2DM as against only resting HRV.
Growth dan Media Exposure terhadap Pengungkapan Islamic Social Reporting
Authors: Ningsih Nur Wahyu , Ghofur Ruslan Abdul , Pratiwi Ranny Aprilia
Published: July 2021

This study is aims to examine the impact of growth and media exposure on Islamic Social Reporting disclosure. To measure the extent of Islamic social reporting, used a checklist that has been developed based on related rules and previous research. The research method used is this research is quantitative research methods, this method is called quantitative method because the research data in the form of numbers and analysis employed statistics. While for the type of data used in this study is secondary data, secondary data in this study in the form of annual report, sustainability report and financial statement companies listed on the Indonesian sharia stock index in 2016-2018. The method used in this research is quota sampling, There were 13 companies which fulfilled criterion as the research samples. The data collection method in this study is the documentation method, is collecting data from ISSI official website based on criteria and collecting data from the company’s official website. The results of this study showed that growth and media exposure no significant impact on Islamic Social Reporting.
Gendered Visibility on Social Media: Navigating Instagram’s Authenticity Bind
Authors: Duffy Brooke Erin , Hund Emily
Published: July 2021

Although the digital economy’s guiding logics of attention and visibility rouse social media users to put themselves out there, individuals experience digital visibility in profoundly uneven ways. For women, in particular, the public nature of online communication is fraught with risk, opening the potential for ridicule, hate, and harassment. This research explores the vexed nature of visibility among Instagram content creators, a community that is especially beholden to this so-called “visibility mandate.” Drawing on in-depth interviews with 25 aspiring and professional Instagrammers, we show how they attempt to stave off potential critique in patterned ways. In their efforts to project themselves as authentic, many sought to deflect accusations of being too real, and, alternatively, as being not real enough. We argue that this uniquely gendered form of a socially mediated “authenticity bind” indexes the wider policing of women and other marginalized communities in digitally networked spaces, wherein they must carefully toe the line between visibility and vulnerability.
TikTok Face
Authors: Zhang Cat
Published: July 2021

THE MOST “LIKED” TikTok in 2020 was not some astonishing clip of a goose twerking, girl Renegading, or group of strangers harmonizing the shit out of a sea shanty. It was a deceptively simple recording of a young woman bobbing her head, bouncing between animated expressions as if trying to hypnotize a baby. “It’s M to the B, it’s M to the B,” she lip-syncs, mouthing the words to a 2016 British diss track. Her cutesy gestures are amplified by TikTok’s “Face Zoom” lens, which keeps the camera locked tightly on her expression at all times. At one moment, she smirks peacefully, her eyes relaxed; a few seconds later, she looks moony and cross-eyed, her smile skewed quirkily to the side. In the eyes of her many critics, she is doing nothing—and yet, the “M to the B” TikTok has over 45 million likes, a number greater than the entire population of California.

The young woman is 23-year-old Filipina influencer Bella Poarch, a former U.S. Navy veteran whose emphatically “adorable” facial choreography has made her TikTok’s fourth most-followed personality. Her videos’ chief draw is that they’re “oddly satisfying”—an epithet commonly reserved for ASMR soap-cutting videos, or images of perfectly smooth scoops of peanut butter. These are seemingly ordinary things that nonetheless generate intense visual pleasure; they gratify basic desires for symmetry, repetition and flow. Like ASMR content, Poarch’s smooth head-bobbing and elastic gestures lull you into a state of calm. Nothing distracts you from her expressions: Her skin is spotless, her make-up neutral, her background wholly nondescript. Her TikToks are almost too seamless; strangers marvel that she looks “like a Pixar character” in the comments.
The Promise—and Risk—of a Career in TikTok
Authors: Gurley Lauren Kaori
Published: July 2021

KEONDRA IS 20 years old, lives in St. Paul, Minnesota, and until the coronavirus pandemic hit, worked as a cashier at the Midwestern hardware chain Menards. She also has more than 770,000 followers on TikTok as @Keondra.K.

In the fall of 2018, after graduating from high school, Keondra downloaded TikTok on her iPhone and started filming short videos of herself dancing, lip-syncing, and cosplaying alone in her bedroom, which is covered in posters, one of the Japanese woodblock print The Wave and others of the K-pop band BTS.
The through transmission impact method for measuring the sound velocity in the compact concrete cubic samples
Authors: Kachanov V. K. , Sokolov I. V. , Samokrutov A. A. , Shevaldykin V. G. , Fedorenko S. A. , Alekhin S. G. , Kozlov A. V. , Pichugin N. K.
Published: July 2021

A through transmission impact method for measuring the sound velocity in the concrete cubic samples, which are used for determination of the concrete durability, is proposed. It is shown that for elimination of the surface wave influence on the measurement accuracy of the compact cubic sample resonant frequency the impactor and the receiving transducer should be placed on the opposite sides of the cube. Besides in some cases must be used multichannel through transmission impact method.
Chronic effects of domestic and single used plastic leachates on the microcrustacea Daphnia magna
Authors: Nguyen Van-Tai , Le Thi-Phuong-Dung , Dao Thanh-Son
Published: July 2021

Plastic pollution has become one of the most serious environmental issues worldwide. Plastics can contain high amount of additives (e.g., phthalate, bisphenol A, trace metals), and they could be leached out of plastics, enter the aquatic environment and cause toxic effects to aquatic organisms (including microcrustacean). In this study, we investigated chronic effects of plastic leachates from two popular plastic materials (garbage bag and disposable raincoat) on the survival, maturation and reproduction of the microcrustcean Daphnia magna. The results showed that, the plastic leachates from the two materials at the concentration up to 1000 mg/l did not cause negative effect on survival of D. magna. However, exposed to the leachates from the garbage bag (at the concentrations of 10, 100 and 1000 mg/l) and from the disposable raincoat (at the concentration of 10 mg/l), the animals delayed their maturity ages compared to the control. Besides, the two kinds of leachates at the concentration of 1000 mg/l stimulated the reproduction of D. magna, resulting the increase of 17 – 37% of total offspring compared to the control, during 21 days of experiment. The results of this study contribute to the understanding on the toxicity of popular plastic materials to the microcrustacean, D. magna. Additionally, the plastic usage and emission into the environment should be paid more attention to protect the aquatic ecosystems and human health.
Meaning Realized on Online News About ‘France Under Attack’
Authors: Setiawan Anjar , Mulyadi Dodi
Published: July 2021

This research analyses the meaning realized on online news texts about ‘France under attack’ taken from The Jakarta Post, The Spectator, and Najam TV National. This is a descriptive qualitative research. The data were taken from the three news texts by classifying the clauses that related to the appraisal and then analyzing based on the subsystems of appraisal. The results showed that the news authors used three subsystems of appraisal included attitude, engagement, and graduation. In attitude, there were found the use of affect, judgement, and appreciation. There were also found of engagement consisted of monogloss and hetergloss. Further, the news items authors also applied graduation to make news more seems accurate.
PENGEMBANGAN MODEL PISA BERBASIS BUDAYA MASYARAKAT PADANG BOLAK BERDASARKAN KEMAMPUAN LITERASI MATEMATIS SISWA
Authors: Madyunus Salayan Nursahadah, Hasratuddin,
Published: July 2021

Penelitian ini bertujuan untuk: (1) Mendeskripsikan pengembangan model PISA berbasis budaya masyarakat Padang Bolak  dalam meningkatkan kemampuan literasi matematis siswa (2) Menganalisis peningkatan literasi matematis siswa melalui model pisa berbasis budaya masyarakat Padang  Bolak (3) Menemukan model PISA berbasis budaya masyarakat Padang Bolak yang efektif  untuk meningkatkan kemampuan literasi matematis siswa. Produk yang dihasilkan dalam penelitian adalah instrumen model PISA berbasis budaya masyarakat Padang Bolak. Penelitian ini di lakukan dengan penelitian pengembangan model 4-D. Dengan jenis penelitian pengembangan (Research and Development). Subjek dalam penelitian ini adalah seluruh siswa SMP Manunggal Bagan Batu Rohil Tahun Pelajaran 2018/2019, kelas yang digunakan yaitu VIII sebanyak 30 peserta didik dan 2  guru matematika. objek penelitian adalah pengembangan model PISA berbasis budaya masyarakat Padang Bolak yang berupa buku guru dan siswa pada materi barisan bilangan. Dari hasil penelitian diperoleh instrumen model PISA yang dikembangkan memenuhi kriteria efektif dilihat dari ketuntasan hasil belajar secara klasikal 87,5%, ketuntasan tujuan pembelajaran 76,8%, respon siswa terhadap instrumen model PISA dalam kategori baik dan positif sebesar 18,75% dari uji coba I  ke uji coba II.Kata Kunci: Pengembangan Instrumen, PISA, Literasi, Budaya Padang Bolak.
MODEL REGRESI LINIER SEDERHANA PENGARUH RASIO KEUANGAN TERHADAP PENDAPATAN PER PERIODE PT. TEMPO SCAN PASIFIC TBK.
Authors: Hairul Saleh Rukmono Budi Utomo,
Published: July 2021

Paper ini merupakan hasil penelitian yang membahas tentang hubungan dari pengaruh rasio keuangan terhadap pendapatan per periode pada PT Tempo Scan Pasific Tbk. Metodologi dalam penelitian ini menggunakan metode kajian pustaka, yakni dengan mempelajari laporan keuangan dari PT Tempo Scan Pasific, Tbk bagian rasio keuangan dan pendapatan per periode. Lebih lanjut, Peneliti mencoba mengolah data-data tersebut menggunakan SPSS untuk mencari model regresi linearnya. Dengan menggunakan metode Stepwise diperoleh bahwa Current Ratio merupakan Rasio keuangan yang berpengaruh pada pendapatan per periode PT Tempo Scan Pasific, Tbk dibandingkan jenis –jenis rasio keuangan lainnya seperti ROA, ROE, GPM, OPM dan NPM. Model Regresi yang terbentuk dapat dituliskan sebagai Profit = 2368.632 - 5.635CR.Kata kunci: Model Regresi; Rasio Keuangan; Pendapatan Per Periode; PT Tempo Scan Pasific, Tbk.
Pola Kepekaan Bakteri terhadap Antibiotik di Ruang Rawat Intensif RSPI Prof. Dr. Sulianti Saroso Jakarta
Authors: Indah Lestari Putriana , Susanti Ika , Rahmawati Huda
Published: July 2021

Abstrak : Penyakit infeksi merupakan salah satu masalah kesehatan yang penting. Penggunaan antibiotik yang tidak rasional dan tepat guna pada pasien penyakit infeksi beresiko menyebabkan terjadinya resistensi. Tujuan dari penelitian ini yaitu untuk mengetahui pola kepekaan bakteri terhadap antibiotik pada pasien Ruang Rawat Intensif (ICU) RSPI Prof. Dr. Sulianti Saroso (RSPI-SS) Jakarta. Penelitian dilakukan deskriptif dan retrospektif terhadap data sekunder hasil uji kepekaan antibiotik dan jenis bakteri dari 107 pasien dalam kurun waktu 2011. Hasil menunjukkan 68 (65,4%) pasien mendapatkan hasil kultur positif dan uji kepekaan bakteri terhadap antibiotik. Jenis bakteri patogen yang dominan yaitu Acinetobacter baumannii (29,4%), disusul oleh Pseudomonas aeruginosa (27,9%), Klebsiella pneumoniae (13,2%) dan Escherichia coli (8,8%). Sebagian besar bakteri pada pasien ICU RSPISS telah berkurang kepekaannya (resisten) terhadap beberapa antibiotik. A. baumannii dan P. aeruginosa merupakan bakteri yang paling resisten terhadap antibiotik uji. Pola kepekaannya menunjukkan bahwa bakteri patogen mempunyai resistensi tertinggi terhadap erythromycin dan terendah terhadap amikasin.Infectious diseases is an important health problem. Irrational antibiotics usage is a leading cause in initiating drugs resistances. A preliminary study was conducted on the sensitivity pattern of microorganisms against antibiotics at the intensive care unit of Sulianti Infectious Diseases Hospital Jakarta. Retrospective. Secondary data were collected on the results of antibiotics sensitivity tests and species of microorganisms of 107 patients during the year 2011. Sixty eight (65,4%) patients were positive on microorganism culture test and tested on antibiotic sensitivity test. Predominance pathogenic species found were Acinetobacter baumannii (29,4%), followed by Pseudomonas aeruginosa (27,9%), Klebsiella pneumoniae (13,2%) and Escherichia coli (8,8%). Most species were less sensitive (resistant) to several antibiotics. The pattern of sensitivity showed that pathogenic microorganisms were the most resistant against erythromycin and the most sensitive antibiotics was amikacin.
Peran Sistem Tata Udara dalam Pencegahan dan Pengendalian Infeksi Di Ruang Isolasi Airborne RSPI Prof. Dr. Sulianti Saroso Tahun 2017
Authors: Sundari Titi , Lisdawati Vivi , Jahiroh Jahiroh , Indrawanto Deki , Murtiani Farida , Yohana Yohana , Montain Maya Marinda , Pakki Temmasonge Radi , Rogayah Rita
Published: July 2021

Latar belakang : Sistem tata udara di ruang isolasi dirancang untuk mengurangi/menghilangkan penyebaran agen infeksius dengan cara menciptakan ruangan yang bertekanan negatif dan pergantian udara >12 Air Change per Hour (ACH) serta menggunakan hepafilter. Studi ini bertujuan menilai sistem tata udara ruang isolasi RSPI Prof. Dr. Sulianti Saroso dalam rangka pencegahan dan pengendalian infeksi yang disebabkan oleh airborne diseases. Metode : Studi cross sectional menggunakan data hasil pengukuran volume dan pergantian udara pada 11 kamar isolasi. Pengukuran dilakukan sebanyak dua kali yaitu pada awal dan setelah waktu pemeliharaan berkala. Data dianalisis mengacu pada standar nasional dan internasional. Hasil : Data volume udara pada pengukuran I, dikoridor: 585,89 M3; anteroom I-XI : -8,52 s/d 49,07 M3; kamar pasien I-XI: 0,1 s/d 11,65 M3; toilet -214,55 s/d -10,29 M3. Data pengukuran II, volume udara dikoridor: 259,32 M3; anteroom I-XI : 4,53 s/d 18,13 M3; kamar pasien I-XI: 0,24 s/d 11,65 M3; toilet -69,15 s/d -30,11 M3. Aliran udara mengalir dari ruang dengan volume tinggi menuju ke ruang dengan volume lebih rendah. Data pergantian udara pada pengukuran I, kamar pasien I-XI: 6,2 s/d 12,8 ACH. Data pengukuran II, kamar pasien I-XI: 12,11 s/d 12,99 ACH. Pengendalian infeksi semakin efektif dengan pergantian udara > 12 ACH. Kesimpulan : Sistem tata udara berperan penting dalam pencegahan dan pengendalian infeksi di ruang isolasi airborne. Hal ini perlu ditunjang dengan pemeliharaan dan pemeriksaan berkala agar besaran volume, pertukaran dan aliran udara sesuai standar
Gambaran Karakteristik Dan Pemberian Anti Difteri Serum (ADS) Pada Pasien Difteri Di Rumah Sakit Penyakit Infeksi Prof. Dr. Sulianti Saroso Tahun 2014-2016
Authors: Dyah Nugroho Anita Puspitasari , Hidayati Dedet , Montain Maya Marinda , Wijiarti Kunti , Murtiani Farida
Published: July 2021

Latar Belakang: Difteri merupakan penyakit infeksi akut disebabkan bakteri Corynebacterium diphteriae. Data surveilans Bidang Epidemiologi RSPI Prof. Dr. Sulianti Saroso, kasus difteri tahun 2014-2016 antara lain 3 kasus, 16 kasus, dan 37 kasus (CFR 3.40%). Besarnya kebutuhan ADS di RSPI SS ternyata disertai dengan kejadian stock out ADS di Instalasi Farmasi. Tujuan studi ini untuk mengetahui gambaran karakteristik dan pemberian ADS pada pasien difteri di RSPI Prof. Dr. Sulianti Saroso. Metode: Kuantitatif deskriptif melalui data sekunder berkas Instalasi Rekam Medik dan Farmasi, berjumlah 56. Hasil: Proporsi terbesar antara lain: usia 6-11 tahun (41.5%), jenis kelamin laki-laki (54.7%), asal wilayah DKI Jakarta (50.9%), asal rujukan RS Swasta (54.7). Hasil kultur positif tahun 2015 sebesar 2 kasus dan pada tahun 2016 sebesar 4 kasus. Tahun 2014 jumlah pemberian ADS terpenuhi sebesar 6 vial, tahun 2015 terpenuhi sebesar 43 vial dan tahun 2016 sebesar 99 vial, terpenuhi sebesar 92.5 vial. Kesimpulan: Ketidaksesuaian pemberian ADS terjadi pada tahun 2016. Saran: ADS harus selalu tersedia karena merupakan pengobatan utama pasien difteri
Deteksi Acinetobacter baumannii Multiresisten Obat Penghasil Biofilm menggunakan Pewarnaan Berbasis Crystal Violet
Authors: Kusumaningrum Ardiana , Maemunah Iin , Prasetyo Dimas Seto , Ibrahim Fera , Bela Budiman
Published: July 2021

Pendahuluan: Kasus infeksi terkait biofilm merupakan masalah besar pada dunia kesehatan karena sifat kekebalannya terhadap antibiotik dan respon imun, terutama pada kasus infeksi kronik akibat Acinetobacter baumannii. Saat ini terdapat berbagai metode deteksi pembentukan biofilm, namun pemeriksaan tersebut belum dilakukan secara rutin karena berbagai keterbatasan. Oleh karena itu, perlu dilakukan optimasi metode deteksi biofilm menggunakan bahan yang rutin tersedia di laboratorium serta mengukur proporsi sampel yang mengandung bakteri penghasil biofilm Metode: Desain penelitian ini adalah uji eksperimental. Pada penelitian ini dilakukan pengembangan deteksi pembentukan biofilm menggunakan metoda tabung microcentrifuse tube 1,5 ml berbahan polypropylene dengan zat warna berbasis crystal violet konsentrasi 0,1% dan 1%. Optimasi yang dilakukan meliputi media biakan, lama inkubasi, inokulum bakteri yang digunakan serta bahan pembilas. Isolat bakteri Pseudomonas aeruginosa ATCC 10145, A. baumannii ATCC 19606 Â dan Staphylococcus aureus ATCC 25923 digunakan sebagai kontrol positif dan kontrol negatif pemeriksaan yang dilakukan. Hasil: Pemeriksaan optimasi yang dilakukan, diperoleh kondisi optimal pembentukan biofilm menggunakan media Luria Bertani dengan besar inokulum 1 sengkelit penuh, lama inkubasi 30 jam dan pewarnaan dilakukan menggunakan crystal violet 0,1% serta bahan pembilas berupa PBS steril. Proporsi pembentukan biofilm pada A. baumannii multiresisten obat sebesar 55,3%. Kesimpulan: Metode deteksi pembentukan biofilm menggunakan metode tabung polypropylene yang dimodifikasi dan pewarnaan zat warna crystal violet 0,1% merupakan metode deteksi yang mudah dikerjakan, reproducible dan efisien, sehingga dapat dilakukan di laboratorium mikrobiologi klinik sederhana. Proporsi bakteri penghasil biofilm adalah lebih dari 50% A. baumannii resisten multiobat.
ФОРМУВАННЯ ІНШОМОВНОЇ КОМУНІКАТИВНОЇ КОМПЕТЕНЦІЇ У МАГІСТРІВ ПУБЛІЧНОГО УПРАВЛІННЯ ТА АДМІНІСТРУВАННЯ
Authors: Шестопалова Світлана
Published: July 2021

Стаття присвячена розкриттю питання  формування іншомовної комунікативної компетенції у здобувачів другого (магістерського) рівня освіти за спеціальністю 281 “Публічне управління та адміністрування”. Розглянуто сутність понять “компетенція”, “іншомовна компетенція”, “комунікативний підхід”. Здійснено аналіз вітчизняної та зарубіжної літератури з питань якісної підготовки сучасних фахівців з державного управління та адміністрування. Обґрунтовано важливість розвитку комунікативної компетенції та необхідність вивчення магістрами з публічного управління та адміністрування іноземних мов  в цьому контексті. Зазначено, що комунікативно-орієнтоване навчання іноземної мови, в основі якого покладено комунікативний підхід, передбачає формування у слухачів іншомовної комунікативної компетенції, яка вважається сформованою, якщо слухачі використовують іноземну мову з метою самостійного отримання і розширення своїх знань і досвіду. Встановлено, що характер навичок та вмінь, пов’язаних з формуванням іншомовної комунікативної компетенції при вивченні іноземної (англійської) мови магістрами з публічного управління та адміністрування носить не лише комунікативно-орієнтований, але й професійно-спрямований характер. У дослідженні показані ефективні форми та методи навчання іноземної мови професійного спрямування, зокрема з використанням проєктних технологій, аудіо- та відеоматеріалів, у тому числі автентичних матеріалів. Проведено опитування у формі анкетування серед слухачів магістратури за спеціальністю 281 “Публічне управління та адміністрування” та державних службовців, які проходили навчання з підвищення кваліфікації в Інституті державного управління та наукових досліджень з цивільного захисту (м. Київ). За результатами проведеного аналізу з’ясовано, що навчальна дисципліна “Іноземна (англійська) мова за професійним спрямуванням” є актуальною у наш час, слухачі виявляють бажання та розуміють необхідність вивчення мов для здійснення подальшої професійної діяльності або використання в різних життєвих ситуаціях, відмічають значне покращення свої знать за час навчання.
Ernesto Cardenal: “La poesía es ‘el camino’"
Authors: Ríos María del Pilar
Published: July 2021

Ernesto Cardenal, una de las figuras más destacadas de la poesía latinoamericana del último siglo, ha fallecido a sus noventa y cinco años. Este texto que conjuga lecturas, espacios, encuentros y experiencias es un reconocimiento al poeta, escultor, sacerdote y revolucionario nicaragüense.
Keutamaan Makan Sahur dengan Tamar (Kurma) (Kajian Kontekstual Hadits Abu Dawud)
Authors: Hidayah Nurul
Published: July 2021

Pemahaman umat Islam dalam menafsirkan hadist terkadang masih secara tekstual, belumsecara kontekstual terutama pada hadist yang mengandung majaz. Sehingga mengamalkanperintah yang terkandung dalam hadist tersebut menjadi sebuah keutamaan. Artikel inimembahas mengenai keutamaan makan sahur dengan menggunakan tamar (Kurma). Tujuanyang hendak dicapai penulis yaitu untuk mengetahui makna secara kontekstual yangterkandung dalam hadist Abu Dawud. Metode yang digunakan penulis yaitu metodekuantitatif. Adapun langkah kajian yang ditempuh oleh peneliti untuk mencapai tujuantersebut yaitu kajian secara linguistik, tematis komprehensif, konfirmatif, realitas historis,generalisasi, dan praksis. Secara kontekstual, hasil yang diperoleh penelitiyaitu anjuranmakan sahur bukan hanya untuk mencegah haus dan lapar melainkan karena pada saatsahur Allah dan para malaikat bershalawat kepada orang-orang yang melaksanakan sahur,meskipun hanya dengan seteguk air. Rasulullah menganjurkan umatnya untuk bersahurdengan makan kurma atau makanan yang manis-manis bergizi yang dapat menjadi energiketika menjalankan ibadah puasa.Kata Kunci: Keutamaan, Sahur, Kurma, Kontekstual, Hadist.
Pesantren Sebagai Lembaga Pendidikan Yang Efektif
Authors: Fauziah Fauziah
Published: July 2021

Pesantren merupakan sebuah lembaga pendidikan yang menitikberatkan pada pendidikan agama dengan membekali santrinya pengetahuan agama yang cukup melalui kajian kitab kuning sebagai sumbernya. Pendidikan yang dijalankan di dalamnya efektif dalam kaitannya dengan tujuan pendirian pesantren dan lulusannya yang memiliki kedalaman spiritual sehingga dapat memberikan arah yang benar terhadap masyarakat pada masa yang akan datang. Oleh karena itu pendidikan yang efektif telah dijalankan dengan baik oleh lembaga tersebut.