bluuebunny/crossref_metadata_2025_split huggingface dataset:
HANDBOOK ARITMATIKA SOSIAL DENGAN PENDEKATAN NILAI-NILAI ISLAM
Authors: Hardiyanti Septi , Farida Nurul , Suryadinata Nurain 
Published: May 2021

Abstrak Tujuan penelitian ini adalah mengembangkan bahan ajar yang layak (valid dan praktis) berbentuk handbook dengan menggunakan pendekatan nilai-nilai islam pada materi aritmatika sosial. Jenis penelitian yang digunakan adalah Research and Development (R&D) dengan langkah-langkah: potensi dan masalah, pengumpulan data, desain produk, validasi desain, revisi desain, uji coba produk, revisi produk, uji coba pemakaian, revisi produk, produk masal. Instrumen penelitian yang digunakan adalah lembar angket validasi, lembar angket respon siswa dan lembar angket respon guru. Berdasarkan hasil validasi dengan persentase penilaian dari aspek materi dan bahasa 84,2% dikategorikan sangat valid, aspek agama 81,8% dikategorikan sangat valid, dan aspek desain 78,8% dikategorikan valid, dan rata-rata penilaian validator adalah 81,4% dengan kategori sangat valid. Sedangkan dari hasil uji coba pemakaian diperoleh rata-rata angket respon yang diberikan oleh 1 guru dan 18 peserta didik sebesar 84,3% dikategorikan sangat layak. Berdasarkan kriteria yang telah ditetapkan maka bahan ajar berbentuk handbook dengan menggunakan pendekatan nilai-nilai islam pada materi aritmatika sosial yang dikembangkan memenuhi kriteria valid dan praktis, menurut validator dan peserta didik. Kata kunci: Aritmatika sosial; bahan ajar; handbook; nilai-nilai Islam. AbstractThe purpose of this research is to develop appropriate (valid and practical) teaching materials in the form of a handbook using the Islamic values approach to social arithmetic material. The type of research is research and development (R & D) with steps to use are research and information collecting, planning, develop preliminary from the product, preliminary field testing, main product revision, main field testing, operational product revision, operational field testing, final product revision, and dissemination and implementation. Based on the results of the validation with the percentage of assessment from the material and language aspects 84.2% were categorized as very valid, 81.8% religious aspects were categorized as very valid, and 78.8% design aspects were categorized as valid, and the average validator assessment was 81.4% with very valid categories. Whereas from the results of the trial use, the average response questionnaire given by 1 teacher and 18 students at 84.3% was categorized as very feasible. Based on the established criteria, the teaching material in the form of a handbook using the Islamic values approach to social arithmetic material developed meets valid and practical criteria, according to the validator and students. Keywords: Social arithmetics; teaching material; handbook; Islamic values.
Infections of the Urinary Tract of Bacterial Origin in Dogs and Cats
Authors: Kocúreková T. , Koščová J. , Hajdučková V. 
Published: May 2021

Abstract
The diseases of the urinary tract in small animal medicine, especially in dogs and cats, occur frequently with different etiologies. The most common cause of urinary tract infections (UTIs) are bacteria which enter upwards through the urethral opening. UTIs occur in hosts with compromised defence mechanisms in which the virulent microbes can adhere, multiply and persist in the urinary tract. In addition to bacteria, also viruses or fungi may infect the urinary tracts. Bacterial infection can develop in the upper (kidneys and ureters) or lower (bladder, urethra) urinary tract and are manifested by various clinical signs such as: frequent or difficult and painful urination, presence of blood in the urine, or its foul odour. The symptoms in sick animals are often accompanied by fever, discomfort, and loss of appetite. The UTIs in dogs and cats are caused by both Gram-negative (e. g. Escherichia coli, Pseudomonas aeruginosa, Klebsiella spp., Proteus spp.) and Gram-positive (e. g. Staphylococcus spp., Streptococcus spp., and Enterococcus spp.) bacteria. The properly performed aseptic sampling of the urine is one of the most important steps in bacteriological diagnostics. In this study, 105 urine samples were collected from dogs and cats. The cultivation, microscopy and biochemical examinations were used for species identification. Finally, the bacteriological examination included also determining the susceptibility of pathogens against antibiotics by the disc-diffusion method. The results were processed and expressed as a percentage according to identified pathogens, animal species, sex, breed and age. The uropathogens were diagnosed mainly in males aged 7—10 years. The most commonly identified pathogens were Escherichia coli, Streptococcus spp. and Staphylococcus spp. Tests of bacterial susceptibility to antibiotics showed that enrofloxacin, cefotaxime, and cephazolin were the most effective against uropathogens.
The Use of Endoscopic Diagnosis in Dogs with Upper Respiratory Diseases with Respect to the Localisation of Pathogens and the Subsequent Therapy
Authors: Bajtoš M. , Kožár M. 
Published: May 2021

AbstractBacterial diseases of the upper respiratory tract accompanied with various degrees of clinical signs are relatively frequent in a small animal clinical practice. The clinical signs are usually mild, mostly connected with clinical manifestation of nasal discharge, mild dyspnoea, sneezing, and coughing; however, in some cases they may convert to a chronic stage with serious systemic manifestations. The course and development of complications depends on the etiological agent and the success or failure of the subsequent therapy. An accurate diagnosis is of the upmost importance in order to develop an appropriate therapeutic plan for disease management. The present study focused on: endoscopic visualisation of the upper respiratory tract of the affected animals; localisation of pathological changes, and the targeted collection of the samples. This clinical study involved 26 patients with long-term signs of the affected airways that progressed to chronic stages after the failure of the prescribed therapy. Each patient was clinically examined, sedated and subjected to an endoscopic examination that involved the collection of samples. The samples were examined microbiologically, tested for antibiotic resistance, and a targeted therapy was implemented. The endoscopic and complex microbiological diagnosis enabled: more effective management of the bacterial infection; shortening of the therapy; and a convalescence period that reduced the risk of the development, or the spreading of resistant bacteria.
Data mining methods of healthy indoor climate coefficients for comfortable well-being
Authors: Behrens Grit , Schlender Klaus , Fehring Florian 
Published: May 2021

Abstract
This article provides information about a currently developed measurement and analysis system ‘Smart Monitoring’, which is used on scientific project in terms of healthy indoor air coefficients, as well as the processing of the collected data for machine learning algorithms. The target is to reduce CO2 emissions caused by wrong ventilation habits in building sector after renovation process in older buildings.
Xerothermic pavements – a meadow biodiversity richness. Jaworzno case study
Authors: Boroń Marta , Ociepińska Małgorzata , Żeber-Dzikowska Ilona , Gworek Barbara , Kondzielski Igor , Chmielewski Jarosław 
Published: May 2021

Abstract
Xerothermic pavements are plant communities located in sunny and dry sites, comprising many protected and valuable species. In Poland, thermophilic pavements occur in fragmentary patches, and because they are semi-natural communities, they require active protection. Several sites covered by pavements occur in Jaworzno town; the main threat posed on them, that is, overgrowing by bushes and trees, is removed naturally. The town authorities have decided to support sheep grazing, due to which biodiversity of xerothermic pavements is maintained and local sustainable farming is reinforced.
Cybercrime: A Challenge to Law Enforcement
Authors: Arifi Dora , Arifi Besa 
Published: May 2021

Abstract
When comparing 100 years ago and today, we always mention the social, economic and political changes that have influenced the emergence and development of the opportunities that we have today, with special emphasis on technological changes. Technology has evolved so fast that it seems that in the blink of an eye something new has just hit the market. Whether we like it or not, technology has become part of us, part of our lives, where we upon spend a great deal of the day with at least one of our technological devices with which we perform many tasks.
Nowadays there are limitless possibilities of gathering information, business, shop, and almost anything through the internet.
Although it is a very easy to make payments online, it can be quite risky, because not every website offers the security and convenience for purchasing the product we want and we may have doubts whether the money we have paid has gone to the right place and for the specific service, which we have paid for. The Internet has many positive as well as negative aspects, since it also carries great danger because it is much easier to hind behind a false identity and commit illegal acts.
Cybercrime presents a new challenge to legal systems, considering that the more individuals use computer, and the Internet, the more the interest of hackers and perpetrators to commit these types of crimes increases.
Automatic Speech Recognition: A Comprehensive Survey
Authors: Rista Amarildo , Kadriu Arbana 
Published: May 2021

AbstractSpeech recognition is an interdisciplinary subfield of natural language processing (NLP) that facilitates the recognition and translation of spoken language into text by machine. Speech recognition plays an important role in digital transformation. It is widely used in different areas such as education, industry, and healthcare and has recently been used in many Internet of Things and Machine Learning applications. The process of speech recognition is one of the most difficult processes in computer science. Despite numerous searches in this domain, an optimal method for speech recognition has not yet been found. This is due to the fact that there are many attributes that characterize natural languages and every language has its particular highlights. The aim of this research is to provide a comprehensive understanding of the various techniques within the domain of Speech Recognition through a systematic literature review of the existing work. We will introduce the most significant and relevant techniques that may provide some directions in the future research.
The Role of Ultrasonography in the Diagnosis of Functional Dyspepsia
Authors: Cvetkovic Mirjana , Jovanovic Igor , Crevar-Marinovic Slobodanka , Brankovic Marija , Mandic Olga , Maksimovic Jasmina , Zdravkovic Nataša , Simovic Stefan , Stanisavljevic Natasa 
Published: May 2021

Abstract
Functional dyspepsia (FD) is a syndrome mostly diagnosed by subjective patients’ symptoms after excluding organic, systemic and metabolic diseases. Aim: The goal of this study is to evaluate gastric emptying in patients with functional dyspepsia, by measuring the antral area (cm2) after the intake of a test meal using ultrasonography as an objective and widely applicable method. Material and Methods: This study included 30 patients (mean age of 46.53 ±9.73 years) with symptoms of FD according to the ROMA IV criteria and 30 healthy individuals (mean age of 42.87 ±4.42 years). A 5 MHz ultrasound probe was used to measure the stomach antral area at 6 different time points: in the fasting state, following the meal intake at 5, 30, 60, 90 and 120 min postprandially. Results: The antral area was statistically significantly larger after a 30-minute postprandial period in patients with FD comparing to healthy controls (p<0.05). There was a statistically significant difference in the rate of gastric emptying at 120 minutes in patients with functional dyspepsia, compared to healthy subjects (p <0.01). Patients with postprandial distress syndrome had the average value of gastric emptying 48.25 compared to 56.09 in patients with epigastric pain syndrome (p <0.05). The slowest emptying was observed in patients with nausea and postprandial fullness (p <0.05). Conclusion: Functional dyspepsia is associated with delayed gastric emptying. Using ultrasonography to measure the antral area helps us to assess gastric emptying and therefore to assess patients with functional dyspepsia. The antral area was significantly larger in patients with functional dyspepsia compared to healthy subjects after the test meal, suggesting slower gastric emptying in the dyspeptic patients. Since the diagnosis of functional dyspepsia is based mostly on diverse patients’ symptoms, using ultrasonography to measure the antral area helps us to objectively assess this problem.
Studentsâ€™ Readiness in Implementing Mobile Learning for English Language Learning Purposes
Authors: Khalik Muhammad Fathur Rahman , Putro Nur Hidayanto Pancoro Setyo 
Published: May 2021

Background:
The application of mobile learning (m-learning), especially in the area of language learning, has gained interest in the last several years due to the benefits offered by mobile devices. However, to maximize the effectiveness of m-learning, students are required to be ready. Thus, it is crucial to assess studentsâ€™ readiness before implementing m-learning. By focusing on rural schools, this quantitative study aims to examine studentsâ€™ readiness in implementing m-learning in their English language learning.
Methodology:
This study employed a survey design to measure m-learning readiness of senior high school students by investigating three factors, namely mobile self-efficacy, optimism, and self-directed learning. Through an online questionnaire, 140 responses were successfully collected from students in two public senior high schools (one high school and one vocational high school) located in a rural area in Soppeng, Indonesia. The data collected were subsequently analyzed using SPSS Statistics ver. 25.
Findings:
The results revealed that senior high school students from a rural area in Soppeng, Indonesia, had a high level of self-efficacy and optimism in implementing m-learning in their English language learning. However, their self-directed learning was still at a moderate level. Moreover, further analysis showed that type of school significantly affected studentsâ€™ mobile self-efficacy and optimism, while self-directed learning was not affected.
Conclusion:
Students from rural senior high schools in Soppeng, Indonesia, showed readiness in implementing m-learning for English language learning purposes.
An Exploration of Opportunities and Barriers for Implementing Urban Agriculture at Queen's University in Kingston, Ontario
Authors: Minielly Rebecca 
Published: May 2021

Previous qualitative studies of urban agriculture (UA) in neighbourhood contexts suggest that UA projects do have the potential to contribute positively to community sustainability. Queen’s University in Kingston, Ontario expresses a commitment to sustainability. This qualitative study is concerned with the capacity of UA at a university campus scale to fulfill Queen’s commitment to sustainability. Is UA possible here and will it contribute significantly to sustainability? A thorough literature review of urban agriculture, community sustainability, and institutional land use planning is a major component of the research. A review of food and sustainability policy in Kingston and at Queen’s is another component. As the study progresses it will also include 7-10 semi structured interviews. Each participant will be involved with either campus UA at another university, the management of Queen’s land use, or Queen’s food and sustainability projects. Due to the length of the Queen’s ethics approval procedure, primary research for this study has not yet been conducted. The Queen's Sustainability website suggests that Queen’s campus has one community garden and it "consistently has a waiting list". Meanwhile, the Physical Plant Services website states that Queen's has over 140 acres of green space. There is plenty of opportunity for UA at Queen's. This thesis draws on literature review to explain the potential opportunities and barriers for UA in general, while policy analysis will expose opportunities and barriers for UA at Queen’s in particular. Going forward, informational interviews will also be necessary to understand opportunities and barriers for UA at Queen’s.
Bhasin v Hrynew - The New Duty of Good Faith in Contract
Authors: Scott Brittany 
Published: May 2021

Over the past number of years, the law surrounding the requirement to operate in good faith in conducting contractual obligations has been a developing principle in common law countries from Australia, to the United Kingdom to Canada. In Canada, this principle has developed separately within the civil and common law legal traditions respectively. While the Quebec Civil Code has historically provided for an expectation of parties to a contract to operate in good faith, the common law in Canada has not been as clear. Prior to 2014, the Canadian common law duty to negotiate in good faith was an unsettled body of law, recognized in certain areas, but not across the discipline as a whole. It has only been since the Supreme Court of Canada decision in Bhasin v. Hrynew that this duty to negotiate in good faith has been outlined as a coherent set of guiding principles. Parties to a contract are now both bound by a general organizing principle of good faith in contracts and are expected to act honestly in the performance of their contractual obligations. While new to the Canadian common law, numerous cases have been quick to test the court’s interpretation of this change in scope to the law of good faith. As Canadian common law jurisprudence moves forward, this principle will continue to expand and develop.
KEMAMPUAN LOMPAT JAUH MENGGUNAKAN MEDIA “KB” KELAS V SDN 11 DURIAN SEBATANG
Authors: Joharuddin Udin 
Published: May 2021

Sports activity for grade V elementary school students is not an abstract experience. Therefore, the use of used cardboard props is very important to make it easier for students to learn the long jump practice. One of the alternative props that can be used in the long jump practice is used cardboard (KB). The purpose of this research is to find out that the use of used cardboard props (KB) can improve the long jump ability of grade V students of SDN 11 Durian Sebatang, Seponti District, Kayong Utara Regency. After carrying out Classroom Action Research for 2 cycles, in general it can be said that by using used cardboard props (KB) students' long jump abilities were quantitatively increased. In addition, the interest, attention, participation and presentation of students also increased.
BIMBINGAN TEKNIS PEMBUATAN APLIKASI GOOLE FORM UNTUK MENINGKATKAN KOMPETENSI GURU MIN 1 KETAPANG
Authors: Supriadi Suoriadi 
Published: May 2021

The Implementation of Practical Assistance as an Effort to Enhance Teacher Competence in Optimizing Goole Form Application for Online Learning at Madrasah Ibtidaiyah Negeri (Islamic State Elementray School) 1 Ketapang Academic Year 2020/2021.The Implementation of Practical Assistance as an Effort to Enhance Teacher Competence in Optimizing Goole Form Application for Online Learning at Madrasah Ibtidaiyah Negeri (Islamic State ElementraySchool) 1 Ketapang Academic Year 2020/2021. The purpose of this study is to to develop teacher’s competence in bulding Google Form to improve the quality of learning and assessment. This research is a School Action Research which consists of 2 cycles, with the participatory observation from 15 teachers. Each cycle entails of planning, implementing, observing and reflecting. Based on the results of predetermined steps related to the research, there is an improvement in teacher ability compares before practical assessment is implementedand after it is implemented. The competence of teachers in making Goggle Form applications before practical assessment activities is in the range of values of 28% with the criterion for the score is Less. 2) Teacher’s competence in optimizing the Google Form application after the first stage reached values of 68% of satisfactory criteria. As in advance, after the second stage is practically completed, the score reached 86%, determined as more satisfactory criteriacompared from the previous stage.
Probabilistic Random Forest Improves Bioactivity Predictions Close to the Classification Threshold by Taking into Account Experimental Uncertainty
Authors: Mervin Lewis , Trapotsi Maria-Anna , Afzal Avid M. , Barrett Ian , Bender Andreas , Engkvist Ola 
Published: May 2021

In the context of small molecule property prediction, experimental errors are usually a neglected aspect during model generation. The main caveat to binary classification approaches is that they weight minority cases close to the threshold boundary equivalently in distinguishing between activity classes. For example, a pXC50 activity value of 5.1 or 4.9 are treated equally important in contributing to the opposing activity (e.g., classification threshold of 5), even though experimental error may not afford such discriminatory accuracy. This is detrimental in practice and therefore it is equally important to evaluate the presence of experimental error in databases and apply methodologies to account for variability in experiments and uncertainty near the decision boundary. In order to improve upon this, we herein present a novel approach toward predicting protein-ligand interactions using a Probabilistic Random Forest (PRF) classifier. The PRF comprises a modification to the long-established Random Forest (RF), to take into account uncertainties in the assigned classes (i.e., activity labels). This enables representing the activity in a framework in-between the classification and regression architecture, with philosophical differences from either approach. Compared to classification, this approach enables better representation of factors increasing/decreasing inactivity. Conversely, one can utilize all data (even delimited/operand/censored data far from a cut-off) at the same time as taking into account the granularity around the cut-off, compared to a classical regression framework. The algorithm was applied toward ~550 target prediction tasks from ChEMBL and PubChem. The largest benefit in incorporating the experimental deviation in PRF was observed for data points close to the binary threshold boundary, when such information is not considered in any way in the original RF algorithm. In comparison, the baseline RF outperformed PRF for cases with high confidence to belong to the active class (far from the binary decision threshold). The RF models gave errors smaller than the experimental uncertainty, which could indicate that they are overtrained and/or over-confident. Overall, we show that PRF can be useful for target prediction models in particular for data where class boundaries overlap with the measurement uncertainty, and where a substantial part of the training data is located close to the classification threshold. With this approach, we present, to our knowledge, for the first time an application of probabilistic modelling of activity data for target prediction using the PRF algorithm.