Miracle-dz/UniFAR-FTUs huggingface dataset:
Disease Diagnosis of Dairy Cow by Deep Learning Based on Knowledge Graph and Transfer Learning

In dairy herd management, it is significant and irreplaceable for veterinarians to make rapid and effective diagnosis of dairy cow diseases. Based on electronic medical records, deep learning (DL) has been widely used to support clinical decisions for humans. However, this method is rarely adopted in veterinary diagnosis. In addition, most DL models are driven by large datasets, failing to utilize the knowledge acquired by veterinarians in subjective experience, which is critical to disease diagnosis. To address these problems, this paper proposes a DL method for disease diagnosis of dairy cow: convolutional neural network (CNN) based on knowledge graph and transfer learning (KGTL_CNN). Firstly, the structural knowledge was extracted from a knowledge graph of dairy cow diseases, and treated as part of the inputs to the CNN based on knowledge graph (KG_CNN). Then, the model performance was enhanced through pre-training by transfer learning. To verify its performance, experiments were carried out on dairy cow clinical datasets. The results show that our model performed satisfactorily on disease diagnosis: the KG_CNN and KGTL_CNN achieved an F1score of 85.87% and 86.77%, respectively, higher than that of typical CNN by 6.58% and 7.7%. The research results greatly promote the effective, fast, and automatic clinical diagnosis of dairy cow diseases.
A REVIEW ON NATURAL LANGUAGE PROCESSING Report: Statistics and Facts

NLP is a branch of AI, mainframe Knowledge and so on. It computes to program, process and analyze the huge amount of text, speech, and data. In this paper, we reviewed the different methodology used in NLP and the techniques used in different papers are different from another with a good accuracy and our paper helps to know about the methodologies in NLP and helps to find the methodology for required application and it precisely according to the user need.
Ausbreitungstendenzen und Konkurrenzkraft der Douglasie in der Schweiz

Die Douglasie verjüngt sich in Europa seit Mitte des 20. Jahrhunderts auf natürliche Weise. Würde sie einheimische Arten verdrängen, müsste sie als invasiv bezeichnet und entsprechend behandelt werden. Da empirische Daten über das effektive Ausmass der natürlichen Verjüngung und Ausbreitung der Douglasie in der Schweiz noch weitgehend fehlen, wurde die Baumartenverjüngung in 39 Douglasienaltbeständen untersucht. Aus den Daten geht hervor, dass der Anteil der Douglasie im Jungwuchs (Höhe <130 cm) in der Mehrzahl der Bestände weniger als 5% ausmachte. In dieser Höhenklasse dominierte die Douglasie in 4 der 39 Bestände mit einem Anteil von mehr als 40% . Der Douglasienjungwuchs korrelierte positiv mit der Nähe zu Samenbäumen und dem Lichtdurchlass, aber negativ mit dem Deckungsgrad der Krautvegetation, der Mächtigkeit der Streuauflage und dem mittleren Temperatur-Zeigerwert der Krautvegetation. In der Dickung (Höhe ≥130 cm) wurden Douglasien mit Anteilen zwischen 10% und 23% in fünf Beständen (13%) festgestellt, insbesondere dort, wo ein hoher Anteil Douglasienaltbäume vorhanden war. In fast der Hälfte aller untersuchten Bestände (19 von 39; 49%) dominierte die schattentolerante Buche die Dickung. Die Douglasie wurde im Schweizer Mittelland vorwiegend an produktiven Buchenwaldstandorten angepflanzt. An solchen Standorten ist die Nadelbaumart aufgrund ihrer geringen Konkurrenzkraft in der Jungwuchsund Dickungsphase gegenüber Buchen und anderen Laubbäumen stark eingeschränkt und würde ohne Pflegemassnahmen verdrängt. An trockenen und mageren Standorten hingegen kann die Douglasie in Waldöffnungen anwachsen und sich stellenweise etablieren. Bei diesen Standorten empfiehlt sich, die Ausbreitung der Douglasie zu beobachten und gegebenenfalls zu kontrollieren.
Microplastics Contamination versus Inorganic Particles: Effects on the Dynamics of Marine Dissolved Organic Matter

Microplastic contamination has been linked to a range of impacts on aquatic environments. One important area that is only beginning to be addressed is the effect of microplastics on marine carbon cycling and how these compare to the effects related to inorganic particles typically present in ocean waters. The present study explores these impacts on dissolved organic matter dynamics by comparing three scenarios: a particle-free environment, a particle-enriched system with polystyrene microplastics, and a particle-enriched system with inorganic particles (water insoluble SiO2). Natural marine organic matter was obtained by culturing a non-axenic strain of Chaetoceros socialis in 2 L flasks under each of three scenarios. Following the diatom growth phase, filtered samples from the three flasks containing dissolved organic matter and bacteria were incubated separately in the dark for 5 days to monitor changes in dissolved organic matter. Chromophoric dissolved organic matter (CDOM), a bulk optical property, was monitored daily to examine changes in its quality and quantity and to compare degradation dynamics in the three systems. CDOM absorbance (quantity) remained higher in the control with respect to particle-enriched systems, suggesting that the presence of particles led to different rates of CDOM production and degradation. Using indicators for CDOM that could be related to microbial activity, results showed a higher CDOM alteration in the particle-enriched systems. These results indicate that microplastics have a potential role in modifying marine organic matter dynamics, on a similar magnitude to that of biogenic inorganic particles. Given their increasing concentrations of marine ecosystems, their role in marine microbial processing of organic matter needs to be better understood.
Road Peculiarities Detection using Deep Learning for Vehicle Vision System

Recent development of Advance Driver Assistance System (ADAS) has seen various advancement in object detection for vehicle vision system, particularly on the detection of other vehicles, pedestrians, road lane and signage. While these detections can provide assistant to avoid road accidents, they still lack to include road condition factors that also contributed to road accidents in Malaysia. This paper proposes a detection of the road peculiarities such as pothole and road bumps to act as additional safety feature in ADAS. With the breakthrough of deep learning in solving image recognition problems, this work takes advantage of Single Shot Detector (SSD)-MobileNetV2 as the detection algorithm, implemented on the real-time. The training images for potholes and road bumps taken from the Malaysia roads are fed into the detection model, and then the pre-trained weights are fine-tuned over the training process. The results show that the detection algorithm can predicts the potholes and road bumps, while exhibit the detection accuracy and confidence limitation due to the variety of shape and pattern of potholes and road bumps. Testing the detection algorithm with NVIDIA Jetson Nano yielded about 20 frames per second (fps), suitable for real-time applications.
Servis Kalitesi ve Müşteri Memnuniyeti Arasındaki İlişki: Kuzey Kıbrıs’taki Spor ve Sağlık Merkezleri

This study was carried out due to the increasing competition in sports and health centers and its popularity today. The service quality of the gyms and its effects on customer satisfaction were investigated. It is answering the questions about if customer satisfied. In this study, it emphasized the importance of improving the quality of service and how it affects the customer. It is mentioned that the variety of activities of the gyms attract the customer. this study revealed a positive relationship between variables. The survey conducted with information from the Ministry of Youth and Sports. Test was done with SPPS program and the pilot study checked and the work started without a fault. The pilot test held in 3 main centers: Famagusta, Kyrenia and Nicosia. The sample size was determined as 215 considering the 95% confidence interval, 5% confidence level and the participants in the Health and Sports Centers in Northern Cyprus between February and April in 2019, in order to calculate the sample size were evaluated and analyzed. In this study, it was observed that the service quality of gyms in Northern Cyprus affects customer satisfaction and gender and age factors have an effect on customer satisfaction. This kind of customer-oriented enterprises should ensure that the quality should be kept high. The absence of such a study in the Northern Cyprus contribute greatly to both the academy and the sector.
Promoting the model introducing, connecting, applying reflecting, and extending using Rasch analysis (ICARE-R) to improve students’ critical thinking skills on physics concepts

Critical thinking skills are important in physics learning because in physics learning comparable with examination actions on focuses reaching since detecting, formulating complications, collecting data, processing and considering data, and finishing. This study purposes on promoting of the ICARE model to improve students’ critical thinking skills on physics concepts using Rasch Analysis. The research method used a pre-experimental method with one group pretest-posttest design for 21 eleventh grade students (10 males and 11 females) and using Rasch analysis to measure the person reliability. Data were collected by pretest and posttest to measure of the ICARE model and person reliability on students’ critical thinking skills. The results showed that ICARE model persuaded critical thinking skills by the average score of 0.62, categorized as medium. It can be concluded that the ICARE model as one of the learning models that can influence and enhance students’ critical thinking skills.
Mechanical Properties of Teeth Restored After Selective Caries Excavation. Systematic Review and Meta-Analysis

˚ ABSTRACT: The aim of this study was to systematically review the literature of in vitro studies comparing the mechanical properties of teeth restored after selective caries excavation (SCE) and complete caries excavation (CCE). The PubMed/MEDLINE and EMBASE electronic databases were searched systematically. In vitro studies investigating the mechanical properties of teeth restored after SCE, were independently checked by two authors. Inclusion criteria were: (1) performing SCE (2) mentioning the teeth were later restored, and (3) evaluating mechanical properties of the restored teeth. Meta-analysis was performed with and without discriminating between shallow and deep lesions. From 1,859 potentially eligible studies, 14 were selected for full text analysis and 5 were included in the meta- analysis. Fracture resistance was significantly lower after SCE than after CCE in overall analysis (SMD[95%CI]=-1.62[-3.04,-0.20]) and for deep lesion (SMD[95%CI]=-1.62[-2.62,-0.61]), whereas cuspal deflection at 200 and 400N was significantly higher after SCE than after CCE for discriminated and non- discriminated analyses. Furthermore, for shallow lesions the risk of catastrophic fracture was significantly lower after SCE than CCE (RR[95%CI]=0.58[0.43,0.78]). The included studies presented low and medium risk of bias. The mechanical behavior of restored teeth seems to be affected by the excavation strategy. Although there is a tendency for lower fracture resistance and higher cuspal deflection after SCE, there is a lower risk of catastrophic failure when compared to CCE. However, this conclusion is based on very few in vitro studies.
Influence of Homogenization Conditions of Buffalo Milk on the Recovery of Milk Constituents and Yield of Mozzarella Cheese

Mozzarella cheese making involves losses of milk constituents, especially during plasticizing stage of cheese curd. Buffalo milk is considered more suitable than cow milk for Mozzarella cheese making, especially in terms of colour, yield and stretch property of resultant product. Homogenization of milk reduces the losses of milk constituents, increases its whiteness and is expected to render superior flavor to cheese. The fat globule size for buffalo milk is larger and the cheese tends to be firmer and chewy as compared to cow milk counterpart. Homogenization of buffalo milk is of significance in this regard since it can improve the color, recovery of milk constituents culminating in higher cheese yield, a mellower product with lower tendency to oil-off during baking applications. Since the conditions of homogenization affects the recovery of milk constituents, it was decided to study temperature and pressure of homogenization on such aspect including cheese yield. Homogenization of standardized buffalo milk at 55 or 65 o C and 4.90 MPa (P 2 ) pressure is found beneficial with regard to recovery of milk fat, while use of lower pressure i.e. 2.45 MPa (P 1 ) at above temperatures is found beneficial for protein and TS recoveries. P 2 pressure is more beneficial than P 1 pressure in improving the fat recovery in buffalo milk Mozzarella cheese. There is an improvement in the yield of Mozzarella cheese with an increase in homogenization pressure. The yield of Mozzarella cheese prepared using buffalo milk homogenized at P 2 and P 1 pressure (at 65 o C) was 17.00% and 16.10% respectively. The recoveries of milk fat, protein and TS and per cent yield for control cheese was 83.68%, 84.10%, 56.74% and 14.53% respectively.
A Newly-Developed Control Method for Harmonic Mitigation in PV Grid-Connected Inverters Under Electric Arc Furnaces in Industrial Microgrids

A microgrid (MG) is a discrete energy system consisting of distributed generation (DG) and loads or nonlinear loads that is able to operate at the same time the main grid is operating. The DG units can operate in parallel with the main grid or in an MG mode. The unbalanced and nonlinear characteristics of numerous loads that are in connection with the power system have the potential to bring about some problems, in terms of power quality, which can affect other consumers. For instance, the electric arc furnaces (EAFs) cause considerable problems for power quality. The instantaneous power theory (pq) and the coordinate formulation (dq) are proposed in this paper for harmonic current compensation for PV grid-connected inverters and EAF in MGs. With the proposed control strategy under EAF conditions, the total harmonic distortions of the system current were decreased from 38.24% to 3.25%, which duly satisfies the IEEE 519-1992 standard.
Acid mine drainage removal by mixed bacteria culture of Pseudomonas aeruginosa and Brevibacterium sp.

Acid mine drainage is a problem faced by the mining industry in Indonesia has a negative impact on the environment because it is very acidic and contains heavy metals. This bioremediation research to determine the ability of a mixed bacteria culture of Pseudomonas aeruginosa and Brevibacterium sp. in removal acid mine water. The study began with an allowance test in liquid media using artificial growth media Stone Mineral Salt solution (SMSs) with the tested parameters namely contact time (hours) and concentration of acid mine water pollutants (% v/v). Parameter variation consists of contact time (hours) 24 to 240 and concentration of acid mine pollutant water (% v/v) 10 to 25. Mixed culture are resistant to the presence of acid mine water as a substrate that is xenobiotic because no inhibition zones are formed around paper discs that have been exposed to acid mine pollutant water and can grow on Nutrient Agar (NA) media added with acid mine pollutants. The pH of the liquid media increased from 2.14 to 5,87 with optimum contact time 144 hours with a temperature of 30 °C and optimum pollutant concentration 10%.
Water-soluble porphyrins and metalloporphyrins as photosensitizers in aerated aqueous solutions. I: Detection and determination of quantum yield of formation of singlet oxygen

Mesure des rendements quantiques de formation de 10 2 en solutions aqueuses pour plusieurs porphyrines par: 1) blanchiment de la p-nitrodimethylaniline a 440 nm en presence d'imidazole et mesures de consommation de O 2 en presence d'accepteur de 1 O 2 . Les porphyrines cationiques (meso-tetra(4N-methylpyridyl-4) et porphyrine, meso-tetra(N,N',N''-trimethylamino-4phenyl) porphyrine) et anioniques (meso-tetra(carboxy-4phenyl)porphyrine et mesotetra(sulfonato-4phenyl) porphyrine ont des rendements quantiques eleves pour 1 O 2 (>0,6). Les porphyrines metalliques (metal diamagnetique) ont des rendements non nuls
Bystanders and response bias in face-to-face surveys in Africa

ABSTRACT Public attitude surveys provide invaluable data for assessing perceptions, values, and attitudes across societies and over time. Ideally, respondents feel secure to disclose accurate information (avoiding reporting bias and item non-response) in the context of a face-to-face interview. Yet, survey research seldom accounts for peer effects caused by bystanders. The existing research focuses primarily on the effects of parents and spouses on self-reporting illicit activities or marriage-related issues. Using survey data from the Afrobarometer, this paper finds that bystanders, especially non-familial ones, substantially affect responses to an array of questions (some sensitive and some not), which are typically consistent with a socially desirable response. In parallel, both family and non-family bystanders also increase the rate of ‘don’t know’ responses relative to private interviews. These findings provide further support for designing new approaches to secure private interviews and implementing alternative techniques in face-to-face survey methods to limit bias and capture ‘true’ opinions.
Mining Social Media (Twitter) Data for Corporate Image Analysis: A Case Study in the Indonesian Mining Industry

PT Freeport Indonesia (PTFI) is the largest multinational mining company in Indonesia which frequently becomes trending topics on social media. Since the continuation of the company’s business operations depends on many stakeholders including the regulators, it is important for the company to listen to public opinion in order to develop a solid public relation strategy to maintain its corporate reputation. The objective of this study is to gather insights from social media as input towards a data-driven public relations strategy development. As a case study, we analysed Twitter conversations mentioning PTFI between 20 to 30 August 2020 during which there was a strike in the company. We performed text mining techniques using Drone Emprit system specifically sentiment analysis, bot analysis, and descriptive analysis to get quantitative measures of the corporate image on social media. The findings suggest several improvement opportunities of the current social media strategy of the company including the lack of engagement from local communities, the absence of specific strategy to handle negative sentiment, and the lack of awareness of social media topics not reported by mainstream media. As the implication of the findings, we propose several recommendations including nurturing engagement from employees and local communities, addressing the most influential tweets, and choosing better time periods to get more engagement.
Case Studies on Neural Networks for Recognition in Biometric Identity Problem

Hand-dorsa vein recognition using a convolutional neural network is presented. Our network contains five convolutional layers and three full connected layers, which have high recognition and more robust. The experimental results on the self-established database with the proposed CNN achieves 98.02% in training part and 97.65% in testing part, which demonstrates the effectiveness of the proposed CNN.
Thinking outside the (temporal) box to explain protracted intrastate conflict

Conflict duration has been one of the central and enduring questions driving civil war literature. Still not enough attention has been given to the interdependency of conflict duration dynamics. In an effort to bridge the gap this study introduces a new variable that positions conflict duration as a function of the duration of the pre-conflict phase. I argue proto-insurgents are able to protract conflict due to good choices made before large-scale conflict erupted – or during a period of time called ‘incubation’. After controlling for standard explanations, this study offers statistical evidence that proto-insurgent incubation duration is statistically significant and positively related to conflict duration. This study further explores the usefulness of thinking outside of the standard temporal space of wartime by moving beyond the widely accepted assumption that insurgents are empowered and constrained primarily by wartime decisionmaking and the wartime environment in which they find themselves.
Design of a clinical database to support research purposes: Challenges and solutions

The aim of this paper is to propose solutions to challenges faced by database systems for clinical research purposes. Current clinical databases are primarily based on data acquisition for healthcare intentions. However, these healthcare databases lack the data analysis capability for clinical researchers. In order for clinical researchers to use the healthcare databases in an effective manner, such as in their clinical trial studies, challenges of data integration, data storage, and data retrieval in the current healthcare database settings need to be overcome. Our proposed solutions include using: 1) NoSQL to efficiently integrate clinical databases with legacy healthcare databases, (2) entity attribute value model for data retrieval, and (3) warehouse for big data storage.
The role of a rosette‐shaped plant (Eryngium horridum, Apiaceae) on grassland spiders along a grazing intensity gradient

Rosette‐shaped plants can amplify the diversity of predator arthropods and act as potential shelters for these animals in grassland ecosystems under grazing effect. Here we evaluated the contribution of a vertical rosette‐shaped plant (Eryngium horridum) to patterns of spider diversity and functional traits in subtropical grasslands under different grazing intensities. We used a common sub‐shrub (Baccharis crispa) and the herbaceous vegetation as reference microhabitats. Sampling was conducted in 23 plots described according to grazing intensity based on environmental co‐variables. Spiders were sampled with D‐Vac suction within patches of E. horridum, B. crispa, and the herbaceous vegetation. Compared to the reference microhabitats, E. horridum harboured distinct community composition with a subset of exclusive species, and morphologically adapted spiders. Spider richness increased in Eryngium plants as grazing pressure increased and the grassland became more simplified. Abundance of runners and space web‐builders responded in a similar fashion, while orb‐web builders were more abundant in E. horridum regardless of grazing intensity. Our results indicate that these rosette plants positively affect top invertebrate predators, with a special role for sites with high grazing intensities where it promotes microhabitat complexity and aggregates more individuals and species. Thus, grassland management that alter Eryngium's occurrence must be conducted cautiously.