Miracle-dz/UniFAR-FTUs huggingface dataset:
The Novel Solution for Acid Whey Permeate Application in Animal Feeding

Abstract The experiment was conducted to analyse the effect of fermented acid whey permeate on milk yield and composition in the lactating cows. Propionic acid bacteria and their metabolites have been used in the lactating cows feeding over decades, primarily to improve growth performance, feed conversation and milk production efficiency. Two groups of the lactating cows were arranged in the study: control group (n=50) and experimental group (n=50). Experimental group’s animals received 0.5 L of fermented whey permeate daily. Acid whey permeate was inoculated with the freeze-dried PS-4 (Propionibacterium freudenreichii subsp. shermanii, Chr.Hansen, Denmark) starter and fermented anaerobically for 48 hours at 20±2 oC. Fat, protein, lactose and total solids concentration in acid whey permeate and fermented acid whey permeate was analysed by the standard methods, but propionic acid was detected by HPLC. Milk composition and quality indices were determined at the beginning of the study and each month during 6 months period. At the end of the study the feeding of fermented acid whey permeate was stopped, but milk composition and quality data were monitored additionally after one month. Milk fat, protein, lactose, total solids, urea concentration and somatic cell count were analysed by a near infrared spectroscopy. The variability in milk composition and quality data across trial was greater in the experiment group than in the control. Milk fat and somatic cell count were significantly different (p<0.05) than other studied parameters in the experimental group cows’ milk. Milk yield and lactose concentration were tended to increase during feeding of fermented acid whey permeate in the lactating cows without significant differences between control and experimental groups. Fermented acid whey permeate as feed supplement improves energy metabolism for dairy cows which results in the higher milk yield and fat concentration.
A Study of Internships and Conferences on Retention and Graduation of Undergraduate Students

The issue of retention and graduation of STEM college students is an important one in the United States, which the federal government, and its agencies, have focused on addressing for many years. In this paper, the authors discuss the experiences of a National Science Foundation STEP (STEM Talent Expansion Program) award to the School of Engineering at the University of New Mexico (UNM). The objective of this project is in-line with the national goal of improving retention and graduation rates of STEM students (specifically engineering and computer science students). The setup of this STEP project is unique in the sense that it focuses its efforts and activity funding on internships and professional conference participation trips for early career engineering and computer science students. In addition to a background on the national STEP Program, the paper discusses the constructive elements of this project and the data that was collected to measure its impact. The methods of this research involved data collection and analysis, surveys, bivariate descriptive statistics with statistical significance, and multivariate logistic regression analysis. The findings supported the original hypothesis of this multi-year study concerning the anticipated positive effect internships and conference participations can have on the graduation and retention of engineering undergraduate students. Therefore, it is concluded that such activities be explored at other higher education institutions in order to improve their retention and graduation numbers.
Experimental Test of Tammann's Nuclei Development Approach in Crystallization of Macromolecules

Abstract Prediction of the supermolecular structure and with that of properties of crystallizable polymers requires in-depth knowledge about the crystallization behavior, in particular the temperature-dependence of the nucleation kinetics. Typically, at low supercooling of the melt the nucleation rate/nuclei density often is assessed by optical microscopy, through an analysis of the evolution of the spherulitic superstructure. This approach fails if the nuclei density is too high, or if nuclei formation is not followed by growth due to chain-mobility constraints. In such cases, Tammann's two-stage crystal nuclei development method can be applied. It includes the formation of crystal nuclei at high supercooling of the melt, and their detection at higher temperature, after their growth to crystals. Though initially developed for analysis of low molecular mass compounds, this approach has recently also successfully been employed for analysis of the nucleation behavior of polymers, which is demonstrated here on the examples of poly (L-lactic acid) (PLLA), and poly (∊-caprolactone) (PCL). While in case of PLLA the ability to gain information about isothermal and non-isothermal nucleation is explained, in case of PCL new information about the thermal stability of nuclei is presented. The importance of such analyses in the context of understanding structure formation of polymers at processing-relevant cooling conditions is discussed.
THE SYMPATHETIC NERVOUS SYSTEM FOR APPLICATION IN THE CONTINUOUS BLOOD PRESSURE MEASUREMENT

This paper displays standardized measurements to examine the skin conductance level (SCL) as an index for the sympathetic nervous system’s activity considering a possible standardization of personal variability. SCL measurements were performed at baseline, Cold-Pressor-Tests and Stroop Tests for 15 subjects and interand intra-individual mean SCL values were examined. The logarithmic representation displays a high inter-individual variability, denoted by a high fluctuation range of the absolute values and SCL amplitudes. A standardization of inter-individuality could not be achieved by the applied methods (range correction and z-transformation). For the relative intra-individual comparison of the stress situation to the baseline, a method of correction for the determination of the real effect of sympathetic activation was established. EDA should be combined with other parameters of the ANS for a more precise evaluation of stress situations in the context of changes in blood pressure.
Chlamydiae – What’s New?

Abstract This paper provides an overview of the current knowledge of chlamydiae. These intracellular microorganisms belonging to the Chlamydiaceae family are widely distributed throughout the world. Constant development of culture-independent approaches for characterisation of microbial genomes enables new discoveries in the field of Chlamydia. The number of new taxa is continuously increasing as well as the range of hosts. New species and genotypes are constantly being discovered, particularly new avian and reptilian agents, which are discussed in this article. Interestingly, wild animals are the main hosts for new Chlamydia species including different species of bird, turtle and snake. The availability of next-generation sequencing opens up a new prospect for research and leads to deeper knowledge of these interesting microorganisms about which much is still to discover.
DESIGN AND IMPLEMENTATION OF DISTRIBUTED LEDGER BASED HEALTH DATA MANAGEMENT SYSTEM

In this paper, we propose a new health data management system based on distributed ledger. The Personal Health Record (PHR) systems are the most developed technology for a person to manage his or her own health data. The PHR systems have technical and legal problems despite rapid technological advances. It is technically very difficult to integrate and standardize dispersed data. In addition, there are many legal limitations because health data is very sensitive. Therefore, the PHR systems have attempted to solve these problems using blockchain. However, these attempts do not solve all problems. Personal health data is still dispersed, and in some countries it is not legally permitted to record health data in a blockchain. In most countries, individuals have a right to store their own health data. The proposed system stores health data in the device of each information subject participating in health data generation processes. The proposed system also makes the individual user’s device a member of the network. Users can utilize the data as if they were using the data on a single system.
Diosmin attenuates schizophrenia-like behavior, oxidative stress, and acetylcholinesterase activity in mice

Abstract Objectives Diosmin (DSM), commonly isolated from various plants, is a citrus nutrient that has been shown to increase intracellular antioxidant capacity and assuage symptoms associated with neurological disorders. Deficiency in the antioxidant system has been implicated in the pathogenesis of schizophrenia. The use of antioxidants as neuroprotectants to suppress schizophrenia pathology is increasingly being sought. Hence, this study investigated the effects of DSM on schizophrenia-like behavior and the underlying changes in biomarkers of oxidative stress and acetylcholinesterase (AChE) activity in mice. Methods The acute antipsychotic effect of DSM (25, 50, and 100 mg/kg, intraperitoneally [i.p.]), haloperidol (1 mg/kg, i.p.), and risperidone (RIS) (0.5 mg/kg, i.p.) was investigated on stereotyped behaviors induced by apomorphine (2 mg/kg, i.p.) and ketamine (10 mg/kg, i.p.). The effect of DSM on ketamine-induced hyperlocomotion, immobility enhancement, and its woodblock cataleptogenic potential was evaluated. Also, the subacute antipsychotic potential of DSM was assessed following intraperitoneal injection of DSM (25–100 mg/kg, i.p.) alone and in combination with ketamine (20 mg/kg, i.p.) for 10 days. The behaviors of the animals were assessed in the open-field, Y-maze, and forced swim tests. Brains of the animals were afterward processed for spectrophotometric assay of oxidative stress and AChE contents. Results DSM (25, 50, and 100 mg/kg) attenuated apormorphine-induced stereotypy and devoid of cataleptogenic effect. DSM and RIS reversed acute and subacute ketamine-induced schizophrenia-like behaviors. Disomin alone increased cognitive function and reduced despair-like phenotype. Furthermore, DSM increased superoxide dismutase and glutathione and decreased malondialdehyde and AChE levels in naïve and ketamine schizophrenic mice. Conclusions DSM prevents schizophrenia-like behavior, attenuates oxidative stress, and AChE activity in naïve and ketamine schizophrenic mice.
Design of a dipole tag antenna with a double loop for UHF RFID application

Recently, UHF Radio Frequency Identification (RFID) systems have gained great attention due to the advantage of long reading distance. A tag consists of an antenna and an Application Specific Integrated Circuit (ASIC) chip. Designing of an antenna for RFID tag is difficult in matching the antenna impedance with that of a tag chip. Unlike the impedance matching for traditional antennas, the conjugate matching method is used to design RFID antennas to get high power transmission between an antenna and a chip[1]. Since the energy transmission between the chip and the antenna is most important factor to determine the reading distance, a successful antenna design is estimated by the degree of conjugate impedance matching between antenna element and chip[2]. In this paper, a dipole antenna with a double loop is proposed as a tag. The required input resistance and reactance can be easily achieved by adjusting appropriate geometry parameters. The proposed antenna has a great advantage of controlling the antenna impedance under various conditions.
Evaluation of embedded virtualization on real-time Linux for industrial control system

Real time control applications in industrial control systems have long been trusted to run on specially designed dedicated embedded hardware like PLCs, controllers etc. The essential non real-time functionalities of the automation systems like engineering and HMI are separately executed on independent hardware. Over the last decade, advancements in RTOS, technologies such as virtualization and availability of more powerful COTS hardware have enabled the recent trends, where industrial PCs are being proposed to replace the hardware controller units. This paper describes the evaluation of our prototype control system on a general purpose hardware based on Linux rt-preempt. In our setup, the control logic is executed by a runtime control engine alongside the standard engineering framework, standard HMI, data acquisition, EtherCAT based IO and also general PC utility applications on a uni-processor system without impacting the deterministic performance. The paper discusses in detail, our performance evaluation results and the methodologies used in terms of, the test setup, boundary conditions, and the parameters measured under typical load conditions as in real industrial applications.
Contribution of Internationalisation to SME Growth: Evidence from the Kenyan Manufacturing Sector

Abstract Sub-Saharan African countries are among the poorest countries in the world and there is a need to develop their economies. Researchers suggest the promotion of small and medium-sized enterprises (SMEs) to foster economic development in countries. Internationalisation has been proved to be a key strategy for SME growth. This study investigates the effect of internationalisation on manufacturing SME growth in Kenya. Kenya is a developing country and the leading economy in the East African community. Using data from the World Bank enterprise survey, a sample of 94 SMEs operating in Kenya between 2013 and 2018 was selected. Multiple linear regression analysis using ordinary least square (OLS) was applied and the results revealed that internationalisation through direct exports contributed positively to the growth of manufacturing SMEs in Kenya. The findings of the study suggest that policy makers should promote internationalisation of SMEs in Kenya to improve the doing business environment in general and remove external barriers to internationalisation of SMEs at the national and international level in particular.
RUREBUS-2020 SHARED TASK: RUSSIAN RELATION EXTRACTION FOR BUSINESS

In this paper, we present a shared task on core information extraction problems, named entity recognition and relation extraction. In contrast to popular shared tasks on related problems, we try to move away from strictly academic rigor and rather model a business case. As a source for textual data we choose the corpus of Russian strategic documents, which we annotated according to our own annotation scheme. To speed up the annotation process, we exploit various active learning techniques. In total we ended up with more than two hundred annotated documents. Thus we managed to create a high-quality data set in short time. The shared task consisted of three tracks, devoted to 1) named entity recognition, 2) relation extraction and 3) joint named entity recognition and relation extraction. We provided with the annotated texts as well as a set of unannotated texts, which could of been used in any way to improve solutions. In the paper we overview and compare solutions, submitted by the shared task participants. We release both raw and annotated corpora along with annotation guidelines, evaluation scripts and results at https://github.com/dialogue-evaluation/RuREBus.
Time-Varying Conditional Correlations and Volatilities of Stock Index Futures Returns

Utilizing the multivariate GARCH models, this paper analyzes the temporal dynamics of conditional volatilities and correlations across international index-futures markets. As the data of index futures provide a more efficiently informational measurement on the relationship among international stock indexes, the study using intraday returns to index futures not only directly investigates the comovement across index-futures markets, but also sheds light on the dynamic linkage among international stock indexes. The three index futures studied in this paper include the S&P500 index futures from the Chicago Merchantile Exchange (CME), Nikkei 225 index futures from the Osaka Securities Exchange (OSE), and FT-SE 100 index futures from the London International Financial Futures and Options Exchange (LIFFE). The empirical results imply that there exist time-varying conditional volatilities, as well as time-varying conditional correlations across index futures.
Prevalence of Rotaviruses in the Etiology of Acute Diarrhea in Young Children, Clinical forms, Extraintestinal Manifestations and Complications

Abstract Rotavirus is highly contagious factor with dominant feces-oral transmission. Because it is stable in external environment, transmission clusters are possible by close contact, ingestion of contaminated water or food or contact with contaminated surfaces. It survives within hours and days on hands and contaminated surfaces. This makes it the most common enteric and nosocomial pathogen in the world, especially in early childhood. In addition to the rapid dehydration with pronounced electrolyte disturbances, numerous extraintestinal possibilities have been recorded in the clinical picture, which emphasizes the need for prevention of this disease. In the period from 1.02. 2018 to 31.01. 2020 at the Clinic for Infectious diseases were treated 1060 patients with diarrheal disease, of which 502 children (47.36%). Rotavirus etiology was confirmed in 23.30% of the children. According to the protocols, laboratory and biochemical investigations were done to all 117 children, with tracking parameters and their dynamics of admission and discharge from the hospital. Most of the children, 84 (82.0 6%) are from urban areas, with a more confirmed epidemiological survey of 59 (42.00%). The average age of the children was 8 months, with a small percentage of children on maternal food (breastfed 25, i.e. 21.37%), with high febrile admission in 99% of children with an average temperature of 38.5oC and an average febrile duration of 4 days, with an average of 7 (+ 2.49) of stools and 5 (+ 2.12) of vomiting. There was a significant difference in hematocrit, leukocyte, electrolyte, glycaemia, and CRP values on admission and discharge. There was predominant isonatremic dehydration, and the compensatory mechanisms followed by the values of the electrolytes ABS, Ph, BE showed a tendency to maintain within the physiological limits. The clinical picture of extraintestinal manifestations included bronchitis, mesenteric lymphadenitis, upper respiratory infections and rash. Rotavirus infection is a serious health and economic problem in our country, so it needs continuous prevention and monitoring in order to reduce the incidence, and thus the need for hospitalization and cure of rotavirus disease.
Capacity Utilization, Inflation and Monetary Policy: Classicals, post-Keynesians and the New Keynesian Consensus

The paper looks at the adjustment process towards long run equilibrium within Marxian models, defined in terms of normal rates of capacity utilization. The model is reduced to three essential equations: an IS equation, a Phillips curve equation and an central bank reaction function. It is shown that long run convergence depends on the specific inflation (Phillips curve) equation, and on the central bank setting a zero inflationary target. When these conditions are relaxed, the results are shown to accord more closely with post-Keynesian results. The Marxian model is then contrasted with New Consensus models, which only varies in its inflation/Phillips curve equation. Post-Keynesian criticisms of both the IS and the Phillips curve equation are considered, and suggestions for a post-Keynesian alternative are made.
ENVIRONMENTAL EDUCATION AND ITS ROLE IN RESTORING NATIVE ECOSYSTEMS AT SAINT NARSAI

Increasingly, environmental educators are incorporating visits to natural areas into their environmental learning programs. Learning in natural environments is attractive to students and has an important impact on their attitudes towards the environment, their desire to look after the environment and their behaviour in natural areas which in turn influences their household environmental practices (Ballantyne and Packer, 2002). Combining observation with instruction is a powerful teaching strategy, allowing students to understand the impact of human action on wildlife and natural habitats. The recent construction of Saint Narsai Assyrian Christian College, located in Horsley Park, western Sydney has presented a unique opportunity to incorporate environmental sustainability into the curriculum. Situated on former agricultural land (and formerly Cumberland Plain Woodland), the school site features a stretch of Reedy Creek, a degraded waterway that drains much of the Horsley Park area. Approval for the College included re-instating Reedy Creek to mimic the natural creekline and re-establishing Cumberland Plain Woodland in long-term conservation areas on the site. As part of the conservation works, baseline data was recorded for water quality, insect diversity, fauna species (including frogs and aquatic fauna) and seeded/planted vegetation. This presents a unique opportunity for school students to be actively involved in experiments, and biodiversity and environmental monitoring of the restoration of the onsite conservation areas. By using the school grounds for sampling and population studies on the species present, possible trophic interactions and patterns of distribution of the plants and animals can be studied. Students will relate this to the short-term and long-term consequences on the ecosystem of species competing for resources and possible impacts of humans in the ecosystem. The implementation of the different aspects of environmental sustainability will result in the school having effective environmental education integrated into appropriate sections of the curriculum; ensuring students are active in maintaining and improving their surroundings.
Learning: A starting point for probabilistic models

Looking forward to be an introductory text to probabilistic models in Representation Learning , this work has two main related purposes. The ﬁrst one is to contribute with the undergraduate community of students that are looking for a ﬁrst contact with the theme, while the second is regarded to the intention of the author to approach this universe. For that, we bring here an expository work, followed sometimes of informal language, about topics that are, in many cases, strongly related with our main theme. Between these topics are some of the main problematics within the machine learning ﬁeld, what are Boltzmann machines and how they relate with the representation learning paradigm, the characterization of some standard probabilistic models, graphical models and how to deal with intractable distributions. By the end of the work we present some conclusion and motivations obtained during the process of writing.
Enhancing the life quality of elderly using Ambient Intelligent Technology (AmIT)

Ambient Intelligent technology (AmIT) is a new paradigm in information and communication technology ,ICT , aimed at empowering people’s capabilities by the means of digital environments that are sensitive, adaptive, and responsive to human needs, habits, gestures, and emotions.AmIT is a multidisciplinary field of research, it’s the convergence of electronic engineering, computer science, telecommunication, artificial intelligence and Social intelligence. Recently, AmIT has been an efficient tool for the healthcare, e-health and telemedicine. This technology enables the elderly people and people with disabilities to improve their quality of life. This paper discusses the role of AmIT in improving the life quality of elderly people. It presents a framework for enhancing the life quality of elderly using Ambient Intelligent Technology ( AmIT )