Miracle-dz/UniFAR-FTUs huggingface dataset:
Free Choice Feeding on the Quality of Quail Eggs (Coturnix coturnix-japonica)

Quail is one of the potential sources of animal protein from poultry as egg producers. An egg contains complete nutrients, namely protein, fat, vitamins, and minerals. As food, eggs must be maintained both physically and chemically to be safe for consumption. This study aimeds to examine the effect of selective feeding on the quality of quail eggs. This research was carried out at Percut Sei Tuan Subdistrict, Deli Serdang Regency, North Sumatra, which had been implemented from August to November in 2018. The study used a completely randomized design with 4 treatments and 5 plots. The study used egg samples from quail aged five (5) months. The treatment consists of Commercial feed (T0), 2 energy source feed (rice bran, corn) with 2 (T1), 3 (T2), 4 (T3) protein source feeds (fish meal, soybean meal, coconut meal, Poultry Meat Meal). The results showed that the treatment gave a significant effect (P<0.05) on egg weight, albumen, and eggshell weight, commercial feed showed eggs weight higher than free choice feeding treatments, while among free choice feeding treatment did not show significant effect. The free choice feeding treatment has a significant effect on the yolk weight, where T2 has the lowest yield. Percentage of yolk, albumen, quail eggshell and egg index, egg yolk index, albumen index, haugh unit and quail yolk color did not show significantly different (P>0.05) among treatment. It can be concluded that the commercial feed showed higher egg weight but had no significant effect (P>0.05) on the proportion of eggs and the interior quality of quail eggs, while among free choicee feeding treatment has no effect.
Does Smoking Status Influence Health-Related Quality of Life Outcome Measures in Patients Undergoing ACDF?

Study design: Retrospective comparative study. Objective: Whereas smoking has been shown to affect the fusion rates for patients undergoing an anterior cervical discectomy and fusion (ACDF), the relationship between smoking and health-related quality of life outcome measurements after an ACDF is less clear. The purpose of this study was to evaluate whether smoking negatively affects patient outcomes after an ACDF for cervical degenerative pathology. Methods: Patients with tumor, trauma, infection, and previous cervical spine surgery and those with less than a year of follow-up were excluded. Smoking status was assessed by self-reported smoking history. Patient outcomes, including Neck Disability Index, Short Form 12 Mental Component Score, Short Form 12 Physical Component Score (PCS-12), Visual Analogue Scale (VAS) arm pain, VAS neck pain, and pseudarthrosis rates were evaluated. Outcomes were compared between smoking groups using multiple linear and logistic regression, controlling for age, sex, and body mass index (BMI), among other factors. A P value <. 05 was considered significant. Results: A total of 264 patients were included, with a mean follow-up of 19.8 months, age of 53.1 years, and BMI of 29.6 kg/m2. There were 43 current, 69 former, and 152 nonsmokers in the cohort. At baseline, nonsmokers had higher PCS-12 scores than current smokers (P = .010), lower VAS neck pain than current (P = .035) and former (P = .014) smokers, as well as lower VAS arm pain than former smokers (P = .006). Postoperatively, nonsmokers had higher PCS-12 scores than both current (P = .030) and former smokers (P = .035). Smoking status was not a significant predictor of change in patient outcome in multivariate analysis. Conclusions: Whereas nonsmokers had higher function and lower pain than former or current smokers preoperatively, smoking status overall was not found to be an independent predictor of outcome scores after ACDF. This supports the notion that smoking status alone should not deter patients from undergoing ACDF for cervical degenerative pathology.
Research on the Overall Framework of the Integrated Power System Fuel Economy Optimization Scheduling Strategy

Due to the differences in research objects, operational requirements and control methods, the fuel economy strategies of land-based power systems and traditional marine power systems cannot be directly applied to integrated power systems. Aiming at the energy optimization and regulation requirements of the integrated power system, a fuel economy optimization scheduling strategy model was established. By analyzing the operational requirements of the system under normal and abnormal conditions, the overall framework of the fuel economy optimization scheduling strategy for the integrated power system was established. The generator excitation adopts the master-slave control mode, which realizes the optimal dispatch of the generator output under the overall frame operation demand. Finally, the simulation test verifies the effectiveness of the proposed method.
The merger of natural intelligence with artificial intelligence, with a focus on Neuralink company

Human development is connected with permanent action to be better, to overcome nature, to build something that has so far been able to occur without its participation. The emergence of concepts such as artificial infertification, artificial blood, artificial organs, artificial eye retina, artificial brain or artificial intelligence suggests the desire to take control of man, the control which has so far been attributed to nature, To God the Creator, fate or chance. The dynamic development of science, modern tools and research methods make the thought of artificial intelligence becoming more and more real. In recent years, artificial intelligence (AI) is increasingly being used by business people. Its development involves numerous groups of high-class specialists, using the most modern IT tools. Before the creation of the first "intelligent" machines, its idea lasted in the imagination of many people. The films and books of science fiction presented the future in which man was replaced by a machine, and the phenomenon of this reality were robots. Today, for the modern man, it is not a surprise robot, or a "smart" computer program. Thanks to the rapid development of electronics and computer science, we are able to create what was once only a topic of science fiction. AI is currently being used in various fields of science, such as medicine, economics and management. But it is also worth remembering that these processes are accompanied by numerous questions and doubts related to the ethics of its use. The aim of the articles is to inspire the discourse on the example of Neuralink – the search for answers to emerging doubts.
Optimization-Based Decentralized Coded Caching for Files and Caches With Arbitrary Sizes

Existing decentralized coded caching solutions cannot guarantee small loads in the general scenario with arbitrary file sizes and cache sizes. In this paper, we propose an optimization framework for decentralized coded caching in the general scenario to minimize the worst-case load and average load (under an arbitrary file popularity), respectively. Specifically, we first propose a class of decentralized coded caching schemes for the general scenario, which are specified by a general caching parameter and include several known schemes as special cases. Then, we optimize the caching parameter to minimize the worst-case load and average load, respectively. Each of the two optimization problems is a challenging nonconvex problem with a nondifferentiable objective function. For each optimization problem, we develop an iterative algorithm to obtain a stationary point using techniques for solving Complementary Geometric Programming (GP). We also obtain a low-complexity approximate solution by solving an approximate problem with a differentiable objective function which is an upper bound on the original nondifferentiable one, and characterize the performance loss caused by the approximation. Finally, we present two information-theoretic converse bounds on the worst-case load and average load (under an arbitrary file popularity) in the general scenario, respectively. To the best of our knowledge, this is the first work that provides optimization-based decentralized coded caching schemes and information-theoretic converse bounds for the general scenario.
On Ontology-Based Tourist Knowledge Representation and Recommendation

In the rapid development of the information technology age, many travelers search for travel articles through the Internet. These travel articles include the experience and knowledge of traveler, which can be used as a reference for tourism planning and attraction selection. At present, the most travel experience and knowledge is available in online travel reviews (OTR). OTR and eWOM (electronic word-of-mouth) contain a lot of knowledge of consumers and travelers. Many travelers often look for OTR content through virtual communities, blogs, and search engine, but the search results often cause information overload problems. In addition, through virtual communities, blogs, and search engines, an OTR search still requires using keywords. However, most travelers cannot know the name of the attraction; therefore, travelers cannot use the correct keywords to search. That causes travelers to be unable to get enough information from OTR and unable to make the best travel plan. Therefore, this study focuses on the ontology-based tourist knowledge representation and recommendation method. And the study is to search for popular attractions from the OTR content and construct a tourist knowledge structure for these travelers. When the tourists do not need to know the keywords of the popular attraction name, they just need to get their current location; and then ORT content will recommend the next attraction to the traveler, which helps the traveler make the correct travel decision. The evaluation result showed that the method proposed in this study can help the travelers to quickly make the travel decision and is better than the traditional searching methods.
Trusted systems of records based on Blockchain technology ‐ a prototype for mileage storing in the automotive industry

Blockchain technology has the potential to bring transparency and trust to a multitude of use cases. Our research demonstrates that the technology can reduce asymmetric information in markets by bridging trust gaps. The combination of blockchain and Internet of Things technology that automatically collects sensor data, provides a feasible, decentralized technological solution for such an inefficient “Market of Lemons” coined by nobel laureate Georg Akerlof. In this paper, we develop a system prototype to reduce mileage fraud on the used car markets. Our work demonstrates the feasibility of a trusted system of records for (vehicle) data such as mileage data using a distributed database based on the public Ethereum network and smart contracts. We have identified eight requirements that are fulfilled by the prototype and the functional logic and design of thesolution can be reproduced to any other application area characterized by a lack of trust between actors or by the absence of a trusted central authority. However, the developed prototype suffers from similar limitations and challenges as the technology itself. Low throughput causes limitations in scalability and transaction costs are unpredictable. Further development of the blockchain technology and considering more cost‐efficient consensus mechanisms will address these issues.
Analysising the influence factors of single task pricing based on public packet system: An Empirical Study in China

This study takes single task pricing as an example, analyzes the key factors of task pricing and constructs an index model of single task pricing through the data of 835 task cases. Through the empirical analysis of the new pricing model, we draw the conclusion: the new pricing model reduces the cost of the task and increases the completion rate. It has a certain guiding significance for the development and management of the public crowdsourcing platforms.
Effects of intrinsic motivation on organizational citizenship behaviors of hospitality employees: The mediating roles of reciprocity and organizational commitment

Abstract The current study examines the essential role of motivation in workplace settings and the interrelationships among, reciprocity, organizational commitment, and organizational citizenship behavior (OCB). Based on a comprehensive literature review, this study formulates and tests a hypothesized model attempting to understand the interrelationships among three dimensions of motivation (i.e., need for achievement, need for power, and need for affiliation), reciprocity, three dimensions of organizational commitment (i.e., continuous, affective, and normative), and four types of OCB. With data collected from hospitality employees, this research found three intrinsic motivations are critical for nurturing reciprocity which then enhances three aspects of organizational commitment.
Effects of preconditioning with intermittent normobaric hyperoxia on TNFR1 and TNFR2 expression in the rat brain

Currently, stroke is the fourth leading cause of death in the United States and a leading cause of disability (Ovbiagele et al., 2013). Ischemic preconditioning (IPC) is an endogenous phenomenon that whereby concise periods of ischemia, causes a tissue more resistant to subsequent sustained loss of blood flow and can cause ischemic tolerance (IT) in organs such as the brain and heart (Kitagawa et al., 1990). IT involved in the adjustment mechanism such as the Abstract Introduction: Recent studies have shown that intermittent normobaric hyperoxia (HO) protects the rat brain from ischemia reperfusion injury. However, the exact mechanism of this kind of protection in vivo is not known. In this study, the effect of HO on expression of TNFR1 and TNFR2 in a stroke model was investigated.
Development and Application of Computational Approaches in Drug Discovery

Author(s): Zanette, Camila | Advisor(s): Mobley, David L. | Abstract: The early stages of drug discovery is a long and costly process. A way to reduce the time, resources, and financial investment spent is to apply computational tools. With the tremendous progress and achievements in computational chemistry, the application of computational tools in the drug lead discovery and design has increased. Today, computational chemistry is considered a highly valuable and well established tool in drug discovery. A variety of computational chemistry methods are used for guiding molecular design and finding new potential drugs and targets. Some examples of these methods are molecular dynamics simulations, free energy calculations, virtual screening, structure-activity relationship analysis, and so on. Despite the fact that computational chemistry technics are widely used in industry and academic environment, there is still room for improvement. Here, I present several studies in which I developed and applied computational chemistry tools in drug discovery problems. The first study is the development of a tool as part of the Open Force Field consortium to learn chemical perception of force fields typing rules. Secondly, I describe my work on using a new hybrid method to calculate free energies of small molecules. Thirdly, I present a binding mode prediction study to help the understanding of structure-activity relationship in lissoclimides. Lastly, I present a study applying molecular dynamic simulation to guide the redesigning of a macrocyclic peptide.
Conference attendees' satisfaction: Evidence from Belgrade (Serbia)

Conference industry brings significant economic effects and that is one of the reasons why many destinations around the world strive to organize conferences, especially the international ones, which make bigger economic effects. According to the Strategy of tourism development of the Republic of Serbia (2005-2015), city break and business tourism are tourism products of high priority, which can provide short-term positioning of Novi Sad and Belgrade, at the first place, at the international tourism market, and contribute to the growth of tourism turnover of foreign travellers. Belgrade is the capital and the largest city in Serbia. It is very well equipped with necessary infrastructure for organizing business events such as conferences, congresses, meetings etc. Lately, the number of international business events in Serbia is increasing and the majority of those events are organized in Belgrade. However, there are very few surveys which are examining satisfaction of the conference attendees in Serbia. This topic is often ignored despite the fact that the attendees satisfaction is substantial for organizers and all other relevant stakeholders at host destination. Therefore, the aim of this paper is to analyze the satisfaction of the conference attendees, as they are final consumers of conference tourist product and their experience regarding both conference and host destination is thus essential to destination marketing and management organizations, conference centres, hotel managers, meeting planners and all other stakeholders involved in conference industry and tourism.
27 The Effect of Blood Pressure Variability on Time to First Coronary Artery Disease Onset

Background: Blood pressure variability (BPV) was considered as a random fluctuation of someone's BP. The results of BPV studies were contradicting, including the association between BPV and CAD risk. This study aims to know the association between BPV and CAD. Method: In this cross-sectional study, all medical records of hypertensive patients in our institution from 2010 until 2015 who routinely taken follow up visits were collected, then the BPV using standard deviation (SD) and average reading variability (AVR) of these patients in each follow up visit were calculated. AVR is defined as an average of absolute differences consecutive readings. The time to first CAD diagnosis or event after being diagnosed with hypertension in months was calculated. Diagnosis of CAD were based on positive (>50% stenosis) coronary CTA, catheterization, or ACS. Result: There were 134 subjects who met the inclusion criteria, 52.3% were male. The subjects were 33–91 years old (mean 58.8 ± 12.9) and 31% were elderly (65 years old or more). Twelve out of 134 subjects (9%) with hypertension had CAD (mean 39.58 ± 41.60 months). The BPV data included systolic SD (mean 15.36 ± 4.85 mmHg), diastolic SD (mean 8.39 ± 3.49), systolic AVR (mean 14.45 ± 5.08 mmHg), and diastolic AVR (mean 7.63 ± 3.75 mmHg). Bivariate analysis using Pearson's test showed statistically significant correlation between systolic SD (p < 0.01, r −0.74) & systolic AVR (p < 0.05, r −0.69) and CAD. Conclusion: This study found 9% of hypertensive subjects developed CAD in about 40 months. The higher SD & AVR of systolic BPV are, the shorter time to first CAD diagnosis or event in people with hypertension.
Development of national logistics in support of the Serbian Air Force: Long-term prospects

Introduction/purpose: The Air Force accomplishes its tasks in the airspace where it must use special equipment and weapons which makes it extremely technically demanding. This reliance on technique speaks of the importance of logistics in the Air Force. Support to the Air Force of the Serbian Armed Forces is provided by national logistics through, among other things, various branches and parts of industry such as military industry part of industry that deals with the production and trade of weapons and military equipment. Methods:The methods applied in the paper are the analysis of the tendencies of development of modern aviation assets and military industries in the world as well as the synthesis considering the state of national logistics today and its possibilities of supporting the Serbian Air Force through its basic sources. Results: Basic sources and possible prospects for further development of national logistics are considered, with the focus on the modernization of aircraft and other assets, military personnel training and improvement of their standard of living as well as on the cooperative development of joint projects with foreign partners. Conclusion: It is important to be directed towards creating the conditions for long-term prospects of the development of national logistics in support of the Serbian Air Force.
Clustering Analysis for Internet of Spectrum Devices: Real-World Data Analytics and Applications

Internet of Spectrum Devices (IoSD) has been proposed as a bridging network among various spectrum-monitoring devices and massive spectrum-utilizing devices to enable a highly efficient spectrum sharing and management paradigm for future wireless networks. Spectrum data analytics is one of the key enabling techniques in IoSD. Correlations between spectrum state evolutions of different frequency points measured by an IoSD have been exploited to realize joint time–frequency spectrum prediction for improving the prediction accuracy. However, this kind of interrelationship has not been utilized efficiently to enhance the positive influences or avoid the negative influences when inferring the spectrum state. To fill the above gap, characteristics of spectrum state evolutions in the frequency domain are first modeled as multidimensional feature vectors in this article. Then, extensive clustering analyzes based on bisecting the $K$ -means clustering and the agglomerative hierarchical clustering are conducted on spectrum state evolutions with multidimensional feature vectors. Real-world experiments demonstrate that the proposed multidimensional features can represent the characteristics of spectrum state evolutions in a more comprehensive way. Furthermore, clustering with the proposed vectors is integrated to the joint time–frequency spectrum inference problem to form the clustering-based joint spectral–temporal-spectrum-prediction (C-JSTSP) scheme. Experiments verify that the proposed C-JSTSP scheme can improve the inference performance on both the inference accuracy and the runtime overhead.
A medicine composition for treating bronchial asthma and preparative method thereof

The present invention provides a Chinese medicine (中 醫藥) composition and a manufacturing method for the treatment of bronchial asthma. The Traditional Chinese Medicine composition is prepared from a plant material in order to drugs including ephedra, bags, Morus golden row, contrary, the elements, such as gwandonghwa. The Traditional Chinese Medicine composition is effective in the treatment of bronchial asthma.
Pathways to Careers in Health Care

This chapter focuses on low-income workers and their job-seeking efforts in health professions during an economic downturn, when the health care sector experienced labor shortages or was in high demand for quality workers. Prior research on workforce development has been overly outcome driven and has given relatively less attention to the process of building psychological strength as one reaches the economic self-sufficiency (ESS) outcome (Harvey, P. Hong, and Kwaza 2010; P. Hong 2013). Little is known about what psychological prerequisites are needed to achieve desired economic outcomes when life risks and resilience counterbalance the path to success. To fill this gap in the literature and in the mainstream workforce development practice, we partnered with two Health Profession Oppor tunity Grants (HPOG) grantees—Gateway Technical College in Keno -sha, Wisconsin, and Southland Health Care Forum in Chicago Heights, Illinois—to generate evidence on low-income students’ empowerment and transformative career pathways to becoming health professionals.