Miracle-dz/UniFAR-FTUs huggingface dataset:
Autologous platelet-rich plasma application for the optimization of bone tissue reparative regeneration in osteopenia

Висновки. На основі відомостей фахової літератури показано високий потенціал терапії збагаченою тромбоцитами плазмою для регенерації кісткової тканини. Досі не виконали належних клінічних досліджень щодо ефективності терапії збагаченою тромбоцитами плазмою, які відповідали б усім сучасним критеріям. Терапія збагаченою тромбоцитами плазмою є перспективною галуззю в медицині та потребує наступних досліджень як новий ефективний і безпечний метод у лікарські практиці.
CONSUMER PREFERENCES FOR HOTEL BRAND AND BRAND SUSTAINABILITY: LUXURY HOTELS IN KUALA LUMPUR, MALAYSIA

The economic prominence of the Tourism industry is very huge which cannot be underestimated. Travel & Tourism is set for a milestone year as the industry’s contribution to the worldwide economy during the year 2016 exceeded $7.2 trillion to world GDP, representing 9.8% of global GDP and created 284 million jobs. Tourism in Malaysia has grown from RM 32 billion in 2005 to RM 69 billion in 2015 with 16.4 million arrivals in 2005 to 25.7 million arrivals in 2015, placing Malaysia currently at 12 position in international tourist arrivals. Current research has focused on branding process of luxury international brand hotels and to find out actual influencing factors which create issues regarding brand loyalty for local hotels. Data was collected from six (6) luxury Five-star hotels in Kuala Lumpur, Malaysia by using purposive sampling technique. In total 117 responses were collected from customers by using closed-ended survey instrument and 13 face-to-face interviews were conducted with hoteliers to capture the industrial perspective. SPSS version 23 was used to analyse the data. The findings suggest that brand marketing and brand awareness of the luxury hotels in Kuala Lumpur will effectively contribute to enhancing the brand sustainability of these hotels. Furthermore, the study shows that guest negative experiences will weaken the brand equity of these hotels.
Investigation of the association between metabolic syndrome and breast cancer patients

One of the most serious cancers among women is breast cancer. This disease is the first reason for the death of women due to cancer. Increasing breast cancer risk may associate with many factors including genetic, reproductive factors, people's lifestyle, metabolic syndrome (MS) and hormones. MS has been known as a risk factor for prostate, pancreatic, breast and colorectal cancers. The purpose of this review is to identify the relationship between MS components and breast cancer individually. This study was performed by researching electronic database references including PubMed, Google Scholar, CINAHL ProQuest, and web of science through 2019. The effect of MS with its components and breast cancer was reported in many studies. Nevertheless, a thorough understanding of the mechanisms involved remains a challenge. However, one can take several preventive measures, including a proper diet, which is one of the most important determinants of metabolic status. Also, general preventive recommendations are including reducing alcohol consumption, red meat and total fat in the diet. Moreover, increasing the consumption of vegetable and fruit reduce the proportion of MS patients to improve the outcome of breast cancer patients.
The Psychometric Properties of the Inventory of Character Strengths (ICS): An Indigenously Developed Measure in Urdu

The purpose of this paper is to report the initial findings (item analysis & factorial structure) of a study intended to develop an indigenous measure, the Inventory of Character Strengths (ICS) in the Urdu language. A sample of 485 adults from different towns of Karachi, Pakistan, aged from 18-62 years (M=32.71; SD=8.80) were recruited and their responses on a 62 statements item pool were subjected to statistical analysis for item refinement, and then finally, 47 retained item scale was factor analyzed, using Varimax rotation. Items demonstrated good indices of internal consistency (r=.91, p<0.01) and item-total correlations were also within satisfactory range r=. 30- r=. 54 (p<0.01). Exploratory Factor Analysis resulted in a five-factor solution described as Temperance and humility, Self-regulation, Social facilitation and positivism, Honesty and perseverance, and Inquisitiveness and collaboration. The analysis established culture relevant domains of Character Strengths specific to Pakistani culture.
Future Forest Space: the philosophy of becoming in site-specific generative sound installation

This thesis examines my site-specific generative sound installation and musical composition, Future Forest Space, through Deleuze’s philosophy of becoming, and proposes a dynamic ontological perspective on generative music, sound and interdisciplinary art. Future Forest Space was an interdisciplinary public artwork created for the Radio Forest pavilion in the Klankenbos forest in Neerpelt, Belgium, in 2017. Its objective was to develop a new musical aesthetic and function by transforming sounds from the forest into an abstract musical environment that would correspond to and elevate its architectural, environmental and social surroundings; the idea was to create a “space of the future” – a conceptual as well as an actual space between architecture, music and environment that would invite visitors to engage in the idea of long-term thinking while providing a contemplative environment for everyday activities. The thesis considers the practical realisation of the installation and provides an ontological analysis of the empirical processes behind the work; the focus is on the complexity, indeterminacy and ambiguity of these processes. Brief overviews of generative music, site-specific art, sound installation and the history of becoming are provided as an introduction. The three key elements of the installation – sound, generative composition and site-specificity (architecture and environment) – are examined using both a system theoretic approach to the ontology of becoming and Deleuze’s original concept of it; other major concepts of Deleuze’s ontology – difference, virtuality, multiplicity, assemblage and deterritorialization – are applied similarly. The practical work is examined in regard to its aesthetic and technical actualisations. The emergence of complex, liminal and ambiguous conditions and processes within such an interdisciplinary, heterogeneous and generative work presents novel and dynamic creative potential, which is, however, often left unaddressed when discussing sound’s relation to space and environment or the function of music in general; it is also difficult to address (for further applications) without reducing it into idealised representations of art and science, the paradigms of which continue to be largely based on static transcendent ontologies (e.g. those of Aristotle and Hegel). To understand this emergence and explore its potential from a similarly dynamic and creative paradigm, the philosophy of becoming offers a system that is capable of presenting actual ongoing existence; it provides an ontological ground based on change, heterogeneity and the inexhaustible novelty-producing process that underlies all phenomena, capturing the fundamental aspects of complexity and complex systems through its conceptual tools.
Combining Lexicon and Machine Learning Method to Enhance the Accuracy of Sentiment Analysis on Big Data

: During the day-to-day life, our opinions and opinions of others toward a product or event play a vital role in the decision-making process. In recent times, the outburst of social media over the web has an abundant impact on an individual’s and the organization’s decision-making process about certain content. Twitter which is a leading micro blogging website allows the people to post their opinions, state of mind, or status toward products or any events such as politics and sports. As more number of people lively connected to the twitter, more data are generated by the people which lead to the big data. Sentiment analysis performs an essential role to extract the content of the tweets. This research work consists of two components: a lexicon builder and a sentiment classifier. In addition the contextual valence shifter was used to evaluate the context sentiments and to solve the context-dependent problem. The combination of these two components will produce better accuracy.
Accurate Ratio Computation using Abstract Chemical Reaction Networks

—We present new results on how abstract chemical reactions, viz., catalysis, annihilation and degradation, can be used to implement circuits that accurately compute ratio of two input signals. The input signals can be either constant-valued scalars or time-varying scalars or polynomials. We also characterise the robustness of our circuits to parameter variations, as would be encountered in wet-lab implementations.
Sustainability and Economic Performance: Role of Organizational Learning and Innovation

The purpose of the current study is to examine the mediating role of organizational learning on a firm’s capabilities, corporate governance, leadership styles, and the firm’s sustainability. Moreover, the innovative culture used as a moderating variable between organizational learning and the firm’s sustainability. Data were collected from manufacturing organizations operating in Malaysia. This study used simple random sampling technique in data collection. Cross-sectional design and correlational design were used in meeting the objectives of the research. There were 550 questionnaires distributed among respondents,and only 382 questionnaires were returned back, 15 questionnaires were excluded from the 382 questionnaires because of misleading and missing values. Hence, in the final analysis, only 367 questionnaires were used. Findings reveal that organizational capabilities and corporate governance significantly enhance both organizational learning and a firm’s sustainability. Moreover, leadership styles significantly enhance organizational learning but have no influence on a firm’s sustainability. Organizational learning significantly mediates between organizational capabilities, corporate governance, leadership styles, and the firm’s sustainability. Organizational learning also has a significant influence on the firm’s sustainability. Finally, innovative culture significantly moderates between organizational learning and the firm’s sustainability. The practical contribution of this research is that the top management can focus on these indicators in measuring firm’s sustainability.
Discussion Summarization Based on Hierarchical Structure Using Verbal and Non-Verbal Information

—The aim of the study is to analyze the semantic relationships among utterances in a meeting at a deep level. To achieve the aim, we propose a novel tree structure, called discussion time-span tree, for representing a discussion structure based on the relative importance of utterances contained which are derived from the meaning of a meeting. A discussion time-span tree is a binary tree, each leaf of which corresponds to a utterance; it has the following characteristics: adjacent relevant utterances are hierarchically grouped, and a more important utterance becomes a head. Thus, a discussion time-span tree represents implicit meaning and intention contained in meeting records, and can be used for summarization. In the study, we propose a method and rules to generate a discussion time-span tree based on verbal and non-verbal information. In the evaluation on important utterance extraction using the proposed system, it was shown that the score of ROUGE-2 was higher than that of the existing document summarizing technique. Moreover, in the evaluation by subjects conducted by 10 subjects, we showed that the system can grasp conference contents efﬁciently, and demonstrated the usefulness of the system.
Estimation of Parameters of a Snow Cover on a Ground Surface without a Relief and with Relief by the Radar Interferometry Method

The remote sensing of snow cover is studied using radar interferometry. An approximate model of interferometric sounding based on the small perturbation method is proposed. The contribution of the scattering from the snow surface to the amplitude and interferometric phase was estimated. The analysis of the effect of the relief on the assessment of snow cover parameters was performed. The results of numerical estimates are given.
Collaborative Governance in Policy Advocacy of Exclusive Breastfeeding Practice in Semarang City

Reducing infant and under-five mortality by 2030 is one of the goals of sustainable development. One way to achieve the aforementioned goal is to intensify the practice of exclusive breastfeeding. In Indonesia, it was recorded that in 2017 the exclusive breastfeeding had only reached 61.33%, while in Semarang, the city had reached only 67.33%. The factor that influences the lack of awareness in exclusive breastfeeding is low selfefficacy among mothers. Using descriptive qualitative methods through in-depth interviews and documentation studies, this study aims to form a collaborative governance model in exclusive breastfeeding policy practices in Semarang City. Collaborative Governance in advocating exclusive breastfeeding policy is particularly crucial because not only the government is incapable to overcome these difficulties themselves, but also the complexity of working mothers continues to increase. Collaboration involves academicians, NGOs/Civil Society, Government, and Media. The Collaborative Governance model is built on the types of stakeholders in penta-helix chart. This model is presumed to be able to enhance self-efficacy in exclusive breastfeeding based on the actors role and interests.
NUMERICAL SIMULATION ON REAR SPOILER ANGLE OF MINI MPV CAR FOR CONDUCTING STABILITY AND SAFETY

Spoiler attached on the rear part of a car can generate drag force and negative lift force, called downforce. This drag force can increase air resistance to the car, meanwhile, a negative lift force can improve the car’s stability and safety. Refer to many researchers, the shape and the angle of the spoiler give different aerodynamic effects and therefore give a different value of drag force and lift force. Based on these facts, this study was focused on the analysis of different spoiler angle attached to a mini MPV car to drag and lift force generated by the spoiler. The method used in this study is a numerical simulation using the Computational Fluid Dynamics (CFD) technique. The analysis was carried out at different spoiler angle and car’s speed. The spoiler angles are -20 o , -10 o , 0 o , 10 o , and 20 o . The car’s speeds are 40 km/h, 60 km/h, 80 km/h, 100 km/h, and 120 km/h. Then the drag and lift force and their coefficient generated by different spoiler angles were being investigated at specified speeds. The result shows that higher spoiler angles generate higher drag and lower lift. Spoiler angles higher than 0 o generate negative lift force, otherwise generate positive lift force. Therefore, to increase a car’s stability and safety, it is recommended to use a spoiler angle higher than 0 o . Based on the result, it is best to use spoiler angle 10 o because it generates negative lift force with -0.05 lift coefficient and 0,68 drag coefficient.
TEMPORAL AND SPATIAL CHANGES OF DROUGHT IN BEIJING-TIANJIN-HEBEI REGION BASED ON REMOTE SENSING TECHNOLOGY

Abstract. Drought is an extremely complex natural disaster phenomenon. Sustained drought will lead to the aggravation of water shortage, food production reduction, land desertification and ecological crisis, which will have a great impact on social and economic development, industrial and agricultural production and ecological environment. In recent years, human activities have intensified, the global climate has been warming, and the frequency and intensity of extreme events such as drought have been continuously strengthened, which has been widely concerned by scholars at home and abroad. The Beijing-Tianjin-Hebei region, as the political and cultural center of China, is seriously affected by the drought, which has a certain impact on the social economy of the region. Therefore, it is of great practical significance to carry out remote sensing drought monitoring and understand the temporal and spatial characteristics of drought. Based on MOD13A2 and MOD11A2 in MODIS products, this paper constructed the NDVI-Ts feature space to obtain the Temperature Vegetation Dryness Index (TVDI) in Beijing-Tianjin-Hebei region, and analyzed the spatial and temporal variation characteristics of drought in Beijing-Tianjin-Hebei region from 2001 to 2014 with TVDI as the drought index. The results showed that: (1) the NDVI-Ts feature space in the Beijing-Tianjin-Hebei region showed that when the value of NDVI rose from 0 to 1, the maximum temperature of the surface gradually decreased, while the minimum temperature gradually rose. Both of them had a linear relationship with NDVI, and their spatial shape was similar to a triangle, indicating that the study of drought in Beijing-Tianjin-Hebei was effective by using this spatial feature; (2) the Beijing-Tianjin-Hebei region experienced drought every year in the period of 2001–2014, and the drought was more serious in 2001, 2004, 2008, 2009, 2011 and 2012; (3) The drought in the Beijing-Tianjin-Hebei region was widespread, and the severely arid regions were mainly concentrated in the southern and central regions. In terms of drought intensity, the most frequent occurrences in the period of 2001–2014 were Xingtai, Hengshui, Shijiazhuang, and Handan, and the annual drought in 14 years; the least number of occurrences was Chengde, a total of 4 times; the number of occurrences was second only to Chengde, Tangshan, Zhangjiakou, Qinhuangdao, a total of 7 times. Our results indicated that the Beijing-Tianjin-Hebei region was prone to drought and the drought degree was severe.
An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints

In this paper, we study the problem of selecting a subset from a ground set to maximize a monotone objective function f such that a monotone cost function c is bounded by an upper limit. State-of-the-art algorithms include the generalized greedy algorithm and POMC. The former is an efficient fixed time algorithm, but the performance is limited by the greedy nature. The latter is an anytime algorithm that can find better subsets using more time, but without any polynomial-time approximation guarantee. In this paper, we propose a new anytime algorithm EAMC, which employs a simple evolutionary algorithm to optimize a surrogate objective integrating f and c. We prove that EAMC achieves the best known approximation guarantee in polynomial expected running time. Experimental results on the applications of maximum coverage, influence maximization and sensor placement show the excellent performance of EAMC.
Examples of focused model comparison: parametric survival models

This vignette illustrates focused model comparison with the fic package for parametric survival models fitted with the flexsurv and survival packages. A challenge of this situation is that the same model can be parameterised in multiple ways. For focused model comparison, the parameters need to be defined consistently between the models being compared. This might require a different parameterisation to be used when fitting a model or defining the focus function.
TWO PORTS VERSUS FOUR PORTS LAPAROSCOPIC CHOLECYSTECTOMY (THE USE OF STRATEGIC EXTRACORPOREAL STITCHES)

Four ports laparoscopic cholecystectomy (LC) has been the standard for treatment of the symptomatic cholelithiasis. Herein, the experience of two-ports LC regarding its safety and feasibility was given. This study was conducted in Theodor Bilharz Research Institute (TBRI) in the period from November 2017 till April 2018, as a prospective randomized study including one hundred patients with chronic calcular cholecystitis, which were divided into two equal groups. The study compared between group A (GA) which underwent four ports LC and group B (GB) which underwent two ports LC.The results showed that in GA, no cases were converted to open cholecystectomy. But, in GB only two patients converted to three-port laparoscopic cholecystectomy. There were no intraoperative complications encountered in any patient in both groups. In GA, operative time ranged between 28-62 minutes (mean±44.57) while in GB, operative time ranged between 39-134 minutes (mean±59.93); with hospital stay of three days in both groups. The pain score showed statistically significant differences regarding port-site pain (P value = 0.040). Significant lower analgesic demands were recorded in the 2 ports group. Scar satisfaction showed a marked statistically significant differences regarding the aesthetic results between the two groups (P value = 0.0319).
The Effect of the Combination of Glucose Concentration with the Type of Extenders on the Quality of Native Rooster Spermatozoa during Storage

This study aimed to find the best combination of glucose concentration with the type of extender to maintain progressive motility and viability of Native Rooster spermatozoa, which stored for 48 hours at 5 o C. This study used a completely randomized design (CRD) factorial pattern of 4 x 3 . The first treatment was a different type of extender: LE (lactated ringer egg yolk), LS (lactated ringer skim milk), CE (coconut water egg yolk) and CS (coconut water skim milk), while second treatment was glucose concentration (20mM, 50mM, and 80mM). Native Rooster semen diluted with a ratio of 1:10, then sperm was stored in the refrigerator (5 o C). Progressive motility and viability were observed at 0, 24, 48, and 72 hours. The results showed the type of extender treatment had a very significant effect (P <0.01) on the viability of spermatozoa, which were stored 24-hour. The treatment of extender type, glucose concentration, and interaction of extender type with glucose concentration had a very significant effect (P <0.01) on the quality of spermatozoa, which were stored 48 hours and 72 hours. The highest progressive motility of spermatozoa was maintained up to 46.67 ± 2.89% and spermatozoa viability up to 74.68 ± 4.51% in WE 80mM glucose extenders, so the conclusion of this study is the combination of egg yolk coconut water with 80mM glucose is the best extender to maintain progressive motility and viability of spermatozoa of Native Rooster which is stored for 72 hours at 5 o C .