Miracle-dz/UniFAR-FTUs huggingface dataset:
A review on graph search algorithms for optimal energy efficient path planning for an unmanned air vehicle

Unmanned Air Vehicle (UAV) has attracted attention in recent years in conducting missions for longer time with higher levels of autonomy. For the enhanced autonomous characteristic of UAV, path planning is one of the crucial issues. Current researches on the graph search algorithms under combinatorial method are mainly reviewed in this paper by keeping focus on the comprehensive surveys of its properties for path planning. The outcome is a pen picture of their assumptions and drawbacks.
Biophysical properties and volumetric changes in breast meat of broilers and yellow-feathered chicken as affected by cooking process

ABSTRACT Cooking meat at different temperatures resulted in loss of fluids and alterations in its textures. This work signifies the effect of different cooking temperatures on the volumetric changes and biophysical properties of breast meat blocks obtained from broilers and yellow-feather chicken (YFC). Shrinkage in the length and volume of meat blocks of broilers were higher, whereas YFC showed an increase in cross-sectional area. At each cooking temperature (60°C, 70°C, 80°C, 90°C, and 100°C), mostly there were significant differences (p< .05) in volumetric changes found between the meat block of both breeds. Results from the biophysical properties indicated that the cooking of broilers meat below 80°C increases its hardness, the opposite was observed for YFC. Cooking at 100°C produced more hardness in YFC meat than broilers (34.15 N vs 26.80 N) (p< .05). Moreover, cooking at higher temperature produced early gel properties in broilers than YFC meat. SDS-PAGE results revealed a similar trend for both breeds except cooking at 100°C where broilers have more band intensities than YFC. LF-NMR (low-field nuclear magnetic resonance) and MRI (magnetic resonance imaging) data suggested that after cooking at each temperature YFC reserved more water than broilers. Physical meat quality traits have correlations with volumetric changes and cooking temperatures. Cooking of YFC meat at 90°C and 100°C has demonstrated similar correlation patterns with physical quality traits. Overall, cooking at 100°C caused more undesirable changes in YFC than broilers meat blocks. Therefore, it is suggested that cooking at 90°C could be a better temperature for YFC meat.
Numerical simulation of terahertz radiation in photoconductive antenna

The terahertz radiation in photoconductive antenna involves the multiple physical processes. It is a challenge to simulate the terahertz radiation in photoconductive antenna. A numerical simulation tool for the photoconductive antenna is very necessary to effectively design and optimize the terahertz radiation source. In this paper, by introducing the auxiliary equations describing the dynamic behaviors of carriers in the semiconductor into the Maxwell's equations, we use the three‐dimensional finite‐difference time‐domain method to solve these equations and obtain the time‐domain solutions in the nearfield of antenna. A near‐to‐far‐field transformation in the layered medium is adopted in order to obtain the wave pattern of terahertz radiation in the far field. Assisted by the developed simulation tool, the terahertz time‐domain waveforms and other terahertz radiation characteristics for the photoconductive antenna can be presented. By comparing with the experimental results reported in the references, the validity and reliability of these physical models and the developed simulation tool are demonstrated. More importantly, the results given in this paper will be of great significance to design and optimize the radiation performance of photoconductive antenna with different structures.
Flexible, boundary adapted, nonparametric methods for the estimation of univariate piecewise-smooth functions

: We present and compare some nonparametric estimation meth- ods (wavelet and/or spline-based) designed to recover a one-dimensional piecewise-smooth regression function in both a ﬁxed equidistant or not equidistant design regression model and a random design model. Wavelet methods are known to be very competitive in terms of denois- ing and compression, due to the simultaneous localization property of a function in time and frequency. However, boundary assumptions, such as periodicity or symmetry, generate bias and artiﬁcial wiggles which degrade overall accuracy. Simple methods have been proposed in the literature for reducing the bias at the boundaries. We introduce new ones based on adaptive combinations of two estimators. The underlying idea is to combine a highly accurate method for non-regular functions, e.g., wavelets, with one well behaved at boundaries, e.g., Splines or Local Polynomial. We provide some asymptotic optimal results supporting our approach. All the methods can handle data with a random design. We also sketch some generalization to the multidimensional setting. the performance of the proposed approaches we have an extensive set of simulations on synthetic data. An interesting regression analysis of two real data applications using these procedures unambiguously demonstrates their eﬀectiveness.
Evaluation of dietary intake in Korean adults according to energy intake from eating-out: Based on 2013~2014 Korea National Health and Nutrition Examination Survey

최근 우리나라는 급격한 경제 성장에 따라 생활수준이 크게 향상되었고, 핵가족의 증가, 여성들의 사회 참여 증가 로 인한 가사 노동 시간의 감소, 식품산업의 발달로 인한 가공식품과 편이식품의 다양화 및 질적 향상 등 다양한 사 회, 문화적 환경 요인의 변화로 인하여 식습관 및 식품 소 비 패턴 또한 계속적으로 변화되고 있다. 이와 같은 식생 활 변화 중 한국인의 외식 빈도 증가가 매우 두드러지고 있 다. 2014년 국민건강영양조사에 의하면 1일 1회 이상 외식 을 하는 비율이 19세 이상 성인에서 2008년 대비 18.9% 증 가하였으며 (2008년 23.8%, 2014년 28.3%), 이는 연령대 별로 차이를 보여 19~29세 성인의 경우 2008년 대비 2014 년 5.0%의 감소율을 보였지만 (2008년 40.3%, 2014년 38.3%), 30~49세 성인 (2008년 27.0%, 2014년 36.3%)과 50~64세 성인 (2008년 14.3%, 2014년 23.7%)의 경우 2008 년 대비 2014년에 각각 34.4%, 65.7%의 급격한 증가율을 보이는 것으로 나타났다. ABSTRACT
A novel fast MPPT strategy used for grid-connected residential PV system applied in morocco

Regardless its significant potential for generating renewable energy, Moroccan government prohibited the injection of production surplus into the low voltage (LV) network because it still lack the implementing decreases, that represents one of the principal challenges for residential self-production in the country. The focus of this paper work is to introduce and analyze a novel fast MPPT strategy applied in an improved grid-connected Residential PV system respecting the current legislative framework in Morocco, which allow to the consumer being an actor in the energy transition towards a low-carbon society by reducing his dependence to the electrical grid and managing his own energy consumption efficiently by a good switching between photovoltaic (PV) source and the grid and therefore making a framework of smart residence management system. The overall system is designed to improve the energy control performance with two techniques: the first one uses a novel high performance controller to track the maximum power point (MPP) of a photovoltaic array under fast irradiation and load changes. Among the advantages of this proposed controller is the stability of its output voltage with fast response speed to the required parameters. The second one uses a Power Factor Correction (PFC) circuit to ensure the power quality regulation in the grid side via a predictive current control method. Finally, the stability of a closed-loop system is simulated and analyzed using commercial software offering sufficient conditions to validate a practical stability and robustness of the proposed overall designed system.
Chemotherapy and other Factors Affecting Quality of Life in Non-Small Cell Lung Cancer (NSCLC) Patients

NSCLC accounts around 80% of all lung cancers. NSCLC patients have usually a lousy quality of life (QoL), influenced by the malignant disease itself and by cancer treatment modalities. We conducted an observational study in Oncology Department, Clinical Emergency Hospital, Constanta, on a sample of 50 patients diagnosed with NSCLC one year. Our study data showed that younger patients have a better QoL regarding social/family well-being, but without other significant differences. Also, patients living in the urban area have a better QoL regarding social/family well-being. Patients having better performance status obtain higher scores from all subscales of the FACT- G questionnaire and, also a higher FACT-G total scale, these results are showing that better the performance status and general status of the patient, better the QoL. We detected a significant relationship between QoL and disease stage or presence of metastasis. We found no clinical significance between QoL scores with respect with chemotherapy protocol or the number of cycles of chemotherapy. We aimed to show that factors influencing the QoL of NSCLC patients are stage of the disease and performance status of the patients. To diminish the negative impact, one important step in ameliorating the QoL of NSCLC patients is to detect all factors influencing it and offer psychological spiritual and social support.
Weighted Adaptive Opportunistic Scheduling Framework for Smartphone Sensor Data Collection in IoT

Smartphones are important platforms because of their sophisticated computation, communication, and sensing capabilities, which enable a variety of applications in the Internet of Things (IoT) systems. Moreover, advancements in hardware have enabled sensors on smartphones such as environmental and chemical sensors that make sensor data collection readily accessible for a wide range of applications. However, dynamic, opportunistic, and heterogeneous mobility patterns of smartphone users that vary throughout the day, which greatly affects the efficacy of sensor data collection. Therefore, it is necessary to consider phone users mobility patterns to design data collection schedules that can reduce the loss of sensor data. In this paper, we propose a mobility-based weighted adaptive opportunistic scheduling framework that can adaptively adjust to the dynamic, opportunistic, and heterogeneous mobility patterns of smartphone users and provide prioritized scheduling based on various application scenarios, such as velocity, region of interest, and sensor type. The performance of the proposed framework is compared with other scheduling frameworks in various heterogeneous smartphone user mobility scenarios. Simulation results show that the proposed scheduling improves the transmission rate by 8 percent and can also improve the collection of higher-priority sensor data compared with other scheduling approaches.
Small Clues Tell: a Collaborative Expansion Approach for Effective Content-Based Recommendations

ABSTRACT Content-based recommendation techniques usually require a large number of training examples for model construction, which however may not always be available in many real-world scenarios. To address the training data availability constraint common to the content-based approach, we develop a collaborative expansion-based approach to expand the size of training examples, which could lead to improved content-based recommendations. We use a book rating data set collected from Amazon to evaluate our proposed method and compare its performance against those of two salient benchmark techniques. The results show that our method outperforms the benchmark techniques consistently and significantly. Our method expands the size of training examples for a focal customer by leveraging the available preferences of his or her referent group, and thereby better supports personalized recommendations than existing techniques that solely follow content-based or collaborative filtering, without incurring costs to identify, collect, and analyze additional information. This study reveals the value and feasibility of collaborative expansion as a viable means to increase training size for the focal customer and thus address the training data availability constraint that seriously hinders the performance of content-based recommender systems.
Model of the Empowerment of Governance Based on the Human Resource Management for Supply Chains in Higher Education

The change management in higher education governance is able to adapt into a global change of businesses and sustainable technologies based on supply chain strategy. This study aims to assess the empowerment profile-based on the change management governance quality by human resource management. This research uses quantitative method to collecting data and documentation by triangulation technique to determine the main factors of quality policy, mechanism of reference preparation theory to fit theoretical reference and quality guarantee. The results show that there are changes of quality based on the governance management because of the main factor or the quality target indicators. The next result is the leadership variable which is main factor in accountable management, which of the good indicators to assess the overall management of universities proven indirectly to have is one a positive impact on changes in the performance of higher education management. This shows evidence that universities must consider the implementation of visionary leadership factors to improve the performance of human resource management in universities.
CD4 lymphocyte response following anti-retroviral therapy in HIV/AIDS patients - A study in Osmania General Hospital

The present study aimed at serial three year assessment of CD4 cell response after initiation of anti-retroviral therapy (ART) in patients with HIV/AIDS attending to Osmania General Hospital. It was a retrospective hospital based observational study. Data was collected over a period of 3 years from 2005 to 2007 in the ART Centre, Department of Medicine, Osmania General Hospital. We included 110 HIV/AIDS who were on ART. Serial monitoring of CD4 count was done and assessed. All patients were on ART as per National Aids Control Organisation (NACO) guidelines. Investigations included complete blood picture, serum creatinine, blood urea, serum electrolytes, liver function tests, sputum for acid fast bacilli, chest radiography, CD4 cell count and if required fine needle aspiration and biopsy, magnetic resonance imag-ing, computerized tomography, colonoscopy were also performed. The result of the present study shows increase in mean CD4 count by 128.78 cells/mm 3 after 6 months of initiation of ART, 24.77 cells/mm 3 after 1 year, 67.53 cells/mm 3 after 2 years and 5.59 cells/mm 3 after 3 years from the base line CD4 cell count. It certainly reveals the improvement in the CD4 count after ART initiation. Improvement in CD4 count was almost equal in both male and female and in all age groups. Mean CD4 cell count improved by 240.31 cells/mm 3 in females and 220.54 cells/mm 3 in males from the baseline after 3 years of treatment with ART. The present study clearly shows definite improvement in CD4 cell count after ART of more than 100% irrespective of age and sex. Regular intake of drugs will improve immunologic response. Therefore, strict adherence to ART and regular counselling sessions at ART centres should be stressed upon.
Estimación de la producción láctea del ganado Jersey usando variables temporales, intrínsecas y ambientales

“Dairy production of Jersey cattle estimation using temporary, intrinsic and environmental variables”. Introduction: Production systems looking for efficient use of resources are continually predicting the dairy production behavior of production animals. Objective: To generate a mathematical prediction model of dairy production that associates climate conditions at the moment the information was collected with the intrinsic characteristics of the livestock in two production systems located at 600 and 1 800m.a. s.l. in Cartago, Costa Rica. Methods: We used a database created from 2003 to 2014 for the production system located at 600m.a. s.l. with a total of 61 animals, while for the system established at 1 800m.a. s.l. the information was recorded between the 2011 to 2014, with 387 animals. Results: We generated three equations under the hypothesis that the producers do not gather and record the complete information. The first one considers the interaction of environmental, temporal, and intrinsic variables of the animal, while the other two equations separate the environmental effect and the characteristics of the animal. We determined that at 600m.a. s.l. the temperature (-4,52), lactation number (-0,99), the relative humidity (-0,16), the moth (-0,14) and lactation days (-0,02) have an adverse effect on milk production, while precipitation (0,0004), radiation (0,044), the age of the animal (0,084) and humidity and temperature index (2,68) favor productivity. At the same time, at 1 800m.a. s.l. radiation (-0,06), relative humidity (0,04) and lactating days (-0,03) decreased animal productivity, on the other hand, the assessment precipitation (0,02), month (0,07) and lactation number (0,57) increased. Conclusion: These equations are input so that those responsible for the production systems have a way to select animals or take actions to maintain animal homeostasis.
A quantum ampere

Abstract The revision of the International System of Units (SI), implemented since 20 May 2019, has redefined the unit of electric current, the ampere ( A), linking it to a fixed value of the elementary charge. This paper discusses the new definition and the realisation of the electrical units by quantum electrical metrology standards, which every year become more and more accessible, reliable and user friendly.
Fundamentals of Stock Price in Nepalese commercial banks

The aim of this study is to ascertain the determinants of the stock market price in Nepalese commercial banks for the period of 2065/66 to 2074/75. It is based on pooled cross-sectional data of ten banks for 10 years whose stocks are listed in Nepal stock exchange. The study employed correlational and causal comparative research design and result reveals that book value per share, price earnings ratio, return on equity have positive relationship with stock price. Dividend yield has positive but minimum influence on the price of the stock whereas size has negative relationship and is statistically insignificant with stock price. Further, it reveals that book value per share is a most influential factor that determines stock price in Nepal.
The climate index-length of stay nexus

Abstract This study sought to analyze the effect of the climate of tourists’ region of origin on their length of stay in a specific inland destination as climate of origin has been ignored in previous analyses. The present study collected data from 674 valid surveys of visitors in the selected destination and applied a zero-truncated negative binomial regression model and a Poisson-inverse Gaussian regression model. The results for this destination suggest that climate of origin affects tourists’ length of stay. This finding was obtained via the Poisson-inverse Gaussian regression model because of its greater tolerance to long tail distributions. Similarities and differences were found regarding results for other destinations found in the literature. The present findings further include the non-significant effect of reasons for traveling and tourists’ satisfaction and the significant influence of tourists’ mode of transport, income, and age on length of stay. Cheaper lodging categories also have an important impact on visitors who prefer extended stays.
Loss of Competence in early development is mediated by loss of chromatin accessibility

As development proceeds, inductive cues are interpreted by competent tissues in a spatially and temporally restricted manner. While key inductive signaling pathways within competent cells are well-described at a molecular level, the mechanisms by which tissues lose responsiveness to inductive signals are not well understood. Localized activation of Wnt signaling before zygotic gene activation in Xenopus laevis leads to dorsal development, but competence to induce dorsal genes in response to Wnts is lost by the late blastula stage. We hypothesize that loss of competence is mediated by changes in histone modifications leading to a loss of chromatin accessibility at the promoters of Wnt target genes. We use ATAC-seq to evaluate genome-wide changes in chromatin accessibility across several developmental stages. Based on overlap with p300 binding, we identify thousands of putative cis-regulatory elements at the gastrula stage, including sites that lose accessibility by the end of gastrulation and are enriched for pluripotency factor binding motifs. Dorsal Wnt target gene promoters are not accessible after the loss of competence in the early gastrula while genes involved in mesoderm and neural crest development maintain accessibility at their promoters. Inhibition of histone deacetylases increases acetylation at the promoters of dorsal Wnt target genes and extends competence for dorsal gene induction by Wnt signaling. Histone deacetylase inhibition, however, is not sufficient to extend competence for mesoderm or neural crest induction. These data suggest that chromatin state regulates the loss of competence to inductive signals in a context-dependent manner.
An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs

We combined clinical, cytokine, genomic, methylation and dietary data from 43 young adult monozygotic twin pairs (aged 22–36 years, 53% female), where 25 of the twin pairs were substantially weight discordant (delta body mass index > 3 kg m−2). These measurements were originally taken as part of the TwinFat study, a substudy of The Finnish Twin Cohort study. These five large multivariate datasets (comprising 42, 71, 1587, 1605 and 63 variables, respectively) were jointly analysed using an integrative machine learning method called group factor analysis (GFA) to offer new hypotheses into the multi-molecular-level interactions associated with the development of obesity. New potential links between cytokines and weight gain are identified, as well as associations between dietary, inflammatory and epigenetic factors. This encouraging case study aims to enthuse the research community to boldly attempt new machine learning approaches which have the potential to yield novel and unintuitive hypotheses. The source code of the GFA method is publically available as the R package GFA.
Necesidad de una política nacional para el control de las enfermedades crónicas no transmisibles Need for a national policy trying to control chronic non- communicable diseases

La disminución de la mortalidad no sólo depende de mejorar el acceso a los servicios de salud o brindar tratamiento o fármacos específicos, sino también de la aplicación de políticas de estado en salud pública y programas de control, especialmente aquellos que se centran en factores de riesgos considerados comunes y críticos, como son la nutrición, actividad física, el consumo de tabaco y educación [2,3].
Skuteczne leczenie nilotynibem u chorej na przewlekłą białaczkę szpikową po uprzednim leczeniu imatynibem powikłanym aplazją szpiku Successful treatment with nilotinib due to chronic myeloid leukemia in the patient previously treated with imatinib that was complicated by aplastic anemia

The case of 56-year-old female with chronic myeloid leukemia in chronic phase is presented. The patient developed severe aplastic anemia after 3 weeks of treatment with imatinib (IM) (2 weeks at the dose of 400 mg and one week at the dose of 300 mg daily). The treatment was discontinued. It took 16 months to achieve normalization of blood cells morphology. Due to hematological toxicity of IM, treatment with nilotinib as a second-line therapy was introduced. No haematologic complications were observed during 54 months of treatment with nilotinib. Complete cytogenetic response and major molecular response were achieved after 6 and 18 months of treatment, respectively. Complete molecular response was noted after 51 months on nilotinib.