Miracle-dz/UniFAR-FTUs huggingface dataset:
An Application for Improved Bee Colony Algorithm on A Multi-Objective Real-World Optimization Problem

This paper presents an application of improved bee colony algorithm for multi-objective optimization (IBMO) on a real-world optimization problem known as welded beam design. IBMO is founded on the principle of single objective artificial bee colony algorithm (ABC). It also combines the nondominated sorting strategy of NSGAII and classical multi-objective optimization procedures such as Pareto-Dominance, crowding distance, external archive, and etc. Furthermore, IBMO has an improvement method to accelerate the convergence by considering the number of function evaluations. By using several benchmark problems, the running consistency and robustness of IBMO has been reported in a previous study of authors. In this study, IBMO determines the parameters of welded beam engineering problem which has several constraints and two objectives: (1) minimum cost and (2) minimum end deflection. The experimental results are compared with two algorithms. The results clearly show that IBMO reaches the better results easily and it is a capable tool to solve multi-objective real world optimization problems
Effect of the TV'-Oxides of Adenosine, 2'-Deoxyadenosine, and 3'-Deoxyadenosine on Tumor Growth in Vivo

Summary The i.p. injection of 3'-deoxyadenosine A^-oxide mice bearing Ehrlich ascites tumor cells has a profound inhibitory effect on tumor growth and also significantly increases the survival time of the mice. 3'-Deoxyadenosine also inhibits tumor growth but less markedly than 3'-deoxyadenosine A^-oxide. 2'-Deoxyadenosine Ari-oxide and adenosine A^-oxide inhibit tumor growth to some extent. the therapeutic agent. The greater degree of inhibition exerted by 3'-deoxyadenosine
Digital Commons @ Michigan Tech Digital Commons @ Michigan Tech Global ocean particulate organic carbon flux merged with satellite Global ocean particulate organic carbon flux merged with satellite parameters parameters

Particulate organic carbon (POC) ﬂux estimated from POC concentration observations from sediment traps and 234 Th are compiled across the global ocean. The compilation includes six time series locations: CARIACO, K2, OSP, BATS, OFP, and HOT. Efﬁciency of the biological pump of carbon to the deep ocean depends largely on biologically mediated export of carbon from the surface ocean and its remineralization with depth; thus biologically related parameters able to be estimated from satellite observations were merged at the POC observation sites. Satellite parameters include net primary production, percent microplankton, sea surface temperature, photosynthetically active radiation, diffuse attenuation coefﬁcient at 490 nm, euphotic zone depth, and climatological mixed layer depth. Of the observations across the globe, 85 % are concentrated in the Northern Hemisphere with 44 % of the data record overlapping the satellite record. Time series sites accounted for 36 % of the data, while 71 % of the data are measured at ≥ 500 m with the most common deployment depths between 1000 and 1500 m. This data set is valuable for investigations of CO 2 drawdown, carbon export, remineralization, and sequestration. The compiled data can be freely accessed at doi:10.1594/PANGAEA.855600.
Taxation and Inflation in Kenya

: - Taxes remain a major source of revenue for a country and can have several impacts on the economy. Studies examining the influence of taxation on inflation have reported mixed results and did not break down taxation into its components. This creates uncertainty with regard to the influence of taxation components like excise duty (ED), import duty (ID), income tax (IT) and Value Added Tax (VAT) on inflation. This study’s objective was to establish the influence of taxation on inflation in Kenya to bridge the knowledge gap. Monthly time series data from Central Bank of Kenya spanning 132 months from 2005 to 2015 was used for analysis based on variance decomposition and impulse response analysis. Results indicated that total tax had a positive influence on inflation. However, influence was highly due to indirect taxes. In view of this, the study recommends adoption of fiscal policy that target reduction in taxation that are likely to lower production costs leading to a reduction in inflation in Kenya.
What Does In-Work Poverty Mean for Women: Comparing the Gender Employment Segregation in Belgium and China

: This article presents an analysis of the female working poor in relation to gender employment segregation. It draws a cross-national proﬁle of the female working poor in Belgium and China: two di ﬀ erent nations with distinct stories of socio-economic development and cultural heritage, while both are characterized by high female employment participation. Analyses show that (1) women share a higher proportion among the total working poor population in both nations during recent years, whereas (2) in-work poverty has been a chronic condition, particularly among female workers in low-quality jobs. Thus, to some extent, labor market institutions may shape this gendered tendency of in-work poverty. In this article, women’s position in the public sphere in relation to employment segregation is discussed, and a contextual analysis identiﬁes the causes of gender employment segregation. The results shed light on the crucial role of gender employment segregations related to in-work poverty and show that gender ideology and stereotypes do matter in explaining such employment di ﬀ erences. We argue that the promotion of female participation should be combined with explicit measures to reduce the disadvantageous position of women in the labor market.
Masters Thesis: Learning autonomous grasping strategies for a care robot

Autonomous grasping is a key requisite for the autonomy of robots. However, grasping of unknown objects in domestic environments is difficult due to the presence of unpredictability and clutter. In this paper, a novel algorithm capable of finding an unobstructed grasping pose on unknown regular object shapes in cluttered environments is proposed. At first, an Axis Aligned Bounding Box (AABB) is fitted around the target object point cluster, proposing a limited set of possible grasps. A Support Vector Machine (SVM) is trained to take the decision of the preferred grasp via supervised Machine Learning. Such decision is based on the distribution of obstacles around the target object, inferred by sampling the OctoMap of the scene. Four different versions of the algorithm have been trained, tested and validated with simulation and real data, with known and unknown target object shapes, in more than 120 different scenarios. The best performing algorithm version returned an unobstructed grasping position in more than 90% of the cases. Thanks to the the use of the OctoMap representation, significant results are achieved with a limited set of training examples, with a 10 to 10.000 fold reduction of training examples amount with respect to comparable state-of-the-art algorithms. The algorithm also proved itself capable to generalise to novel object shapes and from simulation to real data. Master of Science Thesis Enrico Liscio
Identifying Obstacles in Data Sharing by Automatic Extraction of Problematic Points in Documents

— This paper aims to propose an automatic viewpoint extraction method using open data obstacle extraction as an example. Open data (data sharing) is very important because it reduces job repeatability and increase productivity and openness of work. However, open data in China is not as well developed as we wish. It is hindered by various problems, such as the willingness to share, the incompatible of data formats, etc. In order to identify different problems, then allocate to relevant parties to tackle these problems, we adopt an automatic extraction algorithm of natural language processing techniques, to automatically identify problematic points (obstacles) of data sharing from relevant literature. In this paper, we first construct a vocabulary for “obstacles”, so that machines can find “obstacles” in literature more accurately. Then, an extraction algorithm combined with word2vec and Pointwise Mutual Information (PMI) is proposed, to automatically find the sentences that talk about “obstacles” of open data in documents. An experiment of this method is carried out and analyzed. It shows that the proposed method can be a very good tool for similar tasks that need to find viewpoint from a large amount of documents but cannot be done by simple
1 Results , meta-analysis and a first evaluation of U NOx R , the urinary nitrate-to-nitrite molar ratio , as a measure of nitrite reabsorption in experimental and clinical settings

1 Institute of Toxicology, Core Unit Proteomics, Hannover Medical School, Hannover, Germany 2 Department of Physiology, Faculty of Health Sciences, North-West University, Hypertension in Africa Research Team (HART), MRC Research Unit for Hypertension and Cardiovascular Disease 3 Institute of Clinical Pharmacology, Hannover Medical School, Hannover, Germany 4 Institute of Laboratory Animal Science, Hannover Medical School, Hannover, Germany 5 Institute of Clinical Biochemistry, Hannover Medical School, Hannover, Germany 6 Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands 7 Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands 8 TNO Metabolic Health Research, Gaubius Laboratory, Leiden, The Netherlands 9 Department of Neuropaediatrics, University Children's Hospital, Ruhr University, Bochum, Germany 10 UMR Physiologie de la Nutrition et du Comportement Alimentaire, AgroParisTech, INRA, Université Paris-Saclay, 75005, Paris, France 11 Department of Urology and Urological Oncology, Division of Surgery, Hannover Medical School, Hannover, Germany
EXISTENCE OF UNCONDITIONAL WAVELET PACKET BASES FOR THE SPACES L p ( R ) AND H 1 ( R )

It is proved that the system { ω (cid:1),n,k : (cid:2) = j − m ; n = 2 m , 2 m + 1 , . , 2 m +1 − 1; j, k ∈ Z (cid:1) of wavelet packets is an unconditional basis for L p ( R ) , 1 < p < ∞ and H 1 ( R ) , where m = 0 if j ≤ 0 and m = 0 , 1 , 2 , . , j if j > 0 , provided the orthonormal wavelet packets ω n and its derivative ω (cid:1) n have a common radial decreasing L 1 - majorant satisfying the condition (cid:2) ∞ 0 sH ( s ) ds < ∞ .
Real-time automatic identi�cation ear diseases using a deep learning model

Early detection and appropriate medical treatment is of great use for ear disease. However, a new diagnostic strategy is necessary in the absence of experts and relatively low diagnostic accuracy, in which deep learning plays an important role. This paper puts forward a mechanic learning model which uses abundant otoscope image data gained in the clinical cases in order to achieve automatic diagnosis of ear diseases in real time. A total of 20,542 endoscopic images were employed to train nine common deep convolution neural networks. According to the characteristics of eardrum and external auditory canal, eight kinds of ear diseases were classi�ed, involving the majority of ear diseases, such as normal, Cholestestoma of middle ear, Chronic suppurative otitis media, External auditory cana bleeding, Impacted cerumen, Otomycosis external, Secretory otitis media, Tympanic membrane calci�cation. After we evaluate these optimization schemes, two best performance models are selected to combine the ensemble classi�ers with real-time automatic classi�cation. Based on accuracy and training time, we choose a transferring learning model based on DensNet-BC169 and DensNet-BC1615, getting a result that each model has obvious improvement by using these two ensemble classi�ers, and has average accuracy of 95.59%. Considering the dependence of classi�er performance on data size in transfer learning, we evaluate the high accuracy of the current model that can be attributed to large databases. Current studies are unparalleled regarding disease diversity and diagnostic precision. The real-time classi�er trains the data under different acquisition conditions, which is suitable for the real cases. According to this study, in the clinical case, deep learning model is of great use in early detection and remedy of ear diseases.
OTT_A_248623 9533..9542

Qiang-Wei Wang* Yi-Wen Wang* Zhi-Liang Wang Zhao-Shi Bao 3 Tao Jiang Zheng Wang Gan You 1Beijing Neurosurgical Institute, Capital Medical University, Beijing, People’s Republic of China; 2Huadong Medical Institute of Biotechniques, Nanjing, People’s Republic of China; 3Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China; 4China National Clinical Research Center for Neurological Diseases, Beijing, People’s Republic of China; 5Center of Brain Tumor, Beijing Institute for Brain Disorders, Beijing, People’s Republic of China
In Vitro Conservation and Germination of Encapsulated Somatic Embryos of "Barhi" Date Palm

Synthetic seeds technique is a tool for mass propagation of elite plant species with high commercial value. Somatic embryos (1.5 mm in length) of date palm cv. Barhi were used in two experiments, the first experiment was designed to study the effect of sodium alginate concentrations at 4%, 5% and 6% and Abscisic acid concentration at 0.0, 0.5, 1.5 and 2.0 mg l −1 on conservation and germination of encapsulated somatic embryos of date palm cv. Barhi after four months. The second experiment aims to get the highest germination percentage and growth vigor of synthetic seeds which conserved for a period of four months at the same condition of the best treatment from the previous experiment, it has been used three combinations of plant growth regulator as follows: I- (0.1 mg l −1 α-naphthalene acetic acid (NAA) + 0.05 mg l −1 6-benzylaminopurine(BA)), II- (0.1 mg l −1 NAA + 0.02 mg l −1 BA + 0.03 mg l −1 Kinetin (Kin)) and III- (0.1 mg l −1 NAA + 0.02 mg l −1 BA + 0.03 mg l −1 Kin + 0.5 mg l −1 Gibberellic acid). The results showed that, the best treatment which gave the highest percentage of synthetic seeds germination (71.6%) and a maximum degree of embryos growth (= 4) was 5% of sodium alginate +1.5 mg l −1 Abscisic acid. While in the second experiment, the best result of percentage of conversion (80.1%) and (80.6%) were achieved at using of second and third treatments combinations respectively.
Reciprocity laws for smooth projective schemes

We prove that two natural isomorphisms between the first mod m Suslin homology and the mod m abelianized étale fundamental group agree for connected smooth projective schemes over algebraically closed fields. Zusammenfassung. Wir zeigen, dass zwei natürliche Isomorphismen zwischen der ersten mod m Suslinhomologie und der mod m abelisierten étalen Fundamentalgruppe eines zusammenhängenden, glatten, projektiven Schemas über einem algebraisch abgeschlossenem Körper übereinstimmen.
D R A F T Nanopaleomagnetic properties of the meteorite cloudy zone

Iron meteorites contain a record of their thermal and magnetic his-tory, written in the intergrowths of iron-rich and nickel-rich phases that formed during slow cooling over millions of years. Of in-tense interest from a magnetic perspective is the "cloudy zone", a nanoscale intergrowth containing tetrataenite – a naturally occurring hard ferromagnetic mineral, which has potential applications as a sustainable alternative to rare-earth permanent magnets. Despite recent success in using the cloudy zone as a paleomagnetic archive of magnetic activity on the parent bodies of iron and stony-iron meteorites, the mechanism by which paleomagnetic information is recorded by the cloudy zone remains unknown. Here we use a combination of high-resolution electron diffraction, electron tomography, atom probe tomography and micromagnetic simulations to reveal the three-dimensional architecture of the cloudy zone with sub-nanometre spatial resolution, and thereby model the mechanism of remanence acquisition during slow cooling on the meteorite parent body. The cloudy zone is shown to acquire paleomagnetic remanence via a sequence of magnetic domain state transformations, driven by Fe-Ni ordering below 320 ◦ C. Our results not only reveal how the three-dimensional chemical, crystallographic and magnetic state of the cloudy zone controls its paleomagnetic recording potential, but point towards a pathway to optimise the performance of synthetic tetrataenite-based permanent magnets for future energy and transport applications.
ARCHAEOMETRIC STUDY OF A POLYCHROME WOODEN COFFIN FROM 26 TH DYNASTY-EGYPT

This study focuses on a multi-analytical method to identify the pigments, ground layer, and previous restoration materials used on a polychrome wooden coffin (Late Period) from Saqqara, Egypt. It utilized technical imaging, optical microscopy, scanning electron microscope attached to X-ray dispersion unit, X-ray diffraction, and Fourier transform infrared spectroscopy. The results showed the use of hematite and cinnabar for the red painted layers, Egyptian blue for the blue painted layer, yellow ochre for the yellow painted layer, Atacamite and Paratacamite for the green painted layer and carbon for black painted layer. The ground layer was calcium carbonate. The original binding medium was animal glue, while the previous consolidation materials were poly vinyl acetate (PVAC) and beeswax.
A Review on: the Rise in Cyber Forensics & Innovations

— The extensive relevance of forensics in today's data-driven environment has been brought into focus in this article. Both freeware and profitable software are contentious fields, with opposing concerns about accessibility and security. This article has a primary goal of using pre-defined criteria and a platform-oriented approach and using it to examine profitable and freeware mobile forensic alternatives. Test conditions are put in place to ensure that the tools provide an inclusive approach to respond to digital problems and scenarios. Oxygen Forensic Suite and Prodiscover are considered profitable tools, whereas The Magnet Forensics and Sleuth Kit are considered freeware tools. The study concludes with a comparison matrix that may aid in determining the best-fit option for the investigation's requirements. This might suggest how freeware ones may replace many proprietary applications: Can proprietary software replace freeware tools? This might maybe be implemented.
Gradient prosodic correlates of phrasing in French

In its modest scale, the present paper advances theoretical claims about the prosodic structure of French, and, at the same time, shows how far these claims are corroborated by empirical results. Crucially, the experiments presented below show that prosodic structure is sensitive to several factors and is subject to variation, and that, ultimately, the grammar of prosody is to be conceived in a way that takes variation into account. French uses a combination of segmental and tonal cues to signal prosodic phrases, and differs in this respect from a language like English, which relies almost exclusively on tonal boundaries (Pierrehumbert 1980, Gussenhoven 1984). This paper studies the segmental aspects of phrasing and largely ignores the tonal ones (see e.g. Di Cristo 1998, Di Cristo & Hirst 1996, Fery 2001, Fougeron & Jun 1998, Jun & Fougeron 1998 Mertens 1993 and Rossi 1980 for a review of the tonal correlates of phrasing in French). It reports the results of an experimental study of three segmental correlates of phrasing: obstruent voicing assimilation (OVA), nasal-obstruent simplification (NOS) and liaison. It is shown first that these processes regularly take place inside a prosodic domain of the size of a phonological phrase (PhP or simply P), but two of them obstruent voicing assimilation and nasal-obstruent simplification are blocked across PhP boundaries, at least when this boundary originates from the presence of narrow focus (see below).
Comparison of Pullout Strength According to Thread Design of Pedicle Screw Under Various Bone Quality Circumstance

i Abstract Although dual-threaded pedicle screw has been developed, the potential advantages over a conventional single-threaded pedicle screw still remains controversial. The purpose of the study was to investigate the biomechanical performance of dual-threaded pedicle screws by comparing pullout strength with single-treaded screw using polyurethane foams and finite element (FE) models. We designed four types of pedicle screws with different thread patterns. They were, Type I: single thread screw (conventional single-threaded screw); Type II: double threads screw; Type III: dual-threaded screw with double threads in proximal one-fourth; and Type IV: dual-threaded screw with double threads in proximal and distal one-fourths (newly designed double dual-threaded screw).
the signal from the Virgo cluster

The Virgo cluster is the largest Sunyaev-Zeldovich (SZ) source in the sky, both in terms of angular size and total integrated ﬂux. Planck ’s wide angular scale and frequency coverage, together with its high sensitivity, allow a detailed study of this large object through the SZ e ﬀ ect. Virgo is well resolved by Planck , showing an elongated structure, which correlates well with the morphology observed from X-rays, but extends beyond the observed X-ray signal. We ﬁnd a good agreement between the SZ signal (or Compton paranmeter, y c ) observed by Planck and the expected signal inferred from X-ray observations and simple analytical models. Due to its proximity to us, the gas beyond the virial radius can be studied with unprecedented sensitivity by integrating the SZ signal over tens of square degrees. We study the signal in the outskirts of Virgo and compare it with analytical models and a constrained simulation of the environment of Virgo. Planck data suggest that signiﬁcant amounts of low-density plasma surround Virgo out to twice the virial radius. We ﬁnd the SZ signal in the outskirts of Virgo to be consistent with a simple model that extrapolates the inferred pressure at lower radii while assuming that the temperature stays in the keV range beyond the virial radius. The observed signal is also consistent with simulations and points to a shallow pressure proﬁle in the outskirts of the cluster. This reservoir of gas at large radii can be linked with the hottest phase of the elusive warm / hot intergalactic medium. Taking the lack of symmetry of Virgo into account, we ﬁnd that a prolate model is favoured by the combination of SZ and X-ray data, in agreement with predictions. Finally, based on the combination of the same SZ and X-ray data, we constrain the total amount of gas in Virgo. Under the hypothesis that the abundance of baryons in Virgo is representative of the cosmic average, we also infer a distance for Virgo of approximately 18Mpc, in good agreement with previous estimates.
Dispatching the Request based on Energy Price for Cloud Data Centers

: Cloud services are utilized by the data center resources and this helps hosted applications to use them when needed. Cloud service providers control tens of geographically distributed data centers to supply an enormous number of computational resources. Since each data center is consists of many thousands of physical machines, the foremost concern for cloud service providers is energy consumption. Those companies that are imposed by electric costs and which lead them to significant financial overheads and increases the worth for the cloud users. This paper presents the dispatcher of the request supported the energy-price in an electric-cost-saving way by forwarding client requests to data centers. In our technique, a policy that shifts client requests to electrically cheaper data centers gradually along by taking into consideration application latency requirements and data center loads. The results supported our simulation show that our technique can reduce electric costs by quarter-hour quite randomly dispatching client requests.