Comparative Evaluation of Data Mining Algorithms in Breast Cancer

Unchecked breast cell growth is one of the leading causes of death in women globally and is the cause of breast cancer.The only method to avoid breast cancer-related deaths is through early detection and treatment.The proper classification of malignancies is one of the most significant challenges in the medical industry.Due to their high precision and accuracy,machine learning techniques are extensively employed for identifying and classifying various forms of cancer.Several data mining algorithms were studied and implemented by the author of this review and compared them to the present parameters and accuracy of various algorithms for breast cancer diagnosis such that clinicians might use them to accurately detect cancer cells early on.This article introduces several techniques,including support vector machine(SVM),K star(K∗)classifier,Additive Regression(AR),Back Propagation Neural Network(BP),and Bagging.These algorithms are trained using a set of data that contains tumor parameters from breast cancer patients.Comparing the results,the author found that Support Vector Machine and Bagging had the highest precision and accuracy,respectively.Also,assess the number of studies that provide machine learning techniques for breast cancer detection.

A Scalable Interconnection Scheme in Many-Core Systems

Recent architectures of multi-core systems may have a relatively large number of cores that typically ranges from tens to hundreds;therefore called many-core systems.Such systems require an efficient interconnection network that tries to address two major problems.First,the overhead of power and area cost and its effect on scalability.Second,high access latency is caused by multiple cores’simultaneous accesses of the same shared module.This paper presents an interconnection scheme called N-conjugate Shuffle Clusters(NCSC)based on multi-core multicluster architecture to reduce the overhead of the just mentioned problems.NCSC eliminated the need for router devices and their complexity and hence reduced the power and area costs.It also resigned and distributed the shared caches across the interconnection network to increase the ability for simultaneous access and hence reduce the access latency.For intra-cluster communication,Multi-port Content Addressable Memory(MPCAM)is used.The experimental results using four clusters and four cores each indicated that the average access latency for a write process is 1.14785±0.04532 ns which is nearly equal to the latency of a write operation in MPCAM.Moreover,it was demonstrated that the average read latency within a cluster is 1.26226±0.090591 ns and around 1.92738±0.139588 ns for read access between cores from different clusters.

Synthesis,Crystal Structure,and Spectral Properties of a Novel Co(II) Complex Containing Imidazole Derivative

A novel imidazole derivative with functional group and π-conjugated system, 1- [trans-4-（4-diethylaminostyryl）phenyl]imidazole （abbreviated as L）, and its Con complex （COCl2L4）2 （Co2C168H184N24Cl4, Mr = 2799.05 ） have been synthesized and the crystal structure of the latter was determined by X-ray diffraction. The crystal is of triclinic, space group PI with a = 8.823（3）, b = 18.799（7）, c =23.065（9） A, α = 77.349（6）, β = 83.128（7）, ）, γ= 80.942（3）°, V = 3671.5（12） A^3, Z = 1, Dc = 1.266 g/cm^3,/z = 0.361 mm^-1 F（000） = 1482, the final R = 0.0587 and wR = 0.1284 for 6562 observed reflections with I 〉 2σ（I）. In the molecular structure of （COCl2L4）2, there are two crystallographically unique units. The Co^Ⅱ atoms are six-coordinated by four N atoms from four imidazole ligands （L） and two Cl atoms to form a distorted octahedral geometry. The optical properties of complex （COCl2L4）2 have been experimentally studied.

Crystal Structure, DFT Calculation and Photophysical Studies of a Schiff Base

A Schiff base DSH （DSH = （4-dipropylanilino-styryl） hydrazine） has been synthe- sized and fully characterized by 1H NMR, 13C NMR, ESI-MS, elemental analysis and single-crystal X-ray diffraction analysis. It crystallizes in triclinic, space group Pi, with a = 8.447（5）, b = 10.543（5）, c = 14.540（5） A, a = 78.600（5）, β = 78.222（5）, y = 78.247（5）, V= 1225（1） A3, Z = 2, D,. -- 1.103 g/m3, F（000） = 444, Mr = 406.60, μ= 0.066 mm, the final R = 0.0414 and wR = 0.1065 for 8691 observed reflections with I 〉 2（/）. The structural analysis revealed that the molecule possesses good planar structure. The absorption spectra and one-photon fluorescence in different solvents were experimentally studied. The result indicates that the compound exhibits intense fluorescent emission bands in protic solvents, such as ethanol and methanol. Quantum chemical calculations based on time-dependent density functional theory （TD-DFT） at the level of TD-DFT/B3LYP/6-31G were performed to investigate the UV absorption spectrum, and influence of solvents on the fluorescence spectra is analyzed based on the optimized structure at the level of B3LYP/6-31G（d）.