SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning

The field of machine learning (ML) has witnessed significant advancements in recent years. However, many existing algorithms lack interpretability and struggle with high-dimensional and imbalanced data. This paper proposes SPINEX, a novel similarity-based interpretable neighbor exploration algorithm designed to address these limitations. This algorithm combines ensemble learning and feature interaction analysis to achieve accurate predictions and meaningful insights by quantifying each feature's contribution to predictions and identifying interactions between features, thereby enhancing the interpretability of the algorithm. To evaluate the performance of SPINEX, extensive experiments on 59 synthetic and real datasets were conducted for both regression and classification tasks. The results demonstrate that SPINEX achieves comparative performance and, in some scenarios, may outperform commonly adopted ML algorithms. The same findings demonstrate the effectiveness and competitiveness of SPINEX, making it a promising approach for various real-world applications

Nonlinear Analysis of Slurry Infiltrated Fiber Concrete Vierendeel Truss

الغرض من هذا البحث هو دراسة التصرف الانشائي للمسنمات الفرنديلية المصنوعة من الملاط الخرساني المقوى بألياف الحديد (السفكون) تحت الحمل المسلط باستخدام التحليل النظري للمسنمات المدروسة. استخدم برنامج الاباكوس لدراسة السلوك اللاخطي لهذه المسنمات بالاعتماد على العناصر المحددة ثلاثية الابعاد. التصرف الانشائي تمثل بالحمل الاقصى نمط التشققات و الهطول. النتائج النظرية تمت مقارنتها مع النتائج العملية التي تم اجراؤها سابقا واظهرت توافق جيد ونمط فشل مشابه للنتائج العملية. وقد وجد بأن وجود الفتحات يتسبب بقطع لمسار الاجهادات مما يتسبب بتركز الاجهادات في منطقة الفتحات والظهور المبكر للتشققات.The behavior of slurry-infiltrated fiber concrete (SIFCON) Vierendeel trusses under the applied load by employing numerical analyses for the studied trusses is the aim of this paper. The nonlinear behavior of such trusses have been investigated using the finite element software ABAQUS. A finite element model of three dimensions has been used. The structural behaviour is presented in terms of ultimate load, crack pattern and deflection. The numerical results show that the simulated numerical behavior has a good agreement with the experimental results of the pervious tested specimens and the failure mode similar to that recorded in the experimental test. It was found that when the openings are present, the usual flow of stresses is disrupted or interrupted, which causes stress concentration and early cracking in the area of the opening

Transient post-exercise hyper-perspiration of forehead area

Information about sweating responses during exercise recovery is insufficient and mostly controversial. In the present study, particular attention is given to sweating behavior at forehead area immediately after exercise. Simultaneous changes of some underlying factors are also addressed. Eight healthy young males (27.4±0.8 years old) volunteered for the study. They performed a constant work rate exercise (60 rpm at 50% of individual work load for VO2 peak) for 30 min. Sweating from the forehead area was measured by the weight gain of a covered filter paper disk. Simultaneous variations in tympanic temperature, heart rate and mean arterial pressure were obtained. Plasma concentrations for sodium, vasopressin, adrenalin and noradrenalin were also determined. Sweating rate increased up to the first sample taken immediately after exercise cessation (P < 0.05). All other variables measured increased during exercise and with exception of noradrenalin, which was maintained high. Other variables, on the whole, decreased during recovery period. At exercise, off-transient coincident with overshoot in sweating rate, tympanic temperature, noradrenalin and vasopressin were subject to a non significant elevation. These results suggest that, sweating from forehead area is still subject to increase at exercise off-transient. The effects of relevant factors studied here are contradictory and could not justify the increase seen in sweating at off-transient. More studies are required to elucidate the causative factor(s).Key words: Exercise off-transient, recovery, sweating rate, forehead

Polymorphisms in TNF Receptor Superfamily 1B (TNFRSF1B:rs3397) are Linked to Mycobacterium avium paratuberculosis Infection and Osteoporosis in Rheumatoid Arthritis

We previously discovered that single nucleotide polymorphisms (SNPs) in PTPN2/22 (T-cell negative-regulators) occur in 78% of rheumatoid arthritis (RA), along with Mycobacterium avium paratuberculosis (MAP) infection in 33% of patients. In Crohn’s disease, we reported that SNPs in TNFα and receptors (TNFRSF1A/TNFRSF1B) benefited intracellular MAP-survival, increased infection, and elevated inflammatory response mimicking the poor response to anti-TNFα treatment in some patients. Here, we studied the frequency and effects of SNPs in TNFα/TNFRSF1A/TNFRSF1B in RA including gene expression, MAP infection, and osteoporosis marker levels in blood (54 RA and 48 healthy controls). TNFα:rs1800629 (GA) was detected in 19/48 (40%) RA and 8/54 (15%) controls (p-value CT (0.34 ± 0.14) and CC > TT (0.27 ± 0.12)), compared to wildtype CC (0.51 ± 0.17), p-value < 0.05. MAP DNA was detected significantly in 17/48 (35.4%) RA compared to 11/54 (20.4%) controls (p-value < 0.05, OR = 2.14, 95% CI: 1.12–5.20). The average osteocalcin level was significantly lower (p-value < 0.05) in RA (2.70 ± 0.87 ng/mL), RA + MAP (0.60 ± 0.31 ng/mL), RA + TNFRSF1B:rs3397 (TT) (0.67 ± 0.35 ng/mL), compared to the healthy control (5.31 ± 1.39 ng/mL), and MAP-free RA (3.85 ± 1.31 ng/mL). Overall, rs3397 appears to downregulate TNFRSF1B, increase MAP infection, worsen inflammation, and cause osteocalcin deficiency and possibly osteoporosis in RA

K−means clustering microaggregation for statistical disclosure control

This paper presents a K-means clustering technique that satisfies the bi-objective function to minimize the information loss and maintain k-anonymity. The proposed technique starts with one cluster and subsequently partitions the dataset into two or more clusters such that the total information loss across all clusters is the least, while satisfying the k-anonymity requirement. The structure of K− means clustering problem is defined and investigated and an algorithm of the proposed problem is developed. The performance of the K− means clustering algorithm is compared against the most recent microaggregation methods. Experimental results show that K− means clustering algorithm incurs less information loss than the latest microaggregation methods for all of the test situations

Study on heavy metals levels and its risk assessment in edible fish (Himantura imbricate) from Persian Gulf

Heavy metals are contaminants of great environmental concern due to their multiple origins (natural and anthropogenic), the ability to accumulate in organs and tissues, and the deleterious effects they can cause in organisms. Studies on the accumulation of metals in seafood, such as fish, have increased in importance due to the risk for human health when consuming fish contaminated by metals. The present work was aimed at verifying the concentrations of cadmium (Cd), Nickel (Ni) and lead (Pb) in the muscular tissue of Himantura imbricate (from the Persian Gulf in Hormozgan province, Iran. Samples were analyzed by Atomic Absorption Spectroscopy. There were significant variations among heavy metal accumulation levels of the species and their regions. The heavy metal concentrations found in regions varied for Cd: 0.14, Ni: 0.33, Pb: 0.02 in Qeshm and Cd: 0.25, Ni: 0.48, Pb: 0.03, µg/g in Suoroo. The heavy metal concentrations of fish in Qeshm were lower than those of fish from Suoroo regions. This research showed that heavy metal concentrations in muscle of investigated specie were also lower than the maximum levels set by law

Microaggregation Sorting Framework for K-Anonymity Statistical Disclosure Control in Cloud Computing

In cloud computing, there have led to an increase in the capability to store and record personal data ( microdata ) in the cloud. In most cases, data providers have no/little control that has led to concern that the personal data may be beached. Microaggregation techniques seek to protect microdata in such a way that data can be published and mined without providing any private information that can be linked to specific individuals. An optimal microaggregation method must minimize the information loss resulting from this replacement process. The challenge is how to minimize the information loss during the microaggregation process. This paper presents a sorting framework for Statistical Disclosure Control (SDC) to protect microdata in cloud computing. It consists of two stages. In the first stage, an algorithm sorts all records in a data set in a particular way to ensure that during microaggregation very dissimilar observations are never entered into the same cluster. In the second stage a microaggregation method is used to create k -anonymous clusters while minimizing the information loss. The performance of the proposed techniques is compared against the most recent microaggregation methods. Experimental results using benchmark datasets show that the proposed algorithms perform significantly better than existing associate techniques in the literature

Microwave Assisted Synthesis, Characterization and Antibacterial Study of Some Novel Schiff's Bases, Thaizolidinone and Chalcone Compounds Derived from Mefenamic Acid

This work involves synthesis of some new heterocyclic compounds including thaizolidinone compounds. The new Schiff bases derived from mefenamic acid, which was synthesized by microwave irradiation of mefenamic acid with hydrazine hydrate in absolute ethanol and this amino compound condensation with different aromatic aldehydes in absolute ethanol. Thaizolidinone compounds were synthesized by cycloaddition reaction of mercapto acetic acid to imine group of Schiff bases in dry benzene. The new chalcone derivatives synthesized by the reaction aldehyde with their compounds.  M.P., TLC, CHN, UV, FTIR and NMR spectroscopy has characterized all the synthesized compounds. The biological screening data of the synthesized compounds were also studied. Keywords: Schiff bases, thaizolidinone, chalcone, antibacterial