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    Text Mining for Customer Feedback Analysis: Case Study of Furniture Companies

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    In this study, customer complaints from three different competing furniture companies were analyzed using text mining methods with Python programming. The aim of the study is to process unstructured linguistic data using natural language processing (NLP) techniques to correlate complaints with call types. In this context, a total of 9,930 complaints obtained from three different furniture companies between 2022 and 2023 underwent preprocessing, NLP, topic modeling, and classification processes. The data processed in preprocessing and NLP steps were grouped into four main topics using Non-Negative Matrix Factorization (NMF), an effective method for extracting meaningful topics from large and complex datasets. The results provided important insights into areas where furniture companies experience customer dissatisfaction and the specific issues that complaints focus on. Identified topics were evaluated for their alignment with call types identified by customer representatives using topic modeling techniques. Finally, the identified topics were designated as target variables for each complaint and classified using various classification algorithms to create a call assignment model. When comparing the performance of classification algorithms in this model, Support Vector Machine (SVM) was identified as the algorithm with the highest accuracy

    MXene (Ti3C2) an Effective Adsorbent for Micro Solid Phase Extraction of Trace Lead from Water and Tobacco Samples

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    A micro-solid-phase extraction (μSPE) method has been proposed for the separation-preconcentration of lead on MXene (Ti3C2), prior to its high-resolution continuum source flame atomic absorption spectrometry (HR-CS-FAAS) detection. MXene was produced and characterized with a variety of methods, including Fourier-transform infrared spectroscopy (FTIR), field emission scanning electron microscopy (FE-SEM), scanning transmission electron microscopy (STEM), and X-ray diffraction. To optimize a variety of factors, including pH, eluent type, MXene quantity, and contact duration "one-factor-at-a-time" method was used. The MX-μSPE process included dispersing the MXene in the sample solution and then separating it from the matrix. The improved technique has limit of detection (LOD) of 0.5 µg L−1, and a preconcentration factor of 20. Two different certified reference materials were used to verify the accuracy of the proposed procedure. The procedure was applied to determination of lead contents of water and tobacco samples

    Differential expression of VGLUT1, GAD65, GAD67, and MAP2 in the retina of hibernating Anatolian ground squirrel<i> (Spermophilus</i><i> xanthoprymnus)</i>

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    The Anatolian ground squirrel (Spermophilus xanthoprymnus) offers a valuable model for investigating neuroadaptive processes in the retina during hibernation. This study aimed to assess the expression of vesicular glutamate transporter 1 (VGLUT1), glutamic acid decarboxylase (GAD) isoforms GAD65 and GAD67, and microtubule-associated protein 2 (MAP2) in the retina during pre-hibernation and hibernation states. Retinal tissues were analyzed using immunohistochemistry and densitometric quantification. VGLUT1 expression remained stable in the outer plexiform layer (OPL) but was significantly reduced in the inner plexiform layer (IPL) during hibernation, indicating a selective downregulation of excitatory transmission between bipolar and ganglion cells. GAD65 showed widespread distribution across retinal synaptic layers and optic fibers in pre-hibernation but declined markedly during hibernation, consistent with reduced activity-dependent GABAergic signaling. In contrast, GAD67 immunoreactivity increased in the inner nuclear layer, suggesting a shift toward sustained basal inhibitory tone that may support synaptic stability during metabolic suppression. MAP2 immunoreactivity increased in the inner nuclear layer (INL) and outer plexiform layer (OPL) but decreased in the photoreceptor layer (PRL) during hibernation. This shift in distribution suggests cytoskeletal reorganization in second-order neurons and reduced physiological activity in photoreceptor terminals under metabolic suppression. Together, the modulation of excitatory (VGLUT1), inhibitory (GAD65/67), and cytoskeletal (MAP2) markers suggest that the hibernating retina undergoes structural and functional adaptations aimed at preserving neural circuitry under metabolic suppression

    Recent advances in the synthesis and applications of metal selenides (MSs) and their composites for toxic pollutants analyses: A review on sensing, solid phase extraction, and environmental remediation

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    Metal selenides are an emerging materials framework characterized by their visible-light reactivity, high electrical conductivity, and chemically versatile surfaces, which position them for end-to-end environmental solutions, from ultrasensitive detection to selective preconcentration and efficient removal/degradation of pollutants. This review connects synthesis–structure–function by surveying hydro/solvothermal, microwave, mechanochemical, and templated routes and shows how morphology control, defect engineering, doping, and heterojunction design tune charge transport and active sites. We map these levers to applications: (i) Sensing, including room-temperature, low-power MS sensors and MS–carbon hybrids; (ii) Solid-phase extraction (SPE), MSs and their composites enabling high recoveries in complex matrices; and (iii) Remediation, including photocatalytic and pathways that degrade dyes, pharmaceuticals, and antibiotics under visible light. We summarized comparative performance (limits of detection, linear ranges, adsorption capacities, kinetics) and discussed scalability, stability, and regeneration. We outline design rules, such as defect-guided charge transport, core–shell protection, conductive supports, and membrane/foam immobilization, to convert MSs into deployable sensors, field-ready SPE adsorbents, and solar-driven reactors for sustainable water, soil, and air applications

    Oxidative Stress-Related HDL Dysfunction in Hemodialysis: The Clinical Utility of MPO/PON1 and MPO/HDL-C Ratios in Cardiovascular Risk Assessment

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    Introduction: Oxidative stress (OS), inflammation, and lipoprotein dysfunction contribute to the high cardiovascular disease (CVD) risk in chronic kidney disease (CKD) patients undergoing hemodialysis (HD). This study examined whether OS-related biomarkers—myeloperoxidase (MPO), paraoxonase-1 (PON1), and homocysteine (HCY)—and their derived ratios (MPO/PON1, MPO/HDL-C, PON1/HDL-C) are associated with cardiovascular risk. Methods: A case–control study was conducted including 42 HD patients and 42 matched healthy controls. Plasma HCY levels, MPO activity, and PON1 activity were measured, along with lipid profiles. Functional OS ratios were calculated. Results: HD patients showed higher MPO activity and HCY levels and lower PON1 activity compared with controls (p < 0.001). MPO/PON1 and MPO/HDL-C ratios were significantly elevated before and after dialysis, indicating increased oxidative imbalance. Conclusion: The MPO/PON1 ratio may represent a novel biomarker of OS and CVD risk in HD patients, supporting the evaluation of HDL functionality for improved risk stratification

    Behaviors of the double-periodic soliton and breather wave solutions for a fractional thermophoretic motion equation via the graphene sheets in wave motions

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    KABUL EDİLDİ.We focus our attention on some solitonic phenomena in the substrate-supported graphene sheetsby learning the solitons of a fractional thermophoretic motion equation, which has been extractedfrom the wrinkle wave motions. By utilizing the analytical technique and selecting suitably theHirota bilinear method involved in the nonlinear ODE form, new analytic solutions are attained.To investigate the fractional solutions the generalized fractional derivative is used. Breather wavesolutions and double periodic-soliton solutions are studied with the usage of symbolic computation.A collection of comprehensive soliton structures are developed to study the dynamics of the governingmodel with the aid of some efficient analytical strategies. Through three-dimensional graph, densitygraph, and two-dimensional graph to investigate the breather wave (BW) and double periodicsoliton (DPS) solutions are presented. As a result, the numerous classifications of both BW andDPS solutions to the studied issues are found. The modified extended mapping method is usedto obtain different types of solutions including soliton, bright soliton, dark soliton, kink, periodicna dother solutions. An important property of dispersive solitons is their ability to interact withother solitons. When two or more solitons interact, they can either combine to form a new solitonor repel each other and maintain their individual shapes. The appropriateness and viability of theobtained arrangements is detailed through the reenactment comes about within the shape of 3-D,density, and 2-D charts. This property allows for the creation of complex wave patterns and the&nbsp;manipulation of light in a variety of ways. These solitons have been extensively studied in variousphysical systems, including optics, hydrodynamics, and plasma physics.</p

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