Enterococci are a significant cause of hospital-acquired infections and have emerged as a global public health issue. This study aimed to assess the prevalence and characteristics of Enterococcus faecalis in local clinical samples, as well as to examine their biofilm-forming potential and antibiotic susceptibility profiles. Samples were collected from Medical City Hospitals in Baghdad city from November 2023 to February 2024. E. faecalis bacterium was isolated and identified from 120 clinical samples (tooth canal, blood, tissue and urine samples) through biochemical tests, with confirmation using Vitek 2 system. The total percentage of isolation for E. faecalis was 54.16% where 16.7% of tooth root canal and 50%

Hypothyroidism, the most common clinical condition associated with thyroid hormone deficiency, can pose significant health risks. Adipokines, such as resistin and adiponectin, are hormones secreted by adipose tissue. Research has shown that lipid profiles and adipokine levels are altered in individuals with thyroid dysfunction. The aim of this study was to evaluate serum levels of adiponectin and resistin in Iraqi women newly diagnosed with hypothyroidism and to investigate the relationship between such levels of thyroid hormones and lipid profile. The study included one hundred women in the age 20-50 years old. They were split into two groups: fifty patients with recently diagnosed hypothyroidism and fifty healthy women who are as co

Ongoing substance abuse poses substantial public health concerns, primarily due to its wide-ranging impact on physiological processes. This study investigates the biochemical and hematological alterations associated with long-term drug abuse and seeks to elucidate the broader physiological consequences for both clinical assessment and public health planning. In the present case-control study, 100 male participants were divided into 60 drug abusers and 40 non-abusers. Thyroid hormones, liver enzymes, kidney function tests, and hematological tests like CBC (complete blood count) were analyzed in blood samples. There were notable differences between the groups; drug abusers showed higher serum levels of T4, urea, ALP, alanine transamina

This study aimed to elucidate the roles of heparin, adenosine, N-cadherin, and β-catenin in cancer, with the ultimate goal of identifying a novel therapeutic target that can be combined with chemotherapy to enhance the host immune response against cancer. A pilot study was conducted in the main medical hospital in Baghdad (medical city-oncology teaching hospital). A total of 60 blood samples were collected from women with breast cancer aged 25-65 years, along with 30 blood samples from apparently healthy women aged matched with patients. The samples were divided into three groups: 30 newly diagnosed patients untreated breast cancer, 30 patients undergoing chemotherapy (Adriamycin + cyclophoshomide), and 30 health control individuals. Th

  In this paper, we explore the geometric properties and tensor components of C₅ ⊕ C₁₂ -manifolds. Firstly, we established the characteristics identity of this class on G-structure adjoined space and found the equivalent conditions for the defining condition of the class in terms of Kirichenko’s tensors. Furthermore, the Cartan structure equations, components of the Riemannian curvature tensor, and the Ricci tensor are derived of this class. Finally, we introduced the appropriate conditions for these manifolds to be Einstein manifolds.

Indonesia is a country rich in natural resources, one of which is gold deposits scattered across several locations, including the islands of Sumatra, Java, Sulawesi, Maluku, Nusa Tenggara and Papua.  This study aims to (1) determine the type of alteration contained in the research area based on the altered mineral set resulting from the alteration process and the characteristics of gold deposits in metamorphic rocks in the study area, (2) determine the mineralisation characteristics of gold deposits by conducting geochemical analysis, (3) determine the type of metamorphic facies in host-rocks Gold deposits in the research area, (4) explain how the distribution of gold content from the results of geochemical analysis, (5) explain the gen

The SARS-CoV-2 pandemic has severely affected worldwide health, but the prediction of patient mortality remains difficult to achieve accurately. Current predictive methods mainly concentrate on clinical condition measurements without a complete view of death predictions. This research fills the void between advanced modelling through XGBoost and Recurrent Neural Networks (RNNs) for improved COVID-19 mortality prediction analysis. We applied a systematic four-phase approach to collect data from the "COVID-19 Symptoms Dataset containing symptoms and death cases as well as mortality rates and confirmed cases, " prior to data processing and analysis stages, including cleaning, visualization and feature analysis, followed by the implementatio

 In this study, silica gel (SG) derived from steel slag (SS) was utilized as an adsorbent for the removal process of lead, nickel and cadmium, both individually and in combination. Experimental results demonstrated that steel slag was successfully converted into silica gel by chemical and thermal treatments, yielding a material composed of 95.61% silica with a specific surface area of 472.38 m²/g. Monitoring of adsorption processes highlighted the considerable impact of contact time, pH, temperature, stirring speed, and initial concentration on these processes. The amounts absorbed after 50 minutes of contact for lead, nickel, and cadmium were 144.74, 133.14 and 126.89 mg/g. However, for the mixture, it had reached 119.12 mg/

Query optimization in relational databases is a costly process, and the number of different permutations of link operations for a query grows exponentially as the number of tables in the query increases. Current query optimization techniques are unsuitable for use in cases where the number of database tables and the number of rows in each table are large. On the other hand, the key to the success of a database system is the efficiency of its query model. Therefore, this research proposes a method for optimizing query execution by rearranging query structures.

Due to the increasing importance of reducing the execution time of the optimal design in the connection operation with a large number of tables and minimizing the execution t

The author's previous covered the concept of fuzzy normed linear space into hesitant fuzzy normed linear space. This work introduces hesitant fuzzy n-normed linear space as a generalization of n-normed space in addition to the generic t-norm, which is the major objective, and provides an expanding family of S*-n-norms that correspond to fuzzy n-norms. The decomposition theorem of a hesitant fuzzy norm into a set of crisp norms has been proven to fail when a t-norm other than "min" is used. This paper also addresses essential conclusions for fuzzy normed linear spaces of limited dimensions within a broad t-norm framework.

Unplanned residential expansion into agricultural areas has been driven by factors like population growth, internal displacement, and expensive housing options. This article presents the Baghdad Houses detection dataset. The dataset includes 1627 manually annotated images of the Dorra area in Baghdad, along with bounding box annotations that define houses in the satellite image. This dataset will be used by deep learning algorithms to understand and analyze human population expansion by detecting the spread of houses in the newly developed area in the boundaries of Baghdad (object detection). After the training and evaluation process, the chosen algorithms were able to detect houses and visualize residential expansion with a reasonable d

Lagrange points are points where the gravity of two large celestial bodies does not affect a third body, usually smaller, making its motion follow the motion of the two large bodies. There are five points relative to the Earth, the Sun, and any third body, such as a satellite or a spacecraft. Three essential points are usually symbolized as L1, L2, and L3. This research aims to calculate the best date in 2025 for the satellite to transition from the GTO orbit to the L2 Lagrange point, another transition station to transfer the satellite from (L2) to the Mars orbit. A program was designed in MATLAB to calculate the best date 2025 for the satellite to transition from the Geosynchronous Transfer Orbit (GTO) to the L2 Lagrange point during a

In the present work, by employing the differential subordination notion and Darweesh-Atshan-Battor operator, we investigate third-order of sandwich-type theorems for the p-valent of analytic functions.

Soliton generation in microresonator is studied numerically using the Lugiato-Lefever equation (LLE). Optically induced effects, duration, and shape are studied via the adaptive split-step Fourier method (SSFM). It investigates how the microresonator affects the evolution of the optical field in cases of nonlinearity, dispersion, slow time, and fast time. A study is done on the optical frequency comb produced and the frequency domain dynamics of the microresonator. The generated soliton wave was a dispersive soliton. The study shows that the soliton generation and its properties depend strongly on the parameters included in this study.

Schiff bases and their metal complexes have been found to exhibit high catalytic activity in a wide range of organic reactions, and their stability in the presence of moisture and high temperatures makes them particularly useful as catalysts in reactions that require elevated temperatures. In this study, new Schiff base (L) 2-((3-nitrophenylimino) methyl) phenol and new copper (II) and cobalt (II) complexes were synthesized from 3-nitrophenylamine with salicylaldehyde. The complexes were prepared by weighing the metal chloride and dissolved in methanol. The synthesised samples were characterized by FT-IR, UV-vis, SEM, and EDX and tested for catalytic activity as homogenous catalysts for esterification reactions. The free ligand's υ(C=N)

The ligand 4-formyl-2-methoxyphenyl dihydrogen borate (L) was synthesized through a 1:1 molar reaction between vanillin and boric acid. Additionally, the synthesis of metal complexes of L with Co(II), Ni(II), and Cu(II) was also described. All the synthesized compounds were described using spectroscopic methods like that FT-IR, ¹H NMR, UV-VIS. Also thermal analysis (TG),atomic absorption (AAS), elemental microanalysis (C.H.N), melting point (m.p.), magnetic susceptibility, molar conductivity and chloride measurements. The experiments determined that all the complexes were non-ionic compounds that did not dissociate into ions in solution. Additionally, the proposed molecular structures of these complexes were found to be octahe

In this work, metal oxides [Y₂O₃\La₂O₃] nanoparticles were synthesized using a green method with ashwagandha extract, which served as a reducing agent. This extract also catalyzed the polymerization of poly methylmetha acrylate, resulting in the formation of nanocomposites [PMMA\Y₂O₃\La₂O₃]. The morphology, size, and structures of the synthesized nanocomposites were determined and characterized using thermogravimetric analysis (TGA), x-ray diffraction (XRD), differential scanning calorimetry (DSC) analysis, and field emission scanning electron microscopy (FESEM), tested by antioxidant activity and antibacterial activity. To confirm the design of nanoc

In this study, compound [A], an oxime derivative, was synthesized through the reaction of 4-aminoacetophenone with hydroxylamine hydrochloride, using sodium acetate as a catalyst. Subsequently, Schiff bases [A1-A3] were prepared by reacting compound [A] with various aromatic aldehydes in the presence of glacial acetic acid. Acid derivatives containing oxazolidinone ring [A4- A6] were synthesized from the reaction of Schiff bases [A1- A3] with chloroacetic acid. The resulting compounds [A4-A6] reacted with thionyl chloride to produce the corresponding acid chloride [A7-A9]. Polyesters [A10-A12] were produced by reacting polyvinyl alcohol with compounds [A7-A9]. All prepared compounds were characterized using infrared spectroscopy FTIR and

Increasing the exposure time of radio wave radiation to human tissues is an important factor affecting the SAR (the specific absorption rate) values. This leads to the question of whether overlapping or interfering with electromagnetic waves has a negative impact on our health. Specific absorption rates (SAR) were calculated for the multilayered model of a human head model through different exposure times (30 min, 45 min, 1 hour, 1.5 hours, and 2 hours) at radio wave frequencies of 0.9 GHz and 1.8 GHz emitted from the mobile phones with planer inverted-F antenna (PIFA) and planar monopole antenna. The electromagnetic wave equation was solved using the Finite-Difference Time-Domain Method (FDTD). Different physical phenomena (penetration

This research explores advanced methodologies in restaurant sales forecasting, focusing on a dataset from a Middle Eastern-based chain. It integrates machine learning algorithms and recurrent neural networks (RNN), including ARIMA, SARIMA, and LSTM models, to predict future sales trends accurately. Initial analysis includes various regression models to identify optimal sales prediction models, with Random Forest emerging as the top performer with an r2_score of 0.999895. The study emphasizes the importance of accurate sales forecasting in optimizing resource allocation, inventory management, and strategic decision-making for restaurant operations. Data preprocessing techniques such as missing value handling and feature selection ensure r

The objective of this study is to examine the impact of the administration of levothyroxine (T4), insulin-like growth factor-1, zinc, selenium, and vitamin B12 for 2 months to methimazole-induced hypothyroid adult male Wistar albino eight-week-old rats weighing 180–250 gm were bought from the Ilam Lab of Animals and n=8 was for each group. The thyroid hormones, thyroid stimulating hormone, and ultrastructure of follicular cells by transmission electron microscope were compared between the control group and 7 groups of hypothyroid rats treated with T4, insulin-like growth factor-1, T4 + insulin-like growth factor-1, T4+zinc, T4+selenium, T4+ selenium, and T4+zinc +selenium + vitamin B12, respectively. The hypothyroid rats displayed a si

Klebsiella pneumoniae is a notorious pathogenic bacterium, armed with multiple virulence factors, and is commonly associated with pneumonia infections. One of the virulence factors helps K. pneumonia to cause many diseases and escape immune system and antimicrobial effect is biofilm construction. Therefore, the overall aim was to investigate the genic profile for K. pneumonia that formed and non-formed biofilm. The result revealed that around half of the isolates did not form biofilm and this may because luxS gene was present in only two isolates forming biofilm and absent in others while fimH genes were absent in all other isolates. K. pneumonia isolates were sensitive to green tea,

In recent years, the graph-based approach has become increasingly popular for modeling real-world data because graphs represent a wide variety of data, such as social networks and trajectory mining. In this paper, we propose a Weighted Adjacency Matrix (WAM) for constructing a graph based on edges from the features of each trajectory and a vertex from the frame number. In trajectory mining, finding objects that have similar patterns of motion is a common data analysis; thus, selecting effective algorithms is necessary for grouping information and showing trajectories as graphs. A new algorithm is proposed to calculate Graph Trajectory Similarity (GTS) between two trajectories of graphs, the Nodes Similarity Function (NSF). The NSF is int

    Bacillariophytes or well known as Diatoms, are single-celled microalgae, identified by their unique characteristic siliceous cell walls, which are well preserved in sediment as a microfossil. Diatom abundance represented the environmental condition when they lived. Balekambang Lake is one of many small lakes in Dieng; it has a unique characteristic: floating soil. The problem in  Baekambang Lake is the shrinkage part of the lake area due to the sedimentation rate form the hill around with potato farming. This study aims to analyse the community of surface diatoms and water quality of Balekambang Lake, Dieng. The surface sediment samples were collected from five different sites; then, the digestion, preparation, an

Automated software defect prediction (ASDP) is a fundamental and vital action in the software progress domain. Nevertheless, software as a contemporary system is integrally huge and complex, with several associated metrics that capture diverse aspects of software components. Such a huge associated metrics number renders building a Software Defect (SD) prediction (SDP) model so complex. Therefore, selecting and identifying a metrics subset that enhances the SDP performance of the method is imperative. The chief goal of the current work is to build an ASDP (SDP) tool and assess its performance. The SDP tool calculates significant software (CK) metrics that measure code characteristics, for evaluating software quality and anticipating issue

The Internet of Things (IoT) is an innovative trend that promotes technological and industrial advancements. As IoT networks expand, RPL (Routing Protocol for Low-Power and Lossy Networks) becomes crucial for efficient routing but is susceptible to a number of security threats and attacks. The DIS (DODAG Information Solicitation) flooding attack is one such attack that compromises network performance. This paper introduces DISTec, a novel technique designed to detect and mitigate DIS flooding attacks in RPL-based IoT networks. DISTec employs an n x m matrix to track DIS message frequencies from nodes, analyzing deviations during the DIS_INTERVAL to identify potential attackers. The Contiki OS Cooja Simulator implemented DISTec on a netwo