bluuebunny/crossref_metadata_2025 huggingface dataset:
Correlation energy of weakly interacting Fermi gases
Authors: Schlein Benjamin
Published: June 2023

In this paper, based on [N. Benedikter, P. T. Nam, M. Porta, B. Schlein and R. Seiringer. Optimal upper bound for the correlation energy of a Fermi gas in the mean-field regime, Commun. Math. Phys. 374(3) (2020) 2097–2150; N. Benedikter, P. T. Nam, M. Porta, B. Schlein and R. Seiringer, Correlation energy of a weakly interacting Fermi gas, Invent. Math. 225(3) (2021) 885–979; N. Benedikter, M. Porta, B. Schlein and R. Seiringer, Correlation energy of a weakly interacting Fermi gas with large interaction potential, preprint (2021), arXiv:2106.13185], we present a recent estimate for the correlation energy of a Fermi gas in the so-called mean-field regime and we outline some of the main ideas of its proof.
Classification of Epileptic and Psychogenic Nonepileptic Seizures via Time–Frequency Features of EEG Data
Authors: Karabiber Cura Ozlem , Akan Aydin , Sabiha Ture Hatice
Published: June 2023

The majority of psychogenic nonepileptic seizures (PNESs) are brought on by psychogenic causes, but because their symptoms resemble those of epilepsy, they are frequently misdiagnosed. Although EEG signals are normal in PNES cases, electroencephalography (EEG) recordings alone are not sufficient to identify the illness. Hence, accurate diagnosis and effective treatment depend on long-term video EEG data and a complete patient history. Video EEG setup, however, is more expensive than using standard EEG equipment. To distinguish PNES signals from conventional epileptic seizure (ES) signals, it is crucial to develop methods solely based on EEG recordings. The proposed study presents a technique utilizing short-term EEG data for the classification of inter-PNES, PNES, and ES segments using time–frequency methods such as the Continuous Wavelet transform (CWT), Short-Time Fourier transform (STFT), CWT-based synchrosqueezed transform (WSST), and STFT-based SST (FSST), which provide high-resolution time–frequency representations (TFRs). TFRs of EEG segments are utilized to generate 13 joint TF (J-TF)-based features, four gray-level co-occurrence matrix (GLCM)-based features, and 16 higher-order joint TF moment (HOJ-Mom)-based features. These features are then employed in the classification procedure. Both three-class (inter-PNES versus PNES versus ES: ACC: 80.9%, SEN: 81.8%, and PRE: 84.7%) and two-class (Inter-PNES versus PNES: ACC: 88.2%, SEN: 87.2%, and PRE: 86.1%; PNES versus ES: ACC: 98.5%, SEN: 99.3%, and PRE: 98.9%) classification algorithms performed well, according to the experimental results. The STFT and FSST strategies surpass the CWT and WSST strategies in terms of classification accuracy, sensitivity, and precision. Moreover, the J-TF-based feature sets often perform better than the other two.
An algebraic approach for the Dunkl–Killingbeck problem from the bi-confluent Heun equation
Authors: Rahmani S. , Panahi H. , Najafizade A.
Published: June 2023

In this paper, we study the Dunkl–Killingbeck problem in two dimensions. We apply the Lie algebraic approach within the framework of quasi-exact solvability to the radial part of the Dunkl–Killingbeck problem to find the general exact expressions for the energies and corresponding wave functions. The allowed values of the potential parameters are the representation space of sl(2) Lie algebra. In addition, we discuss that the effective potential of the Dunkl–Killingbeck is the same as the obtained from the bi-confluent Heun equation by a suitable variable transformation. Following earlier results, we follow the explicit solutions of this differential equation expressed as a series expansion of Hermite functions and obtain the expansion coefficients from a three-term recurrence relation. In the sequel, we present that this construction leads to the known quasi-exactly solvable (QES) form of the Dunkl–Killingbeck problem. Therefore, we find that the expressions for the energy eigenvalues and wave functions of the corresponding potential term are in agreement with those from the QES formalism. Then, we derive the ladder operators for the Dunkl–Killingbeck problem within the algebraic approach. It seems that this method is the Dunkl–Killingbeck rotation problem solved by operators of the su[Formula: see text] Lie algebra in a specific way.
Endurance Behavior of Z-Shaped Charge Plasma Tunnel FET for Biosensing Application
Authors: Singh Ragini , Naugarhiya Alok , Mishra Guru Prasad
Published: June 2023

The tunneling field effect transistor (TFET) is a viable candidate for designing a highly sensitive biosensor. In this work, a doping-less Z-shaped dielectrically modulated charge plasma TFET (CPTFET) structure with misaligned cavity region on channel and source has been proposed for label-free biosensing applications. To design the device, charge plasma technique has been employed, where appropriate metal workfunction is used over intrinsic silicon to create n[Formula: see text] drain and p[Formula: see text]source regions. The charge plasma approach reduces thermal budget, random dopant fluctuation (RDF) and steps required for fabrication. The Z-shaped CPTFET includes the advantage of abrupt profile of doping at source-channel (tunneling) junction. Because cavities are created in source and gate oxide region, the abrupt doping profile suppresses ambipolar behavior and improves sensitivity. The performance of the proposed device for both charged and neutral biomolecules in terms of electric field, band energy, transfer characteristics, [Formula: see text] ratio and subthreshold swing (SS) has been examined. The response of other parameters like cavity thickness and cavity length on ON current has been analyzed using the Silvaco ATLAS device simulator.
Dynamic dark energy from the local limit of nonlocal gravity
Authors: Tabatabaei Javad , Banihashemi Abdolali , Baghram Shant , Mashhoon Bahram
Published: June 2023

Nonlocal gravity (NLG), a classical extension of Einstein’s theory of gravitation, has been studied mainly in linearized form. In particular, nonlinearities have thus far prevented the treatment of cosmological models in NLG. In this essay, we discuss the local limit of NLG and apply this limit to the expanding homogenous and isotropic universe. The theory only allows spatially flat cosmological models; furthermore, de Sitter spacetime is forbidden. The components of the model will have different dynamics with respect to cosmic time as compared to the standard [Formula: see text]CDM model; specifically, instead of the cosmological constant, the modified flat model of cosmology involves a dynamic dark energy component in order to account for the accelerated phase of the expansion of the universe.
OPTIMIZATION ENABLED DEEP LEARNING FOR STROKE DISEASE PREDICTION FROM MULTIMODALITIES
Authors: SARANYA K. , SUMATHI S.
Published: June 2023

Stroke is a disease that is caused due to the blockage and burst in the blood vessels of the brain, thus resulting in abrupt brain dysfunction, like sensory or motor disorders, unconsciousness, limb paralysis, and pronunciation disorders. The existing stroke prediction algorithms have some limitations because of the lengthy testing procedures and hefty testing expenses. The main goal of this study is to develop and implement the proposed fusion-based, optimized deep learning model for stroke disease prediction using multimodalities. For that, this research considers the Computed Tomography (CT) and electroencephalogram (EEG) signals as input, and all of these inputs are processed separately to predict the stroke disease. While predicting the stroke disease with a CT image, the bilateral filter performs the pre-processing and the disease prediction is done with the DenseNet model, which is tuned by the proposed Jaya Fractional Reptile Search Algorithm (Jaya FRSA). Similar to how the proposed FRSA does CNN-LSTM training, the Convolutional Neural Network-Long Short Term Memory (CNN-LSTM) predicts the stroke disease using the EEG data as an input after the Gaussian filter removes signal noise. Additionally, the CT image and the EEG signal are processed independently from the image and signal properties. Additionally, the CNN-LSTM model and DenseNet model results are combined using the overlap coefficient to get the final disease prediction. According to the experimental study, the suggested method achieved the maximum image accuracy, sensitivity, and specificity of 0.924, 0.930, and 0.935.
NiO Nanoparticles Prepared by PLAL: Evaluation of Their Anti-Proliferative Activity Against Pancreatic Cancer Cells
Authors: Mazhir Sabah N. , Abbas Huda H.
Published: June 2023

In this study, a pulsed laser ablation was used to process and produce NiO NPs nanoparticles in deionized water. It was prepared using nickel pellets placed in deionized water at room temperature and using an Nd:YAG laser with a high wavelength of 1064[Formula: see text]nm and 500[Formula: see text]mJ at different frequencies (4, 6, 8)[Formula: see text]Hz. The concentrations of the prepared substance were measured. The concentrations of these particles were then measured. X-ray diffraction was used to study their structures (XRD). Scanning electron microscopy (SEM) and EDX were used to examine the samples. A PL spectra assay was performed to calculate the optical power gap. To find out the efficacy of the prepared nanomaterial, we test its cytotoxicity, as the test was performed on normal cell line (HdFn) and the human pancreatic cancer line (Capan-2). The percentage of cytotoxicity was calculated after 24[Formula: see text]h of exposure. We conclude that the compound has the potential to be a good anti-cancer.
Čech L-Fuzzy Rough Proximity Spaces
Authors: Kumar Virendra , Tiwari Surabhi
Published: June 2023

In order to define the concept of nearness between [Formula: see text]-fuzzy rough sets, we introduce the concept of Čech [Formula: see text]-fuzzy rough proximity spaces. On this new nearness structure, we prove some basic topological results. To support the proposed approach, examples are given. Further, we introduce [Formula: see text]-fuzzy rough grills, [Formula: see text]-fuzzy rough filters and [Formula: see text]-fuzzy rough clusters and on Čech [Formula: see text]-fuzzy rough proximity spaces, and find the relationship between them.
Complex symmetry of differential operators on generalized Fock spaces
Authors: Gupta Anuradha , Singh Deepika
Published: June 2023

In this paper, we classify the family of entire functions [Formula: see text] such that the induced weighted composition map [Formula: see text], is a conjugation namely [Formula: see text], where [Formula: see text] is an arbitrary complex number and [Formula: see text] is a real number such that [Formula: see text]. In the last section, we characterize the [Formula: see text]-symmetric maximal differential operators on the Fock space [Formula: see text].
A note on maximal non-λ-rings
Authors: Kumar Rahul , Singh Anant , Gaur Atul
Published: June 2023

Let [Formula: see text] denote the set of all rings [Formula: see text] such that [Formula: see text] is a divided prime ideal with [Formula: see text]. We study the concept of maximal non-[Formula: see text]-rings in class [Formula: see text] and generalize the results of maximal non-[Formula: see text]-domains.
The Hilbert–Schmidt property for semiclassical Fourier integral operators with operator symbol
Authors: Aid Omar Farouk , Senoussaoui Abderrahmane
Published: June 2023

In this paper, we define a particular class of semiclassical Fourier integral operators with operator symbol ([Formula: see text]-FIOs for short). We study the [Formula: see text]-boundedness and [Formula: see text]-compactness of [Formula: see text]-FIOs. Mainly, we prove that class of [Formula: see text]-FIOs denotes Hilbert–Schmidt operators if the order function belongs to [Formula: see text].
The Rationality of Oaths in Armed Struggle: A Dynamic Model of Commitment and the Mau Mau Insurgency (1952–1956)
Authors: Hsiao Yuan , Pfaff Steven
Published: June 2023

In this paper, we develop the rationality of oath giving and the socially functional role that oaths can play in securing the commitment of members of conflict groups. Oaths are a reoccurring feature of insurgencies, armed struggles, and revolutionary movements. Oaths grow out of a general set of cultural practices that leverage superstitious beliefs to perform socially valuable functions and to produce normative conformity within groups. Applied to insurgencies, we argue that swearing oaths can motivate and sustain commitment to a cause. We apply our theory to the case of the Mau Mau rebellion in which oaths played a conspicuous role. Originally carrying religious meaning among Kenyan tribes, Mau Mau leaders repurpose oathings to enhance commitment. In its repurposed form, oathing incentives relied less on supernatural sanctions and more on credibly threatening defectors with physical in-group and out-group punishment. The Mau Mau highlights how an old cultural form can be used to ground innovations and how superstition-based practices that confer group benefits might continue to do so by permitting the creation of worldly incentives even after (or when) the superstition is stripped from them.
PRODUCT DEVELOPMENT AND CUSTOMER LOYALTY: THE MEDIATING ROLE OF VISUAL BRANDING
Authors: KANKAM GEORGE , ARYEETEY HENRY OKAI , ADUBAH DANIEL ATO
Published: June 2023

This paper brings to light the powerful connection of visual branding of a product leading to customer loyalty. Thus, the visual impact of a product from the concept level, early sketches to trademarked logos, complements of branding approach, or the final endorsement level. The study relied on a survey that had 150 respondents as the sample. Purposive sampling and simple random sample procedures were used to select Nestle-limited graphic designers and customers. We show visual branding acts as a mediator between product development and customer loyalty. A survey is distributed to graphic designers of Nestle Limited in the manufacturing sector to collect empirical data. Confirmatory factor analysis and structural equation modeling (CB-SEM) are used to analyze the data. The data was gathered using a standardized inquiry form specifically a five-point Likert scale. The results show that graphic designers contribute to product development leading to customer loyalty. We demonstrate that there is a partial mediating effect between product development and customer loyalty through visual branding. The main goal is to ensure graphic designers use visual branding to communicate reliable information to customers through drawing, color, shape, and design of a product, which would boost overall product performance, leading to customer loyalty.
Mathematical Model to Study the Squeeze Film Characteristics of Diseased Human Synovial Knee Joint
Authors: Sadique Mo , Shah Sapna Ratan
Published: June 2023

Synovial fluid functions as a biological lubricant and lubricates articular cartilage to reduce friction and wear. Lubricin and hyaluronic acid are the primary components of synovial fluid responsible for its lubricating properties. The loss of properties in synovial fluid and articular cartilage due to aging and activities can restrict mobility in synovial joints, resulting in the degradation of articular cartilage and ultimately leading to pathological synovial joints, which is a major cause of disability. Thus, research on synovial joints remains crucial, and despite previous investigations on synovial joint lubrication, there are several issues related to squeeze film lubrication that require further attention. The Newtonian model of squeeze film lubrication in synovial joints needs to be extensively studied. In this study, lubrication and other related properties of synovial fluid are studied theoretically. In this paper, we have studied the flow of synovial fluid in the diseased synovial joint. Further, we have studied the effect of the viscosity of the synovial fluid, the permeability of articular cartilage, thickness of articular cartilage, and fluid film thickness on the characteristic of the squeeze film formed between the articular cartilages of the diseased human knee joint. The flow of synovial fluid is modeled by considering it as a viscous, incompressible and Newtonian fluid. We have derived the modified Reynolds equation using the principle of hydrodynamic lubrication and continuum mechanics theory and solved it by applying the suitable boundary conditions according to the physical considerations. Subsequently, we obtained the expression for pressure distribution in fluid film, load-bearing capacity, and squeeze time and have done the theoretical analysis on these properties for different parameters. Pressure increases with squeeze velocity and viscosity of the synovial fluid and decreases with permeability and fluid film thickness. Human knee joint becomes diseased due to excessive pressure, and the mobility of the knee joint decreases. The load capacity increases with viscosity and squeeze velocity and decreases with permeability resulting in the reduction of the load-carrying capacity of the knee joint in diseased conditions. Moreover, the squeeze time also increased in the diseased state of the joint.
Onset Shift of Li Plating on Si/Graphite Anodes with Increasing Si Content
Authors: Flügel Marius , Bolsinger Marius , Marinaro Mario , Knoblauch Volker , Hölzle Markus , Wohlfahrt-Mehrens Margret , Waldmann Thomas
Published: June 2023

Mixing graphite with Si particles in anodes of Li-ion batteries provides increased specific energy. In addition, higher Si contents lead to thinner anode coatings at constant areal capacity. In the present study, we systematically investigated the influence of the Si content on the susceptibility of Li plating on Si/graphite anodes. Si/graphite anodes with Si contents from 0 to 20.8 wt% combined with NMC622 cathodes were manufactured on pilot-scale. After initial characterization in coin half cells and by SEM, pouch full cells with fixed N/P ratios were built. Rate capability at different temperatures, and Post-Mortem analysis were carried out. Results from voltage relaxation, Li stripping, SEM measurements, glow discharge optical emission spectroscopy (GD-OES) depth profiling, and optical microscopy were validated against each other. A decreasing susceptibility to Li plating with increasing Si content in the anodes could be clearly observed. A critical C-rate was defined, at which Li plating was detected for the first time. It was also found that at 0 °C the critical C-rate increases with increasing Si contents. At 23 °C the SOC at which Li dendrites were first observed on the anode also increased with higher Si content.
Analysis of the Abnormality of Traction Energy Consumption in Urban Rail Transit System
Authors: Gao Xinjun , Shi Xuetao
Published: June 2023

Traction energy consumption (TEC) is a critical part of the total energy consumption in urban rail transit (URT) systems. Energy consumption patterns and abnormal analysis of TEC guarantee the energy‐saving URT operation. With the rapid development of urbanization, the current energy consumption is becoming more and more prominent with some inherent drawbacks, such as complex original data, complicated statistical analysis, and abnormal energy consumption. This paper proposes a method for time accrual abnormal analysis of TEC. The system architecture of TEC typical values is presented, composed of three elements: research object, evaluation index, and time scale. The time series prediction algorithm calculates the typical values of the cumulative energy consumption index in each energy consumption mode. For the abnormality in TEC mode, the distance of the string vector is used as the similarity measure. Then, the similarity‐based anomaly analysis method is used to judge the pattern abnormality. By comparing the advantages and disadvantages of engineering practice and theoretical research methods, we analyze the applicability of traditional anomaly detection algorithms to perform anomaly analysis of TEC in URT systems. The adopted time accrual abnormal analysis achieves a high fault detection rate, outperforming other models.
The Report of Lightning in Himalayan Locale
Authors: Adhikari Pitri Bhakta
Published: June 2023

A few normal calamities (disasters) as often as possible happen within the Himalayan locale in Nepal. The height of this locale ranges from 59 m to “8848.86 m” along the range of 160 km. As a result, there is a significant variety of temperatures within the locale. In addition, Nepal includes a heterogeneous geography. All these highlights impact different normal fiascos counting the lightning action. This report points at analyzing the varieties of lightning inside and over a long time from January 2011 to present. For this report, the information was taken from the Disaster Risk Reduction (DRR) portal of the Ministry of Home Affairs (MOHA). The investigation indicated that there was no lightning occasion in November, and the lightning stroke density was higher in the premonsoon period, and the number of harmed individuals was almost three times the number of individuals passing due to the lightning.
Diabetes and Metabolic Disorders: Their Impact on Cardiovascular Events in Liver Transplant Patients
Authors: Di Cola Simone , Cusi Giulia , Lapenna Lucia , Gazda Jakub , Fonte Stefano , Mattana Marco , Mennini Gianluca , Pasqualetti Patrizio , Merli Manuela
Published: June 2023

Cardiovascular diseases are currently one of the most important causes of morbidity and mortality in liver transplant patients over the long term. Therefore, evaluating prognostic factors for cardiovascular events (CVEs) in this population is essential for taking preventive measures. The aim of this study was to identify the impact of diabetes and other metabolic disorders on CVEs in liver transplant patients. Three hundred fifty-six liver transplant recipients who survived at least 6 months after surgery were enrolled. Patients were followed for a median time of 118 months (12–250 months). All cardiovascular events were carefully recorded and detailed in the patients’ charts. Demographic data, diabetes, hypertension, dyslipidemia, weight changes, and a diagnosis of metabolic syndrome both before and after transplantation were noted to assess their possible relationship with CVE. The presence of a diagnosis of metabolic-associated fatty liver disease (MAFLD) was also evaluated. Immunosuppressive therapy was included in the analysis. Diabetes mellitus (DM), especially when present before transplantation, was strongly associated with CVEs (hazard risk HR 3.10; 95% confidence interval CI: 1.60–6.03). Metabolic syndrome was found to be associated with CVEs in univariate analysis (HR 3.24; 95% CI: 1.36–7.8), while pretransplantation and de novo MAFLD were not. Immunosuppressive therapy had no influence on predisposing transplanted patients to CVEs during follow-up. Further prospective studies may be useful in investigating the risk factors for CVEs after liver transplantation and improving the long-term survival of transplant patients.
The Danish Version of the Problem Areas in Diabetes-Teen (PAID-T) Scale: Translation and Linguistic Validation
Authors: Rahbæk Marie Ørts , Jensen Sissel Due , Hansen Karina Kudahl , Sandbæk Annelli , Lund Sten , Andersen Anette
Published: June 2023

Introduction. Diabetes distress is often seen in adolescents with Type 1 diabetes (T1D). Problem Areas in Diabetes (PAID) is the most frequently used scale to assess diabetes distress in clinical settings, but the version for teenagers has not been translated into Danish and validated before now. Objective. This study describes the translation into Danish of the PAID-T scale, which was developed to measure emotional distress in teenagers with diabetes. Materials and Methods. The study was conducted in two phases. First, the PAID-T was translated into Danish based on the guidelines from the International Society for Pharmacoeconomics and Outcome Research and a forwardbackward translation procedure. Second, cognitive interviews were conducted, and the Danish version of the PAID-T was modified to ensure linguistic equivalence with the original scale in English. Results. The Danish version of the PAID-T questionnaire was found to be understandable and relevant for adolescents with T1D. No questions were found to be irrelevant. However, the cognitive interviews showed that the issue of balancing alcohol intake and blood sugar levels was not covered by PAID-T, although this was found relevant in the Danish target group. Conclusion. This study described the translation and linguistic validation of the PAID-T scale into Danish. After modifications based on the feedback from the cognitive interviews, the Danish version was found to be linguistically equivalent to the original English version.
Underwater Shaking-Table Investigation of Complex Deep-Water Pile-Cap Foundation for Xihoumen Rail-cum-Road Bridge
Authors: Wang Lei , Lv Zhong-da , Wang Fei , Zhao Zhuo , Dong Xin-long
Published: June 2023

To study the mechanical characteristics of complex pile-cap foundations and the distribution law of hydrodynamic pressure acting on piles and cap in deep-water environments, the 60 m deep-water pile-cap foundation of Xihoumen rail-cum-road bridge was considered for this investigation. This paper focused on introducing the design and implementation process of simulating an earthquake using an underwater shaking-table test for a 1 : 60 complex pile-cap foundation model and systematically summarizing the test results. The test results showed that water reduced the acceleration of complex pile-cap foundation; however, the strain, displacement, and hydrodynamic pressure increased in varying degrees with water depths, and the maximum strain of the piles increased by 13.8% for the X-direction earthquake excitation and 15.1% for the Y-direction earthquake excitation in 1.0 m water-depth environment. The strain of the corner pile was the largest under earthquake excitation, followed by that of the front-row pile, and the strain of the middle pile was the smallest. When the water depth was 1.0 m, the maximum strain difference of each pile in the X- and Y-directions reached 26.4% and 27.5%, respectively. The hydrodynamic pressure acting on the piles decreased gradually from bottom to top, the edge pile bore more hydrodynamic pressure than the middle pile, and the hydrodynamic pressure difference between the piles reached 20%. Owing to the influence of the round-ended cap, the hydrodynamic pressure suddenly increased at the cap position, and the distribution law of the cap showed a gradually declining trend from front to side; however, the attenuation amplitude was affected by its shape.
Association of Polycyclic Aromatic Hydrocarbons Urine Metabolites with Type 1 Diabetes
Authors: Kelishadi Roya , Hovsepian Silva , Amin Mohammad Mehdi , Mozafarian Nafiseh , Sedaghat Sara , Hashemipour Mahin
Published: June 2023

Purpose. Polycyclic aromatic hydrocarbons (PAHs) are believed to be a possible factor in the development of cancer, ischemic heart disease, obesity, and cardiovascular disease. The objective of this study was to explore the association between certain metabolites of urinary PAH and type 1 diabetes (T1D). Methods. In Isfahan City, a case-control study was carried out involving 147 T1D patients and an equal number of healthy individuals. The study measured the levels of urinary metabolites of PAHs, specifically 1-hydroxynaphthalene, 2-hydroxynaphthalene, and 9-hydroxyphenanthrene, in both the case and control groups. The levels of these metabolites were then compared between the two groups to assess any potential association between the biomarkers and T1D. Results. The mean (SD) age of participants in the case and control groups was 8.4 (3.7) and 8.6 (3.7) years old, respectively, (

P
>
0.05

). In terms of gender distribution, 49.7% and 46% of participants in the case and control groups were girls, respectively (

P
>
0.05

). Geometric mean (95% CI) concentrations were: 36.3 (31.4-42) μg/g creatinine for 1-hydroxynaphthalene, 29.4 (25.6-33.8) μg/g creatinine for 2-hydroxynaphthalene, and 72.26 (63.3-82.5) μg/g creatinine for NAP metabolites. After controlling for variables such as the child’s age, gender, maternal and paternal education, duration of breastfeeding, exposure to household passive smoking, formula feeding, cow’s milk consumption, body mass index (BMI), and five dietary patterns, it was observed that individuals in the highest quartile of 2-hydroxynaphthalene and NAP metabolites had a significantly greater odd ratio for diabetes compared to those in the lowest quartile (

P
<
0.05

). Conclusion. Based on the findings of this study, it is suggested that exposure to PAH might be linked to an increased risk of T1D in children and adolescents. To clarify a potential causal relationship related to these findings, further prospective studies are needed.
Effect of CCR2-V64I on the Susceptibility of Patients to Cancer
Authors: Lu Xue-Jiao , Li Lin , Zhou Xin-Ying
Published: June 2023

Background. Results from the studies investigating the impact of CC chemokine receptor 2 (CCR2) polymorphism on the risk of cancers are diverse. An updated meta-analysis was conducted to access the relationship between cancer risk and CCR2-V64I polymorphism. Methods. We performed a meta-analysis using STATA 11.0 based on a comprehensive retrieval in WanFang Data, PubMed, China National Knowledge Infrastructure, EMBASE, and Web of Science databases up to January 20, 2023. Results. We included 23 studies in our analysis. Overall, we found CCR2-V64I polymorphism was remarkably related to cancer risk (OR = 1.39, 95% CI = 1.14–1.70, and

P
=
0.001

for A vs G; OR = 1.87, 95% CI = 1.30–2.70, and

P
=
0.001

for AA vs GG; OR = 1.35, 95% CI = 1.03–1.78, and

P
=
0.032

for GA vs GG; OR = 1.45, 95% CI = 1.11–1.90, and

P
=
0.006

for AA + GA vs GG; OR = 1.69, 95% CI = 1.20–2.37, and

P
=
0.003

for AA vs GA + GG). In the ethnicity subgroup analysis, the relevancy between CCR2-V64I polymorphism and an increased cancer risk was discovered among Asians (OR = 1.57, 95% CI = 1.30–1.91, and

P
<
0.001

for A vs G; OR = 2.30, 95% CI = 1.64–3.24, and

P
<
0.001

for AA vs GG; OR = 1.35, 95% CI = 1.10–1.67, and

P
=
0.005

for GA vs GG; OR = 1.52, 95% CI = 1.25–1.87, and

P
<
0.001

for AA + GA vs GG; OR = 2.21, 95% CI = 1.58–3.08, and

P
<
0.001

for AA vs GA + GG). In addition, the subgroup analysis in the light of cancer types demonstrated that CCR2-V64I polymorphism was strongly correlated with bladder cancer (OR = 3.04, 95% CI = 1.09–8.45, and

P
=
0.033

for AA vs GG; OR = 2.84, 95% CI = 1.07–7.09, and

P
=
0.035

for AA vs GA + GG) and oral cancer (OR = 1.83, 95% CI = 1.39-2.42, and

P
<
0.001

for A vs G; OR = 2.04, 95% CI = 1.47–2.85, and

P
<
0.001

for GA vs GG; OR = 2.03, 95% CI = 1.48–2.79, and

P
<
0.001

for AA + GA vs GG). Conclusion. The meta-analysis suggested that CCR2-V64I polymorphism might be a high-risk factor for cancers among Asians, especially for bladder and oral cancers.
Necrotizing Pancreatitis Infected with Stenotrophomonas maltophilia: An Emerging Rare Multidrug-Resistant Organism
Authors: Dar Sophia , Merza Nooraldin , Haider Maryam , Zafar Yousaf , Din Noren , Ligresti Rosario , Sebti Rani
Published: June 2023

Stenotrophomonas maltophilia (SM) is a multidrug-resistant, Gram-negative (GN) bacillus that is an increasingly recognized nosocomial and environment pathogen. It is intrinsically resistant to carbapenems, a drug commonly utilized in the management of necrotizing pancreatitis (NP). We report a 21-year-old immunocompetent female with NP complicated by pancreatic fluid collection (PFC) infected with SM. One-third of patients with NP will develop infections by GN bacteria, while broad-spectrum antibiotics, including carbapenems, cover most infections, trimethoprim-sulfamethoxazole (TMP-SMX) is the first-line treatment antibiotic for SM. This case is critical because it highlights a rare pathogen that should be considered a causal pathogen in patients who do not respond to their care plan.
Short-Term Effect of Continuous Subcutaneous Insulin Infusion and Multiple Daily Injection in Perioperative Patients with Type 2 Diabetes Mellitus
Authors: Song Wei , Wen Jianxuan , Zhang Jinming , Luo Meng , Hu Yue , Zhang Yu , Fan Guanjie , Zhao Ling
Published: June 2023

Background. Hyperglycemia is common and difficult to control in perioperative patients with type 2 diabetes mellitus (T2DM), which impacts their prognosis after operation. Our study investigated the short-term effect of continuous subcutaneous insulin infusion (CSII) and multiple daily injection (MDI) in perioperative T2DM patients using the data envelopment analysis (DEA). Methods. T2DM patients (

n
=
639

) who underwent surgeries in Guangdong Provincial Hospital of Traditional Chinese Medicine (2009.01-2017.12) were included. Insulin was provided to each patient during the study and separated into a CSII group (

n
=
369

) and an MDI group (

n
=
270

). DEA was performed to compare the therapeutic indexes and investigate the short-term effect of the CSII group and MDI group. Results. Scale efficiencies of the CSII group with CCR model and BCC model were better than that of the MDI group. Regarding slack variables, with higher surgical levels, the CSII group was closer to the ideal state than the MDI group, which indicated in improving the average fasting blood glucose (AFBG), antibiotic use days (AUD), preoperative blood glucose control time (PBGCT), first postoperative day fasting blood glucose (FPDFBG), and postoperative hospitalization days (PHD). Conclusion. CSII could effectively control blood glucose levels and shorten perioperative hospitalizing time for T2DM patients, indicating that CSII was beneficial in perioperative period and should be promoted clinically.
DDoS Attack Detection and Classification Using Hybrid Model for Multicontroller SDN
Authors: Gebremeskel Tewelde Gebremedhin , Gemeda Ketema Adere , Krishna T. Gopi , Ramulu Perumalla Janaki
Published: June 2023

A software-defined network (SDN) brings a lot of advantages to the world of networking through flexibility and centralized management; however, this centralized control makes it susceptible to different types of attacks. Distributed denial of service (DDoS) is one of the most dangerous attacks that are frequently launched against the controller to put it out of service. This work takes the special ability of SDN to propose a solution that is an implementation run at the multicontroller to detect a DDoS attack at the early stage. This method not only detects the attacks but also identifies the attacking paths and starts a mitigation process to provide protection for the network devices. This method is based on the entropy variation of the destination host targeted with its IP address and can detect the attack within the first 250 packets of malicious traffic attacking a particular host. Then, fine-grained packet-based detection is performed using a deep-learning model to classify the attack into different types of attack categories. Lastly, the controller sends the updated traffic information to neighbor controllers. The chi-squared (

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) test feature selection algorithm was also employed to reveal the most relevant features that scored the highest in the provided data set. The experiment result demonstrated that the proposed Long Short-Term Memory (LSTM) model achieved an accuracy of up to 99.42% using the data set CICDDoS2019, which has the potential to detect and classify the DDoS attack traffic effectively in the multicontroller SDN environment. In this regard, it has an enhanced accuracy level to 0.42% compared with the RNN-AE model with data set CICDDoS2019, while it has improved up to 0.44% in comparison with the CNN model with the different data set ICICDDoS2017.
Data from Targeting BET proteins downregulates miR-33a to promote synergy with PIM inhibitors in CMML
Authors: Letson Christopher T. , Balasis Maria E. , Newman Hannah , Binder Moritz , Vedder Alexis , Kinose Fumi , Ball Markus , Kruer Traci , Quintana Ariel , Lasho Terra L. , Finke Christy M. , Almada Luciana L. , Grants Jennifer M. , Zhang Guolin , Fernandez-Zapico Martin E. , Gaspar-Maia Alexandre , Lancet Jeffrey , Komrokji Rami , Haura Eric , Sallman David A. , Reuther Gary W. , Karsan Aly , Rix Uwe , Patnaik Mrinal M. , Padron Eric
Published: June 2023

Abstract
Background: Preclinical studies in myeloid neoplasms have demonstrated efficacy of Bromodomain and Extra-Terminal protein inhibitors (BETi). However, BETi demonstrate poor single agent activity in clinical trials. Several studies suggest that combination with other anti-cancer inhibitors may enhance the efficacy of BETi. Experimental Design: To nominate BETi combination therapies for myeloid neoplasms, we used a chemical screen with therapies currently in clinical cancer development and validated this screen using a panel of myeloid cell line, heterotopic cell line models, and PDX models of disease. We utilized standard protein and RNA assays to determine the mechanism responsible for synergy in our disease models. Results: We identified PIM inhibitors (PIMi) as therapeutically synergistic with BETi in myeloid leukemia models. Mechanistically, we show that PIM kinase is increased after BETi treatment, and that PIM kinase upregulation is sufficient to induce persistence to BETi and sensitize cells to PIMi. Further, we demonstrate that miR-33a downregulation is the underlying mechanism driving PIM1 upregulation. We also show that GM-CSF hypersensitivity, a hallmark of chronic myelomonocytic leukemia (CMML), represents a molecular signature for sensitivity to combination therapy. Conclusion: Inhibition of PIM kinases is a potential novel strategy for overcoming BETi persistence in myeloid neoplasms. Our data supports further clinical investigation of this combination.
Circularly polarized metamaterial Antenna in energy harvesting wearable communication systems
Authors: Inuwa Bala , Idowu-Bismark Olabode , Oyeleke Oluseun , Paul Olugbeji Jemitola
Published: June 2023

When battery powered sensors are spread out in places that are sometimes hard to reach, sustaining them become difficult. Therefore, to develop this technology on a large scale such as in the internet of things (IoT) scenario, it is necessary to figure out how to power them. The proffered solution in this work, is to get energy from the environment using energy harvesting Antennas. This work presents a wearable circular polarized efficient receiving and transmitting sensors for medical, IoT, and communication systems at the frequency range of WLAN, and GSM from 900 MHz up to 6 GHz. Using a cascaded system block of a circularly polarized Antenna, a rectifier and t-matching network, the design was successfully simulated. A DC charging voltage of 2.8V was achieved to power-up batteries of the wearable and IoT sensors. The major contribution of this work is the tri-band Antenna system which is able to harvest reflected Wi-Fi frequencies and also GSM frequencies combined in a miniaturized manner. This innovative configuration is a step forward in building devices with over 80% duty cycle.
Caring jacket: health monitoring jacket integrated with the internet of things for COVID-19 patients
Authors: Maghfiroh Hari , Kusumastuti Daru , Siswandina Sari Rebbeka , Hammam Al-Choiri Muhammad , Afif Maulana , Aston Susetyo Ricky , Baballe Muhammad Ahmad
Published: June 2023

One of the policies that have been made by the World Health Organization (WHO) and the Indonesian government during this COVID-19 pandemic, is to use an oximeter for self-isolation patients. The oximeter is used to monitor the patient if happy hypoxia which is a silent killer, happens to the patient. To maintain body endurance, exercise is needed by COVID-19 patients, but doing too much exercise can also cause decreased immunity. That’s why fatigue level and exercise intensity need to be monitored. When exercising, social distancing protocol should be also reminded because can lower COVID-19 spreading up to 13.6%. To solve this issue, the Caring Jacket is proposed which is a health monitoring jacket integrated with an IoT system. This jacket is equipped with some sensors and the global positioning system (GPS) for tracking. The data from the test showed the temperature reading accuracy is up to 99.38%, the oxygen rate up to 97.31%, the beats per minute (BPM) sensor up to 97.82%, and the precision of all sensors is 97.00% compared with a calibrated device.
National archival platform system design using the microservice-based service computing system engineering framework
Authors: Ramdhani Taufik Iqbal , Faiza Ninon Nurul
Published: June 2023

Archives play a vital function concerning the dynamics of people and nations as an instrument to treasure information in diverse domains of politics, society, economics, culture, science, and technology. The acceleration of digital transformation triggers the implementation of a smart government that supports better public services. The smart government encourages a national archival system to facilitate archive producers and users. The four electronic-based government system (SPBE) factors in the archival sector and open archival information system (OAIS) as a data preservation standard are the benchmarks in developing this study's national archival platform system. An improved service computing system engineering (SCSE) framework adapted to the microservice architecture is used to aid the design of the national archival platform system. The proposed design met the four-factor service design validation of coupling, cohesion, complexity, and reusability. Also, the prototype suggests what resources are needed to put the design into action by passing the performance test of availability measurement.
Characterization of electricity demand based on energy consumption data from Colombia
Authors: Toledo-Cortés Santiago , Lara Juan Sebastián , Zambrano Alvaro , González Osorio Fabio Augusto , Rosero Garcia Javier
Published: June 2023

The development of dynamic energy distribution grids to optimize energy resources has become very important at the international level in recent years. A very important step in this development is to be able to characterize the population based on their consumption behaviour. However, traditional consumption meters that report information at a monthly rate provide little information for in-depth analysis. In Colombia, this has changed in recent years due to the implementation and integration of advanced metering infrastructure (AMI). This infrastructure allows to record consumption values in small time intervals, and the available data then allows for the execution of many analysis mechanisms. In this paper we present an analysis of the electricity demand profile from a new dataset of energy consumption in Colombia. A characterization of the users demand profiles is presented using a k-means clustering procedure. Whit this customer segmentation technique we show that is possible identify customer consumption patterns and to identify anomalies in the system. In addition, this type of analysis also allows to assess changes in the consumption pattern of users due to social measures such as those resulting from the coronavirus disease (COVID-19) pandemic.
Wind power prediction using a nonlinear autoregressive exogenous model network: the case of Santa Marta, Colombia
Authors: Guillot Jordan , Restrepo Leal Diego , Robles-Algarín Carlos , Oliveros Ingrid , Niño-Suárez Paola Andrea
Published: June 2023

The monitoring of wind installations is key for predicting their future behavior, due to the strong dependence on weather conditions and the stochastic nature of the wind. However, in some places, in situ measurements are not always available. In this paper, active power predictions for the city of Santa Marta-Colombia using a nonlinear autoregressive exogenous model (NARX) network were performed. The network was trained with a reliable dataset from a wind farm located in Turkey, because the meteorological data from the city of Santa Marta are unavailable or unreliable on certain dates. Three training and testing cases were designed, with different input variables and varying the network target between active power and wind speed. The dataset was obtained from the Kaggle platform, and is made up of five variables: date, active power, wind speed, theoretical power, and wind direction; each with 50,530 samples, which were preprocessed and, in some cases, normalized, to facilitate the neural network learning. For the training, testing and validation processes, a correlation coefficient of 0.9589 was obtained for the best scenario with the data from Turkey, while the best correlation coefficient for the data from Santa Marta was 0.8537.
Visual and melanopic performance of a tropical daylight-mimicking lighting: a case study in Thailand
Authors: Santimalai Somyod , Tayjasanant Thavatchai
Published: June 2023

This paper designed and developed a tropical daylight-mimicking lighting system based on photometric, radiometric and International Commission on Illumination (CIE) standard melanopic performances from natural lighting cycles in Thailand. Spectral power distribution (SPD) during daylight in summer and winter were recorded to create a dynamic artificial lighting system that best matches the natural daylight characteristics. Two set-ups light emitting diode (LED) (LED-A and LED-B) were screened, developed, validated and compared with different chromaticity layouts of the correlated color temperatures (CCTs) allocated on Planckian locus and later converted to x-y co-ordinates in a chromaticity diagram. Based on CCT and Duv deviations between two developed setups, LED-A could mimick circadian points on the chromaticity diagram better than LED-B did. CCT and Duv values of LED-A (dCCT=3.75% and dDuv=17.36%) can match closer to the daylight than those of LED-B (dCCT=5.0 % and dDuv=56.84%). For CIE-standard melanopic performances (melanopic efficacy of luminous radiation (mELR), melanopic equivalent daylight (D65) illuminance (mEDI) and melanopic daylight efficacy ratio (mDER)), LED-A is suitable to use indoor with averages of 1.16 W×lm-1, 236 lx and 0.84, respectively, while LED-B is good to use outdoor with averages of 1.53 W×lm-1, 266 lx and 1.06, respectively. The proposed design can be used as a guideline to establish a daylight-mimicking LED lighting system from actual measurement data.
Arduino based 74-series integrated circuits testing system at gate level
Authors: Hashim Yasir , Awni Marwa , Mufeed Abdullah
Published: June 2023

The goal of this research article is to build and implement a low-cost, user-friendly 74-series logic integrated circuits (ICs) tester that is independent of a computer. Depending on the truth table of the gates and the IC configuration, the logic IC tester will be able to test the operation of the 74 series logic gates (AND, OR, NOR, NAND, XOR) of those ICs. It is feasible to test a range of logic ICs with higher pin widths thanks to the proposed system’s usage of an Arduino Mega platform module as a microcontroller, which provides the ability to connect 54 programmed logic inputs or outputs. The versatility offered by this design and the use of a personal computer allow for the reprograming and updating of the logic IC functional tester. Any 74-series ICs testing outcome will be shown on liquid crystal display (LCD) at the gate level. The logic IC functional tester was successfully constructed and operates flawlessly.