bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diffusing the Innovation of Cloud Computing Implementation: International Marketing Organization Perspective
Authors: ASHOGBON Adewale D. , MARKHAM Paul A. 
Published: February 2023

Abstract
The risk associated with the cloud computing implementation has become a growing concern within the context of international marketing organizations. The staggering report of cloud computing implementation failures poses increasing challenges for organizations of sizes. Research studies have advocated the importance of using diffusion of innovation theory to mitigate the risk posture documented during implementation process. Therefore, the study addressed the lack of understanding of the diffusion of innovation theory in cloud computing implementation from the international marketing organization’s perspectives. The correlational quantitative-based study examined the diffusion of innovation theory. The DOI was used as a guiding theoretical framework for the study. The implementation factors were used to examine the influence of the diffusion of innovation in the cloud computing implementation process from the international marketing organization’s perspectives. Findings in this study confirmed DOI as a valid model to determine the successful implementation of cloud computing technology.
Detection of Copy Move Forgery Using Rootsift and Feature Point Matching
Authors: KOSHY LITTY , S PRAYLA SHYRY 
Published: February 2023

Abstract
The popularity of the internet has grown recently, making it simpler to broadcast and purchase digital content. This popularity suggests that counterfeiting has increased the susceptibility of multimedia to modification. A copy-move forgery is one of the most popular techniques for digital photo modification. Key point-based detection systems have successfully exposed copy-move forgery as a result of various digital assaults. On the other hand, these methods are useless when forgeries only involve tiny, smooth areas with a small number of crucial spots. A multi-scale feature matching based on the copy-move forgery detection technique was put into place to solve these problems. I believe the copy move method has some potential as well. Reduce the intensity threshold and rescale the supplied image to produce a reasonable number of key points in order to address those concerns in the proposed system initially. Then, a special multi-scale matching method is developed using scale clustering, overlapping grey scale clustering, and group matching modules. Present a novel iterative localization strategy that locates the forged region by utilising the resilience properties of each key points as well as its colour information. According to the experimental results, the suggested work's copy move forgery average is 1.375, compared to the existing system's average of 2.75, with standard deviations of 0.72 and 1.44, respectively. As a result, we can say that the proposed approach is more accurate and efficient than existing methods by more than 99.9%.
High-Harmonic Generation with a twist: all-optical characterization of magic-angle twisted bilayer graphene
Authors: Molinero Eduardo Bernal , Datta Anushree , Calderón María J. , Bascones Elena , Silva Rui E. F. 
Published: February 2023

Abstract

If we stack up two layers of graphene while changing their respective orientation by some twisting angle, we end up with a system that has striking differences when compared to single-layer graphene. For a very specific value of this twist angle, known as magic angle, twisted bilayer graphene displays a unique phase diagram that cannot be found in other systems. Recently, high harmonic generation spectroscopy has been successfully applied to elucidate the electronic properties of quantum materials. The purpose of the present work is to exploit the nonlinear optical response of magic-angle twisted bilayer graphene to unveil its electronic properties. We show that the band structure of magic-angle twisted bilayer graphene is imprinted onto its high-harmonic spectrum. Specifically, we observe a drastic decrease of harmonic signal as we approach the magic angle. Our results show that high harmonic generation can be used as a spectroscopy tool for measuring the twist angle and also the electronic properties of twisted bilayer graphene, paving the way for an all-optical characterization of moiré materials.
Discovery of novel small molecule inhibitors targeting progranulin-sortilin: A virtual high throughput screening approach
Authors: Anand Aishwarya , Jain Manav , Shah Ashish , Medhi Bikash 
Published: February 2023

AbstractIntroduction:Reduction in progranulin (PGRN) have been associated with various neurodegenerative diseases. PGRN binds with high affinity to sortilin (SORT), a membrane transporter, resulting in its cellular uptake and eventual degradation in the lysosome. Inhibition of the SORT-PGRN interaction has the potential to increase PGRN levels up to 2.5-fold.Methodology:A virtual screening of curated CNS library of >47K ligands was done with sortilin receptor (6X3L) through virtual screening workflow in Schrodinger suite. Co-crystallised ligand was used as a positive control. Docking was done through HTVS, then SP and finally XP model followed by binding free energy calculations (MMGBSA). Based on the result analysis of molecular docking, binding free energy and interactions, docked complexes were chosen for molecular dynamics (MD) studies. Drug likeliness and ADMET studies were also carried out.Results:The virtual screening workflow yielded 139 ligands. Two test ligands and a control were selected and further evaluated through molecular dynamics studies. Both the test ligands (1625 & 127) had comparative docking score (-5.96 & -6.46 kcal/mol) as that of control ligand (-6.21 kcal/mol respectively) and but better binding free energy (-54.66, -53.12 & -43.21 kcal/mol respectively). MD simulations confirmed the docking results for all the three ligands where our test ligand 1625 reached equilibrium quickly as compared to the rest. Our test compounds also showed favourable characteristics of a CNS acting drug and favourable ADMET properties.Conclusion:Our study results showed a promising CNS specific ligand as an inhibitor of PRGN-SORT interactions and has a potential to be developed as a drug through in-vitro and in-vivo studies.
Tuberculosis in Pregnancy after in Vitro Fertilization and Embryo Transfer: Case Series and Literature Review
Authors: Zou Ju , Li Jie , Chen Chen , Chen Ruo-Chan 
Published: February 2023

Abstract
Background

Worldwide, tuberculosis (TB) remains an important cause of maternal mortality and morbidity, accounting for approximately one-third of annual deaths. Moreover, untimely TB treatment during pregnancy increases the risk of perinatal complications and poor fetal prognosis. Recently, there has been widespread use of in vitro fertilization and embryo transfer (IVF-ET). However, its clinical characteristics and possible mechanisms of TB infection in pregnant women who conceive by IVF-ET remain unclear. Therefore, we report three cases of young pregnant women diagnosed with TB after IVF-ET and describe their diagnosis and treatment.

Case presentation

Three young women (age: 26–31 years) diagnosed with primary infertility underwent IVF-ET treatment. They lacked a history of TB or manifestations of activated TB before transplantation. After presenting with fever, cough, and headache at 5–12 weeks of pregnancy, they were diagnosed with miliary TB, disseminated TB, and tuberculous meningitis, respectively. Initially, the patients were on a daily fixed-dose combination of first-line anti-TB treatment (ATT), which comprised rifampicin, isoniazid, pyrazinamide, and ethambutol, followed by medication adjustment during treatment for 6–12 months. Although all fetuses were lost, the patients achieved optimal outcomes after timely ATT.

Conclusions

This report demonstrates the increased risk of TB in pregnant women who conceive by IVF-ET. Therefore, it is important to carefully monitor these women even if they lack a history of or exposure to TB. Accordingly, prompt diagnosis and treatment of TB in these patients is necessary to optimize patient outcomes.
The Blue Tansy essential oil as eco-friendly corrosion inhibitor of the mild steel in 1 M HCl solution: Electrochemical study, DFTB computation and Monte Carlo simulation
Authors: ZRIOUEL WAFAA , BENTIS AZIZ , MAJID SANAA , HAMMOUTI BELKHEIR , GMOUH SAID 
Published: February 2023

Abstract
The chemical composition of Blue Tansy essential oil (BTES) was performed by gas chromatography (GC) coupled to a flame ionization detector (FID). The corrosion-resistance ability of the mild steel in hydrochloric acid solution using BTES was tested by means of weight loss measurements, Potentiodynamic polarization study and the Dynamic electrochemical impedance spectroscopy (EIS). The inhibition efficiency of BTES increased with the inhibitor concentration and its inhibitory behavior follow a damped oscillation. To explain the anti-corrosion mechanism of the BTES and to calculate quantum chemical parameters, the theory of the functional density of Tight bonding (DFTB+) computation and the Monte Carlo simulation were applied.
Long-term Evaluation of Viabilitity of Microfilariae and Iv Transplanted Adult Dirofilaria Immitis in Microfilaremic Dogs Treated With Low-dose, Short- and Long-treatment Regimens of Doxycycline and Ivermectin
Authors: McCall John Wilson , Mansour Abdelmoneim , DiCosty Utami , Fricks Crystal , McCall Scott , Dzimianski Michael Timothy , Carson Ben 
Published: February 2023

Abstract
Background: Microfilarial (mf) counts were monitored over 21.3 months for any rebound that might occur in counts and adulticidal efficacy was assessed following administration of low dosage with short- and long-treatment regimens of doxycycline and ivermectin to heartworm microfilaremic dogs.
Methods:Twelve heartworm-naïve Beagles infected with 10 pairs of adult Dirofilaria immitis by IV transplantation were randomly allocated to 3 groups of 4 dogs. All treatments started on Day 0. On Day 0, Group 1 (short-treatment regimen) received doxycycline orally at 10 mg/kg once daily for 30 days plus ivermectin orally (min., 6 mcg/kg) on Days 0 and 30. Group 2 (long-treatment regimen) received doxycycline orally at 10 mg/kg once daily until individual dogs became mf negative (72-98 days) and ivermectin every other week until individual dogs became mf negative (6-7 doses). Group 3 was the untreated control. Mf counts and antigen (Ag) tests were conducted. Dogs were necropsied for recovery and enumeration of heartworms on Day 647.
Results: Day -1 mean mf counts were 15,613, 23,950 and 15,513 mf/mL for Groups 1, 2 and 3, respectively. Mean counts for Group 1 and 2 declined until days 239 and 97, respectively, when all were negative. Group 3 had high mf counts throughout the study. There was not a rebound in mf counts in any of the treated dogs after they became amicrofilaremic. All dogs in Group 1 and Group 3 were Ag positive throughout the study and had at least 1 live female worm at necropsy. All dogs in treated Group 2 were positive for Ag through Day 154, but were antigen-negative on days 644 and 647, as all had only male worms.
Mean live adult worm recoveries for Groups 1, 2 and 3 were 6.8 (range, 5-8), 3.3 (range, 1-6) and 16.0 (range, 14-17), respectively, with a percent reduction in adult worm counts of 57.5% for Group 1 and 79.3% for Group 2.
Conclusions: This data lends support to the use of the American Heartworm Society Canine Guidelines for adulticide therapy recommendation of initiating doxycycline plus an ML treatment at the time of the heartworm-positive diagnosis.
Brain Tumor MRI Identification and Classification Using DWT, PCA, and KSVM
Authors: FARUQ OMAR , Jahi Islam Md , Ahmed Md. Sakib , Hossain Md Sajib 
Published: February 2023

Abstract
Background
Classification, segmentation, and the identification of the infection region in MRI images of brain tumors are labor-intensive and iterative processes. The optimum classification technique helps make the proper choice and delivers the best therapy. Despite several significant efforts and encouraging discoveries in this subject, precise segmentation and classification remain challenging tasks.
Method
In this study, we proposed a new method for the exact segmentation and classification of brain tumors from MR images. Initially, the tumor image is pre-processed and segmented by using the Threshold function for removing image noises. To minimize complexity and enhance performance used Discrete wavelet transformation (DWT) for getting the accurate in MR Images. Principal component analysis (PCA) are used to condense the feature vector dimensions of magnetic resonance images.Finally, for differentiate between benign and malignant tumor types, the Classification stage employs a pre-trained Support Vector Machine with several kernels, also known as a kernel support vector machine (KSVM).
Result
The efficacy of the suggested approach is also compared to that of other existing frameworks for segmentation and classification. Results demonstrated that developed approach is effective and quick, where as we obtained excellent accuracy and recognized the brain MR Images as normal and pathological tissues.
Artificial Intelligence Analysis of Diabetic Retinopathy in Retinal Screening Events
Authors: Vought Rita , Vought Victoria , Shah Megh , Szirth Bernard , Bhagat Neelakshi 
Published: February 2023

Abstract
Purpose: Patients with Type II Diabetes are at increased risk Diabetic Retinopathy (DR). Early detection and treatment of DR is critical for saving vision and preventing blindness. To address the need for increased DR detection and referrals, we evaluated the use of artificial intelligence (AI) for screening DR.
Methods: Patient images were obtained using a 45-degree Canon Non-Mydriatic CR-2 Plus AF retinal camera in the Department of Endocrinology Clinic (Newark, NJ) and in a community screening event (Newark, NJ). Images were initially classified by an on-site grader and uploaded for analysis by EyeArt, a cloud-based AI software developed by Eyenuk (California, USA). The images were also graded by an off-site retina specialist. Using Fleiss kappa analysis, a correlation was investigated between the three grading systems, the AI, onsite grader, and a US board-certified retina specialist, for a diagnosis of DR and referral pattern.
Results: The EyeArt results, onsite grader, and the retina specialist had a 79% overall agreement on the diagnosis of DR. The kappa value for concordance on a diagnosis was 0.69 (95% CI: 0.61-0.77), indicating substantial agreement. Referral patterns by EyeArt, the onsite grader, and the ophthalmologist had an 85% overall agreement. The kappa value for concordance on “whether to refer” was 0.70 (95% CI: 0.60-0.80), indicating substantial agreement.
Conclusions: This retrospective cross-sectional analysis offers insights into use of AI in diabetic screenings and the significant role it will play in automated detection of DR. The EyeArt readings were beneficial with some limitations in a community screening environment.
Resistance levels of cassava landraces to CMD, CBSD and vector whiteflies in Malawi
Authors: Musopole Hastings , Mtonga Andrew , Maruthi M.N. 
Published: February 2023

Abstract
Cassava mosaic disease (CMD) and cassava brown streak disease (CBSD) have been two major threats to cassava production in eastern and southern Africa. This study was designed to identify CMD- and CBSD-resistant cassava landraces and farmer-preferred varieties in Malawi for effective disease control. Thirty cassava landraces were collected from 17 districts across Malawi and evaluated for disease resistance a field experiment at the Chitala Research Station in a randomized complete block design (RCBD). Cultivars Mbundumali and Pwani were used as susceptible and resistant controls, respectively. Data collected on foliar and root disease symptoms indicated that CMD was more prominent than CBSD during the study. Cultivars Pwani, Mkumba, R23-Sangwala, Sagonja, R31-Kamphunobi, R33-Chimphuno, R76-Kamphuno, MZ126, and R63-2020 showed relative dual resistance to both CMD and CBSD with the highest incidence of 25 and 18%, respectively. Some cultivars showed resistance to one disease and not the other. The lowest cumulative number of whiteflies (0.68 per plant) was observed on Pwani while the highest was seen on R42-Mwenemisuku with 6.33 per plant. However, various cultivars supported varied numbers of whiteflies and nymphs. Assessing relative virus quantities of the prevailing viruses, East African cassava mosaic virus (EACMV) and Cassava brown streak virus (CBSV) indicated that Pwani, Mkumba and Sagonja supported lowest amount of EACMV and CBSV. Our results collectively identified the presence of dual-resistant cassava which can be further exploited for managing both CMD and CBSD in Malawi.
A novel intergenic dSH3-irr insertion mutation in Bradyrhizobium diazoefficiens causes its symbiotic incompatibility with soybean
Authors: jin yuhao , liu yuanhui , liu sheng , Wang Entao , Bacem Mnasri , Chen Wenfeng 
Published: February 2023

Abstract
Legumes and rhizobia collaborate to fix nitrogen in the host plant nodules, but some inadvertent mutation may generate unexpected symbiosis. We reported an altered host range symbiosis of Bradyrhizobium diazoefficiens USDA110 mutant dSH3_IP when associating with Sophora flavescens. Recently, we found SH3_IP cannot symbiose with original host soybean (Glycine max), and mutant influenced iron response regulator, which forms convergent gene pair with dSH3 in strain USDA110. The reason of symbiotic mismatching between soybean and dSH3_IP was explored through dual RNA-seq transcriptome and symbiotic characterization. We discovered dSH3_IP bacteroid assimilated more nutrition, triggered stronger immune responses and perturbed the symbiotic components in soybean nodules. Anyway, the incompatible symbiosis between dSH3_IP and soybean originated from intergenic insertion of dSH3-irr, which importance was not uncovered previously and may be used as a potential regulatory element in the future to regulate the SNF efficiency by artificial genetic design.
Macroscopic reconstruction of the lattice Boltzmann model for incompressible flows
Authors: Lu Jinhua , Adams Nikolaus A. 
Published: February 2023

Abstract

The present paper aims to clarify the mechanisms of the good numerical stability of the lattice Boltzmann model for incompressible flows and then construct a macroscopic solver that combines the good numerical stability of the lattice Boltzmann model and the flexibility of macroscopic algorithms in using nonuniform meshes. By introducing the second-order non-equilibrium momentto make entropy increase approximately in the collision process, we propose the non-equilibrium-moments-based reconstructed macroscopic equations of the lattice Boltzmann model for incompressible flows. Numerical investigations demonstrate that the discretized macroscopic equations can achieve even better numerical stability than the lattice Boltzmann model. It implies that the good numerical stability of the lattice Boltzmann model can be roughly explained by the entropy increase of the collision step and the diffusion process of the streaming step. However, the discretized non-equilibrium-moments-based reconstructed macroscopic equations are proven to have significant numerical errors at small kinematic viscosities. By combining them with the equilibrium-moments-based reconstructed macroscopic equations, a hybrid model that can achieve good numerical stability and accuracy at both small and large kinematic viscosities is proposed. Compared with the lattice Boltzmann model for incompressible flows, the hybrid model has better numerical stability, similar accuracy, and a significant advantage in using nonuniform meshes.
Scandian actinolite from Jordanów Śląski, Lower Silesia, Poland: Compositional evolution, crystal structure, and genetic implications
Authors: Pieczka Adam , Stachowicz Marcin , Zelek-Pogudz Sylwia , Gołębiowska Bożena , Sęk Mateusz , Nejbert Krzysztof , Kotowski Jakub , Marciniak-Maliszewska Beata , Szuszkiewicz Adam , Szełęg Eligiusz , Stadnicka Katarzyna M. , Woźniak Krzysztof 
Published: February 2023

Abstract
Scandian actinolite evolving to scandio-winchite (up to 5.45 wt% Sc2O3) has been found in chlorite-dominant xenoliths incorporated into marginal portion of a granitic pegmatite. The pegmatite intruded a blackwall schist zone developed around rodingite-type rocks exposed in a serpentinite quarry at Jordanów Śląski near Sobótka, ~30 km south of Wrocław, Lower Silesia, Poland. The amphiboles form irregular overgrowths around cascandite and represent a complex solid-solution series among actinolite and scandio-winchite end-members, with a trace contribution of “scandio-magnesio-hornblende.” Structural studies of a scandian actinolite crystal with composition A[☐0.995(2)K0.005(2)]Σ1B[Na0.24(5)Ca1.73(4)]Σ1.98(1)C[Mg3.74(7)Fe0.90(3)2+Mn0.04(1)Sc0.26(3)Al0.05(1)]Σ4.99(1)T[Si7.98(2)Al0.02(2)]Σ8.00O22(OH)2 revealed monoclinic C2/m structure with unit-cell parameters a = 9.8517(3), b = 18.0881(6), c = 5.28501(18) Å, β = 104.809(4)°, in which scandium is located solely at the CM2 site. Scandian amphiboles are uncommon in geological environments, and invite comments on the origin of the observed Sc enrichment in the amphibole structure. Textural appearance of the chlorite-cascandite-amphibole clusters suggests that the formation of the amphiboles is related to the evolution of the country rocks followed by partial alteration of blackwall schist xenoliths by pegmatite-forming melt.
Assessment of the water quality of the Niger River in Bamako, Mali, based on the Water Quality Index
Authors: Sangare Lamine Ousmane , Ba Sidy , Toure Amadou , Samake Mamoutou , Zheng Tong 
Published: February 2023

Abstract
The Niger River, threatened by human activities, is the main drinking water source for the population of Bamako city. This study assesses the trend of Niger River pollution in Bamako using the Water Quality Index (WQI). Fourteen parameters, namely Turbidity, Potential of Hydrogen (pH), Electrical Conductivity, Dissolved Oxygen, Total Dissolved Solids, Biochemical Oxygen Demand (BOD5), Chemical Oxygen Demand (COD), Nitrate, Nitrite, Ammonium, Phosphate, Sulphate, Chloride and Copper, were employed to characterise the Niger River water quality during the period from 2016 to 2020. Parameters were measured at 15 sampling locations. High values of Turbidity, pH and high concentrations of BOD5, COD, Nitrite, Ammonium and Phosphates were recorded. The results showed that the Niger River water quality was good for 4 months and poor for 5 months during the dry season in a low flow period. Moreover, the water quality was poor during the 3 months of the wet season in the high flow period. The calculated WQI average values ranged from 75 to 100, indicating very poor water quality from upstream to downstream of Bamako city. Therefore, the Niger River water is polluted and cannot be used for drinking or industrial uses without any treatment.