bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thermo- physics behaviour of raphia vinifera/ Epoxy woven material: Experimental and theoretical approach
Authors: Djoumessi Alfred Kendem , Tagne Nicodème Rodrigue Sikame , Tiaya Elvis Mbou , Gapgue François , Njeugna Ebernezer 
Published: January 2023

Abstract
This work deals with the analysis of the thermo-physical behavior of the raffia vinifiera/Epoxy bio-composite. The material is elaborated then, the thermal and physical properties are determined experimentally and theoretically. The experimental analysis of the thermal behavior is done by the hot plate method and that of the physical behavior it is done by the measuring the density and the kinetics of absorption which is used to evaluate the rate of absorption and the diffusion of water. The theoretical analysis, on the thermal conductivity used the model of Ning/Chou to homogenize the coefficient of conductivity and the method of finite elements in the software Abaqus C.A.E 6.14 to simulate the heat transfer through the composite; the theoretical determination of the density is done using the equation of Agrawal and Broutman. This work shows that the results obtained in experimental approach corroborate well with the theoretical ones. Moreover, this material presents very interesting characteristics such as a very low thermal conductivity which makes it a good insulating material on the one hand and on the other hand a low density (light and less absorbent material) compared to the wood species used in shipbuilding; thus, it is a suitable material for the construction of the superstructure of floating boats.
Association between lipid level and atherosclerotic CVD in community-dwelling older people: the longitudinal observation of SONIC study
Authors: Nakamura Yuko , Kabayama Mai , Godai Kayo , Akasaka Hiroshi , Tseng Winston , Yamamoto Koichi , Takami Yoichi , Takeya Yasushi , Gondo Yasuyuki , Yasumoto Saori , Ogawa Madoka , Kasuga Ayaka , Masui Yukie , Ikebe Kazunori , Arai Yasumichi , Ishizaki Tatsuro , Rakugi Hiromi , Kamide Kei 
Published: January 2023

Abstract
Background
With the aging of the population, it is becoming increasingly important to maintain adequate lipid levels to prevent atherosclerotic cardiovascular diseases (CVD). In older populations, the association between CVD and lipids is controversial. We investigated the association between lipid levels and CVD onset in a community-dwelling older population.
Methods
The longitudinal study included 1,432 older and oldest-old people. The survey site assessed interviews on medical history and casual blood testing. Participants were divided into two age groups: a 70-yr group and an 80 & 90-yr group, and lipid levels and CVD onset/recurrence were examined in each group. The incidence of cerebral infarction, transient ischemic attack, ischemic heart disease, or bypass/catheter surgery for heart diseases was defined as atherosclerotic CVD. Associations were analyzed using multiple logistic regression to control for sex, age, body mass index, smoking history, drinking history, anti-dyslipidemia medications, hypertension, and diabetes mellitus
Results
There were 45 onsets of CVD during a three-year follow-up. There was a strong association between high-density lipoprotein (HDL) < 40 mg/dL and CVD (OR = 5.61, 95% CI [2.04–15.44] in the 70-yr group, OR = 3.85, 95% CI [1.29–11.43] in the 80 & 90-yr group). There was a correlation between triglyceride (TG) ≥ 150 mg/dL and CVD in the 80 & 90-yr group (OR = 3.09, 95% CI [1.25–7.62]) but not in the 70-yr group. There was no significant correlation between low-density lipoprotein (LDL) ≥ 140 mg/dL and CVD in either age group.
Conclusion
A low level of HDL, defined as < 40 mg/dL, and high TG, defined as ≥ 150 mg/dL, were associated with onsets of CVD in community-dwelling older people. On the other hand, high LDL, defined as ≥ 140 mg/dL, indicated no association with CVD in older people. These results suggest that low HDL and high TG may be crucial residual risks for CVD onset in older populations.
Ion selectivity and rotor coupling of the Vibrio flagellar sodium-driven stator unit
Authors: Taylor Nicholas , Hu Haidai , Popp Philipp , Santiveri Mònica , Roa-Eguiara Aritz , Yan Yumeng , Liu Zheyi , Wadhwa Navish , Wang Yong , Erhardt Marc 
Published: January 2023

Abstract
Bacteria swim using a flagellar motor that is powered by stator units. Vibrio spp. are highly motile bacteria responsible for various human diseases, the polar flagella of which are exclusively driven by sodium-dependent stator units (PomAB). However, how ion selectivity is attained, how ion transport triggers the directional rotation of the stator unit, and how the stator unit is incorporated into the motor remain largely unclear. Here we have determined by cryo-electron microscopy the structure of Vibrio PomAB. The electrostatic potential map uncovers sodium binding sites, which together with functional experiments and molecular dynamics simulations, reveal a mechanism for ion translocation and selectivity. Bulky hydrophobic residues from PomA, prime PomA for clockwise rotation. We propose a dynamic helical motif in PomA regulates the distance between PomA subunit cytoplasmic domains, stator unit activation, and torque transmission. Together, our studies provide mechanistic insights for understanding stator unit ion selectivity and motor incorporation.
A PAM4 transceiver design scheme with threshold adaptive and tap adaptive
Authors: Liu Xuena , Li Zhensong , Wen Hao , Miao Min 
Published: January 2023

Abstract
To meet the demand of low bit error rate (BER) and high bandwidth for high-speed links, a reliable 112Gb/s four-level pulse amplitude modulation (PAM4) transceiver design scheme with adaptive threshold voltage and adaptive decision feedback equalizer (DFE) is proposed in this paper. In this scheme, three continuous time linear equalizers (CTLE) at the front end of receiver are used to compensate the high-frequency, mid-frequency and low-frequency signals respectively, and the variable gain amplifier (VGA) and saturation amplifier (SatAmp) are used to scale the signal amplitude. In addition to the three data samplers, four auxiliary samplers are also used for threshold adaptation. The sign-sign least mean squares algorithm uses the offset between the data sampler and the auxiliary sampler at the receiver side to drive the auxiliary reference voltage to converge to the signal constellation level, thus ensuring that the eye diagram of the PAM4 received signal has equal spacing and a constant signal-noise ratio (SNR) for the three eyes in the vertical direction. In addition, the adaptive DFE for PAM4 signaling allows the transceiver to better adapt to the channel and thus achieve better equalizer performance. The simulation results show that the PAM4 transceiver design can compensate up to 25dB of channel loss with an average eye height of 59.6 mv and an average eye width of 0.27 UI at a bit error rate of 10− 12 under the condition of 3 tap Feedforward equalizer (FFE) transmitter.
Cooperative Beam Selection Method using Location-based Fingerprint DB according to User Classification in UAV Support Systems
Authors: Sim Yuna , Sin Seungseok , Cho Jihun , Moon Sangmi , You Young-Hwan , Kim Cheol Hong , Hwang Intae 
Published: January 2023

Abstract
Owing to their high-altitude and mobility characteristics, unmanned aerial vehicles (UAVs) are attracting attention as a key element of new radio (NR) systems because they can exceed the limits of terrestrial networks. However, UAVs at high altitudes can be greatly affected by inter-cell interference at a high line-of-sight (LOS) probability. Accordingly, we propose an algorithm that selects the optimal beam to reduce interference and maximize transmission efficiency. The pro-posed algorithm consists of two steps. It is divided into the process of constructing a user-location-based fingerprint database according to the user types presented herein and the process of cooperative beam selection. Simulations are conducted based on cellular cooperative downlink systems for performance analysis of the proposed method, and signal-to-interference-plus-noise cumulative distribution function (SINR CDF) and spectral efficiency cumulative distribution function (SE CDF) are used as performance analysis indicators. The simulation results confirm that the proposed algorithm can reduce the effect of interference and increase the performance of the desired signal. Moreover, the proposed algorithm can efficiently reduce overheads and system cost by reducing the amount of resources required for in-formation exchange.
Diagnostic Value of Breast MRI and Nomogram After Negative Axillary Ultrasound For Predicting Axillary Lymph Node Metastasis in Patients with Clinically T1-2 N0 Breast Cancer
Authors: Song Sung Eun , Cho Kyu Ran , Cho Yongwon , Jung Seung Pil , Park Kyong-Hwa , Woo Ok Hee , Seo Bo Kyoung 
Published: January 2023

Abstract
Purpose: To assess the false negative result (FNR) of axillary ultrasound (AUS), the rate of high nodal burden (HNB) in clinically T1-2 N0 breast cancer patients, and the diagnostic performance of breast MRI and nomogram.
Methods: We identified 948 consecutive patients with clinically T1-2 N0 cancers who had negative AUS, subsequent MRI, and breast conserving therapy between 2013 and 2020 from two tertiary medical centers of Korea University, Seoul, Korea. Patients from two centers were assigned to development and validation sets, respectively. Using logistic regression analyses, clinical- imaging factors associated with LN metastasis were analyzed in the development set from which nomogram was created. The performance of MRI and nomogram was assessed. HNB was defined as ≥3 positive LNs.
Results: Among 948 patients, 402 (mean age ± standard deviation, 57.61 ± 11.58) were within development cohort and 546 (54.43 ± 10.02) within validation cohort. The FNR of AUS was 20.1% (81 of 402) and 19.2% (105 of 546) and the rates of HNB were 1.2% (5/402) and 2.2% (12/546), respectively. Clinical and imaging features associated with LN metastasis were progesterone receptor positivity, outer tumor location on mammography, BI-RADS category 5 assessment of cancer on ultrasound, and positive axilla on MRI. The negative predictive value (NPV) of MRI and clinical-imaging nomogram was 86.5% and 82.0%.
Conclusions: The FNR of AUS was approximately 20% but the rate of HNB was low. MRI had merit in reaffirming negative AUS. Clinical-imaging nomogram might be helpful to find possible candidates for the omission of SLNB.
Identification of Mungbean Genotypes with Multiple Disease Resistance
Authors: KOLL DHARANI SREE , Bhat Sumangala , Mogali Suma C , Balol Gurupad 
Published: January 2023

Abstract
Mungbean is a high-protein legume and is widely cultivated in a variety of cropping systems. Foliar diseases like powdery mildew, anthracnose and mungbean yellow mosaic virus (MYMV) not only limit the productivity but also affect the physical quality of seeds rendering them unusable. In this study 130 advanced breeding lines were subjected to field screening to identify genotypes with multiple disease resistance.Field screening was conducted using infector row method to identify the resistant genotypes. Screening for powdery mildew and anthracnose was done during kharif 2021 and for MYMV during summer 2022. During each season, two trials were laid, each under protected and unprotected conditions. The genotypes were screened under unprotected conditions and the yield differences between these two trials were used to determine the per cent yield reduction due to the disease.Of the 130 advanced breeding lines screened for foliar diseases, Vigna trilobata was found to show multiple disease resistance. The advanced breeding lines such as DGG-227, V-02-709, DGG-96, DGG-21 showed resistant reaction for anthracnose. GPM-19 was the only genotype which was found to be resistant to powdery mildew. During summer 2022, 18 genotypes showed resistant reaction towards MYMV.
Analysis of non-covalent interactions in the acetone-chloroform system by MP2/CBS quantum chemical calculations
Authors: Rosas-García Victor M. , Alanís-Cuevas Cristofer Adrián 
Published: January 2023

Abstract
We studied the non-covalent interactions present in the acetone-chloroform system at the MP2/Complete Basis Set level of theory. To this end, we did a configurational search for the diverse geometries of (acetone)2 homodimers, (chloroform)2 homodimers and acetone-chloroform heterodimers. All the structures we obtained were subjected to full geometry optimization and their vibrational frequencies calculated. The resulting wavefunctions were subjected to Reduced Density Gradient and Non-Covalent Interaction analyses which yielded a variety of critical points. We found that the reported hydrogen bond for the acetone-chloroform dimer likely has a van der Waals component involving interaction between a chlorine in chloroform and a hydrogen in acetone. In addition, we extrapolated energies to the Complete Basis Set limit. The MP2/Complete Basis Set-calculated interaction energies follow the trend (acetone)2 > acetone-chloroform > (chloroform)2. It was also found that MP2/cc-pVDZ severely underestimates the interaction energies as well as predicts the wrong trend, when compared to MP2/Complete Basis Set.
Characteristics of dynamic waves in incompressible fluid regarding nonlinear Boiti-Leon-Manna-Pempinelli model
Authors: Islam Md. Tarikul , Sarkar Tara Rani , Abdullah Farah Aini , Gómez-Aguilar J. F. 
Published: January 2023

Abstract
Distinct models involving nonlinearity are mostly appreciated for illustrating intricate phenomena arise in the nature. The new (3 + 1)-dimensional generalized nonlinear Boiti-Leon-Manna-Pempinelli (BLMP) model describes the dynamical behaviors of nonlinear waves arise in incompressible fluid. This present effort deals with the well-known governing BLMP equation by adopting two efficient schemes, namely improved tanh and improved auxiliary equation. As a result, a variety of appropriate wave solutions are made available in different type functions. The gathered solutions are figured out to characterize their internal properties for depicting the relevant phenomena. Diverse wave profiles are noticed in 3D, 2D and contour sense after assigning parameter’s values involved in the achieved solutions. The finding results are comparably different and general due to the existing wave solutions. The employed approaches perform in a great way to construct analytic wave solutions of considered evolution equation and deserve further use in relevant research area.
Mathematics Subject Classifications: 35C08, 35R11
Lung Cancer Detection Using Wavelet Scattering Transform and Artificial Intelligence Technique
Authors: Omer Osama A. , Saijo Yoshifumi 
Published: January 2023

Abstract
The diagnosis of lung cancer is practically done by looking at a sample of lung cells in the lab. However, signs of lung cancer can be found by screening using X-Ray, CT, or Histopathological images. Each of these imaging modalities has its advantages and disadvantages. Chest X-ray is the first-line investigation for suspected lung cancer in primary care. However, the highest-quality studies suggest that the sensitivity of chest X-rays for symptomatic lung cancer is only 77–80%. On the other hand, a chest CT scan uses x-rays to make detailed cross-sectional images of the chest. Instead of taking 1 or 2 pictures, like a regular x-ray, a CT scanner takes many pictures and a computer then combines them to show a slice of the part of the chest under investigation. A CT scan is more likely to show lung tumors than traditional chest x-rays. In addition, the size, shape, and position of any lung tumors can be shown by a chest CT scan. More lung cancers were detected in the CT screening group compared with the control group with a 95% confidence interval. Moreover, Histopathological image analysis is widely used for cancer grading. Compared to mammography, CT and others, histopathology slides provide more comprehensive information for the diagnosis, and the diseases are analyzed by detecting tissue and cells in lesions. However, an invasive biopsy is necessary, which is often tried to be avoided. Therefore, chest CT is an optimal candidate for our study in sense of accuracy and availability. In this proposal, we deal with multi-class cancer detection from CT Lung images that is by detecting the cancer type rather than two classes (cancerous and normal images). The proposed method is based on a better representation of the image features by using Wavelet scattering Transform (WST). The classification is performed using three machine learning (ML) algorithms including support vector machine (SVM), kernel nearest neighbor (KNN), and random forest (RF). The WST coefficients are stable under signal deformations and globally invariant to signal translation and rotation. Based on the simulation results, the proposed method achieved an accuracy of 93.24%, 95.28%, and 99.90% for the case of WST + SVM, WST + KNN, and WST + RF networks, respectively.
Ultrasound-assisted modification of enzyme and antioxidant activities, functional and rheological properties of oat and barley bran
Authors: Grgić Tomislava , Pavišić Zrinka , Strmečki Nadica Maltar , Voučko Bojana , Mustač Nikolina Čukelj , Ćurić Duška , Le-Bail Alain , Novotni Dubravka 
Published: January 2023

Abstract
Oat and barley bran are high in dietary fiber (β-glucans), minerals, and antioxidants, have high activity of enzymes, but possess also antinutrients. This study aimed to investigate the influence of high-intensity ultrasound on enzyme and antioxidant activities, phytic acid content, as well as functional and rheological properties of oat and barley bran. Ultrasonic treatment was performed at 24 kHz on a 15% bran water suspension, at three specific energies (87, 217.5, and 348 kJ/kg), with or without pulsation (5 sec every 10 sec). Bran was assessed for β-glucanase and phytase activity, phytic acid and total phenolic content, antioxidant activity, hydration, and rheological properties. β-glucanase from oat bran was inactivated up to 82% and from barley bran up to 55%, in dependence of ultrasound specific energy and pulsation. In both bran types, phytase activity increased by 40–44% after treatments with 87 kJ/kg but decreased by 89–94% at 348 kJ/kg. Phytic acid was reduced on average in oat bran by 17% and in barley bran by 39%. Depending on the energy and pulsation, the ultrasonication of both bran types reduced total phenolic content (27–55%), antioxidant activity (by 28–48%), complex viscosity (62–71%) and maximum stress tolerated by the sample (46–68%). In contrast, water swelling (42–48%) and water retention capacity (44–59%) increased for both bran types. Hence, high-intensity ultrasound is a useful technique in reducing antinutrients, while altering the enzyme activity and functional properties of the bran. These results could help wider application of bran in food production.
An End-to-End Convolutional Neural Network for Automated Failure Localisation and Characterisation of 3D Interconnects
Authors: Paulachan P. , Siegert J. , Wiesler I. , Brunner Roland 
Published: January 2023

Abstract
The advancement in the field of 3D integration circuit technology leads to new challenges for quality assessment of interconnects such as through silicon vias (TSVs) in terms of automated and time-efficient analysis. In this paper, we develop a fully automated high-efficient End-to-End Convolutional Neural Network (CNN) model, utilizing two sequentially linked CNN architectures, suitable to classify and locate thousands of TSVs as well as provide statistical information. In particular, we generate interference patterns of the TSVs conducting a unique concept of Scanning Acoustic Microscopy (SAM) imaging. Scanning Electron Microscopy (SEM) is used to validate and also disclose the characteristic pattern in the SAM C-scan images. By comparing the model with semi-automated machine learning approaches its outstanding performance is illustrated, indicating a localisation and classification accuracy of 100% and over 98%, respectively. The approach is not limited to SAM-image data and presents an important step towards zero failure management.
A Case of Ocular Toxoplasmosis Presenting With Neuroretinitis
Authors: Tarım Bilge , Kılıç Meltem , Hamurcu Mualla 
Published: January 2023

Abstract
A 33-year-old female patient who followed up in an external center with the diagnosis of optic neuritis 2 years ago, had complaints of decreased vision and headache for 1 week. In our examination, visual acuity was counting fingers from 2 meters in the right eye and 1.0 in the left eye with a Snellen chart. Bilateral anterior segment was normal in slit-lamp examination. Color vision was 0/12 in the right eye and 12/12 in the left eye. In dilated fundus examination, optic nerve head edema was present in the right eye, while the optic nerve, macula and retina of the left eye were normal. In the visual field, an inferior arcuate visual field defect was observed in the right eye. Anti Toxoplasma IgM resulted in 1,240 IU/mL (positive) and IgG 90.5 IU/mL (positive). Optical coherence tomography showed pigment epithelial detachment adjacent to the optic disc. Trimethoprim/sulfamethoxazole 800/160 mg 2x1, azithromycin 1000 mg loading followed by 500 mg 1x1 (1 week) was started. On the 3rd day of the treatment, prednisolone 1mg/kg/day weekly reduction regimen was started. There was a macular star appearance with hard exudates in the macula with a rapid recovery with treatment. At the 6th month follow-up, visual acuity was 0.5 in the right eye and 1.0 in the left eye, while anterior segment slit-lamp examination was normal. In dilated fundus examination, the temporal part of the optic disc was pale and macular hard exudates were present in the right eye; and the left was normal.
Temporary pelvi-femoral external fixation versus skeletal traction for displaced pertrochanteric fractures in the young: a retrospective case control study
Authors: Yang Qing , Gao Rufeng 
Published: January 2023

Abstract
Background: Initial treatment of displaced pertrochanteric fractures in the young is extremely different with the elderly for high rate of co-morbidities. Comparing to skeletal traction (ST), temporary pelvic-femoral external fixation (PPEF) via the anterior inferior iliac spine could produce improved outcome.
Methods: 46 young polytraumatic patients with displaced pertrochanteric factures (average age 38.0±8.5 years) were included and retrospectively analyzed between January 2015 and December 2018. ST involved in 23 patients, and PPEF involved in 23 patients as the initial treatment options when other body injuries were treated surgically. Definite treatment was performed when patients’ general conditions permitted. General characteristics, surgical data and functional outcome were recorded and compared grouply statistically.
Results: The PPEF group was identified to have more reduced visual analog scales(3.7±0.3 vs. 2.0±0.9), greater fracture reduction degrees(13.5±6.9 vs. 6.5±3.0), less definitive surgical time(45.1±6.6 min vs. 52.7±8.5 min), less varus angulation>5°（2 vs. 3），less limb shortening (0.5±0.2 vs. 0.7±0.3), and high percentage of excellent Harris Hip scores (73.9% vs. 30.4%) than the ST group. Although the latter had less initial surgical time, no blood loss, and unsignificant time interval to definite surgery, hospital days, bedsores, healing time, deaths.
Conclusion: PPEF via the anterior inferior iliac spine is proved to be an optimal temporary treatment protocol for displaced pertrochanteric fractures in the young polytraumatic patients.