bluuebunny/crossref_metadata_2025 huggingface dataset:
Mathematical Modeling of Fluconazole Resistance in the Ergosterol Pathway of
Candida albicans
Authors: Yu Paul K. , Moron-Espiritu Llewelyn S. , Lao Angelyn R.
Published: November 2022

Candidiasis is reported to be the most common fungal infection in the critical care setting, and it is caused by a commensal pathogen belonging to the genus
Candida
, the most common species of which is
Candida albicans
. The current antifungal agent of choice for the treatment of candidiasis is fluconazole, which is classified under the azole antifungals.
Supplemental Material: Climate and anthropogenic impacts on North American erosion and sediment transport since the Last Glacial Maximum: Evidence from the detrital zircon record of the Lower Mississippi Valley, USA
Authors: Neubeck Nikki , Clift Peter D. , al. et
Published: November 2022

Analytical methods, regional geological summary, zircon age compilation, and statistical testing of zircon U-Pb spectra. Figures S1–S8. Tables S1–S5.
Further considerations about the traversability of thin-shell wormholes
Authors: de Celis E. Rubín , Simeone C.
Published: November 2022

Traversability in relation with tides in thin-shell wormholes is revisited to investigate the possibility of improving recently noted restrictive conditions for a safe travel across a wormhole throat. We consider wormholes mathematically constructed starting from background geometries which are solutions of scalar–tensor theories as dilaton gravity and Brans–Dicke gravity. The advantages of working within such frameworks are studied by examining the dependence of the extrinsic curvature and tides at the throat with the parameters determining the departure from pure relativity; the associated behaviour of tides in the smooth regions of the geometries is also analyzed. Other related but different approaches within pure relativity are discussed in the appendices.
Lattice studies of supersymmetric gauge theories
Authors: Schaich David
Published: November 2022

Supersymmetry plays prominent roles in the study of quantum field theory and in many proposals for potential new physics beyond the standard model. Lattice field theory provides a non-perturbative regularization suitable for strongly interacting systems. This invited review briefly summarizes significant recent progress in lattice investigations of supersymmetric field theories, as well as some of the challenges that remain to be overcome. I focus on progress in three areas: supersymmetric Yang–Mills (SYM) theories in fewer than four space-time dimensions, as well as both minimal$${\mathcal {N}} = 1$$N=1SYM and maximal$${\mathcal {N}} = 4$$N=4SYM in four dimensions. I also highlight superQCD and sign problems as prominent challenges that will be important to address in future work.
Crowd abnormal event detection based on motion entropy and dual support vector data description
Authors: Zong Xinlu , Chen Zhen , Zhang Lu
Published: November 2022

Abnormal event detection is a popular research direction in the field of intelligent transportation and public safety. The features that characterize abnormal events are extracted from given video sequence through computer vision technology. Then the abnormal events in the video are automatically detected through the classification model. In order to describe the motion characteristics of events more accurately, a new feature based on motion entropy is proposed in this paper. The entropy value of motion pixels in the video frame is calculated as the input feature of the classification model. Motion entropy is suitable to regard as a feature to distinguish normal events from abnormal events due to the big differences between normal and abnormal events. In addition, an abnormal event detection model based on motion entropy and dual support vector data description (ME-DSVDD) is presented to solve the problem of insufficient sample diversity. The standard data set is tested to analyze the performance of the proposed model. The experimental results show that the proposed method can effectively improve the performance of the abnormal event detection model.
Improved Seven-Level Multilevel DC-Link Inverter with Novel Carrier PWM Technique
Authors: Sanka Sreelakshmi , Sujatha M. S. , Rahul Jammy Ramesh
Published: November 2022

Multilevel inverters have emerged as a viable alternative for various power electronic applications. It offers significant features in terms of reduced total harmonic distortion (THD) due to more number of output voltage levels, lower filter size, and voltage stress and reduced switching losses when compared to conventional two-level inverters. The classical topologies such as neutral point clamped, flying capacitor and cascaded H-bridge (CHB) are very popular for industrial applications. All these topologies have limitations in terms of more component count, capacitor voltage balancing for increased number of voltage levels. In this regard, multi-level DC link (MLDCL) inverter has been introduced as an improvement with respect to CHB MLI in terms of reduced switch count and is considered here for the study. This paper presents a single-phase MLDC link inverter with a modified carrier-based level-shifted phase disposition sinusoidal pulse width modulation (LS-PD-SPWM) technique. The proposed novel carrier PWM is compared with the conventional modulation techniques in terms of THD. The performance of the proposed modulation technique is analyzed through simulation studies in MATLAB software. A laboratory prototype model is developed in order to validate the experimental results.
A Hybrid Multiple Models Transfer Approach for Cross-Project Software Defect Prediction
Authors: Zhang Shenggang , Jiang Shujuan , Yan Yue
Published: November 2022

For a new project, it is impossible to get a reliable prediction model because of the lack of sufficient training data. To solve the problem, researchers proposed cross-project defect prediction (CPDP). For CPDP, most researchers focus on how to reduce the distribution difference between training data and test data, and ignore the impact of class imbalance on prediction performance. This paper proposes a hybrid multiple models transfer approach (HMMTA) for cross-project software defect prediction. First, several instances that are most similar to each target project instance are selected from all source projects to form the training data. Second, the same number of instances as that of the defected class are randomly selected from all the non-defect class in each iteration. Next, instances selected from the non-defect classes and all defected class instances are combined to form the training data. Third, the transfer learning method called ETrAdaBoost is used to iteratively construct multiple prediction models. Finally, the prediction models obtained from multiple iterations are integrated by the ensemble learning method to obtain the final prediction model. We evaluate our approach on 53 projects from AEEEM, PROMISE, SOFTLAB and ReLink four defect repositories, and compare it with 10 baseline CPDP approaches. The experimental results show that the prediction performance of our approach significantly outperforms the state-of-the-art CPDP methods. Besides, we also find that our approach has the comparable prediction performance as within-project defect prediction (WPDP) approaches. These experimental results demonstrate the effectiveness of HMMTA approach for CPDP.
Multimodal Biometrics Authentication in Healthcare Using Improved Convolution Deep Learning Model
Authors: Balaji S , Rahamathunnisa U
Published: November 2022

In healthcare applications, biometric authentication is crucial in managing patient credential details. The limited usage of biometric traits causes personal details theft, treatment hacking, and payment hijacking. Multimodal biometrics should incorporate into the healthcare system to maintain security and privacy in healthcare applications. Previous methods ensure authentication and security consume high computation complexity and fail to maintain system reliability and scalability. Therefore, in this work, an improved convolution deep learning model (ICDLM) is applied to manage the patient traits in the healthcare center. Initially, Experimentation is conducted with SWAN DATASET, which consists of face, voice, and periocular biometric features. The biometric characteristics are investigated according to the super point convolution neural model. The model analyzes the trait descriptors and interest points to identify the patterns. The extracted patterns are utilized to match the patient while accessing the information in healthcare applications. This process uses template pattern matching (TPM), which minimizes the absolute difference while authenticating the users. The system’s efficiency implemented using Python and excellency is compared with traditional approaches. The system attains 98.31% and 98.67% accuracy on the number of users and attempts with a minimum false identification rate of 0.0125 and 0.0128 for several users and attempts.
Wind-Induced Impact Behavior of Base-Isolated High-Rise Buildings with Adjacent Structures
Authors: Yang Qingshan , Pang Huawei , Liu Min , Wang Qi , Li Zhihao , Li Bo
Published: November 2022

The base-isolation technology has been increasingly applied in high-rise buildings in recent years. Previous studies have shown that the unfavorable wind-induced response can be effectively reduced by a certain degree of hysteretic energy dissipation after the yielding of the isolation system under strong wind load. However, a large relative inelastic displacement at the isolation level will occur under this condition, which is likely to exceed the width of seismic gap, and cause a structural impact with the adjacent structures (i.e. retaining wall or other barriers). Such wind-induced impacts may have detrimental consequences on the structural performance and have not been investigated much before. This study prospectively investigated the wind-induced impact behavior of base-isolated high-rise buildings with adjacent structures. The multi-story superstructure is modeled as a linear elastic shear building, while the isolation system is represented by bilinear hysteresis restoring force model. An impact element combined with linear spring and damper is used. The story wind load is determined by its cross power spectral density (PSD). Responses for two kinds of typical impact including crosswind and along-wind impact are examined by time history analysis. The results demonstrate that the impact will increase the fluctuation components of superstructure displacement, shear force and bending moment to some extent compared with that of the base-isolated building without impact. The floor accelerations, especially floors close to the base, are significantly increased during impact. The impact has no effect on the mean component of each response. At last, a parametric analysis is carried out to explore the influences of various impact parameters on the inelastic impact response. The results of this study can help to better understand the impact behavior of base-isolated high-rise buildings under strong wind excitation and be useful for performance-based wind resistance design.
Derivations acting on open subsets in Banach algebras
Authors: Hermas Abderrahman , Oukhtite Lahcen
Published: November 2022

In this paper, we show that some additive mappings of a Banach algebra are derivations. Moreover, we exhibit some commutativity criteria for a prime Banach algebra [Formula: see text] admitting a derivation satisfying certain algebraic identities.
Mental Health Monitoring and Detection Based on Machine Learning and IoT Data
Authors: Mohsen Belal , Al-Khaleel Osama , Alfadhly Abdullah
Published: November 2022

Recently, the Internet of Things (IoT) has become a buzzword in various technology fields because of its many applications. Healthcare is one of the most important fields in daily life and holds significant interest for IoT and artificial intelligence researchers. In the area of healthcare, the mental healthcare field has attracted many researchers and funding organizations for various reasons. Among those reasons are the adverse impact of mental conditions on both individuals and society, the high costs of mental care, the nature of mental conditions and their hidden and unclear symptoms, and the stigma associated with them. In this work, an approach to building an IoT mental health monitoring and detection system has been proposed. The depression problem is used as a case study for the mental conditions. The proposed approach involves data collection, data pre-processing, feature extraction, feature selection, and model building. Machine learning (ML) and data mining techniques, along with different data types for training and testing the models, have been utilized to accomplish the tasks of the proposed approach. Four ML algorithms have been investigated to detect and predict the diagnosis of the mental state. These algorithms are random forest, decision tree, support vector machine (SVM) and k-nearest neighbors (KNN). Our ML detection model has achieved a high detection accuracy of 95% using the random forest algorithm. Comparisons in different aspects with other works are presented. Our work has the advantages of using ML, adopting different data types, and therefore achieving better classification.
Quantification of the presence of enzymes in gelatin zymography using the Gini index
Authors: López Lobato Adriana Laura , Garrido Martha Lorena Avendaño , Mesa Héctor Gabriel Acosta , Sampieri Clara Luz , Lozano Víctor Hugo Sandoval
Published: November 2022

Gel zymography quantifies the activity of certain enzymes in tumor processes. These enzymes are widely used in medical diagnosis. In order to analyze them, experts classify the zymography spots into various classes according to their tonalities. This classification is done by visual analysis, which is what makes it a subjective process. This work proposes a methodology to carry out this classifications with a process that involves an unsupervised learning algorithm in the images, denoted as the GI algorithm. With the experiments shown in this paper, this methodology could constitute a tool that bioinformatics scientists can trust to perform the desired classification since it is a quantitative indicator to order the enzymatic activity of the spots in a zymography.
Eagle Vision-Based Coordinate Landing Control Framework of Unmanned Aerial Vehicles on an Unmanned Surface Vehicle
Authors: Yuan Yang , Xu Xiaobin , Duan Haibin , Zeng Zhigang , Xu Dukun , Chen Rujia , Wu Tongyan
Published: November 2022

The coordinate landing control of the unmanned aerial vehicles (UAVs) is a key technology to expand the cooperation between the UAVs and the unmanned surface vehicle (USV). This paper provides an eagle vision-based coordinate landing control framework for the UAV swarm landing on a USV. Back-stepping controller is designed to guarantee that the tracking errors in both of the approaching stage and the landing stage converge to zero. Eagle vision is applied in the visual navigation to improve the landing accuracy. The experiment verified the feasibility of the proposed method.
Computational Models of Anaphora
Authors: Poesio Massimo , Yu Juntao , Paun Silviu , Aloraini Abdulrahman , Lu Pengcheng , Haber Janosch , Cokal Derya
Published: November 2022

Interpreting anaphoric references is a fundamental aspect of our language competence that has long attracted the attention of computational linguists. The appearance of ever-larger anaphorically annotated data sets covering more and more anaphoric phenomena in ever-greater detail has spurred the development of increasingly more sophisticated computational models; as a result, the most recent state-of-the-art neural models are able to achieve impressive performance by leveraging linguistic, lexical, discourse, and encyclopedic information. This article provides a thorough survey of anaphora resolution (coreference) throughout this development, reviewing the available data sets and covering both the preneural history of the field and—in more detail—current neural models, including research on less-studied aspects of anaphoric interpretation such as bridging reference resolution and discourse deixis interpretation.
Highly Efficient Inner Surface Polishing of Fe-Cr-Ni Alloy Cylinder via Isotropically Tuned Electrochemical Etching
Authors: Khan Muhammad Ajmal , Zhan Zejin , Yi Rong , Ji Jianwei , Zhang Linfeng , Zhang Xinquan , Deng Hui
Published: November 2022

In this study, the inner surface of a Fe-Cr-Ni alloy cylinder produced through extrusion is processed by electrochemical isotropic etching polishing (IEP). The electric field simulation predicted a high current density at protrudes, pertinent for passivation layer breakdown and proficient dissolution. Initially, the effect of cathode diameter and current density was investigated on planarization and current efficiencies, material removal rate (MRR), and etching behavior of IEP of grinded Fe-Cr-Ni alloy. IEP of the as-extruded inner surface realized a 94% improvement in the Sa roughness (from 5.33 μm to 0.34 μm), while the initial surface morphology and instantaneously breaking metal lumps seriously influenced the final Sa roughness and polishing duration. Furthermore, the as-extruded and grinded Fe-Cr-Ni alloy substrates were polished simultaneously, whereupon the IEP of the latter produced a mirror-like, highly uniform, and mechanically superior surface with 37% higher planarization efficiency and 19% greater wall thickness. However, due to falling off metal lumps, the IEP of the as-extruded substrate registered higher current efficiency (∼38%) than the grinded substrate (∼30%). IEP realizing a rapid improvement in the line profile and Ra roughness of the grinded Fe-Cr-Ni alloy shows that IEP can efficiently improve the performance of functional inner surfaces to application grade.
Zn−Doped and CNTs-Incorporated Polyaniline as High-Performance Cathode for Aqueous Zinc-Ion Batteries
Authors: Xie Wen , Yang Wenxian , Xie Ping , Xie Wenjiang
Published: November 2022

Polyaniline (PANI) has good electrical conductivity, diverse redox chemistry, and a unique doping/dedoping mechanism. Furthermore, the facile synthesis, controllable morphology, and the ability to grow in situ on substrates provide the impetus to obtain aqueous Zn-ion batteries (ZIBs) with PANI as a cathode. However, due to its poor redox reversibility in a near-neutral electrolyte environment, the resulting ZIBs have a rapid capacity drop, poor rate performance, and poor cycling stability. To improve the electrochemical performance of PANI cathodes in ZIBs, zinc ions are doped into PANI and incorporated with carbon nanotubes (CNTs) by one-step polymerization. The results show that the use of Zn-doped PANI and CNTs composites can enhance the conductivity and stability of PANI, and further improve the capacities, rate performances, and cycle life of the ZIBs. The battery assembled with an optimized PANI-based cathode exhibits a high specific discharge capacity of 156.7 mAh g−1 at 0.05 Ag−1, and excellent capacity retention of 95% after 800 charge/discharge cycles. Additionally, the Zn//PANI battery shows a promising energy density of 166.7 Wh kg−1, together with a power density of 111.2 W kg−1. Such Zn ion-doped PANI-CNTs cathode material may provide significant insight into future large-scale industrial production for Zn//PANI batteries.
Juvenile Myelomonocytic Leukemia in a Child: A Case Report of Palliative Chemotherapy and Literature Review Applied to Limited Resources Centers
Authors: Yolanda Natharina , Gunawan Stefanus , Mantik Max F. J. , Veerman Anjo J. P.
Published: November 2022

Juvenile myelomonocytic leukemia (JMML) is a rare hematopoietic malignancy in children, with an incidence of 1.2 per million children per year. At this moment, we present a case report and a brief literature review of JMML in a child, primarily focused on its applicability in low-middle income countries. A 3.5-year-old male was referred to our tertiary center due to pallor, enlarging abdomen and neck mass, recurrent fever, and chronic diarrhea. Initial laboratory workup showed hemoglobin of 6.4 g/dl, white blood cell of 315.62 × 103/μL, and platelet of 17 × 103/μL. Blood smears showed 10% suspected blasts, 17% myelocytes, and 17% metamyelocytes with thrombocytopenic crisis. The HbF level was 5.8%. BCR-ABL gene tested negative. The patient was diagnosed with juvenile myelomonocytic leukemia. Considering that HSCT could not be done in our center and lack other financial possibilities to seek treatment abroad, the family agreed to do the palliative treatment. The patient was treated with oral 6-mercaptopurine and subcutaneous cytarabine. Four weeks after receiving 6-mercaptopurine, the white blood cell count decreased to 10.6 × 103/μL and the spleen size was half of the original size. The patient continued chemotherapy until week 15, chemotherapy was stopped, but 16 weeks after the diagnosis of JMML, he developed severe thrombocytopenia, endophthalmitis, and sepsis and passed away. As a conclusion, in JMML cases in developing countries without HSCT, palliative chemotherapy is acceptable, and palliative care is an important aspect.
Comparative Study on Combustion and Flame Characteristics of Laminar Methane/Air and N-Butane/Air Flames in a Micro-Slot Burner
Authors: Sheykhbaglou Soroush , Robati Seyed Mostafa
Published: November 2022

Combustion and flame characteristics of laminar methane/air and n-butane/air flames in a 3D-printed micro-slot burner is compared and reported in this study. The stability limit, flame appearance, and emission performance are investigated experimentally. In addition, past research on conventional burners is compared with the results of this study throughout the paper. The construction of this micro-slot burner was met by selective laser melting (SLM) process. Flame characteristics such as lift-off height, length, visible area, maximum width, and neck width are obtained using an image processing algorithm and are examined at different fuel and airflow rates. The results show that the blow-out limits of methane/air and n-butane/air flames are almost the same when compared at the same volume flow rates, although the methane/air flames are more stable than n-butane/air flames at the same thermal input powers. A region of interesting rope-like oscillatory flames (that has never been seen before in conventional burners) is observed in a small portion of a stable region for n-butane with a period ranging from

75.0

to

210.0
 
m
s

. It is also observed that the fuel type and fuel and airflow rates affect the flame shape and appearance and the flames formed by heavier fuel (n-butane) have longer length, lift-off height, maximum width, and visible area and lower neck width. Furthermore, methane/air flames exhibit lower values of

C
O

and higher values of

N
O

x

in the flue gas when compared to n-butane/air flames.
A Novel Filtering Power Divider Based on Ring Resonator
Authors: Xia Yong , Wei Feng , Shi Xiaowei
Published: November 2022

In this paper, a compact dual-band filtering power divider (FPD) combined by conventional Wilkinson power divider and dual-mode resonators is proposed. The resonators submitting the quarter wavelength transmission line can act as a filter. The proposed resonator is composed of two cascading symmetrical ring branches connected to the ground in the middle. The inter-digital coupling structure constitutes the feed lines of the band-pass filter (BPF) operating at 2.45/5.8 G. The resonator with symmetrical structure is analyzed by the odd-even mode method in detail. The two resonant frequencies can be adjusted by the length of the stub separately. In addition, two isolation resistors are placed at proper position for ensuring the isolation effect. The proposed FPD is fabricated for verifying simulation results, and good agreements between the simulated and measured results are achieved here.
The Strong Stability of Optimal Nonlinear Dynamical System in Batch Fermentation
Authors: Wang Hongli , Tan Bing , Gao Xiaohua , Feng Enmin
Published: November 2022

For the bio‐dissimilation of glycerol to 1,3‐propanediol by Klebsiella pneumoniae, the nonlinear dynamical system of the complex metabolism in microbial batch fermentation is studied in this study. Since the analytical solution and equilibrium point cannot be found for the nonlinear dynamical system of batch fermentation, the system stability cannot be analyzed using general methods. Therefore, in this study, the stability of the system is analyzed from another angle. We present the corresponding linear variational system for the solution to the nonlinear dynamical system of complex metabolism. In addition, the boundedness of fundamental matrix solutions for the linear variational system is obtained. With this in mind, strong stability with respect to the perturbation of the initial state vector is proved for the nonlinear dynamical system of the complex metabolism.
Inflammatory Response and Immune Regulation in Brain-Heart Interaction after Stroke
Authors: Zou Lihua , Han Ruquan
Published: November 2022

Cerebrocardiac syndrome (CCS) is one of the secondary myocardial injuries after stroke. Cerebrocardiac syndrome may result in a poor prognosis with high mortality. Understanding the mechanism of the brain-heart interaction may be crucial for clinical treatment of pathological changes in CCS. Accumulating evidence suggests that the inflammatory response is involved in the brain-heart interaction after stroke. Systemic inflammatory response syndrome (SIRS) evoked by stroke may injure myocardial cells directly, in which the interplay between inflammatory response, oxidative stress, cardiac sympathetic/parasympathetic dysfunction, and splenic immunoregulation may be also the key pathophysiology factor. This review article summarizes the current understanding of inflammatory response and immune regulation in brain-heart interaction after stroke.
Efficacy of Lazolex® Gel in the Treatment of Herpes Simplex Mucocutaneous Infections and the Prevention of Recurrences: A Pilot Study
Authors: Kituashvili Tina A. , Kvirkvelia Vakhtang G. , Galdava George G. , Archvadze Nino G.
Published: November 2022

Background. Previous in vitro and in vivo studies indicated that walnut extract has a therapeutic effect on herpes simplex infections. This study aimed to evaluate the efficacy and tolerance of Lazolex® Gel (Iveriapharma, Tbilisi, Georgia), an emollient gel to treat mucocutaneous lesions caused by herpes simplex virus. Methods. A single-center, single-arm, open-label, phase II clinical trial was conducted with 30 patients divided into two groups: 15 patients with herpes simplex virus type 1 (HSV-1) infections and 15 with herpes simplex virus type 2 (HSV-2). All received topical treatment with Lazolex® Gel four times a day for 10 days. The efficacy and tolerance of the treatment were evaluated on day 10 and day 20 of the study. Recurrence rates were also evaluated both prior to treatment with Lazolex® and over a 4-year follow-up period subsequent to treatment. Results. The median effective time to resolution of symptoms (itching, burning, and pain) was 1.97 days in the HSV-1 group and 3.11 days in the HSV-2 group. The median effective time for vesicles and erosion to disappear was 3.64 days in the HSV-1 group and 3.88 days for the HSV-2 group. Finally, the median effective time for inflammatory signs to disappear was 5.70 and 4.32 days, respectively. Following treatment with Lazolex® Gel, the frequency of outbreaks decreased from a median of 2.00 and 1.00 times per year in the HSV-1 and HSV-2 cohorts to 0.25 and 0.00 (

p
=
0.001

and

p
=
0.003

), respectively. Conclusions. Topical treatment with Lazolex® Gel applied to lesions four times a day for 10 days was shown to be effective and safe in the treatment of herpes simplex mucocutaneous infections and dramatically reduced the rate of recurrence. Clinical trial was approved by Drug Agency of Ministry of Labour, Health and Social Affairs of Georgia, registration # DA Nº CT-000032, date of approval 01.10.2007.
Robust Hybrid Controller Design to Stabilise an Underactuated Robot Vehicle under Various Input
Authors: Hussein Yomna Sabah , Kamil Haider Galil , Al-Moadhen Ahmed Abdulhadi
Published: November 2022

This paper presents the design of the control system for a robot vehicle with two wheels that mimics a double Inverted Pendulum (IP) system with an extendable payload. By expanding the degrees of freedom, the system is more flexible. Still, this model posed challenges for control of parts of the system, including the proper balancing of the intermediate body and angular displacement of both wheels and lifting the payload to the demanded height. In this paper, a hybrid control system that incorporates more than one type of controller which combined proportional integral derivative (PID), proportional derivative (PD), and fuzzy logic control (FLC) these controllers are designed for stabilising the aforementioned system. The controller was validated by applying different input signals to the payload actuator to prove the control system’s stability and analyse the system's behaviour. The simulation results were satisfactory for the hybrid control technique. The wheels successfully stabilised within 1.2682 s. Further, the first and second links stabilised at 9.5953 s and 9.6467 s, respectively. The payload approximately produces the same input signal applied to the payload actuator. The model was derived using the Euler–Lagrange equation. The equations are solved using kinetic energy and potential energy which employs for motion. Simulation results of the two-wheeled robot vehicle with extendable payload designed with hybrid control systems are implemented using MATLAB/Simulink environment.
Effects of Variations of SUSY Breaking Scale on Neutrino Parameters at Low Energy Scale under Radiative Corrections
Authors: Devi Kh. Helensana , Singh K. Sashikanta , Singh N. Nimai
Published: November 2022

The paper addresses the effects of the variations of the SUSY breaking scale

m

s

in the range (2-14) TeV on the three neutrino masses and mixings, in running the renormalization group equations (RGEs) for different input values of high energy seesaw scale

M

R

, and in both normal and inverted hierarchical neutrino mass models. The present investigation is a continuation of the earlier works based on the variation of

m

s

scale. Two approaches are adopted one after another—bottom-up approach for running gauge and Yukawa couplings from low to high energy scale, followed by the top-down approach from high to low energy scale for running neutrino parameters defined at high energy scale, along with gauge and Yukawa couplings. A self-complementarity relation among three mixing angles is also employed in the analysis and it is found to be stable under radiative correction. Significant effect due to radiative corrections on neutrino parameters with the variation of SUSY breaking scale

m

s

is observed. For comparison of the results, variation of

tan
β

for different

M

R

is also considered.
Quantitative Analysis of the Acceptance and Learning Success Instead of Flipped Classroom Teaching in a Caries Diagnosis Course for Undergraduate Students
Authors: Bizhang Mozhgan , Zimmer Stefan , Ehlers Jan P.
Published: November 2022

This pilot study aimed to investigate the effectiveness of a flipped classroom for undergraduate students in dentistry. The main objective was to compare the knowledge level of students before and after lectures and practice. All second-year dental students (n = 44) at Witten/Herdecke University participated in this pilot study. They took four knowledge assessments, i.e., T0: the baseline, T2a: after the online lecture (two weeks after T0), T2b: immediately after the face-to-face session, and T3: after the practical session (three weeks after T2). The students’ satisfaction and self-assessment of their abilities were determined immediately after the practical session in an anonymous online questionnaire using LimeSurvey. To assess the level of knowledge, we used the Friedman and Wilcoxon-signed-rank tests with the Bonferroni correction to analyze the correct answer by comparing the results from different sessions. The students’ satisfaction and self-assessment of their abilities were determined descriptively, presenting the mean and standard deviation. A significance level of

p

 ≤ 0.05 was applied. Data from thirty-nine students regarding the level of knowledge were analyzed. There were statistically significant differences in the level of knowledge of the students at different times (

p

 = 0.001). A total of 19.5% of students reported a problem with the flipped classroom method, and 80.5% reported no problem with this educational method. Ninety-four percent of students would like further flipped classrooms in dental education. Within the limitations of this pilot study, the results suggest that dental students benefit from the flipped classroom method and that this mode of education can be effective in introducing caries diagnosis education for undergraduate students.
A Novel Universal Applicability Design Method for Low Cross-Polarization Terahertz Tri-Reflector CATR
Authors: Li Zhi , Yao Yuan , Chen Tianyang , Zhang Liang , Yu Junsheng , Chen Xiaodong
Published: November 2022

In this paper, a novel design approach with universal applicability is proposed for realizing a low cross-polarized terahertz tri-reflector compact antenna test range (CATR). This approach not only enables the radiation direction of the feed relative to the main reflector to be designed arbitrarily but also enables the designed CATR systems corresponding to different feed rotation angles while still maintaining a low cross-polarization. By using the beam mode analysis method and cross-polarization elimination conditions, the geometric configurations of the tri-reflector CATR can be designed for feeds in any different rotation angles, and then according to the kinematic and dynamic ray-tracing method with frequency independence in geometric optics, shaped subreflectors can also be synthesized. Through the above design procedure, four tri-reflector CATRs corresponding to four different feed rotation angles have been achieved, respectively. Numerical simulation results show that the cross-polarizations of four tri-reflector CATRs are all less than –38 dB and the peak-to-peak amplitude (phase) ripples of the quiet zone (QZ) are all within 1 dB (10°) in the frequency range of 100–500 GHz. This demonstrates the effectiveness and universal applicability of the proposed design method in realizing the design of low cross-polarization and good QZ performance for tri-reflector CATRs with different feed rotation angles.
A Wideband Eight-Element MIMO Antenna Array in 5G NR n77/78/79 and WLAN-5GHz Bands for 5G Smartphone Applications
Authors: Jiang Jun-Yi , Su Hsin-Lung
Published: November 2022

In this paper, a wideband eight-element multiple-input multiple-output (MIMO) antenna array for 5G smartphone applications is presented. Each antenna is composed of a dual-arm tortuous monopole radiating element with a double-stub tuner and an open slot on the ground plane. Tuning stub microstrip lines are utilized to improve impedance matching. The operating bandwidth of the single antenna element is from 3200 to 6000 MHz with three resonant frequencies. The operating bandwidth covers the 5G new radio (NR) bands (n77/n78/n79) and the WLAN-5GHz band. The isolation of the proposed MIMO antenna array is above 10 dB in the entire operating band without any isolation elements. Furthermore, the proposed MIMO array was manufactured and measured. The measured results validate that the MIMO antenna array has a wide 6-dB impedance bandwidth from 3.2 to 6 GHz and the isolations are all more than 10 dB. The total efficiency ranges from 38% to 83%. The above results show that this MIMO antenna array can support 5G applications in smartphones.
A Novel Structural Modification Method for Vibration Reduction: Stiffness Sensitivity Analysis with Principal Strain Application
Authors: Hong Jiajun , Yoshimura Takuya
Published: November 2022

This paper proposes a stiffness sensitivity analysis with principal strain application to decrease the out-of-plane vibration, which is the main source of the sound radiation of mechanical structures with thin plate parts. The sensitivity is evaluated as a differential coefficient of the target response with respect to the design variable, e.g., stiffness or mass. For suppressing the out-of-plane vibration, we pay attention to finding an appropriate location on the structure to add local stiffness. The location is decided according to stiffness sensitivity analysis results. The compliance frequency response function (FRF) is considered as the target response, and the thickness of stiffener is considered as the design variable. The validity of the proposed method is examined through numerical simulation with a finite element method (FEM) model of a thin plate. The modal principal strain distributions, stiffness sensitivity, and FRF changes by local thickening are calculated based on 4 selected natural modes. It is also examined by the experimental approach. The expected reduction of the response is attained by adding the stiffener (a thin stainless plate) to the appropriate location on the plate.
How Rootstocks Impact the Scion Vigour and Vine Performance of Vitis vinifera L. cv. Tempranillo
Authors: Pou Alicia , Rivacoba Luis , Portu Javier , Mairata Andreu , Labarga David , García-Escudero Enrique , Martín Ignacio
Published: November 2022

Background and Aim. The genetically determined characteristics of grapevine rootstocks are important factors that affect scion performance. This 3 years’ field study aimed to characterize the influence of four well-established 30-year-old rootstocks (110 Richter, 1103 Paulsen, 41B, and 161-49Couderc) on the Tempranillo cultivar in the semiarid wine growing region of D.O.Ca. Rioja, North-Eastern Spain. Methods and Results. Nutrient concentrations of mineral elements at flowering and veraison were determined in the vines, jointly with grapevine-water status, gas exchange, vine vigour, and chlorophyll content. Moreover, grapevine yield and grape quality were determined at harvest. The least vigorous rootstocks (41B, 161-49C) conferred drought adaptability traits by increasing water use efficiency (WUE) and decreasing whole-plant water conductance per unit leaf area (Kplant) compared to the more vigorous rootstocks (1103-P, 110-R). In contrast, the more vigorous rootstocks increased water transport capacity, which led to higher plant performance and nutrient uptake efficiency. At flowering, 1103-P and to a lesser extent, 110-R were most efficient at taking up nutrients, while 161-49C had the lowest concentrations for most nutrients. At veraison, 41B exhibited closer behaviour to 110-R than 161-49C, while 1103-P and 161-49C remained the most differentiated rootstocks, with higher and lower nutrient uptake, respectively. In addition, compared to the more vigorous rootstocks, the yield was up to 1.6 kg lower for the less vigorous rootstocks but the grape composition was improved. Notably, 161-49C led to higher total soluble solids, total acidity, and polyphenol content. Conclusions. Overall, grafting onto specific rootstocks represents a strategy to confer differential regulation of grapevine water-saving strategies, yield, berry quality, and nutrient uptake potential. Significance of the Study. This information may be useful for growers seeking to develop a site-specific selection of rootstocks for the grafted Tempranillo cv.
Old Dog, New Trick: A Tumor-Intrinsic Role for PD-1 in Chemoresistant Tumor Subclones
Authors: Augustin Ryan C. , Bao Riyue , Luke Jason J.
Published: November 2022

Programmed cell death protein 1 (PD-1) is a well-known driver of immunosuppression and lymphocyte-associated disease progression. Increasing evidence suggests a tumor-intrinsic role for PD-1 in promoting chemoresistance via stem-like features. Moving forward, a recent study implies a novel antitumor mechanism for PD-1 inhibition.

See related article by Rotolo et al., p. 621
Methane emission and rice growth on clayey soil under controlled water regime
Authors: Kaharuddin Kaharuddin , Gusli Sikstus , Jayadi Muh , Dachlan Amirullah , Ilham Andi Muh.
Published: November 2022

Conventional lowland rice cultivation involves flooding the paddy from planting to close to harvest, and high N fertilization. This practice leads to large amount of methane emissions. We studied the effect of soil water regime control on methane gas emissions and growth of several rice varieties on clayey soil. The experiment was arranged according to Split Plot Design. The main plot was water regime, i.e. continuous flooding (2-cm inundation), and intermittent flooding (flooded 2 cm then allowed to dry until the soil started to cracks). The sub-plots consisted of 3 rice varieties, i.e. Inpari 32, Mekongga, and Cisadane. Together, there were six treatment combinations, repeated 4 times. We measured methane emission, plant height, number of tillers per clump, number of productive tillers, and root volume. We computed analysis of variance, then performed Duncan Multiple Range Test. We found, at 57 and 73 days after planting, continuous flooding resulted in much (statistically) higher methane gas emissions than intermittent flooding (about 2 times greater for both Inpari and Cisadane, and 5 times greater for Mekongga). The two water regimes examined did not result in differences in plant height, number of tillers, productive tillers and root volume of the three varieties, although the flooded treatment tended to slightly give taller plant, more tillers and productive tillers. In conclusion, intermittent flooding significantly suppresses methane emission compared to continuous flooding. However, certain rice variety produces more methane than others. While intermittent flooding reduced methane emission, it did not statistically affect rice growth compared to continuous flooding.
Composition, structure, and level of weed diversity in oil palm plantation in Pagar Merbau Village, Tanjung Morawa, Indonesia
Authors: Sitinjak Rama R.
Published: November 2022

Weed vegetation growth affects the growth and production of oil palm plants. To control weeds in plantation land, especially by using herbicides or bioherbicides, weed vegetation analysis is needed. This research was conducted to determine the composition, structure, and level of diversity of weeds in oil palm plantations owned by the community of Pagar Merbau village, Tanjung Morawa District. The method used is a descriptive method with sampling technique done by porposive sampling. The results of the analysis showed that weeds found were 7 families, 10 species, and 3153 individuals. Weed species found were: Clidemia hirta, Borreria alata, Mimosa invisa, Setaria barbata, Ageratum conyzoides, Paspalum conjugatum, Ottochloa nodosa, Cyclosorus aridus, Calopogonium mucudoines, Ophioglossum reticulatum. Ottochloa nodosa is a type of weed that has the highest importance value index 66.52% (1323 individuals) and Setaria barbata is a type of weed that has the lowest important value index of 1.00% (4 individuals). Weed diversity index in this oil palm plantation is in the moderate category (H '= 1.3741). The weed control system to be carried out in this oil palm plantation must consider the dosage and types of herbicides and bioherbicides used so that it does not have the potential to reduce the level of diversity of weeds of grass or broadleaf weeds.
Mulching as soil moisture conservation to improve physiological traits in maize (Zea mays L.)
Authors: Aung Zin Mar , Zar Thu
Published: November 2022

Field experiments were conducted at Yezin farm and Sepin research farm, Yamethin, Myanmar to study the effect of different mulching materials on percent reduction of soil moisture content and physiological traits in Yezin and Yamethin. Randomized complete block design (RCB) was used with three replications from October, 2019 to March, 2020. Rice straw mulching (T2), rice husk mulching (T3), maize stover mulching (T4), mung bean stover mulching (T5), soybean stover mulching (T6) and white plastic polyethylene mulching (T7) and no mulching (T1) were tested with NK-621, variety. At Yezin, the minimum percent reduction of soil moisture content (45.89) was obtained from T2 and (76.79, 58.07) was resulted in T7 whereas the maximum percent reduction of soil moisture contents (76.93, 89.00, 83.93) were recorded from T1 at 14 DAI (Days after irrigation). At tasseling stage, the maximum photosynthesis rates (20.45 µmol m-2s-1) and (21.59 µmol m-2s-1) were observed from T2 at Yezin and Yamethin. At two locations, the maximum stomatal conductance (158.36 mmol m-2s-1) and (204.44 mmol m-2s-1) was observed from T2 at maximum growth stage. At maximum growth stage, the maximum SPAD values (33.90) and (53.98) were obtained from T6 at Yezin and T2 at Yamethin. The maximum five ears weight (1830.6 g) was recorded from rice straw mulching whereas the minimum five ears weight (1326.0 g) was resulted from no mulching at Yamethin. According to the results, rice straw mulching resulted in the highest physiological traits of maize, and white plastic polyethylene mulching recorded the minimum percent reduction of soil moisture content at Yezin and maize stover mulching at Yamethin.
Arte da Performance no Brasil: uma história em que acreditamos antes de que exista
Authors: Castanheira Ludmila
Published: November 2022

Este artigo visa evidenciar a arte da performance no Brasil como manifestação artística anterior à nomenclatura oficial. Reconhece os anos 1980 como fundamentais para a continuidade desta prática e versa sobre iniciativas que instauraram a performance arte como manifestação constante no universo artístico nacional, repisando a contribuição de profissionais da Educação para este panorama a partir de organizações autogestionadas. O quadro teórico conta com escritos de artistas e organizadores de suas obras, como Araújo (2012), Bezerra (2014), Castanheira (2018) e Vieira Jr (2016). A metodologia está emparada em nosso envolvimento com o universo da performance no Brasil, bem como com a rede de artistas que a sustenta.
Albano Pereira e seu Circo Universal na Porto Alegre oitocentista
Authors: Rocho Lara
Published: November 2022

Este artigo trata do artista e empresário circense Albano Pereira e de seu Circo Zoológico Universal em Porto Alegre, entre os anos de 1875-1878. tem como objetivo pensar a relevância da construção de um circo estável enquanto espaço de espetáculo, lazer e diversão num contexto de escassez e precariedade de espaços afins. Pretende-se, ainda, refletir sobre as ações de reforma e disciplinamento do uso do espaço urbano e, em meio a isso, verificar o lugar delegado à arte.
Ventos do Norte: notas sobre as vanguardas artísticas de Manaus (1950-1970)
Authors: Leão Howardinne Queiroz
Published: November 2022

O presente artigo fez parte da dissertação de mestrado, defendida em 2020, cujo foco esteve nas práticas teatrais do Amazonas. Nesta seção, busca-se evidenciar e sintetizar o movimento artístico de vanguarda da cidade de Manaus pelas linguagens artísticas que foram fundamentais na dinâmica de absorção das discussões vigentes da esquerda brasileira, entre as décadas de 1950 e 1970. O diálogo teórico perpassa autores da intelligentsia artística do período com estudiosos do teatro como João Roberto Faria e Marcelo Ridenti, aliado a pensadores do teatro nortista como Márcio Souza, Selda Vale e Ediney Azancoth. Esperamos que o leitor identifique os percursos produzidos pelos movimentos aqui discutidos para finalmente compreender os processos de transição que levaram Manaus a produzir um teatro moderno, do ponto de vista desses fenômenos.