bluuebunny/crossref_metadata_2025 huggingface dataset:
Soil Abandonment as a Trigger for Changes in Zn Fractionation in Afforested Former Vineyard Acidic Soils
Authors: Pérez-Rodríguez Paula , Nóvoa-Muñoz Juan Carlos , Arias-Estévez Manuel , Fernández-Calviño David
Published: October 2023

Zinc is an essential element for plant nutrition, but it may cause toxicity depending on its bioavailability and potential transformation in soil. In vineyard soils, high concentrations of Zn are usually found, mainly due to agricultural practices. However, a great abandonment of vineyards has recently occurred, leading to changes in the total and bioavailable Zn concentrations, as well as Zn fractionation. We analyzed Zn concentrations (total, ZnT, and bioavailable, ZnED) and fractionation in the soil of three paired sites (PM, PT, and AR) up to depths of 50 cm in active and adjacent abandoned vineyards that were already transformed into forests. The ZnT averaged at 210 mg kg−1 among all studied vineyards. The results showed changes in the vertical pattern ZnT concentrations after vineyard abandonment at the PM and PT sites, while at the AR site, no great variation occurred. The ZnED (mean values = 7 mg kg−1) decreased after abandonment at PM and AR in the uppermost surface layers, while it increased in the top 10 cm at the PT site, reaching up to 60 mg kg−1. Regarding Zn fractionation in active vineyards, the residual fraction (ZnR) was the most abundant, followed by Zn bound to crystalline Fe and Al oxy-hydroxides (ZnC) and Zn bound to soil organic matter (ZnOM). After abandonment, the ZnR slightly increased and the ZnC slightly decreased at the PM and AR sites at all depths, while the ZnOM showed a noticeable variation in the uppermost 10 cm of the PT site. These results suggest that the soil organic matter that is provided during afforestation may play an important role in Zn fractionation and mobilization, depending on its humification degree and chemical stability. Zn mobilization could result in a positive nutrient supply for plants, but caution must be taken, since an excess of Zn could cause toxicity in long-term abandoned vineyards.
Make It Less Complex: Autoencoder for Speckle Noise Removal—Application to Breast and Lung Ultrasound
Authors: Oliveira-Saraiva Duarte , Mendes João , Leote João , Gonzalez Filipe André , Garcia Nuno , Ferreira Hugo Alexandre , Matela Nuno
Published: October 2023

Ultrasound (US) imaging is used in the diagnosis and monitoring of COVID-19 and breast cancer. The presence of Speckle Noise (SN) is a downside to its usage since it decreases lesion conspicuity. Filters can be used to remove SN, but they involve time-consuming computation and parameter tuning. Several researchers have been developing complex Deep Learning (DL) models (150,000–500,000 parameters) for the removal of simulated added SN, without focusing on the real-world application of removing naturally occurring SN from original US images. Here, a simpler (<30,000 parameters) Convolutional Neural Network Autoencoder (CNN-AE) to remove SN from US images of the breast and lung is proposed. In order to do so, simulated SN was added to such US images, considering four different noise levels (σ = 0.05, 0.1, 0.2, 0.5). The original US images (N = 1227, breast + lung) were given as targets, while the noised US images served as the input. The Structural Similarity Index Measure (SSIM) and Peak Signal-to-Noise Ratio (PSNR) were used to compare the output of the CNN-AE and of the Median and Lee filters with the original US images. The CNN-AE outperformed the use of these classic filters for every noise level. To see how well the model removed naturally occurring SN from the original US images and to test its real-world applicability, a CNN model that differentiates malignant from benign breast lesions was developed. Several inputs were used to train the model (original, CNN-AE denoised, filter denoised, and noised US images). The use of the original US images resulted in the highest Matthews Correlation Coefficient (MCC) and accuracy values, while for sensitivity and negative predicted values, the CNN-AE-denoised US images (for higher σ values) achieved the best results. Our results demonstrate that the application of a simpler DL model for SN removal results in fewer misclassifications of malignant breast lesions in comparison to the use of original US images and the application of the Median filter. This shows that the use of a less-complex model and the focus on clinical practice applicability are relevant and should be considered in future studies.
Radio Number for Friendship Communication Networks
Authors: Alkasasbeh Ahmad H. , Badr Elsayed , Attiya Hala , Shabana Hanan M.
Published: October 2023

This paper investigates the radio labeling of friendship networks (F3,k,  F4,k,  F5,k, and  F6,k). In contrast, a mathematical model is proposed for determining the upper bound of radio numbers for (F3,k,  F4,k,  F5,k, and  F6,k). A computational investigation is presented to demonstrate that our results are superior to those of the past. In conclusion, the empirical study demonstrates that the proposed results surpass the previous ones in terms of the upper bound of the radio number and the run-time.
Order Book Dynamics with Liquidity Fluctuations: Asymptotic Analysis of Highly Competitive Regime
Authors: Rojas Helder , Logachov Artem , Yambartsev Anatoly
Published: October 2023

We introduce a class of Markov models to describe the bid–ask price dynamics in the presence of liquidity fluctuations. In a highly competitive regime, the spread evolution belongs to a class of Markov processes known as a population process with uniform catastrophes. Our mathematical analysis focuses on establishing the law of large numbers, the central limit theorem, and large deviations for this catastrophe-based model. Large deviation theory allows us to illustrate how huge deviations in the spread and prices can occur in the model. Moreover, our research highlights how these local trends and volatility are influenced by the typical values of the bid–ask spread. We calibrated the model parameters using available high-frequency data and conducted Monte Carlo numerical simulations to demonstrate its ability to reasonably replicate key phenomena in the presence of liquidity fluctuations.
The Combination of β-Glucan and Astragalus Polysaccharide Effectively Resists Nocardia seriolae Infection in Largemouth Bass (Micropterus salmoides)
Authors: Zhao Fengxia , Huo Xingchen , Wang Pengxu , Liu Qian , Yang Chunrong , Su Jianguo
Published: October 2023

Effectively treating and preventing outbreaks is crucial for improving the economic benefits of aquaculture. Therefore, utilizing immunostimulants, either alone or in combination, is regarded as a promising strategy. In this study, β-glucan + APS (200 mg/kg + 200 mg/kg), β-glucan (200 mg/kg), APS (200 mg/kg), enrofloxacin (15 mg/kg), and sulfadiazine (15 mg/kg) were added to feed to assess the effects against Nocardia seriolae infection in largemouth bass (Micropterus salmoides) within 14 days. The survival rates did not differ between the enrofloxacin group and the β-glucan + APS group, but both were significantly higher than that of the control group. Additionally, the enrofloxacin group and the β-glucan + APS group exhibited the lowest bacterial loads and tissue damage. Importantly, the β-glucan + APS treatment significantly improved serum enzyme activities (total superoxide dismutase, lysozyme, total protein) and the expression of immune genes (IL-1β, TNF-α, IFN-γ, IgM) compared to the other treatment groups. The enrofloxacin group showed similar efficacy to the β-glucan + APS group in combating N. seriolae infection, but N. seriolae in the enrofloxacin group developed drug resistance. In summary, the combined use of β-glucan and APS is a promising strategy for treating bacterial diseases, thereby contributing to the promotion of sustainable aquaculture development.
Computational Studies to Understand the Neuroprotective Mechanism of Action Basil Compounds
Authors: Singh Varinder , Mujwar Somdutt , Singh Manjinder , Singh Tanveer , Ahmad Sheikh F.
Published: October 2023

Neurodegenerative diseases, such as Alzheimer’s and Parkinson’s, pose a significant global health challenge, emphasizing the need for novel neuroprotective agents. Basil (Ocimum spp.) has been recognized for its therapeutic potential, and numerous studies have reported neuroprotective effects. In this manuscript, we present a computational protocol to extricate the underlying mechanism of action of basil compounds in neuroprotective effects. Molecular docking-based investigation of the chemical interactions between selected bioactive compounds from basil and key neuroprotective targets, including AChE, GSK3β, γ-secretase, and sirtuin2. Our results demonstrate that basil compound myricerone caffeoyl ester possesses a high affinity of −10.01 and −8.85 kcal/mol against GSK3β and γ-secretase, respectively, indicating their potential in modulating various neurobiological processes. Additionally, molecular dynamics simulations were performed to explore the protein–ligand complexes’ stability and to analyze the bound basil compounds’ dynamic behavior. This comprehensive computational investigation enlightens the putative mechanistic basis for the neuroprotective effects of basil compounds, providing a rationale for their therapeutic use in neurodegenerative disorders after further experimental validation.
Super-High-Frequency Bulk Acoustic Resonators Based on Aluminum Scandium Nitride for Wideband Applications
Authors: Dou Wentong , Zhou Congquan , Qin Ruidong , Yang Yumeng , Guo Huihui , Mu Zhiqiang , Yu Wenjie
Published: October 2023

Despite the dominance of bulk acoustic wave (BAW) filters in the high-frequency market due to their superior performance and compatible integration process, the advent of the 5G era brings up new challenges to meet the ever-growing demands on high-frequency and large bandwidth. Al1-xScxN piezoelectric films with high Sc concentration are particularly desirable to achieve an increased electromechanical coupling (Kt2) for BAW resonators and also a larger bandwidth for filters. In this paper, we designed and fabricated the Al1-xScxN-based BAW resonators with Sc concentrations as high as 30%. The symmetry of the resonance region, border frame structure and thickness ratio of the piezoelectric stack are thoroughly examined for lateral modes suppression and resonant performance optimization. Benefiting from the 30% Sc doping, the fabricated BAW resonators demonstrate a large effective electromechanical coupling (Keff2) of 17.8% at 4.75 GHz parallel resonant frequency. Moreover, the temperature coefficient of frequency (TCF) of the device is obtained as −22.9 ppm/°C, indicating reasonable temperature stability. Our results show that BAW resonators based on highly doped Al1-xScxN piezoelectric film have great potential for high-frequency and large bandwidth applications.
Strained Monolayer MoTe2 as a Photon Absorber in the Telecom Range
Authors: Ramzan Muhammad Sufyan , Cocchi Caterina
Published: October 2023

To achieve the atomistic control of two-dimensional materials for emerging technological applications, such as valleytronics, spintronics, and single-photon emission, it is of paramount importance to gain an in-depth understanding of their structure–property relationships. In this work, we present a systematic analysis, carried out in the framework of density-functional theory, on the influence of uniaxial strain on the electronic and optical properties of monolayer MoTe2. By spanning a ±10% range of deformation along the armchair and zigzag direction of the two-dimensional sheet, we inspect how the fundamental gap, the dispersion of the bands, the frontier states, and the charge distribution are affected by strain. Under tensile strain, the system remains a semiconductor but a direct-to-indirect band gap transition occurs above 7%. Compressive strain, instead, is highly direction-selective. When it is applied along the armchair edge, the material remains a semiconductor, while along the zigzag direction a semiconductor-to-metal transition happens above 8%. The characteristics of the fundamental gap and wave function distribution are also largely dependent on the strain direction, as demonstrated by a thorough analysis of the band structure and of the charge density. Additional ab initio calculations based on many-body perturbation theory confirm the ability of strained MoTe2 to absorb radiation in the telecom range, thus suggesting the application of this material as a photon absorber upon suitable strain modulation.
Dynamics of Hydrogen Storage through Adsorption: Process Simulation and Energy Analysis
Authors: Paz Luis , Grekov Denys I. , Pré Pascaline
Published: October 2023

The mass and energy balances of a zero-dimensional model for hydrogen storage by adsorption is studied. The model is solved with an in-house MATLAB code and validated with three experimental case studies from the literature, obtained with cryogenic lab-scale reservoirs using different adsorbents and dynamic operating conditions. The results of the simulations agree well with reported measured temperature and pressure profiles. The hydrogen adsorption process is described assuming instantaneous thermodynamic equilibrium. In accordance with the potential theory, variations in the adsorbed phase volumes filling the adsorbent pores were described applying the revisited Dubinin–Astakhov (rev-D-A) equation and accounting for gas phase non-ideality. The simulation model was used to assess the energy requirements of a variety of adsorption-based hydrogen storage processes and compared with other conventional hydrogen storage modes such as compression and liquefaction. Thus, whatever different adsorbent materials are considered, this technology appears relatively energy intensive due to the reservoir cooling duty at cryogenic temperature.
A Topological Valley Stamping Plate for Low-Frequency-Vibration Isolation and Wave Manipulation in Helicopters
Authors: Wang Xiong , Lin Changliang , Liu Wei , Wang Jinliang , Wang Wenjie
Published: October 2023

Vibration isolation and wave manipulation play a significant role in helicopter applications, from small elastic devices for information processing to large solid structures for vibration control. The emergence of topological elastic metamaterials has opened up new possibilities for modulating vibrations and waves in solids. However, most designs are limited to laboratory settings due to complex manufacturing or low structural strength. In this study, we propose a topological elastic metamaterial with a stamping triangle whose orientation θ can be rotated to achieve topological phase transitions between −30° and 30°. Unlike traditional manufacturing methods, the utilization of stamping technology provides a cost-effective means of production, allowing for wider application across diverse industries. Moreover, the metamaterial has the capability to manipulate elastic waves along specific trajectories and effectively decrease common vibrations (more than 50 dB), typically occurring at a frequency of 24 Hz in helicopters. Our approach also enables the control of elastic wave propagation along interfaces through the emergence of topological edge states. The practical implementation of this design will enhance the confidence in using topological elastic metamaterials for vibration isolation and wave manipulation in helicopters.
Missionizing Church Governance: Transfiguring Pentecostalism in Zimbabwe
Authors: Tagwirei Kimion
Published: October 2023

Pentecostalism has experienced massive growth and evolution, both within Africa and beyond, as is evident through the emergence of dynamic neo-Pentecostal movements, including independent, prophetic, and charismatic churches. However, all its establishments have been primarily characterized by problematic governance. While neo-Pentecostal founders and leaders often asserted that they were breaking away from regressive bureaucracy and supposedly “cold” spiritual practices to embrace a more dynamic approach that advances the missio Dei and missio ecclesiae through expressive and demonstrative ministries, they paradoxically ended up becoming similarly, if not more, regressive. Rather than being focused on serving others (being other-centred), they became self-centred in their actions and priorities. Drawing on missional ecclesiology, extensive engagement with relevant literature, and in-depth phenomenological observation, this paper undertook a qualitative examination of their polities. It interpretively and descriptively assessed and explored the fact that all ecclesial governments exhibit both strengths and weaknesses. In light of this analysis, the paper argues and proposes that churches should integrate their predominant governmental systems with inclusive and empowering principles from other polities. By doing so, they can transform their administrative structures and enhance their missionality.
Deep Neural Decision Forest (DNDF): A Novel Approach for Enhancing Intrusion Detection Systems in Network Traffic Analysis
Authors: Alrayes Fatma S. , Zakariah Mohammed , Driss Maha , Boulila Wadii
Published: October 2023

Intrusion detection systems, also known as IDSs, are widely regarded as one of the most essential components of an organization’s network security. This is because IDSs serve as the organization’s first line of defense against several cyberattacks and are accountable for accurately detecting any possible network intrusions. Several implementations of IDSs accomplish the detection of potential threats throughout flow-based network traffic analysis. Traditional IDSs frequently struggle to provide accurate real-time intrusion detection while keeping up with the changing landscape of threat. Innovative methods used to improve IDSs’ performance in network traffic analysis are urgently needed to overcome these drawbacks. In this study, we introduced a model called a deep neural decision forest (DNDF), which allows the enhancement of classification trees with the power of deep networks to learn data representations. We essentially utilized the CICIDS 2017 dataset for network traffic analysis and extended our experiments to evaluate the DNDF model’s performance on two additional datasets: CICIDS 2018 and a custom network traffic dataset. Our findings showed that DNDF, a combination of deep neural networks and decision forests, outperformed reference approaches with a remarkable precision of 99.96% by using the CICIDS 2017 dataset while creating latent representations in deep layers. This success can be attributed to improved feature representation, model optimization, and resilience to noisy and unbalanced input data, emphasizing DNDF’s capabilities in intrusion detection and network security solutions.
A Simulation of Air Lasing Seeded by an External Wave in a Femtosecond Laser Filament
Authors: Zeng Tao , Gui Ya , Yi Yuliang , Li Nan , Zhang Zhi , Guo Jiewei , Shang Binpeng , Guo Lanjun
Published: October 2023

Air lasers induced by femtosecond laser filaments play an important role in remote sensing applications. Few studies have been dedicated to the spatial distribution of external-seeded air laser radiation in the laser filament based on the numerical simulation method, which can pave the way to understanding the mechanism of the external-seeded air lasing process during filamentation. In this study, numerical simulations of the propagation of an air laser seeded by an external plane wave with a wavelength of 391 nm during femtosecond laser filamentation were performed. The results indicated that the air laser’s beam intensity distribution varies from a ring pattern to a donut pattern when the filament length and nitrogen ion density are raised as a result of the defocusing and lasing effects of the filament plasma. Here, the ring pattern is formed by several thin rings, while the donut pattern refers to a notably thicker, ring-like structure. In addition, it has been demonstrated that the air laser’s beam power would increase exponentially versus the filament length and the nitrogen ion density. The knowledge about the angular distribution of air lasing could be important for optimizing the detection geometry of the LIDAR setup, including the view angle and the size of the collecting optical component.
Intelligent Crack Detection Method Based on GM-ResNet
Authors: Li Xinran , Xu Xiangyang , He Xuhui , Wei Xiaojun , Yang Hao
Published: October 2023

Ensuring road safety, structural stability and durability is of paramount importance, and detecting road cracks plays a critical role in achieving these goals. We propose a GM-ResNet-based method to enhance the precision and efficacy of crack detection. Leveraging ResNet-34 as the foundational network for crack image feature extraction, we consider the challenge of insufficient global and local information assimilation within the model. To overcome this, we incorporate the global attention mechanism into the architecture, facilitating comprehensive feature extraction across the channel and the spatial width and height dimensions. This dynamic interaction across these dimensions optimizes feature representation and generalization, resulting in a more precise crack detection outcome. Recognizing the limitations of ResNet-34 in managing intricate data relationships, we replace its fully connected layer with a multilayer fully connected neural network. We fashion a deep network structure by integrating multiple linear, batch normalization and activation function layers. This construction amplifies feature expression, stabilizes training convergence and elevates the performance of the model in complex detection tasks. Moreover, tackling class imbalance is imperative in road crack detection. Introducing the focal loss function as the training loss addresses this challenge head-on, effectively mitigating the adverse impact of class imbalance on model performance. The experimental outcomes on a publicly available crack dataset emphasize the advantages of the GM-ResNet in crack detection accuracy compared to other methods. It is worth noting that the proposed method has better evaluation indicators in the detection results compared with alternative methodologies, highlighting its effectiveness. This validates the potency of our method in achieving optimal crack detection outcomes.
An Improved Wildfire Smoke Detection Based on YOLOv8 and UAV Images
Authors: Saydirasulovich Saydirasulov Norkobil , Mukhiddinov Mukhriddin , Djuraev Oybek , Abdusalomov Akmalbek , Cho Young-Im
Published: October 2023

Forest fires rank among the costliest and deadliest natural disasters globally. Identifying the smoke generated by forest fires is pivotal in facilitating the prompt suppression of developing fires. Nevertheless, succeeding techniques for detecting forest fire smoke encounter persistent issues, including a slow identification rate, suboptimal accuracy in detection, and challenges in distinguishing smoke originating from small sources. This study presents an enhanced YOLOv8 model customized to the context of unmanned aerial vehicle (UAV) images to address the challenges above and attain heightened precision in detection accuracy. Firstly, the research incorporates Wise-IoU (WIoU) v3 as a regression loss for bounding boxes, supplemented by a reasonable gradient allocation strategy that prioritizes samples of common quality. This strategic approach enhances the model’s capacity for precise localization. Secondly, the conventional convolutional process within the intermediate neck layer is substituted with the Ghost Shuffle Convolution mechanism. This strategic substitution reduces model parameters and expedites the convergence rate. Thirdly, recognizing the challenge of inadequately capturing salient features of forest fire smoke within intricate wooded settings, this study introduces the BiFormer attention mechanism. This mechanism strategically directs the model’s attention towards the feature intricacies of forest fire smoke, simultaneously suppressing the influence of irrelevant, non-target background information. The obtained experimental findings highlight the enhanced YOLOv8 model’s effectiveness in smoke detection, proving an average precision (AP) of 79.4%, signifying a notable 3.3% enhancement over the baseline. The model’s performance extends to average precision small (APS) and average precision large (APL), registering robust values of 71.3% and 92.6%, respectively.
Estimating Patient-Level Uncertainty in Seizure Detection Using Group-Specific Out-of-Distribution Detection Technique
Authors: Wong Sheng , Simmons Anj , Villicana Jessica Rivera , Barnett Scott
Published: October 2023

Epilepsy is a chronic neurological disorder affecting around 1% of the global population, characterized by recurrent epileptic seizures. Accurate diagnosis and treatment are crucial for reducing mortality rates. Recent advancements in machine learning (ML) algorithms have shown potential in aiding clinicians with seizure detection in electroencephalography (EEG) data. However, these algorithms face significant challenges due to the patient-specific variability in seizure patterns and the limited availability of high-quality EEG data for training, causing erratic predictions. These erratic predictions are harmful, especially for high-stake domains in healthcare, negatively affecting patients. Therefore, ensuring safety in AI is of the utmost importance. In this study, we propose a novel ensemble method for uncertainty quantification to identify patients with low-confidence predictions in ML-based seizure detection algorithms. Our approach aims to mitigate high-risk predictions in previously unseen seizure patients, thereby enhancing the robustness of existing seizure detection algorithms. Additionally, our method can be implemented with most of the deep learning (DL) models. We evaluated the proposed method against established uncertainty detection techniques, demonstrating its effectiveness in identifying patients for whom the model’s predictions are less certain. Our proposed method managed to achieve 87%, 89% and 75% in accuracy, specificity and sensitivity, respectively. This study represents a novel attempt to improve the reliability and robustness of DL algorithms in the domain of seizure detection. This study underscores the value of integrating uncertainty quantification into ML algorithms for seizure detection, offering clinicians a practical tool to gauge the applicability of ML models for individual patients.
Neuropharmacological Activity of the Acetonic Extract of Malpighia mexicana A. Juss. and Its Phytochemical Profile
Authors: Avilés-Montes Dante , Salinas-Sánchez David Osvaldo , Sotelo-Leyva César , Zamilpa Alejandro , Batalla-Martinez Franceli Itzel , Abarca-Vargas Rodolfo , Rivas-González Juan Manuel , Dorado Óscar , Figueroa-Brito Rodolfo , Petricevich Vera L. , Morales-Ferra Dulce Lourdes , González-Cortazar Manasés
Published: October 2023

Mental and neurological disorders are conditions that affect thoughts, emotions, behavior, and relationships. Malpighia mexicana A. Juss. is a plant used in Mexican traditional medicine for the treatment of such disorders. This work aimed to investigate the antidepressant, anxiolytic, sedative, hypnotic, and anticonvulsant effects of the acetonic extract (MmAE) of M. mexicana and its fractions (F3, F4-10, F14) using the forced swimming test (FST), elevated plus maze (EPM), open field test (OFT), pentobarbital-induced sleep test (PBTt), and pentylenetetrazol-induced seizure test (PTZt). MmAE, F3, F4-10, F14, and vehicle were administrated orally 24, 18, and 1 h prior to the evaluations. Imipramine (15 mg/kg, p.o.) was administrated 1 h prior to the evaluations as a positive control for the FST, while diazepam (1 mg/kg, p.o.) was administrated 1 h prior to the evaluations as a positive control for the EPM, OFT, PBTt, and PTZt. MmAE had an anxiolytic effect; MmAE and F3, F4-10, and F14 showed an antidepressant effect, sedative effect, hypnotic effect, and anticonvulsant effect. Using HPLC, we identified the compounds quercetin 3-O-rutinoside (1), kaempferol 3-O-glucoside (2), luteolin 7-O-glucoside (3), quercetin (4), and kaempferol (5) in MmAE and compounds (1), (2), and (3) in F14. Using GC-MS, we identified α-tocopherol, phytol, and β-amyrin in F3; β-tocopherol, phytol, β-sitosterol, and β-amyrin in F4-10; and α- tocopherol, phytol, β-sitosterol, and β-amyrin in F4-10. The neuropharmacological effects found in this work may be due to the presence of vitamins, phytosterols, terpenes, and flavonoids. This research requires further study to clarify the mechanisms of action of the identified compounds.
Deep learning-based mechanical fault detection and diagnosis of electric motors using directional characteristics of acoustic signals
Authors: Ippili Srinivasa , Russell Matthew B. , Wang Peng , Herrin David W.
Published: October 2023

Early identification of rotating machinery faults is crucial to avoid catastrophic fail- ures upon installation. Contact-based vibration acquisition approaches are traditionally used for the purpose of machine health monitoring and end-of-line quality control. In complex working conditions,
it can be difficult to perform an accurate accelerometer based vibration test. Acoustic signals (sound pressure and particle velocity) also contain important information about the operating state of mechanical equipment and can be used to detect different faults. A deep learning approach,
namely, one-dimensional convolutional neural networks (1D-CNNs) can directly process raw time signals, thereby eliminating the human dependence on fault feature extraction. An experimental research study is conducted to test the proposed 1D-CNN methodology on three different electric motor
faults. The results from the study indicate that the fault detection performance from the acoustic-based measurement method is very effective and thus can be a good replacement to the conventional accelerometer-based methods for detection and diagnosis of mechanical faults in electric motors.
Factors Influencing the Entrepreneurial Intention of University Business Students: Evidence from Lima-Peru
Authors: Cordova-Buiza Franklin , Toribio-Tamayo Geraldine , Garcia-Portuguez Marco Antonio Jesus , Martinez-Torres Diana Carolina
Published: October 2023

Entrepreneurial intention has become a question, and in order to investigate its study, this research was based on the Theory of Planned Behaviour, which takes as dimensions the entrepreneurial attitude, the subjective norm and self-efficacy. The purpose of this research is to identify the factors that influence the entrepreneurial will of university business students in Peru. For this purpose, the study method used is mixed, cross-sectional and non-experimental; it comprises a quantitative analysis with a sample of 400 university students, to whom a virtual questionnaire was applied; and it is complemented with a qualitative analysis through videoconference interviews with 11 experts in entrepreneurship in the Peruvian and international context, made up of business career coordinators, university business incubator coordinators and student entrepreneurs. The results highlight as factors in entrepreneurial intention the desire to be independent (65%), the challenge in practice of creativity and innovation (62%), the enjoyment of knowledge about business genesis strategies (55%), also the development of soft skills such as leadership and resilience, as the merit of attributing technological tools within the business, notions highlighted by the qualitative analysis. It is concluded that universities should take these factors into account in the design of competencies in their student curricula, creating programs that generate an entrepreneurial ecosystem, and with it, the formation of companies, new jobs and socioeconomic improvement.
Some Basic Properties of QIFSN(G)
Authors: Shomali Amir , Rasuli Rasul
Published: October 2023

In this paper, as using norms (T and C), we introduce the concepts of strongest relations, cosets and middle cosets of Q-intuitionistic fuzzy subgroups and prove some simple but elegant results about them. Also we discuss few results of them under homomorphism as well as anti homomorphism.
UYGUR HUKUKUNDA ŞUF’A (ÖNALIM) HAKKI –UYGUR HUKUK VESİKALARINA GÖRE–
Authors: KORKMAZ Salih
Published: October 2023

İslamiyet öncesi Türk hukukuna dair malumat genel olarak Çin kaynakları, İslam kaynakları ve eski Türklerden kalma bazı eserler üzerinden takip edilmektedir. Güney Uygurlarının hukuku hakkında ise bu kaynaklardan farklı olarak çok önemli bazı hukuk vesikaları günümüze ulaşmıştır. Bu vesikalar, Uygur hukukuna dair eşsiz malumat ihtiva etmektedir ve dönemin hukuk anlayışını göstermesi bakımından eşsiz değerdedir. Bunların hangi tarihte yazılmış oldukları tam olarak bilinmemekle birlikte X-XIV. asırlarda kaleme alındıkları tahmin edilmektedir.

Uygur hukuk vesikaları Uygur Türklerinin yerleşik hayata geçtiği, din değiştirdiği ve Çin ile çok yakın münasebetleri bulunduğu bir devirden kalmadır. Yine vesikalardaki belirli noktalarda Çin bazen de Moğol hukukunun tesiri görülmektedir. Bu sebeple Uygur hukuk vesikalarına bakarak ulaşılan neticeleri tüm İslamiyet öncesi Türk hukukuna teşmil etmek hatalı bir yaklaşım olacaktır. Fakat bu durum Uygur hukukunun “eski Türk hukukundan” hiçbir iz taşımadığı manasında yorumlanmamalıdır.

İlk vesikanın bulunmasının üzerinden neredeyse bir buçuk asır geçmesine rağmen, Türkiye’de hukuk tarihçilerince yeterli alakaya mazhar olmamıştır. Bu sebeple de pek çok husus şimdiye kadar açığa çıkarılmamıştır. Bu çalışma, Uygur hukukunda kendine mahsus bir şuf’a (önalım) hakkının varlığını ilk kez ortaya koymaktadır. Ayrıca kimlerin şuf’a hakkına sahip olduğu; bu hakkın nasıl kullanıldığı; hangi akitlerde şuf’anın cereyan ettiği; hangi malların şuf’aya tâbi olduğu gibi pek çok husus da ilk kez bu çalışmada ortaya koyulmuştur.
ЕКСПЕРИМЕНТАЛЬНЕ ДОСЛІДЖЕННЯ ВПЛИВУ МОДЕЛЮВАННЯ ПОРУШЕННЯ ТЕРМІНІВ ПРОРІЗУВАННЯ ЗУБІВ НА МАСУ ТІЛА ТА СТАН ПОКАЗНИКІВ АНТИМІКРОБНОГО ЗАХИСТУ В СИРОВАТЦІ КРОВІ ЕКСПЕРИМЕНТАЛЬНИХ ТВАРИН
Authors: Гороховський В.В. , Дєньга О.В.
Published: October 2023

Мета дослідження. Вивчення впливу моделювання порушення термінів прорізування зубів на масу тіла та стан активність лізоциму в сироватці крові щурів. Матеріали та методи дослідження. Експеримент виконаний на 20 білих лабораторних щурах-самках та 37 щурятах. Починаючи з першого дня введення препаратів, до самок підсаджували самців. В залежності від використаних препаратів, тварин розподілили на 4 групи: 1) інтактна (дієта віварію); 2) L-тироксин в дозі 10 мг/кг + дієта віварію; 3) антибіотики (цефоперазон 180 мг/кг – вагітність, амоксиклав 135 мг/кг – лактація) + дієта віварію; 4) Мерказоліл – (20 мг/кг – вагітність), (50 мг/кг – лактація) + дієта віварію. Подальші дослідження проводили на щурятах, які були народжені від самок, що отримували ці препарати. Щурят виводили з експерименту під тіопенталовим наркозом (20 мг/кг) після періоду лактації приблизно у віці 35 днів. Загальна тривалість експерименту склала 56 днів. У 30-ти денному віці проводилось визначення маси тіла у щурів всіх груп. У щурів всіх груп проводився біохімічний аналіз сироватки крові. Результати дослідження. У щурят, отриманих від самок яким моделювали експериментальний гіпотиреоз, маса тіла була 31,3 % нижче відповідного показника інтактної групи. Застосування L‑тироксину в 2-й групі призвело до достовірного зниження активності лізоциму на 40 % в порівнянні з інтактною групою (P < 0,001). Також показники активності лізоциму в 3-й (Антибіотики) та 4-й (Мерказоліл) групах достовірно знизилися на 68,5 % (P < 0,001) та 65,7 % (P < 0,001), відповідно. Висновки. В результаті проведених досліджень встановлено пригнічення лізоцим- синтезуючої функції організму тварин, які антенатально отримували антибіотики, а також надлишок або дефіцит тиреоїдних гормонів.
Strategic litigation in the “soft-authoritarian” state of Singapore: Attempts to decriminalize sodomy from 2010-2020
Authors: Radics George
Published: October 2023

From 2010 to 2020, several efforts to decriminalize sodomy have taken place in Singaporean courts. Although these efforts have been largely unsuccessful, the cases have highlighted how courts can serve as a space to push for rights in a city-state that some have labelled “soft-authoritarian”—a state with democratic institutions in place, but with an under-developed set of democratic ideals and practices. This article argues that strategic litigation to decriminalize sodomy is forcing institutions in Singapore to evolve, become more democratic and responsive to a rising cultural backlash particularly with regards to sexuality. This article will examine some of the incremental changes that have come about due to the legal challenges, such as the strengthening of the court, the modification of laws to protect minorities, and the growth and diversification of civil society.
THE PRACTICE OF PEDAGOGICAL DIGITAL COMPETENCE AMONG ESL LECTURERS
Authors: Naim Sidra
Published: October 2023

With the goal of having students graduate with 21 century skills, there is a gap on who are the ambassador of the integration of digital skills. This is where language lecturers can be seen as role models of digital skills. Yet, there is a deficiency in studies looking at ESL lecturers’ use of technology in terms of pedagogical use. Taking in the lens of Krumsvik’s Teachers’ Digital Competence Model, the purpose of the qualitative study is to explore the practice of Pedagogical Digital Competence (PDC) among English as Second Language (ESL) lecturers through 14 in-depth interviews analyzed by Nvivo 12 software to define the themes and codes that emerged. The results revealed the lecturers’ use of ICT in the mastery of digital tools utilized for support their teaching, technological challenges faced during the implementation of said skills, as well as the cognizance of ethics in navigating the online world. It is interesting to note that the ESL lecturers highlighted policies restricting usage of technology in terms of formal assessments. The findings are highly relevant to bridging the gap in the growing literature of Malaysian ESL Lecturer’s PDC.
STRESS MANAGEMENT DURING PH.D. STUDIES: A SHARE OF REAL EXPERIENCES
Authors: Asari Fadli Fizari Abu Hassan , Mat Saad Azlina , Fizari Ar-Rayyan Fikri Fadli , Fizari Irhamna Fikri Fadli , Zid Azlina , Affandi Salwani
Published: October 2023

Effective and proficient stress management during the duration of a Ph.D. programme is critical for all Ph.D. students. This is done to ensure the emotional well-being of Ph.D students. Despite confronting a variety of hurdles and tests throughout the course of study, academic achievement remained consistently excellent. Travelling, cooking, reading, watching films, and gardening are just a few of the stress-relieving activities that are commonly mentioned on social media platforms like Facebook and blogs. However, we have chosen a unique technique, called play therapy, as our stress management therapy modality. Toys such as robots (Transformers), miniature car models (Hotwheels), blocks (LEGO/Kre-O), weapons and arrows (NERF), small train models (Thomas & Friends), and board games (Monopoly/Scrabble) were among our therapeutic goods during our Ph.D studies. The act of going to the store to buy new toys, the joy of finding a good deal on something we've been eyeing for a long, and the "hunt" for our all-time favourite toy are all components of this activity's therapeutic significance for us. As a result, the benefits of the toy treatment are felt not only by us but also by our children. Consequently, we are not the only ones who are experience it. We have taken toy collection treatment to an altogether new level. Whereas, as a family, we were able to successfully capture many medals, including gold medals, in international innovation competitions by leveraging our interest in collecting these toys. In addition, we presented papers on various elements of toy design at a number of international conferences. It is our honest hope that being able to speak and share our actual experiences of coping with stress while working on our Ph.D. can, to some extent, energise the sharing of many therapies that are already available for stress management.
EFFECTIVENESS OF ACADEMIC ADVISOR BACKGROUND AND STUDENT PERFORMANCE: A CASE STUDY OF POLITEKNIK TUANKU SULTANAH BAHIYAH
Authors: Ab Rahman Mohd Zamre , Jamaludin Mohd Faizal , Bahaudin Mohd Fahmee
Published: October 2023

This study aims to identify the background of academic advisors that are associated with students' academic achievement. This study determines whether gender, grade, length of service, level of education, amount of academic certification as well as involvement in management positions can increase students' academic achievement. This study's findings significantly identify that students' academic achievement can be influenced by several characteristics found in an academic advisor, namely length of service, highest level of education, number of academic certifications, and involvement in management positions. This study suggests that the are need to manage human resource needs related to academic advisors is given due emphasis. Research related to the needs of academic advising such as career enhancement and competency development is expected to enable academic advisors to carry out essential and administrative tasks as well as academic advising effectively and further maintain students' academic achievement at a satisfactory level.
A STRATEGY OF ADOPTING COLLABORATIVE TEACHING IN MATHEMATICS FOR HIGHER EDUCATION
Authors: Mohamad Yunos Nurhazirah , Ng Set Foong , Mahat Aishah , Khalid Ahmad Khudzairi , Tukiman Norbaiti
Published: October 2023

Research has established collaborative teaching method as a means for educators to deliver instruction to students by performing collaborative practices among themselves or in the collaboration with industry experts. By collaboratively sharing their knowledge to students and applying different teaching techniques, students gain the benefits by learning from different educators and the industry expert. The collaborative teaching is a form of twenty-first century teaching method that benefits to both students and educators. However, there is still lack of research conducted that focuses on the full strategies to implement collaborative teaching in online distance learning (ODL) and face to face modes. Hence, this study aims to provide comprehensive strategies for adopting collaborative teaching in Mathematics subject for higher education in both ODL and face to face sessions. A qualitative technique was used to document the strategies of implementing collaborative teaching approach in class and to obtain feedback from educators and students regarding the implementation of collaborative teaching. The findings revealed that there were three phases adopted; pre collaborative teaching phase, collaborative teaching phase and post collaborative teaching phase. The effectiveness of the sessions depends on the planning in the pre collaborative teaching phase. It was shown that most students and educators had a positive impact on the collaborative teaching approach. This study can act as a reference for other educators to implement collaborative teaching strategies in their subject matter. In addition, it helps educators to have a better understanding of educators’ and students’ perceptions of adopting collaborative teaching.
TEACHER EDUCATORS AS BELIEF NAVIGATORS: SHAPING PRE-SERVICE TEACHERS’ PEDAGOGICAL BELIEFS
Authors: Zakaria Zuraimi , Ab. Wahid Nor Tutiaini
Published: October 2023

This article is grounded in the perspective that pre-service teachers' pedagogical beliefs significantly impact their future classroom practice. It is argued that pre-service teachers have already formed a set of pedagogical beliefs by the time they enrol in teacher education programs. These beliefs are reported to be incongruent with the goals these programs strive to achieve. There is evidence that these pre-existing pedagogical beliefs often remain intact throughout the programs, and in some cases, are even reinforced by them. This is mainly because little effort is made by teacher educators to address or change these beliefs. Studies that investigated teacher change have also explored pedagogical beliefs, as changes in beliefs are a determining factor for changes in practice. The article proposes both general and specific measures that could be undertaken by teacher educators in the design of intervention strategies and programs aimed at changing the pedagogical conceptions and beliefs that pre-service teachers hold. Additionally, the article also addresses the origins and characteristics of these beliefs and their influence on classroom practice and teaching effectiveness.
FACTORS AFFECTING MALAYSIAN DEFENSE POLICY IN THE ERA OF TUN MAHATHIR MOHAMAD 1981-2003
Authors: Md Zain Rodziah , Keling Mohammad Faisol , Ibrahim Marzura
Published: October 2023

Since 1957, Malaysia has developed a National Defense Policy (NDP) to ensure national security and sovereignty. The DPN reflects Malaysia's desire to be able to defend its strategic interests and maintain national security. During Mahathir's era, the defense policy was inclined towards self-reliance and changed its pattern i.e. upward, where before his administration it was in the form of dependency and neutrality and had a horizontal pattern. In the international arena, Tun's voice resonated to voice the aspirations of Third World countries and the commitment shown above other leaders. Self-reliance under Tun Mahathir's administration made aspects of Malaysia's defense policy more modern so that Tun Mahathir became a reference and attention throughout the world, especially Third World Countries. The three main factors that influenced Malaysia's defense policy during the era of Tun Mahathir Mohamad 1981-2003 that will be discussed, namely internal factors (internal factors), external factors (external factors) and Tun Mahathir Mohamad's idiosyncratic factors which made the aspects of Malaysia's security and defense policy more modern and 'gah' on the international stage.
THE PERCEPTION AMONG THE STUDENTS OF UNIVERSITI UTARA MALAYSIA TOWARDS THE IMPACT OF PART-TIME JOB ON ACADEMIC AND HEALTH PERFORMANCE
Authors: Chong Khai Lin , Mohamad Noor Muhamad Syamirul
Published: October 2023

The study examines how local students' academic and health performance changes as a result of their part-time jobs. To accomplish this, the study surveyed the students of the School of Technology Management and Logistics (STML), Universiti Utara Malaysia (UUM), Sintok, Kedah. The majority of the students believe their study costs are higher than expected. This caused financial strain due to price increases globally and affected STML students and living expenses in university and impacted students' academic and health performance. Thus, this study aims to analyse the perception of part-time jobs' impact on student academic and health performance. The researcher focused on quantitative approaches throughout the study. Around 132 students answered the online questionnaire. The study found that there are both positive and negative impacts on student working and studying on their academic and health performance. All of the hypotheses have been confirmed and accepted. The study suggests that how well time is managed between work and study will determine whether the impact is positive or negative. Part-time jobs can be a new way for students to increase their income if the time can be managed well.