bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images
Authors: Voon Wingates , Hum Yan Chai , Tee Yee Kai , Yap Wun-She , Salim Maheza Irna Mohamad , Tan Tian Swee , Mokayed Hamam , Lai Khin Wee 
Published: November 2022

AbstractComputer-aided Invasive Ductal Carcinoma (IDC) grading classification systems based on deep learning have shown that deep learning may achieve reliable accuracy in IDC grade classification using histopathology images. However, there is a dearth of comprehensive performance comparisons of Convolutional Neural Network (CNN) designs on IDC in the literature. As such, we would like to conduct a comparison analysis of the performance of seven selected CNN models: EfficientNetB0, EfficientNetV2B0, EfficientNetV2B0-21k, ResNetV1-50, ResNetV2-50, MobileNetV1, and MobileNetV2 with transfer learning. To implement each pre-trained CNN architecture, we deployed the corresponded feature vector available from the TensorFlowHub, integrating it with dropout and dense layers to form a complete CNN model. Our findings indicated that the EfficientNetV2B0-21k (0.72B Floating-Point Operations and 7.1 M parameters) outperformed other CNN models in the IDC grading task. Nevertheless, we discovered that practically all selected CNN models perform well in the IDC grading task, with an average balanced accuracy of 0.936 ± 0.0189 on the cross-validation set and 0.9308 ± 0.0211on the test set.
Corneal elastic property investigated by terahertz technology
Authors: Ke Lin , Zhang Lei , Zhang Nan , Wu Qing Yang Steve , Leong Hai Sheng , Abdelaziem Ali , Mehta Jodhbir S. , Liu Yu-Chi 
Published: November 2022

AbstractTerahertz (THz) spectroscopy technique has been applied in ex vivo biomechanical properties analysis of human corneas. Upon the application of light pressure on the cornea, the photo elastic birefringent effect, anisotropic deformation, thickness changes and hydration levels will contribute to the sudden phase changes of terahertz time domain signal. The shelf lifetime study shows that the phase shift is reduced and cornea loose the biomechanical properties with the increase of hydration level. Mechanical behaviors have been further studied based on the “fresh” cut corneas with the similar hydration levels. THz signal was collected by focusing inside of the cornea to avoid the phase shift due to light stress caused movement of the corneal surface. By this way, the amount of THz signal refractive index variation is correlated to the elastic property of the corneas. The correlation between the THz signal phase shift and refractive index shift due to the corneal strain can be used to derive the elastic Young’s modulus. Our results demonstrated the THz spectroscopy, as a non-contact and non-invasive detection method, could be potential for understanding the mechanism of corneal deformation under the action of intraocular pressure in the physiological environment in future.
Acoustic and visual cetacean surveys reveal year-round spatial and temporal distributions for multiple species in northern British Columbia, Canada
Authors: Frouin-Mouy Héloïse , Mouy Xavier , Pilkington James , Küsel Elizabeth , Nichol Linda , Doniol-Valcroze Thomas , Lee Lynn 
Published: November 2022

AbstractCetaceans spend most of their time below the surface of the sea, highlighting the importance of passive acoustic monitoring as a tool to facilitate understanding and mapping their year-round spatial and temporal distributions. To increase our limited knowledge of cetacean acoustic detection patterns for the east and west coasts of Gwaii Haanas, a remote protected area on Haida Gwaii, BC, Canada, acoustic datasets recorded off SG̱ang Gwaay (Sep 2009–May 2011), Gowgaia Slope (Jul 2017–Jul 2019), and Ramsay Island (Aug 2018–Aug 2019) were analyzed. Comparing overlapping periods of visual surveys and acoustic monitoring confirmed presence of 12 cetacean species/species groups within the study region. Seasonal patterns were identified for blue, fin, humpback, grey and sperm whale acoustic signals. Killer whale and delphinid acoustic signals occurred year-round on both coasts of Haida Gwaii and showed strong diel variation. Cuvier’s, Baird’s, beaked whale and porpoise clicks, were identified in high-frequency recordings on the west coast. Correlations between environmental factors, chlorophyll-a and sea surface temperature, and cetacean acoustic occurrence off Gwaii Haanas were also examined. This study is the first to acoustically monitor Gwaii Haanas waters for an extended continuous period and therefore serves as a baseline from which to monitor future changes.
Recent advances in use of bio-inspired jellyfish search algorithm for solving optimization problems
Authors: Chou Jui-Sheng , Molla Asmare 
Published: November 2022

AbstractThe complexity of engineering optimization problems is increasing. Classical gradient-based optimization algorithms are a mathematical means of solving complex problems whose ability to do so is limited. Metaheuristics have become more popular than exact methods for solving optimization problems because of their simplicity and the robustness of the results that they yield. Recently, population-based bio-inspired algorithms have been demonstrated to perform favorably in solving a wide range of optimization problems. The jellyfish search optimizer (JSO) is one such bio-inspired metaheuristic algorithm, which is based on the food-finding behavior of jellyfish in the ocean. According to the literature, JSO outperforms many well-known meta-heuristics in a wide range of benchmark functions and real-world applications. JSO can also be used in conjunction with other artificial intelligence-related techniques. The success of JSO in solving diverse optimization problems motivates the present comprehensive discussion of the latest findings related to JSO. This paper reviews various issues associated with JSO, such as its inspiration, variants, and applications, and will provide the latest developments and research findings concerning JSO. The systematic review contributes to the development of modified versions and the hybridization of JSO to improve upon the original JSO and present variants, and will help researchers to develop superior metaheuristic optimization algorithms with recommendations of add-on intelligent agents.
Assessment of ground deformation and seismicity in two areas of intense hydrocarbon production in the Argentinian Patagonia
Authors: Tamburini-Beliveau Guillermo , Grosso-Heredia Javier A. , Béjar-Pizarro Marta , Pérez-López Raúl , Portela Juan , Cismondi-Duarte Martín , Monserrat Oriol 
Published: November 2022

AbstractThe exploitation of both conventional and unconventional hydrocarbons may lead to still not well-known environmental consequences such as ground deformation and induced/triggered seismicity. Identifying and characterizing these effects is fundamental for prevention or mitigation purposes, especially when they impact populated areas. Two case studies of such effects on hydrocarbon-producing basins in Argentina, the Neuquén and the Golfo de San Jorge, are presented in this work. The intense hydrocarbon production activities in recent years and their potential link with the occurrence of two earthquakes of magnitude 4.9 and 5 near the operating well fields is assessed. A joint analysis of satellite radar interferometry and records of fluid injection and extraction demonstrate that, between 2017 and 2020, vertical ground displacements occurred in both study areas over active well fields that might indicate a correlation to hydrocarbon production activities. Coseismic deformation models of the two earthquakes constrain source depths to less than 2 km. The absence of seismicity before the beginning of the hydrocarbon activities in both areas, and the occurrence of the two largest and shallow earthquakes in the vicinity of the active well fields just after intensive production periods, points towards the potential association between both phenomena.
Effect of radiation-reaction on charged particle dynamics in a focused electromagnetic wave
Authors: Mishra Shivam Kumar , Sharma Sarveshwar , Sengupta Sudip 
Published: November 2022

AbstractThe effect of radiation-reaction force on the dynamics of a charged particle in an intense focused light wave is investigated using the physically appealing Hartemann-Luhmann equation of motion. It is found that, irrespective of the choice of initial conditions, radiation reaction force causes the charged particle to cross the focal region, provided the particle is driven into regions where the radiation reaction force dominates over the Lorentz force, thus enhancing the forward energy gained by the particle from the intense light wave. This result is in sharp contrast to the well known result, derived in the absence of radiation reaction forces, where for certain initial conditions the particle reflects from the high intensity region of the focused light wave, thereby losing forward energy. From the perspective of energy gain, our studies clearly show that the parameter space for forward energy gain which is reduced by ponderomotive effects is compensated by radiation reaction effects. These results, which are of relevance to the present day direct laser acceleration schemes of charged particle, also agrees with that obtained using the well known Landau-Lifshitz equation of motion.
Machine learning-assisted analysis for agronomic dataset of 49 Balangu (Lallemantia iberica L.) ecotypes from different regions of Iran
Authors: Shafagh-Kolvanagh Jalil , Dehghanian Hassan , Mohammadi-Nassab Adel Dabbagh , Moghaddam Mohammad , Raei Yaegoob , Salmasi Saeid Zehtab , Samimifar Peyvand , Abdoli Soheila , Gholizadeh-Khajeh Behnam 
Published: November 2022

AbstractThe Balangu (Lallemantia iberica) species have a high gastronomical impact in the Middle East and Balkan region. It is widely used in the local food industry, such as confectionery, edible oil, and protein food. In this study, 49 ecotypes were collected from different regions of Iran. 37 agronomic traits were measured during the growing season and at harvest time. To find the correlation between the grain yield per unit area, grain yield per single plant (GYSP), oil percent (OP), and protein percent (PP) with other measured traits, which these were utilized as the labels of different machine learning (ML) procedures including Linear Regression (LR), Support Vector Regression (SVR), Random Forest Regression (RFR), and Gradient Boosting Decision Tree Regression (GBDTR). It was observed that there is a linear relationship between the measured agronomic traits and the considered labels. So, the LR, RFR, and GBDTR models showed the lowest mean absolute error, mean square error, and root mean square error than SVR models and good prediction ability of the test data. Although, the RFR and GBDTR have naturally lower bias than other methods in this study, but the GBDTR scheme is preferred because of the over-fitting shortcoming of the RFR technique. The GBDTR method showed better results rather than the other ML regression methods according to the RMSE 3.302, 0.040, 0.028, and 0.060 for GYUA, GYSP, OP, and PP, respectively.
Study on the chemical compositions and microbial communities of cigar tobacco leaves fermented with exogenous additive
Authors: Hu Wanrong , Cai Wen , Zheng Zhaojun , Liu Yuanfa , Luo Cheng , Xue Fang , Li Dongliang 
Published: November 2022

AbstractFermentation process plays an important role in the biochemical properties and quality of cigar tobacco leaves (CTLs). In industry, exogenous additive (EA) was usually adopted for improving the quality of CTLs during fermentation. However, the mechanism of enhanced quality of CTLs fermented with EA was confused. Herein, the chemical compositions and microbial communities of CTLs during fermentation with EA were analyzed. The increased contents of total nitrogen and total sugar, as well as the improved consumption rate of reducing sugar in CTLs were found with the addition of EA. Besides, fermentation with EA reduced the content of total nonvolatile organic acid, especially unsaturated fatty acid. The contents of total and several representative aroma components were improved. Additionally, the increased abundance of Staphylococcus and decreased abundance of Aspergillus were detected. Combined with the changes of chemical compositions and microbial communities, it was confirmed that the carbohydrates and alcohols originated from EA promote the enrichment of Staphylococcus and accelerate biochemical reactions, such as Maillard reaction and esterification reaction, thus improving the contents and quality of aroma components in CTLs. This study demonstrated the mechanism of enhanced quality of CTLs fermented by EA, which provides more ideas for developing novel and efficient EAs.
The minimality of mean square error in chirp approximation using fractional fourier series and fractional fourier transform
Authors: Bafakeeh Omar T. , Yasir Muhammad , Raza Ali , Khan Sami Ullah , Kumar R. Naveen , Khan M. Ijaz , Almaleki Deyab A. , Khedher Nidhal Ben , Eldin Sayed M. , Galal Ahmed M. 
Published: November 2022

AbstractChirps are familiar in nature, have a built-in resistance to noise and interference, and are connected to a wide range of highly oscillatory processes. Detecting chirp oscillating patterns by traditional Fourier series is challenging because the chirp frequencies constantly change over time. Estimating such types of functions considering the partial sums of a Fourier series in Fourier analysis does not permit an approximate solution, which entails more Fourier coefficients required for signal reconstruction. The standard Fourier series, therefore, has a poor convergence rate and is an inadequate approximation. In this study, we use a parameterized orthonormal basis with an adjustable parameter to match the oscillating behavior of the chirp to approximate linear chirps using the partial sums of a generalized Fourier series known as fractional Fourier series, which gives the best approximation with only a small number of fractional Fourier coefficients. We used the fractional Fourier transform to compute the fractional Fourier coefficients at sample points. Additionally, we discover that the fractional parameter has the best value at which fractional Fourier coefficients of zero degrees have the most considerable magnitude, leading to the rapid decline of fractional Fourier coefficients of high degrees. Furthermore, fractional Fourier series approximation with optimal fractional parameters provides the minimum mean square error over the fractional Fourier parameter domain.
Nonlinear model of infection wavy oscillation of COVID-19 in Japan based on diffusion kinetics
Authors: Tsuruyama Tatsuaki 
Published: November 2022

AbstractThe infectious propagation of SARS-CoV-2 is continuing worldwide, and specifically, Japan is facing severe circumstances. Medical resource maintenance and action limitations remain the central measures. An analysis of long-term follow-up reports in Japan shows that the infection number follows a unique wavy oscillation, increasing and decreasing over time. However, only a few studies explain the infection wavy oscillation. This study introduces a novel nonlinear mathematical model of the new infection wavy oscillation by applying the macromolecule diffusion theory. In this model, the diffusion coefficient that depends on population density gives nonlinearity in infection propagation. As a result, our model accurately simulated infection wavy oscillations, and the infection wavy oscillation frequency and amplitude were closely linked with the recovery rate of infected individuals. In conclusion, our model provides a novel nonlinear contact infection analysis framework.
Effect of oxide layers formed by thermal oxidation on mechanical properties and NaCl-induced hot corrosion behavior of TC21 Ti-alloy
Authors: Ahmed Fathy S. , El-Zomor Mohamed A. , Ghazala Magdy S. Abo , Elshaer Ramadan N. 
Published: November 2022

AbstractIn the current study on TC21 Ti-alloy (6.5Al–3Mo–1.9Nb–2.2Sn–2.2Zr–1.5Cr), the thermal oxidation formed oxide layers that considerably influenced mechanical properties (hardness and wear). TC21 specimens were oxidized at 600, 700, 800, and 900 °C for 5, 20, and 50 h. NaCl-induced hot corrosion testing was carried out on raw (un-oxidized) and oxidized specimens at 600 and 800 °C for 50 h. The cyclic testing was performed at 600 °C for durations of 5, 10, 20, 30, 40, and 50 h. The average thickness of the layer grew with increasing oxidation time and temperature. A thin oxide layer (average 0.16 µm) was generated by oxidation at a temperature of 600 °C for a duration of 5 h, and at 800 °C, a large oxide layer of 10.8 µm thickness was formed. The most significant surface hardness of 1000 ± 150 HV0.05 was produced for the layer oxidized at 900 °C. On the other hand, the lowest hardness of 360 ± 150 HV0.05 was recorded for the raw materials. Best wear resistance had been achieved for specimens oxidized at 800 °C. During NaCl hot corrosion test, the weight loss of the raw specimen was 6.4 mg/cm2 due to the flaking off of the corrosion product. However, for specimens oxidized at 600 °C for 50 h, weight loss after corrosion testing was 0.54 mg/cm2, less than that of the specimen before corrosion. Oxidized specimens at 800 °C exhibited the best mechanical characteristics and corrosion resistance.
Living on the sea-coast: ranging and habitat distribution of Asiatic lions
Authors: Ram Mohan , Sahu Aradhana , Tikadar Shyamal , Jayawant Harshal , Jhala Lahar , Zala Yashpal , Venkataraman Meena 
Published: November 2022

AbstractEndangered Asiatic lions (Panthera leo persica) are renowned for their resilience and as a flagship of successful conservation and management. Lions dispersing out of the Gir forest have established themselves in the coastal habitats for about 25 years. We propose that the home range and spatial distribution of lions inhabiting the coastal habitats would be distinct from the forested habitats of the protected area. Each individual was monitored for an average of 367.2 ± 99.05 days from 2019 to 2021. The mean core area was 33.8 km2 (50% FK, SE 8.7 km2) and the overall average range was 171.8 km2 (90% FK, SE 40.5 km2). The home ranges were significantly larger for lions residing in the coastal area compared to lions in the protected area. The lion distribution model was built on MaxEnt, and inputs included location fixes of lions and variables, including 18 land use categories and Euclidean distance to linear infrastructures and human settlements. Lions were shown to use forest habitat patches extensively, followed by available habitats around water sources and wasteland. The study highlights the importance of corridors connecting to the Gir protected area and the importance of coastal forest patches for lion conservation and management.
Audiology Clinical Practice Patterns in Acoustic Reflex Testing
Authors: Stoup Johnna , Emanuel Diana C. , Kozlowski Amanda , Peitsch Katherine 
Published: November 2022

Purpose:
Periodic reports of audiology clinical practice patterns, including acoustic reflex threshold (ART) protocols, provide insights into trends and assist in clinical decision making. Therefore, the purpose of this study was to examine audiologists' ART protocols, factors influencing audiologists' decision to test, and considerations for mentoring Doctor of Audiology (AuD) students in ART testing.

Method:
This study used a paper survey distributed by mail to a random sample of audiologists. Participants were 102 audiologists, representing diversity across age, clinical experience, and work setting. The survey asked participants to provide (a) demographics, (b) ART protocols, (c) rationale for ART testing, and (d) perspectives on mentoring of ART testing.

Results:
When ART testing is conducted, 100% of respondents conduct ipsilateral ART testing, compared to 75% for contralateral testing. Most use 500-, 1000-, and 2000-Hz stimulus frequencies, and 56% report 4000 Hz. Patient-related factors are the primary reason participants cite for conducting, or not conducting, ART tests. Most supervisor-participants encourage AuD students to conduct ART tests, based on patient-centered and student learning–centered reasons, and use a variety of strategies to guide students when ART findings are unusual.

Conclusions:
Fewer than half (43%) of participants conduct ART testing for all new patients, suggesting it is ancillary to the standard test battery for most participants. When ART testing is conducted, ipsilateral testing only or a combination of ipsilateral and contralateral testing is used. Ongoing trends in ART testing include continued popularity of 500–2000 Hz and ipsilateral-only or ipsilateral plus contralateral testing.

Supplemental Material:

https://doi.org/10.23641/asha.21513987
Revisiting the Rainbow: Culturally Responsive Updates to a Standard Clinical Resource
Authors: Dietsch Angela M. , Mocarski Richard , Hope Debra A. , Woodruff Nathan , McKelvey Miechelle 
Published: November 2022

Purpose:
Cultural responsivity is essential for efficacious and affirming clinical relationships. This may be especially important with historically marginalized clients, such as transgender and gender-diverse (TGD) people seeking behaviorally based affirming communication services. We recommend modifications to standard tools for diagnostics and training that otherwise might undermine our efforts to create an inclusive and affirming environment.

Method:
Modifications to the Rainbow Passage, a standardized paragraph utilized for eliciting speech samples in clinical settings, focused on nongendered terminology and the elimination of content with religious connotations.

Results:
The recommended edits to the Rainbow Passage maintain similar length, cadence, and phonetic balance while considering cultural and health care context for TGD people and other clients.

Conclusion:
Simple linguistic changes to a standardized paragraph maintain clinical benefits and facilitate SLP efforts toward cultural responsivity, client engagement, and good clinical outcomes.
A pseudo‐colour enhancement algorithm for high‐bit RAW greyscale image of X‐ray film displaying on low‐bit monitors
Authors: Lv Zhigang , Li Liangliang , Wang Hongxi , Wang Peng , Li Jianheng , Shu Lei , Li Xiaoyan 
Published: November 2022

AbstractX‐ray flaw detection is widely used in non‐destructive area. The intuitive defect information can be obtained through the X‐ray film, which is usually digitized into high greyscale image by a 12‐bit or 16‐bit, called super 8‐bit, industrial scanner. When an ordinary 8‐bit monitor displays a super 8‐bit greyscale image, it appears loss of detail information, blurring of the image appears and other problems. Therefore, in this paper, a pseudo‐colour enhancement algorithm for displaying high‐bit RAW images on low‐bit monitor was proposed according to the chromatographic mapping relationship based on the visual characteristics of human eye. First, a high grey‐scale pseudo‐colour enhancement algorithm, called HOTM‐HGL, based on hot metal coding was proposed based on the standard film, whose enhancement effect is better than current mainstream algorithms. Second, aiming at the non‐standard film, a new stretching function called RAW‐Optical‐Stretching was reconstructed to improve HOTM‐HGL algorithm, called HOTM‐HGLS algorithm, whose display effect on ordinary monitors was improved in further. Finally, HOTM‐HGLS algorithm was applied in the detection of X‐ray film defect, which was convenient for the capture of defect information in the weld. Compared with the existing algorithms, various indicators have been greatly improved, enriching the amount of information and strengthening the image recognition effects.