bluuebunny/crossref_metadata_2025 huggingface dataset:
Homomorphic Integral and Dual Rectified Convolutional Grading for Salinity Prediction During Seedling in Rice
Authors: Shiragudikar Sharada K , Bharamagoudar Geeta
Published: October 2023

Rice is considered as one of the most sought out food crops globally. Salinity resilience plays an essential part in rice cultivation. But, uncontrolled saline level specifically at the seedling stage may unfavorable influence productivity of rice extensively. If not properly monitored, salinity stress brings about acute impairment during the seedling stage of crop growth bringing about an overall loss of 50%. Hence, it is mandatory to design an image classification and grading learning method for salinity stress analysis principally at the seedling stage and then benchmark its performance to circumvent depletion in rice yield. However, the classification using traditional method is both said to be laborious in terms of time and most of the time results in error owing to incorrect classification. To identify and classify salinity stress in rice seedlings using field images, the study reports the need of deep learning built model over traditional method of assessing rice crop's susceptibility to salt stress during the seedling stage. In this work, a method called Homomorphic Fourier Integral-based image classification and Dual Rectified Linear Convolutional (HFI-DRLC) grading learning for salinity stress level analysis in rice crops at seedling stage is proposed. Initially, an image enhancement framework that balances both field image features like as contrast, illumination and key properties that are important for identification of salinity stress level in rice crops at seedling stage. This is performed using Homomorphic Fourier Integral Filter-based Preprocessing model.
Next, Dual Rectified Linear Convolutional Neural prediction-based salinity tolerance in rice at seedling stage is designed to ensure both accuracy and precision. To investigate the effects of different improvement methods on the accuracy and precision of salinity tolerance in rice at seedling stage, comparison experiments between HFI-DRLC and traditional methods and comparison experiments with rice seedling dataset and rice seedling samplings from ICAR (Central Coastal Agricultural Research Institute, Old Goa, India) are executed. The method proposed in this study was shown to be more effective than traditional methods in terms of precision, recall, accuracy and error rate, providing a better method for salinity tolerance in rice at seedling stage.
A Collision Tumor of Clear Cell Renal Cell Carcinoma and Clear Cell Papillary Renal Cell Tumor: A Case Report and Literature Review
Authors: Lin Yingsheng , Guo Jinan , Jin Hongtao , Li Zaishang , Liu Zengqin , Xie Jing , Liu Junxu , Xiao Kefeng
Published: October 2023

Background Collision tumor refers to a special type of tumor in which two or more tumors of different origin occur in the same tissue or organ. There are few reports about primary renal collision tumor. We report a case of renal collision tumor composed of clear cell renal cell carcinoma (CCRCC) and clear cell papillary renal cell tumor (CCPRCT).
Case presentation A 51-year-old woman who was initially hospitalized in the respiratory department because of cough and fever. Urinary computed tomography (CT) showed two different incidental masses in the right kidney. The patient underwent radical right nephrectomy without lymph node dissection and postoperative adjuvant treatment. Pathological results of surgical specimens showed that this was a collision tumor composed of CCRCC and CCPRCT. To the best of our knowledge, this is the first case in the world. No recurrence of local or distant metastasis was found in routine follow-up 14 months after the operation.
Conclusions The coexistence of two kinds of renal malignant tumors is very rare. The microscopic features and immunohistochemical results of the tumors are helpful in the diagnosis of renal collision tumors composed of CCRCC and CCPRCT.
A long-term fulvestrant eluting implant is safe, non-toxic, and reduces the risk of breast cancer in in vivo models.
Authors: Thomas Scott , Roche Elysia , Desai Pujan , Pawlowska Nela , Bauer Diana , Gingrich David , Hsu Emily , Deitchman Amelia N. , Aweeka Fran , Munster Pamela N.
Published: October 2023

For individuals at high risk of developing breast cancer, interventions to mitigate this risk include surgical removal of their breasts and ovaries or five years treatment with the anti-estrogen tamoxifen or aromatase inhibitors. We hypothesized that a silicone based anti-estrogen-eluting implant placed within the breast would provide the risk reduction benefit of hormonal therapy, but without the adverse effects that limit compliance. To this end, we demonstrate that when placed adjacent to mammary tissue in the DMBA-induced rat breast cancer model a fulvestrant-eluting implant delays breast cancer with minimal systemic exposure. Using adult female sheep, fulvestrant-eluting implants were found to be safe and non-toxic when placed at the base of the udder for directed elution into the mammary tissue. At 30 days of elution, fulvestrant was found to penetrate mammary tissue forming a concentration gradient beyond 15 mm from the implant. Consistent with the small animal rat study, minimal systemic fulvestrant biodistribution was found. Together, these studies provide the proof of principle that a breast indwelling fulvestrant-eluting implant can reduce the risk of breast cancer and limit systemic exposure, while penetrating and distributing through breast tissue.
Multi-feature fusion for snowy traffic sign detection
Authors: WANG Zhanyu , LIU Lintao , DU Xuejing
Published: October 2023

Traffic sign detection is widely used in automatic driving, assisted driving, and other intelligent transportation systems, and its detection performance is closely related to rain-driving safety. In the process of traffic sign detection, there are traffic signs of different sizes with large size variations, which will have a certain impact on the detection accuracy. For the problem that the existing target detection algorithm is poor in detecting traffic signs with small sizes, low resolution, and inconspicuous features in the image, a traffic sign detection algorithm based on improved YOLOv5s is proposed. The M-ASPP module is proposed to enhance the perceptual field without reducing the feature information and increase the feature information fusion at different scales to improve the traffic sign detection accuracy. Introduce BiFPN instead of FPN to enable the fusion of deep high-level semantic information and shallow location information to improve the recognition accuracy of the algorithm. Add a small target detection head to improve the detection accuracy of small target traffic signs. Use the NWD loss function insheathe d of the IOU loss function to reduce the small-target scale sensitivity problem and improve the similarity between small-target detection. The improved traffic sign detection algorithm has better detection performance and can maintain its detection accuracy and detection speed even in snowy environments. Compared with other detection algorithms at this stage, this method has more advantages.
Signs and symptoms of anxiety and depression in fathers, mothers, and/or caregivers of children with Autism Spectrum Disorder
Authors: García Katheree , Hernández Michele , Michelén Angely , Acevedo Noemí , Ortiz Isi
Published: October 2023

Purpose: This study aimed to determine the prevalence of signs and symptoms of anxiety and depression in fathers, mothers, and caregivers of children with autism spectrum disorder affiliated with Fundación Luz y Esperanza por el Autismo and Centro de Atención Integral para la Discapacidad in Santiago de los Caballeros between October 2022 and January 2023.
Methods: We conducted a descriptive-cross-sectional study involving 101 participants selected through a non-probabilistic convenience sampling. Anxiety and depression severity were assessed using the Beck Anxiety Inventory and the Beck Depression Inventory, respectively.
Results: The results indicated that 52.5% of the population experienced weakness or fatigue, 47.5% had an urge to cry, and 45.5% reported feelings of sadness. Suicidal thoughts were reported by only 2% of the participants. Regarding anxiety severity, 48.5% had minimal levels, 24.8% had mild anxiety, 20.8% had moderate anxiety, and 5.9% experienced severe anxiety. In terms of depression, 55.4% had minimal depression, 21.8% had mild depression, 17.8% had moderate depression, and 5% experienced severe depression.
Conclusions: A statistically significant results (P < 0.05) were found when analyzing the relationship between marital status and monthly income with depression severity. Nonetheless, no statistically significant relationships were observed between anxiety and depression severity and other sociodemographic variables.
Convergent plug-and-play with proximal denoiser and unconstrained regularization parameter.
Authors: Hurault Samuel , Chambolle Antonin , Leclaire Arthur , Papadakis Nicolas
Published: October 2023

In this work, we present new proofs of convergence for Plug-and-Play (PnP) algorithms. PnP methods are efficient iterative algorithms for solving image inverse problems where regularization is performed by plugging a pre-trained denoiser in a proximal algorithm, such as Proximal Gradient Descent (PGD) or Douglas-Rachford Splitting (DRS). Recent research has explored convergence by incorporating a denoiser that writes exactly as a proximal operator. However, the corresponding PnP algorithm has then to be run with stepsize equal to $1$. The stepsize condition for nonconvex convergence of the proximal algorithm in use then translates to restrictive conditions on the regularization parameter of the inverse problem. This can severely degrade the restoration capacity of the algorithm. In this paper, we present two remedies for this limitation. First, we provide a novel convergence proof for PnP-DRS that does not impose any restrictions on the regularization parameter. Second, we examine a relaxed version of the PGD algorithm that converges across a broader range of regularization parameters. Our experimental study, conducted on deblurring and super-resolution experiments, demonstrate that both of these solutions enhance the accuracy of image restoration.
Propolis versus Nigella sativa Oil challenging the apoptotic pathway in Propylthiouracil-induced Hypothyroidism on parotid gland
Authors: AbdelFattah Shereen , El-din Mohamed Emad , Abdelfattah Nourhan , Nady Ghada
Published: October 2023

Defending parotid gland against deleterious effects of hypothyroidism may be conquered by using herbal substances such as propolis or Nigella sativa oil. Aim of work: This study was theorized to evaluate probolis versus NsO in amelioration of hazards of Propylthiouracil-induced Hypothyroidism on parotid gland; amending the influences of apoptosis and oxidative stress Material and Methods: 30 male rats were utilized; group I (control), group II (sham control), group III (PTU-induced hypothyrodism), Group IV: (PTU + probolis), Group V: (PTU + NsO), Histo-pathological; H&E, masson trichrome, toluidine blue, α-SMA were performed. MDA and GPx, molecular studies for Bcl2, Bax, caspase and p53 were evaluated. Results: severe pathological alterations in group III; irregular outline, shrunken acini with darkly stained pyknotic nuclei, interstitial exudate, inflammatory infiltrates, and extravasated blood were encountered. Marked increment in mean values of collagen, mast cells, SMA, P53, Bax and caspase. Surprisingly, Nso and probolis ameliorated these deleterious changes in an outstanding manner.
End-of-life outcomes of advanced cancer patients enrolled in palliative care
Authors: Lynch Andrew , Lyon Liisa , Ramalingam Nirmala , Whitehead Hannah , Liu Raymond
Published: October 2023

PURPOSE:
We sought to understand how Palliative Care (PC) enrollment differs between patient demographics and whether enrollment affects end of life (EOL) outcomes in an integrated system.
METHODS:
This retrospective cohort study included Stage IV solid cancer patients who died within 1 year of diagnosis within Kaiser Permanente Northern California between 1/1/2018-12/31/2020. Demographics and EOL outcomes were compared by PC enrollment. Categorical and continuous comparisons were made using Pearson’s χ2 and Wilcoxon Rank Sum tests. Logistic regression was performed to assess independent predictors of EOL outcomes.
RESULTS:
Among 3,575 patients, 45.1% enrolled in PC. Age and comorbidities (p < 0.01) differed between groups; race (p = 0.32) and socioeconomic status (p = 0.54) did not. PC was associated with lower odds of hospitalization (OR 0.62, CI 0.54–0.72) and ICU admission (OR 0.30, CI 0.32–0.50) in the last 30 days of life (DOL) and higher odds of hospice enrollment (OR 2.12, CI 1.81–2.41). More PC visits correlated with more hospice enrollment (49.2% 4 + PC visits, 43.6% 2–3 visits, and 39.9% 1 visit, p = 0.01) and less hospitalization in the last 30 DOL (33.5% vs. 34.4% vs. 45.4%, p < 0.01). Patients in PC had shorter hospital stays (4.0 days vs. 5.0 days, p < 0.01).
CONCLUSION:
There was improvement in EOL outcomes for patients in PC in their last year of life, with greater improvements as PC visits increased. No racial/ethnic or socioeconomic disparities were observed in enrollment.
Longitudinal analyses reveal that aging-related alterations in the intestinal environment promote HFD-induced obesity
Authors: Nakanishi Yumiko , Nozu Ryoko , Ueno Masami , Hioki Kyoji , Ishii Chiharu , Murakami Shinnosuke , Suzuki Kenta , Ka Yuyo , Ogura Tomoyuki , Ito Ayumi , Tachibana Naoko , Kato Tamotsu , Hirayama Akiyoshi , Sugimoto Masahiro , Soga Tomoyoshi , Ito Mamoru , Tomita Masaru , Ohno Hiroshi , Fukuda Shinji
Published: October 2023

Background: Aging is a progressive decline of cellular functions that ultimately affects whole-body homeostasis. Alterations in the gut microbiota associated with aging have been reported, however, these studies were mainly based on the simple comparison of young and old subjects. In this study, we longitudinally analyzed fecal microbial community composition, together with fecal and plasma metabolomes, in C57BL/6J mice over a period of 72 weeks.
Result: By using longitudinal microbiome and metabolome analyses, we found aging-related alterations in fecal microbiota and metabolome profiles. There was a significant reduction in gut microbial diversity with ageand, in addition, the fecal metabolome showed a significant decrease in monosaccharides and an increase in the metabolites of energy metabolism. In the age-related change of plasma metabolites, amino acids were significantly increased. The features of age-related changes in the fecal bacteria and metabolites were consistent with those observed in obesity and diabetes studies. Consistently, fecal microbiota transplantation from agedspecific pathogen-free (SPF) mice into young germ-free (GF) mice resulted in increased weight gain and impaired glucose tolerance.
Conclusion: Our findings provide new insights into the relationships between host aging and gut environmental changes and may contribute to the development of a solution to aging-related diseases such as obesity.
Does the Appointment Referral Reform Improve the Efficiency of Health Resource Allocation? -----Evidence Based on Beijing Samples
Authors: Wang Shuyun , Sun Zesheng , Yang Chenyi , Wang Shuhong
Published: October 2023

The structural congestion of health resources in China is serious. Under the guidance of "Healthy China 2030" development plan, the hierarchical medical reform has been carried out all over the country, with a view to realizing the pattern of hierarchical medical by guiding patients to make initial diagnosis and appointment for referral, thus improving the allocation efficiency of health resources and realizing the sustainable development of health undertakings. In this paper, county-level data were collected, and 16 counties in Beijing were taken as the treated group samples, and 101 counties in Guangzhou and Henan provinces were taken as the control group samples. The supply index(input index),demand index(output index) and efficiency index (input-output ratio) were calculated by entropy weight method, and the policy impact of the hierarchical medical reform on the allocation efficiency of health resources was explored by using propensity score matching difference-in-differences method(PSM-DID). The results show that the hierarchical medical reform in Beijing with appointment referral as a breakthrough has significantly improved the number of outpatients and the allocation efficiency of health resources, but it has no significant impact on the input index and output index. It can be seen that appointment referral has some effects on the demand side; The main reason is that the appointment referral optimizes the transfer of local residents between low-level hospitals and high-level hospitals, which has a demand conversion effect and a certain resource optimization effect, and has obvious influence on the urban areas and weak influence on the suburbs; Therefore, in order to improve the efficiency of health resource allocation, both demand-side reform and supply-side reform are needed.
Spectral characterizations and integer powers of tridiagonal 2-Toeplitz matrices
Authors: Solary Maryam Shams , SERRA-CAPIZZANO STEFANO
Published: October 2023

In this note, we consider real nonsymmetric tridiagonal 2-Toeplitz matrices $\bold{B}_n$. First we give the asymptotic spectral and singular value distribution of the whole matrix-sequence $\{\bold{B}_n\}_n$, which is described via two eigenvalue functions of a $2\times 2$ matrix-valued symbol. In connection with the above findings, we provide a characterization of the eigenvalues and eigenvectors of real tridiagonal 2-Toeplitz matrices $\bold{B}_n$ of even order, thatcan be turned into a numerical effective scheme for the computation of all the entries of $\bold{B}_n^l$, $n$ even and $l$ positive and small compared to $n$. We recall that a corresponding eigenvalue decomposition for odd order tridiagonal 2-Toeplitz matrices was found previously, while, for even orders, an implicit formula for all the eigenvalues is obtained.
AMS SC 15B05; 15A18; 65F15.
Metformin mediates AMPK/KIF1B signalling pathway to inhibit metastasis in bladder cancer cells
Authors: Wen Tianbin , Huang Fei , Zha Mingyong , Wang Qi , Tang Yong
Published: October 2023

Background
To investigate the inhibitory effect of metformin on metastasis of bladder cancer cells and its potential mechanism.
Methods
The CCK-8 method and RTCAxCELLigence cell function analyzer were used to monitor and evaluate metformin activity changes and migration inhibition of SW780, RT4 and UMUC3. On this basis, Western blotting was used to evaluate the expression of AMPKα/P-AMPKα, mTOR, AKT/P-AKT and KIF1B antibodies in bladder cancer cells after adding metformin. In vivo, the metastatic inhibitory effect of metformin on bladder cancer was experimentally assessed by establishing a hematogenous lung metastasis model of bladder cancer in C57BL/6 mice by MB49 cells. Then the expression of AMPKα/P-AMPKα and KIF1B antibodies was again assessed in the tumour tissues of the two groups of mice using Western blotting.
Results
Low concentration of metformin can significantly inhibit the proliferation of SW780 and UMUC3, and a high concentration of metformin can significantly inhibit the proliferation of RT4. The IC50 of the three cells was 26.0 ± 1.4 mM, 32.9 ± 5.3 mM and 20.0 ± 3.4 mM, respectively. The migration of SW780 and UMUC3 was significantly inhibited by metformin when the concentration of metformin was more than 5MM and the time of action was more than 72h (P < 0.05). After adding metformin, P-AMPK was increased in RT4 and UMUC3, and the expression of KIF1B, AKT and mTOR antibodies was decreased. In vivo, The mean time of tumour formation in the metformin group was 34.5 ± 8.3 days, significantly longer than in the control group (24.8 ± 3.7 days, P = 0.035). In addition, the median survival time of mice in the metformin group was 40 days (P = 0.016). Compared with the control group, p-AMPK was up-regulated, and KIF1B was down-regulated in the metformin group.
Conclusions
Metformin can effectively inhibit the proliferation, migration, and invasion of SW780 and UMUC3 cells in vitro. Metformin can inhibit the migration of MB49 cells in vivo and increase mice's survival time. The mechanism of inhibiting the migration of UMUC3 in vitro and MB49 in vivo may be mediated by the AMPK pathway, which directly or indirectly inhibits the expression of its downstream KIF1B gene by activating P-AMPK.
Syntactic priming in the classroom: using narratives to prime L2 Arabic speakers
Authors: Alzahrani Alaa , Almalki Hanan
Published: October 2023

A robust finding in psycholinguistics is syntactic priming, namely that prior language experience influences subsequent language processing. However, most of the empirical evidence for L2 syntactic priming comes from lab-based experiments, which might not reflect how priming occurs in typical language activities in the L2 classroom. As such, we conducted a classroom-based priming study and exposed 52 L2 Arabic speakers to eight story-reading sessions over two weeks that either included a high proportion of the fronted temporal phrase (TP) strucutre (experimental group) or included no fronted TPs (controls). The effect of L2 proficiency was also investigated. Results revealed that the experimental group did not significantly increase their use of fronted TPs in the immediate posttest or the one-week delayed posttest. Similarly, there was no observed effect for Arabic L2 proficiency on priming. We discuss our findings in light of related priming theories and previous findings. This study highlights the need for more research on syntactic priming via common language tasks in the L2 classroom.
Demographic models predict end-Pleistocene arrival and rapid expansion of pre-agropastoralist humans in Cyprus
Authors: Bradshaw Corey J. A. , Reepmeyer Christian , Saltré Frédérik , Agapiou Athos , Kassianidou Vasiliki , Demesticha Stella , Zomeni Zomenia , Polidorou Miltiadis , Moutsiou Theodora
Published: October 2023

The antiquity of human dispersal into Mediterranean islands and ensuing coastal adaptation have remained largely unexplored due to the prevailing assumption that the sea was a barrier to movement, and that islands were hostile environments to early hunter-gatherers (Cherry & Leppard 2018; Leppardet al.2022). Using the latest archaeological data, hindcasted climate projections, and age-structured demographic models, we demonstrate clear evidence for early arrival (14,257 to 13,182 calendar years ago) to Cyprus, and predicted that large groups of people (~ 1,000 to 1,375) arrived in 2–3 main events occurring within < 100 years to ensure low extinction risk. These results indicate that the post-glacial settlement of Cyprus involved only a few large-scale, organised events requiring advanced watercraft technology. Our spatially debiased and Signor-Lipps-corrected estimates indicate rapid settlement of the island within < 200 years, and expansion to a median of 4,000–5,000 people (0.36–0.46 km− 2) in < 11 human generations (< 300 years). Our results do not support the hypothesis of inaccessible and inhospitable islands in the Mediterranean by pre-agropastoralists, agreeing with analogous conclusions for other parts of the world such as the Indo-Pacific (Birdet al.2019; Bradshawet al.2019). Our results also highlight the need to revisit these questions in the Mediterranean and test their validity in light of new technologies, field methods, and data. By applying stochastic models based on both temporally and spatially explicit data for the first time to the Mediterranean region, we are able to place Cyprus and large islands in general as attractive and favourable destinations for palaeolithic peoples.
Characterization of myeloproliferative neoplasms based on genetics only and prognostication of transformation to blast phase
Authors: Meggendorfer Manja , Walter Wencke , Nadarajah Niroshan , Hutter Stephan , Müller Heiko , Haferlach Claudia , Kern Wolfgang , Haferlach Torsten
Published: October 2023

Myeloproliferative neoplasms (MPN) are a heterogeneous group of clonal disorders characterized by aberrant hematopoietic proliferation and an intrinsic risk of progression to blast phase. The WHO classification 2022 identifies chronic myeloid leukemia and the BCR::ABL1 negative MPNs polycythemia vera, primary myelofibrosis and essential thrombocythemia as individual entities. However, overlaps, borderline findings or transitions between MPN subtypes occur and incomplete clinical data often complicates diagnosis. Through comprehensive genetic characterization, we developed a machine learning model based on 12 genetic markers, which can stratify MPN patients with high accuracy and can be translated into a simple decision tree. Comparing samples at chronic and blast phase revealed, that one third of patients lost their MPN driver-gene mutation, while mutations in splicing and chromatin modifying genes were stable, indicating a shared founder clone of chronic and blast phase with different driver mutations and therefore different progressing capacities. This was further supported by gain of typical de novo AML gene mutations, accompanied by gain of complex karyotypes and RAS pathway gene mutations. Our data suggest to perform a broader genetic screening at diagnosis and also at clinical progress, as driver mutations may change and the MPN driver mutations present at diagnosis may disappear.
Impact of boron in ultraviolet quantum well-based light emitting diodes
Authors: Dhivyasri G. , Manikandan M. , Ajayan J. , Sree S. , Remya R. , Nirmal D.
Published: October 2023

The ByAlxGa1-x–yN system validates promise as a suitable option for fabricating opto-electronic devices like Light-Emitting-Diodes (LEDs) & laser diodes. This study conducts a comparative analysis between two types of LEDs: one with a single quantum well (SQW) composed of AlGaN and another with BAlGaN, containing 1% boron, 22% aluminum, and a 3 nm thickness. These LEDs are designed as AlGaN-based Quantum Well (LED1) and BAlGaN-based Quantum well devices (LED2). Technology Computer-Aided Design (TCAD) Silvaco physical simulator is used to perform simulations and comparisons in terms of both optical and electrical characteristics. The simulations encompass the anode current with respect to anode voltage, luminous power and wall-plug efficiency relative to injection current, and power spectral density concerning wavelength. Remarkably, even with a mere 1% boron content within the quantum well, the LED's performance displays a 2.3% enhancement in power spectral density and a 10% boost in wall-plug efficiency.
Enhancement in the Design of VDMOS for Elimination of Parasitic BJT
Authors: Prasad Madhulika , Sahu Satish Kumar , Parmar Onika
Published: October 2023

This work provides solution to wipe out the effect of inherent parasitic bipolar junction transistor(BJT) present in the conventional power MOSFET. In this design, source and drain doping is eliminated from the design process using charge plasma technique leading to the removal of parasitic BJT from the device. A vertical metal oxide-semiconductor field effect transistor(VMOS) is proposed employing this technique. It is simulated and compared with the conventional vertical double diffused metal-oxide-semiconductor field effect transistor(VDMOS). In this work, proposed VMOS is also tested with various materials that can be used for plasma formation. When compared to the conventional VDMOS, the proposed VMOS exhibits 54.21% increment in breakdown voltage, 55.03% reduction in ON-resistance and approximately two times of the drain current density.
IPBFS: Inference-aware Pruning with Bayesian Optimization based on Filter Similarity
Authors: Asadpour Mohammad , Aghayengejeh Nazila Pourhaji
Published: October 2023

Deep neural networks (DNNs) are significant tools for solving different problems in abundant fields. However, DNNs have large-scale parameters and weight redundancy and require high resources. Therefore, using DNNs is limited to devices such as wearable devices, mobile phones, and other edge devices that do not have enough resources to run. Using neural network pruning techniques, neural network models can be accelerated, and deep neural networks can be deployed on edge devices. However, the presence of filters with similar feature maps in each convolution layer increases redundancy, parameters, and the count of floating-point operations (FLOP) of deep models. In this paper, by combining the filter similarity algorithm and Bayesian optimization, the filters with a high percentage of similarity between their output feature maps and have a trivial effect on the model accuracy are automatically pruned. The proposed method has been applied to VGG16, ResNet20, and ResNet39 models on CIFAR10 and CIFAR100. Based on the best results, the FLOP and the count of parameters of the VGG16-CIFAR10 have decreased by 92.53% and 54.98%, and in the VGG16-CIFAR100 by 92.26% and 55.3%, respectively. Also, in the ResNet20 model, the count of parameters and FLOP operations have decreased by 31.48% and 13.89%, and in the ResNet39 model by 41.07% and 17.87%.
The Influence of Calibrated Equipment on Monitoring and Process Control
Authors: Barradas José
Published: October 2023

These days, where competition between companies is great, it is essential that they hold the most optimized processes possible, ensuring the quality of products and services and reducing operational costs. Thus, the use of tools or methodologies to meet the performance of processes and facilitate the detection of problems to reduce the variability is essential to ensure their competitiveness. The Statistical Process Control, is one of the seven quality tools used to provide information for more effective diagnosis in the prevention and detection of defects and problems in the evaluated processes and, consequently, helping increase productivity and results of the company, avoiding waste, being of greatest importance to guarantee the quality of the company.
In this study, we intend to discuss / evaluate the variability introduced into a process capability study, using control charts, and having on base the use of uncalibrated measurement equipment vs. calibrated measurement equipment.
Binary Integer Reformulations for Adiabatic Quantum Annealing Hardware
Authors: Barr Richard S. , Huskinson Toby
Published: October 2023

It has been demonstrated that Binary Integer Programming (BIP) formulations can be reformulated to a corresponding quadratic unconstrained binary optimization (QUBO) problem. The reformulation allows for BIPs to run as QUBOs on adiabatic quantum annealing hardware. Current BIP to QUBO reformulation techniques propagate dense QUBO structures that are not ideal for current hardware where quantum bits, and the connections between them, are scarce. We propose a methodology for BIP to QUBO reformulation that results in a sparse QUBO that, when used to embed set-partitioning problems onto a D-Wave Pegasus topology, requires 80% fewer qubits and is embedded is 41 times faster. The same methodology for set-covering problems requires 77% fewer qubits and is embedded 26 times faster. We discuss the limitations of the technique and avenues for future extensions.
Financial conflicts of interest among authors of clinical practice guideline for headache disorders and board-certified neurologists in Japan
Authors: Murayama Anju , Senoo Yuki
Published: October 2023

Aims: To evaluate fraction and size of financial conflicts of interest (COIs) between authors of Clinical Practice Guideline for Headache Disorders (CPGHD) and pharmaceutical companies in Japan.Methods: This retrospective analysis of personal payments data disclosed by pharmaceutical companies examined extents of financial relationships between all CPGHD authors and pharmaceutical companies in Japan. To compare the size and prevalence of payments to CPGHD authors with general neurologists, all neurologists who were board-certified by the Japanese Society of Neurology were also included in this study. Personal payments from pharmaceutical companies to the CPGHD authors and neurologists between 2016 and 2020 were extracted from public database and each pharmaceutical company.Results: Among 57 CPGHD authors, 56 (98.3%) received personal payments totalling $2.7 million from pharmaceutical companies between 2016 and 2020. Median five-year payments were $89,955 for CPGHD authors, while $521 for board-certified neurologists. The CPGHD chairperson and vice chairperson received substantial payments during the guideline development period. Nevertheless, because of less rigorous and transparent COI policy compared to international standard policies, only 10 authors disclosed their financial relationships with the pharmaceutical companies in the guideline.Conclusion: More than 98% of CPGHD authors received much higher personal payments from pharmaceutical companies than those to board-certified neurologists during the guideline development period in Japan. These findings would highlight the urgent need for policy interventions and increased transparency in financial relationships between guideline authors and pharmaceutical industry in Japan.
EcoBlendNet: A physics-informed neural network for optimizing supplementary material replacement to reduce the carbon footprint during cement hydration
Authors: Rahman Md Asif , Lu Yang
Published: October 2023

The addition of supplementary cementitious materials (SCMs) to cement triggers a complex cement hydration system characterized by intricate mineral admixture interactions. This work develops EcoBlendNet, a novel physics-informed neural network (PINN), to analyze carbon emissions during SCMs-enhanced cement hydration. EcoBlendNet integrates experimental data and the chemo-physical aspects of cement hydration in a heated cement paste, accurately predicting concrete maturity and compressive strength by capturing early-age temperature rises for various mixing blends, including Portland cement, cement-fly ash blends, and cement-slag blends. SCMs effectively reduce temperature rises without compromising strength development. The work illustrates a statistical method to efficiently leverage limited SCMs resources for mitigating environmental impacts in concrete construction. Quantitative analysis reveal that replacing 45–80% of cement with industrial fly ash and slag can reduce CO2 emissions by 60–80% during cement hydration. The validated EcoBlendNet offers a precise and interpretable tool for eco-friendly mixing blend selection, harmonizing with experimental methods. It’s adaptable to different material properties and mineral admixtures, thereby promoting eco-friendly concrete construction.
Representing Testimonial Voices in Little Revolution: Alecky Blythe’s Verbatim Theatre and Metatheatricality
Authors:   British And American Language And Literature Association Of Korea, Kim Yungduk
Published: October 2023

Blythe’s verbatim play Little Revolution combines her signature method of ‘recorded delivery’ and a metatheatrical narrative of her presence in interviews and on riot scenes, creating a unique space for bearing witness to the nation in turmoil. Her narrative encompasses encounters with reporters and rioters as well as interviews with local community residents, and interweaves voices of people from different parts of Hackney. Responding to the audience’s desire for authenticity in a post-truth environment, this play tries to offer “listening ears” to unheard and marginalized voices. Blythe’s self-conscious references to her interviewing actions make her verbatim play appear like a truthful testimonial performance based on her witnessing. Therefore, the play encourages the spectator to participate as witness to the performance and discover the underlying causes of social problems.
Wordsworth's “The Ruined Cottage” and English Romanticism: Focusing on Nature, Suffering and the Meditative Mind.
Authors:   British And American Language And Literature Association Of Korea, Choi Taesook
Published: October 2023

This paper explores how Wordsworth’s “The Ruined Cottage” embodies and directs the course that Romantic poetry will take, predating his poetic world, the meaning of his poetry, and the essence of poetic theory proclaimed in the Preface to his poetry collection, Lyrical Ballads. In doing so, this paper shall focus on the representation of nature and suffering, considering the dramatic frame as the focal point through which we can glimpse the transformation of Wordsworth’s thought. In “The Ruined Cottage” Wordsworth chooses an ordinary person, Margaret, as the subject matter for a tragic poem, and undertakes the work of mourning. This approach overturns or deviates from the dominant principles of Neo-classicism, allowing Wordsworth to implement his empathy for common people within the realms of literature and criticism. I shall argue that this choice represents novelty and poetic experimentation, serving as a revolutionary declaration about poetry, and impling a subdued form of political engagement. The attitude towards nature and humanity displayed by the wandering peddler and his meditative mind is similar to Wordsworth's perception of nature and humanity revealed through the ruined monastery in “Tintern Abbey”.
ENHANCING TRIBAL EDUCATION THROUGH COMMUNITY-BASED LEARNING INITIATIVES
Authors:   Research Scholar (English), (Kalinga University, Raipur)., T.M Jessy , Vijayanand A. ,   Professor, (Kalinga University, Raipur) Department of English.
Published: October 2023

This study delves into the critical endeavour of enhancing tribal education through community-based learning initiatives. Indigenous communities around the world face unique educational challenges rooted in historical disparities and cultural distinctiveness. The research investigates the impact of community-driven approaches that leverage local knowledge, traditions, and resources to enrich the educational experiences of tribal youth. Through a comprehensive review of literature, case studies, and qualitative interviews, this research highlights the pivotal role of community engagement in shaping tribal education. It explores the positive outcomes of initiatives that incorporate traditional wisdom, language, and cultural practices into curricula, fostering a sense of identity and pride among tribal learners. Moreover, the study examines the broader implications of community-based learning, including improved academic performance, strengthened cultural preservation efforts, and enhanced social cohesion within tribal communities. The findings underscore the significance of collaborative partnerships between tribal communities, educational institutions, and policymakers in developing and sustaining effective community-based learning programs. This research contributes to the discourse on inclusive and culturally responsive education, advocating for the holistic development of tribal students while respecting and celebrating their unique heritage. Ultimately, it emphasizes the potential of community-based learning initiatives to empower tribal youth and bridge the educational gap between indigenous and non-indigenous populations.
Assessment of Ukraine’s external debt burden under geopolitical instability
Authors: Razinkova Mila , Nebaba Natalia , Korneyev Maxim , Yakovenko Tetiana , Bohorodytska Anna
Published: October 2023

Several specific features and circumstances can characterize Ukraine’s policy of external public debt management, and the results are not always unambiguous. The study aims to assess the effect of external public debt on Ukraine’s economy from 2014 to 2022, a period that includes the Crimea annexation, the onset of the COVID-19 pandemic, and the beginning of the open Russian military aggression. To analyze the contemporary state of public debt and assess the degree of external debt burden’s impact on the country’s economy, a factor analysis technique known as the principal components method was used. Via the STATISTICA.12 software, it was substantiated that the debt situation worsens with the growth of debt burden and solvency indicators as their values approach the thresholds. The application of the Kaiser criterion allowed the selection of the most influential indicators (principal components) for assessing the external debt burden. The eigenvalue of the first component (inflation rate) is 4.48, and it explains 50% of the variance; the second component (production of export-oriented goods) has an eigenvalue of 2.43, explaining 27% of the variance; the third component (government spending on military purposes) has an eigenvalue of 1.24, and it explains 14% of the variance.
Administrative practices for improved environmental compliance of manufacturing small and medium-sized enterprises in South Africa
Authors: Maphumulo Jabhisile , Dongwe Khethiwe , Nyide Celani
Published: October 2023

The main constraints on SME growth in developing countries are regulations and legislation. Poor administration of environmental regulatory compliance is shown by the high number of SMEs in the manufacturing sector closing down annually in developing economies. Therefore, the purpose of this study is to investigate the influence of administrative practices on environmental compliance by manufacturing SMEs in a developing country. This study adopted a quantitative research approach. A sample size of 215 administrative personnel and managers from manufacturing SMEs operating within Msunduzi Municipality, KwaZulu-Natal, South Africa, was selected. Managers and administrative personnel were selected to eliminate biased answers that favor organizations and because both may have had an opportunity to enforce administrative practices that adhere to environmental regulations. The sample size was selected using a probability sampling method. The study shows that respondents agree that environmental compliance is a mandatory practice for SMEs in the manufacturing sector. Although results show that SMEs are complying with environmental regulations, they still face challenges. The study further demonstrates a disregard for the organization and storage of assessment reports by administrative personnel working in manufacturing SMEs.
The Impact of Communication and Trust in Leadership on Workers' Compensation: A Case Study of Suka Ramai Coffee Shop in Tanjung Pinang City
Authors: Situmorang Soraya Agustina
Published: October 2023

Human resources play a crucial role in every company, and managing them effectively is essential for creating a positive work environment. Human Capital Management (HCM) emphasizes the value of employees as assets that need to be professionally and sustainably managed. Proper management of employees can lead to significant benefits, including the ability to execute business strategies, create future opportunities, and enhance overall company competitiveness. This study examines the role of trust in leadership and communication in employee compensation. It adopts a descriptive qualitative approach, utilizing interview data and observations. The findings highlight the significance of trust in leaders for effective communication, which contributes to building trust among employees. When trust between leaders and employees is established, leaders can transparently provide fair compensation, which enhances employee motivation, performance, and loyalty to the company. The study underscores the importance of trust and communication in ensuring equitable compensation for employees.
Effectiveness of Psychoeducation Techniques and Guidance Counseling Services for Non-Guidance Counseling Primary Teachers
Authors: Salma Hasna Hafizhah
Published: October 2023

There is still limited availability of primary level school counselors, even though they play a significant role in helping primary level students grow and develop academically, socially, and emotionally. However, non-counseling teachers, such as homeroom teachers, religion teachers, and teachers of other subjects, also carry out the role of school counselors. Unfortunately, most of these teachers do not understand their ability to provide optimal counseling services. Therefore, this research aims to determine the effectiveness of psychoeducation in improving the understanding of non-counseling teachers regarding counseling guidance techniques and services. This quasi-experimental research with a one-group pre-test post-test design was conducted with 38 subjects selected using purposive sampling. The data analysis used the 1-tailed Wilcoxon test with JASP version 0.18.0. The results show that psychoeducation is effective in improving the understanding of counseling techniques and services among non-counseling teachers. The implications of this study can be useful for teachers, policymakers, and future researchers.
Hubungan Antara Personal Growth Initiative dan Retensi Karywan pada Generasi Z
Authors: Cahyani Anggita Dian , Vierri Michael
Published: October 2023

Generation Z is one of the generations that has an important role in the world of work. In addition, with the development of the world of work, employee retention is one of the main challenges faced by companies to maintain company stability and sustainability. In order to maintain high retention of generation Z employees, companies need to understand the factors that influence them to remain in the organization. One factor that can affect the retention of generation Z employees is personal growth initiative. This study aims to analyze whether there is a significant relationship between the two variables. This study involved 100 participants who were generation Z who were already working. The design of this study is correlational, the data was taken using limesurvey and analyzed by product moment correlation analysis. The analysis results showed a positive relationship between personal growth initiative and employee retention (p = -0.00) with a value of r = 0.36. This research provides a better understanding of the importance of personal growth initiatives and their relationship to employee retention.
The Influence of The #Pilahsampah Campaign on Instagram on The Intention of Sorting Plastic Waste in Youth
Authors: Instiani Cornelia , Godwin Raymon , Verena Clara
Published: October 2023

Research looks at the effect of the #pilahsampah campaign on Instagram on the intention to sort plastic waste in adolescents. The #pilahsampah campaign includes information on Instagram media about waste sorting. Experimental design study with 74 adolescent participants from DKI Jakarta with an age range of 19-23 years. Intention to sort waste was measured using a questionnaire developed by researchers based on the ATCT intention criteria theory (Action, target, context, and time) by Fishbein and Ajzen (2005). The results based on the analysis of the Independent T Test showed that in the post-test of the experimental group there were differences from the pre-test that was done previously compared to the control group (Sig.=0.00, p-value <0.05). It was concluded that the #pilahsampah campaign on Instagram had a significant influence on the intention to sort plastic waste among teenagers.