bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction of the Bending Strength of a Composite Steel Beam–Slab Member Filled with Recycled Concrete
Authors: Liejy Mohammed Chyad , Al Zand Ahmed W. , Mutalib Azrul A. , Abdulhameed Ali A. , Kaish A. B. M. A. , Tawfeeq Wadhah M. , Baharom Shahrizan , Al-Attar Alyaa A. , Hanoon Ammar N. , Yaseen Zaher Mundher
Published: March 2023

This study investigated the structural behavior of a beam–slab member fabricated using a steel C-Purlins beam carrying a profile steel sheet slab covered by a dry board sheet filled with recycled aggregate concrete, called a CBPDS member. This concept was developed to reduce the cost and self-weight of the composite beam–slab system; it replaces the hot-rolled steel I-beam with a steel C-Purlins section, which is easier to fabricate and weighs less. For this purpose, six full-scale CBPDS specimens were tested under four-point static bending. This study investigated the effect of using double C-Purlins beams face-to-face as connected or separated sections and the effect of using concrete material that contains different recycled aggregates to replace raw aggregates. Test results confirmed that using double C-Purlins beams with a face-to-face configuration achieved better concrete confinement behavior than a separate configuration did; specifically, a higher bending capacity and ductility index by about +10.7% and +15.7%, respectively. Generally, the overall bending behavior of the tested specimens was not significantly affected when the infill concrete’s raw aggregates were replaced with 50% and 100% recycled aggregates; however, their bending capacities were reduced, at −8.0% and −11.6%, respectively, compared to the control specimen (0% recycled aggregates). Furthermore, a new theoretical model developed during this study to predict the nominal bending strength of the suggested CBPDS member showed acceptable mean value (0.970) and standard deviation (3.6%) compared with the corresponding test results.
Biosynthesis and Characterization of Calcium Oxide Nanoparticles from Citrullus colocynthis Fruit Extracts; Their Biocompatibility and Bioactivities
Authors: Mazher Mubsher , Ishtiaq Muhammad , Hamid Bilqeesa , Haq Shiekh Marifatul , Mazhar Atiya , Bashir Faiza , Mazhar Mussaddaq , Mahmoud Eman A. , Casini Ryan , Alataway Abed , Dewidar Ahmed Z. , Elansary Hosam O.
Published: March 2023

Modern nanotechnology encompasses every field of life. Nowadays, phytochemically fabricated nanoparticles are being widely studied for their bioactivities and biosafety. The present research studied the synthesis, characterization, stability, biocompatibility, and in vitro bioactivities of calcium oxide nanoparticles (CaONPs). The CaONPs were synthesized using Citrullus colocynthis ethanolic fruit extracts. Greenly synthesized nanoparticles had an average size of 35.93 ± 2.54 nm and showed an absorbance peak at 325 nm. An absorbance peak in this range depicts the coating of phenolic acids, flavones, flavonols, and flavonoids on the surface of CaONPs. The XRD pattern showed sharp peaks that illustrated the preferred cubic crystalline nature of triturate. A great hindrance to the use of nanoparticles in the field of medicine is their extremely reactive nature. The FTIR analysis of the CaONPs showed a coating of phytochemicals on their surface, due to which they showed great stability. The vibrations present at 3639 cm−1 for alcohols or phenols, 2860 cm−1 for alkanes, 2487 cm−1 for alkynes, 1625 cm−1 for amines, and 1434 cm−1 for carboxylic acids and aldehydes show adsorption of phytochemicals on the surface of CaONPs. The CaONPs were highly stable over time; however, their stability was slightly disturbed by varying salinity and pH. The dialysis membrane in vitro release analysis revealed consistent nanoparticle release over a 10-h period. The bioactivities of CaONPs, C. colocynthis fruit extracts, and their synergistic solution were assessed. Synergistic solutions of both CaONPs and C. colocynthis fruit extracts showed great bioactivity and biosafety. The synergistic solution reduced cell viability by only 14.68% and caused only 16% hemolysis. The synergistic solution inhibited Micrococcus luteus slightly more effectively than streptomycin, with an activity index of 1.02. It also caused an 83.87% reduction in free radicals.
Preparation of Carbon Nanotubes/Alumina Hybrid-Filled Phenolic Composite with Enhanced Wear Resistance
Authors: Saleh Siti Shuhadah Md , Omar Mohd Firdaus , Akil Hazizan Md , Kudus Muhammad Helmi Abdul , Abdullah Mohd Mustafa Al Bakri , Sandu Andrei Victor , Vizureanu Petrica , Halim Khairul Anwar Abdul , Rasidi Mohamad Syahmie Mohamad , Mahamud Syarifah Nuraqmar Syed , Sandu Ion , Nosbi Norlin
Published: March 2023

Hybrid fillers can be produced via various methods, such as physical mixing and chemical modification. However, there is a limited number of studies on the effect of hybridisation on the mechanical performance of hybrid filler-reinforced polymer composites, especially in the context of wear performance. This study investigated the wear resistance of carbon nanotubes (CNTs)/alumina hybrid-filled phenolic composite, where two hybrid methods were used to produce the CNTs/alumina hybrid filler. The CNTs/alumina (CVD hybrid) was synthesised using the chemical vapour deposition (CVD) method, whereas the CNTs-/alumina (physically hybrid) was prepared using the ball milling method. The CNTs/alumina hybrid filler was then used as a filler in the phenolic composites. The composites were prepared using a hot mounting press and then subjected to a dry sliding wear test using a pin-on-disc (POD) tester. The results show that the composite filled with the CVD hybrid filler (HYB composite) had better wear resistance than the composite filled with physically hybrid filler (PHY composite) and pure phenolic. At 5 wt%, the HYB composite showed a 74.68% reduction in wear, while the PHY composite showed a 56.44% reduction in wear compared to pure phenolic. The HYB composite exhibited the lowest average coefficient of friction (COF) compared to the PHY composite and pure phenolic. The average COF decreased with increasing sliding speeds and applied loads. The phenolic composites’ wear and average COF are in the order HYB composite < PHY composite < pure phenolic under all sliding speeds and applied loads.
How Do Brown Seaweeds Work on Biomarkers of Dyslipidemia? A Systematic Review with Meta-Analysis and Meta-Regression
Authors: Shin Dayeon , Shim Sung Ryul , Wu Yueying , Hong Gayeon , Jeon Hyunyu , Kim Choong-Gon , Lee Kyung Ju
Published: March 2023

Dyslipidemia is a common chronic disease that increases the risk of cardiovascular disease. Diet plays an important role in the development of dyslipidemia. As people pay increased attention to healthy eating habits, brown seaweed consumption is increasing, particularly in East Asian countries. The association between dyslipidemia and brown seaweed consumption has been previously demonstrated. We searched for keywords associated with brown seaweed and dyslipidemia in electronic databases such as PubMed, Embase, and Cochrane. Heterogeneity was estimated using the I2 statistic. The 95% confidence interval (CI) of the forest plot and heterogeneity were confirmed using meta-ANOVA and meta-regression. Funnel plots and publication bias statistical tests were used to determine publication bias. Statistical significance was set at p < 0.05. In this meta-analysis, we found that brown seaweed intake significantly decreased the levels of total cholesterol (mean difference (MD): −3.001; 95% CI: −5.770, −0.232) and low-density lipoprotein (LDL) cholesterol (MD: −6.519; 95% CI: −12.884, −0.154); nevertheless, the statistically significant association of brown seaweed intake with high-density lipoprotein (HDL) cholesterol and triglycerides were not observed in our study (MD: 0.889; 95% CI: −0.558, 2.335 and MD: 8.515; 95% CI: −19.354, 36.383). Our study demonstrated that brown seaweed and its extracts decreased total cholesterol and LDL cholesterol levels. The use of brown seaweeds may be a promising strategy to reduce the risk of dyslipidemia. Future studies involving a larger population are warranted to investigate the dose–response association of brown seaweed consumption with dyslipidemia.
The Effect of Prognostic Nutritional Index on Infection in Acute Ischemic Stroke Patients
Authors: Nergiz Sebnem , Ozturk Unal
Published: March 2023

Objectives: Malnutrition is frequently seen in stroke patients. Malnutrition worsens the prognosis and increases the mortality rate in acute ischemic stroke patients. Malnutrition is a significant factor not only in the initiation of infection but also in its progression. The prognostic nutritional index (PNI) is a new index that evaluates the nutrition and inflammatory status. This study aims to investigate the relationship between PNI and stroke-related infection (SRI) development during hospitalization in patients with acute ischemic stroke. Materials and Methods: Acute ischemic stroke was the primary diagnosis for 158 patients who were admitted to the neurology intensive care unit. Patients’ demographic, clinical, and laboratory parameters were recorded. PNI was calculated according to the formula given below. PNI: 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (mm3). PNI > 380 normal, PNI: 350–380 moderate malnutrition risk, PNI < 350 severe malnutrition risk. Results: A total of 158 patients with acute ischemic stroke were included in the study. There were 70 male and 88 female patients, whereas the mean age of the patients was 67.79 ± 14.0 years. Nosocomial infection developed in 34 (21%) of the patients. Compared to high PNI scores, patients with low PNI scores were generally older, and the National Institutes of Health Stroke Scale (NIHSS) score, atrial fibrillation, infection, mortality rate, and hospitalization rates were all significantly higher. Conclusions: In this study, we discovered that patients with poor PNI had a considerably increased rate of infection development. It is vital to evaluate the nutritional status of patients with acute ischemic stroke during hospitalization.
GANs-Based Intracoronary Optical Coherence Tomography Image Augmentation for Improved Plaques Characterization Using Deep Neural Networks
Authors: Zafar Haroon , Zafar Junaid , Sharif Faisal
Published: March 2023

Data augmentation using generative adversarial networks (GANs) is vital in the creation of new instances that include imaging modality tasks for improved deep learning classification. In this study, conditional generative adversarial networks (cGANs) were used on a dataset of OCT (Optical Coherence Tomography)-acquired images of coronary atrial plaques for synthetic data creation for the first time, and further validated using deep learning architecture. A new OCT images dataset of 51 patients marked by three professionals was created and programmed. We used cGANs to synthetically populate the coronary aerial plaques dataset by factors of 5×, 10×, 50× and 100× from a limited original dataset to enhance its volume and diversification. The loss functions for the generator and the discriminator were set up to generate perfect aliases. The augmented OCT dataset was then used in the training phase of the leading AlexNet architecture. We used cGANs to create synthetic images and envisaged the impact of the ratio of real data to synthetic data on classification accuracy. We illustrated through experiments that augmenting real images with synthetic images by a factor of 50× during training helped improve the test accuracy of the classification architecture for label prediction by 15.8%. Further, we performed training time assessments against a number of iterations to identify optimum time efficiency. Automated plaques detection was found to be in conformity with clinical results using our proposed class conditioning GAN architecture.
Facial Micro-Expression Recognition Using Double-Stream 3D Convolutional Neural Network with Domain Adaptation
Authors: Li Zhengdao , Zhang Yupei , Xing Hanwen , Chan Kwok-Leung
Published: March 2023

Humans show micro-expressions (MEs) under some circumstances. MEs are a display of emotions that a human wants to conceal. The recognition of MEs has been applied in various fields. However, automatic ME recognition remains a challenging problem due to two major obstacles. As MEs are typically of short duration and low intensity, it is hard to extract discriminative features from ME videos. Moreover, it is tedious to collect ME data. Existing ME datasets usually contain insufficient video samples. In this paper, we propose a deep learning model, double-stream 3D convolutional neural network (DS-3DCNN), for recognizing MEs captured in video. The recognition framework contains two streams of 3D-CNN. The first extracts spatiotemporal features from the raw ME videos. The second extracts variations of the facial motions within the spatiotemporal domain. To facilitate feature extraction, the subtle motion embedded in a ME is amplified. To address the insufficient ME data, a macro-expression dataset is employed to expand the training sample size. Supervised domain adaptation is adopted in model training in order to bridge the difference between ME and macro-expression datasets. The DS-3DCNN model is evaluated on two publicly available ME datasets. The results show that the model outperforms various state-of-the-art models; in particular, the model outperformed the best model presented in MEGC2019 by more than 6%.
Sensitivity Analysis of RV Reducer Rotation Error Based on Deep Gaussian Processes
Authors: Jin Shousong , Shang Shulong , Jiang Suqi , Cao Mengyi , Wang Yaliang
Published: March 2023

The rotation error is the most important quality characteristic index of a rotate vector (RV) reducer, and it is difficult to accurately optimize the design of a RV reducer, such as the Taguchi type, due to the many factors affecting the rotation error and the serious coupling effect among the factors. This paper analyzes the RV reducer rotation error and each factor based on the deep Gaussian processes (DeepGP) model and Sobol sensitivity analysis(SA) method. Firstly, using the optimal Latin hypercube sampling (OLHS) approach and the DeepGP model, a high-precision regression prediction model of the rotation error and each affecting factor was created. On the basis of the prediction model, the Sobol method was used to conduct a global SA of the factors influencing the rotation error and to compare the coupling relationship between the factors. The results show that the OLHS method and the DeepGP model are suitable for predicting the rotation error in this paper, and the accuracy of the prediction model constructed based on both of them is as high as 95%. The rotation error mainly depends on the influencing factors in the second stage cycloidal pinwheel drive part. The primary involute planetary part and planetary output carrier’s rotation error factors have little effect. The coupling effects between the matching clearance between the pin gear and needle gear hole (δJ) and the circular position error of the needle gear hole (δt) is noticeably stronger.
Facial Motion Capture System Based on Facial Electromyogram and Electrooculogram for Immersive Social Virtual Reality Applications
Authors: Kim Chunghwan , Cha Ho-Seung , Kim Junghwan , Kwak HwyKuen , Lee WooJin , Im Chang-Hwan
Published: March 2023

With the rapid development of virtual reality (VR) technology and the market growth of social network services (SNS), VR-based SNS have been actively developed, in which 3D avatars interact with each other on behalf of the users. To provide the users with more immersive experiences in a metaverse, facial recognition technologies that can reproduce the user’s facial gestures on their personal avatar are required. However, it is generally difficult to employ traditional camera-based facial tracking technology to recognize the facial expressions of VR users because a large portion of the user’s face is occluded by a VR head-mounted display (HMD). To address this issue, attempts have been made to recognize users’ facial expressions based on facial electromyogram (fEMG) recorded around the eyes. fEMG-based facial expression recognition (FER) technology requires only tiny electrodes that can be readily embedded in the HMD pad that is in contact with the user’s facial skin. Additionally, electrodes recording fEMG signals can simultaneously acquire electrooculogram (EOG) signals, which can be used to track the user’s eyeball movements and detect eye blinks. In this study, we implemented an fEMG- and EOG-based FER system using ten electrodes arranged around the eyes, assuming a commercial VR HMD device. Our FER system could continuously capture various facial motions, including five different lip motions and two different eyebrow motions, from fEMG signals. Unlike previous fEMG-based FER systems that simply classified discrete expressions, with the proposed FER system, natural facial expressions could be continuously projected on the 3D avatar face using machine-learning-based regression with a new concept named the virtual blend shape weight, making it unnecessary to simultaneously record fEMG and camera images for each user. An EOG-based eye tracking system was also implemented for the detection of eye blinks and eye gaze directions using the same electrodes. These two technologies were simultaneously employed to implement a real-time facial motion capture system, which could successfully replicate the user’s facial expressions on a realistic avatar face in real time. To the best of our knowledge, the concurrent use of fEMG and EOG for facial motion capture has not been reported before.
CSI-Based Human Activity Recognition Using Multi-Input Multi-Output Autoencoder and Fine-Tuning
Authors: Chahoushi Mahnaz , Nabati Mohammad , Asvadi Reza , Ghorashi Seyed Ali
Published: March 2023

Wi-Fi-based human activity recognition (HAR) has gained considerable attention recently due to its ease of use and the availability of its infrastructures and sensors. Channel state information (CSI) captures how Wi-Fi signals are transmitted through the environment. Using channel state information of the received signals transmitted from Wi-Fi access points, human activity can be recognized with more accuracy compared with the received signal strength indicator (RSSI). However, in many scenarios and applications, there is a serious limit in the volume of training data because of cost, time, or resource constraints. In this study, multiple deep learning models have been trained for HAR to achieve an acceptable accuracy level while using less training data compared to other machine learning techniques. To do so, a pretrained encoder which is trained using only a limited number of data samples, is utilized for feature extraction. Then, by using fine-tuning, this encoder is utilized in the classifier, which is trained by a fraction of the rest of the data, and the training is continued alongside the rest of the classifier’s layers. Simulation results show that by using only 50% of the training data, there is a 20% improvement compared with the case where the encoder is not used. We also showed that by using an untrainable encoder, an accuracy improvement of 11% using 50% of the training data is achievable with a lower complexity level.
A Modeling Method for Thermal Error Prediction of CNC Machine Equipment Based on Sparrow Search Algorithm and Long Short-Term Memory Neural Network
Authors: Gao Ying , Xia Xiaojun , Guo Yinrui
Published: March 2023

To better solve the problem of thermal error of computerized numerical control machining equipment (CNCME), a thermal error prediction model based on the sparrow search algorithm and long short-term memory neural network (SSA-LSTMNN) is proposed. Firstly, the Fuzzy C-means clustering algorithm (FCMCA) is used to screen the key temperature-sensitive points of the CNCME. Secondly, by taking the temperature rise data of key temperature-sensitive points as input and the corresponding time thermal error data as output, we established the SSA-LSTMNN thermal error prediction model. The SSA is used to optimize the parameters of LSTMNN and make its performance play the best. Taking the VMC1060 vertical machining center as the research object, we carried out the experiment. Finally, the prediction effect of the proposed model is compared with the article swarm optimized algorithm and LSTM neural network (PSOA-LSTMNN), the LSTMNN, and the traditional recurrent neural network (TRNN) model. The results show that the average values of the predicted residual fluctuations of the SSA-LSTMNN model are all more than 44% lower than those of the other three models under different operating conditions, which has a strong practicality.
Understanding and Pursuing Labor Trafficking Cases Collaboratively
Authors: Marsh Derek J.
Published: March 2023

The disparity between sex and labor federal prosecutions in the United States underscores the significant degree to which labor trafficking investigations and prosecutions have been marginalized since the Trafficking Victims Protection Act (TVPA) was enacted in 2000 in the United States. This article focuses on the issue of labor trafficking and considers the importance of collaborating with multi-agency, multi-jurisdictional organizations to successfully pursue labor trafficking cases. Labor trafficking in the United States is defined, the importance of executive leadership support is reviewed, and suggestions for stakeholders to proactively identify potential foreign national and domestic labor trafficking cases are explored using the barrier model. A discussion of the trauma experienced by labor trafficking victims is made to further underscore the importance of including service providers in anti-labor trafficking collaborations.
Asymptomatic and Mild SARS-CoV-2 Infections in a Hungarian Outpatient Cohort in the First Year of the COVID-19 Pandemic
Authors: Jankovics István , Müller Cecília , Gönczöl Éva , Visontai Ildikó , Varga István , Lőrincz Márta , Kuti Dávid , Hasitz Ágnes , Malik Péter , Ursu Krisztina , Bányász Borbála , Sarkadi Júlia , Dénes Béla
Published: March 2023

We aimed to estimate the proportion of the population infected with SARS-CoV-2 in the first year of the pandemic. The study population consisted of outpatient adults with mild or no COVID-19 symptoms and was divided into subpopulations with different levels of exposure. Among the subpopulation without known previous COVID-19 contacts, 4143 patients were investigated. Of the subpopulation with known COVID-19 contacts, 594 patients were investigated. IgG- and IgA-seroprevalence and RT-PCR positivity were determined in context with COVID-19 symptoms. Our results suggested no significant age-related differences between participants for IgG positivity but indicated that COVID-19 symptoms occurred most frequently in people aged between 20 and 29 years. Depending on the study population, 23.4–74.0% PCR-positive people (who were symptomless SARS-CoV-2 carriers at the time of the investigation) were identified. It was also observed that 72.7% of the patients remained seronegative for 30 days or more after their first PCR-positive results. This study hoped to contribute to the scientific understanding of the significance of asymptomatic and mild infections in the long persistence of the pandemic.
Retrospective Investigation and Genetic Variation Analysis of Chicken Infectious Anemia in Shandong Province, 2020–2022
Authors: Li Jing , Lou Yufei , Li Peixun , Wang Tailong , Lv Zehao , Guo Zhiyun , Geng Ningwei , Meng Fanliang , Liu Sidang , Li Ning
Published: March 2023

Chicken infectious anemia (CIA) is a vertical transmission infectious chicken disease caused by the chicken infectious anemia virus (CAV). The disease can induce stunting and immunosuppression in chicks by infecting bone marrow-derived stem cells, causing huge economic losses for the poultry industry. To determine the prevalence of CIA in Shandong Province, China, 854 suspected CIA samples were collected and analyzed in 13 cities in Shandong from 2020 to 2022. The PCR results showed that a total of 115 CAV were isolated. The CAV-positive rates were 17.21% (26/151) in 2020, 12.23% (35/286) in 2021, and 12.94% (54/417) in 2022, with severe mixed infections. Among them, CAV and fowl adenovirus (FAdV) were the most common, accounting for 40.86%. VP1 gene homology analysis showed that isolated strains shared 96.1–100% homology with the previously reported CAV strains. Genetic variation analysis showed that most of the isolated CAV strains were located in genotype A. These results indicate that CIA infection in Shandong chickens in recent years has been prevalent and mixed infections are common, but there were no significant genetic variations. Our results extend the understanding of the prevalence and genetic evolution of CIA in Shandong Province. They will offer new references for further study of the epidemiology and virus variation and the prevention and control of this disease.
EFFECT OF NON-STEROIDAL ANTI-INFLAMMATORY DRUGS (DICLOFENAC, CELECOXIB, NIMESULIDE, DIACEREIN) ON RENAL TRANSPORT OF URIC ACID IN PATIENTS WITH OXALATE NEPHROPATHY AND CONCOMITANT GONARTHRITIS
Authors: Voronina Natal'ya Vladimirovna , Gel'mutdinov Danir Danisovich , Lemeshchenko Ol'ga Valentinovna
Published: March 2023

The aim of the study is to evaluate the excreted uric acid fraction in patients with oxalate nephropathy in the early stages of chronic kidney disease with gonarthritis under non-steroidal anti-inflammatory drug therapy.
Materials and Methods. An open, comparative, randomized study included 192 women, aged 51.4±2.3, with oxalate nephropathy and primary gonarthritis. The glomerular filtration rate was >60 ml/min, BMI – 23.4±1.8. The first group of patients was taking Diclofenac Sodium (4500 mg/month), the second group – Celecoxib (6000 mg/month), the third group – Nimesulide (6000 mg/month), the fourth group – Diacerein (6000 mg/2 months). The control group for each drug consisted of patients with gonarthritis, but without nephropathy and hyperuricemia. The patients of the control groups were treated similarly. The excreted fraction of uric acid in the subjects was assessed on Day 15, Day 30, and Day 60 according to generally accepted methods.
Results. A decrease in the excreted fraction of uric acid, hyperuricemia, and a decrease in the glomerular filtration rate were observed in patients taking Diclofenac. After one-month Diclofenac withdrawl, the parameters did not return to their original levels. Celecoxib and Nimesulide had margical effect on the changes of the excreted uric acid fraction and a decrease in glomerular filtration rate. A month after their withdrawl, the parameters returned to their original levels. Diacerein had no effect on the renal transport of uric acid. No significant changes were noted in the control.
Dictionary Digitization as a Lexicographic Challenge. Technical Terms in the Lexicon Mediae et Infimae Latinitatis Polonorum
Authors: Nowak Andrzej Krzysztof
Published: March 2023

This paper presents the brief report of the feasibility of automatic term extraction from the Lexicon Mediae et Infimae Latinitiatis Polonorum. Firstly, the representation of technical terms in the printed version of the LMILP is scrutinized. Next, the analysis of the preconceptions about the medieval terminological system inherent in the LMILP is provided. In the conclusions, the main problems of automatic term extraction from print dictionaries are demonstrated.
Religious education teacher before some challenges of pandemic, earthquake and migration - spiritual aspect
Authors: Jurić Amabilis
Published: March 2023

The coronavirus pandemic, and no less the earthquake, together with the challenges we face in migration, have caused numerous problems in the lives of many people who are looking for answers, both in professional and personal, in spiritual and religious life. Therefore, the first part of this paper elaborates some features of life during the pandemic that affected the whole world, the earthquakes that hit Zagreb and Sisak-Moslavina counties as well as the population of migrants, primarily observed in a spiritual- religious context. Who is more called than a religious education teacher to provide an answer to the fundamental question of what it really means to believe and live the faith today, in this time of challenge and temptation? A credible answer to modern challenges can be given only by a religious education teacher who is a“convincingly convinced believer” with an intense witness dimension, a witness of God’s love and mercy and a man who acknowledges,accepts and respects the differences and richness of others.The paper also used the statements of religious education teachersfrom in-depth interviews conducted by qualitative research inthe Zagreb Archdiocese and the Sisak Diocese.
Dissecção aguda de aorta - aspectos epidemiológicos, fisiopatológicos e manejo terapêutico
Authors: De Souza Fernanda Marinho , Araujo João Vitor Gontijo , Costa Ana Clara Boareto , Camargos Bianca Pires , Carvalho Millena Kellen Sousa , Calzavara Gabriel Pires , de Oliveira Luísa Gabriela Martins , De Andrade Júnior Jescejeime , Portella Vitória Novaes
Published: March 2023

A dissecção aguda de aorta (DAA) é uma emergência cardíaca de risco de morte elevado, pois tem taxa de mortalidade de 90% anual se não identificada e tratada precocemente. Estima-se que 2,6 a 3,5 casos por 100.000 pessoas sejam diagnosticados ao ano, principalmente em pessoas acima de 75 anos, sendo responsável por 7% das mortes súbitas extra-hospitalares. A identificação e tratamento adequado da doença são importantes para a redução da mortalidade, por isso é essencial discutir esse assunto. A DAA é causada pela degeneração da camada média vascular, resultante de pressão elevada, que leva à fraqueza da parede. Nesse sentido, a hipertensão arterial sistêmica (HAS) não tratada contribui para o acúmulo de metaloproteinases e citocinas pró-inflamatórias no endotélio, aumentando a probabilidade do quadro; dessa forma, a melhor maneira de prevenir a dissecção é controlar a pressão arterial. Ademais, a dissecção aórtica é uma emergência clínica caracterizada por dor torácica intensa, lacrimejante, migratória e de início agudo; os sintomas podem variar dependendo da idade, comorbidades e tipo de dissecção. Para detectar e prever o risco da dissecção aórtica, biomarcadores, como proteínas do músculo liso e metaloproteínas da matriz extracelular, são utilizados. Além disso, exames de imagem, como a tomografia computadorizada (TC), a ressonância nuclear magnética (RNM) e o ecocardiograma transesofágico (ETE), são fundamentais para confirmar o diagnóstico e determinar a parte da aorta afetada, a extensão da dilatação e o tratamento adequado para cada paciente. O tratamento é sempre direcionado ao alívio da dor e controle da hipertensão; a DAA do tipo A de Stanford é uma urgência médica com risco de vida que precisa de cirurgia para prevenir morte, ruptura e regurgitação aórtica. Para o tipo B, a terapia medicamentosa é a opção usual, mas as diretrizes europeias sugerem tratamento endovascular da aorta torácica em casos complicados.
Abordagem multimodal para prevenção e manejo clínico e cirúrgico da úlcera péptica
Authors: Abreu e Sá Rafael , Cardoso Aila Fernandes Oliveira , Cerqueira Ana Carolina de Souza , Da Silva Caio Gilaberte Freitas , Rocha Emilly Daiany Oliveira , Pinto Karen Kallás , Rocha Maria Fernanda Scarpa , De Queiroz Matheus Zarpellon Campelo , Ferreira Thaiane Santos , Dos Santos Vitor Cardoso
Published: March 2023

A úlcera péptica (UP) é definida como lesão no trato gastrointestinal, devido ao excesso de acidez ou de infecção por Helicobacter pylori (H. pylori). Quanto à epidemiologia, a UP possui maior prevalência em idosos de 65 anos ou mais e em pessoas com comorbidades que causam um maior consumo de medicações como anti-inflamatórios não esteroides (AINES), aspirina e anticoagulantes. Quanto às manifestações clínicas, a doença apresenta epigastralgia como principal sintoma, mas também pode estar associada à plenitude pós-prandial ou saciedade precoce, náuseas e vômitos, perda ponderal e dor abdominal logo em período pós-prandial, podendo alguns serem assintomáticos. Sua identificação depende de uma anamnese minuciosa, um exame físico bem detalhado e exames complementares. No que tange ao diagnóstico clínico, dor abdominal, melena, taquicardia e sinais de perda sanguínea, são essenciais para identificação da patologia. Para diagnóstico definitivo, lança-se mão da endoscopia digestiva alta, biópsia com exame histopatológico, imuno-histoquímica, teste de urease, ensaio de cultura e reação em cadeia da polimerase (PCR), fornecendo mais detalhes com melhor acurácia para, juntamente com os dados clínicos, obter o diagnóstico. Já a abordagem terapêutica, apresenta-se através do manejo farmacológico e cirúrgico. Na abordagem farmacológica, lança-se mão de inibidor de bomba de prótons (IBP), claritromicina e amoxicilina. A abordagem cirúrgica utiliza a vagotomia troncular, antrectomia e técnicas cirúrgicas como Bilroth I, Bilroth II e Y de Roux para a reconstrução do trânsito intestinal. Em relação a prevenção, medicamentos gastroprotetores podem ajudar a reduzir a carga global da úlcera péptica e suas complicações.
Cuerpos en el espacio escolar en contexto de inclusión (2003-2019). Un acercamiento al campo. Primeras aproximaciones
Authors: Bembo Sandra
Published: March 2023

Este artículo intenta explorar algunas dimensiones que creemos conveniente reseñar para empezar a registrar las memorias de los cuerpos y su transformación en el orden escolar en momentos de masividad del ingreso ¿Cómo estaban organizados los cuerpos a principios del siglo XXI? ¿Se están modificando los habitares, la vestimenta, la ocupación de los espacios? ¿Se están “liberando del orden escolar”, o los vuelven a encorsetar? Reseñaremos cuestiones teóricas y las primeras ideas que surgieron del abordaje al campo para comenzar a describir el andar de los cuerpos en las escuelas en un período que nos interpela y obliga a pensar estrategias que conlleven prácticas de inclusión.
Are Working Mothers the Biggest Losers in the Corona Pandemic? The perceived stress, social support, online learning satisfaction, and coping strategies among working mothers during the COVID-19 pandemic
Authors: Alsalem Gheed M. , Al-Nasa’h Mais , Qashmer Amani , Al-Hwayan Ola , Al-ali Safa
Published: March 2023

Objectives: The primary objective of this cross-sectional study is to investigate perceived stress, perceived social support, satisfaction with online learning, and coping strategies among working mothers in Jordan during the COVID-19 pandemic.

Methods: A total of 204 working mothers participated in an online survey. Four instruments were employed to analyze the study variables. Those instruments were Perceived Stressors Scale (PSS), Multidimensional Scale of Social Support (MSPSS), the Brief Coping Orientation to Problems Experienced (B-COPE) Inventory, and Distance Learning Satisfaction Scale (DLSAT). We used descriptive statistics, Pearson's correlation coefficients, and internal consistency for all variables in analyzing data for all variables.

Results: The results revealed that working mothers reported a high level of perceived stress (M = 44.15, SD = 7.25), a low level of perceived social support (M = 29.78, SD = 9.41), a low level of satisfaction with online learning (M = 17.50, SD = 6.60), and a moderate level of effectively coping with their life circumstances (M = 60.56, SD = 11.07). Furthermore, the mothers’ perceived stressors, perceived social support, and satisfaction with children’s online learning were all significantly associated with the score of coping strategies.

Conclusions: As working mothers are of the most vulnerable groups who was affected during the corona-virus disease (COVID-19) pandemic, the results in this study are significant in providing essential support and resources for them to cope with stress in the future and identify effective coping strategies for their well-being.
Green Supply Chain Management Practices: An Exploratory Study of Indian Food Processing Firms
Authors: Durgaprasad A V S , Prasad Ch V V S N V
Published: March 2023

Purpose - Firms embrace green supply chain management (GSCM) practices to minimize the environmental repercussions of their operations. The food processing industry is one of the largest industries globally, engendering massive waste and emitting greenhouse gases, raising environmental concerns. GSCM has recently gained momentum in developing countries like India due to increasing environmental issues. This exploratory study examines the GSCM practices adopted by Indian food processing firms and investigates their impact on sustainable performance.

Methodology/Technique - This study has employed a case study methodology to fulfill the research objectives. Two food processing firms operating in Goa were selected for this purpose. The case study involved semi-structured interviews with supply chain professionals from both firms.

Findings - Various GSCM practices identified in the literature are observable within the case study. The results highlight the importance of GSCM practices for attaining sustainability. Findings reveal and reinforce that adopting GSCM practices improves the firms' sustainable performance.

Novelty - This article is one of the earliest studies on GSCM in the food processing industry in the Indian context. The research outcomes provide an overview to managers of the food processing firms regarding GSCM practices, their execution, and sustainable performance.

Type of Paper - Empirical

Keywords: Food Processing Industry; Green Supply Chain Management (GSCM); GSCM Practices; Sustainability; Sustainable Performance.

JEL Classification: M10, M11.

Reference to this paper should be made as follows: Durgaprasad, A.V.S; Prasad, C.V.V.S.N.V. (2022). Green Supply Chain Management Practices: An Exploratory Study of Indian Food Processing Firms, J. Mgt. Mkt. Review, 7(4), 185 – 193. https://doi.org/10.35609/jmmr.2022.7.4(1)
Vocational High School Prospective Graduates' Employability via Dual Vocational Certification (DVC)
Authors: Sherly Sherly , Kisno Kisno , Sitanggang Nathanael , Dharma Edy , Marlina Sihombing Humiras Betty
Published: March 2023

Purpose - VHS are educational institutions aiming to prepare ready-to-employ graduates by prioritizing their skills and expertise according to their areas of expertise. This study attempts to reveal the newness strategy for intensifying Vocational High School prospective graduates' employability through Dual Vocational Competency, which covers areas of expertise and supplementary certification (DVC) such as Occupational Safety and Health (OSH) certification.

Methodology/Technique - A non-experimental quantitative research design was implemented in this study using ex post facto. The data collected in this study through Likert-scale questionnaires were competency certification, OSH certification, and prospective graduates' employability.

Findings - The findings showed that each variable denoted that all variables were in the adequate category. It denoted that competency and Occupational Safety and Health (OSH) certification correlated to the employability rate of Vocational High School prospective graduates.

Novelty - This article denotes the new strategy implemented called dual certification, which combines expertise and OSH certification. This certification model is held during the study period of the prospective graduates, and each variable denotes that all variables are in a good category.

Type of Paper - Empirical

Keywords: Dual certification; vocational high school; employability

JEL Classification: I20; I25

Reference to this paper should be made as follows: Sherly, S; Kisno, K; Sitanggang, N; Dharma, E; Sihombing, H.B.M. (2022). Vocational High School Prospective Graduates' Employability via Dual Vocational Certification (DVC), J. Mgt. Mkt. Review, 7(4), 194 – 202. https://doi.org/10.35609/jmmr.2022.7.4(2)
Building a Resilient and Sustainable Workplace: A Post-Pandemic Hazard Control and Preparedness Plan in Malaysia
Authors: Hassam Siti Fairuza , Esa Mashitah Mohamed , Akbar Jamaludin , Hassan Nur Diana
Published: March 2023

Objective - This study intends to identify the post-COVID-19 safe working practices that have been established and to investigate how the workplace's culture of safety practices has evolved due to the pandemic.
Methodology/Technique - The study used a conceptual development framework that used two data sources: journal publications (secondary data) and field interviews (primary data). The secondary data analysis of the literature review revealed seven post-pandemic workplace practices that are being employed in this study. These practices include workplace hazard control factors and preparedness plan factors.
Findings – Based on the interviews with the 22 companies (safety personnel and practitioners) in the various industries, it was discovered that only three aspects of post-pandemic workplace safety culture were totally actual practices and adopted by all the companies, namely: following guidance from the federal state and Ministry of Health (MOH), monitor hazard control and safe work, and introduce new methods of work. On the other hand, the remaining four elements are seen as not being as crucial to several major industrial sectors.
Novelty - It is seen to have a positive significance if viewed comprehensively. Disclosing the results of a study can provide a benchmark for other companies to compare their own practices and performance against. Additionally, it is necessary to conduct more comprehensive research, particularly regarding the employees' perspectives and their involvement in implementing and improving workplace safety practices. The current study only considered the employer’s viewpoint, as the safety personnel represents their interests.

Type of Paper: Empirical
JEL Classification: J24, J28, J81 & Q50
Keywords: Post-Pandemic COVID-19; Workplace Safety Culture; Hazard Control; Preparedness Plan; Standards of Procedures (SOP); Resilient Workplace; Sustainable Workplace
Reference to this paper should be made as follows: Hassam, S.F; Esa, M.M; Akbar, J; Hassan, N.D. (2023). Building a Resilient and Sustainable Workplace: A Post-Pandemic Hazard Control and Preparedness Plan in Malaysia, J. Mgt. Mkt. Review, 8(1), 09 – 16. https://doi.org/10.35609/jmmr.2023.8.1(2)
Estudo sobre Rogério Duprat demonstra quão profunda pode ser uma análise sociomusical
Authors: Barbeitas Flávio Terrigno
Published: March 2023

Resenha do livro Rogério Duprat, arranjos de canção e a sonoplastia tropicalista, de Jonas Soares Lana (Rio de Janeiro: 7Letras,  2022. 284p. ISBN: 978-65-5905-352-0).
Adoquines: entre ecología, economía y oportunidades de emprendimiento
Authors: Aldana Rodriguez Yeison Alejandro
Published: March 2023

La necesidad de incorporar residuos plásticos con el fin de mitigar la gran cantidad de contaminación por plásticos que hay en el mundo hoy en día, hizo que aparecieran nuevas alternativas de desarrollo en la industria de la construcción, más específicamente en la construcción de adoquines, que mezclados con residuos plásticos en una proporción de 75/25 respectivamente, mejoren las características de resistencia y absorción de agua, respecto a los adoquines comerciales convencionales.
Sprawozdanie z konferencji naukowej Oblicza postpamięci 5 – konflikty czy negocjacje? / Faces of Postmemory 5 – Conflict or Negotiations
Authors: Plichta Paweł
Published: March 2023

Sprawozdanie z interdyscyplinarnej konferencji naukowej pt. „Oblicza postpamięci 5 – konflikt czy negocjacje?”, która odbyła się w dniach 25-26 pażdziernika 2022 roku w Krakowie. Wydarzenie zostało zorganizowane przez Instytut Studiów Międzykulturowych Uniwersytetu Jagiellońskiego oraz Instytut Lingwistyki Stosowanej Uniwersytetu Warszawskiego pod patronatem Sekcji Badań nad Dziedzictwem i Pamięcią Kulturową Polskiego Towarzystwa Ludoznawczego.
On a spring full moon, observations on the date of death of Arsinoe II Philadelphus
Authors: Magnelli Adalberto , Senesi Giulia
Published: March 2023

La possibile rilettura, con conseguente nuova interpretazione, di uno scholium alla ἐκθέωϲιϲ di Arsinoe di Callimaco (Fr. 228 Pfeiffer ad l.7) potrebbe consentire di formulare una nuova ipotesi sulla dibattuta data di morte della regina Arsinoe II Filadelfo, forse avvenuta durante il plenilunio fra 16 e 17 giugno del 268 a.C.

Thanks to a re-interpretation of a scholium to the ἐκθέωϲιϲ of Arsinoes by Callimachus (Fr. 228 Pfeiffer ad l.7) it could be possible to put forward a new hypothesis on the date of death of Queen Arsinoe II Philadelphus, which may have occurred during the full moon between the 16th and 17th June 268 BC.
Application Of The Promotional Mix Strategy To Attract Travelers During The Covid-19 Pandemic
Authors: Afif Fuadi , Adellia Yuke Larasati  , Hari Rachmadi
Published: March 2023

Located in the city of Yogyakarta, Muki Travel is a travel agency business that is growing. As it develops, Muki Travel offers tourism services like selling vacation packages and meeting lodging needs. Specifically, during the COVID-19 pandemic, Muki Travel must take new steps or use the most current strategies to draw tourists during the pandemic. This study aims to determine how the promotion mix is implemented. Both field research and library research are methods used to obtain data. According to a survey conducted at Muki Travel, which used five different techniques of the promotion mix strategy, two of them—advertising and sales promotion methods—are more prevalent than the other five.
NOISE REDUCTION ON AIR DISTRIBUTION GRILLES USING 3D PRINTED INFILL STRUCTURES
Authors: Svoboda David , Berková Petra , Vlach František , Bečkovský David , Gabzdyl Milan , Deutsch Martin
Published: March 2023

The aim of this research is to reduce the noise level of air distribution grilles using 3D
printed infill structures. The grilles are installed on a newly developed autonomous ventilation system, which is used for decentralised ventilation of e.g., school classrooms. Several supply and return grilles with functional gyroid and honeycomb shaped infill structures were created and subsequently printed on an FDM 3D printer. Based on measurements and analysis of the maximum sound pressure levels at different microphone positions around the system and at different airflows, the combination of grilles with the greatest noise reduction was selected. The research is complemented by other data such as spectral analysis of the noise, measurement of the airflow velocity through the grilles and measurement of the room reverberation time. Significant noise reduction was achieved by using the proposed grilles and further conclusions were drawn. 3D printing technology proved to be a very useful tool in this case.
DIFFRACTION OF A SPHERICAL WAVE BY A HARD HALF-PLANE: POLYNOMIAL FORMULATION OF EDGE-DIFFRACTED FIELD IN THE FREQUENCY DOMAIN
Authors: Ouis Djamel
Published: March 2023

The problem of diffraction of a spherical sound wave by a thin hard half-plane is considered. The expression of the total field at any position in the space around the half-plane is composed of two geometrical components and a third one which originating from the edge of the half-plane. This paper takes the expression of the edge-diffracted field due to a sound doublet, as formulated in the Biot-Tolstoy theory of diffraction, BTD, but rearranged for the Dirac-like pulse by Medwin. The present paper presents a development in the frequency domain of the Fourier transform of the exact expression of the edge-diffracted field as given in the time domain. This solution is composed of a serial development, expressed in simple trigonometric integral functions, and which away from the geometrical optics boundaries shows a quite rapid convergence to the numerical Fourier transform of the exact time-domain expression. The presented solution may be used as a good approximation in simulations and in real case predictions of sound scattering by thin straight-edged noise barriers.