bluuebunny/crossref_metadata_2025 huggingface dataset:
3D Tissue Constructs from the Ground Up for Game Changing New Applications in Tissue Engineering and Regenerative Medicine
Authors:   Intertek Pharmaceutical Services Manchester, Manchester, ENG, UK, Tripathi Pallavi , O. Abarikwu Sunny ,   Department of Biochemistry, University of Port Harcourt Choba, Nigeria
Published: July 2023

In view of the very expensive modern healthcare system, sudden loss or failure of organs and tissues could pose a very difficult and costly medical problem to patients. Further, the limited supply of organs globally that a patient can afford for replacement in the event of an organ failure makes the problem even more challenging and complicated. These medical and healthcare challenges have triggered research and developments into tissue engineering to advance the field of regenerative medicine. Especially, the research focus has been on the design, development and optimization of a cell-scaffold-microenvironment to promote the regeneration of various types of tissue including skin, cartilage, bone, tendon and cardiac tissue, to name a few. Studies have been undertaken to produce functional three-dimensional (3D) tissue substitutes or constructs that are based on bio scaffolds from the ground up. To this end, bioprinting strategies have been considered for fabrication of complex 3D functional living tissues or artificial organs. Here, we describe some notable advances in laser bioprinting enabled tissue engineering, which is a rapidly emerging field in 3D bio fabrication technology for applications in regenerative medicine.
Nivel de Conocimiento de las Medidas de Bioseguridad Frente a Covid-19, En Profesionales de Enfermería del Hospital Dr. Ezequiel Abadía Hospital - Soná. Panamá 2021
Authors: Fernández Rodríguez Lilia , Preciado Reyna Preciado , Athanasiades Iris Athanasiades , Santos Valdés Ana Elizabeth
Published: July 2023

Estudio con enfoque cuantitativo, de alcance descriptivo-correlacional, prospectivo, de corte transversal, sin manipulación de las variables, recolectando información en un tiempo único presente. Con la intención de determinar el nivel de conocimiento de las medidas de bioseguridad frente a Covid-19, en profesionales de enfermería, del Hospital Dr. Ezequiel Abadía, Soná,  2021. Participaron 31 profesionales de enfermería. Para la recolección de datos se utilizó una encuesta elaborada por la OMS, adaptada y validada por Merino Chira (2020). Con la información recolectada, se elaboró una base de datos y las respuestas se tabularon a través del programa SPSS versión 20.0. Los resultados sugieren que los profesionales de enfermería en un 90.3%, mantienen formación básica de licenciados, un rango regular de conocimiento de las medidas de bioseguridad 48.3% y solo el 32.5% ha recibido capacitación sobre medidas a seguir en caso de atender pacientes covid-19. Se concluye que los profesionales de enfermería en su mayoría, cuentan con el nivel básico de formación (licenciados), se evidencia como a más de un año de haber iniciado la pandemia el conocimiento de las medidas de bioseguridad es regular, es decir más de la mitad de la población estudiada desconocen las mismas, lo cual, hace necesario la implementación de un programa de capacitación permanente, programado trimestral o semestral que aumente el nivel de conocimiento que se tiene actualmente.
El rol estratégico de la Universidad en la transferencia de conocimiento: Desafíos del Sistema Nacional de Ciencia, Tecnología e Innovación en Paraguay
Authors: Paredes María Gloria
Published: July 2023

El rol estratégico de la Universidad en la transferencia de conocimiento: Desafíos del Sistema Nacional de Ciencia, Tecnología e Innovación en Paraguay
Finger Vein Recognition with Hybrid Deep Learning Approach
Authors: Abbas Thekra
Published: July 2023

Finger vein biometrics is an identification technique based on the vein patterns in fingers, and it has the benefit of being difficult to counterfeit. Due to its high level of security, durability, and performance history, finger vein recognition captures our attention as one of the most significant authentication methods available today. Using a mixed deep learning approach, we investigate the challenge of identifying the finger vein sensor model. Thus far, we use Traditional LSTM architectures for this biometric modality. This work also suggests a brand-new hybrid architecture that shines due to its compactness and a merging with the LSMT layer to be taught. In the experiment, original samples as well as the region of interest data from eight freely available FV-USM datasets are employed. The standard LSTM-based strategy is preferable and produced better outcomes, as seen by the comparison with the earlier approaches. Moreover, the results show that the hybrid CNN and LSTM networks may be used to improve vein detection performance.
Improvement of Power Quality in Smart Grid Connected PV System Using Multilevel Inverter
Authors: Ch. Santosh Kumar  , S. Tara Kalyani
Published: July 2023

This research proposed a cascaded multi-level inverter (CMLI) technique using Harris Hawk’s Optimisation (HHO) for grid-connected P.V. systems. The photovoltaic (P.V.) system is connected to CMLI-isolated DC connections based on the relevant D.C. to D.C. converters. The main goal of the suggested approach is to control power or boost solar system energy conversion while maintaining power quality. CMLI is integrated into fewer switches, diodes, and sources to produce the best control signal with the suggested controller. To provide the best control signal data set for the CMLI, the gain parameter under the source's current normal value is assessed using the HHO. The proposed control theory and keeping the power factor constant control the active power fed to the grid. The suggested approach of integrating solar electricity into the grid using DC-DC converters and an asymmetric multi-level inverter structure is supported by the reduction in THD and active power to the grid. The suggested model is developed using the MATLAB/SIMULINK programme, and the experimental setup is used to validate the results. On the grid side, lower THD was attained, which complies with IEEE standards. .
Urban Phytoarchitecture Design Options: Greenspace Orientation and Tree Species Intensification
Authors: Tarranita Kusumadewi  , Maryunani  , Surjono  , Yunifa Miftahul Arif  , Harida Samudro  , Ganjar Samudro  , Sarwoko Mangkoedihardjo
Published: July 2023

This paper discussed a new perspective on the path of sunlight as a basis for urban phytoarchitecture design, which empowers the ability of plants to absorb carbon dioxide and simultaneously lowers the surface temperature. The aim was to provide options for intensifying greenspace orientation and plant types as one of the goals of a sustainable city. This research analysed previous research sources collected from the reference management platform. The literature selection uses the keywords greenspace, orientation, carbon dioxide, and surface warming, all of which are the latest publications. The result for the first option was the orientation of the greenspace following the path of sunlight. For urban infrastructure in a North-South direction, it was advisable to intensify greenspace by planting trees that absorb large amounts of carbon dioxide. In addition, it was recommended to apply biodiversity to enhance the absorption of the gas. For East-West oriented infrastructure sites, intensifying greenspace with sunshade trees was the right choice, and biodiversity was not a limiting factor because it does not support leaf area growth. While the first option cannot be followed due to existing field conditions, the second option is intensifying tree species with biodiversity, which can absorb carbon dioxide and reduce surface warming.
Design of Angklung Music Scoring System Based on Remote Training
Authors: Bella Hardiyana  , Shinobu Hasegawa
Published: July 2023

Angklung is a traditional musical instrument from West Java, Indonesia. To play a song using this instrument can only be played in groups. The size of the musical instrument is quite large and prone to damage if carried anywhere, making it challenging to practice except in schools or music clubs. Since the pandemic, it has become increasingly difficult for students to practice angklung due to the limitations of face-to-face learning. This study aims to make it easier for students to practice and play angklung. The system is based on online multiplayer games so that students can learn and play angklung with more fun, and players can play anywhere. Players can use the mobile version of the angklung application as a substitute for the angklung instrument. Players can perform a duet with other players in playing the same song. The results of the player's performance will be displayed as scores and stored in the database. Besides that, a real-time feedback function is always displayed for each note played. To distinguish individual players and/or notes, we use vibration sensor technology installed in each mobile application or signal processing, and the system will recognise them properly. We propose a Short-time Fourier Transform (STFT) algorithm as a scoring system and realtime-feedback performance. We use class diagrams to describe the whole application system and describe the functionality of the system in detail. We collect some research related to angklung and technology. Currently, there is a little study that could answer all the problems of learning and training angklung. The results of this study in the form of a system design are the initial research stage and are used for the following research phase. In conclusion, the design of this study can solve the existing problems so that the system will make it easier for students to practice and play angklung.
Fabrication of ZnO Nanostructures Doped with Nb at Different Concentration as a Argon Sensor
Authors: Mohd Husairi Fadzilah Suhaimi  , Nur Arfah Natasyah Ambo  , Akmal Lutfi  , Izzah Nur Zulaikha Masjhur Masjhur  , Kevin Alvin Eswar  , Jalal Rouhi  , Muhammad Rusop Mahmood
Published: July 2023

This works presents the report on the study of ZnO nanoparticles doped on silicon substrate. ZnO nanoparticles doped was prepared by using thermal immersion method with varies percentage ratio mass of dopant, Niobium. ZnO nanoparticles was characterized for their morphology by using field emission scanning electron microscopy (FESEM), crystalline graphic of material by x-ray diffraction (XRD) and electrical properties by IV measurement. The FESEM results showed that the randomly rougher distribution of ZnO nanoparticles doped with Nb covering on Si surface. XRD results reveals that ZnO nanoparticles doped with Nb was successfully growth on the silicon substrate. IV measurement was measured by 2-point probes. The measurement of the IV was done before and after sample exposed into argon gas. The argon gas was exposed for 10 minutes to indicate the sensitivity of the sample. The result shows that the sample that doped with 10wt% of niobium was the best sample to indicate the performance of the sensor compare to the other sample as observed in the 88.40% response when exposed to Argon gas.
Real Time Snatch Theft Detection using Deep Learning Networks
Authors: Nurul Farhana Mohamad Zamri  , Nooritawati Md Tahir  , Megat Syahirul Megat Ali  , Nur Dalila Khirul Ashar  , Ali Abd Almisreb
Published: July 2023

Snatch theft is a common crime in urban areas that poses a serious threat to public safety. It involves forcefully grabbing a victim's personal belongings, such as purses or mobile phones, before quickly fleeing the scene. Detecting snatch theft incidents in real-time is a challenging task due to the speed at which they occur. The current methods used to detect snatch theft incidents rely heavily on human intervention, which can lead to significant delays and potential errors. Therefore, there is a need for an automated technique that can accurately and efficiently detect these incidents in real-time. Hence, the study aims to detect snatch theft using a transfer learning approach based on eight pre-trained convolutional neural networks (CNNs) as classifiers: AlexNet, VGG16, VGG19, GoogleNet, InceptionV3, ResNet-18, ResNet-50, and ResNet-101. The modified pre-trained CNN models are evaluated in both offline and real-time modes. Based on the offline mode, VGG19 achieved 100% training accuracy, and ResNet50 had the highest testing accuracy of 98.9%. In the offline mode, all models accurately classified normal scenes, with ResNet-10 having the lowest false negative rate and ResNet-50 achieving the lowest false positive rate with only 44 misclassified anomaly frames related to snatch theft. The study further evaluated and validated the eight models in real-time mode, and the results showed that AlexNet and ResNet-18 were the only models capable of categorizing snatch theft scenarios with promising findings.
Analysis of infections, recoveries and deaths from COVID-19 in rivers state, Nigeria
Authors: ADEDIRE Oludare , JONH Walter C. , OLA OOLADEJO Afolabi , ONUWA Godfrey , JEPTHAH MBAH Jacob
Published: July 2023

Introduction: While some patients recovered, others died across the world thereby losing their loved ones. The objective of the current study is to determine statistical difference in means of COVID-19 infected population (laboratory confirmed), discharged cases(recovered) and deaths resulting from COVID-19 pandemic in Rivers State, Nigeria.

Material and Methods: In this study, extraction of infected population (laboratory confirmed), discharged cases and deaths from COVID-19 was carried out from data obtained from Nigeria Centre for Disease Control which covered a period of 572 days (25th March 2020 - 17th  October  2021). The test for significance of means among the variables was done using one-way Analysis of Variance (ANOVA) followed by Tukey HSD test. The two variables whose means do not significantly differ were tested for strength of relationship and dependence using correlation analysis and cubic polynomial function respectively.

Results: Results showed  that there is statistically significant difference between infected population, discharged cases and deaths from COVID-19 as obtained from one-way ANOVA (F(2, 1710) = 121.958, p = 0.000). Use of Tukey HSD test indicated that means of infected population and discharged cases do not differ from each other (p>0.01); however, mean deaths from COVID-19 significantly differ from others at 99%  confidence intervals (p<0.01). There was weak positive relationship between deaths due to COVID-19 and  other  two groups (r=0.360, n=571, p=0.000).  However, moderate positive correlation existed between COVID-19 infected population and discharged population (r=0. 566, n=571, p=0.000) at  99% confidence interval.

Conclusions: Mean of deaths from the study population was significantly different from means from both infected population and discharged (recovered) cases. This implies that only few people died from COVID-19  in Rivers State Nigeria when compared to  those who got infected and recovered from COVID-19 pandemic.
Recomendaciones para el mes de Diciembre
Authors:   Centro Nacional de Investigaciones de Café
Published: July 2023

Los valores negativos de la temperatura superficial del mar y el fortalecimiento de los vientos del Este en el Pacífico Tropical, indican el desarrollo de condiciones La Niña, las cuales se espera que continúen con probabilidades por encima del 90%, hasta el trimestre abril de 2022. Para diciembre de 2021 se estiman precipitaciones entre 20% y 30% por encima de los promedios históricos en el Occidente de Antioquia, Norte de Tolima, Quindío, Sur de Huila y Oriente de Nariño. En el Sureste de Antioquia, Casanare y Meta, el modelo estima incrementos superiores al 40%. Para el resto de la región se predicen precipitaciones propias del mes.
Recomendaciones para el mes de Octubre
Authors:   Centro Nacional de Investigaciones de Café
Published: July 2023

Para octubre de 2022 se esperan lluvias entre 20% y 40% por encima de los registros históricos en sectores de la región cafetera de La Guajira, Magdalena, Cesar, Bolívar, Santander, Cundinamarca, Caldas, Tolima, Risaralda, Valle del Cauca, Huila, Cauca y Nariño. En algunos sectores del departamento del Caquetá se esperan reducciones del 20% en las lluvias, con respecto al histórico.
Recomendaciones para el cultivo Diciembre
Authors:   Centro Nacional de Investigaciones de Café
Published: July 2023

Para diciembre de 2022 se prevén lluvias entre 20% y 30% por encima de los promedios históricos, principalmente en las regiones Norte y Oriente, y algunos sectores de los departamentos de Antioquia, Caldas, Tolima y Norte del Huila. Hasta el trimestre enero - marzo de 2023 se estima que continúen las condiciones de La Niña, con probabilidades por encima del 60%.
‘Like Skulls at Memphian Banquets’: The Mouth and Mortality in Byron’s
Don Juan
Authors: Azariah-Kribbs Colin
Published: July 2023

This article examines the relationship between appetite, mortality, and laughter in Lord Byron’s
Don Juan
. While the vegetarian Percy Bysshe Shelley argued that human appetites could be directed away from cruelty and death, Byron presents appetite as both naturally carnivorous and inextricably linked to mortality. Furthermore, by examining the role of laughter in
Don Juan
’s Canto II and Canto IX, I argue that the Byronic laugh is also mimetic of Death’s triumphant appetite: a response to the inescapable link between human appetite and Death as well as an imitation of Death’s role as the laughing archdevourer of life. However, in the latter part of my article, I argue that in the last canto of
Don Juan
, Byron tentatively theorizes a metaphysical appetite that may exist beyond Death and laughter. In so doing, Byron posits a utopian vision of appetite – a vision that, interrupted by the poet’s own death, remains unresolved.
Revealing the Gas Recycling in the Circumgalactic Medium (CGM) Utilizing a Luminous Lya Nebula around a Type II Quasar at z = 2.6 with the Keck Cosmic Web Imager (KCWI)
Authors: Zhang Shiwu , Cai Zheng , Xu Dandan , Afruni Andrea , Wu Yunjing , Wang Wuji , Battaia Fabrizio Arrigoni , Li Mingyu , Wang Sen , Bi Xianzhi
Published: July 2023

How galaxies acquire material from the circumgalactic medium is a key question in galaxy evolution. Recent observations and simulations show that gas recycling could be an important avenue for star formation. This paper presents Keck Cosmic Web Imager integral field unit spectroscopic observations on a type II quasar, Q1517 + 0055 at z = 2.65, a pilot study of our Lyα nebulae sample at z ≈ 2. We revealed diffuse emission of the Lyα 1216, He ii 1640, and C iv 1549 on the projected physical scale of 122, 45, and 79 kpc, respectively. The total Lyα luminosity is L
Lyα
= 3.04 ± 0.02 × 1044 erg s−1. The line ratio diagnostics shows that He II/Lyα ≈ 0.08, and C IV/Lyα ≈ 0.28, consistent with the photoionization including recombination and photon pumping. We also identify the associated H i and C iv absorption from the spectra. By fitting the spectra, we derive both the column density and the velocity. We find that the velocity profile from both the absorption and the He ii emission exhibit increasing trends. Moreover, both the line ratio diagnostic from the emission and the column density ratio from the absorption confirm that the cool gas metallicity is ≥Z
⊙. From detailed modeling and estimation, gas recycling might be a more plausible interpretation compared with the scenario of a powerful outflow.
Hybrid Data-driven Magnetofrictional and Magnetohydrodynamic Simulations of an Eruptive Solar Active Region
Authors: Afanasyev Andrey N. , Fan Yuhong , Kazachenko Maria D. , Cheung Mark C. M.
Published: July 2023

We present the first results of the hybrid data-driven magnetofrictional (MF) and data-constrained magnetohydrodynamic (MHD) simulations of solar active region NOAA 11158, which produced an X-class flare and coronal mass ejection on 2011 February 15. First, we apply the MF approach to build the coronal magnetic configuration corresponding to the SDO/HMI photospheric magnetograms by using the JSOC PDFI_SS electric field inversions at the bottom boundary of the simulation domain. We then use the preeruptive MF state at about 1.5 hr before the observed X-class flare as the initial state for the MHD simulation, assuming a stratified polytropic solar corona. The MHD run shows that the initial magnetic configuration containing twisted magnetic fluxes and a three-dimensional (3D) magnetic null point is out of equilibrium. We find the eruption of a complex magnetic structure consisting of two magnetic flux ropes, as well as the development of flare ribbons, with their morphology being in good agreement with observations. We conclude that the combination of the data-driven MF and data-constrained MHD simulations is a useful practical tool for understanding the 3D magnetic structures of real solar ARs that are unobservable otherwise.
X-Ray and Near-Infrared Observations of the Middle-aged Pulsar B1055–52, Its Multiwavelength Spectrum, and Proper Motion*
Authors: Posselt B. , Pavlov G. G. , Kargaltsev O. , Hare J.
Published: July 2023

Previous observations of the middle-aged γ-ray, X-ray, and radio pulsar B1055–52 indicated some peculiarities, such as a suspected changing of the X-ray flux and spectral parameters, a large excess of the alleged thermal component of the UV spectrum over the Rayleigh–Jeans extension of the X-ray thermal spectrum, and a possible double break in the nonthermal spectral component between the optical and X-ray bands. We observed PSR B1055–52 with the XMM-Newton observatory in X-rays and the Hubble Space Telescope in near-infrared (NIR). The analysis of the XMM-Newton observations does not support the notion of long-term changes in the X-ray flux and broadband X-ray spectrum of the pulsar. Using an observing mode less affected by background noise than the previous XMM-Newton observations, we constrain the power-law (PL) spectral index as

α

X

=
−

0.57

−
0.25

+
0.26

(F

ν
∝ ν

α
) in the energy band 3–10 keV. From the NIR–optical data we obtain a PL slope α

O
= −0.24 ± 0.10 for the color index E(B − V) = 0.03 mag. The slopes and fluxes of the NIR–optical and X-ray nonthermal spectra suggest that the NIR through X-ray emission can be described by the same PL and is generated by the same mechanism, unlike the pulsar’s γ-ray emission. The excess of the UV thermal component over the extension of the X-ray thermal component became smaller but did not disappear, indicating a nonuniformity of the bulk surface temperature. The NIR data also enable us to measure the proper motion accurately, with values μ

α
= 47.5 ± 0.7 mas yr−1 and μ

δ
= −8.7 ± 0.7 mas yr−1.
Breakdown of the Newton–Einstein Standard Gravity at Low Acceleration in Internal Dynamics of Wide Binary Stars
Authors: Chae Kyu-Hyun
Published: July 2023

A gravitational anomaly is found at weak gravitational acceleration g
N ≲ 10−9 m s−2 from analyses of the dynamics of wide binary stars selected from the Gaia DR3 database that have accurate distances, proper motions, and reliably inferred stellar masses. Implicit high-order multiplicities are required and the multiplicity fraction is calibrated so that binary internal motions agree statistically with Newtonian dynamics at a high enough acceleration of ≈10−8 m s−2. The observed sky-projected motions and separation are deprojected to the 3D relative velocity v and separation r through a Monte Carlo method, and a statistical relation between the Newtonian acceleration g
N ≡ GM/r
2 (where M is the total mass of the binary system) and a kinematic acceleration g ≡ v
2/r is compared with the corresponding relation predicted by Newtonian dynamics. The empirical acceleration relation at ≲10−9 m s−2 systematically deviates from the Newtonian expectation. A gravitational anomaly parameter δ
obs−newt between the observed acceleration at g
N and the Newtonian prediction is measured to be: δ
obs−newt = 0.034 ± 0.007 and 0.109 ± 0.013 at g
N ≈ 10−8.91 and 10−10.15 m s−2, from the main sample of 26,615 wide binaries within 200 pc. These two deviations in the same direction represent a 10σ significance. The deviation represents a direct evidence for the breakdown of standard gravity at weak acceleration. At g
N = 10−10.15 m s−2, the observed to Newton-predicted acceleration ratio is

g

obs

/

g

pred

=

10

2

δ

obs
−
newt

=
1.43
±
0.06

. This systematic deviation agrees with the boost factor that the AQUAL theory predicts for kinematic accelerations in circular orbits under the Galactic external field.
Nailfold capillaroscopy findings of interstitial pneumonia with autoimmune features
Authors: Lee Sang-Heon , Min Hong Ki , Kim Se-Hee , Kim Young Whan , Yoo Kwang Ha , Kim Hee Joung , Kim In Ae , Kim Hae-Rim
Published: July 2023

Background/Aims: We evaluated nailfold capillaroscopy (NFC) of interstitial pneumonia with autoimmune features (IPAF) and compared it with that of patients with connective tissue disease-interstitial lung disease (CTD-ILD) and idiopathic interstitial pneumonia (IIP).Methods: Patients with newly diagnosed as ILD were evaluated using NFC. Baseline demographic, clinical, serological, and high-resolution CT findings were collected. NFC was semi-quantitatively scored with six domains ranging from 0 to 18. In addition, the overall patterns (scleroderma/non-scleroderma patterns) were determined.Results: A total of 81 patients (31 with CTD-ILD, 18 with IPAF, and 32 with IIP) were included. The non-specific interstitial pneumonia pattern was the most common ILD pattern in the CTD-ILD and IPAF groups, whereas the usual interstitial pneumonia pattern was the most common in the IIP group. The semi-quantitative score of the CTD-ILD group was higher than that of the IPAF or IIP groups (5.8 vs 4.2 vs 3.0, p < 0.001, respectively). Giant capillaries and haemorrhages were more frequently present in the CTD-ILD and IPAF groups than in the IIP group. A scleroderma pattern was present in 27.8% of the IPAF group, whereas none of the IIP patients showed a scleroderma pattern.Conclusions: NFC findings may be useful in classifying patients with ILD into CTD-ILD/IPAF/IIP.
Teacher decision making tool: Development of a prototype to facilitate teacher decision making in the classroom
Authors: Unciti Oihane , Palau Ramon
Published: July 2023

Teaching is a complex activity that requires a combination of different knowledges, attitudes, skills and values. Teachers are continuously making decisions in the classroom to promote the teaching-learning process. This paper presents the development of a prototype that aims to facilitate teachers’ decision making in the classroom in real time, considering variables related to the students, the teacher, and the environment or environmental factors in the classroom.We used the DBR (Design Based Research) methodology for this project. We reached the first iteration when the second version of the prototype was presented. An analysis of the literature was carried out as a starting point and to establish the foundations for the first version of the prototype. A later expert judgment allowed the prototype to evolve to the second version. This is the starting point for the technological development of the designed solution.This research is a first step towards using technology to improve teacher decision making in the classroom, and has great potential benefits for both the teacher, for improving their skills, and the student, so they can have a better and more customized learning experience.
MEMINV: A hybrid efficient approximation method solving the multi skill-resource constrained project scheduling problem
Authors: Quoc Huu Dang
Published: July 2023

The Multi-Skill Resource-Constrained Project Scheduling Problem (MS-RCPSP) is an NP-Hard problem that involves scheduling activities while accounting for resource and technical constraints. This paper aims to present a novel hybrid algorithm called MEMINV, which combines the Memetic algorithm with the Inverse method to tackle the MS-RCPSP problem. The proposed algorithm utilizes the inverse method to identify local extremes and then relocates the population to explore new solution spaces for further evolution. The MEMINV algorithm is evaluated on the iMOPSE benchmark dataset, and the results demonstrate that it outperforms. The solution of the MS-RCPSP problem using the MEMINV algorithm is a schedule that can be used for intelligent production planning in various industrial production fields instead of manual planning.
Automatic recognition of giant panda vocalizations using wide spectrum features and deep neural network
Authors: Liao Zhiwu , Hu Shaoxiang , Hou Rong , Liu Meiling , Xu Ping , Zhang Zhihe , Chen Peng
Published: July 2023

The goal of this study is to present an automatic vocalization recognition system of giant pandas (GPs). Over 12800 vocal samples of GPs were recorded at Chengdu Research Base of Giant Panda Breeding (CRBGPB) and labeled by CRBGPB animal husbandry staff. These vocal samples were divided into 16 categories, each with 800 samples. A novel deep neural network (DNN) named 3Fbank-GRU was proposed to automatically give labels to GP's vocalizations. Unlike existing human vocalization recognition frameworks based on Mel filter bank (Fbank) which used low-frequency features of voice only, we extracted the high, medium and low frequency features by Fbank and two self-deduced filter banks, named Medium Mel Filter bank (MFbank) and Reversed Mel Filter bank (RFbank). The three frequency features were sent into the 3Fbank-GRU to train and test. By training models using datasets labeled by CRBGPB animal husbandry staff and subsequent testing of trained models on recognizing tasks, the proposed method achieved recognition accuracy over 95%, which means that the automatic system can be used to accurately label large data sets of GP vocalizations collected by camera traps or other recording methods.
DESIGN OF PATIENT SPECIFIC HIP PROSTHESIS BASED ON FINITE ELEMENT ANALYSIS: A COMPARATIVE STUDY
Authors: Snekhalatha U. , Dhason Raja , Rajalakshmi T.
Published: July 2023

This study aims to develop a patient-specific hip implant for osteoarthritis conditions and to compare with intact and conventional implant. The femoral bone with head and shaft region was segmented from the pelvic griddle and converted into 3D model. The parameters such as femoral ball diameter, shaft length, acetabular cup diameter, and neck angle were measured from the segmented 3D model. In this study, designed part of hip implant was assembled together to form a customized hip implant. The von Mises stress was measured by means of Finite element analysis (FEA) method by applying various forces applied at the distal end of hip implant. The forces applied at hip implant were based on the assumption of 500 N force for standing, 2000 N force for walking, and 3000 N force for jogging condition. The minimum stress attained at the femur bone of custom-model is 1.32 MPa for 500 N loading condition, 5.3 MPa for 2000 N and 7.96 MPa for the maximum load of 3000 N. Thus the customized model experienced better stress distribution compared to conventional model under the maximum load of 3000 N. In pelvic region, the custom model attained a lower stress of 23% compared to conventional model. Thus, the study recommends the customized hip implants for the osteoarthritis conditions to avoid revision surgery.
Lessons Learned From Preservice Teachers of Deaf and Hard of Hearing Students During a Pandemic
Authors: Courson Frances M. , Alford Andrea D. , Bencak Jamie M. , Edwards Sandra G.
Published: July 2023

The COVID-19 pandemic caused some educators of preservice teachers of deaf and hard of hearing (DHH) students who had been using a face-to-face instructional delivery platform to abruptly change their methods of teaching. This affected preservice teachers who had been thriving in professional preparation and learning through traditional pedagogy. This study discusses the revision of programming to improve preservice teacher practices in an online format, and examines participation in prescribed activities in the following areas related to DHH education preparation: 1) American Sign Language acquisition 2) vocabulary development 3) QR code development 4) closed-caption development, 5) children's literature applications. Participants explored instructional strategies and activities designed to aid in their learning and professional preparation, and rated the effectiveness of activities in reference to their professional growth. Data showed the need for personal mentoring, even in a virtual environment in order for continuity of professional learning to be most effective.
Teaching a Teenager to Read
Authors: Greene Ashley N. , Buchanan Beverly J.
Published: July 2023

Imagine yourself as a deaf education teacher at the high school level. One day, a new student arrives from another country in your classroom who can only express themselves with two words, “no” and “wrong” in sign language. The student's only attempts at communication include nonsensical vocal utterances. His family reports that they are not able to understand his basic needs or wants due to his inability to clearly communicate. The student has been tested for additional disabilities and shows no delays in non-verbal intelligence but has been identified as a student with severe language delays. How do you proceed with instruction? A basic background knowledge of deaf children, children in other countries, and deaf children in Vietnam is needed to determine the most effective strategy to teach language and reading skills to this type of student.
Exploring the Challenges of Virtual Teaching and Learning From a Developing African Country Context
Authors: Ocloo Elikem Chosniel , Asigbe-Tsriku Gretel Rejoice , Tsagli Sebrina Kafui , Coffie Isaac Sewornu
Published: July 2023

There is limited knowledge about the challenges of the virtual learning program, particularly from students' perspectives. The purpose of the study is to explore the challenges of virtual teaching and learning from students' perspectives. From the Decomposed Theory of Planned Behaviour's (DTPB) perspective, qualitative data from 40 private and public university students through eight focus group discussions were collected and analysed thematically. The result identified distraction, lack of socialization, lack of technical know-how and technical challenges such as unsupportive devices, and poor internet connectivity as major challenges to virtual teaching and learning. Reducing these challenges would significantly improve the effectiveness of the virtual teaching and learning program. The study contributes to theory by using DTPB to understand facilitating, control, and self-efficacy beliefs hindering the adoption of virtual learning from students' perspective.
Student Learning Experiences With Online Learning Management Systems and Digital Media Technology at a South African Rural-Based University
Authors: Makananise Fulufhelo Oscar , Madima Shumani Eric
Published: July 2023

This chapter explores students' experiences in the use of online learning management systems (LMS) and advanced digital media technology to enhance learning skills in historically disadvantaged universities in South Africa. A qualitative research design was used to highlight how digital transformation could improve or enhance the student's learning experience and make an effective contribution to an effective learning culture, especially in historically disadvantaged higher education institutions in the Global South. In this chapter, a total number of 20 honours students from the University of Venda in South Africa were purposively selected to voice their views, opinions, and experiences with online learning and the use of digital technology for learning purposes during the COVID-19 pandemic. The chapter established that online learning management systems such as Blackboard, Moodle, and digital media technology played a vital role to enhance student's learning experience at South African rural universities during the COVID-19 pandemic.
Entrepreneurial Development for Students in HE in the Context of the Digital Era
Authors: Shokri Hossein
Published: July 2023

We are living in an entrepreneurship era. There is an increasing demand in the modern economy to prepare university students for future work life and industry challenges. In our fast-changing and challenging world, success is not guaranteed by only having a university certificate. Universities play a key role in developing students' entrepreneurial abilities, such as competencies, skills, creativity, and knowledge as part of their “Third Mission” to contribute to social, cultural, and economic development through fostering creativity, innovation, and knowledge transfer activities. This chapter focuses on entrepreneurial development activities through digital technologies or e-learning systems to improve students' entrepreneurial abilities, such as skills, creativity, competencies, and knowledge in HE. The chapter presents one of the entrepreneurship skills development models widely used in education, the readiness inventory for successful entrepreneurs (RISE) model, pitch competitions, and discusses how e-learning systems can facilitate entrepreneurial development in HE.
Inclusive Education
Authors: Elshazly Elazab
Published: July 2023

The goal of this chapter is to offer both academic and practical suggestions that can be used by pre-service and in-service teacher educators. You'll learn about the origins of inclusion, the idea behind it, and the steps needed to effectively integrate kids with special needs into mainstream public classrooms. In this chapter, the authors will take a high-level look at inclusion theory. The program's overarching goal is to facilitate a child with a disability's full participation in the general education classroom under the guidance of trained educators and specialized educational technology. In this chapter, the authors will show how schools and towns can create an environment where all students feel welcome, and how special education students can learn alongside their typically developing peers. There was also discussion of the definition and characteristics of inclusion, the perspectives of educators on inclusion, a concrete example of the beneficial effects of an inclusive setting, and the methods for quantifying and assessing inclusion in various countries (UAE).
Digital Health, Post COVID-19 Pandemic, and a Public Policy Perspective
Authors: Anshari Muhammad , Hamdan Mahani , Ali Emil , Ahmad Norainie
Published: July 2023

COVID-19 was a global pandemic that spread rapidly and caused public anxiety and concern. Various precautions have been attempted to reduce the intensity of the pandemic and its disruptive effects on society in response to the unexpected emergence of the COVID-19 pandemic. Digital health applications offer an innovative solution that is helpful for individuals, organisations, and health professionals while also, most significantly, assisting in the prevention of disease. There were many created to mark the shift to a digital healthcare system. Therefore, the purpose of this chapter is to assess the development of digital health during the COVID-19 pandemic from the perspective of public policy and administration provided by digitalized healthcare systems. The research revealed that the role of public policy in supporting the implementation of digital health is encouraging innovation and the development of high-quality digital health technology, setting clear standards and regulations regarding the use of digital health technology, and promoting digital health literacy to the public.
Smart Cities
Authors: Thakur Anusha
Published: July 2023

In today's scenario, the development of smart cities is largely being powered, enabled, and integrated by increasing concepts of advanced data analytics and cloud technologies. Rising population and migration trends are essentially the factors expected to bolster the development of megacities across the world. This chapter emphasizes the market trends, and opportunities empowering the future of smart cities. It contemplates the strategies adopted by the top smart cities to optimize the overall energy production and expansion of their markets. The chapter focuses on different indicators for smart cities, and the factors driving the rise in the development of megacities. In addition to these, the need for the development of smart cities, along with the factors hindering the overall rise of these cities, will also be the key areas of study. Further, the chapter also discusses the market size and forecasts of smart cities in Asia for the period of 2021-2030.
Agenda-Setting Towards Indonesia's Ambitious Electricity Decarbonization 2030
Authors: Hariyadi Hariyadi , Susantyo Badrun , Silalahi Sahat Aditua Fanditya
Published: July 2023

Indonesia's successful implementation of the Green Business Plan of Electricity 2021-2030 (the Green RUPTL) is a vital momentum in achieving the energy transition. Under this framework, a necessary step includes adding 51.6% of renewable power generation by 2030. This chapter aims to analyze essential issues of mainstreaming the circularity approach in the Green RUPTL using aspects of structure, process, and socio-culture as a tool of analysis. The legal frameworks have been relatively fulfilled. However, several breakthrough measures are needed to target several vital issues. Mainstreaming the circularity strategy in solar and wind power development will be implemented massively in the long term. In the medium term, strengthening the CE approach to meet the Green RUPTL needs a completion of related legal frameworks and strengthening international cooperation whilst in the short term, the law enforcement in the solar and wind power projects and becomes a vital modality to begin mainstreaming the strategy.
Analysis of Pediatric Respiratory Disease Trends Using the 2016 KIDs' Inpatient Database
Authors: Balan Shilpa , Pandit Shailja
Published: July 2023

Many infants and young children worldwide have been affected by chronic respiratory conditions. In this paper, the authors performed an exploratory and predictive analysis of the 2016 KID data set to examine respiratory disease trends among children. They applied the multiple linear regression and random forest regression methods to build a predictive model for the length of stay (LOS) for children with respiratory problems. The tree approach implemented using random forest is found to be a better approach for predicting the length of stay (LOS). In addition, they performed an exploratory analysis of significant fields from the data set. From the analysis, it is found that the winter season has the highest number of inpatient admissions of children having chronic respiratory illnesses. Further, it is found that newborns and infants are more prone to respiratory diseases, with bronchitis being the leading cause of respiratory diseases among children.
Robot Path Planning Method Combining Enhanced APF and Improved ACO Algorithm for Power Emergency Maintenance
Authors: Wang Wei , Yin Xiaohai , Wang Shiguang , Wang Jianmin , Wen Guowei
Published: July 2023

Considering the limited adaptability of the existing substation inspection robot path planning (PP) algorithms, the authors propose a novel PP method for mobile robots (MR) based on the structure of the ultra-high voltage (UHV) substation inspection robot system. The proposed method combines the improved ant colony optimization (IACO) algorithm and the enhanced artificial potential field (EAPF) algorithm. To minimize the interference of the pheromones, they introduced a pheromone adjustment coefficient in the later iterations of the algorithm. Furthermore, they improved the global pheromone update method, which is beneficial to the MR to search for the optimal path (OP) rapidly. They constructed two environmental models using the grid method, and they used MATLAB to implement comparative experiments between the proposed algorithm and other advanced methods. The results demonstrate that the proposed algorithm outperforms other methods in terms of running time, convergence speed, and global optimization ability.
A Hybrid Approach of Cryptography
Authors: Singh Ranjeet Kumar
Published: July 2023

This article represents a dual security mechanism based on compressive sensing, quantum chaos map, random pixel exchange, and frequency division approach. It also provides the digital data authentication system based on combined approach of DWT and SVD. Two watermarks are used for dual authentication purposes and compressive sensing is used to provide parallel compression and data encryption. The detail algorithm and approach is explained in the next section. This approach is more effective than other conventional approachs and takes less time and space complexity to the others i.e. AES, DES RSA type data encryption mechanism. This article also provides the parallel compression mechanism which reduced the required memory size. This mechanism also provides the parallel digital data security as well as authentication system which provided more secure communication on the social network and also provides a secure authentication mechanism based on frequency division, compressive sensing, random pixel exchange, etc. The results are shown in the form of images and tables.
A Novel Multi-Domain Adaptation-Based Method for Blast Furnace Anomaly Detection
Authors: Xiao Xuewen , Zhou Jiang , Xia Yunni , Gao Xuheng , Peng Qinglan
Published: July 2023

In the steelmaking process, ensuring stable and reliable furnace plays a vital role for guaranteeing production quality of steel products. Traditional methods for detecting furnace anomalies in blast furnaces rely on operator judgment models built upon expert knowledge that can be limited by human experience. Moreover, data generated in blast furnace ironmaking process can be multidimensional, non-Gaussian distributed, and periodical, which can be easily affected by environmental and human factors and thus resulting in low accuracy of anomaly detection. Therefore, an online intelligent framework for detecting furnace anomalies is in high need. In this paper, the authors propose a novel anomaly detection method based on a furnace condition parameter-characterization model, a mining model of periodic patterns in the ironmaking process, and a multi-domain adaptive anomaly detection algorithm. They conduct extensive numerical analysis based on real-world production datasets as well to evaluate the effectiveness and accuracy of the method.
Utilizzo di farmaci per via sottocutanea nel paziente terminale. Una breve revisione
Authors: Bosa Marianna , Benetton Maria , Franzoi Annusca
Published: July 2023

La somministrazione di farmaci per via sottocutanea Ã¨ una pratica molto comune nelle cure palliative per il controllo dei sintomi nel fine vita. La letteratura offre studi per lo piÃ¹ di tipo osservazionale dai quali emerge un ampio spettro di farmaci somministrabili per via sottocutanea nei pazienti terminali. Nella pratica clinica si somministrano per via sottocutanea molti farmaci con beneficio nel trattamento dei sintomi del fine vita ma le evidenze scientifiche sono scarse; le raccomandazioni derivano soprattutto da case report e valutazioni derivate dallâ€™opinione degli esperti.