bluuebunny/crossref_metadata_2025 huggingface dataset:
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PELANGGAN TERBAIK MENGGUNAKAN METODE WEIGHTED PRODUCT
Authors: Siregar Victor Marudut Mulia , Sonang Sahat , Damanik Erikson
Published: August 2022

This study aims to overcome the problem of selecting the best customer at Pematangsiantar Subur Graphic Printing. For the smooth running of the printing business, Subur Graphics maintains good relations with consumers by giving rewards to the best customers. In determining the best customer for graphic fertile printing, it is still done manually. To help overcome the problem of selecting the best customer, a decision support system is designed. Web-based decision support system built using the Weighted Product method. This decision support system uses criteria consisting of total shopping, payment method, length of subscription, payment status and total visits. The result of this research is a web-based decision support system with an output consisting of recommendations for the three best customers, namely the first best alternative Pd_Pphn with a vector value of V 0.085, the second best alternative GPIB Maranatha with a vector value of V 0.080, and the third best alternative SPTI_Ib_Mrni with a vector value of V 0.077. With a decision support system for determining the best customer using the weighted product method, Subur Graphic Printing can easily select the best customer.
MENGANALISIS KEUNTUNGAN DAN BIAYA TERHADAP PROSES PENGOLAHAN SARANG BURUNG WALET MENGGUNAKAN ALGORITMA C5.0
Authors: Purba Windania , Angelin Angelin
Published: August 2022

This study aims to analyze the costs and benefits required to produce swiftlet nests. Swallow's nest is a very popular health product today. This can happen because swallow's nest has many health benefits such as antioxidant, anti-inflammatory, antiaging, anticancer, increasing immunity and accelerating wound healing. Currently, the production of swallow's nest at PT. Cefa Indonesia Sejahtera Lestari is difficult to do so that swallow nest products are expensive. To help PT. Cefa Indonesia Sejahtera Lestari overcomes the problem of the cost of processing dirty swallow's nests to finished products so that they can be handled properly using the C5.0 algorithm by classifying these problems. The results showed that the root node was obtained, namely the drying stage of the swallow's nest. If the costs required at this stage are equivalent to the existing capital, the company will benefit. Conversely, if the required cost exceeds the existing capital, the company will experience a loss.
Understanding the competing pathways leading to hydropyrene and isoelisabethatriene
Authors: Zev Shani , Ringel Marion , Driller Ronja , Loll Bernhard , Brück Thomas , Major Dan T
Published: August 2022

Terpene synthases are responsible for the biosynthesis of terpenes, the largest family of natural products. Hydropyrene synthase generates hydropyrene and hydropyrenol as its main products along with two byproducts, isoelisabethatrienes A and B. Fascinatingly, a single active site mutation (M75L) diverts the product distribution towards isoelisabethatrienes A and B. In the current work, we study the competing pathways leading to these products using quantum chemical calculations in the gas phase. We show that there is a great thermodynamic preference for hydropyrene and hydropyrenol formation, and hence most likely in the synthesis of the isoelisabethatriene products kinetic control is at play.
Cognitive Disposition, Self-Determination and Attitude to Keyboarding as Determinants of Students’ Achievement in Word Processing in Colleges of Education, South-West, Nigeria
Authors: Abati Olugbenga Adekunle , Olusanya Omolara Oluwatoyin
Published: August 2022

The declining trend in performance of Business Education students in word processing has become worrisome to stakeholders most especially business education lecturers. This study therefore examined cognitive disposition, self-determination, and attitude to keyboarding as determinants of students’ achievement in word processing in colleges of education in South-West, Nigeria.This study adopted a descriptive survey research design type. A sample of 1,346 students was selected through stratified random sampling technique from a population of 6,035 college of education students in South-West, Nigeria. Five research instruments were used for data collection. They are: Demographic Data Inventory, Cognitive Disposition Inventory (=0.89), Self-Determination Scale (=0.86), Attitude to Keyboarding Scale (=0.76) and Word Processing Achievement Test (=0.89). The null hypotheses were tested using Multiple Regression Analysis at 0.05 level of significance.The finding revealed that cognitive disposition, self-determination, and attitude to keyboarding significantly predict students’ academic achievement in Word Processing (F(3, 1342) = 31.807, p <.05). In the same vein, cognitive disposition (= .317, t=21.605, p < .05), self-determination (=.226, t=12.449, p < .05), and attitude to keyboarding (=.208, t=10.194, p < .05) have relative contributions to the prediction of academic achievement in Word Processing among the students.It was therefore recommended, among others, that Business Education Lecturers in Colleges of Education should identify those strong cognitive disposition patterns in their classes and utilize fitting approaches to accommodate individual cognitive disposition preferences in their pedagogy. Educators should continually promote self-determination via both intrinsic and extrinsic motivation by helping learners to focus not only on the extrinsic rewards they gain after they accomplish tasks but to also inculcate the intrinsic value in their learning of Word Processing.
Optimized CNN Model with Derived Kernels for Apnea Classification Application
Authors: A Smruthy , M Suchetha
Published: August 2022

The sleep related disorders are common in both men and women, irrespective of their age. In recent years, there is an abrupt increase of interest in the prediction of sleep related disorders among the researchers. The most common data analysis approach utilize a large data set to predict the sleep apnea episode. The computational complexity of such predictions is high and most of the techniques are failing to select the optimal features. The recent trends show that the convolution neural network gaining the popularity because of its ability to select the optimal features and the dimension reduction property. On the other way, it is also important to address the noise issues in the acquired physiological data. The Variational Mode Decomposition (VMD) is an adaptive way of decomposing the different frequency levels, such that the noise level can be easily separated into the corresponding levels. This paper presents a novel technique for the optimal feature extraction from the Variational Mode Function (VMF) levels by using the concept of the Convolution Neural Network (CNN).
Perceived Stress, Breastfeeding Motivation and Breastfeeding Success among Mothers with Newborn Infants’ Hospitalization in the Neonatal Unit
Authors: ŞENER TAPLAK Ayşe , ŞENER Yeter
Published: August 2022

Aim: This research aimed to determine perceived stress, breastfeeding motivation, and breastfeeding success and to reveal the relationship between them, among mothers with newborn infants’ hospitalization in the neonatal unit.

Materials and Methods: This cross-sectional study sampling consisted of 128 term newborn’s mothers. After obtaining the necessary permissions data were collected via introductory characteristics form, perceived stress scale, breastfeeding motivation scale, and LATCH breastfeeding assesment scale. Descriptive statistical analyzes, Mann-Whitney U test, Kruskal-Wallis, Dunn-Bonferroni, and Spearman correlation analysis were used for data analysis. P< 0.05 was considered statistically significant in all analyses.

Results: In this sample, the perceived stress was higher among primiparous mothers with newborn infant in the neonatal unit, who were older age, primary and high school graduates, nonworking, who did not receive prenatal breastfeeding training, and started breastfeeding immediately after birth. Breastfeeding motivation was higher among young mothers, university graduates, working, mothers with a planned pregnancy, and who received prenatal breastfeeding training. The results also showed that mothers who graduated from high school and university, whose pregnancy was planned, and who received prenatal breastfeeding training had higher LATCH scale scores. As perceived stress decreased, breastfeeding motivation and breastfeeding success increased, in this study (p
Indwelling Bladder Catheter Using in Cesarean Section: Is It Really Necessary?
Authors: DEMİRDAĞ Erhan , CEVHER AKDULUM Munire Funda , ŞAHİN TORUK Esin , KARABACAK Recep Onur
Published: August 2022

Aim: This study aimed to evaluate the safety of cesarean section (CS) without an indwelling bladder catheter. We also aimed to compare the differences of clinical and voiding characteristics in patients with or without the urinary catheter after CS.

Materials and Methods: This case-control study was conducted retrospectively in Gazi University Faculty of Medicine Hospital between April and September 2021. A total of 40 patients having an elective CS were reviewed. Among these patients, two groups were analyzed according to urinary catheter use: Patients without the urinary catheter (Group 1 / Study) and patients with the urinary catheter (Group 2 / Control). Outcome measures were postoperative urination, postoperative mobilization, and the discharge time of the patients.

Results: While cesarean duration was significantly longer in group 1, postoperative urination, postoperative mobilization, and the hospital discharge times were significantly longer in group 2 (p
Yehuda Pen, The Sholem Aleichem of Painting
Authors: Diment Galya
Published: August 2022

This article is about Marc Chagall’s teacher in Vitebsk, Yehuda Pen (1854-1937), and the school for painters that he established at the turn of the twentieth century. From it, in addition to Chagall, came the likes of El Lissitzky (1890-1941) and Osip Zadkine (1888-1967). It is proposed that in addition to training and enabling these better-known artists to “paint in Yiddish,” Pen, who is hardly known in the West (and who was mysteriously murdered in 1937, at the peak of Stalin’s purges), was himself (while academically trained) a truly and remarkably groundbreaking Jewish, Yiddish painter.
SUSTAINABLE SUPPLY CHAIN MANAGEMENT IN CONSTRUCTION: AN EXPLORATORY REVIEW FOR FUTURE RESEARCH
Authors: Cataldo Ieva , Banaitis Audrius , Samadhiya Ashutosh , Banaitienė Nerija , Kumar Anil , Luthra Sunil
Published: August 2022

Although the importance of supply chain management in the construction sector has been recognized in recent years, its implementation still faces significant challenges. For the long-term evaluation of this creative sector, numerous intricate sustainability components, such as environmental, social, and financial, are necessary. The study focuses on longterm sustainability considerations in the supply chain in the construction sector. This work aims to address this information and examine sustainable supply chain management (SSCM) research in the construction sector in this manner. More than 95 publications were studied from the beginning of 2017 to the end of 2021 using both in-depth content analysis and bibliometric methodologies. Several issues of SSCM in construction have been found including environmental, economic and social patterns which are most commonly known as the triple bottom line, typically enhanced by artificial intelligence. Many challenges were discovered including inefficiencies in the logistics system and a shortage of funding, environmental issues in demolition procedures and difficulties in applying sustainability measures due to high skill, data, and time requirements. The article offers a broad list of potentials for improving the current situation in the construction sector by using various types of supply chains such as increasing investment in energy conservation and emission reduction technologies to drive sustainable development, establishing strong green supply chain relationships, and forming a Covid-19 financial support group for small construction companies among other things. The study’s findings suggested that due to the significance of long-term relationships between construction companies, suppliers and customers, smart technology could make it simpler to reach every supply chain link. After an exhaustive literature review 59 research questions were formulated for the future research. In the future, the importance of these questions could be determined using expert questionnaires and multi-criteria evaluation.
Mapping the X-Ray Corona Evolution of IRAS 13224-3809 with the Power Spectral Density
Authors: Chainakun Poemwai , Luangtip Wasuthep , Jiang Jiachen , Young Andrew J.
Published: August 2022

We develop the power spectral density (PSD) model to explain the nature of the X-ray variability in IRAS 13224–3809, including the full effects of the X-ray reverberation due to the lamppost source. We utilize 16 XMM-Newton observations individually as well as group them into three different luminosity bins: low, medium, and high. The soft (0.3–1 keV) and hard (1.2–5 keV) PSD spectra are extracted and simultaneously fitted with the model. We find that the corona height changes from h ∼ 3 r
g during the lowest luminosity state to ∼25 r
g during the highest luminosity state. This provides further evidence that the source height from the reverberation data is significantly larger than what is constrained by the spectral analysis. Furthermore, as the corona height increases, the energy spectrum tends to be softer while the observed fractional excess variance, F
var, reduces. We find that the PSD normalization is strongly correlated with F
var and moderately correlated with the PSD bending index. Therefore, the normalization is dependent on the accretion rate that controls the intrinsic shape of the PSD. While the intrinsic variability of the disk is manifested by the reverberation signals, the disk and corona may evolve independently. Our results suggest that, as the source height increases, the disk itself generates less overall variability power but more high-frequency variability resulting in the PSD spectrum that flattens out (i.e., the inner disk becomes more active). Using the luminosity-bin data, the hint of the Lorentzian component is seen, with the peak appearing at lower frequencies with increasing luminosity.
Turbulence and Waves in the Sub-Alfvénic Solar Wind Observed by the Parker Solar Probe during Encounter 10
Authors: Zhao L.-L. , Zank G. P. , Adhikari L. , Telloni D. , Stevens M. , Kasper J. C. , Bale S. D. , Raouafi N. E.
Published: August 2022

During its 10th orbit around the Sun, the Parker Solar Probe sampled two intervals where the local Alfvén speed exceeded the solar wind speed, lasting more than 10 hours in total. In this paper, we analyze the turbulence and wave properties during these periods. The turbulence is observed to be Alfvénic and unbalanced, dominated by outward-propagating modes. The power spectrum of the outward-propagating Elsässer z
+ mode steepens at high frequencies while that of the inward-propagating z
− mode flattens. The observed Elsässer spectra can be explained by the nearly incompressible (NI) MHD turbulence model with both 2D and Alfvénic components. The modeling results show that the z
+ spectra are dominated by the NI/slab component, and the 2D component mainly affects the z
− spectra at low frequencies. An MHD wave decomposition based on an isothermal closure suggests that outward-propagating Alfvén and fast magnetosonic wave modes are prevalent in the two sub-Alfvénic intervals, while the slow magnetosonic modes dominate the super-Alfvénic interval in between. The slow modes occur where the wavevector is nearly perpendicular to the local mean magnetic field, corresponding to nonpropagating pressure-balanced structures. The alternating forward and backward slow modes may also be features of magnetic reconnection in the near-Sun heliospheric current sheet.
On the Nature of the Photospheric Horizontal Magnetic Field Increase in Major Solar Flares
Authors: Liu Lijuan , Zhou Zhenjun , Wang Yuming , Sun Xudong , Wang Guoqiang
Published: August 2022

The rapid increase of the horizontal magnetic field (B

h
) around the flaring polarity inversion line is the most prominent photospheric field change during flares. It is considered to be caused by the contraction of flare loops, the details behind which is still not fully understood. Here we investigate the B

h
increase in 35 major flares using HMI high-cadence vector magnetograms. We find that the B

h
increase is always accompanied by the increase of field inclination. It usually initiates near the flare ribbons, showing a step-like change in between the ribbons. In particular, its evolution in the early flare phase shows a close spatiotemporal correlation to flare ribbons. We further find that the B

h
increase tends to have similar intensity in confined and eruptive flares but a larger spatial extent in eruptive flares in a statistical sense. Its intensity and timescale have inverse and positive correlations to the initial ribbon separations, respectively. The results altogether are well consistent with a recent proposed scenario that suggests that the reconnection-driven contraction of flare loops enhances the photospheric B

h
according to the ideal induction equation, providing statistical evidence of the reconnection-driven origin for the B

h
increase for the first time.
Heliocentric Effects of the DART Mission on the (65803) Didymos Binary Asteroid System
Authors: Makadia Rahil , Raducan Sabina D. , Fahnestock Eugene G. , Eggl Siegfried
Published: August 2022

The Double Asteroid Redirect Test (DART) is NASA’s first kinetic impact–based asteroid deflection mission. The DART spacecraft will act as a projectile during a hypervelocity impact on Dimorphos, the secondary asteroid in the (65803) Didymos binary system, and alter its mutual orbital period. The initial momentum transfer between the DART spacecraft and Dimorphos is enhanced by the ejecta flung off the surface of Dimorphos. This exchange is characterized within the system by the momentum enhancement parameter, β, and on a heliocentric level by its counterpart, β
⊙. The relationship between β and the physical characteristics of Dimorphos is discussed here. A nominal set of Dimorphos physical parameters from the design reference asteroid and impact circumstances from the design reference mission are used to initialize the ejecta particles for dynamical propagation. The results of this propagation are translated into a gradual momentum transfer onto the Didymos system barycenter. A high-quality solar system propagator is then used to produce precise estimates of the post-DART encounters between Didymos and Earth by generating updated close approach maps. Results show that even for an unexpectedly high β
⊙, a collision between the Didymos system and Earth is practically excluded in the foreseeable future. A small but significant difference is found in modeling the overall momentum transfer when individual ejecta particles escape the Didymos system, as opposed to imparting the ejecta momentum as a single impulse at impact. This difference has implications for future asteroid deflection campaigns, especially when it is necessary to steer asteroids away from gravitational keyholes.
Building a Biobank Network for Health Research in Indonesia
Authors: Dwianingsih Ery Kus , Yunus Junaedy , Lazuardi Lutfan , Wahdi Amirah Ellyza , Rhamadianti Aulia Fitri , Linda Florentina , Hariyanto Sunandar , Fachiroh Jajah
Published: August 2022

BACKGROUND: Biobanks play an essential role in the development of personalized medicine since they collect large numbers of high-quality biomaterials corresponding to clinical data. Despite its extensive population diversity, research institutions in Indonesia have indicated less awareness regarding biobanking for research practices.

AIM: The journey to harmonize the knowledge and understanding of biobanks for health research and the development of the network in Indonesia has been summarized in this article.

METHODS: To build a national biobank network, in 2015 the Faculty of Medicine, Public Health and Nursing, UGM held the first national biobank network meeting in Indonesia. Follow-up meetings were then held to identify challenges and constraints faced by the network. Five annual national workshops (2015–2019) have been held.

RESULTS: Four working groups (WG) were formed to effectively coordinate the network, addressing the infrastructure and Laboratory Information Management System (WG 1), SOP and Best Practices (WG 2), Training and Education and Legal (WG 3), and Ethical and Social Issues (WG 4).

CONCLUSION: The formation of a national biobank network in Indonesia is based on the hope for multi-institutional collaboration to mainly foster the development of biobanks for health research with best available practices and provide a central hub of coordination.
The Influence of Ballistic Exercises on Growth, Somatomedin Hormones for Soccer Players
Authors: Ramadan Wael , Elsayed Ahmed , Alim Mariam  Abu , Abdi Ellie , Razek Medhat Kasem Abdel
Published: August 2022

BACKGROUND: The sequence of exercise-induced hormonal changes demonstrates the quantification of training and competition loads and developing a sport-specific conditioning program.

AIM: The present study investigates the impact of ballistic exercises on biochemical variables and the muscular ability of soccer players.

METHODS: Participants were assigned randomly to two groups, including ten participants in each group, and underwent a pre- post-intervention test, including growth hormone, somatomedin hormone, triple jump, and wide jump.

RESULTS: The experimental group showed a significant increase in Growth by 43.56%, somatomedin by 6.99%, Triple jumps by 18.65%, and Wide jump by 15.68% compared to the control group.

CONCLUSION: In conclusion, ballistic exercises improved growth and somatomedin hormone, triple jump, and wide jump and thus enhancing biochemical variables and muscular ability.
Phylogenetic Analysis of HPV16 Isolated from Women with Cervical Cancer Based on L2 Gene Partial Sequence in the Province of Dhi-Qar, Iraq
Authors: Jalil Abduladheem Turki , Karevskiy Aleksandr
Published: August 2022

BACKGROUND: As a causative agent for cervical cancer, the human papillomavirus (HPV) is well-recognized. Being a high-risk form, HPV16 is considered and has been confirmed to be associated specifically with cancer of the cervix.

AIM: HPV16’s phylogenetic tree and genetic diversity are well known worldwide, but in Iraq, documents on HPV16 genetic diversity among women with cervical cancer are lacking; therefore, the present study focused on phylogenetic analysis of HPV16 isolated cervical cancer based on L2 gene partial sequence.

METHODOLOGY: The current study focused on the investigation of HPV16 in women who suffer from cervical cancer. This survey was performed on 93 adult females suffering from cervical cancer during the period from 2017 to 2020. For the molecular study, DNA was extracted and subjected to a polymerase chain reaction (PCR) for detection and amplification of minor capsidprotein L2 gene. Nucleotide sequences of amplified capsid L2 gene were searched using the advanced simple local alignment search tool at GenBank (BLAST).

RESULTS: Genetic screening on HPV16 L2 gene by conventional PCR showed that 60 (65%) of cervical cancer cases infected by HPV16 while only 5 (8%) of the healthy control group are positive for HPV16. The results of the NCBI-BLAST homology sequence showed that genetic variation appeared in four strains from five strains of HPV16.

CONCLUSION: HPV16 from the main causative factors for cervical cancer with high genetic variation.
Relationship of Bactericidal Permeability Increasing Protein (BPI) Polymorphysm rs1341023, rs5743507, Tumor Necrosis Factor Alpha (TNF-α) rs361525, rs1800629 with Neonatal Sepsis
Authors: Afdal Afdal , Jamsari Jamsari , Yanwirasti Yanwirasti , Rukmono Prambudi
Published: August 2022

Background: Neonatal sepsis is a problem in the field of child health because the incidence is increasing every year and often ends in death. This study aimed to investigate the relationship between TNF-α and BPI gene polymorphisms with neonatal sepsis.
Methods: PCR and sequencing examinations were performed on 60 DNA samples consisting of 30 samples of neonatal sepsis and 30 samples of non-neoptic sepsis. Furthermore, data in the form of DNA mutation tables were statistically processed by univariate, bivariate, and multivariate analysis. It is considered meaningful if p<0.05.
Result: The results showed that BPI rs1341023, rs5743507 and TNF-α rs361525, rs1800629 only BPI rs1341023 and TNF-α rs1800629 were mutated. Of the two genes, only TNF-α rs1800629 had a significant association with neonatal sepsis (p<0.05).
Conclusion: This study proved that the TNF-α rs1800629 mutation was the most important polymorphism in the occurrence of neonatal sepsis (p<0.05).
Keywords: BPI, TNF-α, Neonatal, Polymorphism, Sepsis
Non-native terrestrial slugs from Sinaloa, Mexico: Deroceras laeve (O. F. Müller, 1774) and Sarasinula plebeia (P. Fischer, 1868) (Mollusca, Gastropoda)
Authors: Alvarez-Cerrillo Laura , Yáñez-Rivera Beatriz , Araiza-Gómez Victoria
Published: August 2022

This is the first record of two non-native terrestrial slug species from Sinaloa, Mexico. Deroceras laeve and Sarasinula plebeia were collected between 2019 and 2022 in Concordia and Mazatlan Municipalities (north-western Mexico). The external morphology and anatomic features of the dissected specimens coincide with the descriptions of each species, whose identities were also confirmed by their partial COI sequences. The ample occurrence of S. plebeia suggests that this species has an established population, while D. laeve was found as isolated individuals, likely associated with plant nurseries.
Ardisia whitmorei (Primulaceae-Myrsinoideae), a new species from north east of Peninsular Malaysia
Authors: Julius Avelinah , Utteridge Timothy M.A.
Published: August 2022

Ardisia whitmorei Julius & Utteridge, sp. nov. (Primulaceae-Myrsinoideae), a member of Ardisia subgenus Stylardisia on account of the style protruding from the closed petals prior to anthesis, is herein described and illustrated as a new species. This new species is easily distinguished by the combination of the inflorescences with a slender rachis branched to two orders, the corolla lobes are abaxially glabrous with usually up to only two gland-dots near the apex and the brochidrodromous secondary veins with double loops near the margin.
Mingled hyperbolicities: Ergodic properties and bifurcation phenomena (an approach using concavity)
Authors: Díaz Lorenzo J. , Gelfert Katrin , Rams Michał
Published: August 2022

We consider skew-products with concave interval fiber maps over a certain subshift obtained as the projection of orbits staying in a given region. It generates a new type of (essentially) coded shift. The fiber maps have expanding and contracting regions which dynamically interact. The dynamics also exhibits pairs of horseshoes of different type of hyperbolicity which, in some cases, are cyclically related.

The space of ergodic measures on the base is an entropy-dense Poulsen simplex. Those measures lift canonically to ergodic measures for the skew-product. We explain when and how the spaces of (fiber) contracting and expanding ergodic measures glue along the nonhyperbolic ones. A key step is the approximation (in the weak\begin{document}$ \ast $\end{document} topology and in entropy) of nonhyperbolic measures by ergodic ones, obtained only by means of concavity. Concavity is not merely a technical artificial hypothesis, but it prevents the presence of additional independent subsystems. The description of homoclinic relations is also a key instrument.

These skew-products are embedded in non-decreasing entropy one-parameter family of diffeomorphisms stretching from a heterodimensional cycle to a collision of homoclinic classes. Associated bifurcation phenomena involve a jump of the space of ergodic measures and, in some cases, of entropy.
Ship detention prediction using anomaly detection in port state control: model and explanation
Authors: Yan Ran , Wang Shuaian
Published: August 2022

Maritime transport plays an important role in global supply chain. To guarantee maritime safety, protect the marine environment, and enhance the living and working conditions of the seafarers, international codes and conventions are developed and implemented. Port state control (PSC) is a critical maritime policy to ensure that ships comply with the related regulations by selecting and inspecting foreign visiting ships visiting a national port. As the major inspection result, ship detention, which is an intervention action taken by the port state, is dependent on both deficiency/deficiencies (i.e., noncompliance) detected and the judgement of the inspector. This study aims to predict ship detention based on the number of deficiencies identified under each deficiency code and explore how each of them influences the detention decision. We innovatively view ship detention as a type of anomaly, which refers to data points that are few and different from the majority, and develop an isolation forest (iForest) model, which is an unsupervised anomaly detection model, for detention prediction. Then, techniques in explainable artificial intelligence are used to present the contribution of each deficiency code on detention. Numerical experiments using inspection records at the Hong Kong port are conducted to validate model performance and generate policy insights.
The non-linear Schrödinger equation associated with the soliton surfaces in Minkowski 3-space
Authors: Elsharkawy Ayman , Cesarano Clemente , Tawfiq Abdelrhman , Ismail Abdul Aziz
Published: August 2022

The quasi frame is more efficient than the Frenet frame in investigating surfaces, and it is regarded a generalization frame of both the Frenet and Bishop frames. The geometry of quasi-Hasimoto surfaces in Minkowski 3-space $ \mathbb{E}_1^3 $ is investigated in this paper. For the three situations of non-lightlike curves, the geometric features of the quasi-Hasimoto surfaces in $ \mathbb{E}_1^3 $ are examined and the Gaussian and mean curvatures for each case are determined. The quasi-Hasimoto surfaces in $ \mathbb{E}_1^3 $ must satisfy a necessary and sufficient condition to be developable surfaces. As a result, the parameter curves of quasi-Hasimoto surfaces in $ \mathbb{E}_1^3 $ is described. Thus, the $ s $-parameter and $ t $-parameter curves of quasi-Hasimoto surfaces in $ \mathbb{E}_1^3 $ are said to be geodesics, asymptotic, and curvature lines under necessary and sufficient circumstances are proved. Finally, quasi curves and associated quasi-Hasimoto surface correspondences are discussed.
To investigate the internal association between SARS-CoV-2 infections and cancer through bioinformatics
Authors: shen Qinyan , wang Jiang , zhao Liangying
Published: August 2022

Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), also known as COVID-19, is currently prevalent worldwide and poses a significant threat to human health. Individuals with cancer may have an elevated risk for SARS-CoV-2 infections and adverse outcomes. Therefore, it is necessary to explore the internal relationship between these two diseases. In this study, transcriptome analyses were performed to detect mutual pathways and molecular biomarkers in three types of common cancers of the breast, liver, colon, and COVID-19. Such analyses could offer a valuable understanding of the association between COVID-19 and cancer patients. In an analysis of RNA sequencing datasets for three types of cancers and COVID-19, we identified a sum of 38 common differentially expressed genes (DEGs). A variety of combinational statistical approaches and bioinformatics techniques were utilized to generate the protein-protein interaction (PPI) network. Subsequently, hub genes and critical modules were found using this network. In addition, a functional analysis was conducted using ontologies keywords, and pathway analysis was also performed. Some common associations between cancer and the risk and prognosis of COVID-19 were discovered. The datasets also revealed transcriptional factors-gene interplay, protein-drug interaction, and a DEGs-miRNAs coregulatory network with common DEGs. The potential medications discovered in this investigation could be useful in treating cancer and COVID-19.
An Attempt at Describing Learning Curves for a Complex Sub-Task in Reading Acquisition
Authors: Kermes Hannah , Berkling Kay
Published: August 2022

Learning curves are a well-known phenomenon in learning and describe the oscillation between correct and incorrect performance that precedes mastery. It demonstrates that making mistakes is part of the learning process. It is equally clear that these learning curves are highly individual and therefore pose a challenge in their description and direct comparison. With the ability to collect large amounts of data through learning games with adaptively generated content, it is now possible to take a novel look at this process. Literacy games were deployed in a school setting for the iRead EU Horizon 2020 Project. The Navigo app delivered a complex task of practising to distinguish vowel length in bi-syllabic words in German to pupils in the disguise of a game. Pupils' engagement with the game resulted in the largest longitudinal corpus that has ever been collected for this sort of task from 251 pupils in German elementary schools. The resulting data exhibits learning curves as trajectories, depicting response time and correctness across several weeks for each pupil’s playing sessions. The work presented here attempts to (a) model and parameterise these curves, (b) automate their classification into common forms across a larger population, and (c) detect mastery. In doing so, we propose a method of learning curve representation and interpretation and apply it to the data. A describable pattern of cognitive processing seems to be observable and common to all curves that may allow a prediction of mastery and ability for skill transfer to other environments for a subset of the players. As a result, we were able to describe five general types of common progressions. These findings are in part supported by additional data from pre- and post-tests in the form of paper-and-pencil activities. The work presented here should serve to demonstrate the importance of using large scale input data for training literacy skills rather than a few examples as is the norm in static schoolbooks.
The Impact of Socio-Economic and Psychographic Factors on Financial Inclusion
Authors: Jha Babita , Vijayvargy Lokesh , Gupta Srikant
Published: August 2022

Financial inclusion is a crucial factor in mainstreaming the low-income population with the formal financial system. It provides access to credit and provides a broad range of financial services. However, factors like illiteracy, inadequate income, and lack of awareness limit the poor people to utilize services offered by the bank. The study examines the Financial Attitude (FA), Financial Behavior (FB), and Financial Knowledge (FK) among the people of Rajasthan and interprets the effect on financial inclusion. This research is segregated based on aspects leading to financial exclusion like age, gender, income, education level, occupation, demographic, etc. The comprehensive research in studying the impact of socio-economic and psychographic factors on financial inclusion reveals that people are concerned about saving money for their future but still, there an enormous scope of better utilization of savings.
A Review on Existing Health Technology Assessment (HTA) Methodologies
Authors: Rayhan Dewan Sabbir Ahammed
Published: August 2022

Health technology assessment (HTA) generally means the step by step procedure to analyze the efficiency and effectiveness of a health technology. The COVID-19 pandemic situation has been made us realized about the important of HTA. For instance, before providing the vaccine for coronavirus, the vaccines need to be trialed for proofing its efficiency and effectiveness and this whole procedure of clinical trial is known as health technology assessment. This review has studied the definitions of HTA provided by international HTA agencies and researchers, and proposes a working definition of HTA. Moreover, this study broadly describes the framework and methodologies of conducting HTA for a health technology. In COVID-19 situation, it is necessary to find a suitable method to assess coronavirus vaccines to identify its efficiency and effectiveness. This study will be helpful for the HTA conducting authorities to find a suitable way to assess vaccines. In addition, this study has pinpointed the current study gaps in HTA and suggested few recommendations to address HTA at present.
Exploring Organizational Behavior and Workplace Diversity in Healthcare
Authors: Sabie-Aridi Amalisha S. , Burrell Darrell Norman , Richardson Kevin
Published: August 2022

Overlook hospital is facing major impacts that include (1) the minority nursing workforce is 4 percent, while the minority patient representation is 39%, (2) the hospital supply chain does not have one minority vendor, (3) 85 percent of minority nurses are dissatisfied with the work culture and job advancement opportunities, and (4) the hospital does not have a diversity and inclusion strategy. The hospital has experienced a series of community protests against the lack of diversity and discrimination at the hospital. The focus of is study is an exploration of diversity and inclusion in a hospital setting. An action research approach used included fact-finding interviews, barrier analysis, company policy assessments, content analysis of the problem in the literature, and recommendations based on the amalgamation of the triangulated data.
Improved Feature-Level Fusion-Based Biometric System for Genuine and Imposter Identification
Authors: M. R. Bharath , K. A. Radhakrishna Rao
Published: August 2022

In this research work is divided into five sections: pre-processing, feature extraction, featurelevel fusion, imposter/ genuine classification, and male/female identification. The gathered raw data for palm print, dorsal vein, wrist vein, and palm vein are pre-processed with enhanced median filtering algorithms. The required features are then being extracted from the pre-processed images. Following that, an improved feature-level fusion technique is carried out based on the required security level. In the low security level, the certain image features are considered. Furthermore, if the medium security level is chosen, any two sets of attributes has been combined. If the high security level is chosen, all of the retrieved characteristics has been combined. Further, multiple classifications are carried out. It will determine whether the individual is genuine or an imposter. If it is an imposter, simply get rid of it. If the categorized result is genuine, it is reclassified as male or female.
5G Mid-Range Electromagnetic Spectrum Implementation for Critical Infrastructure Development
Authors: Matthew Ugochukwu Okwudili , Kazaure Jazuli Sanusi , Okochi Prisca Ijeoma
Published: August 2022

The current research analysed the existing literature on the electromagnetic spectrum influences and made significant contributions in the perspective of the ongoing insinuations of electromagnetic frequency radiation emitted from the novel 5G network technology installations. In this case, the contemporary 5G network technology was tested along ANALOGY1, ANALOGY 2 and ANALOGY3 to find out if 5G network does emit electromagnetic non-ionizing radiation capable of destroying human body cells as already alleged. The paper observed that deploying the standalone 5G network on unmodulated ultra-high frequency beyond 20Gigahertz will produce non-ionizable, non-visible radiation (electrons and protons interacting as fields) capable of adverse health effect including heating up the human skin through polarisation and dipolar moment urtication , thereby destabilising the equilibrium of the human DNA charged particles through the formation of free radicals that are highly reactive due to the presence of unpaired electrons that occurred when water molecules are broken within the human cell.
Hybrid Strategy of Anti-Jamming for MANET
Authors: Soltane Merzoug
Published: August 2022

A mobile ad hoc network (MANET) is an autonomous system of mobile platforms called nodes which are free to move around randomly and without constraint. The Communication in this type of network is subject to many security issues such as jamming attacks, identifying the jamming attacks are challenging, which can increase the security threats, so security has now become a fundamental requirement. This threat is the reason to do this study aims to propose a new anti-jamming strategy for MANET. we have proposed an anti-jamming technique which combines two techniques (FHSS and DSSS). to estimate the efficiency and efficacy of jammers; to validate the security metrics of MANET; and to enhance the performance of our anti-jamming strategy. And in order to confirm the improvements made by our technique, we carried out a simulation using the NS3 network simulator.
Marketing Intelligence and Applications in Emerging Markets
Authors: Mandal Pratap Chandra
Published: August 2022

Multinational companies focus on emerging markets and expand their businesses into such markets for better opportunities. Companies require collecting marketing intelligence to analyze emerging markets. Such markets have customer requirements which are different from that of developed markets. New approaches should be adopted to gather and to analyze the information to generate marketing intelligence in emerging markets. The study discusses the importance of generating marketing intelligence for emerging markets. Companies should treat and manage marketing intelligence as a strategic asset, organize differently for marketing intelligence in emerging markets, and apply a wide range of sources and methods to generate marketing intelligence in emerging markets. Corporate office and employees of companies in emerging markets should have shared responsibilities for marketing intelligence. Such strategies will allow multinational companies to generate adequate marketing intelligence, to establish themselves in emerging markets, and to achieve business excellence in fast-changing economies.
Perceptions of the Graduate Students on the Utilization of Quizizz in Virtual Classes
Authors: Magadán-Díaz Marta , Rivas-García Jesús I.
Published: August 2022

This research explored the perceptions that postgraduate students have of a compulsory subject within a master's degree from a Spanish online university, when using Quizizz. A mixed methodology is used where the qualitative analysis traces the roadmap for the quantitative one, identifying the key themes revealed by a sample of 11 students, which were then used to build a survey launched to 106 students. The conclusions are: firstly, Quizizz can maintain the curiosity and attention of the students, improve participation and motivation in the virtual classroom and generate pleasant learning experiences; second, students perceived Quizizz as an engaging and fun platform; third, competitiveness emerged as an important variable driving students' intrinsic motivation, driven by the desire to be among the top ranks in game rankings; and fourth, Quizizz is a valuable tool for reviewing and retaining key concepts and ideas, but not necessarily for improving test scores. Finally, Quizizz has a positive influence over motivation, engagement, and dynamization of the virtual classroom.
Application of Factors and Moderation Analysis on Enterprise Resource Planning System Usage in the Middle East
Authors: Alzoubi Mahd M. , Snider Dallas H.
Published: August 2022

Organizations make substantial investments in implementing enterprise resource planning (ERP) systems to improve the efficiency and utilization of ERP systems. This study examined the factors influencing and moderating the use of ERP systems. The research variables' hypothetical relationships and moderation analysis were examined through factor analysis and partial least squares structural equation modeling. This study suggests that specific factors significantly influence and moderate the employees' system use. The research results could serve as a reference for vendors when planning the implementation of an ERP system.
Efficient Scheduling of Jobs and Allocation of Resources in Cloud Computing
Authors: Sutar Sandeep Gajanan , Kumarswamy S.
Published: August 2022

Due to the drastic utilization of clouds, a Proper and proficient allocation of resources in dynamically working environment of cloud systems turns into the challenging task. Different promising mechanisms have been created to work on the effectiveness of process of resource allocation. Yet at the same time there is some incompetency as far as resource allocation and job scheduling, when the systems become highly loaded. Hence, an effective algorithm for scheduling of jobs is needed to work on the proficiency of resource allocation activities. In this paper a advanced technique for scheduling of jobs is proposed for effective and unique process of allocation of resources in cloud computing. By making use of prediction-based techniques and mechanism of updating resource tables in dynamic manner, we achieve, better allocation of resources in the form of response time and completion of jobs. The experimental results demonstrate the effective outcomes compared to existing techniques, by achieving exactness in values for resource table updation.
Smart Classroom-Based Innovative Solution Toward Uninterrupted Education
Authors: Routray Sudhir K. , Mohanty Sasmita
Published: August 2022

Pandemics create a lot of disruptions in the society and we are directly affected. Covid-19 pandemic has changed a lot of aspects of human lives since the beginning of 2020. Several countries have gone for complete lockdown for several months to protect their citizens. Other countries too have restricted many common activities to some extent. In the majority of the countries, traditional classes in the schools, colleges and universities were not possible. Smart classrooms have emerged as a main alternative for the traditional classes. These smart classrooms are very much different from the video broadcasting. Several immersive and interactive technologies have been proposed for smart classrooms. In this article, we provide the basic principles of smart classrooms, their enabling technologies, and their impact on the education sector. We also provide specific pandemic centric initiatives for effective education in a virtual environment and their effects on the students, teachers and other stakeholders.