bluuebunny/crossref_metadata_2025 huggingface dataset:
IMPLEMENTASI METODE LONG SHORT TERM MEMORY UNTUK MEMPREDIKSI PERGERAKAN NILAI HARGA EMAS
Authors: Owen Michael , Vincent Vincent , Br Ambarita Riama , Indra Evta
Published: July 2022

Investment is an activity that is invested or financed with the hope of profit or return in the future. One form of investment is to use gold. Many people are interested in investing in gold. Apart from being quite affordable, investing in gold is also very easy to do and flexible. Gold is included in the low risk investment class because its price movements tend to follow the rate of inflation. This study uses the Long Short Term Memory (LSTM) method to predict the movement of gold prices which will visualize the data in the form of a Line Chart. This study aims to provide decision support material regarding the movement of buying and selling prices of gold through the presentation of data aimed at people who invest in gold. However, real gold price movements cannot be separated from external factors such as the exchange rate of the rupiah against foreign currencies, import export policies and other government policies. There are many influencing factors such as opening price, closing price, adjust close, volume, highs, lows recorded over a certain period of time. Another factor is the Daily Return which can be positive (Grown In Value) and negative (Lost In Value).
PENERAPAN DATA MINING UNTUK REKOMENDASI PAKET PERNIKAHAN MENGGUNAKAN METODE ALGORITMA APRIORI
Authors: Sitanggang Delima , Br S. Muham Nanchy Adeliana , Rangkuti Saljuna Hayu , Zalukhu Sion Putri , Indra Evta
Published: July 2022

SM Wedding Decoration is a place that provides services to take care of everything related to weddings. For example, wedding decorations, wedding organizers, and wedding planners. SM Wedding Decoration has several wedding packages that can be offered to customers. The many packages available make the bride and groom or customers confused to determine which wedding package is suitable for their wedding. The a priori algorithm method is used in this study to find recommendations for wedding packages based on existing transaction data and to improve the company's strategy and sales of other wedding packages. The Apriori algorithm is used to help computers learn patterns of association rules. This algorithm looks for a set of things that match the given criteria or sequence and has a certain frequency value. From this research, customers tend to order Photographer & Documentation and MUA → Deluxe packages more often, and these orders account for 44% of all package order transaction data. Package order transaction data for MUA→Deluxe package is 41.3%. Transaction data for the Photographer & Documentation package → Deluxe Package is 41.2%. And the transaction data for ordering the MUA → Premium Deluxe Package package is 41.3%.
PENERAPAN ALGORITMA APRIORI DALAM MENINGKATKAN PRODUKSI BUDIDAYA PERIKANAN MENGGUNAKAN ASSOCIATION RULE
Authors: Tajrin Tajrin , Frans David Ebenezer , Nainggolan Nadia Damayanti , Marbun Jose Agustin Fernando , Gulo Sediaman Julianus
Published: July 2022

Aquaculture production in North Sumatra needs to be increased in order to meet the increasing demand for aquaculture in the area from time to time. In order to optimize aquaculture production, recommendations are made for what types of aquaculture are most in demand by the community so that the North Sumatra Marine and Fisheries Service can prepare fishery supplies optimally. Recommendations for the provision of fish are carried out by utilizing data mining technology with an association rule algorithm. Processed data is fish sales history data. The result of this data processing is the combination of fish data that is most in demand by the community with a minimum amount of support of 40% to 3 itemset. Furthermore, the a priori algorithm is implemented at the marine and fisheries service to determine associations. By utilizing the results of this a priori algorithm analysis, the Department of Marine and Fisheries of North Sumatra can find out what types of aquaculture are the priorities for increasing production so that they can meet the needs of the community.
PREDIKSI PRESTASI MAHASISWA DENGAN MENGGUNAKAN ALGORITMA BACKPROPAGATION
Authors: Sonang Sahat , Purba Arifin Tua , Sirait Sarida
Published: July 2022

This study aims to overcome the problems in predicting student achievement at the Polytechnic Business Indonesia Pematangsiantar. To predict student achievement is done by applying Backpropagation algorithm and implement it into Matlab software. Backpropagation algorithm is one of the methods on artificial neural networks that is quite reliable in solving problems including prediction. In this study conducted on the object of students semester One with a lot of data samples 26 samples. The data sample is divided into two parts, 70% of the data is used as training data and 30% of the data is used as testing data. This study uses ten architectural models, namely 9-2-1, 9-3-1, 9-4-1, 9-5-1, 9-6-1, 9-7-1, 9-8-1, 9-9-1, 9-10-1, 9-11-1. Of the ten Backpropagation network architecture models implemented in predicting student achievement in Matlab software obtained the best output is 9-2-1 pattern with epoch 8149, time duration for 17 seconds, and MSE (error rate) value of 2.80 e-05 for training and MSE (error rate) of 0.1248 with accuracy of 87.5% for testing. The best architecture obtained is expected to be used as a picture by the academic Polytechnic Business Indonesia (PBI) in predicting student achievement.
Atmospheric Water Harvesting using functionalized Carbon Nanocones
Authors: Leivas Fernanda R , Barbosa Marcia C
Published: July 2022

In this work we propose using molecular dynamic simulations a method to harvest liquid water from vapor using carbon nanocones. The condensation occurs due to the presence of hydrophilic sites at the nanocone entrance. The functionalization together with the high mobility of water inside nanostructures leads to fast water flow through the nanostructure. We show that this device is able to collect water if the surface fuctionalization is properly selected.
Vaccinated: Marketing Workforce Hybridization
Authors: Nadeem Mohammed
Published: July 2022

With a hybrid workplace model, employers offer exceptional workplace places, create greater collaboration and community for workers and showcase an example of the modern workplace that is digitally flexible and hybrid.This article aims to explore how the organizations and workers impacted by the long-term impact of the pandemic have accelerated the work-from-home movement and exacerbated organizational issues associated with remote work. This study used qualitative content analysis methods and relied on recent remote work research articles, digital surveys, and interviews. This article provides a viewpoint based on the authors' professional experiences in academia and the industry. This narrative review aims to underscore how the pandemic brought lasting workforce changes, including the prevalence and permanence of remote and hybrid work. The article aims to present how companies are moving toward a hybrid workforce, capitalizing on both the collaborative nature of in-person work and the flexibility of telecommuting. This research aimed to study the new work models providing opportunities to supercharge customer intimacy, workers' engagement, and productivity. This study finds that the worker's challenges regarding job satisfaction, productivity, and organizational commitment work in progress as the COVID-19 pushed organizations into unprecedented and unplanned remote work, and hybrid work is the best remedial approach.The article adds to the body of knowledge regarding remote work in organizations focused on the new hybrid work environment created by the global pandemic. The result of the study recommends that organizations create a level playing field for workers, regardless of their location, empower managers, and care for workers as their highest priority not only structurally but in ways of workspaces, working, and culture for hybrid work. The general discussion includes the conclusions from the study for further qualitative and quantitative investigations with significant implications for academicians, practitioners, and policy makers.
Factors Influencing Cryptocurrency Adoption Among Nigerian University Fintech Entrepreneurs: An UTAUT perspective
Authors: Ebizie Promise I. , Nkamnebe Anayo D. , Ojiaku Obinna C.
Published: July 2022

Electronic transactions in the financial sector have continued to surge unprecedentedly around the globe. Governments, politicians, and practitioners around the world have been paying close attention to cryptocurrencies in recent years. Cryptocurrencies, a cutting-edge method of exchanging value without the need for a physical medium, offer a number of potential advantages, including quick transactions, cross-border use, low transaction fees, transparency, high security, anonymity, and privacy. As a result, they are anticipated to bring about a significant revolution in the way money is exchanged in the future. In order to forecast adoption of cryptocurrency among Nigerian University FinTech Entrepreneurs, this study will use the Unified Theory of Acceptance and Use of Technology (UTAUT) paradigm. The population of study was drawn from three major universities in Anambra state. Sample sizes of 323 students were used, out of which 313 questionnaires were correctly filled and returned and were used for the analysis. The findings of the study shows that performance expectancy, effort expectancy and facilitating conditions have a positive relationship with cryptocurrency adoption while there was no relationship established with social influence. This study adds to the expanding body of literature on cryptocurrencies and provides beneficial knowledge to fund managers (investors), enterprises, and individual users (payees) (receiving cryptocurrency as a payment method).
Sustainable Housing Delivery for The Urban Poor in Nigeria
Authors: Olubi Abiodun Rufus , Aseyan Babajide Sunday
Published: July 2022

The plight of the urban poor towards achieving adequate and satisfying housing accommodations remains a recurring decimal in Nigeria. Previous housing policies, concepts, strategies, and initiatives failed to establish a long-term sustainable housing delivery for this particular urban populace with recurrent quality and quantity shortages. This article underlines the challenges facing housing delivery for the urban poor and the need for appropriate and timely developmental strategies to ensure sustainable and effective housing delivery in Nigeria. It examines housing policies, housing conditions, and the constraints of sustainable housing delivery for the urban poor through a systematic review of academic outputs. It was discovered among others that sustainable housing delivery for the urban poor in Nigeria is challenged by the factors of incessant and unmatched urbanization, lack of socio-cultural considerations, economic realities, neglect of urban core, and inappropriate housing policies among others. The paper contributes to the body of knowledge on housing delivery from the perspective of the urban poor and concludes by highlighting some recommendations that are likely to obliterate the challenges identified and discussed.
Free fatty acids in some tissue of parasitized bug, Leptocoris augur Fabr., a pest of Kusum tree, Schleichera oleosa Lour.
Authors:   Department of Zoology, Shaheed Mangal Pandey Govt. Girls P.G. College, Meerut (Uttar Pradesh) 250002 India Entomology Research lab., Kumkum Dr
Published: July 2022

Leptocoris augur is a pest of kusum plant (Schleichera oleosa), which in turn is a host of lac insect. The bug is parasitized by a mermithid nematode, Hexamermis vishwakarma, which naturally checks rapid built-up of bug population. In the present studies free fatty acids content in different tissue such as gonads (i.e., testes and ovaries), muscles and haemolymph of parasitized bugs, L. augur have been studied. H. vishwakarma not only utilize fat body proteins but also the lipid content of the fat as a result of which fat bodies disappears from the haemolymph of L. augur. The fatty acid composition of the host haemolymph is not significantly changed by H. vishwakarma parasitism in L. augur of both the sexes. H. vishwakarma Dhiman takes nutrition from the haemolymph and muscles of insect body cavity Dhiman and Singh [3]. Availability of free fatty acids in the haemolymph of host bug help the parasitoid to establish in the haemocoel. After establishment, the parasitoid induces changes in the availability of biochemicals and composition of haemolymph, by the secretion of enzymes. The parasitoid’s enzymes cause degeneration or dissolution of muscles, adipose tissues, testes as well as ovaries and the material of these organs is made available to the parasitoid. Hence, parasitoid grows at the expense of host tissues. Keywords: Leptocoris augur, Hexamermis vishwakarma, Haemolymph, Free fatty acids, Parasitoid
A Note on the Autonomy of Sport
Authors:   Assistant Professor of Law, Damodaram Sanjivayya National Law University, Sabbavaram, Visakhapatnam, Andhra Pradesh, India – 531035, Bayola Kiran Poosarla
Published: July 2022

Sport today is a world of commerce far from its humble origins as a recreational unifying activity. The age-old notion that sport should not be open from regulation by entities/persons outside sport, especially the state, are being challenged by the own making of the sport. The principle of ‘Autonomy of Sport’ has undergone changes to an extent that today we have a branch of law referred as ‘Sports Law’. The change in part is a making of the constituents of the sport (regulatory) bodies viz., organisations, associations, federations. The improper and in some cases the arbitrary working of these institutions demanded an intervention by the state and courts to streamline the governance of sport. This paper is an attempt to understand the autonomy of sport in terms of governance and the principles to be followed
Challenges and Support during Project Stage: A Case Study of Women Entrepreneurs of Udupi District
Authors:   Professor, PG Dpt. Of Commerce, Karnatak University Dharwad, Shiralashetti A S , Poojari Lata ,   Assistant Professor, Dpt. Of Commerce, Govt. First Grade College, Byndoor
Published: July 2022

Women entrepreneurs are the women who initiate a business, gather all resources, take risks, face challenges, provide employment to others, and manage the business independently. "Women Entrepreneurship” means an act of business ownership and business creation that empowers women economically in a position in society. Women entrepreneurship provides effective framework for sustainable development of the country. It helps in sustainable revitalization of GDP of a country by generating the employment. Women Entrepreneurship needs to be encouraged, prompted and supplemented by the benefit of the aggregate economy of the country. In this study, the researcher attempted to examine challenges faced and support received by the women entrepreneur during project stage in the district of Udupi. The research paper is based on the primary data. The collected data is analysed using Simple Percentage Method, Ranking Method. The study found that very few women entrepreneurs have professional qualification and have received formal training. Furthermore, most women were housewives prior to entering the business and lacked practical experience. The majority of women entrepreneurs have experienced difficulties with finance, meeting regulatory standards, and technical difficulties, including project reports, and have benefited from support from family members, particularly spouses. Keywords: Women Entrepreneurs, Challenges, Support, Start-up Problems, Project Planning
Validación del manejo de Neochavesia caldasiae (Balachowsky, 1957) Hemiptera: Rhizoecidae en Fredonia, Antioquia.
Authors: Gil Palacio Zulma , Arcila-Moreno Aníbal , Márquez Juan Sebastián , Ospina-Penagos Carlos , Mejía Silvia Elena , Benavides Machado Pablo
Published: July 2022

La cochinilla Neochavesia caldasiae (Balachowsky, 1957) (Hemiptera: Rhizoecidae) está presente en los cafetales de Colombia desde hace más de noventa años, cuando se reportó en el municipio de Amagá en Antioquia en 1928. Este insecto se considera plaga de importancia económica del cultivo de café; el control ha sido difícil e ineficaz, a tal punto que en las localidades donde la cochinilla es endémica, los productores han sustituido el café por otros cultivos como pastos y caña de azúcar. Por lo tanto, el objetivo del presente trabajo fue validar el manejo de N. caldasiae a través de Investigación Participativa con Agricultores (IPA). En esta implementación se procedió a renovar un cafetal severamente infestado por este insecto, usando plantas indicadoras y muestreos destructivos para determinar el momento oportuno para aplicar insecticidas de manera localizada durante el establecimiento del cafetal. Adicionalmente, se validó el manejo en una plantación establecida de seis meses. Los resultados permitieron demostrar que las plantas indicadoras sirven para conocer el momento inicial de ataque del insecto a las raíces de café y que la aplicación localizada en drench de insecticidas eficaces, máximo en tres momentos, fue suficiente para reducir las poblaciones de N. caldasiae y establecer un cafetal con buen desarrollo fisiológico y productivo. En el cafetal de seis meses se requirió tan solo una aplicación para controlar esta plaga. Se concluye que es posible controlar N. caldasiae en las condiciones de la caficultura colombiana.
Rotational Variation Allows for Narrow Age Spread in the Extended Main-sequence Turnoff of Massive Cluster NGC 1846
Authors: Lipatov Mikhail , Brandt Timothy D. , Gossage Seth
Published: July 2022

The color–magnitude diagrams (CMDs) of intermediate-age star clusters (≲2 Gyr) are much more complex than those predicted by coeval, nonrotating stellar evolution models. Their observed extended main-sequence turnoffs (eMSTOs) could result from variations in stellar age, stellar rotation, or both. The physical interpretation of eMSTOs is largely based on the complex mapping between stellar models—themselves functions of mass, rotation, orientation, and binarity—and the CMD. In this paper, we compute continuous probability densities in three-dimensional color, magnitude, and

v

e

sin
i

space for individual stars in a cluster’s eMSTO, based on a rotating stellar evolution model. These densities enable the rigorous inference of cluster properties from a stellar model, or, alternatively, constraints on the stellar model from the cluster’s CMD. We use the MIST stellar evolution models to jointly infer the age dispersion, the rotational distribution, and the binary fraction of the Large Magellanic Cloud cluster NGC 1846. We derive an age dispersion of ∼70–80 Myr, approximately half the earlier estimates due to nonrotating models. This finding agrees with the conjecture that rotational variation is largely responsible for eMSTOs. However, MIST models do not provide a satisfactory fit to all stars in the cluster and achieve their best agreement at an unrealistically high binary fraction. The lack of agreement near the main-sequence turnoff suggests specific physical changes to the stellar evolution models, including a lower mass for the Kraft break and potentially enhanced main-sequence lifespans for rapidly rotating stars.
Flaring-associated Complex Dynamics in Two M Dwarfs Revealed by Fast, Time-resolved Spectroscopy
Authors: Wang J. , Li H. L. , Xin L. P. , Li G. W. , Bai J. Y. , Gao C. , Ren B. , Song D. , Deng J. S. , Han X. H. , Dai Z. G. , Liang E. W. , Wang X. Y. , Wei J. Y.
Published: July 2022

Habitability of an exoplanet is believed to be profoundly affected by activities of the host stars, although the related coronal mass ejections (CMEs) are still rarely detected in solar-like and late-type stars. We here report an observational study on the flares of two M dwarfs triggered by the high-cadence survey performed by the Ground-based Wide Angle Camera system. In both events, the fast, time-resolved spectroscopy enables us to identify symmetric broad Hα emission with not only a nearly zero bulk velocity, but also a large projected maximum velocity as high as ∼700–800 km s−1. This broadening could be resulted from either the Stark (pressure) effect or a flaring-associated CME at the stellar limb. In the context of the CME scenario, the CME mass is estimated to be ∼4 × 1018 and 2 × 1019 g. In addition, our spectral analysis reveals a temporal variation of the line center of the narrow Hα emission in both events. The variation amplitudes are at tens of kilometers per second, which could be ascribed to the chromospheric evaporation in one event, and to a binary scenario in the other one. With the total flaring energy determined from our photometric monitor, we show a reinforced trend in which the larger the flaring energy, the higher the CME mass is.
Successful intraventricular colistin treatment in resistant Klebsiella pneumoniae meningitis
Authors: İşeri Nepesov Merve , Kılıç Ömer , Dinleyici Ener Çağrı
Published: July 2022

Meningitis due to resistant microorganisms after neurosurgical intervention progresses with significant morbidity and mortality. Treatment is difficult as the antibiotics available for this purpose as well as their transition to the cerebrospinal fluid are limited. Due to the inability of the intravenously administered colistin to cross the blood–brain barrier sufficiently, intraventricular colistin application is recommended in the treatment of meningitis. Herein we report successful treatment with intraventricular colistin of an infant with ventriculoperitoneal shunt-related meningitis due to extended spectrum β-lactamase-producing Klebsiella pneumoniae. The infant lacked clinical response despite effective intravenous antibiotic therapy. Intrathecal/intraventricular colistin can be an effective alternative in the treatment of resistant Gram-negative bacilli meningitis.
Epidemiological study of human brucellosis among febrile patients in Erbil-Kurdistan region, Iraq
Authors: Almashhadany Dhary Alewy , Fetehallah Zefenkey Zean , Naji Ahmed Odhah Mohammed
Published: July 2022

Introduction: Human brucellosis is one of the most common zoonosis infections, with an important impact on the health and economy worldwide. This study aimed to update and provide epidemiological information on this infection and evaluate Rose Bengal Test, which is used as an essential diagnostic test for brucellosis in Erbil.

Methodology: A total of 325 participants seeking care and reporting fever at Rizgary Teaching Hospital were enrolled. Blood samples were tested for Brucella spp. antibodies using Rose Bengal Test and blood culture followed by species identification. A questionnaire was administered to detect the risk factors.

Results: The prevalence of probable and confirmed brucellosis was 12.3% (95% CI 9.2–16.3) and 9.5% (95% CI 6.8–13.2) respectively. The majority of cases were in the age group of 18-39 years. Brucellosis was significantly associated with raw milk consumption (OR = 10.3 95% CI 5-22.4) and contact with livestock (OR = 11.5 95% CI 5.6-23.9). Brucella melitensis (58.1%) and Brucella abortus (41.9%) are the dominant species in the area. The sensitivity, specificity, positive predictive value, and negative predictive value of the Rose Bengal Test in comparison to the blood culture were 100%, 96.9%, 77.5 %, and 100% respectively.

Conclusions: Brucellosis is a significant cause of fever in Erbil and could be diagnosed by the Rose Bengal Test taking into account the compatibility of clinical features with the positive result. The vaccination of livestock and boiling or pasteurization of milk are essential procedures to reduce the frequency of human brucellosis.
Prevalence of SARS -CoV-2 IgG/IgM antibodies among patients in Zakho City, Kurdistan, Iraq
Authors: Saeed Ali Yahya , Assafi Mahde Saleh , Othman Hemin Esmael , Shukri Hogir Mohammed
Published: July 2022

Introduction: In 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the agent of Coronavirus Disease 2019 (COVID-19), spread all over the world. This global pandemic spread rapidly to more than 195 countries and caused over 200 million infections with a mortality rate of 2%. This study aimed to detect seropositivity against the SARS-CoV-2 virus among outpatients, symptomatic and asymptomatic individuals.

Methodology: A total of 489 individuals of age 5-70 years (mean 38.0 ± 17 SD) were enrolled for a cross-sectional study. They were tested for presence of SARS‐CoV‐2 IgM/IgG antibodies in serum samples using Enzyme-linked Immunofluorescent Assay (ALFA).

Results: A higher seroprevalence was recorded for IgM among females (34.96%) than males (28.83%). In the case of IgG, and IgG + IgM, both males and females had similar values. A significant correlation was identified between seropositivity and age; higher seropositivity (IgG, IgM, and IgG + IgM) was recorded in age groups 51-60 and ≥ 61 years, relative to the younger age groups. No significant correlation was found between symptomatic and asymptomatic individuals. No significant correlation was detected between seropositivity and RT-PCR positive and negative cases.

Conclusions: COVID-19 is spreading rapidly and there is a high percentage of asymptomatic carriers. The sensitivity of RT-PCR tests is not uniform and may not be able to detect all cases. On the other hand, serology can be used for large scale testing to detect the real extent to which the disease has spread.
Possible relation between expression of circulating microRNA and plasma cytokine levels in cases of pulmonary tuberculosis
Authors: Ulger Mahmut , Serin Mehmet Sami , Tezcan Ulger Seda , Aslan Gonul , Ilvan Ahmet , Tiftik Eyup Naci , Emekdas Gurol
Published: July 2022

Introduction: Tuberculosis (TB) is a life-threatening infection and early diagnosis is critical for treatment and prevention of transmission. There is evidence of correlation between miRNA expression and cytokine regulation during TB infection. The aim of this study was to determine the relationship between expression levels of miRNAs in plasma and cytokine levels as a potential biomarker for genetic predisposition and/or early diagnosis of TB infection.

Methodology: The expression levels of 86 miRNAs were examined in plasma samples of 44 TB patients and 44 healthy controls by qRT-PCR using BioMarkTM 96.96 Dynamic Array (Fluidigm Corporation, South San Francisco, CA, USA) system. The levels of plasma TNF-α, IFN-γ, IL-1β, IL-4, IL-6, IL-8, IL-10, and IL-12/P40 were examined with ELISA.

Results: We identified dysregulation of 18 miRNAs which included upregulation of miR-1, miR-7-5p, miR-9-5p, miR-10a-5p, miR-10b-5p, miR-100-5p, miR-106b-5p, miR-128-3p, miR-133a-3p, miR-143-3p, miR-193a-5p, miR-200b-3p, miR-205-5p, miR-210-3p, and miR-296-5p, and downregulation of miR-15b-5p, miR-16-5p, and miR-25-3p in plasma samples of patients with pulmonary TB (p < 0.05). A significant correlation between the expression levels of miR-1, miR-7-5p, miR-9-5p, miR-10a-5p, miR-10b-5p, miR-15b-5p, miR-100-5p, miR-143-3p, miR-193a-5p, miR-200b-3p, miR-210-3p and cytokine levels of TNF-α, IFN-γ, IL-1β, IL-8 and IL-10 was identified (p < 0.05).

Conclusions: We demonstrated that altered expression levels of plasma miRNAs consistent with immunological response have the potential to serve as non-invasive biomarkers for early diagnosis of pulmonary TB. Additional investigations with larger sample sizes will be required to confirm our findings and to determine if miRNAs can be possible targets for TB management strategies.
Molecular mechanisms responsible for SARS-CoV-2 antibody waning and vaccine escape in Omicron sublineages BA.4 and BA.5
Authors: Hewins Benjamin , Richardson Christopher , Rubino Salvatore , Kelvin Alyson , Toloue Ostadgavahi Ali , Kelvin David J
Published: July 2022

Mutations in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome continue to threaten the global landscape of the coronavirus disease 2019 (COVID-19) pandemic. The Omicron variant (B.1.1.529) rapidly displaced previous ‘variants of concern’ (VoC) in 2021 due to its high rate of transmissibility and multitude of mutations. This global influx of infections saturated healthcare systems, overwhelmed testing capacity and case reporting, and increased the COVID-19 death toll. Global health leaders are now being faced with the most transmissible COVID-19 variants yet, the Omicron sublineages BA.4 and BA.5, which contain additional spike protein (S) mutations from previous Omicron and VoC serotypes. With universally observed antibody waning, increasing vaccine-variant mismatch, and resuming international travel, the stage is set for unprecedented levels of breakthrough infections and superspreading events. In this paper, we raise awareness to these novel variants and provide context for the high likelihood of an upcoming wave of infection capable of inflicting significant disease burden on a global scale.
Pattern Language as Support to Software Measurement Planning for Statistical Process Control
Authors: Brito Daisy Ferreira , Barcellos Monalessa Perini , Santos Gleison
Published: July 2022

The growing interest of organizations in improving their software processes has led them to aim at achieving high maturity, where statistical process control (SPC) is required. One of the challenges involved in performing SPC is selecting measures suitable for it. Measures used in SPC can be found in the literature and can be reused by organizations, but the information is dispersed, not favoring reuse. From measures suggested in the literature or used in practical experiences, it is possible to identify patterns that can be used to support organizations in measurement planning. Patterns can be organized as pattern languages, which favor reuse and contribute towards increasing productivity. In this work, from the results of a systematic mapping and a survey, we identified measurement planning patterns in the Goal-Question-Metric format and organized them in a Measurement Planning Pattern Language (MePPLa). MePPLa was created by following a Systematic Approach for creating Measurement Planning Pattern Languages (SAMPPLa), also defined in this work. This paper presents SAMPPLa, MePPLa and the main results of a study carried out to evaluate MePPLa. The results showed that using MePPLa is viable and useful to aid in software measurement planning. Mainly, MePPLa contributes to increasing productivity when creating a measurement plan and the quality of the resulting measurement plan.
Disassemble Byte Sequence Using Graph Attention Network
Authors: Qiu Jing , Dong Feng , Sun Guanglu
Published: July 2022

Disassembly is the basis of static analysis of binary code and is used in malicious code detection, vulnerability mining, software optimization, etc. Disassembly of arbitrary suspicious code blocks (e.g., for suspicious traffic packets intercepted by the network) is a difficult task. Traditional disassembly methods require manual specification of the starting address and cannot automate the disassembly of arbitrary code blocks. In this paper, we propose a disassembly method based on code extension selection network by combining traditional linear sweep and recursive traversal methods. First, each byte of a code block is used as the disassembly start address, and all disassembly results (control flow graphs) are combined into a single flow graph. Then a graph attention network is trained to pick the correct subgraph (control flow graph) as the final result. In the experiment, the compiler-generated executable file, as well as the executable file generated by hand-written assembly code, the data file and the byte sequence intercepted by the code segment were tested, and the disassembly accuracy was 93%, which can effectively distinguish the code from the data.
A Neuro-Fuzzy Hybridized Approach for Software Reliability Prediction
Authors: Kumar Ajay
Published: July 2022

Context: Reliability prediction is critical for software engineers in the current challenging scenario of increased demand for high-quality software. Even though various software reliability prediction models have been established so far, there is always a need for a more accurate model in today's competitive environment for producing high-quality software. Objective: This paper proposes a neuro-fuzzy hybridized method by integrating self-organized- map (SOM) and fuzzy time series (FTS) forecasting for the reliability prediction of a software system. Methodology: In the proposed approach, a well-known supervised clustering algorithm SOM is incorporated with FTS forecasting for developing a hybrid model for software reliability prediction. To validate the proposed approach, an experimental study is done by applying proposed neuro-fuzzy method on a software failure dataset. In addition, a comparative study was conducted for evaluating the performance of the proposed method by comparing it with some of the existing FTS models. Results: Experimental outcomes show that the proposed approach performs better than the existing FTS models. Conclusion: The results show that the proposed approach can be used efficiently in the software industry for software reliability prediction.
Editorial
Authors: Gütl Christian
Published: July 2022

Dear Readers

Welcome to the seventh issue in 2022. I am very pleased to announce the journal’s improved Scopus CiteScore of 2.7 and the Web of Science impact factor of 1.056 for 2021, indicating another scientifically successful year. On behalf of the J.UCS team, I would like to thank all the authors for their sound research contributions, the reviewers for their very helpful suggestions, and the consortium members for their financial support. Your commitment and dedicated work have contributed significantly to the long-lasting success of our journal.

In this regular issue, I am very pleased to introduce four accepted papers from four different countries and 11 involved authors.

Daisy Ferreira Brito, Monalessa P. Barcellos and Gleison Santos from Brazil address in their research a pattern language to support software measurement planning for statistical process control. More specifically, they use the Goal-Question-Metric format and organize it in a Measurement Planning Pattern Language. Ajay Kumar from India presents a hybridized neuro-fuzzy approach for software reliability prediction and validates the proposed approach by applying the neuro-fuzzy method to a software failure dataset. Jesus Serrano-Guerrero, Bashar Alshouha, Francisco P. Romero and Jose A. Olivas from Spain conduct a comparative study of affective knowledge-enhanced emotion detection in Arabic language. Jing Qiu, Feng Dong and Guanglu Sun from China propose and discuss a disassembly method based on a code extension selection network by combining traditional linear sweep and recursive traversal methods.
« Apostat, transgresseur de la Loi et intrus dans le vrai christianisme ». Racines confessionnelles et transculturelles de l’antipaulinisme des Lumières
Authors: Léchot Pierre-Olivier
Published: July 2022

L’antipaulinisme est un phénomène bien connu de l’histoire des idées religieuses, en particulier tel qu’il se développe à partir des Lumières. Ses racines intellectuelles, en revanche, demeurent encore aujourd’hui particulièrement floues. Pierre-Olivier Léchot propose de les rechercher non pas dans la libre pensée du xvii e  siècle ou la philosophie radicale des pré-Lumières mais bien dans les progrès de l’érudition protestante telle qu’elle se développe à partir de la fin du xvi e  siècle. Ce faisant, il met également en évidence l’importance de la découverte des sources extra-chrétiennes dans l’émergence de ce phénomène.
Facteurs clés pour comprendre le modèle de gestion de la crise de la Covid-19 par la Corée du Sud : dimensions scientifiques et politiques
Authors: Im Tobin
Published: July 2022

L’article présente de façon chronologique l’évolution de la pandémie de la Covid-19 en Corée du Sud et sa gestion par le gouvernement. Il met en relief les différentes étapes de cette crise et présente une analyse sur les clés d’une gestion de crise réussie fondée sur une action publique nourrie par les retours d’expérience et un contexte culturel mettant en avant la responsabilité.
Faire face à la crise : la Covid-19, un nouveau défi pour l’efficacité de l’action publique
Authors: Dumiot Victor , Sarlandie de La Robertie Catherine
Published: July 2022

Interroger les modalités de gestion de l’actuelle crise sanitaire, alors même que celle-ci se poursuit, suppose d’accepter la part d’indétermination toujours présente. Aucun gouvernement ni aucune organisation ne peut en effet se targuer d’avoir trouvé une formule unique et adaptée – si ce n’est au prix d’une restriction forte des libertés individuelles dans des sociétés déjà autoritaires. Aussi, l’objet de notre réflexion poursuit deux directions : d’une part, penser l’actuelle gestion de crise à la lumière de ce qu’elle a d’inédit et de ce qu’elle révèle de notre contemporanéité ; d’autre part, réfléchir à partir d’une étude locale sur les améliorations possibles de l’actuelle gestion de crise. Pour ce faire, nous avons mené des entretiens semi-directifs, entre autres, avec les responsables de la sécurité et de la gestion de crise au sein de la préfecture de l’Ain, ainsi qu’avec la Déléguée Territoriale de l’Agence Régionale de Santé. Ces entretiens nous permettent, par le truchement des regards, de mieux comprendre la spécificité de cette gestion ainsi que de souligner des pistes d’amélioration.
Impact du Covid-19 sur le pilotage des politiques publiques locales : quelles solutions pour quelles problématiques ?
Authors: Carassus David , Leblong-Masclet Gwenaël
Published: July 2022

La crise du Covid-19 met en évidence des problématiques managériales de différentes natures, qu’elles soient stratégiques, organisationnelles, informationnelles ou décisionnelles. Cette étude les analyse avant de proposer différentes solutions dans le cadre d’une amélioration des modes de pilotage des politiques locales. Ces solutions concernent alors des dimensions comportementales, instrumentales ou humaines, en mettant en jeu les collectivités locales, mais aussi l’ensemble de leurs parties prenantes, dont les habitants, les associations ou encore l’État. Un changement de paradigme y est avancé comme nécessaire, à travers quelques exemples, pour répondre aux mutations environnementales actuelles et à venir.
Les collectivités locales face à la crise de la Covid, entre révélation de fragilités et capacité d’agilité organisationnelle et d’innovation territoriale
Authors: Dupuis Jérôme , Marin Pierre
Published: July 2022

Prises dans la tourmente de la crise sanitaire de la Covid-19, les collectivités locales françaises ont su faire preuve d’agilité pour s’adapter et, ainsi, maintenir le service public à la fois en quantité et en qualité. Cette étude s’appuie sur plusieurs cas pratiques et des entretiens avec des cadres territoriaux afin de faire la lumière sur les leviers de l’agilité qui ont pu être mobilisés durant cette période, comme la modification rapide des processus de travail (en lien avec le télétravail) et des collaborations rapides et nouvelles entre les agents pour maintenir une relation de proximité avec les administrés.
Le management hospitalier à l’épreuve du Covid-19 : de l’épreuve des faits à l’épreuve de vérité
Authors: Vinot Didier
Published: July 2022

La pandémie du Covid-19 a fait apparaître une évidence oubliée depuis 20 ans : la santé ne peut pas être traitée comme un bien marchand, et donc, l’hôpital ne peut pas être géré comme une entreprise. L’événement conjoncturel que nous vivons doit mieux aider à penser un autre hôpital pour demain. Or, la problématique de l’hôpital est plus structurelle que conjoncturelle. Mais sur quelles bases pourraient être repensés ces principes ? Après un diagnostic des blocages structurels des hôpitaux, nous proposons les fondements d’un management hospitalier renouvelé par les valeurs du soin.
Le vaccin contre la Covid-19, un bien public mondial ? Une piqûre de rappel de la théorie du bien-être social aux biens communs
Authors: Huron David
Published: July 2022

L’objet de cet article est de montrer que le vaccin anti-covid-19 est un bien public mondial. Il sera étudié dans le cadre des théories pour la plupart économiques structurant le management public. Ainsi les théories du bien-être social (Bergson, 1938), des biens collectifs ou biens publics (Samuelson, 1954), des biens communs (Ostrom, 1990) et des biens publics mondiaux (Kaul et al. , 1999) seront mobilisées pour donner du sens à la qualification de bien public mondial pour les vaccins contre la pandémie que le monde traverse.
La pandémie du Covid-19 : Analyse de la crise et choix de politiques publiques favorisant la sortie de cette crise systémique
Authors: Barouch Gilles , Ponsignon Frédéric
Published: July 2022

Entre 2007 et 2016, huit crises graves et imprévues ont affecté la France. L’analyse réalisée par Barouch (2020) montre qu’il s’agit de crises systémiques et qu’elles ont deux causes communes. En 2020 est apparue la pandémie COVID-19, la pire crise sanitaire depuis la grippe espagnole de 1917-1918. Cet article examine si la crise du COVID 19 est également une crise systémique et si elle a des causes semblables aux crises qui l’ont précédée Sur la base de ces analyses, il fait des propositions pour gérer la sortie de la pandémie.
L’Écospiritualité, opium du peuple ou révolution intérieure pour une transition écologique ?
Authors: Barniaudy Clément , Delorme Damien
Published: July 2022

Les crises écologiques exigent une métamorphose intégrale des cultures capitalistes occidentales, y compris les dimensions ontologiques et éthiques ancrées dans la perception, les désirs, les affects et inscrites au cœur de pratiques subjectives élémentaires. L’écospiritualité s’inscrit dans cette perspective d’une écologie intégrale et transformatrice. Face aux crises écologiques, elle remet sur le métier la question largement discutée des rapports entre le spirituel et le politique. Dans cet article, nous examinerons les principales objections qui sont généralement adressées à l’écospiritualité dans une perspective d’écologie politique. Nous répondrons aux objections habituelles en montrant que l’écospiritualité n’est pas un substitut à l’action politique mais une condition préalable à un changement systémique efficace. À partir de l’exemple des pratiques écospirituelles du Bouddhisme Zen, nous soutiendrons que l’écologie spirituelle favorisent les conversions normatives et comportementales dont notre époque a désespérément besoin.
La validité du contenu expérientiel et épistémique de l’expérience spirituelle à travers la pensée transpersonnelle
Authors: Jiménez Romero Talia
Published: July 2022

Cet article analyse les bases épistémiques du paradigme transpersonnel liées à la question de l’expérience spirituelle. Spécifiquement, il présente l’idée de la thèse du tronc commun du mysticisme, qui affirme l’existence d’une unité commune à toutes les traditions mystiques et religieuses. Sous une perspective pérennialiste, l’expérience spirituelle est comprise comme un phénomène unitaire, transpersonnel et transcendant, qui est antérieur au langage. Cela implique une distinction entre le contenu de l’expérience et son interprétation. Pour le paradigme transpersonnel, cette thèse confère à l’expérience spirituelle une validité expérientielle et épistémique.
Efficient algorithms for scheduling equal-length jobs with processing set restrictions on uniform parallel batch machines
Authors: Li Shuguang
Published: July 2022

We consider the problem of scheduling jobs with equal lengths on uniform parallel batch machines with non-identical capacities where each job can only be processed on a specified subset of machines called its processing set. For the case of equal release times, we give efficient exact algorithms for various objective functions. For the case of unequal release times, we give efficient exact algorithms for minimizing makespan.
Investigation of fractal-fractional HIV infection by evaluating the drug therapy effect in the Atangana-Baleanu sense
Authors: Kongson Jutarat , Thaiprayoon Chatthai , Neamvonk Apichat , Alzabut Jehad , Sudsutad Weerawat
Published: July 2022

In this paper, we apply the fractal-fractional derivative in the Atangana-Baleanu sense to a model of the human immunodeficiency virus infection of CD$ 4^{+} $ T-cells in the presence of a reverse transcriptase inhibitor, which occurs before the infected cell begins producing the virus. The existence and uniqueness results obtained by applying Banach-type and Leray-Schauder-type fixed-point theorems for the solution of the suggested model are established. Stability analysis in the context of Ulam's stability and its various types are investigated in order to ensure that a close exact solution exists. Additionally, the equilibrium points and their stability are analyzed by using the basic reproduction number. Three numerical algorithms are provided to illustrate the approximate solutions by using the Newton polynomial approach, the Adam-Bashforth method and the predictor-corrector technique, and a comparison between them is presented. Furthermore, we present the results of numerical simulations in the form of graphical figures corresponding to different fractal dimensions and fractional orders between zero and one. We analyze the behavior of the considered model for the provided values of input factors. As a result, the behavior of the system was predicted for various fractal dimensions and fractional orders, which revealed that slight changes in the fractal dimensions and fractional orders had no impact on the function's behavior in general but only occur in the numerical simulations.
On the solution and Ulam-Hyers-Rassias stability of a Caputo fractional boundary value problem
Authors: Castro Luís P. , Silva Anabela S.
Published: July 2022

In this paper, we investigate a class of boundary value problems involving Caputo fractional derivative $ {{}^C\mathcal{D}^{\alpha}_{a}} $ of order $ \alpha \in (2, 3) $, and the usual derivative, of the form

   \begin{document}$ \begin{equation*} ({{}^C\mathcal{D}^{\alpha}_{a}}x)(t)+p(t)x'(t)+q(t)x(t) = g(t), \quad a\leq t\leq b, \end{equation*} $\end{document}

for an unknown $ x $ with $ x(a) = x'(a) = x(b) = 0 $, and $ p, \; q, \; g\in C^2([a, b]) $. The proposed method uses certain integral inequalities, Banach's Contraction Principle and Krasnoselskii's Fixed Point Theorem to identify conditions that guarantee the existence and uniqueness of the solution (for the problem under study) and that allow the deduction of Ulam-Hyers and Ulam-Hyers-Rassias stabilities.
Introduction to special section: Inequitable Ruptures, Rupturing Inequity: Theorizing COVID-19 and racial injustice impacts on International Service Learning pedagogy, frameworks and policies
Authors: Macdonald Katie , Vorstermans Jessica
Published: July 2022

This introduction to the special section, argues that this pandemic time has been one of ruptures which unveiled ongoing and intersecting social pandemics such as anti-Black and anti-Indigenous racism, white supremacy, patriarchy, classism, and ableism in the context of the COVID-19 global health pandemic (Brand, 2020). We proposed three ruptures as moments for imagining - and doing – otherwise: (i) the Black Lives Matter movement and increased mainstream attention to racial inequity, (ii) COVID-19 and new imaginings of travel, mobility, and safety (iii) mutual aid as increasingly necessary in a pandemic and as a possible relational way forward. We take these ruptures as a starting point for re-imagining learning and movement as relational. This introduction takes up a contextualization and conceptualization of the field of GSL, an overview of the critical literature in this space, and introduces the two articles in the special section. It ends with the hope that the grapplings and reckonings in this section will help scholars and practitioners think through this present moment and re-orient GSL in more just and equitable ways.