bluuebunny/crossref_metadata_2025 huggingface dataset:
Abrupt excursions in water vapor isotopic variability at the Pointe Benedicte observatory on Amsterdam Island
Authors: Landais Amaelle , Agosta Cécile , Vimeux Françoise , Magand Olivier , Solis Cyrielle , Cauquoin Alexandre , Dutrievoz Niels , Risi Camille , Leroy-Dos Santos Christophe , Fourré Elise , Cattani Olivier , Jossoud Olivier , Minster Bénédicte , Prié Frédéric , Casado Mathieu , Dommergue Aurélien , Bertrand Yann , Werner Martin
Published: April 2024

Abstract. In order to complement the picture of the atmospheric water cycle in the Southern Ocean, we have continuously monitored water vapor isotopes since January 2020 on Amsterdam Island in the Indian Ocean. We present here the first 2-year long water vapor isotopic record at this site. We show that the water vapor isotopic composition largely follows the water vapor mixing ratio, as expected in marine boundary layers. However, we detect 11 periods of a few days where there is a strong loss of correlation between water vapor δ18O and water vapor mixing ratio as well as abrupt negative excursions of water vapor δ18O. These excursions often occur toward the end of precipitation events. Six of these events show a decrease in gaseous elemental mercury, suggesting subsidence of air from a higher altitude. Our study aims to further explore the mechanism driving these negative excursions in water vapor δ18O. We used two different models to provide a data–model comparison over this 2-year period. While the European Centre Hamburg model (ECHAM6-wiso) at 0.9° was able to reproduce most of the sharp negative water vapor δ18O excursions, hence validating the physics process and isotopic implementation in this model, the Laboratoire de Météorologie Dynamique Zoom model (LMDZ-iso) at 2° (3°) resolution was only able to reproduce seven (one) of the negative excursions, highlighting the possible influence of the model resolution for the study of such abrupt isotopic events. Based on our detailed model–data comparison, we conclude that the most plausible explanations for such isotopic excursions are rain–vapor interactions associated with subsidence at the rear of a precipitation event.
Improving Risk Assessment of Subaqueous Landslides and Tsunami Generation by Understanding the Roles of Pore Pressure and Sediment Cohesion
Authors: Silver Maxwell M. W. , Reddy Elizabeth , Dugan Brandon
Published: April 2024

Abstract. Subaqueous landslides present a hazard to communities through their ability to damage infrastructure and generate tsunamis. Efforts to assess tsunami risk often depend on observations from prior events, such as volume of sediment remobilized, velocity of remobilized sediments, slope angle, and/or recurrence intervals. However, geology and hydrology are important factors in slope failure likelihood and tsunamigenic potential. Here physical experiments and natural observations demonstrate the importance of excess pore pressures and sedimentology (i.e., clay content) for assessing failure likelihood and tsunamigenic potential. The implications of excess pore pressure and clay concentration in future risk assessments are characterized. Excess pore pressure is identified as capable of lowering slope resistance to failure, triggering non-tsunamigenic slope failure, and preconditioning a slope for tsunamigenic failure. Excess pore pressures within slopes reduce slope stability and thus areas with excess pore pressures should be considered at increased risk. Bathymetric features such as pockmarks/craters and surface eruptions/mud volcanism are identified as past or present indicators of excess pore pressures. Clay concentration is identified as determining slope failure’s potential for generation of intact blocks, a requisite for tsunamigenic land sliding. Measurement of slope clay concentrations are shown to provide a first-order estimation of failure behaviour to be tsunamigenic. Overall, this work notes that understanding how a slope might be preconditioned for failure is a necessary input for a more holistic risk assessment.
Distribution characteristics of summer precipitation raindrop spectrum in Qinghai−Tibet Plateau
Authors: Wang Fuzeng , Huo Yao , Cao Yaxi , Wang Qiusong , Zhang Tong , Liu Junqing , Cao Guangmin
Published: April 2024

Abstract. To enhance the precision of precipitation forecasting in the Qinghai−Tibet Plateau region, a comprehensive study of both macro− and micro−characteristics of local precipitation is imperative. In this study, we investigated the particle size distribution, droplet velocity, droplet number density, Z (Radar reflectivity) − I (Rainfall intensity) relationship, and Gamma distribution of precipitation droplet spectra with a single precipitation duration of at least 20 minutes and precipitation of 5 mm or more at four stations (Nyalam, Lhasa, Shigatse, and Naqu) in Tibet during the recent years from June to August. The results are as follows: (1) In the fitting relationship curve between precipitation raindrop spectral particle size and falling speed at the four stations in Tibet, when the particle size was less than 1.5 mm, the four lines essentially coincided. When the particle size exceeded 1.5 mm, the speed in Shigatse was the highest, followed by Lhasa, and the speed in Naqu was the lowest. The falling speed of particles correlated with altitude. (2) The diameter of the six microphysical features at the four stations increased with altitude. (3) The Z−I relationships at the four stations exhibited variations. Owing to the proximity in altitude between Lhasa and Shigatse, as well as between Nyalam and Nagqu, the coefficients a and index b in the Z−I relationships of the two groups of sites were relatively similar. (4) The fitting curves of the M−P and Gamma distributions of the precipitation particle size at the aforementioned four stations are largely comparable. The M−P distribution fitting exhibits a slightly better effect. The parameter μ in Gamma distribution decreases with the increase of altitude, while N0 and λ in M−P distribution show a clear upward trend with altitude.
Tracing rate and extent of human induced hypoxia during the last 200 years in the mesotrophic lake Tiefer See (NE Germany)
Authors: Sirota Ido , Tjallingii Rik , Pinkerneil Sylvia , Schroeder Birgit , Albert Marlen , Kearney Rebecca , Heiri Oliver , Breu Simona , Brauer Achim
Published: April 2024

Abstract. The global spread of lake hypoxia, [O2] < 2 mg/l, during the last two centuries has a severe impact on ecological systems and sedimentation processes. While the occurance of hypoxia was observed in many lakes, a detailed quantification of hypoxia spread remained largely unquantified. We track the evolution of hypoxia and its controls during the past 200 yrs in lake Tiefer See (TSK; NE Germany) using 17 gravity cores, recovered between 10 and 62 m water depth in combination with lake monitoring data. Lake hypoxia was associated by the onset of varve preservation in the TSK, and has been dated by varve counting to 1918±1 at 62 m water depth and reached a lake-floor depth of 16 m at 1997±1. This indicates oxygen concentration to fell below the threshold for varve preservation at the lakefloor (>16 m). Sediment cores at 10–12 m depth do not contain varves indicating well oxygenation of the upper water column. Monitoring data show that the threshold for hypoxia at the depocenter is a period of five months of [O2] < 5 mgl   and two months of [O2] < 2 mgl . Detailed TOC, δ13Corg and XRF core scanning analyses of the short cores indicate that the depletion in DO started several decades prior to the varve preservation. This proves a change in the depositional conditions in the lake following a transition phase of several decades during which varve preservation was not accomplished. Furthermore, varve preservation does occur at seasonal stratification and not necessarily requires permanent stratification.
Mitigating Drought Financial Risk for Water Supply Sector through Index-Based Insurance Contracts
Authors: Gesualdo Gabriela C. , R. Benso Marcos , R. Navarro Fabrício A. , Castillo Luis M. , Mendiondo Eduardo M.
Published: April 2024

Abstract. Drought management strategies have primarily focused on structural measures, which are insufficient to prevent water supply disruptions and economic losses. In this concept, adaptation entails anticipating the negative financial consequences of extreme weather events and taking appropriate measures to prevent and mitigate them. As a result, insurance is a valuable adaptation measure for compensating unexpected losses and preventing financial damage from becoming long-term economic damage. We simulated indexed insurance for the Cantareira Water Supply System (CWSS). The system is responsible for providing water to 7.2 million people in the Metropolitan Region of São Paulo (MRSP). Our methodology consists of three steps: (1) describing the indexed variable, (2) computing economic losses depending on event magnitude, and (3) evaluating risk premiums for low, medium, and high coverage levels. According to our findings, an annual fee (premium) of USD 0.43, 0.87, and 1.73 should be charged per person to obtain drought coverage for 3, 6, and 12 months (low, medium, and high levels), respectively. These values account for 1.7 %, 3.4 %, and 6.7 % of the annual costs paid by CWSS-supplied users, accordingly. The premium fee can be incorporated into water bills as a novel technique to pool the risk between supplied users and the utility, thereby protecting them against surcharge fluctuations.
UPH Problem 20 – reducing uncertainty in model prediction: a model invalidation approach based on a Turing-like test
Authors: Beven Keith , Page Trevor , Smith Paul , Kretzschmar Ann , Hankin Barry , Chappell Nick
Published: April 2024

Abstract. This study proposes using a Turing-like test for model evaluations and invalidations based on evidence of epistemic uncertainties in event runoff coefficients. Applying the consequent “limits of acceptability” results in all the 100 000 model parameter sets being rejected. However, applying the limits, together with an allowance for timing errors, to time steps ranked by discharge, results in an ensemble of 2064 models that can be retained for predicting discharge peaks. These do not include any of the models with the highest (> 0.9) efficiencies. The analysis raises questions about the impact of epistemic errors on model simulations, and the need for both better observed data and better models.
Use of the HEC RAS model for the analysis of exceptional floods in the Ouémé basin
Authors: Amoussou Ernest , Amoussou Félix Toundé , Bossa Aymar Yaovi , Kodja Domiho Japhet , Totin Vodounon Henri Sourou , Houndénou Constant , Borrell Estupina Valérie , Paturel Jean-Emmanuel , Mahé Gil , Cudennec Christophe , Boko Michel
Published: April 2024

Abstract. The Ouémé River basin extends over almost half of Benin's territory, entirely located in a humid tropical climate. This river system includes a deltaic zone (delta of the Ouémé) known for its high agricultural potential and thus subject to a socio-economic development agenda. The Ouémé delta is facing recurrent floods that maintain rural agricultural population into a retrograding crisis with significant damages such as losses of properties. The objective of this study is to improve decision-making in the Ouémé basin through the simulation of exceptional floods using the HEC-RAS model. The HEC RAS model is a conceptual model, which works through mathematical and physical formulas to implement environmental phenomena for forecasting, understanding and analysis purposes. The model inputs used are basin GIS data, hydro-meteorological data, characteristics of existing hydraulic structures, etc. The targeted outputs include 1D/2D/3D view plans with support of satellite images, tables, graphs and curves. It is worth mentioning that the model provides outputs compatible with other tools, such as civil engineering (Civil 3D, Revit, Infraworks, etc.) and GIS, that help to expand the valorization fields. The implementation of the model in the Ouémé basin has made it possible to note: (i) that the recurring effect of losses and damages is justified by the settlement of the population on the river banks; (ii) that there is an important agricultural production in areas of high flood risk; (iii) that depending on the occurrence of the phenomenon, the flooded extent and the height of submersion remains variable, and more important for extreme flooding; (iv) about 12.07 % occurrence of river flood against 13.24 % for flash flood at a return period of 30 years. Moreover, it is very relevant to note that most of flood waters converge to the western part of the basin (an area with a low risk of flooding, stretched over 63.68 km2) and to the eastern part around the Damè-Wogon depression (an area at high risk of flooding, stretched over 10.49 km2).
Evaluating the skill of the mesoscale Hydrologic Model (mHM) for discharge simulation in sparsely-gauged basins in Nigeria
Authors: Ogbu Kingsley Nnaemeka , Rakovec Oldrich , Samaniego Luis , Okafor Gloria Chinwendu , Tischbein Bernhard , Meresa Hadush
Published: April 2024

Abstract. Predictive hydrologic modelling to understand and support agricultural water resources management and food security policies in Nigeria is a demanding task due to the paucity of hydro-meteorological measurements. This study assessed the skill of using different remotely sensed rainfall products in a multi-calibration framework for evaluating the performance of the mesoscale hydrologic Model (mHM) across four different data-scarce basins in Nigeria. Grid-based rainfall estimates obtained from several sources were used to drive the mHM in different basins in Nigeria. Model calibration was first performed using only discharge records, and also by using a combination of discharge and actual evapotranspiration, forced with different rainfall products. The mHM forced with CHIRPS produced reasonable Kling-Gupta efficiency KGE) results (0.5> KGE <0.85) under both calibration frameworks. However, constraining model parameters under a multi-calibration arrangement showed no significant discharge simulation improvement in this study. Results show the utility of the mHM for discharge simulation in data-sparse basins in Nigeria.
Estimation of expected annual damage, EAD
Authors: Rosbjerg Dan
Published: April 2024

Abstract. The sensitivity of expected annual damage, EAD, is analytically analysed by applying a log-linear relation between return periods and corresponding damages. It is found that the smallest return period for damage should be estimated as precisely as possible, that the percentage uncertainty in the damage estimate is transformed into the same percentage uncertainty in the EAD estimate, and that it is possible to extrapolate beyond the largest return period with corresponding damage assessment. The precision of the estimate of EAD is investigated in detail in the case of only few available data, and it is found that two different methods for numerical integration may result in strongly diverging results. By applying a piecewise log-linear damage function, it is shown that the log-linear model provides a trustworthy estimate of EAD, also in the case of few available data. Finally, the modifications needed in the special case of threshold exceedance data instead of annual maxima data are presented.
Estimating the water balance of a small reservoir in the Brazilian semiarid
Authors: Estácio Ályson B. S. , Vieira Leticia , Linhares Samiramisthais , Alves Rafaela , Rocha Renan , Martins Eduardo
Published: April 2024

Abstract. Small communities in semi-arid regions usually suffer from a lack of data to enable effective water management. This is the case for many rural communities in Brazil that rely on small reservoirs. The aim of this study is to extract information on water storage and water flows of Lagoa Cercada, a small reservoir in the Brazilian semi-arid region. Monthly data series of water levels and water quality were combined with remote sensing information to evaluate water storage in the reservoir. Inflow, withdrawal, and infiltration were calculated using water and salinity balance in the reservoir. The calculated capacity of Lagoa Cercada reservoir was 1.14 million cubic meters. However, using satellite imagery instead of drone imagery resulted in a 51 % difference in the estimation of storage capacity. Additionally, Lagoa Cercada's water withdrawal has not returned to the same amount as before the drought.
Comparative study from ground-based rain gauges vs. rainfall products at different time steps in the southeast of the Republic of Djibouti
Authors: Omar Golab Moussa , Paturel Jean-Emmanuel , Salles Christian , Mahé Gil , Jalludin Mohamed , Satgé Frédéric , Ismail Nour Mohamed , Hassan Hersi Abdillahi
Published: April 2024

Abstract. The Republic of Djibouti is a small country in the Horn of Africa and as for most regions of Africa, ground rainfall stations are sparse. This study aims to compare at different time steps (annual, monthly, and daily) 15 rainfall estimation products (P-datasets) to 5 reference ground-based rainfall stations, over the period of 1980–1990. To classify the reliability of these products, several metrics were considered, the Kling Gupta Efficiency (KGE) and the Heidle Skills Scores (HSS at daily time step). For the study area, 5 P-datasets present high KGE values at annual and monthly time step: EWEMBI, GPCC, JRA-55 Adj, MSWEP and WFDEI-GPCC; the best 5 performing products at daily time step are CHIRPS, EWEMBI, JRA-55 Adj, MSWEP and WFDEI-GPCC. To complete this comparative analysis, it will be necessary to perform an analysis at the watershed scale and on a new temporal window.
Design, synthesis and testing of oxazolidinone antimicrobials that target biofilms
Authors:   , Ndukwe Audrey Raluchukwu Nwanneka
Published: April 2024

Antibiotics are the treatment of choice for bacterial infections, but their loss of effectiveness presents a global public health issue. The threat from antimicrobial resistance not only lies in single-celled bacteria but in communities of bacteria that aggregate and form biofilms. Antibiotic development has primarily focused on single-celled bacteria with limited consideration of the role of biofilms on disease progression. Bacteria in biofilms are up to 1000 times more resistant to antibiotics than their single-celled counterparts causing relapsing infections that are challenging to treat. This thesis investigates strategies to develop the oxazolidinone antibiotic class as biofilm eradication agents using nitroxides.
Gaiacells. Una propuesta de solución habitacional al chabolismo desde el ámbito cooperativo agrícola. Aspectos socioeconómicos, tributarios y arquitectónicos
Authors: Luque Mateo Miguel Ángel , Rueda Guerrero Lourdes , Luque de Haro Víctor Antonio
Published: April 2024

El presente trabajo busca ofrecer una solución innovadora y original a la necesidad de alojamiento digno para los trabajadores agrícolas que habitan en chabolas e infraviviendas desde una perspectiva multidisciplinar (socioeconómica, jurídico-tributaria y arquitectónica) sobre la base de los denominados Núcleos de Alojamientos Transitorios de Integración, posibilitando la financiación de su implementación desde el sector cooperativo agrícola, mediante el fondo de educación y promoción, en cumplimiento del principio cooperativo de interés por la comunidad y las exigencias de la responsabilidad social corporativa y la cadena de valor. La materialización de este objetivo en colaboración con instituciones y entidades del Tercer Sector permitiría a las cooperativas acogerse a los amplios beneficios fiscales contenidos en la Ley de Régimen Fiscal de Entidades Sin Ánimo de Lucro, además de reforzar la productividad, la integración social y la imagen de la industria agrícola española. La propuesta incluye un diseño arquitectónico basado en la técnica constructiva aplicada en los domos de superadobe, destinado a dar alojamiento y servicios a 500 personas en una manzana formada por diferentes grupos de edificaciones bioclimáticas de calidad, sencillas, de bajo coste y rápida construcción, que cubren todos los parámetros necesarios en cuanto a salubridad, seguridad, eficiencia energética y térmica, medidas anti-incendios y alta resistencia sísmica, adaptables a diversas necesidades, lo que convierte a este modelo en una solución al problema de la vivienda en general. Precisamente, las características de sostenibilidad, estética e inclusión de la propuesta la han hecho merecedora del apoyo de la Comisión Europea, a través de las iniciativas locales de la Nueva Bauhaus Europea.
Ana Metal Sektörü İşletmelerinde Finansal Etkinlik Ölçümü
Authors: KOÇYİĞİT Murat
Published: April 2024

This study aims to measure the financial efficiency of the basic metal sector firms traded on the BİST for the time period 2020-2022. In this paper, Data Envelopment Analysis method is used for financial efficiency measurement. Input oriented (CCR) and (BCC) models were used in data development analysis.. In the data envelopment analysis, financial ratios were used as input and output variables. The financial ratios were calculated using the financial statements of the firms announced on the Public Disclosure Platform. The results show that out of 12 firms, 9 are efficient in 2020, 10 in 2021 and 7 firms in 2022 in the CCR model, while in the BCC model, 12 firms are efficient in 2020, 11 in 2021 and 10 firms in 2022. According to the results of the data envelopment analysis, the average financial efficiency of the basic metal sector firms is 72.22% in the CCR model and 91.67% according to the BCC model. The results of the analysis show that almost all of the basic metal sector firms investigated are fully efficient. Keywords: Basic metal sector, Financial ratios, Efficiency, Data Envelopment Analysis.
Volume-Responsiveness Guided Hemodynamic Resuscitation with Passive Leg Raise by a Swan-Ganz Catheter and Point-Of-Care Echocardiogram in a Case of Mixed Shock
Authors: L M de Oca Erick Josue , Montelongo Felipe de J , Ortega Alan AR , Vera Mauricio R , Medina Luis E S , de la Cruz Josafat J G , Meza Margarito C , Ayala Jonathan G , Mendoza Alfonso A S , Dominguez Aurea C , Flores Carlos G B , Suarez Roberto F , Beltran German N , Reyes Nicolas H
Published: April 2024

Literature does not report hemodynamic monitoring through the Swan-Ganz catheter as a dynamic variable to evaluate the response to volume. Furthermore, it does not compare it with a point-of-care echocardiogram as an alternative non-invasive monitoring method. Therefore, we present the case of a 64-year-old man admitted to the Intensive Care Unit in shock, clinically associated with sepsis with a source of infection at the pulmonary level. However, during his stay in the Unit, invasive monitoring was performed with a thermodilution catheter in the pulmonary artery, as well as an echocardiogram monitoring which showed the presence of severe myocardial dysfunction in a hyperdynamic state. Resuscitation was initiated by measuring cardiac output by thermodilution and ultrasonography. This dynamic helped to assess the volume responsiveness by raising the leg passively, which showed that the patient was non-responsive. Management was focused on serial monitoring and use of an inotropic drug, presenting a marked clinical improvement until the resolution of the pathological state and the subsequent release from intensive care due to the patient’s condition improves.
The STEMI Pharmaco-Invasive Therapy in Africa: Bridging the Gap
Authors: Edafe Emmanuel Auchi , Akpa Maclean Romokere , Shehu Muhammad Nazir
Published: April 2024

Introduction: The pharmaco-invasive therapy, refers to the technique whereby there is a time elapse of 3-24 hours between thrombolysis (pharmaco) and PCI (invasive) when using fibrin specific thrombolytic agents. The aim of this study was to evaluate 74 patients with STEMI over 5-year period who were treatment with pharmaco-invasive therapy in 3 PCI centers in Nigeria. Methods: This was a retrospective observational study. Three cardiac catheterization laboratories cases were searched. These cardiac catheterization laboratories included Bayelsa specialist Hospital, Yenagoa, Cardiocare Multispecialty Hospital, Abuja and Save a Life Mission Hospital, Port Harcourt, Rivers. These cases of pharmacoinvasive therapy from 1st of January 2018 to 28th February, 2023 were included. The data analysis was done with SPSS version Results: There were 74 patients who had STEMI and underwent pharmacoinvasive therapy for the period. There were 38 males. The mean age of STEMI for both men and women 62.5 ± 12.6.The drugs used were Streptokinase, Alteplase and Tenecteplase.
The Implementation of Nursing Diagnosis Based on Indonesian Nursing Diagnosis Standard: Retrospective Study
Authors: . Anggariswa , . Yuswardi , . Fikriyanti
Published: April 2024

Nursing documentation provides evidence of patient care quality and facilitates efficient communication between healthcare providers. Although it has been discussed extensively in various scholarly article, there is still diversity in formulating nursing diagnoses nursing documentation in Indonesia persists as a challenge. The objective of this study is to describe the implementation of nursing documentation is being implemented following Indonesian nursing diagnosis standards in the inpatient ward. A quantitative design with a retrospective approach was used, in which 225 medical records from Banda Aceh hospitals, were obtained and assessed. The Nursing documentation were randomly selected based on hospital stay of more than 3 days. The instrument for collecting the data from the patient progress notes used an observations form. The data were analysed using univariate statistics. The results revealed that the implementation of nursing documentation following Indonesian nursing diagnosis standards in the inpatient ward was sufficient category (54.7%). The continuous direction, control, and evaluation of nursing activities and documentation should be done by a nurse manager. It is important to maintain good quality in nursing activities to enhance patient satisfaction, safety, and cost-effectiveness photoaging.

Keywords: Nursing Documentation, Nursing Diagnosis, Indonesian
The Use of Politeness Strategy and The Influence Factors in Political Talk Show
Authors: Haryanto Haryanto , Indriani Novita , Safar Muh. , Fansiska Fini Widya , Dewi Dyah Utami
Published: April 2024

Maintaining etiquette in speech acts is a part of politeness strategies conducted in communication. This study aimed to describe the use of politeness strategies and the influence factors found in the political talk show of Mata Najwa. The research method employed a descriptive qualitative one as proposed by Brown and Levinson’s four politeness strategies. Face is indicated as an inherently political element in the theory of Goffman. The data is a dialogue transcription taken from Mata Najwa YouTube.on 18 October 2023. The techniques of collecting data were documentation by watching, listening, transcribing, reviewing the transcription, and selecting the speakers’ utterances. The data analysis involved identifying, and classifying utterances based on politeness strategies, analyzing frequency, interpreting the data, and drawing conclusions. The analysis of 193 utterances showed that 114 of them had positive politeness strategy data (59%), 34 had bald-on politeness strategy data (17,6%), 24 had negative politeness strategy data (12,4%), and 21 had off-record politeness strategy data (17,6%). The positive politeness method is the most commonly employed tactic. It suggests that the inclination toward familiarity between speakers and listeners as well as the sentiment to reveal people's individuality by lowering FTA in each phrase is generated by particular factors. That becomes a point for speakers to build and maintain relationships.
An Intertextual Analysis of “Menombak Matahari”, “Sarpakuda”, and Babad Mangir Suradipura
Authors: Sulthan Faqih , Wiajayatiningsih Testiana Deni
Published: April 2024

The creation of a new text is highly influenced by previous texts, known as intertextual relationships. For instance, the short stories "Menombak Matahari" and "Sarpakuda" portray the resistance of Ki Ageng Mangir and the agony of Putri Pambayun, and are likely inspired by preexisting texts. This research examines the intertextual relationship between these two short stories and Babad Mangir from Suradipura, an old literature, as modern literary works. A comparative and an intertextual approach have been used to achieve this goal. By comparing the textual data of the short stories and the text of Babad Mangir Suradipura, it is evident that both short stories use Babad Mangir as a source of inspiration but develop their conflicts differently while still using traditional themes.
The effect of e-WOM on purchase intention in e-commerce in Indonesia through the expansion of the information adoption model
Authors: Prasetio Adhi , Witarsyah Nadiya Aulia , Indrawati Indrawati
Published: April 2024

Technological advancements in Indonesia have been on the rise, and the advent of technology has brought about significant changes in various aspects of society. The integration of technology into human life has greatly enhanced various activities, making information exchange and communication more accessible. As we observe the continuous evolution of technology, it has created new business prospects for companies to harness the power of the internet in providing online shopping services that connect consumers, service providers, and intermediary traders. E-commerce has emerged as a vital platform supporting commercial transactions via the internet. Prior to making a purchase, consumers frequently turn to social media for product reviews, where electronic word of mouth enables users to share their product-buying experiences. This study seeks to investigate the impact of user-generated information through electronic word of mouth on purchase intentions within the e-commerce landscape of Indonesia, utilizing the Information Acceptance Model (IACM). Employing a causal descriptive research approach, this study targeted e-commerce users in Indonesia, with 155 respondents participating. Data collection was carried out through Google Forms, and the collected data was analyzed using SmartPLS 3. Hypothetical testing included t-tests, p-tests, and path coefficient assessments. The study's findings revealed that variables such as information quantity, information needs, attitudes toward information, information usability, and information adoption all play a significant role in influencing purchase intentions, while information quality and information credibility had no discernible impact on purchase intentions.
Bayesian semi-shared temporal modeling: A comprehensive approach to forecasting multiple stock prices
Authors: Setyanto Gatot Riwi , Jaya I Gede Nyoman Mindra , Kristiani Farah
Published: April 2024

Stock prices of different companies frequently display similar temporal fluctuations because of common influencing factors. Accurate prediction of stock prices is of utmost importance for investors in determining their investment strategies. Utilizing multivariate forecasting, which involves analyzing multiple time series, has been shown to be highly effective and efficient when applied to stocks that exhibit similar temporal patterns. It is possible to model the relationship between shares by using a shared temporal model approach. Nevertheless, it is important to note that not all stocks selected for prediction demonstrate a strong correlation; certain stocks may deviate from expected patterns. Therefore, the direct implementation of a comprehensive shared temporal component model is not universally applicable. This study presents a new method called the Semi-Shared Temporal Model, which focuses on the correlation structure among variables that have similar patterns, while also modeling all stocks simultaneously. This methodology is applied to the three leading stocks of 2023: Amazon (AMZN), Alphabet (GOOG), and MercadoLibre (MELI). Based on monthly data collected from January 2010 to December 2023, the study forecasts the stock prices for the months of January to December 2024. The analysis findings suggest that the temporal patterns of AMZN and GOOG shares are highly similar, which supports the idea of modeling them together with shared temporality. Three forecasting methods are utilized: univariate models, full shared temporal models, and semi-shared temporal models. The analysis determines that the semi-shared temporal model approach produces the most precise forecasting outcomes, with a Mean Absolute Percentage Error (MAPE) of 17.97%, surpassing both univariate and full shared temporal models. The forecast for 2024 indicates a favorable trajectory for all three stocks.
The influence of social media, big data, and data mining on the evolution of organizational behavior: Empirical study in Jordanian telecommunication sector
Authors: Mansour Ayman , Harahsheh Faraj , Wazani Khalid W. , khasawneh Mohammad , AlTaher Bassmah B.
Published: April 2024

The aim of this study was to evaluate the impact of social media, big data, and data mining on the development of organizational behavior within the telecommunications industry in Jordan. The main objective of this study was to investigate the effects of technological components on the alteration of organizational behavior in the communications sector of Jordan. To accomplish this objective, a thorough empirical investigation was undertaken, encompassing the collecting of data from key stakeholders within the telecommunications sector in Jordan. A sample size of 412 participants, encompassing people from diverse roles within the communications sector, was chosen for the purpose of this study. The participants' replies and perspectives were gathered via the administration of surveys and conducting interviews, resulting in a comprehensive data set suitable for analysis. This study investigated the intricate relationship between the utilization of social media, the application of big data analytics, and the implementation of data mining techniques in influencing the dynamics of organizational behavior. The study's results underscored the substantial impact that social media platforms have on communication patterns and collaboration within telecommunication firms. Furthermore, the utilization of big data analysis has emerged as a significant catalyst for the enhancement of informed decision-making processes, exerting influence on diverse facets of organizational behavior, including strategic planning, employee engagement, and customer interactions. Data mining techniques have been identified as having a crucial function in extracting significant patterns and trends from extensive datasets, hence helping to the improvement of organizational learning and adaptation. The research findings indicated that the incorporation of social media, big data, and data mining technologies had a beneficial effect on the development of organizational behavior within the telecommunications industry in Jordan. The findings underscore the importance for enterprises to proactively utilize these technologies to cultivate a work environment that is characterized by increased agility, responsiveness, and collaboration. This study provides significant contributions to the subject of organizational behavior by examining the impact of social media, big data, and data mining within the specific context of the telecommunication sector in Jordan. The research sheds light on the transformative consequences of these technological advancements. The consequences of these findings have broad relevance for organizational leaders, politicians, and researchers, serving as a basis for further investigations in the dynamic realm of technology-driven organizational behavior.
Analyzing the use and benefits of green communication in higher educational institutes
Authors: Alam Mohammad Zulfeequar , Ahmad Tameem , Abunar Salah , Naseem Md.
Published: April 2024

In India, higher education institutions (HEIs) are realizing the value of green interaction, which includes using social media (S.M.) in an environmentally responsible manner. However, there needs to be more consistency on the adoption's present status, the particular tactics used, and the advantages that follow. The current research investigates the various aspects of sustainable communication and its benefits in HEIs throughout India. Through a questionnaire approach, the research enrolled learners across India. The study model's conceptual structure was validated, and its assumptions were proven through the implementation of a quantitative survey. The number of accepted samples was calculated using a conceptual model, and data analysis was performed using the structural equation model (SEM). There were 500 respondents in the study, ranging in age and academic degree and from different institutions of higher learning. The age range of 280 women and 220 men was 80% between 19 and 28. Respondents employed prominent S.M. sites (Twitter, LinkedIn, and Facebook) with purpose and had robust computer abilities. The results demonstrated that inspiration for employing S.M., S.M. characteristics, and information exchange had a favorable impact on students' opinions of user-friendliness and the benefits of digital learning platforms, raising their adoption of them. The research strategy in this investigation delivers suggestions for additional exploration into how HEIs in India may maximize the advantages and utilization of digital learning systems and can be an efficient structure for similar study ventures.
Antecedents of information and communication technology adoption among organizations: Empirical study in Jordan
Authors: Masadeh Raed , Majali Salwa AL , Almajali Haya , AlAmayreh Esraa Mohammad , Thurasamy Ramayah , Almajali Dmaithan
Published: April 2024

This research investigates the adoption of Information and Communication Technology (ICT) by Micro, Small, and Medium-Sized Corporations (MSMEs) in Jordan. The research formulates and examines hypotheses on factors affecting ICT adoption morals via the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Technology Acceptance Model (TAM). The suggested concept, which utilizes Structural Equation Modelling (ESM), highlights the critical responsibilities that social influence and perceived utility play in affecting choices to adopt ICT. It is noteworthy that MSMEs confront a multiple of obstacles when it comes to adopting ICT, encompassing restrictions in terms of infrastructure and resources, shortages of human capital, and hardships in the technology environment. Data were gathered from 305 MSMEs, and outcomes shed light on important factors to boost the impact of ICT integration in the special setting of Jordanian MSMEs.
The role of artificial intelligence and public relations in reputation management: A structural equation modelling-based (SEM) study
Authors: Jeljeli Riadh , Farhi Faycal , Setoutah Samira , Lagha Faten Ben , Mohsen Mehran , Mallek Mohamed
Published: April 2024

Reputation management is of more significant consideration for organizations across the globe. However, for relevant purposes, Public Relations accompanied by Artificial Intelligence further play a significant role. Mainly supported by the social exchange theory, this study also focuses on Public Relations practices and Artificial Intelligence as facilitating the pathway to reputation management for online retail organizations in the United Arab Emirates. The researchers selected a sample of n= 330 individuals and analyzed it using Structural Equation Modelling to test the proposed conceptual model. Results revealed that Public Relations practices significantly affect Competitive Value, Online Communication, and Behavior Change. Besides, the effect of Artificial Intelligence on Competitive Value, Online Communication, and Behavior Change also remained significant. Further, the three relevant factors (Online Communication and Behavior Change) significantly affect reputation management, indicating the overall effect of PR practices and AI on reputation management in online retail organizations in the UAE. Hence, it is concluded that PR practices and AI technology have a substantial role in ensuring reputation management. Besides, factors including Competitive Value, Online Communication, and Behavioral Change have a positive role in reputation management, further ensuring attaining the organizational goals. Finally, the researchers discussed the results and highlighted the theoretical implications accordingly.
The effect of using augmented reality technology in developing imaginative thinking among students with learning difficulties
Authors: Alkhasawneh Tareq , Khasawneh Mohamad Ahmad Saleem
Published: April 2024

The primary objective of this research was to find out how using augmented reality technology in the Abha Governorate affected children with learning disabilities' ability to think creatively. A cohort of students associated with educational establishments in the Governorate of Abha was the subject of a study. The study was given a month's duration. The study involved thirty students in all, fifteen of whom were each from the experimental and control groups. The experimental group did better on post-tests assessing initial imagination, perceptive imagination, and transformative imagination than the control group, indicating a significant improvement in the study's results. There was no statistically significant difference between the experimental group and the control group's scores on imaginative thinking during the follow-up evaluation or in the immediate post-intervention period.
The impact of using types of artificial intelligence technology in monitoring tax payments
Authors: Zaqeeba Nidal , Alqudah Hamza , Alshirah Ahmad Farhan , Lutfi Abdalwali , Almaiah Mohammed Amin , Alrawad Mahmaod
Published: April 2024

This study examines the relationship between the types of Artificial Intelligence (AI) technology employed and monitoring tax payments. A thorough literature review is conducted to examine different AI technologies in the context of tax administration. These include machine learning algorithms (MLA), natural language processing (NLP) technology, robotic process automation (RPA), explainable artificial intelligence (XAI), and advanced data analytics techniques (DAT). A variety of technologies, such as big data analytics, task automation, task automation, unstructured data analysis, and predictive modeling, are available to improve tax payment monitoring procedures. Recommendations for further study to expand our knowledge and use of AI in tax payment monitoring are included, along with the consequences of AI adoption for tax authorities, policymakers, and practitioners.
Investigating the role of digital transformation and digital innovation on school performance
Authors: Kamaruddin Erdawaty , Salman Ibnu , Annahidl Nunu Ahmad , Munawiroh Munawiroh , Siswanto Heni Waluyo , Siregar Imran , Suprapto Suprapto , Habibullah Ahmad , Purwoko Dwi , Haudid Haudid , Purwanto Agus
Published: April 2024

This research aims to analyze the relationship between digital transformation and school performance and the relationship between digital innovation and school performance. The research method is quantitative through surveys, research data was obtained by distributing online questionnaires to 489 high school teachers throughout Indonesia who were selected using a simple random method. Data analysis used covariance-based structural equation modelling (CB-SEM) with SmartPLS 4.0 software to analyze research data. The independent variables are digital transformation and digital innovation, and the dependent variable is school performance. The stages of data analysis are validity testing, reliability testing, model fit testing and significance testing of hypothesis testing. The results of this research are that digital transformation has a positive and significant relationship with performance. Moreover, digital innovation has a positive and significant relationship to performance. The findings of this research support and prove the results of previous research that digital transformation has a positive effect on organizational performance and innovation and confirms the direct influence of innovation on organizational performance. The contribution of this research is aimed at various literature related to the role of digital transformation and innovation on organizational performance. Meanwhile, for practical implications, digital transformation and innovation can improve organizational performance, especially in schools.
Integrated multi-layer perceptron neural network and novel feature extraction for handwritten Arabic recognition
Authors: Al Hamad Husam Ahmad , Shehab Mohammad
Published: April 2024

Arabic handwritten script recognition presents an energetic area of study. These types of recognitions face several obstacles, such as vast open databases, boundless diversity in individuals' penmanship, and freestyle writing. Thus, Arabic handwriting requires effective techniques to achieve better recognition results. On the other hand, Multilayer Perceptron (MLP) is one of the most common Artificial Neural Networks (ANNs) which deals with various problems efficiently. Therefore, this study introduces a new technique called Block Density and Location Feature (BDLF) with MLP, namely BDLF-MLP, which aims to extract novel features from letter images and estimate the letter's pixel density and its location for each equal-sized block in the image. In other words, BDLF-MLP can deal with various styles of Arabic handwritten, such as overlapping letters. The BDLF-MLP starts with the Block Feature Extraction (BFE) of the image by dividing the image into sixteen parts. After that, it calculates the density and location of each block (i.e., BDLF) by finding the sum of all values inside blocks. Finally, it determines the position of the greatest pixel density to obtain better recognition accuracy. The dataset containing 720 images is used to evaluate the efficiency of the proposed technique. Also, 1440 letters are used for training and testing divided evenly between them. The experiment results illustrate that BDLF-MLP outperformed the other algorithms in the literature with an accuracy of 97.26 %.
Improved PID Algorithm-intelligent Detection System of Tightening Machine
Authors: Tengfei Jing Yun Bai,
Published: April 2024

As the level of automation in manufacturing industry continues to improve, intelligent tightening technology is widely used in many fields. Research on torque, force and angle control technology for tightening machines focuses on designing sensitive detection systems, constructing control models and implementing accurate control of tightening parameters. This article proposes an optimized PID algorithm to improve tightening accuracy and stability. At the same time, an intelligent tightening machine monitoring system will be designed and developed to achieve online monitoring and control, ensuring tightening quality and stability. The system will use the latest technologies, including big data, cloud computing and artificial intelligence, to further optimize the tightening effect. The overshoot of PID control optimized by PSO-GA hybrid algorithm is 8.367% , which is far less than that of PID control alone, it is shown that the PSO-GA hybrid algorithm has higher accuracy and better robustness.
Assessing Performance of the Transformer Model in Predicting Hog Prices
Authors: Hui Liu
Published: April 2024

The price of hogs has a significant impact on livelihoods, social development, and overall stability. Therefore, accurate prediction of hog prices is crucial for effective decision-making, breeding strategies, resource allocation, and risk mitigation. In this study, we compare the performance of Transformer and Recurrent Neural Network (RNN) models in predicting hog prices and evaluate their applicability in different scenarios. Additionally, we conduct a generalization test on the hog pig industry chain to assess the models' performance. Our findings indicate that Transformer models excel in parallel computing, context capture, and encoding/decoding tasks. On the other hand, RNN models demonstrate superior performance in predicting extreme events and localized tasks. Therefore, the choice of modeling method should be tailored to meet specific requirements based on the nature of the prediction task.