bluuebunny/crossref_metadata_2025 huggingface dataset:
Improving the efficiency and performance of Rb 2 SnI 6 -based perovskite solar cells through comprehensive optimization: A numerical study
Authors: Alam Minhaz Ul , Shifat Md. Kamrul Islam , Modak Jibon Krisha , Tarekuzzaman Md. , Haque Md. Ismail , Rasheduzzaman Md. , Qader Md Abdul , Islam Riazul , Arafat Yasir , Hasan Md. Zahid
Published: November 2024

In this investigation, we have studied the optimal performance of perovskite solar cells (PSCs) based on tin halide (Rb2SnI6), using the SCAPS-1D software (solar capacitance simulator). The SCAPS 1D was employed to improve the device in the Rb2SnI6-based PSC, which utilized tungsten disulfide (WS2) as the electron transport layer and cadmium telluride (CdTe) as the hole transport layer (HTL). To identify the most suitable electron transport layer (ETL), we initially investigated WS2, SnS2, PCBM, and C60. The ITO/WS2/ Rb2SnI6/CdTe/Ni structure proved to be the most effective ETL after extensive investigation, demonstrating a power conversion efficiency (PCE) of 24.95%, a Voc of 1.0896 V, a Jsc of 44.6795 mA cm2 and an FF of 82.71%. Subsequently, we evaluated the impact of the absorber thickness, ETL thickness, and defect density on the device's effectiveness in the Rb2SnI6, WS2, and CdTe layers. We further investigated the effect of adjusting the interfacial defect densities at the CdTe/Rb2SnI6 and Rb2SnI6/WS2 interfaces to optimize the device's capabilities further. Additionally, we examined the proposed PSCs' quantum efficiency (QE), current density-voltage (J-V), shunt resistance, series resistance, capacitance-voltage, working temperature, and generation-recombination parameters. The results of these simulations provide valuable information for the excellent scientific fabrication of an inorganic PSC that is based on Rb2SnI6.
Detailed Analysis and Comparison of Geospace Timeline Data for Space Weather Monitoring
Authors: Chowdhury Aniruddha Chowdhury Aniruddha
Published: November 2024

This paper delves into the intricacies of geospace timeline data over multiple periods, scrutinizing solar wind parameters and geomagnetic indices. Through an in-depth examination of variations in magnetic field strength, solar wind density, speed, temperature, and geomagnetic activity indices (Kp and DST), this research aims to provide a comprehensive understanding of solar-terrestrial interactions. By comparing data from the latest 1 day, 3 days, and 7 days, we aim to enhance our grasp of these interactions to improve space weather forecasting capabilities. The analysis period is from July 26, 2024, to August 2, 2024, and the data was collected from the Space Weather Prediction Center (SWPC) located in Boulder, Colorado.
Causal associations between fibroblast growth factors and breast cancer: evidence from two-sample Mendelian randomization analysis
Authors: Feng Fubin , Sun Mengxuan , Yao Yan , Li Huayao , Song Linqi , Sun Changgang
Published: November 2024

Previous studies have suggested a potential association between fibroblast growth factors and breast cancer, but the evidence for the relationship between specific fibroblast growth factors with breast cancer is limited and controversial. To explore the interactions between 13 fibroblast growth factors (FGFs) and 3 fibroblast growth factor receptors (FGFRs) with breast cancer, we conducted a mendelian randomization study based on GWAS summary statistics of European ancestry. The IVW analysis showed that for overall breast cancer, FGF20 showed a genetically protective effect, FGF4 can genetically promote the risk of breast cancer. FGF1 and FGF7 were consistently associated with increased risk of ER + breast cancer, however FGF20 decreased the risk of ER + breast cancer. FGF23 promote the risk of ER- breast cancer. In the reverse MR study, ER + breast cancer tended to exhibit elevated levels of FGF7 and decreased levels of FGFR2. Our study results indicate that only specific types of FGFs and FGFRs may have a causal relationship with breast cancer. This research provides a new perspective on the mechanisms of action of different types of FGFs and FGFRs in breast cancer, and offers potential genetic support for personalized medicine and precision therapy.
Schizolepidopsis gerriennei sp. nov.: an Early Jurassic ovulate cone from Belgium
Authors: De Brito Léa , Fischer Valentin , Godefroit Pascal , Prestianni Cyrille
Published: November 2024

UnambiguousPinaceae taxa are described from the Late Jurassic onwards. This fossil record does not, however, match the molecular estimates of deep divergence within Pinaceae. In recent years, new anatomical observations and revisions have reassigned several species of Schizolepis Braun to the emended genus Schizolepidopsis Doweld, 2001 Emend. Domogatskaya Et Herman. This genus is currently regarded as an early representative of Pinaceae, notably sharing bisporangiate scales, winged seeds, and a more or less constricted cone with scales arranged helically around the axis. This would strongly push the earliest Pinaceae to the early Mesozoic or even the latest Paleozoic. Here, we describe an ovulate cone from the Lower Jurassic of Belgium. Despite its partial preservation, the use of micro-CT allowed the reconstruction of its morphology in details. This reconstruction highlights several characters (ovulate cone with helically arranged scales, constrained, bilobed and bisporangial scales with probable winged seeds) diagnostic of the genus Schizolepidopsis, and constituting a new species, which we name Schizolepidopsis gerriennei sp. nov. This description emphasizes several anatomical characters previously rarely noted for this genus. This ovulate cone represents the first occurrence of this genus in the Early Jurassic of Western Europe, which further completes the picture of its distribution and diversity and supports a much deeper origin of Pinaceae that usually conceived.
Study on meson cloud contributions to octet and decuplet baryon masses
Authors: Ge Yan , Gui Shuai , Liu Shixing , Liu Xuyang
Published: November 2024

In the present work, we explore the effect of the meson cloud dressing in the octet and decuplet baryon masses within the perturbative chiral quark model by considering both the ground and excited quark propagators. The total results on the octet and decuplet baryon masses agree excellently with the experimental data. In addition, the study shows clearly that π, K and η meson clouds contributing to the baryon masses are significantly influential, reducing about 40% of three quark-core values. And the study also reveals that the excited-states in the intermediate quark propagators play an extremely important role, they are twice as larger as those from the ground-state quark propagator.
Impact of Disaster Experience and Family Cancer on Well-being in Japan: A Cross-sectional Web-based Survey
Authors: Hara Akemi , Ozaki Akihiko , Takebayashi Yoshitake , Kotera Yasuhiro , Saito Hiroaki , Sawano Toyoaki , Ito Naomi , Gonda Kenji , Wada Masahiro , Tsubokura Masaharu , Ohira Hiromichi , Murakami Michio
Published: November 2024

Background:
Disasters and family cancer experiences both significantly impact well-being, especially in disaster-prone areas like Japan. Disruptions in medical care and increased emotional strain make coping with cancer even more challenging. This study explores how these factors together affect well-being in Japan, highlighting the need for further research to better understand and support affected families.
Methods:
A web-based survey was conducted among 2,179 adults in Japan in 2019, including residents of Fukushima and other areas affected by large-scale disasters. Well-being was the outcome variable, assessed using a five-component measure. Multivariable multivariate linear regression models were used to analyze the associations between disaster experiences and having a family member with cancer and well-being (outcome variable). Confounder variables, including age, income, and access to healthcare, were adjusted for in the models to provide a clearer understanding of the relationships between these factors and well-being.
Results:
Among 2,179 respondents, 78.6% reported no disaster experiences, 17.1% experienced damages but were in recovery, and 4.4% had unrecovered damages, with Fukushima residents disproportionately affected. In the subgroup with cancer-affected family members, higher satisfaction with cancer care (FAMCARE Scale) was positively associated with well-being (e.g., positive emotion: B = 0.41, 95% CI: 0.26 to 0.56, p < 0.001), while no significant relationship was observed between disaster damage and well-being in this subgroup. Unrecovered disaster damages were associated with significantly lower well-being across all measures in the overall population (e.g., positive emotion: B = -0.28, 95% CI: -0.43 to -0.12, p < 0.001). Psychological distress and subjective health status were strong predictors of well-being across all groups.
Conclusions:
Unresolved disaster damage negatively impacts well-being, while high-quality cancer care can positively influence well-being for families affected by cancer. These findings emphasize the need for integrated approaches to disaster recovery and healthcare that consider the multifaceted nature of well-being.
Assessment of the impact of novel photovoltaic materials on climate change: A numerical simulation study on surface temperature regulation and CO2 reduction
Authors: zhang peng , Gao Xiang
Published: November 2024

Global climate change is an urgent environmental challenge . To mitigate global warming, Solar Radiation Management (SRM) is being explored as a means to reduce the solar energy reaching Earth’s surface, thus controlling temperature rise. At the same time, greenhouse gas emissions remain the main cause of global warming. Large-scale photovoltaic installations, which are key for renewable energy generation, can also exacerbate local heat island effects and potentially impact both local and global climates . To address these issues, recent advancements in selective transmission and reflection photovoltaic materials have offered promising solutions. These materials achieve high energy conversion efficiency while reflecting significant portions of sunlight, thereby lowering surface temperatures. By combining solar radiation reflection with CO2 emissions reduction through clean energy generation, photovoltaic panels play a dual role in climate regulation . This study utilizes numerical simulations to evaluate the long-term climate impact of these novel photovoltaic materials, focusing on their effectiveness in surface temperature regulation and CO2 reduction.
Does professional and interprofessional identity increase during professional education? A cross-sectional study of Norwegian health- and social care students
Authors: Stalsberg Ragna , Thyness Cathinka , Grimstad Hilde , Rusandu Albertina , Andre Beate , Juul Randi , Steinsbekk Aslak
Published: November 2024

Background: Knowledge about the development of professional and interprofessional identity can be used in health & social education institutions to design apt curricula. However, the theoretical assumption for the development lacks solid empirical evidence. The purpose of the study was to examine the development of health & social care students’ professional- and interprofessional identities during professional education.
Methods:In this cross-sectional study, all students at all levels from eleven health & social care higher education programmes were included and completed a web-based questionnaire. The Macleod Clark Professional Identity Scale (MCPIS-9) was used to assess both professional and interprofessional identity. Analysis was performed using two-sample t-tests and multivariable regression models.
Results:The overall scores of professional and interprofessional identity (range 1-5), were 4.15 and 4.17, respectively. There was a slight but marked increase in professional identity score from the first to the final year of study (0.18—point increase, 95% CI 0.07 to 0.30) and a similar but weaker tendency for interprofessional identity (0.10—point increase, 95% CI -0.01 to 0.21). There was also an increase in professional identity when the three-years bachelor (0.17—point increase, p=0.034) and six-year professional study programmes (0.3—point increase, p=0.022) were analysed separately. However, this was less marked for interprofessional identity (respectively 0.08—point increase, p=0.386 and 0.24— point increase, p=0.049). The professional identity score increased with a mean of .08 point more than interprofessional identity from first to last study year.
Conclusion: Across health & social care students, there was a slight but visible increase in professional identity during the professional education. There was a tendency towards the same for interprofessional identity. This limited increase in professional and interprofessional identity during the course of the programmes may be due to the formation of such identity before students start their studies. However, shortcomings in the measurement of identity cannot be ruled out.
Prevalence, distribution and predictors of the occurrence of newborn illnesses in two urban slums in Accra, Ghana
Authors: Adimazoya¹* Edward Akolgo , Ganle²† John Kumuuori , Asampong³† Emmanuel , Glozah³† Franklin , Adongo³† Philip Baba
Published: November 2024

Background
Neonatal mortality remains a significant public health challenge globally, and Ghana is no exception. In Ghana, neonatal mortality accounts for 61% of infant deaths and 43% of under-five deaths. Few studies have investigated the prevalence, distribution and predictors of newborn illnesses in urban slums in Ghana. This paper examined the prevalence, distribution and determinants of the occurrence of newborn illnesses in two urban slums in Accra, Ghana.
Methods
The data for this paper comes from a concurrent mixed methods cross sectional study. The quantitative survey from which this paper is written was conducted among 279 mothers aged 15–49 years with live neonates 0–28 days old in two urban slums. The prevalence and distribution of various newborn illnesses was described using descriptive analysis. Bivariate and multiple logistic regression analyses were used to assess the predictors of illness occurrence at a 95% confidence level.
Results
Of the 279 newborn- mother pairs surveyed, 44 (15.8%) reported at least one of four illnesses; diarrhoea, fever, cough and acute respiratory infections. Among the different categories of mothers, there were no significant numerical differences in the occurrence of neonatal illness. Timing of drying and wrapping of the newborn was significantly associated with illness occurrence (χ2 = 8.23, p < 0.05). Neonates that were dried or wrapped soon after birth and before delivery of the placenta (AOR: 1.30, 95% CI: 0.53–3.18, p > 0.05 ) were less likely to suffer from any illness, compared to neonates that were dried/ wrapped after delivery of the placenta (AOR: 6.26, 95% CI: 1.71–22.88, p < 0.01). Similarly, neonates that were put to the breast for the first time within an hour after birth and between 1–3 hours after birth (AOR: 3.16, 95% CI: 1.08–9.27, p < 0.05) were significantly less likely to suffer any illness compared to those that were breastfed after 4 hours or more (AOR: 5.02, 95% CI: 1.49–16.87, p < 0.01) after birth.
Conclusions
The main illnesses affecting newborns in urban slums are diarrhoea, fever, cough, and acute respiratory infections. Drying or wrapping the newborn soon after birth and before delivery of the placenta and immediate breast feeding reduced the risk of illness occurrence. Strengthening early essential newborn care could potentially reduce the incidence and prevalence of newborn illnesses in urban slums.
Long-term Investors with Enhanced Well-being? Comparing Personality Traits by Investment Assets
Authors: Hitsuwari Jimpei , Kumagai Motoki
Published: November 2024

In the current era of increasing life expectancy, investment has become increasingly important for long-term financial stability and well-being. While previous research focused on risk tolerance and financial literacy among investors, little is known about the psychological characteristics of different types of investors and their relationships with well-being. This study investigated how different types of investment behavior relate to long-term orientation and psychological well-being. We compared four groups: long-term stock investors (investors in funds conceptualized around long-term investments), general stock investors, cryptocurrency investors, and non-investors. The participants completed measures of long-term orientation, life satisfaction, ikigai (sense of life worth living), positive emotions, and attitudes toward ambiguity. While no significant differences were found in long-term orientation across groups, the investment groups showed higher life satisfaction and ikigai scores than non-investors. Long-term stock investors reported higher contentment and lower absolutism in attitudes toward ambiguity. Mediation analysis revealed that long-term orientation had a marginally significant mediating effect between long-term stock investment and ikigai. These findings suggest that investment behavior, particularly long-term stock investment, may contribute to psychological well-being through multiple pathways beyond financial returns. These results highlight the potential psychological benefits of investment activities and suggest that different investment approaches may foster distinct patterns of positive emotions and cognitive attitudes. This study provides novel insights into investors’ psychological characteristics and the relationship between investment behavior and well-being.
Chemically enhancing agricultural biofortification of sorghum (Sorghum bicolor L. Moench) with iron from rusty soil
Authors: Ologidi Charles Godspower , Ogbulu Agnes Owen , Osia Ayibakedoubra , Ebiakpo Diepreye , Michael Rebecca , Apreala Alaere , Dubia Profit Mathew , Izoukumoh Jenneth Newman , Akpoezughe Pere Samuel , Ogheneuyoyo Nathaniel Ozegbe , Ikpong Clement Monday , Igburu Ebiweni , Sigmus Victor
Published: November 2024

Iron deficiency is a global malnutrition problem with an alarming impact in developing countries where there is food insecurity due mostly to a lack of access caused by poverty and the ability to obtain large chunks of calories from plant-based food sources, which are cheaper than those from meat/fish-based food sources. In addition, non-heme iron in plants is less bioavailable than heme iron in meat/fish. However, iron deficiency can be alleviated by iron biofortification of staple crops. Agricultural practices such as soil amendments are easily implemented methods of iron biofortification. Therefore, a soil formulation called rusty soil (75% waste sand in groundwater filtration, 12.5% loamy soil, and 12.5% manure), which supports plant growth and contains higher iron concentrations than loamy soil does, was chemically enhanced with variable concentrations (10 g, 30 g, and 50 g in 4000 mL) of sulfosalicylic acid, which is an iron chelator. Iron biofortification was modelled in sorghum by planting in 5000 g rusty soil, sulfosalicylic acid-treated rusty sand (positive control), and loamy soil (negative control) in triplicate. The iron concentration of the soils was determined at week of transplanting and 11 weeks after transplanting (11 WAT) by acid digestion and flame atomic absorption spectrophotometry (FAAS). In addition, the iron concentration of the plant parts was ascertained at 11 WAT and the values were statistically analysed at 5% probability level, which revealed that there was a significant increase in iron concentration of sorghum plant parts due to application of 50 g of sulfosalicylic acid. Therefore, there was chemical enhancement of agricultural iron biofortification of sorghum using rusty soil and this could be applied in other crops.
Evaluating Rural Households’ Welfare Gains from Participation in Smallholder Agriculture: A Difference in Differences Approach
Authors: Mandikiana Brian Washington
Published: November 2024

Smallholder agriculture is a livelihood strategy that millions of rural South African households rely on. Accordingly, this study evaluates what determines participation in smallholder agriculture and whether it is an optimal livelihood strategy that improves household welfare among rural households in South Africa. This study uses the waves of the South African National Income Dynamics Survey (NIDS). Using a two time period and two-group quasi-experiment approach permits impact evaluation using the 'nearest neighbor' propensity score matching algorithm and difference-in-differences techniques. This study establishes that race, household composition, culture, and geographic location are associated with participation in smallholder agriculture. However, for rural households, participation in smallholder agricultural production results in an approximately one food group more dietary diverse diet. Additionally, the results suggest that there is no statistically significant impact of agricultural production on other welfare outcomes, namely; consumption per capita, income per capita, and the wealth index. Overall, the results suggest that rural households' participation in agricultural production is less opportunity driven. Instead, participation in agricultural production is more effective as a subsistence strategy. Moreover, these results have important food security implications.
Causal effects of happiness: The role of macroeconomic and institutional factors
Authors: Mandikiana Brian Washington
Published: November 2024

This article examines the effect of economic and institutional factors on an indicator of happiness. To achieve this goal, the study develops a theoretical model based on the neoclassical theory of the firm that links happiness to economic and institutional factors and uses unique happiness data from the World Happiness Report (WHR), World Bank’s World Governance Indicators, World Development Indicators and the Penn World Table version 10.0 dataset for 133 global countries from 2005 to 2019. The analysis uses the dynamic panel data system generalized method of moment (Sys-GMM) to understand the dynamics of happiness better. The results reveal that income per capita, voice, and accountability improve happiness. However, there is evidence suggesting that inflation and an increase in the contribution of rents to the gross domestic product have a negative impact on happiness. Thus, to achieve happiness improvements, specific public policy initiatives should be implemented to boost the development of good governance, particularly ensuring citizens have platforms to voice their concerns and promoting accountability. Also addressing issues that impede income growth and creating institutes grounded on using natural resources rents for maximizing happiness as a public policy investment globally.
A Comprehensive Deep Learning Pipeline for Arrhythmia Multi-Classification with Electrocardiography Data
Authors: Quirós-Corella Fabricio , Loaiza Randall , Matarrita Rosa , Meneses Esteban
Published: November 2024

Accurate and timely arrhythmia multi-classification is crucial for diagnosing and managing cardiovascular diseases. Traditional interpretation of electrocardiograms is time-consuming and prone to human error. To address these challenges, this study describes a novel deep learning-based approach for automated arrhythmia classification. Our proposed model, a convolutional-recurrent neural network, leverages the strengths of both convolutional and recurrent neural networks to effectively capture spatial and temporal features within electrocardiography signals. To outperform the existent deep learning solutions, we incorporate a systematic data balancing strategy to address the class imbalance often present in the available datasets. Furthermore, we employ an automatic hyperparameter optimization technique to fine-tune the model’s parameters for optimal performance. The proposed deep learning architecture, trained on a robust dataset of electrocardiograms, demonstrates exceptional accuracy in classifying multiple arrhythmia types. Our results, with an overall accuracy of 99.60%, surpass previous state-of-the-art methods, highlighting the potential of our approach to improve the efficiency and accuracy of arrhythmia diagnosis in clinical settings.
Does audit opinion matter to issuance of sukuk?
Authors: Azwar Azwar , Abdullah Mohd Farid Ravi , Usman Abur Hamdi
Published: November 2024

Purpose - This study aims to analyze the effect of The Audit Board of The Republic of Indonesia's audit opinion on Central Government Financial Statement and economic factors on the Government Sharia Securities (sukuk) issuance of Indonesia.Method - The data collected is secondary data obtained from the Audit Board of the Republic of Indonesia (BPK), Bank Indonesia, and World Bank. This study uses a quantitative approach with the Ordinary Least Squares (OLS) technique.Result - The results show that the audit opinion by BPK has a positive and significant influence on the development of sukuk in Indonesia. The inflation rate is found to have a negative effect on sukuk, but not significant. The exchange rate is found to have a positive and significant effect on the issuance of sukuk. Political stability is found to have a negative effect on the development of sukuk, but not significant. Changes in the growth have a negative and significant influence on the issuance of sukuk.Implication - The results provide a recommendation that in addition to maintaining the current Central Government Financial Statement opinion acquisition at the highest level (unqualified), the government needs to maintain the credibility and accountability of State Budget performance which is manifested through macroeconomic variables and other variables that influence the development of government Sharia securities.Originality - This study provides a new perspective on the influence of audit opinions and various economic factors on the issuance of sukuk in Indonesia, using a comprehensive data set covering the period from 2008 to 2022 and employing the Ordinary Least Squares (OLS) technique for analysis.
Hejt jako jeden z głównych problemów, z jakimi borykają się twórcy internetowych mediów obywatelskich Warmii i Mazur
Authors: Doliwa Urszula
Published: November 2024

W artykule przedstawiono rezultaty badania przeprowadzonego w ramach projektu Centrum Monitoringu Internetowego Dziennikarstwa Obywatelskiego na Warmii i Mazurach realizowanego w Instytucie Dziennikarstwa i Komunikacji Społecznej Uniwersytetu Warmińsko-Mazurskiego w Olsztynie. Podstawę badania stanowiły wywiady prowadzone według wstępnie ustrukturyzowanego planu z 43 przedstawicielami mediów obywatelskich Warmii i Mazur prowadzone od czerwca 2021 roku do marca 2023 roku. Z przeprowadzonych badań wynika, że do najważniejszych problemów twórców mediów obywatelskich nie należą problemy finansowe czy organizacyjne, a właśnie problemy z hejtem, mową nienawiści, komentarzami, które przekraczają granice kulturalnego dyskursu publicznego. Tzw. „hejt” twórcy mediów obywatelskich postrzegają jako immanentną cechę komunikacji internetowej. Przyznają jednak, że może ona wpływać negatywnie na psychikę twórców internetowych mediów obywatelskich. Obierają oni różne strategie radzenia sobie z tym zjawiskiem, do których można zaliczyć między innymi: akceptację hejtu jako immanentnej cechy komunikacji internetowej, nieprzykładanie nadmiernej wagi do tego rodzaju przekazów i skupianie się na przekazach pozytywnych, ignorowanie nienawistnych treści, blokowanie niektórych komentarzy, unikanie tematów, które mogą wywołać kontrowersje oraz podejmowanie spokojnej dyskusji z hejterami.
Początki edukacji dziennikarskiej kobiecym okiem. Wspomnienia Wandy Rostworowskiej
Authors: Pawlak-Hejno Elżbieta
Published: November 2024

Fundamentem badań medioznawczych jest dziennikarstwo, którego status i profesjonalne standardy stanowią przedmiot dyskusji zarówno reprezentantów profesji, badaczy, jak i opinii publicznej, a debata nad kondycją dziennikarstwa, trwa od momentu jego powstania i ewoluuje wraz z rozwojem mediów. Przed I wojną światową na ziemiach polskich, gdy rynek prasowy był już rozwinięty i zróżnicowany, pojawiały się postulaty formalnego kształcenia dziennikarzy, których wpływ na kształtowanie opinii publicznej był już wtedy nie do podważenia. W 1917 roku kobiety mogły rozpocząć naukę na pierwszych studiach dziennikarskich na równi z mężczyznami, ale ich droga do profesji dziennikarskiej była o wiele trudniejsza, chociażby przez ograniczony dostęp do edukacji oraz miejsc pracy. Cel niniejszego artykułu stanowi analiza treści wspomnień pierwszej studentki dziennikarstwa Wandy Kuszell (Rostworowskiej), zachowanych w Archiwum Biblioteki Narodowej w Warszawie osadzona w kontekście rozwoju profesji dziennikarskiej oraz roli edukacji w kształtowaniu kultury medialnej.
Kreowanie prasy sentymentalnej nawiązującej do prasy dziecięco-młodzieżowej. Studium przypadku magazynu H20, Wystarczy Kropla
Authors: Żukowska Kinga
Published: November 2024

Autorka przedstawia nowe zjawisko w prasie, jakim jest kształtowanie się segmentu tzw. prasy sentymentalnej, której odbiorcami mają być tzw. kidults, czyli „wieczne dzieci”. Dokonana została analiza treści oraz analiza narracyjna na przykładowym magazynie, który może reprezentować takowy dział prasy - H2O, wystarczy kropla koncernu Panini. Pytania badawcze, które postawiono, to, czy magazyn H2O, wystarczy kropla wydawany w roku 2022 jest przeznaczony dla dzieci i wczesnej młodzieży oraz jakie elementy świadczą o sentymentalnym charakterze czasopisma? Autorka zaprezentowała cechy periodyków sentymentalnych, wskazując nowe, nietypowe ruchy wydawców prasy.
Development of a Web-Based Information System for Student Leave Permission at Dar Al-Raudhah Islamic Boarding School: ISO Quality Standards Analysis
Authors: Destiana Bonita , Priyanto Priyanto , Irfan Rahmatul , Khamim Muhammad Gus , Ridlo Muhammad Yusuf , Iqbal Muhammad
Published: November 2024

Dar Al-Raudhah Entrepreneur, Islamic Boarding School, has adopted digital technology by upgrading hardware and software also investing in reliable internet infrastructure. However, this school still faces issues with students’ leave permission process due to reliance on manual bookkeeping and Excel, which leads to potential errors. Based on those problems, this research aims to create a web-based student leave permission system called SIPERSAN. The SIPERSAN system was developed with a Waterfall development model, which includes requirements analysis, design, implementation, testing, and deployment. The database is managed with MySQL, and the system is developed using PHP with the Laravel framework. Based on testing results, SIPERSAN has met the ISO 25010 standard for the four aspects: functionality, performance efficiency, reliability, and usability. Regarding functionality, this system has a score of 0.964, indicating it is very eligible. It rates 90% on GTMetrix (Grade B) for performance efficiency with an average loaded time of 2.06 seconds, making it eligible. Regarding reliability, the system is rated as very eligible for success based on evaluations performed with WAPT software. Usability is rated at 75.33%, which is considered eligible. SIPERSAN also received a positive response from users, who felt impacts such as facilitating the processing of student permits, increasing efficiency in managing student permit data, minimizing data errors, and assisting in recording student permits that are organized and systematic.
Optimizing "Open Data Jawa Tengah" through Technology Acceptance Model (TAM)
Authors: Muaafii Yasykur Hisyam , Priyanto Priyanto
Published: November 2024

The Central Java Provincial Government has implemented the “Open Data Jateng” system since 2019 for public services. Open Data is part of the application of big data, and the system does not yet have evidence to meet data needs. So, an explanatory method of research was conducted using a prediction study. The research variables are based on the development of the Technology Acceptance Model (TAM) theory and the 3Q model theory. 130 respondents from the ex-Karesidenan of Semarang City filled out 21 statements, then tested through Partial Least Square - Structural Equation Modeling (PLS-SEM). The result is that there is the highest relationship in the TAM variable, namely: the influence of the perceived usefulness variable on the behavioral intention to use variable is 42.5%, with the predictive power of increasing the two variables to 75.2% if there is treatment/policy. The relationship between TAM variables and the 3Q model was found, such as the effect between the information quality variable and perceived usefulness was 13.3%, which has a low level of influence. Although low, the predictive power is also high at 65.4% if there is a treatment or policy that supports the information quality variable. The study concluded that the optimization of Open Data Jateng can be through policy support in order to improve the quality of information.
Implementation of Black Box Testing with the Application of Equivalence Partitioning Techniques in the M-Magazine Android Application at Semen Gresik High School
Authors: Frayudha Angga Debby , Pande Ivan Roy , Juwita Mario Benson
Published: November 2024

This research aimed to improve the M-Magazine application at Semen Gresik High School to enhance its usability for students and teachers. The study focused on developing a digital platform called "mading" to improve the dissemination of information within educational institutions. The research addressed security issues and limitations associated with physical media by transitioning from traditional wall-mounted magazines to a digital format. The research followed a three-phase approach consisting of preparation, analysis, and implementation, which involved a literature review, data collection, system design, and testing. The resulting digital Magazine system offers a centralized platform for schools to manage and share information. Students can actively contribute by submitting content through the website. The system provides features to sort, filter, and publish information, ensuring timely and relevant updates. The findings demonstrated that the Digital Magazine effectively improves information dissemination in schools by providing better security, accessibility, and efficiency than traditional methods. This technology-powered platform empowers schools and students to share knowledge and stay informed.
Black Teachers of English(es) in Japan
Authors: Glasgow Gregory Paul
Published: November 2024

This book examines the trajectories of a transnational group of teachers of African descent who live and teach English in Japan. The author argues that while multiculturalism and diversity within ELT in Japan may seem to be gradually improving, raciolinguistic native-speakerism still affects the livelihood of racialized teachers.
A Natural Serotonin Stimulant for Appetite Suppression and Targeted Eating as an Alternative to Conventional Obesity Treatments
Authors: Dellinger Anthony L. , Hughes Lowell , Griffith Lesma , Brady Terry E. , Ibrahim Abed Alqader , Goddard Melinda K. M.
Published: November 2024

Recent advances in obesity management reflect the integration of pharmacological, surgical, and behavioral interventions, yet sustainable long-term outcomes remain elusive due to high attrition rates, the complexity of protocol compliance – and for some, costs, risks, and serious side effects. This research combined a patented nutraceutical designed to naturally stimulate serotonin, a biologic hunger agonist, to thereby aid in appetite control and facilitate weight loss through ‘Targeted Eating,’ a single, unrestricted daily meal protocol. Initial results from this ‘real world’ user study indicate promising weight management outcomes and compliance with this eating strategy. By exploring the evolutionary biology of perceived hunger and the anatomy associated with episodic versus circadian consumption, the study thus proposes a paradigm shift in obesity treatment and suggests further approaches to provide innovative solutions to the global obesity crisis.
Giải pháp áp dụng quy định về thu hồi đất, bồi thường và hỗ trợ tái định cư để thành lập trung tâm nông sản vùng Đồng bằng sông Cửu Long
Authors: Phan Trung Hiền , Lâm Vĩ Khang
Published: November 2024

Nghiên cứu gợi ý các giải pháp mang tính khả thi khi áp dụng pháp luật về thu hồi đất, bồi thường và hỗ trợ tái định cư để thành lập Trung tâm nông sản vùng Đồng bằng sông Cửu Long. Phương pháp chính được sử dụng trong nghiên cứu là phương pháp nghiên cứu lý thuyết luật học và phương pháp phân tích câu chữ để xác định, giải thích và phân tích các quy định pháp luật liên quan đến giải phóng mặt bằng khi tiến hành dự án. Kết quả nghiên cứu chỉ ra rằng việc xác định phạm vi áp dụng mục đích thu hồi đất để phát triển kinh tế - xã hội vì lợi ích quốc gia, công cộng khi triển khai dự án theo Luật Đất đai năm 2024 là vấn đề mang tính cốt lõi. Nguồn vốn giải phóng mặt bằng của dự án có thể vận dụng quy định về giao, cho thuê đất theo tiến độ để thực hiện. Ngoài ra, cần thiết phải lưu ý và nghiên cứu những văn bản hướng dẫn cụ thể Luật Đất đai năm 2024 về bồi thường, tái định cư để việc áp dụng những quy định này khi tiến hành dự án khẩn trương và hiệu quả, đồng thời bảo đảm quyền và lợi ích hợp pháp cho người dân có đất trong vùng dự án.
Tác động của các cách thức làm giảm lao động nông nghiệp dư thừa ở Đồng bằng sông Cửu Long
Authors: Phạm Hữu Thanh Nhã , Đỗ Phú Trần Tình
Published: November 2024

Bài báo này nhằm mục đích phân tích thực trạng và tác động của các cách thức làm giảm số lượng lao động nông nghiệp dư thừa ở Đồng bằng sông Cửu Long (ĐBSCL). Qua đó, bài báo làm sâu sắc thêm phần vận dụng lý thuyết về giải quyết lao động nông nghiệp dư thừa. Phương pháp chính được sử dụng trong bài báo là phân tích, tổng hợp và thống kê mô tả dựa vào số liệu thứ cấp của Tổng cục Thống kê giai đoạn 2011 – 2022. Kết quả nghiên cứu chỉ ra rằng di cư và chuyển dịch cơ cấu kinh tế có tác động làm giảm 1,7 triệu lao động, tương ứng 1/3 lực lượng lao động nông nghiệp vùng ĐBSCL. Tuy nhiên tác động này chủ yếu ở nhóm lao động trẻ. Còn lại, chính tăng trưởng của ngành nông nghiệp đã duy trì việc làm và sinh kế cho đa số lao động nông nghiệp, nhất là lao động nông nghiệp lớn tuổi. Thông qua kết quả nghiên cứu, bài báo đề xuất một số chính sách phù hợp nhằm đẩy nhanh việc giảm số lượng lao động nông nghiệp dư thừa ở ĐBSCL.
Xây dựng quy trình công nghệ chế biến puree bí đỏ (Cucurbita moschata D.) đóng hộp
Authors: Nguyễn Nhật Minh Phương , Trần Kim Bảo , Lê Minh Đô , Trần Như Ảnh , Trần Chí Nhân , Tống Thị Ánh Ngọc
Published: November 2024

Bí đỏ chứa nhiều carotenoid. Thịt bí đỏ thường được sử dụng trực tiếp hoặc chế biến thành các sản phẩm khác, ví dụ như puree. Việc phát triển sản phẩm puree bí đỏ đóng hộp là cần thiết để phát triển sản phẩm giá trị gia tăng. Với mục tiêu này, nội dung nghiên cứu bao gồm (i) khảo sát sự ảnh hưởng của nhiệt độ (80, 90 và 100oC) và thời gian chần (5, 6 và 7 phút) đến chất lượng nguyên liệu bí đỏ; (ii) xác định nồng độ ascorbic acid (0,025, 0,05 và 0,1%) bổ sung và xây dựng chế độ tiệt trùng phù hợp (121°C trong 5, 7, 9 phút; 118°C trong 20, 23, 26 phút; 115°C trong 45, 50, 60 phút) để đảm bảo chất lượng và an toàn của sản phẩm puree bí đỏ đóng hộp. Mẫu được chần ở nhiệt độ 90oC trong thời gian 7 phút vô hoạt toàn enzyme peroxidase, giữ được màu sắc, hàm lượng carotenoids, cấu trúc mềm phù hợp làm puree.  Sản phẩm puree bí đỏ đóng hộp được tiệt trùng ở nhiệt độ 121°C trong 5 phút duy trì hàm lượng chất dinh dưỡng và đảm bảo an toàn về mặt vi sinh (v.d. bào tử Clostridium botulinum).
Khảo sát khả năng kháng vi khuẩn gây mụn của tinh dầu ngải năm ông (Curcuma involucrata (King ex Baker) Škorničk)
Authors: Nguyễn Thanh Tố Nhi , Nguyễn Minh Thái , Phan Huyền Trang , Hoàng Đức Thuận , Nguyễn Thành Triết
Published: November 2024

Nghiên cứu thực hiện khảo sát khả năng kháng vi khuẩn gây mụn từ tinh dầu của Curcuma involucrata thu hái từ tỉnh Long An. Tinh dầu được chiết bằng phương pháp chưng cất lôi cuốn hơi nước. Hoạt tính kháng khuẩn của dược liệu được khảo sát bằng các phương pháp: đĩa giấy khuếch tán; pha loãng trong môi trường rắn (MIC), trải đĩa (MBC), đĩa ba ngăn (pha hơi). Thành phần hóa học của tinh dầu được xác định bằng phương pháp sắc ký khí ghép khối phổ (GC-MS). Hiệu suất chiết tinh dầu là 0,29%. Kết quả xác định thành phần hóa học của tinh dầu bằng GC-MS cho thấy sự hiện diện của ít nhất 28 chất, trong đó hai hợp chất chính là isoterpinolen (29,65%) và β-ocimen (11,60%). Tinh dầu thể hiện tác dụng ức chế tốt nhất trên Staphylococcus aureus với MIC = 0,16 µL/mL và tác dụng ức chế trung bình trên Propionibacterium acnes với MIC = 0,63 µL/mL. Tinh dầu thân rễ ngải năm ông thích hợp đối với chế phẩm dạng kem, tác động tại chỗ trong điều trị mụn vì cho hoạt tính kháng khuẩn trên pha rắn tốt hơn so với pha hơi.
Post-Traumatic Growth in Bhisham Sahni’s Tamas: An Exploration
Authors: Khutia Gopinath
Published: November 2024

The Partition of India in 1947, one of the most violent episodes of the 20th century, deeply influenced literary expressions across the Indian subcontinent. Bhisham Sahni, an eminent Hindi writer, witnessed this event and wove its legacy into his writing. His works, particularly Tamas, delve into the traumatic experiences surrounding Partition, yet also reveal unexpected dimensions of resilience, compassion, and growth amidst chaos. This article studies the concept of post-traumatic growth as manifested in Sahni’s Tamas, specifically focusing on how his characters evolve through trauma. The article draws on the theory of post-traumatic growth (PTG) to uncover the complex interplay of loss, healing, and moral resilience in Tamas.
Registro digital de mapas del fondo Pedro Bosh-Gimpera empleando técnicas fotogramétricas
Authors: Casas Cordero Araceli , Reyes Sánchez Alicia A. , Quiroz Galván Emilio Jose , Franco Serrano Victor Hugo
Published: November 2024

El reporte que se presenta es una experiencia interdisciplinaria para preservar una selección de 34 mapas de la colección personal del arqueólogo y prehistoriador Pedro Bosch-Gimpera, en donde analiza el desplazamiento de la humanidad durante la prehistoria al continente americano. Para llevar a cabo el registro digital, se emplearon técnicas fotogramétricas, las cuales tienen como ventaja el no ser tecnología invasiva; toda la información se recolectó in situ para evitar una reacción que acelerara el deterioro del material. Los resultados obtenidos lograron registrar los detalles de los trazos finos que realizó el autor sobre la obra.
Edificios históricos en la era digital: oportunidades de las réplicas digitales
Authors: Hernández Ortiz Irais Nohemi
Published: November 2024

El proyecto se centró en la aplicación de técnicas fotogramétricas y análisis de Modelos Digitales de Elevación para documentar y analizar fachadas de inmuebles históricos. Se empleó un enfoque metodológico orientado a maximizar la precisión y eficiencia en la representación de las características físicas de las estructuras. La fotogrametría permitió generar mapas de profundidad, que fueron transformados dentro de un entorno de Sistemas de Información Geográfica. Estos modelos se procesaron para resaltar las variaciones de altura mediante visualizaciones en pseudocolor y análisis de relieve, lo que facilitó la identificación de detalles que son difíciles de captar con la fotografía tradicional. Los resultados demostraron que esta técnica mejora la visibilidad de los elementos arquitectónicos, por lo que ofrece un recurso para la conservación patrimonial. El proceso propuesto también es una opción para el seguimiento continuo de los edificios a lo largo del tiempo, al permitir la creación de un registro cronológico para la detección temprana de grietas, deformaciones y deterioro de los acabados.
AI for Optimizing Supply Chain Management
Authors: Kumar Prince
Published: November 2024

The rapid advancement of Artificial Intelligence (AI) technologies has significantly transformed various sectors, with supply chain management (SCM) being a notable beneficiary. This research paper explores the impact of AI on optimizing supply chain processes, focusing on its applications in predictive analytics, natural language processing, robotics and automation, blockchain, and the Internet of Things (IoT). Through a mixed-method approach involving quantitative surveys, qualitative interviews, and secondary data analysis, the study evaluates how AI-driven solutions enhance key performance indicators (KPIs) such as inventory turnover, lead time, order accuracy, and cost reduction. The results indicate substantial improvements in these KPIs post-AI implementation, highlighting AI's role in achieving greater operational efficiency, accuracy, and cost-effectiveness in SCM. Challenges associated with AI adoption, including data quality, integration with legacy systems, and skill gaps, are also discussed. The paper provides actionable insights and recommendations for organizations aiming to leverage AI technologies to optimize their supply chain operations. This research contributes to the growing body of knowledge on AI in SCM and offers practical guidance for industry practitioners
Review on Oral Osmotic Tablet
Authors: Bhadake Mr. Aniket V.
Published: November 2024

Traditional oral medication delivery methods provide the drug with an immediate release and an efficient concentration at the intended location. Such a dosage regimen could lead to unexpected, ever-changing plasma concentrations. As a result, numerous regulated medication delivery systems are created. Among these, osmotic drug delivery systems (ODDS) and pulsatile drug delivery systems (PDDS) are becoming more and more significant because they improve patient treatment efficacy and compliance by delivering the medicine at precise times based on the course and physiological requirements of the disease. They regulate the drug’s delivery by using the osmotic pressure theory.To a significant extent, the drug’s release is unaffected by GIT physiological variables. Both targeted and systemic medication delivery are possible with these methods. The theoretical idea of drug delivery, various oral osmotic drug delivery system types, factors influencing the drug delivery system, benefits and drawbacks of these delivery systems, fundamental osmotic system components, evaluation parameters, difficulties, and emerging technologies in oral controlled drug delivery are all “highlighted” in this review.
PlaceMe: Integrated Campus Recruitment Platform
Authors: Chavan Prof. Gayatri
Published: November 2024

PlaceMe: The campus-wide recruiting hub is a comprehensive, user-friendly solution designed to improve the hiring process for schools and organizations. As the need for effective school recruiting continues, PlaceMe provides a platform that bridges the gap between students, recruiters, and home managers. The program uses advanced algorithms with machine learning and predictive analytics to match candidates, provide a personalized hiring process, and improve decision-making. The platform has many key features that improve recruiting: allows students to generate information about their educational achievements, skills, and additional jobs and submit additional jobs to recruiters; provides job access to the pool; reduces recruiting time and staff management; manage effective recruiting, track enrolment data, and generate insights about job candidates. PlaceMe also integrates with external tools and APIs to improve profile analysis, intelligence assessment, and the repeatability, reliability, and accuracy of candidate evaluation. By automating routine tasks and providing instantly understandable information, PlaceMe creates a more efficient, transparent and effective recruiting process in schools. The platform is designed to increase recruiting efficiency and facilitate effective communication between students and potential employers, helping to improve students’ study and work outcomes.