bluuebunny/crossref_metadata_2025 huggingface dataset:
Blockchain enabled Deep Learning Architectures to Secure IoT and Edge Computing in Supply Chain Management for Industry 4.0
Authors: Samriya Jitendra Kumar , Kumar Amit , Bhansali Ashok , Singh Virendra ,   5Deepak Kumar Mishra, Tripathi Pragati
Published: November 2024

Blockchain has been widely used in Internet of Things (IoT) applications to ensure data confidentiality, consistency and traceability. Integration of blockchain and edge computing improves the resource utilization across network, computation, storage, and security. This paper presents a novel method to address data transmission, communication overhead, security and privacy along with accuracy in IoT application integrating cloud edge environments using deep learning techniques. In addition, Blockchain technology has been incorporated to avoid the cyber-attacks in supply chain management and secure data transmission has been enhanced using Voxel Convolutional networks. The experiments are conducted to evaluate and analyse data transmission ratio, specificity, training accuracy, and validation accuracy. The computational results of our approach show a significant improvement in data privacy and communication security with data transmission ratio up to 89%, validation accuracy 89%, specificity of 75%, training accuracy 95%, and security analysis 91%.
Atomic-Level Insights into the Nanocluster to Quantum Dot Transition of CdSe from DNP-NMR
Authors: McDermott Ann , Xu Yunyao , Zhang Lichirui , Sergeyev Ivan , Greenberg Matthew , Saenz Natalie , Beecher Alexander , Friesner Richard , Owen Jonathan
Published: November 2024

Achieving control over quantum dot (QD) size is essential for their performance but remains difficult due to the limited atomic-level understanding of QD growth. Using signal-enhanced solid-state NMR (SSNMR), we examined structural features of intermediate CdSe clusters and mature QDs. The intermediates, with four distinct site types, pose a challenge in determining ligand distribution across their surface. By integrating quantum computation with experimental data, we assigned NMR peaks to specific Cd binding environments and found that ligand distribution is optimized through inter-ligand hydrogen bonds, which stabilize the ligand layer and counteract the steric constraints of ligand packing on planar facet. 113Cd NMR provided insights into local Cd environments, offering a framework for monitoring structural transitions and improving size control during QD growth.
Complementary competing risks for bivariate generalized Rayleigh distribution under maximum ranked set sampling
Authors: Alok Arvind Kumar , Singh Garib Nath , Chandra Prakash
Published: November 2024

In this article, inference for a competing risk model is discussed when the cause of failures of units is dependent on using the maximum ranked set sampling (MaxRSS) approach. When the latent failure times follow the bivariate generalized Rayleigh distributions, inference for unknown parameters is obtained using frequentist and Bayesian approaches. Maximum likelihood estimators of the unknown parameter and its existence and uniqueness are also provided. Subsequently, approximate confidence intervals have also been constructed based on the observed Fisher information matrix. In competing risk, it is obvious that one risk is at a higher risk than the other, the MLE of the parameter has been discussed under re-parameterization of the parameter. Further, Bayes estimates have been discussed using informative and non-informative (Jeffrey's and reference) prior under the squared error loss function. Moreover, the associated highest posterior density credible interval is also developed. The performance of various estimators is evaluated based on extensive simulation study, and comments are obtained. Finally, two different real-life applications are also provided for illustrative purposes.
Modelling Home Range and Intraspecific Spatial Interaction in Wild Animal Populations
Authors: Bayisa Fekadu L. , Seals Christopher L. , Leeper Hannah J. , Steury Todd D. , Ceyhan Elvan
Published: November 2024

Interactions among individuals from the same-species of wild animals are an important component of population dynamics. An interaction can be either static (based on overlap of space use) or dynamic (based on movement). The goal of this work is to determine the level of static interactions between individuals from the same-species of wild animals using 95\% and 50\% home ranges, as well as to model their movement interactions, which could include attraction, avoidance (or repulsion), or lack of interaction, in order to gain new insights and improve our understanding of ecological processes. Home range estimation methods (minimum convex polygon, kernel density estimator, and autocorrelated kernel density estimator), inhomogeneous multitype (or cross-type) summary statistics, and envelope testing methods (pointwise and global envelope tests) were proposed to study the nature of the same-species wild-animal spatial interactions. Using GPS collar data, we applied the methods to quantify both static and dynamic interactions between black bears in southern Alabama, USA. In general, our findings suggest that the black bears in our dataset showed no significant preference to live together or apart, i.e., there was no significant deviation from independence toward association or avoidance (i.e., segregation) between the bears.
Predicting US Elections: A Machine Learning Approach
Authors: Gadde Nishant , Kumar Sanjit , Altaf Rayaan , Bharath Shreyas
Published: November 2024

This study introduces a cutting-edge machine learning framework specif- ically developed to forecast the results of highly competitive political races, focusing on the 2018 Texas Senate election between Senator Ted Cruz and Beto O’Rourke. By utilizing a comprehensive dataset compris- ing historical election results from 2008 to 2016, granular polling data, and the relative importance of key campaign issues across counties, we employ advanced machine learning techniques, including Random Forest and Gradient Boosting, to construct a highly accurate predictive model. This hybrid approach effectively captures complex voting behavior pat- terns, enabling the model to predict Cruz’s statewide vote share with a minimal error margin of just 0.89%. The model’s precision not only under- scores the potential of machine learning to revolutionize election forecast- ing but also offers actionable insights that can significantly impact strate- gic decision-making in political campaigns. For Cruz’s team, the ability to predict electoral outcomes with such accuracy provides a competitive advantage in resource allocation, voter outreach, and issue prioritization. The model identifies critical factors—such as the economy, immigration, and healthcare—driving voter preferences, allowing the campaign to tailor its messaging and mobilization efforts more effectively. Furthermore, this framework can be adapted for future campaigns, providing a dynamic, data-driven tool that enhances Cruz’s ability to anticipate shifts in voter sentiment and strategically respond to emerging challenges.
Smartphone-based Step Counts as an Independent
Digital Biomarker of Survival in ALS Patients
Authors: Matabuena Marcos , Straczkiewicz Marcin , Calcagno Narghes , Burke Katherine M. , Royse Timothy B. , Iyer Amrita , Carney Kendall T. , Hall Sydney , Berry James D. , Onnela Jukka-Pekka
Published: November 2024

Amyotrophic lateral sclerosis (ALS) is a progressive debilitating disease. Digital biomarkers obtained from smartphone data may allow for scalable, remote, unobtrusive, quantitative measurement of physical activity (PA) and could provide efficient outcome measures for ALS trials. Smartphone activity data may also have a role in predicting ALS prognosis. This study compares the effect of adding baseline smartphone PA variables for predicting ALS survival, which improves ALS survival prediction C-score by 20 percent after adjusting for traditional ALS baseline progression biomarkers. These results show that smartphone-based digital biomarkers are promising tools for ALS prognosis prediction.
COMPUTAÇÃO QUÂNTICA EM QUÍMICA
Authors: M. Porto Caio , S. Fonseca Matheus , de S. T. Morais Guilherme , J. Villas-Boas Celso , A. Nome Rene , Morgon Nelson H.
Published: November 2024

QUANTUM COMPUTING IN CHEMISTRY. Quantum computing offers transformative potential for quantum chemistry, enabling the exploration of complex molecular simulations with unprecedented accuracy. By leveraging qubits and powerful quantum algorithms like the variational quantum eigensolver (VQE) and quantum phase estimation (QPE), quantum computing provides a novel approach to unraveling the intricacies of electronic structures and properties of molecules. While challenges persist in qubit stability and error mitigation, continuous innovation is fostered by collaborative efforts between the quantum computing and chemistry communities. These collaborations pave the way for groundbreaking advancements in drug discovery and materials science. This research employed quantum computing simulators to investigate the potential energy surface (PES) of the H2 molecule at the CCSD/STO-3G level of theory. These simulators, leveraging qubits and sophisticated algorithms, facilitated the acquisition of detailed information regarding the electronic structure, bonding mechanisms, and spectroscopic properties of the diatomic molecules.
A Luta pelos Direitos Humanos: Cartografia da Atuação da Comissão Interamericana de Direitos Humanos em Casos Contra a República Federativa do Brasil
Authors: Mendonça Filho Marajá João Alves de , Ferreira Fernanda Busanello , Dutra e Silva Sandro
Published: November 2024

O Brasil enquanto país continental é caracterizado por grandes áreas de preservação ambiental e abundante quantidade de solos e climas apropriados ao agronegócio. Desta forma, não deveria ter conflitos fundiários e nem sofrer com casos de violência contra seus cidadãos por tal motivo. Infelizmente a violência é algo presente no país e alguns casos mais emblemáticos chegam a tribunais internacionais, como os abordados nesse artigo, que é fruto de pesquisa desenvolvida durante o estágio pós-doutoral no Programa de Pós-Graduação Interdisciplinar em Direitos Humanos - PPGIDH da Universidade Federal de Goiás. O presente artigo tem por objetivo analisar os casos em que o Brasil figura como réu na Corte da Comissão Interamericana de Direitos Humanos. Dentre os diversos casos denunciados, onze foram acolhidos pela corte, alguns já foram julgados enquanto outros encontram-se em tramitação. Ao longo dos estudos foram elaborados seis mapas e quatro quadros visando a melhor análise e entendimento dos casos por estado, com especial ênfase na quantidade, localização, cronologia dos acontecimentos, tipificação penal e demandantes. Constatou se que a Região Centro Oeste é a única que não teve casos tramitados na Corte CIDH, enquanto as Regiões Nordeste, Norte, Sudeste e Sul, nesta ordem, foram as que mais apresentaram casos. Os casos ocorreram entre 1972 e 2009, o tempo médio de tramitação é de aproximadamente 11 anos e quatro casos ainda aguardam julgamento. Os resultados encontrados nos permitem identificar padrões de ocorrências e suas respectivas localizações, contribuindo para a atuação dos órgãos de segurança e justiça do estado brasileiro, visando não apenas a aplicação das penas, mas também, permitindo a atuação preventiva em prol da paz, justiça social e proteção do ambiente.
A Interseção entre Legística e Princípios Ambientais: Caminhos para a Criação de Normas Sustentáveis Efetivas
Authors: Costa Raphael Melazzo de Faria , Dutra e Silva Sandro , Menezes Júnior Eumar Evangelista de
Published: November 2024

Este artigo investiga a relevância da legística e dos princípios ambientais na formulação de normas legais e infralegais direcionadas à proteção do meio ambiente. O objetivo central é evidenciar como a aplicação rigorosa de técnicas legislativas e a incorporação de princípios ambientais fundamentais, como Prevenção, Precaução e Poluidor-Pagador, podem resultar em políticas públicas mais robustas e sustentáveis. Utilizando um método dedutivo, ancorado em uma análise aprofundada de fontes bibliográficas e documentais, a pesquisa enfrenta os desafios teóricos e metodológicos inerentes à criação de normas ambientais, sublinhando a necessidade de uma abordagem verdadeiramente interdisciplinar. Os achados da pesquisa revelam que a efetividade das leis ambientais é significativamente aprimorada pela integração de avaliações legislativas prévias, consultas públicas amplas e técnicas aprimoradas de redação normativa, culminando na elaboração de um arcabouço legal que assegura a proteção integral e duradoura do meio ambiente.
Religia starożytnych Izraelitów w czasach podzielonej monarchii w świetle inskrypcji z Kuntillet ‘Ajrud i tradycji żydowskiej
Authors: Mączyński Tomasz
Published: November 2024

W latach 70. XX w. zespół archeologów z Uniwersytetu w Tel Awiwie prowadził badania na stanowisku w Kuntillet ‘Ajrud. Znaleziono tam pochodzące z VIII w. p.n.e. inskrypcje, spośród których część stanowiły błogosławieństwa „przez imię Jahwe i jego aszerę”. Te  ostatnie słowa mogą stanowić dowód nie tylko na utrzymywanie się politeizmu wśród Izraelitów w okresie podzielonej monarchii, ale także na to, iż – według ich wierzeń – małżonką Jahwe była bogini Aszera. Analiza tekstu biblijnego i innych źródeł żydowskich pokazuje, że słowo aszera może odnosić się do obiektu kultowego, a nie bogini, co znacząco zmienia wydźwięk inskrypcji.
„Drogi Paryż, który kocham” – Paryż drugiej połowy lat siedemdziesiątych XIX wieku w listach do matki Agenora Gołuchowskiego młodszego
Authors: Strzelczyk Agata
Published: November 2024

Artykuł poświęcony jest obrazowi Paryża lat siedemdziesiątych XIX wieku, jaki wyłania się z korespondencji Agenora Gołuchowskiego młodszego. Gołuchowski, późniejszy minister spraw zagranicznych Austro-Węgier, był w tamtym czasie pracownikiem austro-węgierskiej ambasady w Paryżu i podczas kilkuletniego pobytu bardzo przywiązał się do miasta. W swoich listach opisuje panującą wówczas we Francji sytuację polityczną, swoje życie towarzyskie na paryskich salonach i widziane z jego perspektywy wydarzenia, takie jak zorganizowana w Paryżu w 1878 roku wystawa światowa.
Oficjum Ave Gmma Claritatis w źródłach XIII-XVI wieku
Authors: Grajewski Czesław
Published: November 2024

Autor analizuje oficjum Ave gemma claritatis o św. Katarzynie Aleksandryjskiej. Występuje ono w niewielu źródłach, głównie z terenu Francji i centralnej Europy (Polska, Węgry). Autor wydzielił sześć zasadniczych grup manuskryptów i starodruków, w których repertuar śpiewów jest zbliżony.  Materiał analityczny pokazuje, że układ antyfon w oficjum był bardziej stabilny niż układ responsoriów. Najbardziej odpornymi na zmiany okazały się Laudesy.
Finansowe i pozafinansowe aspekty prowadzenia gospodarki wodnej w majątkach kanoników regularnych z Żagania do początku XVI wieku
Authors: Witczak Zbigniew
Published: November 2024

Kanonicy regularni odegrali w średniowieczu na Śląsku ważną rolę nie tylko na polu religijnym, intelektualnym czy rozwoju szkolnictwa. Zajmowali się także działalnością gospodarczą, prowadząc różne aktywności na tym polu. Jedną z nich była hodowla ryb, która silnie powiązana była z rozbudową sieci stawów i innych akwenów. Wiązało się to nie tylko z zarabianiem na sprzedaży ryb, ale także na zapewnieniu ich dla kuchni wspólnoty. Opactwo żagańskie przywiązywało do tej formy gospodarowania szczególną wagę, a polityka klasztoru w zakresie hodowli ryb była dobrze przemyślana, zorganizowana i miała zabezpieczyć ten ważny obszar.
Makulatura introligatorska w oprawie Księgi urodzonych parafii Piotrowice k. Oświęcimia (1687-1750)
Authors: Konarska-Zimnicka Sylwia
Published: November 2024

Archiwum Diecezjalne w Kielcach posiada bogaty zasób archiwaliów, w tym również liczne księgi metrykalne. Jednym z ostatnich nabytków jest Księga urodzonych z parafii Piotrowice k. Oświęcimia (1687-1750). Jest to typowa dla końca XVII i I połowy XVIII wieku księga urodzonych mająca format tzw. dudki, w której zapiski prowadzone były rokrocznie od 1685 roku do roku 1732. Wtedy kończą się wpisy ochrzczonych. Późniejsze zapiski nie mają związku z przeznaczeniem księgi. Równie ciekawy materiał źródłowy stanowi także tzw. makulatura introligatorska, która została użyta do wzmocnienia księgi. W tym celu użyto trzech egzemplarzy kalendarza astrologicznego na rok 1678. Jego autorem był krakowski uczony Stanisław Słowakowic. Zachowane fragmenty miejscami ubytkowanych kart dają wgląd w stosowaną w kalendarzu symbolikę. Stan zachowania jest zły, co uniemożliwia jego całościowe odczytanie. Jednakże ze względu na fakt, iż wykorzystane do wzmocnienia księgi urodzonych kalendarze stanowią niezwykle ciekawe źródło do poznania tzw. życia codziennego ówczesnego społeczeństwa, odkrycie to jest równie cenne, jak sama księga urodzonych.
Therapeutic Effectiveness of Prunus dulcis for Nephroprotective and Hepatoprotective in Albino Mice
Authors: Sharma Rajesh Kumar , Jha Nidhi , Mishra Anurag , Singh Gamdur , Sanwelka Madhvi , Gupta Ashish
Published: November 2024

Background:

Nephrotoxicity caused by GM is a complicated occurrence that results in a variety of structural and functional changes, including lesions in the
glomerular region and proximal tubule damage, which leads to sudden kidney failure. The production of reactive oxygen species (ROS) has also
been linked to GM. Acute hepatic impairments caused by medication might lead to rapid deterioration of liver function.

Objective:

The purpose of this study was to evaluate the suspension of nuts of Prunus dulcis at a lower dose (800 mg/kg, b.w.) and a higher dose (1600
mg/kg, b.w.) for nephroprotective and hepatoprotective activities.

Materials and Methods:

Drug-induced nephrotoxicity and drug-induced hepatotoxicity models were used to evaluate the nephroprotective and hepatoprotective activity
using albino mice. A histopathological study was also performed.

Results:

Suspension of nuts Prunus dulcis exhibited significant nephroprotective and hepatoprotective activity. Suspension of nuts from Prunus dulcis at a
higher dose (1600 mg/kg b.w.) showed higher nephroprotective and hepatoprotective activity compared to the lower dose (800 mg/kg). The
nephroprotective activity was evident by decreased serum creatinine, uric acid, serum urea, and BUN, which were confirmed by histological study.
The hepatoprotective effect was confirmed by significantly decreased serum alanine transaminase (ALT), aspartate transaminase (AST), alkaline
phosphatase (ALP), total protein, and total bilirubin levels in treated groups, which were further confirmed by histopathological study.

Conclusion:

The result suggests that Prunus dulcis possesses nephroprotective and hepatoprotective activities.
Phaleria macrocarpa Fruit Flavonoid Extract on Estrogen Receptor Alpha Expression in Ovariectomized Mice
Authors: Wijaya Dyah Ayu Septika , Sutrisno Sutrisno , Irwanto Yahya , Anita Kenty Wantri
Published: November 2024

Menopause signifies the cessation of ovarian function, presenting significant health challenges for women globally. Hormonal shifts during menopause impact various systems, including cardiovascular and reproductive health. Changes in reproductive organs increase susceptibility to health issues, necessitating effective management strategies. This study used a true experimental method with a randomized post-test-only control group design to investigate the potential of Phaleria macrocarpa fruit extract, which contains flavonoids, to modulate Estrogen Receptor Alpha (ERa) expression in menopausal mice. Following ovariectomy (OVX), mice treated with flavonoid showed increased ERa expression, with the highest expression observed at a dose of P2 (7.5 mg/mice/day), approaching those in non-OVX control (K-) with a percentage difference of 29.82%. Compared to the OVX control group (K+), the percentage increase was 2387.74%. Therefore, the P2 dose is considered the optimum dose. Regression analysis revealed a significant correlation of 43.3% between flavonoid dosage and ERa expression (p < 0.05). These findings suggest flavonoids as promising natural Selective Estrogen Receptor Modulators (SERMs) for managing menopausal symptoms and reducing endometrial disease risk with ERa modulation. Further research is needed to elucidate the mechanisms of flavonoids, including molecular pathways such as ligand binding and transcription, interactions with other hormones like progesterone, long-term effects, and potential clinical applications. To initiate clinical trials, the author established the P1 dose (3.75 mg/mice/day), which demonstrated expression levels approaching the effects produced by P2. Overall, flavonoids offer potential therapeutic benefits in addressing menopausal health concerns, with the identified optimal dosage providing valuable guidance for future studies and clinical interventions.
Effectiveness of Banana Blossom Consumption and Oxytocin Massage in Breastfeeding Mothers on Infant Weight Gain
Authors: Intan Dara , Hastuti Novianti Tri , Indrawan I Wayan Agung , Wardani Diadjeng Setya
Published: November 2024

Weight gain serves as one of the indicators of the effectiveness of breastfeeding. Stimulation methods, such as consuming banana blossom and receiving oxytocin massage, have the potential to enhance breast milk production. This research aims to compare the effectiveness of these two interventions, banana blossom consumption and oxytocin massage, in breastfeeding mothers regarding infant weight increase at Dinoyo Health Center in Malang. Previous studies have demonstrated that both interventions can enhance breast milk production and infant weight; thus, this study focuses on determining which intervention is more effective. The study employed a true experimental design without a control group, utilizing a pre- and post-intervention approach during the postpartum period from days four to ten. This timeframe was selected because hormone levels, such as progesterone and estrogen, decrease, allowing for a more rapid increase in prolactin production. This approach aims to ensure that infants receive exclusive breastfeeding while promptly addressing any issues related to breast milk production. A total of 32 participants were selected through purposive sampling, with weight measurements taken at the beginning and end of the intervention. The results of the paired t-test indicated that infants of mothers who consumed banana blossom experienced an average weight gain of 246.75 g (p = 0.000). In contrast, infants whose mothers received oxytocin massage showed a weight gain of 217.81 g (p = 0.000). Further analysis with an independent t-test revealed that the consumption of banana blossom was more effective in increasing infant weight, with a mean difference in weight gain of 28.94 g (p = 0.045). This analysis confirmed a significant difference in weight gain between the two groups: mothers who consumed banana blossom had a greater increase in their infants’ weight. Future research is encouraged to explore the effectiveness of various banana blossom preparations and analyze their nutritional content to identify the most effective preparation for improving infant weight.
Impact of Some Natural Resources on Biological Aspect of Tuta absoluta M. Under Laboratory and Green House Conditions With Reference to its Enzymatic Activity
Authors: Moawad Sawsan S.
Published: November 2024

This study was targeted to test four vegetable oils namely (Ruta chalepensis, Azadirachta indica, Simmondsia chinensis, Nigella sativa K.L.) against tomato leaf miner Tuta absoluta under laboratory and field conditions, in addition to record its effect on their enzymatic activities. The data illustrated that N. sativa and R. chalapensis caused the highest reduction in eggs hatchability, mortality larval instars and moderate effect in larval penetration under laboratory condition. On other side, the field evaluation was noticed that the most effective one was S. chinensis followed by A. indica and R. chalepensis which recorded reduction in insect infestation reach to ≥ 72 % on sprayed green part. On other hand, the least fruit infestation was recorded in case of treatments by R. chalepensis followed by S. chinensis, A. indica and N. sativa. The enzymatic analysis was given spot light on the reason of the variation in the effect among the tested oils toward 4th larval instars. Data was showed that the compounds reduced the enzymatic activities, which might suggest a poor defense mechanism in the detoxification of the used oils.
Dinámicas comerciales del arroz en la ciudad de Cartagena de Indias: circulación y abastecimiento en la segunda mitad del siglo XVIII
Authors: Alcazar Gómez Andrés Felipe
Published: November 2024

Este artículo examina elementos fundamentales del suministro y distribución del arroz en la ciudad de Cartagena durante la segunda mitad del siglo xviii. Al final del período colonial, la ciudad atravesó por momentos de intensa especulación, en los que actividades ilícitas como el acaparamiento y la reventa desempeñaron un papel crucial en las dinámicas de oferta y demanda de este importante grano. Además, los fenómenos naturales y la ineficiencia del cabildo influyeron significativamente en estos procesos, afectando la producción y disponibilidad del arroz.
Development novice teachers’ higher-order thinking skills through online problem-based learning platform: A mixed methods experimental research
Authors: Fongkanta Pongwat , Buakanok Fisik Sean
Published: November 2024

One key competency in teaching profession is the ability to think at a higher level. Therefore, it is important to understand how to develop and refine effective training approaches for novice teachers. This study examined the novice teachers’ higher-order thinking skills development through online problem-based learning platform and analyzed the level of novice teachers’ higher-order thinking skills. The research involved 57 novice teachers participating in the research for learning development courses. The mixed method experimental design was employed in this study. Data were collected by using multiple choice tests and self-report reflective thinking forms. Descriptive statistics were used to analyze novice teachers’ HOTS. The t-test was conducted to evaluate mean differences among the novice teachers’ HOTS. Content analysis was used to code and categorize themes and pattern of HOTS perception. Results revealed that novice teachers have shown improvement in higher-order thinking skills include the problem solving, critical thinking, creative thinking sub-skills through online problem-based learning approach. Their proficiency in HOTS significantly increased, t(57) = 17.72, p .001, with a high portion achieving advanced levels. Furthermore, they gained the positive perspective in employing online PBL for HOTS development.
Comparing the Quality of Direct-to-Consumer Telemedicine Dominated and Delivered by Public and Private Sector Platforms in China: Standardized Patient Study (Preprint)
Authors: Song Faying , Gong Xue , Yang Yuting , Guo Rui
Published: November 2024

BACKGROUND

Telemedicine is expanding rapidly, with public direct-to-consumer (DTC) telemedicine representing 70% of the market. A key priority is establishing clear quality distinctions between the public and private sectors. No studies have directly compared the quality of DTC telemedicine in the public and private sectors using objective evaluation methods.

OBJECTIVE

Using a standardized patient (SP) approach, this study aimed to compare the quality of DTC telemedicine provided by China’s public and private sectors.

METHODS

We recruited 10 SPs presenting fixed cases (urticaria and childhood diarrhea), with 594 interactions between them and physicians. The SPs evaluated various aspects of the quality of care, effectiveness, safety, patient-centeredness (PCC), efficiency, and timeliness using the Institute of Medicine (IOM) quality framework. Ordinary least-squares (OLS) regression models with fixed effects were used for continuous variables, while logistic regression models with fixed effects were used for categorical variables.

RESULTS

Significant quality differences were observed between public and private DTC telemedicine. Physicians from private platforms were significantly more likely to adhere to clinical checklists (adjusted β 15.22, P<.001); provide an accurate diagnosis (adjusted odds ratio [OR] 3.85, P<.001), an appropriate prescription (adjusted OR 3.87, P<.001), and lifestyle modification advice (adjusted OR 6.82, P<.001); ensure more PCC (adjusted β 3.34, P<.001); and spend more time with SPs (adjusted β 839.70, P<.001), with more responses (adjusted β 1.33, P=.001) and more words (adjusted β 50.93, P=.009). However, SPs on private platforms waited longer for the first response (adjusted β 505.87, P=.001) and each response (adjusted β 168.33, P=.04) and paid more for the average visit (adjusted β 40.03, P<.001).

CONCLUSIONS

There is significant quality inequality in different DTC telemedicine platforms. Private physicians might provide a higher quality of service regarding effectiveness and safety, PCC, and response times and words. However, private platforms have longer wait times for their first response, as well as higher costs. Refining online reviews, establishing standardized norms and pricing, enhancing the performance evaluation mechanism for public DTC telemedicine, and imposing stricter limitations on the first response time for private physicians should be considered practical approaches to optimizing the management of DTC telemedicine.
Development and Refinement of a Chatbot for Birthing Individuals and Newborn Caregivers: Mixed Methods Study (Preprint)
Authors: Rivera Rivera Jessica Nathalie , AuBuchon Katarina E , Smith Marjanna , Starling Claire , Ganacias Karen G , Danielson Aimee , Patchen Loral , Rethy Janine A , Blumenthal H Joseph , Thomas Angela D , Arem Hannah
Published: November 2024

BACKGROUND

The 42 days after delivery (“fourth trimester”) are a high-risk period for birthing individuals and newborns, especially those who are racially and ethnically marginalized due to structural racism.

OBJECTIVE

To fill a gap in the critical “fourth trimester,” we developed 2 ruled-based chatbots—one for birthing individuals and one for newborn caregivers—that provided trusted information about postbirth warning signs and newborn care and connected patients with health care providers.

METHODS

A total of 4370 individuals received the newborn chatbot outreach between September 1, 2022, and December 31, 2023, and 3497 individuals received the postpartum chatbot outreach between November 16, 2022, and December 31, 2023. We conducted surveys and interviews in English and Spanish to understand the acceptability and usability of the chatbot and identify areas for improvement. We sampled from hospital discharge lists that distributed the chatbot, stratified by prenatal care location, age, type of insurance, and racial and ethnic group. We analyzed quantitative results using descriptive analyses in SPSS (IBM Corp) and qualitative results using deductive coding in Dedoose (SocioCultural Research Consultants).

RESULTS

Overall, 2748 (63%) individuals opened the newborn chatbot messaging, and 2244 (64%) individuals opened the postpartum chatbot messaging. A total of 100 patients engaged with the chatbot and provided survey feedback; of those, 40% (n=40) identified as Black, 27% (n=27) identified as Hispanic/Latina, and 18% (n=18) completed the survey in Spanish. Payer distribution was 55% (n=55) for individuals with public insurance, 39% (n=39) for those with commercial insurance, and 2% (n=2) for uninsured individuals. The majority of surveyed participants indicated that chatbot messaging was timely and easy to use (n=80, 80%) and found the reminders to schedule the newborn visit (n=59, 59%) and postpartum visit (n=66, 66%) useful. Across 23 interviews (n=14, 61% Black; n=4, 17% Hispanic/Latina; n=2, 9% in Spanish; n=11, 48% public insurance), 78% (n=18) of interviewees engaged with the chatbot. Interviewees provided positive feedback on usability and content and recommendations for improving the outreach messages.

CONCLUSIONS

Chatbots are a promising strategy to reach birthing individuals and newborn caregivers with information about postpartum recovery and newborn care, but intentional outreach and engagement strategies are needed to optimize interaction. Future work should measure the chatbot’s impact on health outcomes and reduce disparities.

CLINICALTRIAL
Émile Zola’s Thérèse Raquin: A study of the novel from a psychoanalytical perspective
Authors: Giordano Giuseppe
Published: November 2024

Émile Zola was a French novelist, affiliated with the literary movement of Naturalism, who was interested in an objective and scientific study of reality, an approach to literature which was at first very much debated and criticised. The investigation of literary works from a psychoanalytical perspective is commonly conceived as the examination of the hidden meanings of a text in relation to the author, to the personality of the characters of a novel, poetry or play and to the cognitive and emotional effects of the literary composition on the reader. The purpose of this paper is the investigation of the two main characters of Zola’s novel Thérèse Raquin, Thérèse and Laurent, from a psychoanalytical point of view in relation to their single personalities, the dynamics of their relationship and to the problem of guilt associated with the criminal act.
Teaching and Learning German as a Foreign language in the age of Artificial Intelligence: Possibilities and challenges of integrating AI technologies
Authors: Shivani Shivani
Published: November 2024

We are living in the age of Artificial Intelligence (AI) and it is here to stay. In recent years, digital technologies and technology-enhanced language learning have become central to the field of education. Among the latest advancements, Artificial Intelligence has emerged as a prominent term across nearly all industries and is generating increasing interest. AI is becoming relevant in lot of industries but how can it be applied to language teaching and learning? This technology has changed the way we learn. This paper seeks to discuss the potential and limitations/challenges of AI technologies in foreign language learning. Should we see AI as an assistance tool or replacement? Will they replace the teachers or will they redefine the role of the teachers? Can we completely rely on Chat Generative Pre-trained Transformer (ChatGPT), an artificial intelligence-generated text (AI-generated text) model that is based on Artificial intelligence (AI) to learn German as a foreign language? These are few questions that will be reflected upon and discussed ahead in this paper.
Stewart Duncan, Materialism from Hobbes to Locke
Authors: Hill Benjamin , Stainton Robert
Published: November 2024

Stewart Duncan, Materialism from Hobbes to Locke, Oxford University Press, Oxford, 2022, 248pp., ISBN: 9780197613009
Docentes y violencias sexistas en la universidad
Authors: Mingo Araceli
Published: November 2024

El sexismo en sus diversas manifestaciones, ya sean sutiles o abiertas, y la violencia hacia las mujeres que éstas comportan ha estado presente a lo largo del tiempo en las instituciones de educación superior y ha dejado hondas huellas en la atmósfera en la que se desenvuelven quienes participan en estos centros de enseñanza. Ejemplos de tales manifestaciones se aprecian en los datos que se incluyen en este artículo, obtenidos mediante una encuesta aplicada en 2019 a una muestra representativa de la población estudiantil de la Universidad Nacional Autónoma de México (UNAM). El artículo centra la atención en prácticas observadas en el personal docente y dan cuenta de la significativa participación de este sector, especialmente de los varones, en la comisión de diversas conductas que, además de lesionar a quienes son blanco directo de las mismas, generan un clima adverso para el desenvolvimiento del estudiantado.
Resistencia al cambio y confianza en los procesos de enseñanza para la innovación en educación secundaria y media en Colombia
Authors: Mercado Borja William Enrique , Calle Álvarez Gerzon Yair , Barrera Navarro Juancri Rusbel , Mosquera Mosquera Carlos Enrique
Published: November 2024

Este artículo estudia cuánto influye la confianza para efectuar acciones innovadoras con tecnología en la frecuencia e intención de dichas acciones en la enseñanza en el contexto colombiano. También, se analizan las relaciones entre resistencia al cambio y confianza en los procesos de enseñanza del docente con la utilidad percibida, la facilidad de uso y la intención de uso de acciones innovadoras mediadas con tecnologías de la información y la comunicación(TIC). El enfoque es cuantitativo y no experimental. Participaron docentes de educación básica secundaria y media a través de un cuestionario en línea. Se encontraron correlaciones significativas entre la resistencia al cambio y la confianza con la intención de uso. Se concluye que la resistencia al cambio se puede modificar mediante el fomento de la confianza y la capacitación en el uso de estrategias innovadoras, así como con la creación de entornos que favorezcan la intención de emplear dichas acciones.
Inclusión y exclusión en la escuela
Authors: Ferrada Hurtado Rocío , Otárola Cornejos Fabiola
Published: November 2024

El artículo muestra las características que las y los docentes atribuyen a los estudiantes “incluidos” y “excluidos” en sus escuelas, obtenidas de un cuestionario aplicado a 180 docentes de establecimientos públicos de la región de Valparaíso y Metropolitana (Chile). Las respuestas revelan el predominio de características de tipo “escolar” para definir la cualidad de incluido de un estudiante (buen rendimiento, buen comportamiento, respeto a las normas), en detrimento de características que derivarían del modelo normativo de inclusión escolar. En complemento, se desprende de estas respuestas docentes una noción equívoca de inclusión, y su comprensión como un artificio, en el sentido de asociarla con acciones dirigidas a remediar la distancia de ciertos estudiantes respecto de las normas escolares.  Se concluye la necesidad de estudiar el uso práctico que los docentes hacen de estas calificaciones y sus consecuencias en términos de inclusión escolar.
IOT-Powered Automatic Irrigation System and Soil Monitoring
Authors: Kota Haripal Reddy
Published: November 2024

There will be a severe food shortage in 25 to 30 years due to India's population of over 1.2 billion people and its daily population growth, necessitating the development of agriculture. Because there isn't enough rain, farmers now face the challenge of water scarcity. Giving farmers access to an automated irrigation system that saves them time and money is the primary goal of this project. The Traditional farmland irrigation methods necessitate human involvement. Irrigation technology that is automated can reduce the need for human intervention. Using a widely used technology known as the "Internet of Things," the sensor detects changes in the soil's humidity and automatically irrigates the field. The project is affordable and uses basic IoT technology, making it possible even in underdeveloped areas.
Developing a Scalable Public Bus Tracking System with IOT Technology
Authors: Venkatapathi Pallam
Published: November 2024

Due to erratic schedules, millions of commuters lose important time waiting for public transportation. This study suggests a method based on the Internet of Things (IoT) to improve the dependability of public transit. Our method gives precise anticipated arrival times at bus stops and destinations by utilizing road conditions and real-time bus location data. Our approach provides an economical and effective substitute for conventional GPS-based tracking systems by utilizing the internet-enabled devices that are already on buses and a scalable Message Queue Telemetry Transport (MQTT) backend. Simple access to location data is made possible by an intuitive web interface, SMS, and Android application. By addressing the scalability issues with current solutions, our method guarantees a stable and dependable public transit experience.
The Newton-Raphson Method: A Detailed Analysis
Authors: Gawade Shashank
Published: November 2024

The Newton-Raphson method is one of the most popular iterative techniques for solving equations of the form f(x)=0. It is widely used in numerical analysis due to its efficiency and rapid convergence properties when the initial guess is sufficiently close to the true root. This paper explores the underlying theory of the Newton-Raphson method, its mathematical formulation, convergence criteria, and practical applications. Additionally, we examine its advantages and limitations providing insight into the conditions necessary for its optimal performance.
Prompt Optimization for AI-Powered Recipe Generation: Challenges and Insights
Authors: Jha Aadya
Published: November 2024

In today's digital age, artificial intelligence (AI) is transforming the culinary landscape by enabling personalized recipe generation. AI-powered recipe generation systems can offer tailored cooking solutions based on user preferences, dietary restrictions, and ingredient availability. However, achieving optimal results remains challenging due to the inherent complexity of natural language processing (NLP) in generating coherent, contextually relevant recipes. This paper investigates the prompt engineering techniques employed to enhance the accuracy and creativity of AI-based recipe generation models. By exploring various prompt structures and model fine-tuning methods, this research highlights how subtle adjustments in prompt design can significantly influence the quality and relevance of generated recipes. The study utilizes a diverse dataset of ingredients, cuisines, and dietary requirements, and examines models including GPT-Neo and GPT-3. Key findings reveal that effective prompt optimization can improve recipe coherence, ingredient compatibility, and instruction clarity. Challenges encountered include managing model verbosity, reducing ingredient redundancy, and achieving cultural or cuisine-specific accuracy. This research underscores the importance of prompt engineering in refining AI-generated content within the culinary domain. Future work will focus on integrating user feedback to dynamically adjust prompts and exploring multimodal AI approaches for enhanced visual and textual recipe generation.
Aceh Besar12 تطبيق طريقة القصة بالصور لترقية قدرة الطلبة على سيطرة مفردات اللغة العربية بالمدرسة الابتدائية
Authors: Ulqatari Delvi , A. Samad Baihaqi , Ridha Muhammad
Published: November 2024

إن أهداف هذا البحث للتعرف على أنشطة الطلبة والمدرس عند تطبيق طريقة القصة بالصور والتعرف على فعال طريقة القصة بالصور في ترقية قدرة الطلبة على سيطرة مفردات اللغة العربية. أما المجتمع في هذا البحث الطلبة بالمدرسة الابتدائية 12 وكان عددهم 150 طالبا. والعينة في هذا البحث هو الطلاب من الفصل الخامس وعددهم 25 طالبا. الأدوات التى استخدمتها الباحثة لجمع البيانات هي قائمة الملاحظة وقائمة الاختبارات التي تتعلق بالاختبار القبلي والبعدي باستخدام تحليل البيانات الإحصاء الوصفي، والاختبار – ت مزدوجة، باستعانةSPSS 22 . وأما نتائج هذا البحث فتدل أن أنشطة الطلاب والمدرس تحصل على الدرجة جيد جدا عند تطبيق طريقة القصة بالصور، لأن الدرجة المحصولة من الملاحظة المباشرة تحصل على الدرجة 87% و 90% . هذه الدرجة تدل على أنها في الحد 81-100 % وحصلت على درجة جيد جدا.وإن تطبيق طريقة القصة بالصور فعال لترقية قدرة الطلبة على سيطرة المفردات. والدليل على هذا أن نتيجة من الاختبار ت ((Uji paired sample T-test 15،535- بمستوى الدلالة (Sig) 0،05 > 0،00.
تأثير نموذج التعليم التعاوني بنوع جيكساو في فهم النصوص العربية الطلاب في مدرسة الزمرية المتوسطة القرآنية الإسلامية الداخلية سيمالانجانج
Authors: Octaviani Aulindri , Dewi Yelfi , Husni Arman , Anas Al Baihaqi
Published: November 2024

Learning model is one of the methods used by teachers to improve learning activities, especially in learning Arabic. Based on the initial observations, the researchers saw that in learning activities student had difficulty understanding Arabic texts, students’ enthusiasm for learning was reduced, student were not active in learning and teachers still used tradisional learning models. Therefore, researchers are interested in trying to use a learning model that is suitable for use in this study. One of them is the Jigsaw tipe cooperative learning model. Jigsaw type of cooperative learning model is a learning model that requires active students, eager to learn in small groups. The purpose of this study is to determine whether there is an effect or not using the Jigsaw type cooperative learning model on students’ understanding of Arabic texts. In this study, the researcher used a true experimental design with the post test only control group design. While the tools to collect data used by researchers are observation, interviews and post test exams. This research data is a quantitative descriptive research. As for the population and samples in this study, all 7th grade students of SMPQ al-Zamriyah Islamic Boarding School Simalanggang. Which consists of 2 classes, namely class A and class B. The total number of students is 40 peoples. The results of this study show that data analysis using the t-table test at the level of 5% (0,05) t-count > t-table, which is 5,873 > 2,024. So, the conclusion in this study is that the Jigsaw type of cooperative learning model has an effect on understanding Arabic texts for 7th grade students at SMPQ al-Zamriyah Islamic Boarding School.
بندا أتشيه MTsN Rukoh على ترقية مهارة القراءة عند الطلاب ب Problem Based Learning فعالية تطبيق
Authors: Muharram Fivi , Idris Aisyah , Ninoersy Tarmizi
Published: November 2024

The subject of this research is "The Effectiveness of Problem Based Learning on Promoting Students' Reading Skills at MTsN Rukoh Banda Aceh". One of the reasons that led the researcher to write this thesis is that some students during the process of teaching and learning are having trouble reading and can not read the correct reading and sound. Some characters do not match their output. The objectives of this thesis are to identify the effectiveness of Problem Based Learning in promoting students 'reading skills and to identify students' problem based learning activities on reading instruction. The research method used by the researcher in writing this thesis is empirical research. In the data collection, the researcher taught the Arabic language by direct testing and observation. The results of research obtained by the researcher in this thesis is that the application of Problem Based Learning is effective in promoting the reading skills of students. The difference between the control group and the experimental group is 11.962, and the result of student activities in Problem Based Learning is 89.70.