bluuebunny/crossref_metadata_2025_split huggingface dataset:
Targeted Marketing on Social Media: Utilizing Text Analysis to Create Personalized Landing Pages
Authors: Çetinkaya Yusuf Mücahit , Külah Emre , Toroslu İsmail Hakkı , Davulcu Hasan 
Published: March 2023

Abstract

The proliferation of social media has rendered it a critical arena for online marketing strategies. To optimize conversion rates, the landing pages must effectively respond to a visitor segment's pain points that they need solutions for. A one-size-fits-all approach is inadequate since even if the product meets the needs of all consumers, their priorities may diverge. In this study, we propose a pipeline for creating personalized landing pages that dynamically cater to visiting customers' specific concerns. As a use case, a pipeline will be utilized to create a personalized pharmacy discount card landing page, serving for the particular needs of chronic diabetics users seeking to purchase needed medications at a reduced cost. The proposed pipeline incorporates additional stages to augment the traditional online marketing funnel including acquisition of salient tweets, filtration of irrelevant ones, extraction of themes from relevant tweets, and generation of coherent paragraphs. To collect relevant tweets and reduce bias, Facebook groups and pages relevant to individuals with diabetes were leveraged. Pre-trained models such as BERT and RoBERTa were used to cluster the tweets based on their similarities. GuidedLDA exhibited superior performance in identifying customer priorities. Human evaluations revealed that personalized landing pages were more effective in getting the attention, building attraction by addressing their concerns and engaging the audiences. The proposed methodology offers a practical architecture for developing customized landing pages considering visiting customers' profiles and needs.
Switched diffusion processes for non-convex optimization and saddle points search
Authors: Journel Lucas , Monmarché Pierre 
Published: March 2023

Abstract
We introduce and investigate stochastic processes designed to find local minimizers and saddle points of non-convex functions, exploring the landscape more efficiently than the standard noisy gradient descent. The processes switch between two behaviours, a noisy gradient descent and a noisy saddle point search. It is proven to be well-defined and to converge to a stationary distribution in the long time. Numerical experiments are provided on low-dimensional toy models and for Lennard-Jones clusters.
Predictors of mortality among under-five children in rural Ethiopia: a cross sectional study
Authors: Gebrerufael Gebru Gebremeskel , Hagos Bsrat Tesfay 
Published: March 2023

Abstract

Background The under-five children mortality (UFCM) is one of the major significant and sensitive indicators of the health status of the public. Although the world has seen a remarkable and substantial decrease in UFCM since 1990, its progression rate still remains alarmingly high in Sub-Saharan African (SSA) countries, particularly in Ethiopia. Therefore, this study aimed to assess predictors of mortality among under-five children in rural Ethiopia. Methods This study used a secondary data analysis of the 2019 Ethiopia Mini Demographic and Health Survey (EMDHS) report. A total of 4,425 under-five children selected at different stages were included in the final analysis. The Kaplan-Meier (K-M) and Cox proportional hazard (PH) model analyses were utilized to estimate survival time and to investigate the major predictors of mortality under-five children, respectively. An Adjusted Hazard Ratio (AHR) along with a 95% Confidence Interval (CI) was employed to measure the impact size and direction of the association. Results The study showed that 6.2% (95% CI: (5.43, 6.86)) of children died beforehand celebrating their fifth birthday in rural Ethiopia. The multivariable Cox PH regression model analysis revealed, predictors of large spacing preceding birth interval (16–26 months) (AHR = 0.61; 95% CI: (0.402–0.920)), 27–38 months (AHR = 0.72; 95% CI: (0.496–1.03)), and ≥ 39 months, multiple births (AHR = 3.9; 95% CI: (2.77–5.62)), being breastfeeding (AHR = 0.13; 95% CI: (0.099–0.162)), and unvaccinated child (AHR = 11.6; 95% CI: (1.62–83.1)) were significant predictors of under-five children mortality. Conclusions Still now, under-five children mortality remains alarmingly high in rural Ethiopia as compared to the global under-five children mortality rate. In the final multivariable Cox PH regression model analysis, birth type, preceding birth interval, vaccination of child, and breastfeeding were significant predictors of under-five children mortality. Additionally, attention should be given to multiple births, unvaccinated and non-breastfeeding children, as well as households’ better encouragement to having a large spacing preceding birth interval.
The development of an index to quantify mobility options
Authors: Henkel Franziska , Sommer Carsten 
Published: March 2023

Abstract
Mobility is indispensable for carrying out activities outside the home, such as working, shopping and education. Due to the spatial distances between the places where people pursue their activities, mobility is a prerequisite for social participation. From the point of view of transport science, the interaction of three elements primarily determine the restrictions on mobility-related participation. These are land use structure, transport infrastructure and services and also the characteristics of the individual, such as means of transport available to them or their abilities. In transport planning, accessibility is used as a common and widespread measure to determine people's participation opportunities. The assessment of accessibility is based on reachable destination opportunities and is accordingly often expressed in terms of travel time to these destination opportunities. Characteristics of the individual are not usually taken into account when assessing accessibility in the context of transport planning. Mobility options are defined as a person's ability to change location and thus include individual characteristics in addition to objective accessibility (based on transport supply and land use structure). This article discusses an index developed to quantify personal mobility options. This index can be used to show the deficits of previous transport planning, which result from exclusively applying objective accessibility. As an example, the index is applied to the town of Ronnenberg in the Hanover region in Germany. The results show that people at risk of poverty, for example, have significantly fewer mobility options than people not at risk of poverty.
Direct Thalamic Inputs to Hippocampal CA1 Transmit a Signal That Suppresses Ongoing Contextual Fear Memory Retrieval
Authors: Ratigan Heather , Krishnan Seetha , Smith Shai , Sheffield Mark 
Published: March 2023

Abstract
Memory retrieval of fearful experiences is essential for survival, but can be maladaptive if not appropriately suppressed. Fear memories can be acquired through contextual fear conditioning (CFC) which relies on the hippocampus. The thalamic subregion Nucleus Reuniens (NR) is necessary for contextual fear extinction and strongly projects to hippocampal subregion CA1. However, the NR-CA1 pathway has not been investigated during behavior, leaving unknown its role in contextual fear memory retrieval. We implement a novel head-restrained virtual reality CFC paradigm, and show that inactivation of the NR-CA1 pathway prolongs fearful freezing epochs, induces fear generalization, and delays extinction. We use in vivo sub-cellular imaging to specifically record NR-axons innervating CA1 before and after CFC. We find NR-axons become selectively tuned to freezing only after CFC, and this activity is well-predicted by an encoding model. We conclude that the NR-CA1 pathway actively suppresses fear responses by disrupting ongoing hippocampal-dependent contextual fear memory retrieval.
The Impact of Voice and Accountability in the ESG Framework in a Global Perspective
Authors: Costantiello Alberto , Leogrande Angelo 
Published: March 2023

Abstract
We estimate the value of Voice and Accountability-VA in the context of the Environmental, Social and Governance-ESG data of the World Bank using data from 193 countries in the period 2011-2021. We use Panel Data with Fixed Effects, Panel Data with Random Effects and Pooled Ordinary Least Squares-OLS. We found that the level of VA is positively associated, among others, to “Maximum 5-Day Rainfall”, and “Mortality Rate Under 5” and negatively associated, among others, to “Adjusted Savings: Natural Resources Depletion”, and “Annualized Average Growth Rate in Per Capita Real Survey Mean Consumption or Income”. Furthermore, we apply the k-Means algorithm optimized with the Elbow Method. We found the k-Means useless due to the low variance of the variable among countries with the result of a hyper-concentration of elements in a unique cluster. Finally, we confront eight machine-learning algorithms for the prediction of VA. Polynomial Regression is the best predictive algorithm according to R-Squared, MAE, MSE and RMSE. The level of VA is expected to growth on average of 2.92% for the treated countries.
JEL Codes: D7, D70, D72, D73, D78.
A logistic model to predict the rates of emergence agitation in pediatric patients after a cleft lip or palate surgery: a prospective study
Authors: Shi Yongle , Wan Xueli , Li Yaqin , Tian Li 
Published: March 2023

Abstract
Objectives:
To predict the occurrence rates and related factors that can lead to Emergence agitation (EA) among pediatric patients after a cleft lip or palate surgery.
Materials and Methods:
A prospective study was performed to analyze the influencing factors of EA amongst pediatric patients after cleft lip or palate surgeries. The cohort data were collected in the department of oral and maxillofacial surgery of a tertiary stomatological hospital in Chengdu, China, in which patient's demographic variables, monitorization recording of the patient's anesthesia and post-operative situations, and postoperative restlessness assessment records, etc were included.
Results:
One hundred ninety patients who aged from 3 months to 6 years old, underwent cleft lip/palate repair surgeries and were under general anesthesia participated in this study voluntarily. And this process was conducted from June 2020 to October 2020. The univariate analysis showed that the occurrence of EA was affected by weight, age, fasting duration, operation duration, anesthesia duration, usage of iodoform, and level of pain (p < 0.01). Logistic regression showed that age, fasting duration, operation duration, and level of pain influenced the occurrence of EA (p < 0.05).
Conclusions:
Age, operation duration, fasting duration, and level of pain could predict the occurrence of EA among postoperative pediatric patients.
Clinical Relevance:
EA impacts the safety of post-surgery pediatric patients under general anesthesia significantly. Age, operation duration, fasting duration, and level of pain could predict the occurrence of EA among postoperative pediatric patients.
Serological Evidence of Hbc Igm Virus Among Febrile Patients in Rumueme, Port Harcourt, Rivers State, Nigeria
Authors: Okonko Iheanyi Omezuruike , Chindah Jennifer Oroma 
Published: March 2023

AbstractHepatitis B surface antigen (HBsAg) testing is the only method currently used in laboratories to diagnose hepatitis B virus (HBV) infection in febrile patients. The South-South area of Nigeria does not currently have data on the prevalence of anti-HBc-IgM. The main goal of this study was to identify the serological evdience of anti-HBc-IgM markers among febrile patients in Port Harcourt, Nigeria. Following the manufacturer's standard operating procedures, 92 febrile patients were tested for HBc IgM antibody during cross-sectional research from November 2020 to October 2021. The prevalence of anti-HBc IgM antibodies (35.9%) and anti-HBc-IgM negatives was 64.1%. The prevalence of anti-HBc- IgM antibody was higher among older age groups (44.7%), females (53.3%), singles (42.9%), tertiary educational level (42.2%) and civil servants (47.4%). None of the variables evaluated was significantly associated with the prevalence of HBc IgM. This study shows that 35.9% febrile patients have anti-HBcIgM as the only serological evidence of HBV infection. This study identifies a possible danger of HBV transmission from febrile individuals who test positive for anti-HBc to the general population. Anti-HBc-IgM antibodies are prevalent in Port Harcourt among feverish patients. In Nigeria, screening patients who are feverish for anti-HBc IgM should be encouraged. This research represents the first evaluation of anti-HBc IgM in the South-South region of the nation.
Phylogenetically and physiologically diverse methanogenic archaea inhabit the Indian hot spring environments
Authors: Deore Kasturi , Dhakephalkar Prashant K. , Dagar Sumit Singh 
Published: March 2023

Abstract
Mesophilic and thermophilic methanogens belonging to the hydrogenotrophic, methylotrophic, and acetotrophic groups were isolated from Indian hot spring environments using BY and BCYT growth media. Following initial Hinf I based PCR-RFLP screening, 70 methanogens were sequenced to ascertain their identity. These methanogens were phylogenetically and physiologically diverse and represented different taxa distributed across three physiological groups, i.e. hydrogenotrophs (53), methylotrophs (14) and acetotrophs (3). Overall, methanogens representing three families, five genera, and ten species, including two putative novel species, were recognized. The highest number and diversity of methanogens was observed at 40℃, dominated by Methanobacterium (10; 3 species), Methanosarcina (9; 3 species), Methanothermobacter (7; 2 species), Methanomethylovorans (5; 1 species) and Methanoculleus (3; 1 species). Both putative novel methanogen species were isolated at 40℃ and belonged to the genera Methanosarcina and Methanobacterium. At 55℃, limited diversity was observed, and resulted in the isolation of only two genera of methanogens, i.e., Methanothermobacter (28; 2 species) and Methanosarcina (4; 1 species). At 70℃, only members of the genus Methanothermobacter (5; 2 species) were isolated, whereas no methanogen could be cultured at 85℃. Ours is the first study that documents the extensive range of cultivable methanogenic archaea inhabiting hot springs across various geothermal provinces of India.
Cultivation of rice and tiger shrimp system in brackish water induced land
Authors: Sahabuddin Sahabuddin , Agus Cahyadi , Nafisah Nafisah , Suryanto Suwoyo. H , Agus Nawang , Early Septiningsih , Hendrajat Erfan.A , Imam Taukhid , Andi Sahrijannah , Rosmiati Rosmiati , Herlinah Herlinah , Susianingsih Endang 
Published: March 2023

Abstract
Land that is displaced due to seawater intrusion is very much found in Indonesia, even in the world, usually rice fields adjacent to ponds. This study aims to try wasteland for the cultivation of rice and tiger shrimp with a brackish water system. The land used belongs to a farmer group that has not been used for the past ten years due to seawater intrusion, located in Oring Hamlet, Lawallu Village, Barru Regency, South Sulawesi Province, Indonesia. Owners leave their lands unproductive, often even diverted to anthropogenic activities. The abandoned land was reconstructed into rice fields for rice crops and trenches for tiger shrimp cultivation. The rice seeds used are saline tolerant, namely the INPARI-34 and INPARI-35 varieties obtained from the Sukamandi Indonesia Rice Seed Center, Ministry of Agriculture. Planted in the rice field after seeding for 25 days. Tiger shrimp post larvae have been adapted for 30 days at a salinity of 7 − 5 ppt (low salinity), with a dense spread of 4 individuals per m2 (traditional plus system). Integrated maintenance of rice and tiger shrimp, following the cultivation procedures, namely, rice weeding, eradication of rice pests and tiger shrimp, and additional fertilization. A sampling of rice and tiger shrimp growth and water quality selection is carried out every 14 days. The results showed that saline-tolerant rice varieties INPARI 34 and INPARI 35 can grow well in saltwater-induced fields with a rice maintenance period of 105 days. Tiger shrimp cultivation integrated with salt-tolerant rice varieties produces a survival value of 20%, and a body weight of 12 grams/individu for 65 days of cultivation.
First record of the Asian sand goby, Favonigobius gymnauchen (Bleeker, 1854) (Teleostei, Gobiidae) from Arabian coast of India and species confirmation through DNA barcoding of COI gene
Authors: Mumthaz TMV , Jaleel Abdul , PP Ragunathan , SM Ghosh , T Vinayan 
Published: March 2023

Abstract
The Asian sand goby, Favonigobius gymnauchen (Bleeker, 1854) (Teleostei, Gobiidae), is a gobiid fish native to estuarine and marine habitats of Western Pacific waters: Japan, Korean Peninsula, China, Southern Taiwan, Australia, Palau Island, Micronesia, Hong kong and Philippines. In the present study conducted in Jan-March 2021, F. gymnauchen were collected from Kavvayi backwater of Arabian Sea, Kerala, India. The genus and species identity of collected specimens were confirmed by morphological features and by the molecular analysis via. comparison of the mitochondrial COI genome. The molecular sequencing of mitochondrial COI genome yielded a 630 bp product on PCR amplification. The sequenced data were deposited in NCBI GenBank, with accession numbers MZ 505547.1 and OP 236548.1. The deposited COI gene fragments were perfectly matched with specific sequences of the species in NCBI GenBank. This is the first report of Asian sand goby, F. gymnauchen from the Arabian Sea coast of Kerala, India.
University students as early adopters of ChatGPT: Innovation Diffusion Study
Authors: Raman Raghu , Mandal Santanu , Das Payel , Kaur Tavleen , JP Sanjanasri , Nedungadi Prema 
Published: March 2023

Abstract

OpenAI's ChatGPT, an advanced AI-driven language model, is experiencing rapid adoption, with 100 million users in just three months. This study, involving 288 university students, aims to identify factors determining students' intentions to use ChatGPT in higher education, using Rogers' perceived theory of attributes as a framework. The study examines five factors influencing ChatGPT adoption: Relative Advantage, Compatibility, Ease of Use, Observability, and Trialability. Results indicate that five factors significantly influenced ChatGPT adoption. Students view it as innovative, compatible, and user-friendly. Students view ChatGPT as an innovative resource, enabling the independent pursuit of educational goals. Consequently, the benefits provided by ChatGPT in education motivate students to utilize the tool. The study's gender-based analysis reveals that male students prioritize compatibility, ease of use, and observability, while female students prefer the ease of use, compatibility, relative advantage, and trialability in ChatGPT adoption. Our study presents a sentiment analysis approach utilizing transfer learning and K-means, considering the impact of personal bias on expressed opinions. While the K-means algorithm can create distinct clusters (Neutral, Negative, and Positive), the accuracy demonstrates a bias towards the male gender. Understanding adopter categories, such as innovators and early adopters, can help strategize the successful diffusion of innovations like ChatGPT to different segments of society. However, its use in academia raises ethical concerns, such as diminished creativity and academic integrity violations. Similar to social media platforms' rapid diffusion, ChatGPT has the potential to transform communication and information-sharing. Factors like ease of use, accessibility, and connection capabilities contribute to both innovations' appeal. Analyzing social media platforms' diffusion can offer insights into ChatGPT's potential adoption trajectory.
Evaluation of Antioxidant, Antihyperglycemic, and Antihyperlipidemic Effects of the 80% Methanolic Extract of Datura stramonium Linn (Solanaceae) Leaves in Streptozotocin-Induced Diabetic Mice
Authors: Baylie Temesge , Tesfa Kibur Hunie , Tiruneh Markeshaw , Ayelgn Tiget , Kebad Assefa 
Published: March 2023

Abstract
Background. Diabetes mellitus is a metabolic disorder characterized by hyperglycemia with disturbances of carbohydrate, fat, and protein metabolism, resulting from defects in insulin secretion, insulin action, or both. Managing diabetes mellitus with currently available drugs is costly, and the chances of side effects are high, leading to further studies for new and better medications from plant sources with the affordable and lower side effects. This study aimed to evaluate the antioxidant, antihyperglycemic and, antihyperlipidemic effects of the 80% methanolic extract of Datura stramonium leaves in Streptozotocin-induced diabetic mice.
Methods. Male Swiss albino mice were induced into diabetes using 150mg/kg of STZ. The FBG measurements were done on 0, 7th, and 14th days of treatment. At the end of the experiment, on the 14th day mice were anesthetized with diethyl ether. Then, blood was drawn by cardiac puncture to assess TC, TG, LDL-C, and HDL-C. The antioxidant activity of the extract was determined using a DPPH assay. The data were entered into Epi-Data version 4.6, exported to SPSS version 26.0, and analyzed using a one-way ANOVA followed by a Tukey post hoc test. P < 0.05 was considered statistically significant.
Result. D.stramonium leaves extract showed significant blood-glucose-lowering activity. The extract of D.stramonium reduced the fasting blood glucose level by 19.71%, 30.27%, 40.95%, and 45.67%, respectively, for D. stramonium 100, 200, 400, and GLC 5 mg/kg on the 14th day of treatment. Diabetic mice treated with D.stramonium for 14 days showed a significant decrease in serum TC, LDL, and serum TG and a significant increase in body weight, and HDL level as compared to diabetic negative control. Antioxidant activities of the leaves extract were comparable to ascorbic acid with an IC50 of 172.79 µg/ml.
Conclusion. This study showed that D. stramonium leaves extract possesses significant anti-hyperglycemic, antihyperlipidemic and antioxidant activities.
A closed-form solution for the three-body problem and Sun-Earth-Moon orbit solution
Authors: Abdel-Rahman A. S. 
Published: March 2023

Abstract
The study of the motions of planets, satellites, and other celestial bodies is one of the important problems in basic physics and astronomy. The solution to the two-body problem enables astronomers to predict the orbits of the Moon, satellites, and spaceships around the Earth. The general analytic solution for the three-body problem stands unsolved except in some special cases, such as the Sun-Earth-Moon problem, in which the mass of the Moon is neglected. This reduces the problem to a two-body problem. In this work, the author presents a general solution to the problem in a closed form in terms of two basic particle-particle vectors. The position vector of each particle is expressed in terms of the center of mass and the two basic particle-particle vectors. This solution is used for studying the three-body problem with gravitational interaction without imposing the non-zero-total angular-momentum condition nor ignoring any masses. The Sun-Earth-Moon problem was solved in the general case and showed an expected orbital motion while a perturbation in Earth-Sun orbit due to the revolution of the Moon. This solution is the key for future studies for n-body problem solutions.