bluuebunny/crossref_metadata_2025_split huggingface dataset:
Future Orienteering Evaluation Model: forecasting, foresight and anticipation indices
Authors: Fasoli Giulia , Poli Roberto 
Published: September 2024

AbstractThe following paper adopts the term Future Orienteering to indicate the attitude of openness and preparedness to the future of individuals, communities and organisations. If Futures Studies wants to become an independent field of research, future skills need to be developed with appropriate training paths, and future attitudes and strategies need to be evaluated accurately. Thus, considering the necessity of a measurement system for the evaluation of strategic foresight and future-based activities, this article illustrates a new theoretical model, where special emphasis is placed on the distinction between Forecasting, Foresight and Anticipation, according to the Theory of Anticipation presented in (Poli, Introducing anticipation. In: Poli R (ed) Handbook of anticipation, 2019a); (Poli, Lavorare con Il futuro: idee e strumenti per governarel’incertezza, 2019b); (Poli, Introduction to anticipation studies, 2017). The result is a battery of three synthetic indexes, immediately readable to allow easy comparisons. Here, the following model described represents a preliminary stage in the development of an evaluation system, indeed few suggestions for use will be provided.
Lower social vulnerability is associated with a higher prevalence of social media-involved violent crimes in Prince George’s County, Maryland, 2018–2023
Authors: Bather Jemar R. , Silver Diana , Gill Brendan P. , Harris Adrian , Bae Jin Yung , Parikh Nina S. , Goodman Melody S. 
Published: September 2024

Abstract
Background
Social vulnerability may play a role in social media-involved crime, but few studies have investigated this issue. We investigated associations between social vulnerability and social media-involved violent crimes.

Methods
We analyzed 22,801 violent crimes occurring between 2018 and 2023 in Prince George’s County, Maryland. Social media involvement was obtained from crime reports at the Prince George’s County Police Department. Social media application types included social networking, advertising/selling, ridesharing, dating, image/video hosting, mobile payment, instant messaging/Voice over Internet Protocol, and other. We used the Centers for Disease Control and Prevention’s Social Vulnerability Index to assess socioeconomic status (SES), household characteristics, racial and ethnic minority status, housing type and transportation, and overall vulnerability. Modified Poisson models estimated adjusted prevalence ratios (aPRs) among the overall sample and stratified by crime type (assault and homicide, robbery, and sexual offense). Covariates included year and crime type.

Results
Relative to high tertile areas, we observed a higher prevalence of social media-involved violent crimes in areas with low SES vulnerability (aPR: 1.82, 95% CI: 1.37-2.43), low housing type and transportation vulnerability (aPR: 1.53, 95% CI: 1.17-2.02), and low overall vulnerability (aPR: 1.63, 95% CI: 1.23-2.17). Low SES vulnerability areas were significantly associated with higher prevalences of social media-involved assaults and homicides (aPR: 1.64, 95% CI: 1.02-2.62), robberies (aPR: 2.00, 95% CI: 1.28-3.12), and sexual offenses (aPR: 2.07, 95% CI: 1.02-4.19) compared to high SES vulnerability areas. Low housing type and transportation vulnerability (vs. high) was significantly associated with a higher prevalence of social media-involved robberies (aPR: 1.54, 95% CI:1.01-2.37). Modified Poisson models also indicated that low overall vulnerability areas had higher prevalences of social media-involved robberies (aPR: 1.71, 95% CI: 1.10-2.67) and sexual offenses (aPR: 2.14, 95% CI: 1.05-4.39) than high overall vulnerability areas.

Conclusions
We quantified the prevalence of social media-involved violent crimes across social vulnerability levels. These insights underscore the need for collecting incident-based social media involvement in crime reports among law enforcement agencies across the United States and internationally. Comprehensive data collection at the national and international levels provides the capacity to elucidate the relationships between neighborhoods, social media, and population health.
Analysis of plantar pressure of midsole prepared by 3d printed biomimetic structures with different densities
Authors: Li Jing , Jung Imjoo , Lee Sunhee 
Published: September 2024

AbstractThis study investigates the impact of 3D printed midsoles with biomimetic structures of varying densities on plantar pressure during static and dynamic motions. The midsoles were designed with three densities of Tyson polygon (TS) structures: 1TS, 2TS, and 3TS. Plantar pressure tests were conducted on midsoles during static and dynamic motions such as walking, running, and jumping. The data were analyzed based on hypotheses related to samples, motions, and 10 plantar pressure zones. As results, for static motion, all midsoles improved pressure distribution and reduced peak pressure compared to barefoot conditions, with 1TS being the most effective. During dynamic motions, 1TS and 2TS effectively distributed plantar pressure in the midfoot and heel areas, while 3TS provided better support and stability during high-intensity activities like jumping. Statistical analysis revealed that 1TS offered comfort and flexibility but lacked support, 2TS balanced support and cushioning, and 3TS provided superior support and stability but reduced elasticity during jumps. In dynamic motions, 1TS excelled in walking, and 2TS performed best in high-intensity activities such as running and jumping. In the meta areas (M2 and M3), 1TS reduced pressure by over 30% during walking and nearly 40% during running, while 3TS showed similar reductions during jumping, with BF showing higher pressures compared to running. Thus, this study highlights the effectiveness of 1TS and 2TS in reducing pressure in the meta and midfoot areas, emphasizing the importance of selecting the right midsole density for optimal comfort and performance across different activities.
Serum kisspeptin as a promising biomarker for PCOS: a mini review of current evidence and future prospects
Authors: Kokori Emmanuel , Olatunji Gbolahan , Komolafe Rosemary , Ogieuhi Ikponmwosa Jude , Ukoaka Bonaventure , Ajayi Irene , Aderinto Nicholas 
Published: September 2024

AbstractPolycystic ovary syndrome (PCOS) is a prevalent endocrine disorder affecting women of reproductive age, characterised by its multifactorial nature and intricate interplay of genetic, hormonal, and environmental factors. As the search for reliable biomarkers intensifies, serum kisspeptin emerges as a promising candidate due to its central role in regulating the hypothalamic-pituitary-gonadal (HPG) axis. This review aims to consolidate the evolving understanding of kisspeptin as a potential PCOS biomarker, comprehensively exploring its physiological basis, diagnostic challenges in PCOS, and clinical implications. Diagnostic challenges in PCOS are addressed, underscoring the limitations of current criteria and the need for objective and standardised biomarkers. Kisspeptin’s introduction as a potential biomarker brings forth both promises and challenges in terms of its diagnostic utility. The review recognises the importance of standardisation in research methodologies and emphasises the exploration of genetic polymorphisms to enhance kisspeptin’s robustness as a diagnostic tool.
Key factors influencing students’ academic performance
Authors: Suleiman Ibrahim Baba , Okunade Oluwasogo Adekunle , Dada Emmanuel Gbenga , Ezeanya Uchenna Christiana 
Published: September 2024

AbstractAcademic achievement is a multifaceted outcome influenced by a multitude of factors spanning across educational, socioeconomic, and individual characteristics. Understanding the key determinants of students’ academic performance is paramount for educators, policymakers, and institutions to enhance learning outcomes and facilitate targeted interventions. The absence of a cohesive framework for understanding academic achievement poses a barrier to effective interventions and policies, hindering educators and policymakers from implementing targeted strategies for student improvement. To address this challenge, it is crucial to conduct a thorough examination of the factors influencing academic performance, prioritizing their identification, exploring interactions, and examining their relative impact. Through this research, educational stakeholders can gain insights to develop evidence-based strategies that foster equitable learning outcomes and pave the way for academic success for all students. In this research, linear regression is chosen as the primary model due to its ability to model relationships between variables, making it suitable for assessing the impact of multiple factors on academic performance. Simulation results show that the proposed model achieved 98% accuracy in predicting the factors that are affecting students’ academic performance. The findings derived from the linear regression analysis offer statistical insights into the key factors influencing students’ academic performance. It also incorporates visual aids to enhance the clarity and interpretability of the results. This research interprets the implications of these key factors and discusses their broader significance in the context of students’ academic performance.
Wavelength-multiplexed orbital angular momentum meta-holography
Authors: Jang Jaehyuck , Moon Seong-Won , Kim Joohoon , Mun Jungho , Maier Stefan A. , Ren Haoran , Rho Junsuk 
Published: September 2024

AbstractThe field of high-bandwidth holography has been extensively studied over the past decade. Orbital angular momentum (OAM) holography, which utilizes vortex beams with theoretically unbounded OAM modes as information carriers, showcases the large capacitance of hologram storage. However, OAM holography has been limited to a single wavelength, restricting its potential for full-color holography and displays. In this study, we propose wavelength and OAM multiplexed holography that utilizes the multiple dimensions of light—wavelength and OAM—to provide a multi-color platform that expands the information capacity of holographic storage devices. The proposed wavelength-OAM multiplexed holography is physically realized by a metasurface, the state-of-the-art optical element consisting of an array of artificially engineered nanostructures. Hydrogenated silicon meta-atoms, the constituents of the metasurface, are engineered to possess wavelength selectivity by tailoring the dispersion of polarization conversion. These meta-atoms are used to encode the calculated OAM-preserved phase maps based on our design. The sampling grid of the phase map is rotated by 45°, which effectively suppress higher-order diffraction, providing a great strategy for achieving large field-of-view (FOV) holography. We successfully demonstrate six holographic images that are selectively reconstructed under the illumination of light with specific wavelengths (λ = 450, 635 nm) and topological charges (l = -2, 0, 2), without high-order diffraction. Our work suggests that ultrathin meta-holograms can potentially realize ultrahigh-bandwidth full-color holography and holographic video displays with large FOV.
Synergistic strategies for cancer treatment: leveraging natural products, drug repurposing and molecular targets for integrated therapy
Authors: Mikkili Indira , Suluvoy Jagadish Kumar , Thathapudi Jesse Joel , Srirama Krupanidhi 
Published: September 2024

Abstract
Background
Uncontrolled cell proliferation is a major cause of cancer development and progression. Inflammation along with inflammatory mediators and cells play a significant role in cancer. Cancer ranks in second in mortality rates, following cardiac diseases. Phytochemicals from medicinal plants offer a natural and effective approach for treating Inflammation and cancer.

Main body of the abstract
Animal studies provide evidence that phytochemicals present in food acts as antioxidants, anti-aging molecules, and health promoters, thereby extending lifespan. These natural compounds include quercetin, epicatechin, resveratrol, curcumin, kaempferol, vitamin C and carotenoids. However, clinical data on humans is still awaited. Conventional allopathic cancer therapies often have severe side effects. Recently, drug repurposing has emerged as an alternative strategy offering lower costs, shorter development times and the advantage of existing clinical data. The primary goal of drug repurposing is to discover new uses for approved or experimental drugs.

Short conclusion
The current review elucidates the side effects of synthetic drugs and the beneficial effects of phytochemicals and non-oncological drugs along with their mechanisms of action for treating cancer. Additionally, it highlights clinical trial data for various cancers focusing on molecular targets. By integrating natural products, drug repurposing and molecular targets, we can develop multifaceted therapies that maximize efficacy and minimize adverse effects. This integrated approach promises more personalized and effective treatments, improving patient outcomes and quality of life. Future research should identifying novel natural compounds, explore repurposing opportunities for existing drugs, and elucidate molecular targets for precise therapy. Additionally, clinical trials should be conducted to validate the efficacy and safety of these combined strategies in cancer patients.

Graphical abstract
Automated, Real-Time Integration of Biometric Data From Wearable Devices With Electronic Medical Records: A Feasibility Study
Authors: Weng Julius K. , Virk Ritupreet , Kaiser Kels , Hoffman Karen E. , Goodman Chelain R. , Mitchell Melissa , Shaitelman Simona , Schlembach Pamela , Reed Valerie , Wu Chi-Fang , Xiao Lianchun , Smith Grace L. , Smith Benjamin D. 
Published: September 2024

PURPOSE
A major barrier to the incorporation of biometric data into clinical practice is the lack of device integration with electronic medical records (EMRs). We developed infrastructure to transmit biometric data from an Apple Watch into the EMR for physician review. The study objective was to test feasibility of using this infrastructure for patients undergoing radiotherapy.

METHODS
The study included patients with breast or prostate cancer receiving ≥3 weeks of radiotherapy who reported owning an Apple Watch. Daily resting heart rate (HR), HR variability, step count, and exercise minutes were automatically transferred to our EMR using a custom app installed on each patient's iPhone. Biometric data were presented to the treating radiation oncologist for review on a weekly basis during creation of the on-treatment note. Feasibility was defined a priori as physician review of biometric data for at least 90% of patients. Time trends in biometric data were tested using the Jonckheere-Terpstra test. Patient satisfaction was assessed using the System Usability Scale (SUS), with scores above 80 considered above-average user experience.

RESULTS

Of the 20 patients enrolled, biometric data were successfully transmitted to the EMR and reviewed by the radiation oncologist for 95% (n = 19) of patients, thus meeting the a priori feasibility threshold. For patients with radiation courses ≥4 weeks, exercise minutes decreased over time (
P
= .01) and daily mean HR variability increased over time (
P
= .02). The median SUS was 82.5 (IQR, 70-87.5).

CONCLUSION
Our study demonstrates the feasibility of real-time integration of biometric data collected from an Apple Watch into the EMR with subsequent physician review. The high rates of physician review and patient satisfaction provide support for further development of large-scale collection of wearable device data.
Efficacy of Racecadotril in a Patient Affected by a Therapy-Refractory VIPoma and Carcinoid Syndrome
Authors: Boesenkoetter Jannes , Ellrichmann Ina , Konukiewitz Björn , Ellrichmann Mark , Schulte Dominik M 
Published: September 2024

Abstract
Neuroendocrine neoplasms (NENs) encompass a heterogeneous spectrum of tumors originating from the diffuse neuroendocrine cell system. Approximately 30% of NEN exhibit functional activity with clinical syndromes through hormone-mediated effects. Synchronous and metachronous functioning syndromes, resulting from the simultaneous release of distinct hormones, are exceptionally rare. Of note, hormonal excess syndromes can have a greater effect on patients’ morbidity and mortality than the tumor mass itself. We present the case of a 49-year-old male patient affected by an oligo-metastatic ileal NEN, concurrently demonstrating vasointestinal peptide (VIP) and serotonin excretion, complicated by pulmonary tuberculosis. After the first cycle of Lutetium-177-DOTATATE peptide-radio-receptor therapy, the patient developed a severe watery diarrhea, hypokalemia, and achlorhydria (WDHA) syndrome, despite receiving high-dose somatostatin analogues, everolimus, and telotristat ethyl, without any surgical options. The WDHA syndrome necessitated intensive-care-unit (ICU) admission with continual intravenous administration of electrolytes and fluids. With limited alternatives, an off-label intervention using the enkephalinase inhibitor racecadotril was initiated. After 5 days of treatment, the WDHA syndrome exhibited sufficient control, facilitating the patient's discharge from the ICU. This case report underscores racecadotril as an individualized, off-label treatment strategy for patients with severe VIPoma and serotonin-driven WDHA syndrome, where conventional therapeutic avenues have been exhausted.
Manipulating cell fate through reprogramming: approaches and applications
Authors: Yagi Masaki , Horng Joy E. , Hochedlinger Konrad 
Published: September 2024

ABSTRACT
Cellular plasticity progressively declines with development and differentiation, yet these processes can be experimentally reversed by reprogramming somatic cells to induced pluripotent stem cells (iPSCs) using defined transcription factors. Advances in reprogramming technology over the past 15 years have enabled researchers to study diseases with patient-specific iPSCs, gain fundamental insights into how cell identity is maintained, recapitulate early stages of embryogenesis using various embryo models, and reverse aspects of aging in cultured cells and animals. Here, we review and compare currently available reprogramming approaches, including transcription factor-based methods and small molecule-based approaches, to derive pluripotent cells characteristic of early embryos. Additionally, we discuss our current understanding of mechanisms that resist reprogramming and their role in cell identity maintenance. Finally, we review recent efforts to rejuvenate cells and tissues with reprogramming factors, as well as the application of iPSCs in deriving novel embryo models to study pre-implantation development.
Determination of gelatin from marshmallows using a combination of fourier transform infrared (ATR-FTIR) spectroscopic and chemometrics for halal authentication
Authors: Fatmawati Sofia , Hariyanti Hariyanti , Permanasari Etin Diah , Chandra Ady , Firmanto Johan Dwi , Sari Retno Lia , Pamungkas Septiana Tri 
Published: September 2024

Marshmallow is a foam that contains aerated sugar, which is stabilized with gelatin or egg albumin. In this research, a Fourier Transform Infra-Red (ATR-FTIR) spectroscopy combined with the Chemometrics methods is developed to distinguish the presence of porcine gelatin in marshmallows, which can then be used to identify halal products. This method provides fast and rapid testing of halal products. Marshmallows were made with varying concentrations of bovine and porcine gelatine as the reference. Commercial marshmallows were collected in the online marketplace by purposive sampling. Isolated gelatin was analyzed using the ATR-FTIR spectrophotometer, and data analysis was continued using PCA (Principal Component Analysis). The results showed that bovine gelatin absorbed at a wavenumber of 1638 cm-1, while porcine gelatin produced a sharp absorption at 1697 and 1654 cm-1. The results of PCA analysis show that 100% of bovine gelatin marshmallows (S100) have areas different from marshmallows containing a mixture of porcine gelatin. The PCA results of four samples (A1, A2, A3, and A4) show they are in the same area as 100% bovine gelatin marshmallows (S100). This shows that it is suspected that the four marshmallow samples tested did not contain porcine gelatin. The multivariate regression curve showed that the pattern of linear absorbance changes along with porcine gelatin concentrations with the highest coefficient equation is from wavenumber 1093.97 cm-1.

Keywords: ATR-FTIR, Bovine gelatin, Chemometric, Marshmallow, Porcine gelatin
Prediction of biomarker peak of infrared spectra between pork fat and chicken meat fat using fourier transform infrared spectroscopy technique and clotter plot method
Authors: Saputra Irwan , Kartika Irma Ratna 
Published: September 2024

The increasingly widespread contamination of chicken meat by pork requires a method to identify the presence of these contaminants quickly and cheaply. Apart from analyzing the spectrum of various pure animal fats, this research also aims to vary the concentration of pork fat and chicken fat to know the FTIR peak spectrum, which will change with changes in concentration. The presence of spectral peaks that change can be identified due to changes in pork fat concentration, which also shows a typical peak spectrum position in pork fat. Variations in the concentration of pork fat contaminants in chicken fat consist of the ratio of the mixture of pork fat (PF) and chicken fat (CF), namely 90:10 (PC1), 80:20 (PC2), 70:30 (PC3), 60:40 (PC4), 50:50 (PC5), 40:60 (PC6), 30:70 (PC7), 20:80 (PC8), and 10:90 (PC9). A scatter plot, a graph usually used to see the relationship pattern between 2 variables, is employed in this research to visualize the changes in spectral peaks with varying concentrations of pork fat in chicken fat. The data scale must be an interval and ratio scale to use a scatter plot. Biomarker wavelengths were identified from the spectra of four animal fats and palm oil at positions 2948.9 and 3007 cm−1, separated by four animal fats and palm oil at a certain distance, thus indicating that these wavelengths could be used to identify non-halal samples.

Keywords: Chicken, Clotter plot, Fat, Infrared, Meat, Pork, Spectra