bluuebunny/crossref_metadata_2025 huggingface dataset:
Cinnamon: A potent nutraceutical agent for the protection of the cardiovascular system
Authors: Taherah Mohammadabadi
Published: January 2024

Diseases such as diabetes, atherosclerosis, and hypertension are risk factors for Cardiovascular Diseases (CVDs). About 17.3 million deaths worldwide were due to CVDs in 2013 and is anticipated to be 23.3 million by 2030. Common therapies for CVDs are associated with wide side effects. Thus, herbal medicines have been regarded more due to fewer side effects, availability, cultural beliefs, and being cheap. For thousands of years, herbal medicine has been used for bacterial infections, colds, coughs, and CVDs. Cinnamon bark contains phenolic compounds such as cinnamaldehyde and cinnamic acid with protective properties that can reduce the risk of cardiovascular diseases, cardiac ischemia and hypertrophy, and myocardial infarction. Furthermore, cinnamon has antioxidant and anti-inflammatory properties and exhibits beneficial effects on the complications of diabetes, obesity, hypercholesterolemia, and hypertension which cause CVDs. Although the protective effects of cinnamon on the heart have been reported in many studies, it needs more clinical studies to prove the pharmaceutical and therapeutic efficacy of cinnamon on risk factors of CVDs. This review explains the protective effects of bioactive compounds of cinnamon on the cardiovascular system.
Stereotaxic viral injections and array implantation v1
Authors: Vu Mai-Anh , not provided mwhowe
Published: January 2024

We have developed a new micro-fiber array approach capable of chronically measuring and optogenetically manipulating local dynamics across over 100 targeted locations simultaneously in head-fixed and freely moving mice, enabling investigation of cell-type and neurotransmitter-specific signals over arbitrary 3-D volumes . This protocol includes the stereotaxic viral injections and array implantation steps. Please contact us (mwhowe@bu.edu) if you are interested in using this technique.
A protocol for the extraction of microremains from archaeological human dental calculus v1
Authors: Fiorin Elena
Published: January 2024

This revised protocol will describe the extraction and analysis of human dental calculus using polarised light microscopy. This step-by-step procedure results from years of research and aims to guide scholars in sampling and decontaminating archaeological dental calculus as well as extracting microremains of organic and inorganic origin embedded within the dental calculus. This is the protocol employed by the DANTE Diet and Ancient TechnologyLaboratory (Sapienza University of Rome)
814.1 Multiplexed Immunofluorescence Phenocycler-Fusion® Imaging of FFPE Lung Sections Following Mass Spectrometry v1
Authors: Purkerson Jeffrey , Colon Luis , Huyck Heidie , S Pryhuber Gloria
Published: January 2024

This protocol describes multiplexed immunofluorescent (MxIF) staining and imaging of FFPE lung tissue sections utilizing the Phenocycler-Fusion platform (Akoya Biosciences) following spatial analysis of N-Glycans with MALDI-MSI. The approach for MxIF is based on the CODEX multiplexed immunofluorescence staining technology developed by Garry Nolan and colleagues (1). The protocol is closely aligned with the attached Phenocycler-Fusion User Guide provided by Akoya (2). The protocol includes A) FFPE lung tissue section preparation, B) Reference to spatial N-glycomics with MALDI-MSI for human lung tissue C) Labeling of lung tissue sections with antibody-barcode conjugates, D) Barcode-Reporter plate and experiment design, E) Multiplexed imaging and analysis, F) Reference for H&E stain to follow MxIF and G) Reference to custom antibody conjugation. Thus, the protocol is designed to provide information regarding specific reagents (i.e., antibodies), conditions (i.e., dilutions), and procedures used in multiplexed immunofluorescent staining of lung tissue.
Immunocytochemistry for the characterization of hiPSC to Motor Neuron differentiation v2
Authors: Wright Mallory , not provided ckremitz , J Buchser William
Published: January 2024

This immunocytochemistry protocol is used for the characterization of IPSC differentiation into motor neurons using several biomarkers: neuroepithelial cells (SOX1), motor neuron progenitors (OLIG2 and NKX2.2), motor neurons (MNX1), and the mature motor neurons (ISL, ChAT, MAP2). *Primary and secondary antibody information located in materials section
Immunohistology v1
Authors: Vu Mai-Anh , not provided mwhowe
Published: January 2024

We have developed a new micro-fiber array approach capable of chronically measuring and optogenetically manipulating local dynamics across over 100 targeted locations simultaneously in head-fixed and freely moving mice, enabling investigation of cell-type and neurotransmitter-specific signals over arbitrary 3-D volumes . This protocol includes the immunohistology steps we used to confirm viral expression, and/or stain for neurons after our micro-CT scanning and contrast agent soaking procedure.
TXED: The Texas Earthquake Dataset for AI
Authors: Chen Yangkang , Savvaidis Alexandros , Saad Omar M. , Dino Huang Guo-Chin , Siervo Daniel , O’Sullivan Vincent , McCabe Cooper , Uku Bede , Fleck Preston , Burke Grace , Alvarez Natalie L. , Domino Jessica , Grigoratos Iason
Published: January 2024

Machine-learning (ML) seismology relies on large datasets with high-fidelity labels from humans to train generalized models. Among the seismological applications of ML, earthquake detection, and P- and S-wave arrival picking are the most widely studied, with capabilities that can exceed humans. Here, we present a regional artificial intelligence (AI) earthquake dataset (TXED) compiled for the state of Texas. The TXED dataset is composed of earthquake signals with manually picked P- and S-wave arrival times and manually picked noise waveforms corresponding to more than 20,000 earthquake events spanning from the beginning of the Texas seismological network (TexNet) (1 January 2017) to date. These data are a supplement to the existing worldwide open-access seismological AI datasets and represent the signal and noise characteristics of Texas. Direct applications of the TXED datasets include improving the performance of a global picking model in Texas by transfer learning using the new dataset. This dataset will also serve as a benchmark dataset for fundamental AI research like designing seismology-oriented deep-learning architectures. We plan to continue to expand the TXED dataset as more observations are made by TexNet analysts.
Toward Green Clouds: Sustainable Practices and Energy-Efficient Solutions in Cloud Computing
Authors: Mahadasa Ravikiran , Surarapu Pavani
Published: January 2024

This article explores the imperative shift "Toward Green Clouds," investigating sustainable practices and energy-efficient solutions in cloud computing. Examining the environmental impact of traditional cloud infrastructures, the study identifies critical energy consumption patterns, carbon emissions, and resource depletion. Strategies for enhancing energy efficiency, including advanced cooling technologies, server virtualization, and renewable energy integration, are elucidated as pivotal components for mitigating environmental consequences. The article introduces conceptual frameworks rooted in ecological modernization and triple bottom line considerations, providing a structured roadmap for stakeholders. It underscores the significance of policy interventions, Green Cloud Certification Programs, and continuous improvement initiatives. The major findings highlight a transformative journey toward environmentally responsible cloud computing practices, emphasizing a balance between technological innovation and ecological stewardship for the realization of "Green Clouds."
Sustainable Urban Logistics:
Analysis and Bibliometric Review
Authors: Mutvadžija Maja , Kovačić Matija , Cvitković Ivan
Published: January 2024

Sustainable urban logistics is imperative in view of the increasing demands related to sustainability
and the satisfaction of requirements related to sustainability, and it supports the implementation and
use of solutions based on the application of electric vehicles when talking about transport logistics,
ensuring all the resources necessary for the development of the basic urban process, and similar. In
order to analyze the current situation related to the progress of researchers, in this paper, a bibliometric
analysis of existing papers and research in the field of sustainable urban logistics was carried out.
According to the findings, there is a significant lack of research dealing with urban logistics from the
perspective of the supporting process, and a large number of authors summarize urban logistics solely
from the perspective of transportation and storage.
Finding ourselves: E hoki koe ki ō maunga kia purea koe e ngā hau a Tāwhirimātea
Authors: Shaw Tiria , McMillan Hoana
Published: January 2024

In te ao Māori, our connection to our maunga and physical landmarks speaks to who we are as a people. Our maunga are also a source of inspiration and direction. This article draws on the symbolism of maunga and describes a Māori process of the way maunga can also act as a metaphorical journey to strengthening identity and transformative change. It analyses data from a TLRI research study Renewing Participatory Democracy: Walking with Young Children to Story and Read the Land to exemplify this process from the experiences of whānau and tamariki attending Te Kōhanga Reo ki Rotokawa, where haerenga (trips) to their tribal landmarks are undertaken. The impact of haerenga on whānau identity is explored, and its importance and value discussed.
Primary school technology curriculum’s computational thinking
Authors: Rhodes Kate , Dixon Melinda
Published: January 2024

This article unpacks the computational thinking for digital technologies (CTDT) technological area of the New Zealand primary curriculum that became mandatory in 2020. It explores computational thinking (CT), its place in the New Zealand primary curriculum, and elements kaiako can utilise to help implement the teaching of CT. The article considers teaching CTDT through unplugged (without a device) activities, pedagogy, and contexts that reflect the worldviews of ākonga, with associated activities suggested. Furthermore, this article draws on several research projects where teachers implemented CTDT skills in their classrooms and explored unplugged concepts. It is envisioned that this article will change teachers’ perceptions of teaching CTDT; from an unattainable set of specialist (digital) skills, to a set of day-to-day problem-solving techniques (applied to both unplugged and later-on-device contexts), and will support educators in understanding and implementing CTDT
Are the Financial Indicators Relevant in Measuring the Performance of Islamic Banks?
Authors: Dandy Hadi Saputra Mochamad , Nuraini Dwiputri Inayati
Published: January 2024

This study was directed to determine the impact of financial indicators compiled in public reports on the long-term and short-term performance of Islamic banks in Indonesia. The scope of this study is between 2017 and 2021. This study uses the Vector Error Correction Model (VECM) method. The analytical steps used in VECM modeling are Granger causality, long-term and short-term VECM analysis, impulse response functions, and variance decomposition. Results of this study show that the independent variables subsisting of BOPO, CAR, FDR, MFP, NPF, and STM have long-term effects on ROA. However, CAR variables do not show significant impacts in the short term. The implications of this research are to back business efficiency in other banking services such as safe deposit boxes, hedging activities, and manufacturing sector financing based on more accountable and credible risk management. The freshness of this study is that it incorporates the results of Granger causality analysis, which reveals bidirectional relationships for each variable. In addition, Granger causality shows correlations, allowing study variables to be explored more deeply in further studies.
Keywords: financial indicators, Vector Error Correction Models, Islamic banks, performance
The Effect of Financial Education and Culture of Tri Hita Karana on the Behavior of Financial Management Students in Economic Education Study Program Pgri Mahadewa University Indonesia Year 2022
Authors: Diah Asrida Putu , Luh Putu Cahayani Ni
Published: January 2024

This study aims to provide an empirical proof of the impact of Tri Hita Karana’s financial and cultural literacy on financial management behavior of those pursuing business education as a major at PGRI Mahadewa University of Indonesia in 2022 (H1). Financial literacy has been found to have a significant and favorable impact on the behavior of financial management of PGRI Mahadewa University of Indonesia business education students. The calculated results showed t1 counts of 3.712 > 1.976 and sig values of 0.000 <= 0.05. Hypothesis test (H2) in the findings indicated that three causes of happiness culture had a significant positive impact on the financial management behavior of business education students at PGRI Mahadewa University in Indonesia. The calculated results showed t1 counts of 29.944 > 1.976 and sig values of 0.000 <= 0.05. The results of the three causes of happiness test (H3) in financial and cultural literacy simultaneously had a critical effect on the monetary administration behavior of students in the Business Education Program at the University of PGRI Mahadewa Indonesia. A result of calculating an Fcount value of 2,002,656 for an Ftable value of 3.00 from the F distribution table, the Fcount value is 2,002,656 and the Ftable value based on the F distribution table is 3.00. There is a simultaneous or concurrent influence between financial literacy and Tri Hita Karana culture. Leadership behavior by students of the Indonesian Mahadeba Business Education Course at PGRI University.
Keywords: monetary education, Tri Hita Karana culture, financial management behavior
Gen Z's Cashless Behavior: How QRIS Moderating Digital Financial Literacy and Spending Behavior Affects on E-Wallet Utilization?
Authors: Lu'ay Natswa Salsabilla , . Subagyo
Published: January 2024

E-Wallet, one of the mobile payment systems, has continued to dominate Indonesia since 2017. Besides e-wallets, QRIS occurrence in 2020 is also estimated as a critical factor in e-wallets’ successes. Generation Z supported this condition as a digital native and was labeled the most technologically savvy generation. That is why e-wallets, along with QRIS was predicted as the best solution for Gen Z’s demand. Nevertheless, this easiness could lead to lousy spending behavior if not accompanied by excellent digital financial literacy. This study aims to determine how digital financial literacy and spending behavior affect e-wallet utilization moderated by QRIS Barcode. Structural equation models using SMART PLS 3.0 are used for analyzing 403 samples of Generation Z in Malang City. The result showed that digital financial literacy positively affected e-wallet utilization. In contrast, spending behavior does not affect e-wallet utilization on offline payment transactions. Subsequently, the QRIS barcode has a negative correlation with digital financial literacy and spending behavior interaction with e-wallet utilization. Hence, QRIS was determined as a quasi moderator.
Keywords: digital financial literacy, spending behavior, QRIS barcode, Generation Z
Is the Oil Palm Land Efficient in Indonesia?
Authors: Restikasari Wenny , Eviana Hutabarat Ruth , Wulan Sari Dyah , Cahyono Hendy
Published: January 2024

The plantation’s sub-contribution sector to the country’s gross domestic product reflects the role oil palm plantations have played in boosting the economy. The goal of this study is to examine land efficiency and the variables that affect its value in Indonesian national superior plantations, by the application of the Stochastic Frontier Analysis (SFA) method. Age, education, financial situation, and geographic location of the farmer all affect their engagement in agriculture, particularly when it comes to spreading new techniques. Therefore, policies that are based on input variables that demonstrate substantial outcomes in boosting the output of rubber plantations in Indonesia must be implemented by the government through certain institutions.
Keywords: palm oil, efficiency, Stochastic Frontier Analysis (SFA)
Factors That Influence the Intention of MSMEs to Apply Financial Accounting Standards for Micro, Small, and Medium Entities (SAK EMKM) in Malang City
Authors: Antika Cindy , Restuningdiah Nurika
Published: January 2024

The intention of MSMEs to implement SAK EMKM is as a form of effort by MSME actors in using SAK EMKM, the use of SAM EMKM is as a guide or guideline when making business financial reports. The purpose of holding this study is to understand the influence of understanding SAK EMKM, self-motivation, and participation in socialization and training on the intention of MSMEs to implement SAK EMKM in Malang City. The research carried out is classified as an explanatory type of quantitative research, where the population is all MSMEs in Malang City which has been recorded by the Office of Cooperatives, Industry, and Trade, which is 3915 units. The study was conducted using primary data, where questionnaires were distributed to respondents. The sample was obtained using a simple random sampling method that resulted in 100 respondents. As a data analysis method, this study applies multiple linear regression analysis methods. Based on the results of the study, it can be proved that: 1) Understanding SAK EMKM has a significant positive effect on the intention of MSMEs to implement SAK EMKM. 2) Self-motivation does not affect the intention of MSMEs to implement SAK EMKM. 3) Participation in socialization and training has a significant positive effect on the intention of MSMEs to implement SAK EMKM. The suggestion for the next research is to pay more attention to the process of filling out the questionnaire to reduce the risk of the dishonesty of respondents, besides that it is also advisable to examine other factors such as digitization and human resources.
Keywords: MSME intention to implement SAK EMKM, understanding SAK EMKM, self-motivation, participation in socialization and training
Evaluation of Remote Audit Implementation Based on the Perspective of Auditee Fraud Opportunities Due to the Covid-19 Pandemic
Authors: Adi Yuniarta Gede , Arie Wahyuni Made , Sri Sinta Dewi and Kadek , Sartikawati Ketut
Published: January 2024

This study aims to ascertain the auditor’s attention to the conditions of auditee fraud opportunities that arise due to the covid-19 pandemic, to discover the changes in auditors’ work practices due to the covid-19 pandemic to cause the acceleration of digital audit adoption, to understand the remote auditing implementation system in order to minimize the opportunities for fraud that occur, and to understand the evaluation of remote auditing implementation from the auditor’s perspective. A qualitative methodology is used in this investigation. Primary and secondary sources of data were employed. Senior auditors from the ABC, DEF, and GHI Public Accounting Firms were interviewed to gather primary data. An initial description of the informants was obtained using secondary material that was found online. Using interviews and documentation, data was gathered in this way. The procedures of data collecting, data reduction, data presentation, and conclusion-making are utilized in the data analysis approach. According to the study’s findings, the auditor can address the issue of potential fraud by becoming more knowledgeable about relevant topics, making critical assessments of going-concern claims, exercising professional skepticism, and developing a good audit plan. However, the auditor cannot address the issue of limited work activities without paying professional dues, which are resolved by adapting working practices to audit procedures. Remote and accelerated audit digitization, remote auditing implementation systems to reduce the possibility of fraud are implemented through the application of several procedures that are most appropriate to the client’s situation, and evaluation of remote audit implementation, which refers to rules and standards that still need to be taken into account by related parties like IAPI in order to obtain a detailed and structured system.
Keywords: fraud, technology adoption, remote audit
The Effect of Information Technology and Facilities on the Spirit of School Principles in Following Online Principal Strengthening Training Activities
Authors: Luh Putu Yesy Anggreni Ni , Wayan Widi Astuti Ni
Published: January 2024

As the LPD organizing professional school principal strengthening training, Universitas PGRI Mahadewa Indonesia is ready with a training model directed by the Language P4TK of the Directorate General of Teachers and Education Personnel of the Ministry of Education and Culture, namely online education and training. This carefully points to decide: (1) The appearance of information technology on the character of educated principles in taking an interest in online principal strengthening training. (2) The influence of facilities on the spirit of principals in participating in online principal strengthening training. (3) The effect of information technology and facilities together on the spirit of school principals in participating in online principal strengthening training. Information was analyzed by factual examination of simple regression and difference regression. The F
The Effect of Cowpea Intercropping and Different Fertilizer Levels on Growth and Yield of Napier Grass
Authors: Chaudhary Manisha , . Rajeev
Published: January 2024

Background: The field experiment was conducted to check the optimization of fertilizer requirement for napier grass and cowpea intercropping system at the farm of Lovely Professional University, Phagwara, Punjab during kharif season 2022. Methods: Study was conduct on total twelve treatment combinations, I1 (Sole napier with 100, 75 and 125% RDF), I2 (Sole Cowpea with 100, 75 and 125% RDF), I3 (Napier grass + cowpea intercropping in 1:2 ratio with 100, 75 and 125% RDF) and I4 (Napier grass + cowpea intercropping in 1:3 ratio with 100, 75 and 125% RDF) replicated thrice in Factorial RBD design. Result: All the growth parameters and yield in intercropping with cowpea were found significantly superior over sole napier grass. Maximum plant height (253.6 cm) and number of leaves (16.13) of napier were seen in intercropping with cowpea I4F3 (1:3 ratio + 125% RDF) which were at par with I3F1 (1:3 ratio + 100% RDF) and I3F2 (intercropping in 1:2 ratio + 125% RDF). There was a significant main effect of intercropping on green fodder yield of Napier grass with a higher yield in (75.69 t ha-1 in mixture and 60.65 t ha-1 sole) recorded in the intercropping ratio of 1:3 with 125% RDF (I4F3). The minimum yield of 24.41 t ha-1 was found in I1F2 (sole napier with 75% RDF) followed by 29.41 t ha-1 in I1F1 (Sole napier + 100% RDF) in 1st cutting. Intercropping napier with cowpea enhanced the overall growth and green fodder yield as compared to sole napier.
Turnaround time for the provision of packed red cells (PRC) and factors affecting their achievements in the Blood Transfusion Unit of Dr. Sardjito General Hospital, Yogyakarta
Authors: Kaslam Surawijaya Bakhtiar , Sukorini Usi , Triyono Teguh
Published: January 2024

Turnaround time (TAT) is defined as the time it takes since request/sample is received at the blood bank until blood is cross-matched/reserved and available for transfusion. Turnround time prolongation affects patient care and satisfaction. This study aimed to evaluate TAT for the provision of packed red cells (PRC) at the Blood Transfusion Unit of Dr. Sardjito General Hospital, Yogyakarta, analyze factors affected in TAT prolongation, and provide solution the prolongation.  It was an analytical descriptive study with a qualitative design, by calculating the time since receipt of the PRC request at the Blood Transfusion Unit or since blood collection from donors until data input of the crossmatch results in Dr. Sardjito General Hospital management information system (SIMETRIS) completed. Moreover, the  delay in the provision of PRC at the Blood Transfusion Unit was also analyzed. There were 3 (1.5%) of 200 ER samples that met TAT for the provision of the PRC, which was 30 min after receipt of the request at the Blood Transfusion Unit in cito conditions. There were 20 (10%) of 200 samples from the wards that met TAT for the provision of the PRC, which was 2 h after receipt of the request at the Blood Transfusion Unit if the blood stock was available. There were 55 (27.5%) of 200 samples from the wards that met TAT for the provision of the PRC, which was 4 h after the blood was collected from the donor. TAT for the provision of the PRC at the Blood Transfusion for the available blood stock group was 179.08 (67.2 – 396.27) min, replacement blood donor group was 485.38 (126.43 – 910.68) min, and cito group was 121.29 (27.68 – 421.38) min. In conclusion, there is TAT prolongation of PRC provision at the Blood Transfusion Unit of Dr. Sardjito General Hospital.
COMPARISON BETWEEN PROPORTIONAL INTEGRAL DERIVATIVE (PID) AND MODEL PREDICTIVE CONTROL (MPC) FOR SHIP HEADING CONTROL
Authors: Jannaty Baity , Muhammadun Muhammadun , Mustaqim Kiki
Published: January 2024

In this paper discussed about ship heading control problem. Ship heading control is one of the ship control problem in the application in the marine field. With rudder angle as input control, the heading angle controlled therefore it can reach reference heading angle with minimum energy. Assume that is wave disturbance to the system. We compare two method for control the heading angle, that is Proportional Integral Derivative (PID) and Model Predictive Control (MPC). Proportional Integral Derivative (PID) is a controller that determine the presition of an instrumentation system with feedback characteristic on the system. MPC is a control technique, which embeds optimization within feedback to deal with systems subject to constraints on inputs and states. From the simulation result, MPC can compansate the disturbance better than PID. The time to reach reference angle when controlled using MPC faster than using PID. The change value of Np also almost give same result. But the change parameter PID can give very difference result seen from the rise time, the settling time, and the overshoot.
Vine spacing of Vitis vinifera cv. Shiraz/101-14 Mgt. I. root growth and physiological activity
Authors: Hunter JJ , Volschenk CG
Published: January 2024

Knowledge of vine reaction to plant spacing under relatively high potential soil conditions is limited. This study comprised effects of vine spacing (with fixed row spacing) of Shiraz (clone SH 9C)/101-14 Mgt on a high potential soil in the Breede River Valley, Robertson, South Africa, on soil conditions, root system distribution, and vine physiological reaction. The vineyard was planted in 2008 to a VSP trellis, with a fixed row spacing of 2.2 m and a row orientation of approximately NNE–SSW (30°). In-row vine spacing changed from 0.3–4.5 m with increments of 30 cm (from 15151–1010 vines/ha), totalling 15 treatments. After the completion of cordon development, results were generated over six seasons. Soil conditions seemed generally uniform and showed no obvious characteristics that could have affected treatments differentially. An increase in density occurred in fine, extension and permanent root categories with closer spacing, increasing the total number of roots/ha. Roots penetrated deeper with closer vine spacing. Vine spacing impacted physiological parameters and revealed a complex interplay between root distribution, vine structure expansion, canopy microclimate, water relations, photosynthetic output, berry temperature, carbon distribution, and day/night recovery that would affect grape composition and wine quality. Optimum vine spacing appeared to be 1.8 m, both closer and wider spacing leading to limitations in physiological activity. Interactions amongst below- and aboveground growth and physiological parameters are comprehensively discussed with a focus on sustainability.
Design, Characterization, and Preliminary Assessment of a Two-Degree-of-Freedom Powered Ankle-Foot Prosthesis
Authors: Hsieh Tsung-Han , Song Hyungeun , Shu Tony , Qiao Junqing , Yeon Seong Ho , Carney Matthew , Mooney Luke , Duval Jean-François , Herr Hugh
Published: January 2024

Powered ankle prostheses have been proven to improve the walking economy of people with transtibial amputation. All commercial powered ankle prostheses that are currently available can only perform one-degree-of-freedom motion in a limited range. However, studies have shown that the frontal plane motion during ambulation is associated with balancing. In addition, as more advanced neural interfaces have become available for people with amputation, it is possible to fully recover ankle function by combining neural signals and a robotic ankle. Accordingly, there is a need for a powered ankle prosthesis that can have active control on not only plantarflexion and dorsiflexion but also eversion and inversion. We designed, built, and evaluated a two-degree-of-freedom (2-DoF) powered ankle-foot prosthesis that is untethered and can support level-ground walking. Benchtop tests were conducted to characterize the dynamics of the system. Walking trials were performed with a 77 kg subject that has unilateral transtibial amputation to evaluate system performance under realistic conditions. Benchtop tests demonstrated a step response rise time of less than 50 milliseconds for a torque of 40 N·m on each actuator. The closed-loop torque bandwidth of the actuator is 9.74 Hz. Walking trials demonstrated torque tracking errors (root mean square) of less than 7 N·m. These results suggested that the device can perform adequate torque control and support level-ground walking. This prosthesis can serve as a platform for studying biomechanics related to balance and has the possibility of further recovering the biological function of the ankle-subtalar-foot complex beyond the existing powered ankles.
Optimizing Mesenchymal Stromal Cells Delivery: Present Status and New Frontiers in Regenerative Medicine
Authors: Giri Jayeeta
Published: January 2024

Purpose of Review Multipotent Mesenchymal stromal cells (MSCs) have recently risen to prominence in regenerative medicine for their powerful intrinsic properties of self-regeneration, immunomodulation, and multi-potency. They exhibited an excellent safety profile in early-phase clinical trials. Nevertheless, MSCs-based therapy suffers reduced efficacy in randomized clinical trials due to a poor understanding of their proper delivery modalities. Here, we intend to explore the current application of MSCs after tissue injuries. We specifically focus on tissue source, delivery routes, metabolic fitness, and cell dose. We further discuss potential approaches to optimize in vivo engraftment.

Recent findings MSCs therapeutic effect mediates by paracrine and contact factors, which are cells' intrinsic physiological processes. The cell culture expansion process does not destroy MSCs' intrinsic properties. In vivo persistence of administered MSCs determines their therapeutic potency. Cell viability, fitness, immune match, and delivery route meticulously regulate their in vivo persistency. Different genetic or chemical modification strategies are currently applied to extend their in vivo lifespan and boost their pharmaceutical effect.

Summary Improving the in vivo persistence of implanted MSCs could facilitate its clinical translation. This review highlights the pros and cons of different MSCs’ delivery strategies used in clinical or preclinical studies, emphasizing various modification approaches. These can promote prolonged graft cell survival.
Mixed Methods Research in Public Health: Theoretical Underpinnings and Practical Applications
Authors: Samago Amanuel
Published: January 2024

AbstractCurrently, public health researchers are investigating several complex and multi-faced health problems that require mixed-method approaches (MMA) to clearly understand problems and design proper intervention approaches and policy formulation. Besides, a comprehensive comprehension of the complex operation of society is vital. The MMA helps in having a broader understanding of the functioning and structure of the community at large. MMA deliberately integrates qualitative and quantitative approaches carefully to build on the merits of each other and confirm that the findings of research are closer to the truth. Therefore, public health scholars must have an excellent comprehension of the MMA and its philosophical foundations for discovering the complex conditions that challenge public health nowadays. However, public health researchers do not clearly understand the theoretical underpinnings and practical application of MMA, despite its popularity in developing countries. Therefore, this article aimed to provide comprehensive evidence on the theoretical underpinnings and practical application of MMA.
“Have You Seen This Drivel?” A Comparison of How Common Health Issues Are Discussed within Brachycephalic and Non-brachycephalic Dog Breed Groups on Social Media
Authors: Phillips Kitty , Stewart Carrie , Johnston Taryn , Mills Daniel S.
Published: January 2024

As brachycephalic dog breed ownership increases, there is a growing concern for the welfare of these breeds due to extreme brachycephalism. Understanding the motivations and behaviours of those choosing to own these breeds is important if we wish to address these concerns. The aim of this study was to investigate how owners of brachycephalic and non-brachycephalic dog breeds use social media dog breed groups to discuss common health issues. The purpose of Facebook posts in relation to common health issues, owner awareness of health issues, and the role of Facebook facilitated social support were explored between brachycephalic and non-brachycephalic dog owners. Twelve Facebook breed groups were selected (brachycephalic breed groups, n=6, non-brachycephalic breed groups, n=6). Using key word searches we extracted the first twenty posts from each group. Thematic analysis revealed three overarching themes: advice seeking, advice giving and community bonding mechanisms. Whilst the purpose of posting did not differ between groups, non-brachycephalic owners appeared to display greater awareness of breed-specific health issues, whilst social support played a more prominent role in brachycephalic groups. This research highlights that social media groups can act as platforms for knowledge exchange and emotional support. These could be utilised by owners, veterinarians and welfare organisations to more effectively enhance dog health and wellbeing.
Lateral-Directional Aerodynamic Optimization of a Tandem Wing UAV Using CFD Analyses
Authors: Kostic Ivan , Simonovic Aleksandar , Kostic Olivera , Ivkovic Dusan , Tanovic Dragoljub
Published: January 2024

This paper presents the second stage of a tandem fixed wing unmanned aerial vehicle (UAV) aerodynamic development. In the initial stage, the UAV was optimized analyzing its characteristics only in symmetrical flight conditions. Posted requirements were that both wings should produce relevant positive lift, the initial stall must occur on the front wing first, the center of pressure should be close to the center of gravity, while longitudinal static stability should be in the optimum range. Computational fluid dynamics (CFD) analyses were performed, where applied calculation model was derived from the authors’ previous successful projects. The eight version TW V8 has satisfied all longitudinal requirements. Lateral-directional CFD analyses of V8 showed that the ratio of the lateral and directional stability at the nominal cruising regime was optimal, but both lateral and directional static stabilities were too high. On further development versions the lower vertical tail was eliminated, negative dihedral was implemented on the front wing, and four inverted blended winglets were added. Version TW V14 has largely improved lateral and directional stability characteristics, while their optimum ratio at cruising regime was preserved. Longitudinal characteristics were also well preserved. Maximum lift coefficient and lift-to-drag ratio were increased, compared to the V8.
Early Warning Systems for World Energy Crises
Authors: Yokuş Turgut
Published: January 2024

Different severe energy crises episodes occurred in the world in the last five decades. Energy crises lead to deterioration of international relations, economic crises, changes in monetary systems and social problems in countries. This paper aims to show the essential determinants of energy crises by developing a binary logit model which estimates the predictive ability of thirteen indicators in a sample that covers the period from January 1973 to December 2022. The empirical results show that the energy crises are mainly due to energy supply-demand imbalances (petroleum stocks, fossil energy production-consumption imbalance and changes in energy imports by country groups), energy investments (oil and natural gas drilling activities), economic and financial disruptions (inflation, dollar index, index of global real economic activity) and geopolitical risks. Additionally, the model is capable of accurately predicting the world energy crisis event months with 99% probability.
Implementation of BIM Technologies in Wood Construction: A Review of the State of the Art From a Multidisciplinary Approach
Authors: Lobos Calquin Danny , Mata Ramón , Correa Claudio , Núñez Eduardo , Bustamante Guillermo , Caicedo Natalia , Blanco Fernandez David , Díaz Marco Antonio , Pulgar - Rubilar Pablo , Roa Leonardo
Published: January 2024

This research raises questions about the possibilities and options of using BIM methodology for wood design and construction associated with software for structure modeling along the asset's cycle life. Likewise, several academic and research initiatives are reviewed. In this sense, this paper aims to establish an appropriate link between two agendas that the architecture, engineering, and construction (AEC) industry, academia, and governments normally handle separately. By conducting several literature reviews (book, journals, and congresses) and extensive software tests (BIM software: Revit, Archicad, Tekla, and Wood plug-ins: AGACAD, Archiframe, Timber Framing 2015, WoodStud Frame, etc.), the state-of-the-art was assessed in both fields, several cases linking BIM and wood are shown in detail and discussed, various theoretical samples are modelled and shown, and the advantages and disadvantages of each technique and stage are explained. On the other hand, although wood construction has been the most common for hundreds of years, this is not the case of BIM Modeling software developments associated with this materiality. Furthermore, since the appearance of materials such as steel and reinforced concrete, all software developments have focused on these materials, leaving aside the possibility of developing applications for use in wood projects. According to previously discussed, it can be concluded that BIM for Wood has been used more frequently in academia and that both fields have several common processes and, in many cases, only a few BIM-wood tools have been used. Thus, disregarding the high potential and high level of benefits that results with the application of these methodologies for the complete building life cycle (design, construction, and operation).
Predictive Analytics in Heart Failure Prediction: A Systematic Review
Authors: Hidayaturrohman Qisthi Alhazmi , Hanada Eisuke
Published: January 2024

Heart failure is a leading cause of death among people worldwide. The cost of treatment can be prohibitive, and early prediction of heart failure would reduce treatment costs to patients and hospitals. Improved prediction of readmission would also be of great help hospital, allowing them to better manage their treatment programs and budgets. This systematic review aims to summarize recent studies of predictive analytics models that have been constructed to predict heart failure and readmission. Some of these models use a statistical approach and others a machine learning approach. Electronic patient health records, including demography, physical and clinical values, and laboratory findings are used to design and build predictive models. Predictive analytics with good performance have become essential for clinicians and specialists. Choosing a suitable machine learning algorithm and data preprocessing technique will improve predictive model performance, including data imputation and class imbalance.
Biodiversity and Environmental Factors Structuring Diatom Assemblages in the Protected High-Mountains Lakes of the Kaçkar Mountains National Park (Rize, Turkey)
Authors: Şahin Bülent , Barinova Sophia
Published: January 2024

The altitude of the habitat is one of the important regulators of species survival. Kaçkar Mountains National Park is located in the Eastern Black Sea region of Turkey. This is the first study on the benthic diatom flora of the high mountain lakes in Kaçkar Mountains National Park, which is situated between 2782 and 3075 m a.s.l. A total of 84 diatom species were identified from benthic communities of 15 habitats in summer (19 July, 28 August) and autumn (10 September) months of 2020. The genus Pinnularia (13 species) formed the basis of the taxonomic list followed by Eunotia (5 species), Navicula (5 species), and Frustulia (4 species) genera, respectively. The waters in all the studied lakes were fresh, low-saline, with low-alkaline or circumneutral pH and organically uncontaminated as evidenced by prevailed bioindicator groups. Statistical methods and comparative floristic results confirm the role of the lake altitude for the diatom species distribution. Species richness was higher in lakes with lower altitude, but a statistical approach also revealed a tendency for it to increase with altitude if species richness increased. Further studies will be needed to continue exploring this pattern. In the first round of analysis, diatom species groups were categorized according to IUCN categories, revealing one potentially threatened and one rare species. To protect studied high mountain lakes, their ecological conditions must be constantly monitored in the Kaçkar Mountains National Park.
Drug-Drug Interactions of FXI Inhibitors: Clinical Relevance
Authors: Ferri Nicola , Colombo Elisa , Corsini Alberto
Published: January 2024

Inhibitors of the factor FXI represent a new class of anticoagulant agents that are facing the clinical approval for the treatment of acute coronary syndrome (ACS), venous thromboembolism (VTE), and stroke prevention of atrial fibrillation (AF). These new inhibitors include chemical small molecules (asundexian and milvexian), monoclonal antibodies (abelacimab, osocimab, and xisomab), and antisense oligonucleotides (IONIS-FXIRX and fesomersen), and thus with very peculiar and different pharmacokinetic and pharmacodynamic properties. Besides their clinical efficacy and safety, based on their pharmacological heterogeneity, the use of these drugs in patients with comorbidities may undergo to drug-drug interactions (DDI) with other concomitant therapies. Although only few clinical evidence are available, it is possible to predict clinical relevant DDI by taking into consideration their pharmacokinetic properties, such as the CYP450-dependent metabolism, the interaction with drug transporters and/or the route of elimination. These characteristics may be useful to differentiate their use with the direct oral anticoagulant (DOAC) anti -FXa (rivaroxaban, apixaban, edoxaban) and thrombin (dabigatran), whose pharmacokinetics are strongly dependent from P-gp inhibitors/inducers. In the present review, we summarize the current clinical evidence on DDI of new anti FXI with CYP450/P-gp inhibitors and inducers and indicate potential differences with DOAC anti FXa.
Comparative Clinical Evaluation of 3 Artificial Intelligence Algorithms for Breast Cancer Screening with Mammography
Authors: Brion Alexandra , Dang Lan-Anh , Poncelet Edouard , Ferret Laurie , Vermersch Mathilde , Nicolas Laurent
Published: January 2024

Objectives: Few studies have evaluated and compared artificial intelligence (AI) models for breast cancer detection on the same database. The purpose is to compare the performances of 3 artificial intelligence algorithms on the same dataset at a free operative threshold and to evaluate how the performance is impacted by the chosen threshold.

Materials: In this retrospective single-center study, a dataset of 314 2D screening mammograms performed between 2012 and 2020 was established with a prevalence of 19.6% of histologically proven cancer. Three AI constructors using CE (European conformity) marking algorithms have agreed to take part in the study by submitting the cancer-enriched cohort to their algorithm. They chose a free operative threshold to distinguish benign and malignant mammograms. The most suspicious lesion was marked and correctly located by the AI algorithm. Statistical parameters were analyzed and compared between the algorithms.

Results: Regarding both sensitivity and specificity, at the chosen threshold, AI 1 had the best compromise between sensitivity (74%) and specificity (79%). AI 2 had a statistically lower sensitivity (52%; p<0.05) with a higher specificity (98.4%) than the other AI algorithms. AI 3 had a nonsignificant sensitivity difference (69.9%) but a significantly lower specificity (45.3%; p<0.001) than the other two.
The performances varied depending on the chosen threshold; when the AI 2 threshold was lowered, the sensitivity increased (69.9%), while a higher specificity (86.1%) was maintained.

Conclusion: Two AI algorithms stood out in terms of performance when the threshold was optimized, resulting in an acceptable sensitivity and specificity.
Different Shades of Green: An Analysis of the Occupational Health and Safety Risks Faced by Wind Farm Workers
Authors: Cunha Liliana , Silva Daniel , Macedo Mariana
Published: January 2024

The growth of the wind power sector has been marked by environmental, economic, and political drivers. Its starring role is also visible in the emergence of the so-called “green jobs”. Notwithstanding, its evolution ought not to compromise issues related to occupational risks. This exploratory study examines psychosocial risks in the operation and maintenance of onshore wind turbines in a leading Portuguese company. We conducted interviews with main stakeholders (Human Resources, OHS professionals, and team leaders); developed an “activity diary” for the operation and maintenance technicians to describe their activity and perceived impacts on health, complemented with collective interviews; and applied the Work and Health Survey. The results revealed particular risks and health impacts: working under adverse weather conditions; working at heights and in confined spaces; spending long work hours inside of the nacelles to achieve an optimum balance between favorable wind slots to intervene and avoiding additional trips up and down the wind turbines without lifts (70m-120m); and the feeling of early ageing. At a time when these workers are striving for recognition of their profession as a “rapid wear profession”, it is a key moment to discuss these results to guarantee sustainable conditions for future generations of workers.