bluuebunny/crossref_metadata_2025 huggingface dataset:
Discontinuation and Nonpublication of Clinical Trials in Orthopaedic Oncology
Authors: Singh Gurbinder , Wague Aboubacar , Arora Ayush , Rao Varun , Ward Derek , Barry Jeff
Published: December 2023

Background: This study conducted an analysis examining clinical trial discontinuation rates, associations between intervention types and discontinuation/nonpublication, and the role of funding, enrollment size, and their implications for trial success and completion.
Methods: We analyzed ClinicalTrials.gov on May 1, 2023, for phase 3 and 4 randomized controlled trials (RCTs) pertaining to orthopaedic oncology. Trial completion status was assessed using publicly available data on ClinicalTrials.gov. Publication status was also assessed on ClinicalTrials.gov, and by utilizing PubMed (MEDLINE, Google Scholar, and Embase).
Results: Among the cohort of 130 trials, 19.2% were prematurely discontinued. Completion rates varied based on intervention type; 111 pharmaceutical trials demonstrated a completion rate of 83.8%, whereas 19 non-pharmaceutical trials exhibited a completion rate of 8.0% (P<.001). Surgical trials, totaling 10, showed a completion rate of 90%. The overall trial publication rate was 86.15%, with pharmaceutical interventions achieving a publication rate of 91.96%. Larger-scale trials (≥261 participants) emerged as a protective factor against both discontinuation (Adjusted Odds Ratio [AOR]: 0.85, 95% Confidence Interval [CI]: 0.42–0.95) and nonpublication (AOR: 0.19, 95% CI: 0.13–.47), compared to smaller-scale trials.
Conclusion: Our examination of orthopaedic oncology clinical trials underscores the imperative to confront the challenges linked with trial discontinuation and nonpublication. This study accentuates the heightened vulnerability of non-pharmaceutical interventions and trials exhibiting lower rates of enrollment to the issues of discontinuation and nonpublication. Moving forward, the advancement of clinical trials necessitates a concerted effort to enhance trial methodologies, especially concerning nonpharmaceutical interventions, along with a meticulous refinement of participant enrollment criteria.
Experimental Study on Shear Resistance of Steel Plate Girder End Panels
Authors: Hingnekar Durgesh R. , Vyavahare Arvind Y.
Published: December 2023

This paper presents an experimental investigation into the effect of the geometric design parameters, such as web slenderness ratio and end post rigidity, on the shear resistance behaviour of steel plate girder end panels. Nine different girders specimens with different end post rigidities and web slenderness ratios were loaded in shear and tested until collapse. With the help of state-of-the-art deformation and strain measurement techniques, this study generates novel experimental data, providing additional critical information enabling us to understand the shear resistance behaviour of the end panels with a fresh perspective, which is different from the commonly used classic shear design models. The girders with no end post and non-rigid end post also displayed significant postbuckling strength. Also, it was found from the experimental results that the effect of the end post rigidity was more prominent on the shear resistance of slender end panels than on semi-compact end panels. The existing design models were also evaluated with 27 relevant test results available in the literature and 9 test results reported in this paper.
Dextro-transposition of the great arteries with an intact ventricular septum in older children
Authors: Luo Fanyan , Bu Haisong
Published: December 2023

Complete transposition of the great arteries (TGA) is a common life-threatening complex cyanotic congenital heart disease in infants, resulting in the operation is usually performed about one week after birth. However, little is known about the surgical strategy and experience of TGA with an intact ventricular septum in older patients. Herein, we present an abandoned 7-year-old boy with severe cyanosis with clubbed fingers and toes and then diagnosed as dextro-TGA with an intact ventricular septum, atrial septal defect, patent ductus arteriosus (PDA), and pulmonary hypertension. The patient was performed a two-staged procedure, the aortopulmonary shunt and pulmonary artery banding were performed at the first stage, and then the Switch operation, defect repair, and PDA ligation were successfully performed. The patient was discharged on the 15th day after the operation, and the arterial oxygen saturation returned to normal level (99%). The illustrative report highlights the essence of improving the raising awareness and accurate treatment strategy of dextro-TGA, especially for the remote rural areas of eastern countries where the level of health care and services is relatively backward.
A two-channel end-to-end network based on dynamic corpus of knowledge graph for intelligent recognition of Traditional Chinese Medicine terminology
Authors: Wu yulu , Wang kun , Liu Xiufeng
Published: December 2023

The accurate analysis of Traditional Chinese Medicine (TCM) terminology is a research hotspot in the field of TCM, as it can provide a convenient way of information exchange between TCM and patients, thus achieving accurate diagnosis and treatment. TCM terminology includes two forms: speech and text. Currently, the methods used for TCM terminology recognition often adopt deep learning models. However, the existing deep learning methods are hindered by insufficient corpus and defects of the end-to-end learning framework, which leads to the low accuracy of TCM terminology recognition. To solve the above problems, this paper first combines the information of text and picture of TCM terminology and proposes an extended model of TCM terminology corpus. Joint optimization of text and picture-based knowledge graph TCM terminology corpus expansion model is incorporated, and the traditional corpus is supplemented by incrementally constructing a dynamic TCM terminology corpus. Secondly, the text-speech end-to-end conversion mechanism is used to realize the synchronous incremental expansion of the TCM dynamic speech corpus. After that, the TCM dynamic speech corpus is deeply trained through a unified streaming and non-streaming two-pass end-to-end model, to realize the accurate recognition of the speech of TCM terminology. Due to the language habits of TCM experts, there are many redundant words in TCM pronunciation, which greatly reduces the readability of the text of TCM terminology. In this paper, we proposed a directed acyclic graph-(DAG) and dynamic programming-(DP) based redundant word detection framework to screen redundant words and realize the accurate identification of TCM terminology. The results show that the accuracy of the speech recognition algorithm proposed in this paper for the speech of TCM terminology is increased by 12.92%, 11.18%, and 19.95% compared with three public speech recognition engines of Iflytek, Aliyun, and Baidu, respectively. As an incremental contribution, this paper optimizes the redundant words based on speech recognition, which greatly improves the ability to conformant TCM terminology.
Research on the Aerodynamic Performance of the External Windshield of High-Speed Trains Operating on Open Lines
Authors: JIN Yongrong , CHEN Xiaoli
Published: December 2023

The proportion of aerodynamic resistance in train operation resistance is increasing as the speed of the train continues to increase. A streamlined front can reduce train running resistance effectively. Windshields and pantographs cause sudden changes in the geometric shape of the train's longitudinal section also have a significant impact on train running resistance. High-speed trains generally use external windshields, which can reduce the impact of sudden changes on the running resistance to geometric shape of the train end connection. The article constructs a 3-group calculation model based on the true geometric shape of high-speed trains to study the aerodynamic drag reduction effect of the external windshield with three-dimensional, steady, incompressible N-S equations and k-ε are adopted to calculate the flow field distribution and pressure distribution of the external windshield of trains operating on open lines at a speed of 250km/h, 300km/h, 350km/h, 400km/h or 450km/h separately. The aerodynamic resistance and lift of the external windshield were fitted, although the train operating speed changed, it was a variation curve.
Spinoza y la noción de “perspectivismo ontológico pluralista”
Authors: Tejeda Cristian , Lagos Rodrigo
Published: December 2023

En este artículo defendemos la existencia de un perspectivismo ontológico pluralista inherente a la filosofía de Baruch Spinoza. Indispensable para la constitución de esta noción es la relación establecida entre su teoría general de composición de los cuerpos y los conceptos de “afecto”, “inmanencia”, “potencia” y “multitud”. El objetivo de este análisis es una fundamentación interior del concepto de “puntos de vista”: es imposible pensarlo como una característica epistemológica de un individuo aislado, pero tampoco es posible unificarlo mediante el postulado de una propiedad común. En consecuencia, el perspectivismo ontológico espinosista implica una teoría del punto de vista pluralista que elude los problemas planteados por la clausura del modelo Uno-Todo.
Integrated anaerobic digestion and algae cultivation
Authors: Calijuri Maria Lúcia , Assemany Paula , Lorentz Juliana F. , Castro Jackeline S. , Pereira Alexia S. A. P. , Marangon Bianca B. , Magalhães Iara B. , Silva Thiago A. , Ferreira Jéssica , Gama Rafael C. N. , Braga Matheus Q.
Published: December 2023

Anaerobic digestion is considered a versatile process that for years has been used to treat various types of waste. Besides being a low-cost technology applicable in rural and urban locations, anaerobic digestion produces multiple by-products that can be integrated into a biorefinery scenario. Similarly, microalgae biotechnology can adequately complement anaerobic digestion by improving resource recovery through a closed-loop process and contributing to a biobased green circular economy model. Therefore, this chapter aims to address current perspectives on the topic. It covers algae cultivation from anaerobic digestion residues as a post-treatment option and digestate as a potential medium for microalgae growth. Moreover, anaerobic digestion is presented as an energetic valorization route of algae biomass, including strategies to overcome main challenges, such as pre-treatment of microalgae biomass and anaerobic co-digestion. Biogas upgrading during algae cultivation is also discussed. Finally, it presents biorefinery models based on integrated microalgae and anaerobic digestion, reporting the technologies’ sustainability and environmental impacts. Future perspectives on the subject are highlighted, encouraging further studies to improve microalgae biomass production, nutrient recovery, wastewater treatment, and biogas upgrading.
Legal Status of Artificial Intelligence from Quantum-Theoretic Perspective
Authors: Melnikova E. , Surov I.
Published: December 2023

Massive inclusion of artificial intelligence (AI) in the technosphere and electronic governments urges an update in legal regulation of these and related areas. The issue converges on the key question of whether AI can be endowed with legal personhood and capacity. Opposing views in this respect build on hardly compatible ethics and largely outdated scientific grounds with a clear perspective for deep cultural antagonisms and further fragmentation of the world. We contribute to this debate from the perspective of quantum cognitive science and show how it can resolve some of the current impasses. Our approach builds on the quantum-theoretic refinement of the concept of uncertainty into quantum and classical types: classical uncertainty denotes subjective ignorance of the present state of affairs, while quantum uncertainty accounts for individual freedom to construct the future. We show that legal capacity of intelligence, at bottom, is defined by the type of uncertainty it is capable to resolve. Natural intelligence, in particular, can resolve quantum uncertainties, generating genuine novelty and affective experience in the process. Classical AI, in contrast, is limited to algorithmic computation, bound to produce predefined results regardless of its complexity. Concepts of decision-making, subjectness, creativity, and personal meaning then are recognized as physically inapplicable to such systems. The proposed definitions of these terms complement and sharpen the criteria of legal capacity in the existing legislations, indicating that “autonomy” is essentially equivalent to “appreciation.” Classical AI then appears as fundamentally alien to subjectness and legal capacity both in civil and common laws, resolving a delicate contradiction between them. Quantum-empowered AI, in contrast, escapes this conclusion due to its access to quantum uncertainty, introducing novel challenges with respect to responsibility gaps and meaningful human control. The developed approach aligns with the present legal practice and ethical discourse, contributing to the scientifically informed development of law in technological societies.
A Comparative Study of Different Unorganized Sectors’ Workers in India
to Identify Musculoskeletal Disorder Prevalence through Empirical
Survey and Deep Learning Methods
Authors: Meena Arvind , Jain Rahul , Kumar Yadav Anant , Kumar Vikram , Meena Abhishek , Bihari Rana Kunj , Lal Meena Makkhan , Kumar Jindal Manish
Published: December 2023

Background::

Musculoskeletal disorders (MSDs) are a group of non-fatal injuries that
can occur as a result of various repetitive workplace activities, mainly in unorganized sectors.
Workers who engage in highly repetitive activities involving constant hand effort, localized mechanical
pressure, and vibration are more prone to developing these disorders.

Objective::

The objective of this research was to determine the prevalence of MSDs among workers
in various unorganized sectors in India who perform hand-intensive occupations.

Method::

A cross-sectional study was conducted, involving 340 workers from diverse groups such
as sugarcane farmers, footwear industry workers, and tarpaulin weavers, to accomplish this goal.
Data for the survey was collected using a questionnaire. Additionally, a comprehensive time study
and a deep learning-based posture detection study were conducted on the different activities performed
during the workers' occupational tasks. The chi-square test was used to assess the relationship
between discomfort and work repetitiveness.

Result::

The data analysis revealed that the working activities (especially cutting/harvesting, rubber
cutting, etc.) of unorganized sector workers were repetitive, with more than half of each activity’s
work cycle involving a similar usage pattern. Furthermore, a significant association was
observed between the level of discomfort and work repetitiveness among workers in different sectors
(sugarcane farmers: p < 0.01, footwear industry workers: p < 0.05, tarpaulin weavers: p <
0.05). Consequently, it can be concluded that prolonged occupational activities involving repetitive
and prolonged standing may contribute to the occurrence of MSDs.

Conclusion::

Ergonomic interventions/modifications in the form of patent work will be necessary
to prevent these issues in the near future.
Activation Energy Rechargeable Prussian Yellow Nano Film Electrode
using Hydrated Ions
Authors: Baioun Abeer , Kellawi Hassan
Published: December 2023

Aim:

Interfacial charge transfer is a fundamental issue in both the science and technology
of the batteries. In this work, the activation energy for the interfacial charge transfer, Ea, though PY
thin film was estimated by measurement measurements of electrochemical impedance spectroscopy
(EIS) for both monovalent and multivalent hydration cations: Li+, Na+, K+, Ca+2 and Mg+2 in aqueous
electrolytes.

Background:

Rechargeable batteries have become quintessential energy conversion devices that are
widely used in portable electronic devices and hybrid electric vehicles. PB and its analogues have
open channels that allow rapid insertion/extraction of different cations and that lead to a long cycle
of its in such as batteries (Na+, Li+ and K+).

Objective:

preparation of Prussian yellow Nanofilm on ITO glass by a simple chemical facial method
and study of its charge/discharge processes of intercalation compounds in rechargeable features.

Methods:

The electrochemical measurements of potentiostat/galvanostat cyclic voltammograms and
EIS were carried out in three-electrode cells, with Ag/AgCl as a reference electrode. Pt. and ITO|PY
as working and counter electrodes respectively. The electrolytes were solutions of 0.1 M+z cation in
water where M+z was one of the following cations: Li+, Na+, K+, Ca+2 or Mg+2.

Results:

The effect of hydration on the activation energy for the PY thin film was studied by the EIS
at different temperatures. The ions K+ have an activation energy interfacial, which is lower than that
of Na+ and Li+. So the coulombic repulsion at the interface is largely suppressed by the screening effect
of ions hydration, explaining the small values of Ea with aqueous electrolyte. Furthermore, the
hydration helped the Ca+2 and Mg+2 intercalation in PBA but with large values of Ea that were due to
coulombic repulsion at the interface.

Conclusion:

Prussian blue can be considered among the most promising cathode materials for energy
storage batteries because of their rigid open framework with large interstitial sites that can pertain
to mono and bivalent cation mobility and accommodate volume variation during ions insertion/
extraction.
Modal Analysis and Optimization of Fluid-Structure Coupling for Rotor
and Inner Cylinder of Vertical Condensate Pump
Authors: He Xiaofeng , Liu Xiaofeng , Ma Yunxiang , Lu Chengbin , Wu Yang , Nie Zhongfu
Published: December 2023

Background:

Low-frequency resonance is one of the common issues encountered during
the variable-frequency operation of condensate water pumps. There have been numerous patents and
papers proposing solutions to address the low-frequency resonance problem in condensate water pumps.
However, the solutions for resonance problems often need to be tailored to specific circumstances.

Methods:

Based on the acoustic method, the dynamic model of the rotor and inner cylinder of Jiangsu
Guohua Chenjiagang Power Plant 2B condensate pump is established to compare the difference
between dry modal and fluid-structure coupling modal, the influence of perpendicularity, concentricity
and bearing wear on the natural frequency of rotor is studied.

Results:

The rotor is rigid under normal conditions. When the bearing is worn, the frequency of the
rotor will be greatly reduced and may fall into the frequency conversion operation range to excite
resonance. The deviation of perpendicularity and concentricity will not directly lead to the decrease
of rotor modal but will lead to the increase of bearing stress, aggravate bearing wear, and then affect
the rotor modal. As the inner cylinder only relies on the fixed support at the top, the structure stiffness
is low, which may lead to low-frequency resonance. By adding two support structures at the
guide vane, the first-order modal frequency of the inner cylinder can be increased from 3.29 Hz to
28.88 Hz, effectively avoiding the operating frequency range of the system.

Conclusion:

This study can guide the optimization of similar pump structures.
Improved Gaussian Mixture Probabilistic Model for Pedestrian Trajectory
Prediction of Autonomous Vehicle
Authors: Li Haonan , Wang Xiaolan , Su Xiao , Wang Yansong
Published: December 2023

Background:

Pedestrian trajectory prediction plays a crucial role in ensuring the safe and
efficient operation of autonomous vehicles in urban environments. As autonomous driving technology
continues to advance, accurate anticipation of pedestrians' motion trajectories has become increasingly
important for informing subsequent decision-making processes. Pedestrians are dynamic and
unpredictable agents, and their movements can vary greatly depending on factors, such as their intentions,
interactions with other pedestrians or vehicles, and the surrounding environment. Therefore,
developing effective methods to predict pedestrian trajectories is essential to enable autonomous vehicles
to navigate and interact with pedestrians in a safe and socially acceptable manner. Various
methods, both patented and non-patented, have been proposed, including physics-based and probability-
based models, to capture the regularities in pedestrian motion and make accurate predictions.

Objective:

This paper proposes a pedestrian trajectory prediction method that combines a Gaussian
mixture model and an artificial potential field.

Methods:

The study begins with an analysis of pedestrian motion patterns, allowing for the identification
of distinct patterns and incorporating speed as an influential factor in pedestrian interactions.
Next, a Gaussian mixture model is utilized to model and train the trajectories of pedestrians within
each motion pattern cluster, effectively capturing their statistical characteristics. The trained model is
then used with a regression algorithm to predict future pedestrian trajectories based on their past positions.
To enhance the accuracy and safety of the predicted trajectories, an artificial potential field
analysis is employed, considering factors such as collision avoidance and interactions with other entities.
By combining the Gaussian mixture model and artificial potential field, this method provides an
innovative and patentable approach to pedestrian trajectory prediction.

Results:

Experimental results on the ETH and UCY datasets demonstrate that the proposed method
combining the Gaussian mixture model and artificial potential field outperforms traditional Linear
and social force models in terms of prediction accuracy. The method effectively improves accuracy
while ensuring collision avoidance.

Conclusion:

The proposed method combining a Gaussian mixture model and an artificial potential
field enhances pedestrian trajectory prediction. It successfully captures the differences between pedestrians
and incorporates speed, improving prediction accuracy.
Error Modeling and Accuracy Analysis of Parallel Robots for Spacecraft
Docking Motion Simulation System
Authors: Yu Dayong
Published: December 2023

Background::

A large number of on-orbit docking dynamics experiments are conducted in
the spacecraft docking motion simulation system with the development of Chinese space science and
technology, and therefore, the requirement for high-precision parallel robots has increased. The pose
accuracy of parallel robots is one of the most important problems in this application.

Objective::

In order to evaluate the pose accuracy of parallel robots in advance, a comprehensive pose
accuracy analysis method considering major error sources is presented in this paper, and the influence
of major error sources on the pose accuracy is also investigated to summarize the statistics and propagation
characteristics of the pose error.

Methods::

The first-order error model for the parallel robot is established based on a generalized error
model for each hydraulic cylinder and a sensitivity analysis method. Using the error model, a statistical
approach to the parallel robot pose accuracy analysis is presented, and the influence of different parameter
errors and different poses on the pose accuracy of the parallel robot is investigated. Sensitivity analysis
is applied to evaluate the contribution of each parameter error to the position and orientation error of
the parallel robot. An automated pose accuracy analysis program that computes and graphically displays
the position and orientation error distributions and the sensitivity analysis results is developed.

Results:

The statistical analysis results of the influence of different parameter errors and different
poses on pose accuracy are obtained by using the automated pose accuracy analysis program. The
means of the position and orientation errors are close to zero. The standard deviations in the x and y directions are larger than those in the z direction, and these standard deviations are amplified with the
increase of the parameter errors. For the given elevation, sensitivity analysis to various parameter errors
is performed. It is found that the length error sensitivities of the hydraulic cylinders are less than one, and position error sensitivities of the hook joints A4, A5, and A6 are much greater than those of
hook joints A1, A2 and A3.

Conclusion::

The elemental error sources belong to one of two groups, i.e., those affecting the hydraulic
cylinder length and those affecting the hook joints. The distributions of the position and orientation
errors are consistent with statistics theories. The parallel robot is more sensitive to the errors affecting
the hook joints than those affecting the hydraulic cylinder length. These will help the designers and
users of the parallel robot understand the statistics and propagation characteristics of the pose error.
Some recent patents on error modeling and kinematic calibration of parallel robots are also discussed
in this article.
Preparation and Evaluation of Nanoemulgel with Seed Oils for Skin Care
Authors: Kothapalli Lata , Ozarkar Rakesh , Modak Pranav , Deshkar Sanjeevani , Thomas Asha
Published: December 2023

Introduction:

Skin is aging external organ protecting the entire body from a complicated process that affects all living things. Vegetable oils give the epidermis a barrier that shields it and halts water loss. Polyunsaturated fatty acids, phenolic and flavonoid content present in grape seed oil (GSO), papaya seed oil (PSO), and flaxseed oil (FSO) are reported for their antioxidant and moisturizing effect when applied as a topical formulation for skin care

Objective:

In the present work, the oils were screened for their antioxidant activity and skin-whitening properties and formulated as nanoemulgel.

Methodology:

The oils studied for their phenolic and flavonoid content and formulated as a nano emulgel using Tween 80 and Transcutol. Further, the formulation was evaluated for its physico-chemical properties and stability.

Results:

The oils' total phenolic and flavonoid content was determined using gallic acid and rutin trihydrate, respectively as standards. The % oleic acid content was determined by using HPTLC where PSO had the highest oleic acid content (54.04%) as compared to GSO and FSO.

Conclusion:

All oils exhibited significant antioxidant activity and tyrosinase enzyme inhibition due to the phenolic components, flavonoids, and tocopherols. Based on the phytoactive present, nanoemulsion in different proportions (3% oil mix and 5% oil mix in a ratio of 1:1:1 and 1.5:1.5:2 for GSO: PSO: FSO) was formulated. Globule size and PDI of the optimized nanoemulsion batch were obtained as 181 nm and 0.292, respectively. Further optimization of formulation and its efficacy and dermatokinetics can be studied.
Recent Advancements in Multicomponent Reactions of Substituted 2-
Aminopyridines Synthesis: A Decade Review
Authors: Sharma Pragati , Sinha Pragya
Published: December 2023

One-step synthesis of multifaceted heterocycles employing multicomponent reactions
(MCRs) corresponds to a viable, innovative, and prospective strategy. In recognition of their
noteworthy physiological, biological, and pharmacological behavior, 2-aminopyridines secure an
exceptional spot among heterocycles. The current analysis comprises an overview of the
scientific literature concerning the multicomponent reactions of substituted 2-aminopyridine
synthesis. The stipulated outcomes have been thoroughly categorized according to the number
and nature of the components. The past 11 years of literary work (2011–2022) are specifically
incorporated. This review article will assist in advancing the development of cutting-edge and
enhanced approaches towards the synthesis of 2-aminopyridines and their counterparts.
Machine Learning–Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review (Preprint)
Authors: Budiarto Arif , Tsang Kevin C H , Wilson Andrew M , Sheikh Aziz , Shah Syed Ahmar
Published: December 2023

BACKGROUND

An early warning tool to predict attacks could enhance asthma management and reduce the likelihood of serious consequences. Electronic health records (EHRs) providing access to historical data about patients with asthma coupled with machine learning (ML) provide an opportunity to develop such a tool. Several studies have developed ML-based tools to predict asthma attacks.

OBJECTIVE

This study aims to critically evaluate ML-based models derived using EHRs for the prediction of asthma attacks.

METHODS

We systematically searched PubMed and Scopus (the search period was between January 1, 2012, and January 31, 2023) for papers meeting the following inclusion criteria: (1) used EHR data as the main data source, (2) used asthma attack as the outcome, and (3) compared ML-based prediction models’ performance. We excluded non-English papers and nonresearch papers, such as commentary and systematic review papers. In addition, we also excluded papers that did not provide any details about the respective ML approach and its result, including protocol papers. The selected studies were then summarized across multiple dimensions including data preprocessing methods, ML algorithms, model validation, model explainability, and model implementation.

RESULTS

Overall, 17 papers were included at the end of the selection process. There was considerable heterogeneity in how asthma attacks were defined. Of the 17 studies, 8 (47%) studies used routinely collected data both from primary care and secondary care practices together. Extreme imbalanced data was a notable issue in most studies (13/17, 76%), but only 38% (5/13) of them explicitly dealt with it in their data preprocessing pipeline. The gradient boosting–based method was the best ML method in 59% (10/17) of the studies. Of the 17 studies, 14 (82%) studies used a model explanation method to identify the most important predictors. None of the studies followed the standard reporting guidelines, and none were prospectively validated.

CONCLUSIONS

Our review indicates that this research field is still underdeveloped, given the limited body of evidence, heterogeneity of methods, lack of external validation, and suboptimally reported models. We highlighted several technical challenges (class imbalance, external validation, model explanation, and adherence to reporting guidelines to aid reproducibility) that need to be addressed to make progress toward clinical adoption.
Methodology and Guiding Principles for Conducting Global Cross-Sectional Studies: Learnings from the Protocol of Global 3-P Study of Nomophobia in Healthcare Providers (Preprint)
Authors: Mehta Priyal , Padte Smitesh , Singh Aakanksha , Tawfeeq Sawsan , Mahendru Diksha , Alotaibi Abdulhadi , Rodriguez-Vega Gloria M. , Bartkova Julia , Kumari Usha , Mautong Hans , Grewal Harpreet , Dhillon Gagandeep , Sharma Pranjal , Buddhavarapu Venkata , Munjal Ripudaman , Verma Ram Kishun , Shah Reena , Surani Salim , Arshad Zara , Nawaz Faisal A , Kashyap Rahul
Published: December 2023

UNSTRUCTURED

A global cross-sectional study serves as a pivotal instrument in propelling worldwide research and progress, as highlighted by the recent COVID-19 pandemic. Nevertheless, diverse challenges, ranging from data acquisition to international cooperation, result in varied outcomes for such studies. Consequently, the development of standardized guidelines to enhance the results of extensive studies among healthcare providers is needed. The objective of this study is to discuss methodologies, initiatives, and challenges encountered during the global survey and provide guidelines for future studies to follow.

From April 1, 2023, to July 1, 2023, a web-based global survey was deployed. We drafted the study instrument, selected the appropriate sample size, attained IRB exemption, and validated the survey. Additionally, we circulated a post-study feedback survey amongst collaborators to gain insights for the survey implementation.

A total of ninety-two members amassed 12,319 responses from 133 countries with 91% of our nodal contacts reported employing WhatsApp™ for survey distribution. A personalized approach, strategic networking, piquing interest, and trustworthiness with a fine art of communication were claimed to be the most lucrative for gathering data. However, a general lack of interest, along with a lack of incentives for respondents, a lengthy questionnaire, geographical divergence, and privacy concerns, impeded our conversion rate. For successful project completion, we recommend a 7-point directive: survey validation, effective team organization, inclusive representation, personalized communication, maintaining momentum, use of technology, and post-survey feedback.

This method paper outlines the strategies for successful survey implementation. The resultant seven-point directive would assist future researchers in conducting large-scale global cross-sectional studies.
A Holistic Digital Health Framework to Support Health Prevention Strategies in the First 1000 Days (Preprint)
Authors: Gabrielli Silvia , Mayora Ibarra Oscar , Forti Stefano
Published: December 2023

UNSTRUCTURED

The first 1000 days of a child’s life, spanning from the time of conception until 2 years of age, are a key period of laying down the foundations of optimum health, growth, and development across the lifespan. Although the role of health prevention programs targeting families and children in the first 1000 days of life is well-recognized, investments in this key period are scarce and the provision of adequate health care services is insufficient.
The aim of this viewpoint is to provide a holistic digital health framework cocreated with policymakers, health care professionals and families to support more effective efforts and health care programs dedicated to the first 1000 days of life as the first line of prevention.
The framework provides recommendations for leveraging on behavioral intervention technology and digital therapeutics solutions augmented by Artificial Intelligence to support the effective deployment of health prevention programs to families. The framework also encourages the adoption of a citizen science approach to co-design and evolve the digital health interventions with all relevant stakeholders in a real-world research perspective.
Pengembangan Kapasitas Organisasi Pemuda Penghayat Kepercayaan melalui Program Forum Kamisan Daring
Authors: Anandita Puti Ayu , Kutanegara Pande Made
Published: December 2023

Following the recognition of civil rights, the Indigenous Belief (Penghayat Kepercayaan) of unofficial religions face challenges on how to pass on their beliefs to younger generations so they inherit their beliefs. As the primary institution that accommodates all groups of adherent believers in Indonesia, Majelis Luhur Kepercayaan Indonesia (MLKI)  formed a youth organization called Gema Pakti. This organization is used as the representative of Penghayat Kepercayaan group for youth to be the leading force for the regeneration of its members. Intersectoral Collaboration for indigenous Religions (ICIR), as one of the collaborative platforms, provides spaces for the youth of Penghayat Kepercayaan to improve their organizational skills through the Forum Kamisan Daring (FKD) program. Through this, the youth of Penghayat Kepercayaan can show their existence by participating directly through the FKD program in 2023. This program applies an approach by involving the youth in the discussion forums. This approach becomes a way to empower the youth through group capacity building. This involvement shows that FKD provides roles to Penghayat Kepercayaan groups, especially Gema Pakti, within its existence and group capacity building.

===

Setelah pengakuan hak-hak sipil, Penghayat Kepercayaan menghadapi tantangan yaitu bagaimana meneruskan generasi yang akan tetap mewarisi ajaran kepenghayatannya. Majelis Luhur Kepercayaan Indonesia (MLKI)  sebagai lembaga utama yang mewadahi seluruh Penghayat Kepercayaan di Indonesia membentuk sebuah organisasi pemuda yang disebut Gema Pakti. Organisasi ini sebagai wadah representasi pemuda Penghayat Kepercayaan untuk menjadi ujung tombak dalam proses regenerasi. Intersectoral Collaboration for eIndigenous Religions (ICIR) sebagai salah satu kolaborasi lintas sektor memberikan wadah kepada pemuda Penghayat Kepercayaan untuk meningkatkan kemampuan kelompoknya dalam berjejaring melalui program Forum Kamisan Daring (FKD). Pemuda Penghayat Kepercayaan bisa memiliki ruang untuk berkembang dan menunjukkan eksistensinya dengan terlibat langsung dalam program FKD tahun 2023. Program ini memiliki pendekatan dengan melibatkan langsung Pemuda Penghayat Kepercayaan dalam proses pelaksanaan forum. Pendekatan ini menjadi salah satu upaya pemberdayaan melalui pengembangan kapasitas kelompok. Melalui keterlibatan ini menunjukkan bahwa FKD memberikan peran kepada Penghayat Kepercayaan khususnya Gema Pakti dalam proses eksistensi dan pengembangan kapasitas kelompok organisasi.
Benefits and Ways of Integrating Technology in Teaching of Social Science Courses in Universities in Nigeria
Authors: Chukwuma-Nosike Chika N.
Published: December 2023

This study is a descriptive survey that investigated benefits and ways of integrating technology in teaching of social science courses in universities in Nigeria. Three research questions guided the study. Population comprised all universities lecturers in Nigeria. Multi-stage, cluster and purposive sampling techniques were used to select sample size of 124 Social Science lecturers from four universities in Imo and Abia states South-East, Nigeria. Two-section rating scale titled Benefits and Ways of Integrating Technology in Teaching of Social Science Courses (BWITTSSC) was used for data collection. Instrument was validated by specialists in Educational Measurement and Evaluation, Educational Technology and Social Sciences. Reliability of instrument was determined using Cronbach Alpha reliability administered once. Reliability index of 0.77 was obtained after analyzing data. Research questions were answered using mean and SD. Study’s findings revealed different technologies that can be integrated in teaching of social science courses and varied benefits of integrating technology in teaching of social science courses which include technology promotes digital literacy, speed and efficiency among teachers and students during teaching. Researcher recommended that technology be integrated into teaching of social science courses to enhance students’ interest, active participation during teaching, leading to retention of knowledge, skills, aptitudes required in labour market.
Consequences and what the Risks of Automedication
Authors: Rocha Ana Karoliny dos Santos , Santana Ana Ruth Lula , Souza Gleicy Viana de , Santos Ian Souza , Souza Jéssica Ferreira , Freire Jessica Souza , de Sá Marcella Mendes , Santiago Sabrina Rodrigues , Silva Daniel Rodrigues
Published: December 2023

Self-medication is seen as the use of pharmaceuticals without medical advice, where patients use drugs in an irregular manner, not taking into account doses or time of correct treatment. Brazil occupies the fifth place in drug consumption in Latin America, with high rates of hospitalization and death due to overdose and intoxication. Thus, the objective of the research is to highlight the consequences and main health risks arising from the self-medication of drugs, highlighting the possibility of using drugs of lower impact from the orientation of pharmacists. Authors report that among the major problems to reduce self-medication in Brazil are the governmental problems, such as the lack of resources for the Unified Health System (SUS), and insufficient number of within doctors health units. These factors make people who go through periods of pain, seek drugs in an inappropriate way, without worrying about possible health risks. The problem of self-medication reaches even children and the elderly, who are endangered by the use of pharmaceutical drugs often incompatible with their body. An alternative to the problem is the performance of the pharmaceutical professional who can guide the correct use of the drugs, reducing risks by self-medication. However, the need to implement strategies to raise awareness among the population shows the risks to health through self-medication.
Column structure strengthening with FRP (Fiber Reinforced Polymer) due to story addition
Authors: I Wayan Maesa Andreasnata  , I Nengah Sinarta  , Ni Komang Armaeni  , I. P. Ellsa Sarassantika  , Dang Thanh Trung  , Cintantya Budi Casita  , Roro Sulaksitaningrum  , Sudarno P. Tampubolon
Published: December 2023

This study focuses on strengthening scheme of an existing structure with added story. The addition of a new story increases gravitational loading, which affects the seismic and wind responses of the structure and, as a consequence, the loading combination. To ensure the structure’s capacity requirement, the strengthening scheme uses CFRP (Carbon Fiber Reinforced Polymer). In order to adequately define the structure's performance, a series of structural analyses were performed. The structure's state before and after story addition, subsequently the state after CFRP strengthening, were evaluated. It is demonstrated that the additional story to the structure causes an exceedance in internal forces; however, the strengthening with CFRP is sufficient to withstand these forces, proving that the strengthening scheme is effective and beneficial.
THE ROLE OF PPAT IN TAX OBLIGATIONS FOR THE PARTIES IN THE SELLING OF LAND RIGHTS
Authors: Andhyaksa I Putu Gede , Ramadana I Gusti Agung
Published: December 2023

This study discusses the role of Land Deed Making Officials (PPAT) related to tax obligations for parties in the sale and purchase of land rights in Denpasar City and the application of the authority of the Denpasar City Regional Revenue Agency (Bapenda) in determining tax obligations on the Value of Land Rights Acquisition Fees and Buildings (BPHTB) for buyers. This study is empirical legal research with a sociological approach and a conceptual approach. The data sources consisted of: primary, and secondary. The data analysis used in this study is descriptive qualitative. The results show that the Land Deed Official can only sign the Deed of Transfer of Rights to Land and/or Buildings after the Taxpayer submits proof of tax payment and assists the parties to fulfill their tax obligations from the transaction of transfer of rights to land and/or buildings and acts as supervision, controlling, reporting, and facilitating the BPHTB payment process. Another role is that PPAT can help submit requests for information on land market prices based on the will and power of the parties. The application of the authority of the Denpasar City Regional Revenue Agency (Bapenda) in determining tax obligations on the Value of Customs on Acquisition of Rights on Land and Buildings (BPHTB) for buyers who are not listed in the legislation is the use of the indicated price of Land Value (market price) as the basis for calculating BPHTB if the value of the agreement or the price of the sale and purchase transaction of the parties is lower than the price indicated by the value of the land issued by the Denpasar City Bapenda.
Partisipasi Masyarakat Dalam Pembangunan Infrastruktur di Desa Cibarusah Kota
Authors: Kharismania Fani , Priyanti Evi
Published: December 2023

Tujuan dilakukannya penelitian ini adalah untuk mengetahui peran masyarakat dalam pembangunan infrastruktur di Desa Cibarusah Kota, Kabupaten Bekasi, Provinsi Jawa Barat. Karena pada pelaksanaannya, proses pembangunan yang melibatkan masyarakat sebagian besar memiliki kendala yang berasal dari keikutsertaan masyarakat itu sendiri atau kinerja aparatur dalam mengkoordinir rencana pembangunan. Penelitian ini termasuk jenis penelitian kualitatif deskriptif dengan menggunakan teknik pengumpulan data yakni observasi, wawancara serta dokumentasi dan teknik analisis data melalui proses reduksi data, penyajian data serta diakhiri dengan penarikan kesimpulan setelah data terkumpul. Adapun hasil yang diperoleh dari penelitian ini adalah keterlibatan masyarakat Desa Cibarusah Kota dalam hal pembangunan, khususnya pembangunan infrastruktur desa sudah cukup berperan aktif dalam setiap tahap pelaksanaannya, walaupun secara keseluruhan masih terdapat beberapa kendala seperti pada perbedaan sudut pandang dan pola pikir antara warga pribumi dengan masyarakat pendatang saat penyampaian aspirasi pada tahap assesment. Namun di luar kendala yang ada, kerja sama antara perangkat desa dengan masyarakat sudah cukup terjalin dengan baik dan harmonis karena kesamaan visi yang dituju menciptakan umpan balik yang positif walaupun masih dalam tingkat keberlanjutan yang rendah.
Kebijakan Pariwisata Pascapandemi: Analisis Penerapan Agile Governance dalam Mengembangkan Komunitas Wisata Candi Borobudur
Authors: Winata Tirta Pandu , Wulan Dewi Ontro , Farhaturrahmah Tazkia Athala
Published: December 2023

Pandemi Covid-19 yang melanda seluruh dunia pada tahun 2020 sampai tahun 2022 memberikan dampak signifikan terhadap berbagai sektor, khususnya sektor pariwisata. Candi Borobudur menjadi salah satu objek wisata yang mengalami penurunan signifikan jumlah kunjungan dari wisatawan selama masa pendemi tersebut. Namun pada tahun 2023, status pandemi secara resmi telah dicabut dan menandai dimulainya era pascapandemi. Era ini diproyeksikan membawa perubahan signifikan pada sektor pariwisata karena meningkatnya mobilisasi yang dilaksanakan oleh masyarakat. Sehingga diperlukan penerapan konsep agile governance oleh setiap yang terlibat untuk mampu melahirkan tata kelola yang gesit dan inovatif. Penelitian ini menggunakan metode kualitatif dengan pendekatan deskriptif. Hasil dari penelitian ini menunjukkan adanya fenomena yang ditimbulkan dari penerapan agile governance dalam mengembangkan komunitas lokal Candi Borobudur. Pertama, terdapat perbaikan tata kelola melalui pengembangan sistem informasi wilayah, terdapat pembangunan fasilitas komunitas yang berorientasi bisnis, adanya upaya membuka partisipasi masyarakat dalam pengelolaan wisata, serta adanya orientasi solusi cepat untuk mengatasi permasalahan.
Estudos sobre Amartya Sen: participação política na era digital, superendividamento social e superação da insegurança alimentar
Authors: Zambam Neuro José , Vesoloski Simone Paula , da Silveira Margarete Magda
Published: December 2023

Amartya Sen é conhecido por seu trabalho sobre a fome e as injustiças sociais. Nessa perspectiva, argumenta que a fome não é causada apenas pela falta de alimentação, mas também por falhas importantes nos sistemas de distribuição e acesso aos alimentos. Uma sociedade democrática, atualmente com inúmeros limites e impedimentos para além de eleições periódicas e demais formalidades políticas e institucionais, precisa construir as justas condições de bem-estar social, especificamente a superação da fome, do superendividamento e outras mazelas. Que os escritos contidos nessa obra sejam mais um incentivo para o crescimento de todos e de todas para que, através da busca pelo conhecimento, contribuam para a evolução da sociedade multifacetada. Desejamos uma excelente e proveitosa leitura!