ethicalabs/Research-Intent-Collab huggingface dataset:
Nurse Competence On Patient Safety, Work-Related Quality Of Life, And Caring Behaviors Among Nurses In A Tertiary Hospital In General Santos City, Philippines

Abstract  The concept of caring holds a universal and important role in the art and science of nursing practice, including all facets of providing care to patients. In the Philippines, the direct link of nurse competence on patient safety and work-related quality of life towards the caring behavior has not been plausibly investigated in the critical care unit during the pandemic malady. This study aimed to determine the correlation of nurse competence on patient safety and work-related quality of life on the caringa tertiary hospital in General Santos City, Philippines. A descriptive-correlational design was used to delineate their significant relationship. The respondents were seventy (70) ICU nurses who were chosen through simple random sampling technique. The Critical Care Nursing Competence Questionnaire for Patient Safety (C3Q-safety), Work- Related Quality of Life (WRQoL) Scale, and Caring Behavior Inventory (CBI-24 nurse version), were used as the research instruments in the study. The results revealed that in the aspect of nurses’ competence on patient safety, the highest mean score was the principle of nursing care while collaboration domain received the lowest mean score. In terms of work-related quality of life, the job and career satisfaction domain of nurses got the highest mean score which specifically indicates that ICU nurses have a clear set of goals and aims to enable themselves to do their job. With regards to the caring behaviors of nurses, the knowledge and skills domain got the highest mean score while the domain of assurance of human presence got the lowest mean value of which it further explains on how nurses treated their patients as an individual. Significantly, nurse competence on patient safety and work-related quality of life showed a strong and positive relationship on the caring behavior of nurses. It suggests that nurses’ competence on patient safety and work-related quality of life are correlated with an increase in the level of caring behavior of nurses, thereby promoting safe and quality nursing care among critically ill patients. Consequently, a recommendation was also considered such as the establishment of a culture that promotes continuous learning which is crucial for enhancing the safety competency among critical care nurses and potential intervention program like basic nursing critical care to address the nurses’ caring behavior.
Proving international crimes in the context of implementing the complementarity principle of the Rome Statute of the International Criminal Court in Ukraine

The article examines the legal and praxeological aspects of proving international crimes in the context of implementing the complementarity principle of the Rome Statute of the International Criminal Court within the Ukrainian criminal justice system. It is emphasized that the ratification of the Rome Statute and the adoption of the Law of Ukraine No. 4012-IX of 9 October 2024, “On Amendments to the Criminal Code and the Criminal Procedure Code of Ukraine in Connection with the Ratification of the Rome Statute of the International Criminal Court and the Amendments Thereto,”became a systemic step toward integrating international standards of criminal justice into the national legal framework. These changes have formed the legal and procedural foundation for investigating the most serious international crimes – war crimes, crimes against humanity, genocide, and the crime of aggression.  It is substantiated that the introduction of new provisions into the Criminal Code of Ukraine (Articles 31-1, 442-1) and the revision of Articles 49 and 442 are aimed at ensuring the inevitability of punishment for international crimes in accordance with the principles of the Rome Statute. The amendments to Article 216 of the Criminal Procedure Code of Ukraine, which assign the investigation of crimes against humanity to the Security Service of Ukraine, have ensured the concentration of specialized powers and technical capacities for effective evidence collection and analysis.  The article reveals the legal aspects of obtaining evidence during the investigation of war crimes, crimes against humanity, and genocide under conditions of armed conflict, including the use of digital forensics, OSINT research, satellite monitoring, and big-data analytics. Special attention is paid to the principle of non- applicability of statutory limitations to international crimes, which guarantees the restoration of investigations after the de-occupation of territories and ensures the continuity of criminal procedural proof.  The author emphasizes the need to harmonize national legislation with Articles 8 bis, 17, and 28 of the Rome Statute, to define the range of perpetrators of the crime of aggression (Article 437 of the Criminal Code of Ukraine) considering the practice of the Supreme Court, and to reform Article 438 of the Criminal Code of Ukraine by abandoning the referential construction and establishing a systematic catalogue of war crimes. It is concluded that the implementation of the complementarity principle strengthens the institutional capacity of national criminal justice, affirms the rule of law, and guarantees the inevitability of punishment for international crimes that threaten peace, security, and the existence of humanity.
The Trial within Cohorts (TwiCs) study design in oncology: Experience and methodological reflections

A Trial within Cohorts (TwiCs) study design is a trial design that uses the infrastructure of an observational cohort study to initiate a randomized trial. Upon cohort enrollment, cohort participants provided consent for being randomized in future studies without being informed. Once a new treatment is available, eligible cohort participants are randomly assigned to this new treatment or standard of care. Patients randomized to the treatment arm are offered this new treatment, which they can refuse. Patients who refuse will receive standard of care instead. Patients randomized to the standard of care arm, receive no information about the trial and continue receiving standard of care as part the cohort study. Standard cohort measures are used for outcome comparisons. The TwiCs study design aims to overcome some issues encountered in standard Randomized Controlled Trials (RCTs). An example of an issue in standard RCTs is the slow patient accrual, which a TwiCs study aims to improve by selecting patients using a cohort and only offering the intervention to patients in the active arm. In oncology, the TwiCs study design has gained increasing interest during the last decade. Despite its potential advantages over RCTs, the TwiCs study design is concerned with several methodological challenges that need careful consideration when planning a TwiCs study. In this article, we focus on these methodological challenges and reflect on them using experiences from TwiCs studies initiated in oncology. Important methodological challenges that are discussed are the timing of randomization, the issue of non-compliance (refusal) after randomization in the intervention arm, and the definition of the intention-to-treat effect in a TwiCs study and how this effect is related to its counterpart in standard RCTs.
Evaluation of Pre-Training with the da Vinci Skills Simulator on Motor Skill Acquisition in a Surgical Robotics Curriculum

Training for robotic surgery can be challenging due the complexity of the technology, as well as a high demand for the robotic systems that must be primarily used for clinical care. While robotic surgical skills are traditionally trained using the robotic hardware coupled with physical simulated tissue models and test-beds, there has been an increasing interest in using virtual reality simulators. Use of virtual reality (VR) comes with some advantages, such as the ability to record and track metrics associated with learning. However, evidence of skill transfer from virtual environments to physical robotic tasks has yet to be fully demonstrated. In this work, we evaluate the effect of virtual reality pre-training on performance during a standardized robotic dry-lab training curriculum, where trainees perform a set of tasks and are evaluated with a score based on completion time and errors made during the task. Results show that VR pre-training is weakly significant ([Formula: see text]) in reducing the number of repetitions required to achieve proficiency on the robotic task; however, it is not able to significantly improve performance in any robotic tasks. This suggests that important skills are learned during physical training with the surgical robotic system that cannot yet be replaced with VR training.
Field‐Based Evaluation of a SIMPLE Crop Model for Sesame (                     <i>Sesamum indicum</i>                     L.): Growth Simulation and Yield Prediction

The study assesses how well the SIMPLE crop model predicts sesame growth and yield under diverse environmental conditions in Cho Moi District, An Giang Province, Vietnam, year 2023–2024. Validation of the model was conducted using field data and sensitivity analysis was carried out for key parameters. Results showed the model performs reliably, with prediction errors (relative root mean square error [RRMSE]) below 6.5% across both seasons. Sensitivity tests using Morris and Fourier amplitude sensitivity test methods revealed that accumulated temperature (                     T                     sum                     ), sensitivity of radiation use efficiency to drought stress (                     S                     Water                     ), and how efficiently plants convert sunlight into biomass (radiation use efficiency [RUE]) strongly influence yield. Particularly,                     T                     sum                     drove yield changes in the autumn–winter (AW) season, while                     S                     Water                     became critical in the drier winter–spring (WS) season, underlining how seasonal weather shifts reshape crop responses. Simulations further projected that a 5°C temperature rise would shorten the growing period by 10–12 days, slashing biomass by over 15%, and reducing yields by 15.5%. Higher CO                     2                     levels (600 ppm) boosted biomass by 16.8%, but this gain was erased when combined with heat stress. The research stresses the importance of sensitivity analysis in crop modeling, not only for improving accuracy but also for guiding targeted investments in climate‐resilient farming practices. For regions like Vietnam’s Mekong Delta, where water and heat extremes threaten staple crops, such tools are vital for tailoring adaptive strategies to local conditions.