bluuebunny/crossref_metadata_2025 huggingface dataset:
Heidegger Düşüncesinde Teoloji ve Yeni Tanrı
Authors: Ersahin Karakas Sevim
Published: September 2024

Heidegger Düşüncesinde Teoloji ve Yeni Tanrı
Öz: Heidegger Batı düşüncesini oluşturan temelleri bize gösterirken aynı zamanda onun onto-teolojik kökenlerini de ortaya koyar. Bu çalışmamızda, Heidegger’in felsefe aracı olan destrüksiyonuyla felsefe ve teoloji arasında nasıl net bir ayrıma gittiğini, Batı metafiziğinin kökeninin onto-teolojik olduğu tespitine nasıl vardığını ve en nihayetinde de Alman filozofun anlayışında Varlık ve Tanrı’nın aynı şeyler olmadığını göstermeye çalacağız. Heidegger, Batı metafiziği ve Modernite eleştirisinin önemli ayaklarından birini oluşturan onto-teolojik köken analiziyle, “Dünya-Varlık hadisesinin” dile gelmesinde başat rol oynayan kutsallık ve Tanrı kavramlarını Hristiyanlık teolojisi dışında “başka” bir biçimde, yani Tanrı kavramını “Dünya-Varlık hadisesini” veren ögelerden biri olarak ortaya koyar. Dolayısıyla bu çalışma, Heidegger’in Tanrı kavramını nasıl zaman mefhumuyla ilişkilendirildiğini ortaya koymaya çalışır.
Factors Affecting Location-Based Career Planning of Freelance Employees: An Asymmetric Analysis by OECD Member Countries
Authors: Gürsoy Sergen
Published: September 2024

The growing interest in freelancing after the 1980s has led to the need to deepen the academic scope. Although there are various studies on freelancing, location-based studies have remained at a basic level. The study aims to identify the factors affecting the location-based career planning of freelancers in the context of OECD countries. In this context, the methodology of the research is a theoretical comparative qualitative analysis based on asymmetric analysis (Fuzzy Set QCA). The adequacy/requirements, configurations and country-specific clusters of effective conditions suitable for self-employment are revealed. According to the research findings, while all variables are found to be sufficient for the freelancing score in a singular sense, the absence of demand for freelancers reveals the absence of demand for the freelancing score as an absolute requirement. Based on the configuration results, specific results are found that could potentially suggest a model for freelancing status (FS) and non-freelancing status (~FS) of countries. Ultimately, the findings are instrumental in identifying the most favorable conditions and countries for freelancers. In this way, the research enables employees to plan their careers by taking into account the conditions that they deem important for them individually.
Modifications to an amphibious unoccupied ground vehicle for survey operations
Authors: Durkin Patrick , Bak A. , Saenz Matthew
Published: September 2024

Developing unoccupied systems capable of collecting data in the very shallow water (<10 m) and surfzone (typically <3 m) is a challenging task for many reasons including waves, sediment, bubbles, and turbulent velocities. This document focuses on describing some of the additions, enhancements, and refinements to a commercial-off-the-shelf (COTS) system, the SeaOx, available from Bayonet Ocean Vehicles (previously C2i). In addition, practical experience in using this platform to collect data in the surfzone is documented.
The idea of autonomy in view of the republican critique of the modern liberal conception of freedom
Authors:   Far Eastern Federal University, Smirnov Ilya
Published: September 2024

In the European philosophical tradition, there are two trends in the understanding of freedom – the negative concept of freedom, which grew out of the mechanicism of the 17th century, which formed the basis of the liberal political tradition, and the con­cept of freedom as autonomy, established in a modern form in the works of Benedict Spinoza and Immanuel Kant, and later becoming the basis of the Republican politi­cal tradition. Historically, the negative concept of freedom has assumed a dominant position, in certain periods completely replacing all alternatives. However, the appeal to the idea of freedom as a state of autonomy can become one of the significant ap­proaches to critique of the liberal understanding of freedom, way of understanding its limitations. The historical analysis of the formation of the liberal concept of freedom al­lows us to identify those features of it that prevent this conceptualization of freedom from fully comprehending all forms of external influence leading to a state of unfree­dom. These include, in particular, the limited understanding of interference in free choice, characteristic of liberalism due to the spirit of mechanicism embedded in it at the early stages of its development. This limitation in the liberal concept of freedom can be identified by referring to the Republican tradition of understanding freedom that inherited its definition of freedom from the legal tradition of Antiquity and postulates the need for the absence of not only arbitrary interference in an individual’s free choice, but also the very possibility of such an interference (something that is allowed in some forms of liberalism). At the same time, the appeal to the concept of autonomy in the form of a comparative analysis of the republican understanding of freedom and freedom as autonomy allows us to reveal the limitations of the republican understanding of free­dom, the reliance on which does not allow us to consider the external restrictions of freedom associated with the inculcation of certain values and their subsequent inter­nalization.
Risk Space and Driving – Elementary Failures in Understanding
Authors: Hudson T. G. L. , Hudson P. A. R. , Hudson P. T. W.
Published: September 2024

Objectives/Scope

The paper uses concepts introduced in SPE-199446 (Hudson, 2020) and SPE-199401i (Hudson, 2020) to place driving into the proper category for risk assessment. The paper sets out why current approaches to managing the risk to operations posed by driving do not always produce the results desired. The paper then links this to the cultural level of the organisations

Methods, Procedures, Process

The paper considers the dimensionality of the risk spaces in which land transport operations operate. This includes barrier placement knowledge from SPE 197793 and uses the Detect-Decide-Act (DDA) concepts from the CCPS (Bow Ties in Risk Management: A Concept Book for Process Safety) the paper then examines where the loci of control are for the different dimensions. The paper then examines the organizational controls at the managerial levelii(L2) (Hudson, 2020).

These results are compared to different high-risk operations to examine the difference in organizational control in the outcomes of those operations.

Results, Observations, Conclusions

In general, driving is seen to be an exceptional category in the hazards to which organisations are exposed. Depending on the operation type, driving can be the largest source of unmitigated riskiii (Hudson, 2010). The paper shows that the driving risk space is not only physically highly dimensional, but also that almost every single barrier to failure is procedural. Thus, the risk space can be considered to be complex.

When compared to other operations with complex riskspace such as fixed wing operations or offshore helicopter operations, it becomes clear that organisations do not control the various risk dimensions to the same degree in driving operations. For example, the main external risk a pilot has to manage is weather, as the interactions with other aircraft are managed by air traffic control. However, a driver manages not only weather, but also navigation, road conditions, and most importantly other traffic.

This means that the risk management controls required need to be of sufficient sophistication that organisations are able to:

The paper contrasts these needs with the typical programs used to manage driving. The paper shows that proper management of dimensions within the span of control of the organisation can help improve the outcomes for organisations.

Please explain how this paper will present novel (new) or additive information to the existing body of literature that can be of benefit to a practicing engineer.

By placing driving in the correct risk space category (complex), the paper provides insight and understanding into why driving programs will or will not provide the outcomes desired. The paper shows what organisations should consider managing, as well as why current efforts are not delivering.
Improving Driving Behaviors Using AI-Enabled Dashcam Technology
Authors: Ordonez Alejo , Englehardt Eric
Published: September 2024

This paper discusses how a global energy technology company implemented an artificial intelligence (AI) enabled dashcam initiative to improve identification of high-risk driving behaviors in order to focus on driver coaching efforts to further reduce automotive incident rates.

Historically, driver improvement technology has been effectively used to identify and monitor driver behavior such as speeding, sudden braking, harsh turns and hard acceleration which provided drivers and managers with feedback to help improve driver safety.

To achieve the next step change in driver performance improvement, the company partnered with a specialist provider of AI-enabled dual facing dashcam technology to utilize a more technological robust solution to identify and coach at-risk driving behaviors which could not be identified with existing driving improvement technology.

The implementation of AI-enabled camera-based technology has to be sensitively managed to ensure the workforce embrace the benefits of such systems. A soft launch implementation included a comprehensive communication campaign with frequently asked questions. The systematic use of facial blurring allowed drivers to become more comfortable with the adoption of this innovative technology in company vehicles.

Historical driver performance monitoring reports rated drivers based on metrics such as speeding, sudden braking, harsh turns, and hard acceleration. Exceptionally safe driving performance was indicated with 98% of drivers scoring well. The implementation of the dashcam AI technology incorporated distracted driving, mobile phone usage, and rolling stops within the driver performance report. With these additional criteria, the percentage of high performing drivers decreased to 65%.

The dual facing dashcams use AI technology to detect distraction events, which enables quick action and coaching of drivers to correct the behavior. The technology implementation resulted in a 98% improvement in detected distracted driver events. The technology also aided in identifying and intervening in fatigue related events and providing evidence in event investigation. In 2023, despite a 20% increase in driving mileage, a 28% reduction in overall automotive incident rate has been achieved.

The utilization of dashcam AI technology can enable a further step change improvement in driving behavior and performance making the roads safer for both company drivers and the local community.
Efficient Well Barrier Management a Key Contributor to HSE and Sustainability- An Offshore Experience
Authors: Srivastava M. , Gouda M. , Alhosani A. , Al Saadi M. , Al Hammadi H.
Published: September 2024

Well barriers are challenging and most of the barriers are below surface. With its efficient management system ADNOC Offshore has minimized the impact by efficient monitoring and mitigation strategies in place.

ADNOC offshore has established a Well Integrity management system which takes care of barrier management for the well life cycle. The company has a philosophy of always maintaining two barriers for oil and gas wells. Right from well design the effective and efficient barriers are designed based on the perceived hazards. During well construction the barriers are verified based on the expected performance standard. During production / injection operations the barriers are monitored, tested, and repaired in case of barrier failure. At the end of well life, it is plugged by proper barrier design to ensure no failures in future.

After the implementation of the management, gradual reduction in well risk has been demonstrated. All the well risks are mapped in a risk register with short-term and long-term actions to have a focused emphasis in monitoring and mitigating risks. Efficient tools have been developed to notify the engineers to take prompt actions.

The focus has been on remote monitoring systems with an aim for autonomous operations as our dream.

Due to efficient testing of barriers, there has been no uncontrolled external leak of hydrocarbon to the environment thereby reducing the methane emission which is one of the contributing factors for global warming.

Efficient systems have let us optimize the monitoring program by reducing human exposure at site.

In addition to achieving high HSE performance and improved KPI’s the company has been able to demonstrate the positive impact on the environment. This could be achieved by adoption of proactive measures which enhance integrity and result in a lower carbon footprint during our operations.
Novel Approach on Utilizing Reverse Osmosis Rejected Saline Stream for Mangrove Trees Restoration & Water Conservation Management
Authors: Alwarthan Abdullah , Alaskar Sarah , Mulhim Abdulaziz , Hammad Maha , Rubayan Khalid Bin , Alofaisan Omer
Published: September 2024

Water scarcity is a pressing global challenge that almost affect two thirds of the world’s population for at least one month each year [1][7]. This crisis is characterized by both the lack of sufficient water and fresh water to drink. This can be caused by many factors including water overuse, arid climates, population growth and water pollution.

Climate change is aggravating water scarcity by alerting the patterns of weather and water, causing droughts in many areas in the world and floods in other areas, excessive heat which melt glaciers and snow that supplies fresh water to the downstream communities and by next Year 4 billion people will face water shortages due to these factors and many others.

Depletion of freshwater resources, rivers and lakes drying, and destruction of wetlands are part of the significant environmental impacts caused by water scarcity. Furthermore, human activities and the advance of industrialization are accelerating the depletion of water resources at an unprecedented rate. According to World Wildlife Fund (WWF) agriculture is a major contributor to water scarcity, consuming around 2,650 billion m3 of the world’s accessible water reserves each year and increasing [2]. Which account for 68% of the global water consumption annually. This issue rises due to the inefficient irrigation in many areas causing more than 50% of the water used in agriculture to be wasted in excessive irrigation and unmanaged use of water [2][3]. industry comes in second, accounting for little less than 20% of the global water use. Energy generation, especially in thermodynamic power generation, demands substantial volumes of cooling water for industrial operations. This reliance poses a significant challenge as it amplifies water scarcity, particularly in regions where there's already a high demand for energy and limited water resources. Additionally, wastewater generation from industrial applications is polluting freshwater resources exacerbating water scarcity and environmental degradation. Lastly is domestic use which only accounts for 12% of the global water consumption on average. This percentage becomes less than 10% in the low and lower to middle classes where water scarcity is becoming a pressing issue [3]. Water consumption rate for domestic use has been increasing each year by 20% since 2000. This escalating demand is especially pronounced in low-income and developing countries, particularly in areas with high population densities and limited financial resources.
ADNOC’s Journey to Turn Social Risk Management into Action
Authors: Luca C. W. F. , van Cranenburgh K. C. , Aguirre J. D. Correa
Published: September 2024

In 2020, ADNOC started introducing social risk management (SRM) in project delivery and operations to prepare for the increasingly complex social performance demands of local and international stakeholders. Effective implementation requires early assessment of social impacts and proactive engagement of stakeholders, which can only be achieved if all technical and non-technical (outward-looking) disciplines work seamlessly together. This paper describes an integrated and multi-disciplinary approach to achieve this, aligned with international standards, yet adapted to local customs.

ADNOC’s HSE Management System was chosen as the backbone of the program to which a dedicated SRM policy and standard were added. This SRM standard includes requirements, processes, reporting templates and tools to perform social impact assessments and engage external stakeholders. Key topics of the standard were aligned with international standards on social performance and stakeholder engagement, and blended with local culture and customs. A company-wide training program, appointment of SRM specialists, and coaching by specialized consultants were provided to support implementation. An internal organizational structure was designed to ensure internal alignment between the various disciplines, a prerequisite for consistent communication with external stakeholders. Implementation of the foundations of the SRM program was completed over a period of three years with external help. Internal resources are now continuing implementation.

The prerequisite of internal alignment across all layers of ADNOC was and is the most important and challenging part of the program. ADNOC is a conglomerate of many different companies and ventures in which cross-organizational and cross-disciplinary alignment at operational level does not come naturally. Therefore, the program design had to address both the organizational and behavioral aspects of this situation. The speed of implementation could only happen thanks to strong and direct involvement of ADNOC senior management.

Several more years are needed until SRM is fully embedded as a new discipline, adequately resourced and experienced, and until its policy and procedures are implemented as a matter of business-as-usual, not only within ADNOC, but also amongst its partners, suppliers and contractors. In addition, SRM will need to be kept up to date with international developments such as new directives by the European Union that are turning international standards into regulation.

ADNOC’s program is the first and most comprehensive approach to social performance in the Gulf region that successfully blends local customs and international requirements for social performance. A key novelty of the program is the organizational model that enhances internal cooperation and alignment between disciplines and operating companies in ADNOC to ensure consistency of implementation and a single voice to external stakeholders.
PAM Water Salinity Evaluation to Enhance Deep-Water Disposal Strategy in Amin Formation
Authors: AL Isaee Omar , Smirnov Dmitrii
Published: September 2024

Injecting disposal water at Haima Group intervals give us an additional overlaying volume of rocks that helps to control and contain the water injected in the bottom. The main criterion for selecting the Haima group to inject the produced water, is that the in-situ aquifer water salinity meets the legal requirement which is above 35,000 ppm. This work was done to enhance deep-water disposal strategy in Water Bearing Formation.

The pressure data analysis model (PAM) is introduced using the re pre-computation module "Water properties from temperature, pressure and salinity" to estimate formation water density. Formation temperature and pressure values used as an input for the calculation are based on wireline pressure measurements. Different water salinity values are used to find a good match between the calculated water density in the pressure data analysis model (PAM) and water density from pressure gradient and hence water salinity for known water density, temperature and pressure can be estimated.

It is likely that deep invasion occurred in most DWD (Deep Water disposals) wells while drilling. This has significant effect in the resistivity data, which lead to wider range of the calculated mud filtrate salinity. However, results of formation pressure measurements are not affected by mud invasion. Therefore, the pressure data analysis model (PAM) provides reasonable confidence in the formation water salinity in DWD (Deep Water disposals) area. Safe top perforation depth range is easily determined considering the uncertainties. Uncertainty for the water salinity estimate is mainly depending on the uncertainty for the formation pressure gradient. Pressure gradient uncertainty is related to the water density & salinity change with the depth. the pressure data analysis model (PAM) helps to meet the legal requirement for water disposal strategy (above 35,000 ppm) in in-situ aquifers. Pickett plot analysis and MDT water sampling are not recommended in the DWD (Deep Water disposals) area due to expected deep invasion profile.

The novelty of the pressure data analysis model (PAM) for evaluating the formation water salinity is that this method provides reasonable confidence of the water salinity across the entire interval without the need to have BH fluid sampling (much expensive). This helps to have a better deployment in executing the future DWD (Deep Water disposals) in the area and optimizing the injecting interval.
The Future of Field Operations: Unmanned Aerial Systems Innovating Safety and Efficiency in Khurais
Authors: Alhamraa Abdulla Mashan , Shahrani A. O. , Dossary B. N. , Obayaih S. N.
Published: September 2024

This paper explores the transformative impact of unmanned aerial systems (UAS) on operational efficiency, safety, and emergency response within the Khurais oil fields. By integrating sophisticated drone technology, significant improvements have been achieved in routine inspections, leak detection, and emergency scenarios. The study highlights the pivotal role of drones in enhancing operational excellence, providing a model for innovation in the oil and gas industry.
Managing Societal Aspects of Exploration & Production Operations in Sensitive Area: Case in Mahakam Block
Authors: _ Suripno , Arini Frisca , Rahmaningrum Riana , Yuli Ahmad
Published: September 2024

Stakeholders are one of the important actors in operations in the Block Mahakam Working Area. PT Pertamina Hulu Mahakam (PHM) has conducted Identification, Mapping and Assessment of stakeholders to determine key stakeholders. PHM has challenges in its operational activities to continue to find new sources of oil and gas reserves through exploration and exploitation to achieve production targets in the mature block Mahakam in meeting Indonesia's energy needs. The drilling and production process can have an impact on communities around the operating area that intersect directly which makes the location/ area can be a sensitive area. Geographically unique, which is a forestry area that administratively records 3 villages in the Mahakam Delta, namely Sepatin Village, Muara Pantuan Village and Tani Baru Village, are included in the sensitive area with a total population of 13,025 people (in 2019). Low income and education levels are a concern for the company. In addition, basic needs such as clean water, electricity, and communication networks are difficult to access. Problems that occur around the operation area can create social jealousy for the local community. This is a special concern to measure the risks that impact the company to determine the action plan.
Digital Lockout/Tagout Tracking and Control System
Authors: Khawi H. A. , Asmary A. M.
Published: September 2024

The effectiveness of the Lockout/Tagout (LOTO) system is vital to achieving optimum workplace safety in the oil and gas industry. As a traditional method, LOTO can be considered as much a tool as the training provided to the industrial workforce for awareness of the system. It is necessary but not adequate alone to ensure a foolproof LOTO system. This paper examines the conversion of the LOTO system into a computerized configuration, which will consequently shoot it another notch with an additional layer of safeguarding protection toward a better overall safety measurement. The tracking of every lock used or removed on any piece of equipment within the plant is therefore done meticulously by this digital LOTO system. Besides, it continuously monitors for any leak in the system and reports the occurrence. In this regard, safety was being observed from all angles.

The electronic interface is developed to be user-friendly. For instance, isolation equipment and details of the LOTO can be documented and replace age-old manual paperwork that was in use. This changeover to an electronic system makes the whole exercise easy and, in the process, makes the entire exercise efficient and minimizes the chances of human error taking place. Among the benefits of system digitalization is that the LOTO system integrates with the Power BI dashboard. Hence, the safety compliance coordinators and company management are in a position to monitor the LOTO system from far places in real time. The real-time data availed by the dashboard makes decisions timely and assures that issues are dealt with on time to sustain a high level of safety compliance. Digital lockout/tag-out systems also benefit operational policies. It reduces downtime during quarterly assessments since the digital records are more accessible and easily audited than paper logs. The system also minimizes errors that can be made in manual entry and record-keeping. This, therefore, heightens safety in workplaces.

A digital system improves efficiency and access in LOTO and ensures a safer working environment for the oil and gas industry. By adopting digital solutions, companies can be assured of a more reliable and robust LOTO system, thus ensuring more protection for their workforce and assets.
Systemic and local immune responses to glioblastoma surgery help tailoring combinatory regimens
Authors: Bastiancich Chiara , Snacel-Fazy Emmanuel , Fernandez Samantha , Robert Stephane , Stacchini Roberta , Plantureux Lea , Boissonneau Sebastien , Testud Benoit , Guillet Benjamin , Debarbieux Franck , Luche Hervé , Figarella-Branger Dominique , Estève Marie-Anne , Tabouret Emeline , Tchoghandjian Aurélie
Published: September 2024

Glioblastoma (GBM), an incurable primary brain tumor, typically requires surgical intervention followed by chemoradiation; however, recurrences remain fatal. Our previous work demonstrated that a nanomedicine hydrogel (GemC12-LNC) delays recurrence when administered post-surgery. However, tumor debulking also triggers time-dependent immune reactions that promote recurrence at the resection cavity borders. We hypothesized that combining the hydrogel with an immunomodulatory drug could enhance therapeutic outcomes. A thorough characterization of the post-surgical microenvironment (SMe) is crucial to guide combinatorial approaches.
In this study, we performed cellular resolution imaging and flow cytometry to characterize the SMe in a syngeneic mouse model of tumor resection. Owing to our dynamic approach, we observed transient opening of the blood-brain barrier (BBB) during the first week after surgery. BBB permeability post-surgery was also confirmed in GBM patients. In our murine model, we also observed changes in immune cell morphology and spatial location post-surgery over time in resected animals as well as the accumulation of reactive microglia and anti-inflammatory macrophages in recurrences compared to unresected tumors. Therefore we investigated whether starting a systemic treatment with the SMAC mimetic small molecule (GDC-0152) directly after surgery would be beneficial for enhancing microglial anti-tumoral activity and decreasing the number of anti-inflammatory macrophages around the GemC12-LNC hydrogel-loaded tumor cavity. The efficacy of this combination therapeutic approach was confirmed by survival analysis and correlated with reversal of the immune profile as well as delayed tumor recurrence.
This comprehensive study identified critical time frames and immune cellular targets within the SMe, aiding in the rational design of combination therapies to delay recurrence onset. Our findings suggest that post-surgical systemic injection of GDC-0152 in combination with GemC12-LNC local treatment is a promising and innovative approach for managing GBM recurrence, with potential for future translation to human patient.
NUCKS1 promotes invasion and metastasis of colorectal cancer by stabilizing HDAC2 and activating AKT
Authors: Song Yang , Zhu Liaoliao , Zhao ting , Su Haichuan , Li Junqiang , Shen jing , Zhang liang , Chen jun
Published: September 2024

Nuclear ubiquitous casein and cyclin-dependent kinase substrate 1 (NUCKS1) functions as an oncogene in colorectal cancer (CRC), promotes the progression of CRC, and is associated with poor prognosis in patients. Studies have found that NUCKS1 promotes tumor cell metastasis, yet its role in CRC invasion and metastasis remains unclear. To investigate this, transwell migration and invasion assay, wound healing assay, and immunofluorescence assay were performed in vitro. Additionally, label-free protein quantification, coimmunoprecipitation (Co-IP), q-PCR, and Western blotting were utilized to analyze NUCKS1's molecular mechanisms in CRC. In vivo, CRC cells were injected into the tail vein to examine NUCKS1's impact on lung and liver metastasis in mice, with hematoxylin-eosin (HE) staining used to evaluate metastatic lesion sizes. Results indicated higher NUCKS1 expression in metastatic CRC compared to non-metastatic samples. Knockdown of NUCKS1 in vitro inhibited CRC invasion and metastasis. Moreover, NUCKS1 was initially found to upregulate HDAC2 expression by inhibiting the lysosomal pathway, activating AKT, and thus promoting CRC invasion and metastasis. In vivo, overexpression of NUCKS1-induced lung and liver metastasis was suppressed by HDAC2 knockdown or intraperitoneal administration of the HDAC2 inhibitor Santacruzamate A. These findings suggest that NUCKS1 contributes to CRC invasion and metastasis by stabilizing HDAC2 and activating AKT, highlighting NUCKS1 and HDAC2 as potential therapeutic targets for CRC.
Strategies for Implementing GlobalConsent to Prevent Sexual Violence in University Men (SCALE): Study Protocol for a National Implementation Trial
Authors: Yount Kathryn M , Whitaker Daniel , Fang Xiangming , Trang Quach Thu , Macaulay Meghan , Hung Minh Tran
Published: September 2024

Background
Globally, women 15–24 years are at heightened risk of sexual violence victimization, a risk factor for adverse mental, physical, and behavioral health outcomes. Sexual violence is common at universities and most often perpetrated by men, yet few evidence-based prevention strategies targeting men have been tested in low- and middle-income countries. GlobalConsent is a six-module, web-based educational program adapted from an efficacious U.S.-based program. Nine months post-treatment in a randomized trial in Vietnam, GlobalConsent reduced men’s sexually violent behavior (Odds Ratio [OR] = 0.71, 95%CI 0.50-1.00) and increased prosocial intervening behavior (OR = 1.51, 1.00-2.28) relative to an attention-control. Evidence regarding optimal implementation strategies for scale up is needed.
Methods
We will randomize six medical universities in North, Central, and South Vietnam to deliver GlobalConsent using two different packages of implementation strategies that vary in intensity. Higher-intensity strategies will include greater 1) pre- and post-implementation engagement with university leaders and faculty, and 2) greater pre-implementation outreach, follow-up, and incentives for students to promote engagement and completion of GlobalConsent. Higher intensity universities will receive additional training and support for their added activities. We will compare implementation drivers and outcomes, intervention effectiveness, and cost-effectiveness across the two implementation bundles. Our mixed-methods comparative interrupted time-series design includes 1) qualitative interviews and quantitative surveys with university leaders and implementation teams to assess implementation barriers and facilitators; 2) repeated surveys with leaders and faculty, implementation teams, and male students to assess multilevel implementation drivers and outcomes, 3) repeated surveys with male students to assess behavioral outcomes (sexual violence and intervening behavior) and mediating variables (knowledge, attitudes, affect, and capacities), and 4) time diaries and cost tracking to assess cost effectiveness of the two implementation-strategies bundles.
Discussion
This project is the first to assess packages of implementation strategies to deliver an efficacious web-based sexual-violence-prevention program for undergraduate men across all regions of Vietnam and synergizes with a violence-prevention training initiative (D43TW012188). This approach will produce rigorous evidence about how to disseminate GlobalConsent nationally, which holds promise to reduce gender-based health inequities linked to sexual violence as GlobalConsent is brought to scale.
Trial registration
NCT06443541. Retrospectively registered with clinicaltrials.gov.
Association of single and combined effects of blood heavy metals with cognitive function in older adults of the United States: A cross-sectional study
Authors: Wang Na , Guo Liang , Shi Menglian , Wang Long , Zhou Ying , Liu Huanbing , Xu Xin qun
Published: September 2024

Background
Heavy metal exposure has been associated with various diseases. The purpose of this study was to determine the single and combined effects between blood heavy metals and cognitive function in older adults.
Methods
This observational study utilizes data from the National Health and Nutrition Examination Survey (NHANES) between 2011 and 2014 and involved 1460 participants aged ≥ 60 years. The concentrations of blood lead (Pb), cadmium (Cd), mercury (Hg), selenium (Se), and manganese (Mn) were measured using inductively coupled plasma mass spectrometry (ICP-MS). Cognitive function was assessed using the immediate Recall test (IRT), delayed recall test (DRT), animal fluency test (AFT), and digit symbol substitution test (DSST). Linear regression, restricted cubic spline (RCS), and subgroup analyses were used to assess the relationship between blood heavy metal concentrations and cognitive function.
Results
Multiple linear regression analysis showed a negative correlation between Cd concentrations and comprehensive cognitive scores (β=-2.698, 95% CI: -4.842, -0.554). Blood Se levels were positively correlated with comprehensive cognitive scores (β = 0.049, 95% CI: 0.022, 0.076) and all four cognitive domains. The RCS showed that the dose-response association between Cd and comprehensive cognitive scores appeared to be linear (P-nonlinear = 0.566), while Se exhibited a parabolic shape tilted to the left relationship with comprehensive cognitive scores (P-nonlinear = 0.013).
Conclusions
A high concentration of Cd is strongly associated with cognitive decline. However, the protective effect of Se on cognitive function plateaus after reaching a certain concentration. These findings may have significance for the development of interventions aimed at alleviating cognitive impairment.
GINNA, a 33 resting-state networks atlas with meta-analytic decoding-based cognitive characterization
Authors: Gillig Achille , Cremona Sandrine , Zago Laure , Mellet Emmanuel , de Schotten Michel Thiebaut , Joliot Marc , Jobard Gaël
Published: September 2024

Since resting-state networks were first observed using magnetic resonance imaging (MRI), their cognitive relevance has been widely suggested. These networks have often been labeled based on their visual resemblance to task activation networks, suggesting possible functional equivalence. However, to date, the empirical cognitive characterization of these networks has been limited. The present study introduces the Groupe d’Imagerie Neurofonctionnelle Network Atlas, a comprehensive brain atlas featuring 33 resting-state networks. Based on the resting-state data of 1812 participants, the atlas was developed by classifying independent components extracted individually, ensuring that the GINNA networks are consistently detected across subjects. We further explored the cognitive relevance of each GINNA network using meta-analytic decoding and generative null hypothesis testing, linking each network with cognitive terms derived from Neurosynth meta-analytic maps. Six independent authors then assigned one or two cognitive processes to each network based on significant terms. The GINNA atlas showcases a diverse range of topological profiles, including cortical, subcortical, and cerebellar gray matter, reflecting a broad spectrum of the known human cognitive repertoire. The processes associated with each network are named according to the standard Cognitive Atlas ontology, informed by two decades of task-related functional magnetic resonance imaging, thus providing opportunities for empirical validation.
The SUPERMAN orthologous Genes PaSUP1/2/3 of Platanus × acerifolia Have Functional Differentiation in Transgenic Arabidopsis
Authors: Zhou Zheng , Zhang Jiaqi , Bao Manzhu
Published: September 2024

The gene SUP (SUPERMAN) encodes a transcription factor that plays an important role in floral organ development in Arabidopsis thaliana. There are three SUP orthologous genes PaSUP1/2/3 in London plane (Platanus × acerifolia) that contain two conserved domains involving C2H2-type zinc finger motif and EAR-like repression motif. The spatial expression pattern of PaSUP1 indicated its sex-specific expression at female inflorescences, while the temporal expression pattern in flower-bud reflected its role in the differentiation of unisexual flowers. Nevertheless, other two orthologous genes PaSUP2/3 had inactive expression patterns around the year. The subcellular localizations of PaSUP1/2/3 implied that they were more than nuclear-localized. Both 35S::PaSUP1 transgenic Arabidopsis and tobacco showed developmental defects in floral organs similar to the ectopic expression of SUP, whereas 35S::PaSUP2/3 transgenic Arabidopsis showed only abnormal leaf phenotype. In 35S::PaSUP1 transgenic Arabidopsis and tobacco, floral organs were smaller than wild-type and the outer three whorls had been more strongly suppressed compared to the fourth whorl. The epidermal cells on floral organs of 35S::PaSUP1 transgenic Arabidopsis were smaller than wild-type through scanning electron microscopy observation. Transcriptome analysis at inflorescences of 35S::PaSUP1 transgenic Arabidopsis indicated that anther and pollen developmental related genes were significantly downregulated. Meanwhile, the yeast two-hybrid assay and BiFC analysis demonstrated interactions between PaSUP1 and TFL2, which may lead to the downregulation of auxin-related genes YUC1/4 in inflorescences of transgenic Arabidopsis. Moreover, transgenic Arabidopsis with pPI::PaSUP1 showed normal vegetative growth without fruits. In the future, PaSUP1 transgenic modification in London plane may help to cultivate sterile germplasm, which can solve problems of pollen allergy and seed hairs in practical applications.
Research on intelligent identification of floor water inrush path in deep coal seam mining based on A-Star algorithm
Authors: SUN Wenbin , SUN zhihui , LIU hongqiang , CHU yixin
Published: September 2024

With the increasing depth of coal seam mining, the coal mine production process is gradually facing the influence of high stress and high water pressure and other factors, so that the difficulty of identifying the path of floor water inrush is increasing, and the difficulty of predicting the occurrence of floor water inrush in coal mine is also increasing. In order to more accurately predict the risk of floor water inrush, the identification of floor water inrush path is studied. The indoor similar material simulation experiment is used to collect the changes of water pressure and stress data at the floor during the excavation of coal seam, and the coal seam floor is divided, graded and divided into nodes. The analytic hierarchy process is used to obtain the subjective weight of each zone in the first-level region divided by the floor.Secondly, the CRITI weight method is used to calculate the objective weight of each factor at each node in the secondary area divided by the bottom plate. Then, the weighted average method is used for comprehensive analysis, and the comprehensive weight of each node in the secondary area is obtained. The water inrush probability index of each node of the floor is obtained, and the floor water inrush prediction model is established. The obtained water inrush probability index is assigned to the model. The larger the value, the greater the possibility of water inrush. The A-Star algorithm is used for path planning, and the water inrush path of the floor during coal seam excavation is obtained.Through the visualization of similar material simulation experiment and the observation and monitoring of the formation and development trend of water inrush path in the actual process by the electrical equipment used in the experiment, compared with the path planned by A-Star algorithm, it is proved that this method is feasible and can be used in engineering practice. In view of the above research on the identification of water inrush path, this process is used as the basis of operation, and the corresponding identification system is developed. The water inrush process is reproduced through a visual interface to realize the intelligent identification of the water inrush path of the floor and guide the actual safety production of the mine.
FACT inhibitor CBL0137, administered in an optimized schedule, potentiates radiation therapy for glioblastoma by suppressing DNA damage repair
Authors: Barone Tara A. , Robinson Denisha L. , Qiu Jingxin , Gurova Katerina V. , Purmal Andrei A. , Gudkov Andrei V. , Plunkett Robert J.
Published: September 2024

Purpose
Standard-of-care for glioblastoma remains surgical debulking followed by temozolomide and radiation. However, many tumors become radio-resistant while radiation damages surrounding brain tissue. Novel therapies are needed to increase the effectiveness of radiation and reduce the required radiation dose. Drug candidate CBL0137 is efficacious against glioblastoma by inhibiting histone chaperone FACT, known to be involved in DNA damage repair. We investigated the combination of CBL0137 and radiation on glioblastoma.
Methods
In vitro, we combined CBL0137 with radiation on U87MG and A1207 glioblastoma cells using the clonogenic assay to evaluate the response to several treatment regimens, and the Fast Halo Assay to examine DNA repair. In vivo, we used the optimum combination treatment regimen to evaluate the response of orthotopic tumors in nude mice.
Results
In vitro, the combination of CBL0137 and radiation is superior to either alone and administering CBL0137 two hours prior to radiation, having the drug present during and for a prolonged period post-radiation, is an optimal schedule. CBL0137 inhibits DNA damage repair following radiation and affects the subcellular distribution of histone chaperone ATRX, a molecule involved in DNA repair. In vivo, one dose of CBL0137 is efficacious and the combination of CBL0137 with radiation increases median survival over either monotherapy.
Conclusions
CBL0137 is most effective with radiation for glioblastoma when present at the time of radiation, immediately after and for a prolonged period post-radiation, by inhibiting DNA repair caused by radiation. The combination leads to increased survival making it attractive as a dual therapy.
Integrating Transcriptomic Data with a Novel Drug Efficacy Prediction Model for TCM Active Compound Discovery
Authors: Li Yingcan , Shen Yu , Cai Yezi , Gao Jiahui , Huang Lei , Si Weinuo , Zhou Kai , Gao Shan , Luo Qichao
Published: September 2024

Identifying the active nature compounds remains a challenge for drug discovery, and new algorithms need to be developed to predict active ingredients from complex natural products. Here, we proposed Meta-DEP, a Meta-paths-based Drug Efficacy Prediction based on drug-protein-disease heterogeneity network, where Meta-paths contains all the shortest paths between drug targets and disease-related proteins in the network and drug efficacy is measured by a predictive score according to drug disease network proximity. Experiments show that Meta-DEP performs better than traditional network topology analysis on drug-disease interaction prediction task. Further investigations demonstrate that the key targets identified by Meta-DEP for drug efficacy are consistent with clinical pharmacological evidence. To prove that Meta-DEP can be used to discover active nature compounds, we apply it to predict the relationship between the monomeric components of traditional Chinese medicine included in the TCMSP database and diseases. Results indicate that Meta-DEP can accurately predict most of the drug-disease pairs included in the TCMSP database. In addition, biological experiments are directly used to demonstrate that Meta-DEP can mined active compound from traditional Chinese medicine with integrating disease transcriptomic data. Overall, the model developed in this study provides new impetus for driving the nature compound into innovative lead molecule. Code and data are available at https://github.com/t9lex/Meta-DEP.
A Risk-Prediction Model for Hepatorenal Syndrome in Patients with Liver Failure: A Retrospective Analysis
Authors: LIU HAO , LAN Yanmei , ZHANG Rongzhen , ZHANG Kan , Wang Minggang , Mao Dewen
Published: September 2024

Objectives
To identify the risk factors and develop a risk-prediction model for hepatorenal syndrome (HRS) in patients with liver failure (LF).
Methods
A retrospective case-control study involving 372 inpatients with LF admitted to The First Affiliated Hospital of Guangxi University of Chinese Medicine between July 2012 and July 2022 was performed. Univariate and multifactorial logistic stepwise regression analyses were employed to identify risk factors for HRS. A risk-prediction model was constructed, and its predictive value was evaluated using the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analyses.
Results
Combined ascites, combined spontaneous bacterial peritonitis, and high serum levels of gamma-glutamyl transpeptidase, uric acid, and cystatin C were independent risk factors for HRS. The areas under the ROC curve for the training and validation sets were 0.877 and 0.828, respectively. The logistic model demonstrated a good fit. In the decision curve analysis, the curves for both the training and validation sets were well-positioned away from the two extreme treatment strategies (all patients treated or untreated).
Conclusions
The risk-prediction model developed in this study for HRS in LF patients exhibits robust predictive capability, offering a valuable tool for timely clinical intervention and effective treatment of HRS.