bluuebunny/crossref_metadata_2025_split huggingface dataset:
A protocol for assessing bias and robustness of social network metrics using GPS based radio-telemetry data
Authors: Kaur Prabhleen , Ciuti Simone , Ossi Federico , Cagnacci Francesca , Morellet Nicolas , Loison Anne , Atmeh Kamal , McLoughlin Philip , Reinking Adele K. , Beck Jeffrey L. , Ortega Anna C. , Kauffman Matthew , Boyce Mark S. , Haigh Amy , David Anna , Griffin Laura L. , Conteddu Kimberly , Faull Jane , Salter-Townshend Michael 
Published: August 2024

Abstract
Background
Social network analysis of animal societies allows scientists to test hypotheses about social evolution, behaviour, and dynamic processes. However, the accuracy of estimated metrics depends on data characteristics like sample proportion, sample size, and frequency. A protocol is needed to assess for bias and robustness of social network metrics estimated for the animal populations especially when a limited number of individuals are monitored.

Methods
We used GPS telemetry datasets of five ungulate species to combine known social network approaches with novel ones into a comprehensive five-step protocol. To quantify the bias and uncertainty in the network metrics obtained from a partial population, we presented novel statistical methods which are particularly suited for autocorrelated data, such as telemetry relocations. The protocol was validated using a sixth species, the fallow deer, with a known population size where $$\sim 85\%$$

∼
85
%

of the individuals have been directly monitored.

Results
Through the protocol, we demonstrated how pre-network data permutations allow researchers to assess non-random aspects of interactions within a population. The protocol assesses bias in global network metrics, obtains confidence intervals, and quantifies uncertainty of global and node-level network metrics based on the number of nodes in the network. We found that global network metrics like density remained robust even with a lowered sample size, while local network metrics like eigenvector centrality were unreliable for four of the species. The fallow deer network showed low uncertainty and bias even at lower sampling proportions, indicating the importance of a thoroughly sampled population while demonstrating the accuracy of our evaluation methods for smaller samples.

Conclusions
The protocol allows researchers to analyse GPS-based radio-telemetry or other data to determine the reliability of social network metrics. The estimates enable the statistical comparison of networks under different conditions, such as analysing daily and seasonal changes in the density of a network. The methods can also guide methodological decisions in animal social network research, such as sampling design and allow more accurate ecological inferences from the available data. The R package aniSNA enables researchers to implement this workflow on their dataset, generating reliable inferences and guiding methodological decisions.
Study on the evolution of mechanical properties of hot dry rocks after supercritical CO2 injection
Authors: Li Pan , Zhang Hongxue , Wu Yu 
Published: August 2024

AbstractCharacterizing the evolution of mechanical properties of hot dry rock (HDR) after supercritical CO2 (CO2(sc)) injection is crucial for assessing the heat extraction rate and reservoir security of CO2 based enhanced geothermal systems. This study designed the experiments of triaxial seepage and mechanical properties considering no CO2(sc) injection, CO2(sc) injection, and alternating injection of water-CO2(sc) (AIWC) in granite at 150–300 ℃. The experiments can reveal the mechanical properties of HDR in single-phase CO2 zone, CO2-water two-phase zone and dissolved CO2 liquid phase zone in HDR reservoir. The results indicate that the failure mode of the rock samples primarily exhibits sudden instability after no CO2(sc) injection and AIWC, whereas it predominantly manifests progressive instability after CO2(sc) injection. Compared with 25 ℃, the uniaxial compressive strength (UCS) after no CO2(sc) injection at 150–300 ℃ decreased by 13.86%–32.92%. After CO2(sc) injection, the UCS decreased by 40.79%–59.60%. After AIWC, the UCS decreased by 27.74–40.48%. This shows that the strength of rock mass in the single-phase CO2 zone is lower than that in the other two zones, and this weakening phenomenon increases with the increase of temperature difference. At the same temperature, the elasticity modulus after AIWC was greater than that after no CO2(sc) injection and CO2(sc) injection. With no CO2(sc) injection, when the temperature was increased to 200 ℃ and 300 ℃, intergranular cracks and transgranular appeared respectively. After AIWC, mineral crystals such as calcite were precipitated on the surfaces of the connected large cracks, accompanied by kaolinite clay minerals. This increases the frictional contact of the mineral particles and enhances the stability of the HDR reservoir.
Chemotherapy-induced peripheral neuropathy biomarkers: current updates, challenges, and potentials
Authors: Soejitno Andreas , Widyadharma I Putu Eka 
Published: August 2024

AbstractChemotherapy-induced peripheral neuropathy (CIPN) is a debilitating condition of peripheral nerve because of chemotherapeutic agent exposure among cancer patients. Despite its relatively high prevalence, to date, there has been no specific or standardized diagnostic criteria for CIPN and establishing diagnosis can be burdensome with significant time and efforts. Therefore, there is a need for an accurate biomarker to aid in early and objective diagnosis of CIPN. Based on the relevant pathogenesis of CIPN, herein we discussed several potential biomarker candidates to be incorporated in the diagnosis of CIPN, ranging from bodily fluid-based biomarker such as neurotrophic factors and neurofilaments, genetic biomarker such as microRNAs, electrophysiologic biomarker such as quantitative sensory testing, and imaging biomarkers such as high-resolution ultrasound and magnetic resonance neurography. We also discussed the strengths and weaknesses of each biomarker type, and future directions to accelerate its translation into routine use in clinical practice.
Shaping the tripartite symbiosis: are termite microbiome functions directed by the environmentally acquired fungal cultivar?
Authors: Murphy Robert M. , Sinotte Veronica M. , Cuesta-Maté Ana , Renelies-Hamilton Justinn , Lenz-Strube Mikael , Poulsen Michael 
Published: August 2024

AbstractMicrobiome assembly critically impacts the ability of hosts to access beneficial symbiont functions. Fungus-farming termites have co-evolved with a fungal cultivar as a primary food source and complex gut microbiomes, which collectively perform complementary degradation of plant biomass. A large subset of the bacterial community residing within termite guts are inherited (vertically transmitted) from parental colonies, while the fungal symbiont is, in most termite species, acquired from the environment (horizontally transmitted). It has remained unknown how the gut microbiota sustains incipient colonies prior to the acquisition of the fungal cultivar, and how, if at all, bacterial contributions are modulated by fungus garden establishment. Here, we test the latter by determining the composition and predicted functions of the gut microbiome using metabarcoding and shotgun metagenomics, respectively. We focus our functional predictions on bacterial carbohydrate-active enzyme and nitrogen cycling genes and verify compositional patterns of the former through enzyme activity assays. Our findings reveal that the vast majority of microbial functions are encoded in the inherited microbiome, and that the establishment of fungal gardens incurs only minor modulations of predicted bacterial capacities for carbohydrate and nitrogen metabolism. While we cannot rule out that other symbiont functions are gained post-fungus garden establishment, our findings suggest that fungus-farming termite hosts are equipped with a near-complete set of gut microbiome functions at the earliest stages of colony life. This inherited, incipient bacterial microbiome likely contributes to the high extent of functional specificity and coevolution observed between termite hosts, gut microbiomes, and the fungal cultivar.
Prognosis and treatment in acute myeloid leukemia: a comprehensive review
Authors: Debnath Ankita , Nath Sukanta 
Published: August 2024

AbstractAcute myeloid leukemia (AML) is a heterogeneous disorder that is characterized by clonal expansion of immature "blast cells" in the bone marrow and peripheral circulation, resulting in bone marrow failure and inefficient erythropoiesis. The identification of numerous recurrent genetic mutations such as NPM1, CEBPA, and FLT3-ITD has stratified AML into favorable, intermediate, and adverse-risk groups, respectively, along with a cytogenetic profile that carries a considerably different prognosis among these groups. For post-induction treatment, cytogenetics and genetic mutation testing continue to be vital prognostic tools. Despite advancements, including an increased understanding of biology and new drug targets, the cornerstone of treatment still consists of a combination of cytarabine- and anthracycline-based regimens. The majority of patients eventually relapse and die of the disease, especially the elderly population. This review describes the prognosis of different molecular markers and the major recent advancements in the treatment of AML.
Vigor of bi-parametric MRI with MR segmentation unity in valuation of UB neoplasm mural invasion
Authors: Ragaee Sara Mahmoud , Tony Fatma Rabee , gawad Ehab Ali Abdel , Sharqawy Shymaa Shehata , Ghany Moustafa Magdy Abdel , Beshreda Gerges Malak 
Published: August 2024

Abstract
Background
The urinary bladder neoplasm is considered the second most frequent kind of neoplasm globally, after prostate cancer. Bladder neoplasm clinical management strategies and prognosis depend on the extent of loco-regional disease. MRI is increasingly being employed for preoperative, local staging of BC. The aim of this study was to expose the mastery of bi-parametric MRI (MRDWI and T2WI conjunction) with signal intensity-based MR segmentation in evaluation of UB neoplasm mural invasion if unaccompanied by contrast-enhanced MRI with special concern to Vesical Imaging Reporting and Data System (VIRADS) score taking the histopathological diagnosis as a reference.

Results
This prospective study was conducted on 99 patients (with 100 UB lesions), who were referred from the urology department with bladder neoplasm suspicion. The mean age of the patients was 64.8 years. About 66.6% of the cases were smokers. The most common pathology of the UB neoplastic lesions was urothelial carcinoma. ADC in muscle-invasive bladder cancer (MIBC) was significantly lower than in non-invasive bladder cancer (NMIBC), with the minimum to maximum value of the ADC in all cases about 0.01–2.0. Also, we have done DWI at different b values, where b 1000 turned out to be the most accurate in detection of muscle invasion. Sensitivity, specificity, PPV, NPV and accuracy were calculated for T2WI only VIRADS, DWI only VIRADS, bi-parametric MR (T2WI and DWI)-based VIRADS, signal intensity-based MR segmentation VIRADS and for bi-parametric and MR segmentation conjunction-based VIRADS. The diagnostic performance for the combination of the bi-parametric MRI and signal intensity-based MR segmentations attained the highest values in sensitivity, specificity, PPV and NPV as well as accuracy.

Conclusions
Bi-parametric MRI (MRDWI with T2WI) and signal intensity MR segmentation conjunction have proven to be efficacious in accurately determining the UB neoplasm mural invasion allowing for the dispensability of CE-MRI in the event of contrast contraindications, unavailability or even its high cost.
Pre-implementation planning for a new personalised, dementia post-diagnostic support intervention: exploring the perspective of professional stakeholders
Authors: Dar Ayesha , Budgett Jessica , Zabihi Sedigheh , Whitfield Ellenyd , Lang Iain , Rapaport Penny , Heath Bronte , Ogden Margaret , Phillips Rosemary , Burton Alexandra , Butler Laurie , Wyman Danielle , Hoe Juanita , Manthorpe Jill , Morgan-Trimmer Sarah , Koutsoubelis Freya , Cooper Claudia 
Published: August 2024

Background
Only a third of people with dementia receive a diagnosis and post-diagnostic support. An eight session, manualised, modular post-diagnostic support system (New Interventions for Independence in Dementia Study (NIDUS) – family), delivered remotely by non-clinical facilitators is the first scalable intervention to improve personalised goal attainment for people with dementia. It could significantly improve care quality.

Aims
We aimed to explore system readiness for NIDUS–family, a scalable, personalised post-diagnostic support intervention.

Method
We conducted semi-structured interviews with professionals from dementia care services; the Consolidated Framework for Implementation Research guided interviews and their thematic analysis.

Results
From 2022 to 2023, we interviewed a purposive sample of 21 professionals from seven English National Health Service, health and social care services. We identified three themes: (1) potential value of a personalised intervention – interviewees perceived the capacity for choice and supporting person-centred care as relative advantages over existing resources; (2) compatibility and deliverability with existing systems – the NIDUS–family intervention model was perceived as compatible with service goals and clients’ needs, but current service infrastructures, financing and commissioning briefs constraining resources to those at greatest need were seen as barriers to providing universal, post-diagnostic care; (3) fit with current workforce skills – the intervention model aligned well with staff development plans; delivery by non-clinically qualified staff was considered an advantage over current care options.

Conclusions
Translating evidence for scalable and effective post-diagnostic care into practice will support national policies to widen access to support and upskill support workers, but requires a greater focus on prevention in commissioning briefs and resource planning.
Advancing Care Team Adoption of Electronic Health Record Systems for Cancer Symptom Management: Findings From a Hybrid Type II, Cluster-Randomized, Stepped-Wedge Trial
Authors: Austin Jessica D. , Finney Rutten Lila J. , Fischer Kristin , Ridgeway Jennifer , Minteer Sarah , Griffin Joan M. , Pachman Deirdre R. , Ruddy Kathryn J. , Cheville Andrea 
Published: August 2024

PURPOSE
The enhanced, electronic health record (EHR)–facilitated cancer symptom control (E2C2) trial is a cohort cluster-randomized, stepped-wedge, hybrid type II trial that leverages EHR systems to facilitate a collaborative care model (CCM) approach with the goal of improving cancer symptom management. Understanding factors that influence care team adoption of EHR systems remains a critical understudied area of research. This study examines how oncology care teams' perceptions regarding the feasibility, acceptability, and appropriateness of E2C2 EHR systems preimplementation were associated with adoption 3 months after implementation and characterizes differences in adoption by individual- and system-level factors.

METHODS
Care team members completed an electronic survey before and 3 months after implementation of E2C2 for their respective sequence. Adoption was defined as frequency of use to statements aligned with care team–directed EHR systems designed to facilitate CCM approaches. Chi-square tests assessed differences in adoption while logistic regression models estimated associations between baseline mean scores of acceptability, feasibility, and appropriateness on care team adoption at 3 months.

RESULTS

Results from 94 care team members (37.2% oncologists, 72.6% female, 55.3% in their role for 6+ years) found that adoption rates ranged from 48.9% to 71.7%, with significant differences observed by location (community-based health care systems
v
tertiary medical center) and professional role. Adjusting for professional role, care team members reporting higher levels of perceived acceptability and appropriateness at baseline had greater odds of adopting EHR systems at 3 months.

CONCLUSION
EHR systems perceived as acceptable and appropriate are more likely to be adopted by oncology care teams in our sample. Future implementation efforts should consider tailored strategies to facilitate adoption of EHR systems designed to promote CCM-based approaches to improve cancer symptom management.
A Changing Representation: “Personal Writing” in Artistic Intervention in Chinese Rural Communities
Authors: Li Danzhou 
Published: August 2024

Abstract
As socially engaged art has played a vibrant role in responding to the crisis of the postmodernist art regime, the current post-Occupy condition has manifested itself in artistic interventions in rural China. In contrast to social writing, which encompasses street art, designers going to the countryside, and industrial empowerment to construct “good cultural governance” or “good cultural taste,” the term personal writing as used here describes a type of avant-garde intervention that has sparked interest in vernacular communities. It provides a socially minded critique of art production as bifurcated from the remaking of everyday social relations and subjectivities, political and cultural possibilities, and the rural Chinese future. Grounded in a contextual analysis of the social turn in Chinese contemporary art and the lingering “rural problem” under post-socialism, this article takes artist Mao Chenyu's Paddy Film project as an example of personal writing and proposes this artist's activisms at Dongting Lake as a specific intervening field, visual ethnography as a method, paddy rice as a distinctive “thing,” and archival practices as a deconstructive pathway that together have promoted the emergence of a resistance narrative in artistic intervention in Chinese rural communities.
Development and structure of the discipline “Applied chemistry in medicine” (elective course) at the school of medicine
Authors: Grekova A. , Burdina Ia. , Gridina I. , Shyrykalova A. , Reda Abbassi , Kolomiiets P. 
Published: August 2024

Along with teaching the natural science and medical principles, it is the author's proposal to create a new subject for electives, “How Applied Chemistry Helps in Medication” to see education level of medical application in higher education students within the Faculty of Medicine. This elective tries to amalgamate two different topics involving both chemistry and medicine. Besides this, it places serious emphasis on the importance of public health within the context of medical practice, of the significant role chemical principles may play in the modern health care system. Students have an opportunity to investigate subjects like environmental toxicology, pharmaceutical chemistry, and chemical risk assessment in which they can perceive the chemistry’s face with the public health field. The knowledge about disease prevention strategies, health promotion and community wellness obtained as a result can enhance the skillset students need to work towards evidence-based approaches in disease prevention. The course is designed as a 3.0 credits ECTS specified by the regulatory requirements.
Thematic subjects get covered and include chemical principles, toxicology, pharmaceutical chemistry, environmental toxicology, and chemical risk assessment. Sessions are designed to provide a complete picture of the domain and the methodological toolkit, while at the same time they are interactive and practical by applying theoretical concepts to real-life situations. Introduce the development of problem-solving and critical thinking as one of the learning objectives.
All-optical generation of full-range symmetry-tunable triangular-shaped pulses via wavelength multiplexing
Authors: Yin Li , Yang Shuna , Yang Xinghua , Yao Yuanyuan , Yang Bo , Chi Hao 
Published: August 2024

A novel, to the best of our knowledge, all-optical approach for generating full-range symmetry-tunable triangular-shaped pulses through wavelength multiplexing is proposed and experimentally demonstrated. Two light-waves with a specified wavelength interval are injected in parallel into two commercial push–pull Mach–Zehnder modulators (MZMs) to carry the baseband radio frequency input. A tunable optical delay line (ODL) followed by one MZM is utilized to introduce the desired phase shift. By multiplexing the modulated signals carried on two wavelengths, triangular-shaped pulses can be achieved by the opto-electronic conversion. In this approach, by simply adjusting the DC bias voltages and the delay time offered by ODL, the triangular-shaped pulse with any self-defined symmetrical coefficient can be obtained. A complete theoretical analysis on the operation principle is presented and verified. The triangular-shaped pulses with full-range tunable symmetrical coefficients at the repetition rate of 5 GHz are successfully generated. This approach features all-optical architecture, ultra-wide system bandwidth, full-range tunable symmetry (0%–100%) and excellent reconfigurability, which are highly desired for the high-performance triangular-shaped pulse generator.
Realizing submeter spatial resolution for Raman distributed fiber-optic sensing using a chaotic asymmetric paired-pulse correlation-enhanced scheme
Authors: Fan Bowen , Li Jian , Cheng Zijia , Xue Xiaohui , Zhang Mingjiang 
Published: August 2024

The sensing spatial resolution and signal-to-noise ratio (SNR) of Raman distributed optical fiber sensors are limited by the pulse width and weak Raman scattering signals. Notably, the sensing spatial resolution cannot exceed the order of meters at several kilometers sensing distances. To break through this physical bottleneck, a novel, to our knowledge, Raman scattering model based on paired-pulse sensing is constructed. The fundamental origins of the observed limited spatial resolution of conventional schemes are analyzed, and a chaotic asymmetric paired-pulse correlation-enhanced scheme for Raman distributed fiber-optic sensing is proposed and experimentally demonstrated. The proposed scheme uses a chaotic asymmetric paired-pulse as the sensing signal and extracts the light intensity information of each data point of the sensing fiber, which carries the random undulation characteristics of chaotic time series, based on the time-domain differential reconstruction method. This scheme overcomes the pulse width limitation of spatial resolution via correlation and demodulation, enhances the correlation characteristics between the temperature-modulated Raman scattered light field and detection signal, and improves the SNR. Finally, a sensing performance of 10 km, a spatial resolution of 30 cm, and an SNR of 6.67 dB are realized in the experiment. This scheme provides a new research idea for a high-performance Raman distributed optical fiber sensing system.