bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tracking changes in CNCI: the complementarity of standard, collaboration and fractional CNCI in understanding and evaluating research performance
Authors: Potter Ross W. K. , Kovač Milovan , Adams Jonathan 
Published: May 2024

AbstractUsing a global set of ~ 300 institutions, standard, collaboration and fractional Category Normalised Citation Impact (CNCI) indicators are compared between 2009 and 2018 to demonstrate the complementarity of the three variants for research evaluation. Web of Science data show that Chinese institutions appear immune to the indicator used as CNCI changes, generally improvements, are similar for all three variants. Other regions tend to show greater increases in standard CNCI over collaboration CNCI, which in turn is greater than fractional CNCI; however, decreases in CNCI values, particularly in established research economies like North America and western Europe are not uncommon. These findings may highlight the differing extent to which the number of collaborating countries and institutions on papers affect each variant. Other factors affecting CNCI values may be citation practices and hiring of Highly Cited Researchers. Evaluating and comparing the performance of institutions is a main driver of policy, research and funding direction. Decision makers must understand all aspects of CNCI indicators, including the secondary factors illustrated here, by using a ‘profiles not metrics’ approach.
Adaptive Methods for Revenue Model Learning of a Slice Broker in the Presence of Adversaries
Authors: Khan Muhidul Islam , Nencioni Gianfranco 
Published: May 2024

AbstractIn the fifth-generation (5G) of mobile networks, Multi-Access Edge Computing (MEC) refers to the deployment of computing resources closer to the end-users for improved service delivery. In the context of 5G MEC, the slice broker plays a crucial role in managing the allocation of resources among the different network slices, which are logical networks on top of a shared infrastructure. The slice broker is a business entity that acts as an intermediary between the slice tenants and the infrastructure provider and is responsible for allocating resources (such as CPU, memory, and network bandwidth) required to set up the network. The slice broker must ensure that resources are allocated in a way that the revenue is maximized. In a dynamic environment, the slice broker must learn the revenue model adaptively and online. Adversaries can significantly reduce the revenue by misleading the system about the resources pretending to be selfish nodes, or creating noise. The slice broker should learn the revenue model in the presence of adversaries. We apply cooperative deep reinforcement learning with consensus mechanism and consensus deep learning to learn the revenue model adaptively. We also compare our proposed methods with the reference solution. Simulation results show that our proposed methods, especially the cooperative version, outperform the reference solution.
The influence of immobility on muscle loss in older people with frailty and fragility fractures
Authors: Lunt Eleanor K. , Gordon Adam L. , Greenhaff Paul L. , Gladman John F. R. 
Published: May 2024

AbstractThis longitudinal study aimed to assess muscle morphological and functional changes in older patients admitted with fragility fractures managed by immobilisation of the affected limb for at least 6 weeks. Patients aged ≥ 70 hospitalised with non-weight bearing limb fractures, and functionally limited to transfers only, were recruited. Handgrip (HGS) and knee extensor strength (KES), Vastus Lateralis muscle thickness (VLMT) and cross-sectional area at ultrasound (VLCSA) were measured in the non-injured limb at hospital admission, 1, 3 and 6 weeks later. Barthel Index, mobility aid use and residential status were recorded at baseline and 16 weeks. Longitudinal changes in muscle measurements were analysed using one-way repeated measures ANOVA. In a sub-study, female patients’ baseline measurements were compared to 11 healthy, female, non-frail, non-hospitalised control volunteers (HC) with comparable BMI, aged ≥ 70, using independent t tests. Fifty patients (44 female) participated. Neither muscle strength nor muscle size changed over a 6-week immobilisation. Dependency increased significantly from pre-fracture to 16 weeks. At baseline, the patient subgroup was weaker (HGS 9.2 ± 4.7 kg vs. 19.9 ± 5.8 kg, p < 0.001; KES 4.5 ± 1.5 kg vs. 7.8 ± 1.3 kg, p < 0.001) and had lower muscle size (VLMT 1.38 ± 0.47 cm vs. 1.75 ± 0.30 cm, p = 0.02; VLCSA 8.92 ± 4.37 cm2 vs. 13.35 ± 3.97 cm2, p = 0.005) than HC. The associations with lower muscle strength measures but not muscle size remained statistically significant after adjustment for age. Patients with non-weight bearing fractures were weaker than HC even after accounting for age differences. Although functional dependency increased after fracture, this was not related to muscle mass or strength loss, which remained unchanged.
Abnormal EEG microstates in Alzheimer’s disease: predictors of β-amyloid deposition degree and disease classification
Authors: Yan Yibing , Gao Manman , Geng Zhi , Wu Yue , Xiao Guixian , Wang Lu , Pang Xuerui , Yang Chaoyi , Zhou Shanshan , Li Hongru , Hu Panpan , Wu Xingqi , Wang Kai 
Published: May 2024

AbstractElectroencephalography (EEG) microstates are used to study cognitive processes and brain disease-related changes. However, dysfunctional patterns of microstate dynamics in Alzheimer's disease (AD) remain uncertain. To investigate microstate changes in AD using EEG and assess their association with cognitive function and pathological changes in cerebrospinal fluid (CSF). We enrolled 56 patients with AD and 38 age- and sex-matched healthy controls (HC). All participants underwent various neuropsychological assessments and resting-state EEG recordings. Patients with AD also underwent CSF examinations to assess biomarkers related to the disease. Stepwise regression was used to analyze the relationship between changes in microstate patterns and CSF biomarkers. Receiver operating characteristics analysis was used to assess the potential of these microstate patterns as diagnostic predictors for AD. Compared with HC, patients with AD exhibited longer durations of microstates C and D, along with a decreased occurrence of microstate B. These microstate pattern changes were associated with Stroop Color Word Test and Activities of Daily Living scale scores (all P < 0.05). Mean duration, occurrences of microstate B, and mean occurrence were correlated with CSF Aβ 1–42 levels, while duration of microstate C was correlated with CSF Aβ 1–40 levels in AD (all P < 0.05). EEG microstates are used to predict AD classification with moderate accuracy. Changes in EEG microstate patterns in patients with AD correlate with cognition and disease severity, relate to Aβ deposition, and may be useful predictors for disease classification.
Maximum tumor diameter and renal function can predict the declining surface dose rate after 177Lu-Dotatate: preliminary results of single institution in Japan
Authors: Ono Takashi , Ichikawa Mayumi , Tanada Takeo , Kanezawa Chika , Sato Hiraku 
Published: May 2024

Abstract
Purpose
This study aimed to develop a user-friendly prediction formula for dose rate adjustment after initial 177Lu-Dotatate therapy from a prospective observational study of patients.

Materials and methods
This study included consenting patients in a prospective observational study who underwent their first treatment in four cycles of 177Lu-Dotatate treatment at our hospital between January 2022 and February 2024. All patients received 7.4 GBq of 177Lu-Dotatate. The prediction formula was derived from the regression analysis of tumor-related factors and renal function. Creatinine clearance was estimated using the Cockcroft–Gault equation in this study for renal function.

Results
Among the 13 patients (seven males, six females, median age: 59 years), logarithmically transformed total tumor volume (cc) and maximum tumor diameter (mm) of primary tumors or metastases showed strong correlations (p < 0.001, R2 = 0.897). As such, the maximum tumor diameter was used as the tumor parameter in the prediction formula. Additionally, maximum tumor diameter and creatinine clearance showed strong (p < 0.001, R2 = 0.768) and moderate (p = 0.013, R2 = 445) correlations, respectively, with the ratio of the dose rate 5.5-h post-administration to the dose rate immediately post-administration (%) at 1 m from the body surface. The resulting formula, 51.4 + 0.360 × maximum tumor diameter (mm) − 0.212 × creatinine clearance (ml/min), demonstrated an extremely strong correlation (p < 0.001, R2 = 0.937).

Conclusion
The present study showed that the maximum tumor diameter and renal function affected the declining the dose rate of patients surface after 177Lu-Dotatate, which can inform post-administration dose rate management and potentially facilitate outpatient treatment in Japan.
Effectiveness and safety of SR-ENS-600endoscopic surgical system in benign and malignant gynecological diseases: a prospective, multicenter, clinical trial with 63 cases
Authors: Chang Ren , Ping Duan , Yang Shen , Yongjun Wang , Wei Zhang , Ying Zheng , Xingming Li , Kexin Zhang , Dawei Sun 
Published: May 2024

AbstractSingle-port laparoscopy has gained more attention, but inherent technical challenges hinder its wider use. To overcome the disadvantage of traditional single-port surgery, robotic laparoendoscopic single-site surgery system was designed and clinically utilized. This multi-center single-arm trial was aimed to present the clinical outcomes of the SHURUI robotic endoscopic single-site surgery system. 63 women with ovary cysts, myoma, cervical epithelial neoplasm, or endometrial carcinoma were recruited at 6 academic medical centers in different districts of China. The trial was registered on September 5, 2023, with the register number: ChiCTR2300075431, retrospectively registered. Patients underwent robotic LESS surgery with the SHURUI endoscopic surgical system from January 17 to May 26, 2023. Demographic information, perioperative parameters, complications, scar healing, and operator satisfaction scores were recorded. Patients were followed up for 30 ± 4 days. Average operative time and estimated blood loss were 157.03 ± 75.24 min and 63.86 ± 98.33 ml, respectively, for all surgeries. Average anal exhaust time and hospitalization stay were 30.99 ± 14.25 h and 3.63 ± 1.59 days, respectively. Patients’ postoperative rehabilitation assessment showed satisfactory results on the day of discharge and 30 ± 4 days after surgery. The surgery achieved good cosmetic benefits and was surgeon friendly. There were no conversions to alternative surgical modalities, complications, or readmissions. The SHURUI endoscopic surgical system showed both the technical feasibility and safety of this surgical modality for gynecologic patients. Further randomized studies comparing this modality with traditional LESS surgery are suggested.
Metaverse: A real change or just another research area?
Authors: Peukert Christian , Qahri-Saremi Hamed , Schultze Ulrike , Thatcher Jason B. , Cheung Christy M. K. , Frenzel-Piasentin Adeline , Greve Maike , Matt Christian , Trenz Manuel , Turel Ofir 
Published: May 2024

AbstractThe Metaverse, an evolving concept that fuses physical reality with digital virtuality, offers a dynamic environment for exploration. This paper reports the panel discussion on the Metaverse and its potential implications for individuals and research. This discussion was held at the Digitization of the Individual (DOTI) workshop at the International Conference on Information Systems in December 2022. Four scientists who have researched virtual reality, immersiveness, and corresponding user behavior were invited to the panel discussion. The panelists offered their perspectives on the unique characteristics of the Metaverse, how it differs from earlier digital worlds, and the implications that the Metaverse will bring for individuals. This paper provides an introduction to the emerging phenomenon of “Metaverse” and summarizes the discussion and expert perspectives on the topic. Furthermore, this paper links the discussion to the ongoing discourse in the literature, setting the stage for further investigations by providing explicit research avenues and questions.
Investigation of long-term pressure on primary packaging materials and a biologic drug product for injection with a novel autoinjector concept
Authors: Primavessy Daniel , Piening Max , Nightingale Adam , Jameson Heather , Latham Matthew , Alexander James , Büttner Sarah , Pfrang Juergen , Zapf Andreas , Oakley Tom , Brutsche Andreas , Saaler-Reinhardt Sigrid 
Published: May 2024

AbstractGerresheimer and Midas Pharma have developed a novel cartridge-based autoinjector concept in which the cartridge as primary packaging is under constant pressure. In this article standard cartridge primary packaging material of five different companies were analyzed for their behavior under long-term pressure. Materials of 3 glass manufacturers and 2 manufacturers for cartridge rubber parts were considered. Within the test program septum stability, septum piercing, glide forces (GF), break-loose forces (BLF), glass breaking as well as a regulatory approved and marketed antibody drug product under pressure were subject to analysis. Under pressure the cartridge septum bulge grew within the first 14 days and then relevantly slowed down. An accelerated study in different atmospheric conditions allowed to extrapolate values for 24 months storage, not showing any signs of decay or problematic septum bulge increase. Pierce forces were in normal ranges and septum rupture could not be observed at the end of 42 days of pressurization. GF and BLF were within acceptable ranges and changes due to pressure could not be observed. Lowest glass breaking pressures at 4922 kPa turned out to be at least 3.5 times higher than pressures used in the autoinjector concept. Degradation of the Adalimumab antibody drug product due to pressure or device fluid pathway could not be observed with size exclusion chromatography, electrophoresis or sub-visible particles tested as a release testing in a GMP setting.
Graphical Abstract
Sex and disease severity-based analysis of steroid hormones in ME/CFS
Authors: Pipper Cornelia , Bliem Linda , León Luis E. , Mennickent Daniela , Bodner Claudia , Guzmán‑Gutiérrez Enrique , Stingl Michael , Untersmayr Eva , Wagner Bernhard , Bertinat Romina , Sepúlveda Nuno , Westermeier Francisco 
Published: May 2024

Abstract
Purpose
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating disease characterized by persistent fatigue and decreased daily activity following physical and/or cognitive exertion. While ME/CFS affects both sexes, there is a higher prevalence in women. However, studies evaluating this sex-related bias are limited.

Methods
Circulating steroid hormones, including mineralocorticoids (aldosterone), glucocorticoids (cortisol, corticosterone, 11-deoxycortisol, cortisone), androgens (androstenedione, testosterone), and progestins (progesterone, 17α-hydroxyprogesterone), were measured in plasma samples using ultra-high performance liquid chromatography–tandem mass spectrometry (UHPLC–MS/MS). Samples were obtained from mild/moderate (ME/CFSmm; females, n=20; males, n=8), severely affected patients (ME/CFSsa; females, n=24; males, n=6), and healthy controls (HC, females, n=12; males, n=17).

Results
After correction for multiple testing, we observed that circulating levels of 11-deoxycortisol, 17α-hydroxyprogesterone in females, and progesterone in males were significantly different between HC, ME/CFSmm, and ME/CFSsa. Comparing two independent groups, we found that female ME/CFSsa had higher levels of 11-deoxycortisol (vs. HC and ME/CFSmm) and 17α-hydroxyprogesterone (vs. HC). In addition, female ME/CFSmm showed a significant increase in progesterone levels compared to HC. In contrast, our study found that male ME/CFSmm had lower circulating levels of cortisol and corticosterone, while progesterone levels were elevated compared to HC. In addition to these univariate analyses, our correlational and multivariate approaches identified differential associations between our study groups. Also, using two-component partial least squares discriminant analysis (PLS-DA), we were able to discriminate ME/CFS from HC with an accuracy of 0.712 and 0.846 for females and males, respectively.

Conclusion
Our findings suggest the potential value of including steroid hormones in future studies aimed at improving stratification in ME/CFS. Additionally, our results provide new perspectives to explore the clinical relevance of these differences within specific patient subgroups.

Graphical abstract
Making a U-turn on the Purfleet Interchange: Stone Tool Technology in Marine Isotope Stage 9 Britain and the Emergence of the Middle Palaeolithic in Europe
Authors: White Mark , Rawlinson Aaron , Foulds Freddie , Dale Luke , Davis Rob , Bridgland David , Shipton Ceri , Ashton Nick 
Published: May 2024

Abstract
This paper re-examines earlier Palaeolithic core technology from British sites assigned to MIS 11, 9, and 7 using primarily a châine opératoire approach, with the objective of better understanding the earliest occurrence and distribution of Levallois and other prepared-core technologies across the Old World. Contrary to previous interpretations (White and Ashton in Current Anthropology, 44: 598–609, 2003), we find no evidence for a true Levallois concept in MIS 11 or MIS 9 in Britain. Cores previously described as ‘simple prepared cores’ or ‘proto-Levallois’ cores show neither evidence of core management nor predetermination of the resulting flakes. They can instead be explained as the coincidental result of a simpler technological scheme aimed at exploiting the largest surface area of a core, thereby maximising the size of the flakes produced from it. This may be a more widespread practice, or a local solution derived from existing principles. Levallois appears fully formed in Britain during terminal MIS 8/initial MIS 7. Consequently, Britain does not provide evidence for an in situ evolution of Levallois, rather we argue it was introduced by new settlers after a glacial abandonment: the solution to the emergence and significance of Levallois lies in southern Europe, the Levant and Africa.
Average Degree of the Essential Variety
Authors: Breiding Paul , Fairchild Samantha , Santarsiero Pierpaola , Shehu Elima 
Published: May 2024

AbstractThe essential variety is an algebraic subvariety of dimension 5 in real projective space $$\mathbb R\mathrm P^{8}$$

R

P
8

which encodes the relative pose of two calibrated pinhole cameras. The 5-point algorithm in computer vision computes the real points in the intersection of the essential variety with a linear space of codimension 5. The degree of the essential variety is 10, so this intersection consists of 10 complex points in general. We compute the expected number of real intersection points when the linear space is random. We focus on two probability distributions for linear spaces. The first distribution is invariant under the action of the orthogonal group $$\textrm{O}(9)$$

O
(
9
)

acting on linear spaces in $$\mathbb R\mathrm P^{8}$$

R

P
8

. In this case, the expected number of real intersection points is equal to 4. The second distribution is motivated from computer vision and is defined by choosing 5 point correspondences in the image planes $$\mathbb R\mathrm P^2\times \mathbb R\mathrm P^2$$

R

P
2

×
R

P
2

uniformly at random. A Monte Carlo computation suggests that with high probability the expected value lies in the interval $$(3.95 - 0.05,\ 3.95 + 0.05)$$

(
3.95
-
0.05
,

3.95
+
0.05
)

.
MicroRNA (miRNA) profiling of maize genotypes with differential response to Aspergillus flavus implies zma-miR156–squamosa promoter binding protein (SBP) and zma-miR398/zma-miR394–F -box combinations involved in resistance mechanisms
Authors: Gandham Prasad , Rajasekaran Kanniah , Sickler Christine , Mohan Harikrishnan , Gilbert Matthew , Baisakh Niranjan 
Published: May 2024

AbstractMaize (Zea mays), a major food crop worldwide, is susceptible to infection by the saprophytic fungusAspergillus flavusthat can produce the carcinogenic metabolite aflatoxin (AF) especially under climate change induced abiotic stressors that favor mold growth. Several studies have used “-omics” approaches to identify genetic elements with potential roles in AF resistance, but there is a lack of research identifying the involvement of small RNAs such as microRNAs (miRNAs) in maize-A. flavusinteraction. In this study, we compared the miRNA profiles of three maize lines (resistant TZAR102, moderately resistant MI82, and susceptible Va35) at 8 h, 3 d, and 7 d afterA. flavusinfection to investigate possible regulatory antifungal role of miRNAs. A total of 316 miRNAs (275 known and 41 putative novel) belonging to 115 miRNA families were identified in response to the fungal infection across all three maize lines. Eighty-two unique miRNAs were significantly differentially expressed with 39 miRNAs exhibiting temporal differential regulation irrespective of the maize genotype, which targeted 544 genes (mRNAs) involved in diverse molecular functions. The two most notable biological processes involved in plant immunity, namely cellular responses to oxidative stress (GO:00345990) and reactive oxygen species (GO:0034614) were significantly enriched in the resistant line TZAR102. Coexpression network analysis identified 34 hubs of miRNA-mRNA pairs where nine hubs had a node in the module connected to their target gene with potentially important roles in resistance/susceptible response of maize toA. flavus.The miRNA hubs in resistance modules (TZAR102 and MI82) were mostly connected to transcription factors and protein kinases. Specifically, the module of miRNA zma-miR156b-nb – squamosa promoter binding protein (SBP), zma-miR398a-3p – SKIP5, and zma-miR394a-5p – F-box protein 6 combinations in the resistance-associated modules were considered important candidates for future functional studies.
Ancient South America
Authors: Bruhns Karen Olsen 
Published: May 2024

Ancient South America, 2nd edition features the full panorama of the South American past from the first inhabitants to the European invasions Isolated for all of prehistory and much of history, the continent witnessed the rise of cultures and advanced civilizations rivalling those of Europe, Asia, and Africa. Independently of developments elsewhere, South American peoples invented agriculture, domesticated animals, and created pottery, elaborate architecture, and the arts of working metals. Tribes, chiefdoms, and immense conquest states rose, flourished, and disappeared, leaving only their ruined monuments and broken artifacts as testimonials to past greatness. This new edition is completely revised and updated to reflect archaeological discoveries and insights made in the past three decades. Incorporating new findings on northern and eastern lowlands, and discussions of the first civilizations, it also examines the first inhabitants of Brazil and Patagonia as well as the Andes. Accessibly written and abundantly illustration, the volume also includes chronological charts and new examples.