bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical Ocular Exposure Extrapolation for Ophthalmic Solutions Using PBPK Modeling and Simulation
Authors: Le Merdy Maxime , AlQaraghuli Farah , Tan Ming-Liang , Walenga Ross , Babiskin Andrew , Zhao Liang , Lukacova Viera 
Published: September 2022

Abstract
Background
The development of generic ophthalmic drug products is challenging due to the complexity of the ocular system, and a lack of sensitive testing to evaluate the interplay of physiology with ophthalmic formulations. While measurements of drug concentration at the site of action in humans are typically sparse, these measurements are more easily obtained in rabbits. The purpose of this study is to demonstrate the utility of an ocular physiologically based pharmacokinetic (PBPK) model for translation of ocular exposure from rabbit to human.

Method
The Ocular Compartmental Absorption and Transit (OCAT™) model within GastroPlus® v9.8.2 was used to build PBPK models for levofloxacin (Lev), moxifloxacin (Mox), and gatifloxacin (Gat) ophthalmic solutions. in the rabbit eye. The models were subsequently used to predict Lev, Mox, and Gat exposure after ocular solution administrations in humans. Drug-specific parameters were used as fitted and validated in the rabbit OCAT model. The physiological parameters were scaled to match human ocular physiology.

Results
OCAT model simulations for rabbit well described the observed concentrations in the eye compartments following Lev, Mox, and Gat solution administrations of different doses and various administration schedules. The clinical ocular exposure following ocular administration of Lev, Mox, and Gat solutions at different doses and various administration schedules was well predicted.

Conclusion
Even though additional case studies for different types of active pharmaceutical ingredients (APIs) and formulations will be needed, the current study represents an important step in the validation of the extrapolation method to predict human ocular exposure for ophthalmic drug products using PBPK models.
Bridging the gap between stock price and bottom-line accounting numbers
Authors: Peng Zihang , Wang Pengguo , Christodoulou Demetris 
Published: September 2022

AbstractWe develop a method for extracting “other information” from the articulation between bottom-line accounting numbers and stock prices. We posit that “other information” captures future earnings growth originating from conservative accounting recognition principles as demonstrated by Penman and Zhang (2020) and Penman and Zhu (2022), as well as nonzero net present value investment opportunities. Our findings confirm that “other information” is strongly associated with various proxies for expected future earnings growth and firm risk attributes. Furthermore, we show how a structural expected return model incorporating our “other information” estimate can predict out-of-sample future stock returns and generate sizeable long-short return spreads.
State-of-the-art on theories and applications of cable-driven parallel robots
Authors: Zhang Zhaokun , Shao Zhufeng , You Zheng , Tang Xiaoqiang , Zi Bin , Yang Guilin , Gosselin Clément , Caro Stéphane 
Published: September 2022

AbstractCable-driven parallel robot (CDPR) is a type of high-performance robot that integrates cable-driven kinematic chains and parallel mechanism theory. It inherits the high dynamics and heavy load capacities of the parallel mechanism and significantly improves the workspace, cost and energy efficiency simultaneously. As a result, CDPRs have had irreplaceable roles in industrial and technological fields, such as astronomy, aerospace, logistics, simulators, and rehabilitation. CDPRs follow the cutting-edge trend of rigid-flexible fusion, reflect advanced lightweight design concepts, and have become a frontier topic in robotics research. This paper summarizes the kernel theories and developments of CDPRs, covering configuration design, cable-force distribution, workspace and stiffness, performance evaluation, optimization, and motion control. Kinematic modeling, workspace analysis, and cable-force solution are illustrated. Stiffness and dynamic modeling methods are discussed. To further promote the development, researchers should strengthen the investigation in configuration innovation, rapid calculation of workspace, performance evaluation, stiffness control, and rigid-flexible coupling dynamics. In addition, engineering problems such as cable materials, reliability design, and a unified control framework require attention.
Bureaucratic capacity and preference attainment in international economic negotiations
Authors: Berge Tarald Gulseth , Stiansen Øyvind 
Published: September 2022

AbstractWhat determines states’ ability to influence the contents of international institutions? Extant scholarship on international economic negotiations highlights the importance of political and economic capacity in negotiations. In this article, we argue that another structural source of negotiating power has been overlooked: bureaucratic capacity. Building on in-depth interviews with a large sample of international economic negotiators, we develop a theory of how differences in bureaucratic capacity can give states advantages in bilateral negotiations. We test our theory on a dataset of bilateral investment treaties. To measure preference attainment, we combine a unique repository of states’ public negotiating mandates called model treaties and the texts of finalized investment treaties to compute the verbatim distances between states’ stated preferences and the treaties they negotiate. We then show that states with greater bureaucratic capacity than their counterparts tend to achieve higher preference attainment in investment treaty negotiations. Our results have important implications for scholarship on international negotiations and for policy-makers engaged in investment policy reform.
Entscheidungen und ihre Bewertungen – Zur Mikrosoziologie des Schiedsrichter-Pfiffs
Authors: Weigelin Max 
Published: September 2022

ZusammenfassungDer Fall des Fußballschiedsrichters verweist die Bewertungssoziologie auf Praktiken des Entscheidens. Unter Bedingungen körperlicher Anwesenheit und der Konfliktlage des sportlichen Wettkampfs muss der Schiedsrichter ständig Spielsituationen bewerten und auf Bewertungskommunikation von Spielsituationen durch Spieler („Reklamationen“, usw.) eingehen. Immer wieder entstehen so „strittige Situationen“. Diese verwickeln ihn in einen Entscheidungszwang: Pfeifen oder Nicht-Pfeifen wird ihm dann in bestimmten Spielsequenzen gleichermaßen als Entscheidung zugerechnet. Eine solche Entscheidung zieht im Fußball bekanntermaßen ihrerseits spielöffentliche (mitunter hoch aggressive) Bewertungskommunikation in Form von Beschwerden nach sich. Auf Basis einer qualitativen Studie (Interviews und Dokumentenanalyse) untersucht der Beitrag daher, wie die schiedsrichterliche Praktik des Pfeifens Entscheidungs- und Bewertungspraktiken verknüpft, und wie die situativen Bedingungen des Fußballspiels diese Praktiken körperlich und dramaturgisch formatieren. Der Beitrag knüpft an jüngere Debatten in der Bewertungssoziologie an, die nach der Verknüpfung von dispersed practices fragen (Bewerten, Vergleichen, Kategorisieren usw.) und ergänzt diese durch ein Augenmerk auf eine spezifische Praktik des Entscheidens.
Women’s Reasons to Seek Bariatric Surgery and Their Expectations on the Surgery Outcome — a Multicenter Study from Five European Countries
Authors: Hult Mari , te Riele Wouter , Fischer Lars , Röstad Signe , Orava Kai , Heikkinen Timo , Sandbu Rune , Juuti Anne , Bonn Stephanie E. 
Published: September 2022

Abstract

Purpose
Understanding patients’ reasons for having bariatric surgery and their expectation on surgery outcomes is important to provide the best clinical practice and reduce unrealistic expectations. It is unknown if reasons and expectations differ between countries. We aimed to investigate the reasons for seeking bariatric surgery and expectations of surgical outcomes among patients in five European countries.

Methods
In total, 250 women accepted for bariatric surgery were recruited: 50 women each from Finland, Germany, Norway, Sweden, and the Netherlands. Participants ranked 14 reasons for seeking surgery, and reported the three primary reasons. They also reported expectations on weight loss and impact of surgery vs. lifestyle on weight loss outcomes.

Results
Mean age and body mass index were 42.9 ± 11.5 years and 45.1 ± 6.2 kg/m2, respectively. Weight loss and improved co-morbidity were ranked as the most important reasons. Participants expected to lose between 70.8 and 94.3% of their excessive weight. The expected impact of surgery as a driver of weight loss was higher in Germany and the Netherlands compared to in Finland, Norway, and Sweden where participants expected lifestyle changes to also have an impact.

Conclusion
Weight loss and improved co-morbidities were the main reasons for undergoing bariatric surgery. Expectations on weight loss were generally very high, but expectations of surgery vs. lifestyle as the main driver of weight loss differed between countries. While some patients understand the importance of lifestyle change and maintenance of a healthy lifestyle after surgery in order to obtain a successful weight loss, other may need additional counselling.

Graphical Abstract
Blockchain as enabling factor for implementing RFID and IoT technologies in VMI: a simulation on the Parmigiano Reggiano supply chain
Authors: Cammarano Antonello , Varriale Vincenzo , Michelino Francesca , Caputo Mauro 
Published: September 2022

AbstractBlockchain has recently been associated to Supply Chain Management to solve several problems and change operations management processes. The study proposes to analyse three different scenarios of the Parmigiano Reggiano supply chain considering blockchain technology as an enabler for the use of other technologies such as RFID and the Internet of Things (IoT) and for the exploitation of the Vendor Managed Inventory (VMI) strategy. The study is based on the evaluation of three agent-based simulation scenarios, a traditional "as is" scenario, a second "to be" scenario implementing emerging technologies including blockchain, and a third “to be” scenario that combines the second one with the VMI optimization strategy. The results show how the combined adoption of these technologies improves the procurement process and customer satisfaction. Findings highlight the impacts that the different scenarios have on the supply chain operations in a quantitative way and allows to evaluate the changes in supply chain processes. By employing emerging technologies, order management activities are more automated and time to order and lead time order preparation are reduced. However, to achieve these performances, other data capture tools such as RFID and IoT are needed. Finally, the introduction of the VMI strategy, when enabled by blockchain technology, improves the procurement performances and significantly reduces unfilled orders.
Complex ecological communities and the emergence of island species-area relationships
Authors: Vikrant Ankit , Nilsson Jacobi Martin 
Published: September 2022

AbstractIt has been a century since the species-area relationship (SAR) was first proposed as a power law to explain how species richness scales with area. There have been many attempts to explain the origin of this predominant form. Apart from the power law, numerous empirical studies also report a semi-log form of the SAR, but very few have addressed its incidence. In this work, we test whether these relationships could emerge from the assembly of large random communities on island-like systems. The clustering of same-species individuals is central to our results, which we incorporate by modifying the self-interaction term in the generalized Lotka-Volterra equations. Our analysis demonstrates that the two most widely reported relationship forms can emerge due to differences in immigration rates and skewness towards weak interactions. We particularly highlight the incidence of the semi-log SAR for low immigration rates from a source pool, which is consistent with several previous empirical studies. The two SAR forms might show good fits to data over a large span of areas but a power-law overestimates species richness on smaller islands in remote archipelagoes.
Exploring the Relationships Between Internalised Stigma, Loneliness, and Mental Well-Being Among Sex Workers
Authors: Hart Gabe , Allen Andrew , Aubyn Bonnie St , Mason Jonathan 
Published: September 2022

AbstractSex work is one of the most stigmatised professions in the world. Although research examining other stigmatised populations has found associations between internalised stigma, increased loneliness, and poorer mental well-being, there is limited research examining these associations for sex workers. This is concerning, considering Corrigan’s theory that internalised stigma, as well as external stigma, reduces opportunities of stigmatised persons. Further, internalised stigma, loneliness, and poorer well-being have been associated with significant social, mental, and physical consequences for stigmatised populations. As such, this exploratory study investigated sex workers’ internalised stigma, and its relationship with their mental well-being and experience of loneliness. 56 full-service sex workers (78.6% females, 12.5% non-binary, 8.9% males, ranging from 18 to 43 years old) completed an online, cross-sectional survey measuring their self-reported internalised stigma, loneliness, and mental well-being. Hierarchical multiple regression analyses (MRAs) supported the hypotheses that higher internalised stigma would significantly predict lower mental well-being and higher loneliness after controlling for age and gender. Internalised stigma accounted for a significant 39.3% of the variance in loneliness, and a significant 12.6% of the variance in mental well-being. Correlations supported the hypothesis that higher loneliness would significantly, negatively correlate with mental well-being after controlling for age. Findings aligned with prior research and supported Corrigan. Limitations of the study are discussed, including the small sample size and the cross-sectional, self-report research design. Identified areas of focus for future research and practice include consideration of other associates of internalised stigma for sex workers, as well as lessening the consequences of stigmatisation for sex workers through reduction of its internalisation.
Coindex and Rigidity of Einstein Metrics on Homogeneous Gray Manifolds
Authors: Schwahn Paul 
Published: September 2022

AbstractAny 6-dimensional strict nearly Kähler manifold is Einstein with positive scalar curvature. We compute the coindex of the metric with respect to the Einstein–Hilbert functional on each of the compact homogeneous examples. Moreover, we show that the infinitesimal Einstein deformations on $$F_{1,2}={\text {SU}}(3)/T^2$$

F

1
,
2

=
SU

(
3
)

/

T
2

are not integrable into a curve of Einstein metrics.
Integration of resistivity, neutron, and density logs for detecting, identifying, and calculating of groundwater over-pressuring phenomenon at Siwa Oasis Depression, Egypt
Authors: Ammar Abdallah Ibrahim 
Published: September 2022

Abstract Along with Siwa Oasis depression, there are several ponds, lakes, and Sabkhas features resulted from the current flows through the springs due to the over-pressure of deep sandstone aquifer. The Nubia Sandstone aquifer (NSA) and Carbonate aquifer are the main two water-bearing units. They are separated by a huge thickness of shale and controlled by complicated structural faults. There are ten wells including gamma-ray, short and long resistivity, caliper, neutron, and density logs. These logs were used in identifying the lithology, calculating the porosities, water saturation percentages, and effective permeability. The long resistivity, neutron, and density logs were used to detect, identify, and calculate this over-pressure and its zones. The shale resistivity, porosity, and density of the Nubia Sandstone formation were used in determining the expected normal compaction trend. The top of over-pressuring, over-pressuring forewarning, over-pressuring transition, and over-pressuring zones were detected. The formation pressure and its gradient were calculated at the first depth in the over-pressuring zone. The piezometric heads and pressures were calculated and mapped. The depths to the top of over-pressures, formation pressures, and their gradient maps were constructed. The statistical analyses between the two pressures were carried out. Accordingly, the thickness and type of shale, the effective porosity, the compaction of the deep aquifer, the huge thickness of the overlaid formation and its porosities, and the complicated structural conditions are considered the main factors in generating the over-pressuring phenomenon at Siwa Oasis. Therefore, this study considers that the used logs are compatible powerful tools in studying this phenomenon.
Exploring engagement, well-being, and welfare on engagement platforms: Insight into the personal service sector from the DACH region
Authors: Michalke Simon , Lohrenz Lisa , Lattemann Christoph , Robra-Bissantz Susanne 
Published: September 2022

AbstractEngagement platforms (EPs) are an essential technology to enable co-creation and service innovation. Therefore, the design and governance of these platforms are receiving increasing attention in research. In this study, we aim to identify which activities and mechanisms foster engagement and which governance mechanisms are implemented to avoid harm on EPs. To this end, we conducted expert interviews with founders, CEOs, and managers of 14 personal and household-related service platform companies from the DACH region (Germany(D), Austria(A), Switzerland(CH)), to gain insights into their activities and mechanisms for creating and maintaining successful EPs. We found eight mechanisms, e.g., moderation of content, limitations of entry and certification, employed by personal EPs (PEPs) as self-regulatory mechanisms to avoid misconduct and negative experiences of actors. The identified governance mechanisms may guide the design and governing of PEPs by providing tangible examples to foster actor engagement while considering externalities on a societal and individual level.
A Boundary Regression Model for Nested Named Entity Recognition
Authors: Chen Yanping , Wu Lefei , Zheng Qinghua , Huang Ruizhang , Liu Jun , Deng Liyuan , Yu Junhui , Qing Yongbin , Dong Bo , Chen Ping 
Published: September 2022

AbstractRecognizing named entities (NEs) is commonly treated as a classification problem, and a class tag for a word or an NE candidate in a sentence is predicted. In recent neural network developments, deep structures that map categorized features into continuous representations have been adopted. Using this approach, a dense space saturated with high-order abstract semantic information is unfolded, and the prediction is based on distributed feature representations. In this paper, the positions of NEs in a sentence are represented as continuous values. Then, a regression operation is introduced to regress the boundaries of NEs in a sentence. Based on boundary regression, we design a boundary regression model to support nested NE recognition. It is a multiobjective learning framework that simultaneously predicts the classification score of an NE candidate and refines its spatial location in a sentence. This model was evaluated on the ACE 2005 Chinese and English corpus and the GENIA corpus. State-of-the-art performance was experimentally demonstrated for nested NE recognition, which outperforms related works about 5% and 2% respectively. Our model has the advantage to resolve nested NEs and support boundary regression for locating NEs in a sentence. By sharing parameters for predicting and locating, this model enables more potent nonlinear function approximators to enhance model discriminability.
Identification and prediction of attacks to industrial control systems using temporal point processes
Authors: Fortino Giancarlo , Greco Claudia , Guzzo Antonella , Ianni Michele 
Published: September 2022

AbstractThe task of identifying malicious activities in logs and predicting threats is crucial nowadays in industrial sector. In this paper, we focus on the identification of past malicious activities and in the prediction of future threats by proposing a novel technique based on the combination of Marked Temporal Point Processes (MTTP) and Neural Networks. Differently from the traditional formulation of Temporal Point Processes, our method does not make any prior assumptions on the functional form of the conditional intensity function and on the distribution of the events. Our approach is based the adoption of Neural Networks with the goal of improving the capabilities of learning arbitrary and unknown event distributions by taking advantage of the Deep Learning theory. We conduct a series of experiments using industrial data coming from gas pipelines, showing that our framework is able to represent in a convenient way the information gathered from the logs and predict future menaces in an unsupervised way, as well as classifying the past ones. The results of the experimental evaluation, showing outstanding values for precision and recall, confirm the effectiveness of our approach.
Plant-Based Diets and Cancer Prognosis: a Review of Recent Research
Authors: Hardt Luisa , Mahamat-Saleh Yahya , Aune Dagfinn , Schlesinger Sabrina 
Published: September 2022

Abstract

Purpose of Review

Although plant-based diets are recommended for cancer prevention, their role in cancer survival is still uncertain. The purpose of this systematic review is to summarize the association between postdiagnosis plant-based diets and prognosis in cancer survivors.

Recent Findings

There is indication that higher intake of plant-based foods was associated with improved prognosis in cancer survivors. For colorectal cancer survival, a better prognosis was observed for a high intake of whole grains and fibre. For breast cancer survival, a higher intake of fruit, vegetable and fibre and a moderate intake of soy/isoflavone were associated with beneficial outcomes. A higher vegetable fat intake was related to improved prognosis in prostate cancer survivors.

Summary

Emerging evidence suggests benefits of postdiagnosis plant-based diets on prognosis in cancer survivors. However, given the high heterogeneity between studies, further research in cancer survivors, considering clinical factors (e.g. treatment, stage) and methodological aspects (e.g. timing of dietary assessment), is needed.
The Link Between Periodontitis and Alzheimer’s Disease: Reality or Yet Another Association
Authors: Ryder Mark I. 
Published: September 2022

Abstract
Purpose of Review
To establish a link or causation between periodontitis and Alzheimer’s disease requires studies that first establish an association or correlation between these two diseases, followed by in vitro, animal model, and human studies to identify possible underlying biological mechanisms, and finally assessing the benefits of periodontal therapy in general and targeted therapies against the microbiota and inflammatory responses in periodontitis. This review presents an update on the current correlation and biological mechanisms that link these two diseases, with special emphasis on the keystone periodontal pathogen Porphyromonas gingivalis and its key family of gingipain enzymes.

Recent Findings
Recent evidence for slowing the progression of Alzheimer’s disease through periodontal therapy in general, as well as focused therapies directed against Porphyromonas gingivalis and its gingipains, are presented.

Summary
These intervention studies, together with the recent association and biological mechanism studies, strengthen the evidence for a direct link or causation between these two diseases. In addition, these recent studies support the special role of the dental practitioner in the management of patients with cognitive decline.