bluuebunny/crossref_metadata_2025_split huggingface dataset:
Immuno-PET Monitoring of CD8+ T Cell Infiltration Post ICOS Agonist Antibody Treatment Alone and in Combination with PD-1 Blocking Antibody Using a 89Zr Anti-CD8+ Mouse Minibody in EMT6 Syngeneic Tumor Mouse
Authors: Alsaid Hasan , Cheng Shih-Hsun , Bi Meixia , Xie Fang , Rambo Mary , Skedzielewski Tinamarie , Hoang Bao , Mohanan Sunish , Comroe Debra , Gehman Andrew , Hsu Chih-Yang , Farhangi Kamyar , Tran Hoang , Sherina Valeriia , Doan Minh , Groseclose M. Reid , Hopson Christopher B. , Brett Sara , Wilson Ian A. , Nicholls Andrew , Ballas Marc , Waight Jeremy D. , Jucker Beat M. 
Published: October 2022

Abstract

Purpose
The presence and functional competence of intratumoral CD8+ T cells is often a barometer for successful immunotherapeutic responses in cancer. Despite this understanding and the extensive number of clinical-stage immunotherapies focused on potentiation (co-stimulation) or rescue (checkpoint blockade) of CD8+ T cell antitumor activity, dynamic biomarker strategies are often lacking. To help fill this gap, immuno-PET nuclear imaging has emerged as a powerful tool for in vivo molecular imaging of antibody targeting. Here, we took advantage of immuno-PET imaging using 89Zr-IAB42M1-14, anti-mouse CD8 minibody, to characterize CD8+ T-cell tumor infiltration dynamics following ICOS (inducible T-cell co-stimulator) agonist antibody treatment alone and in combination with PD-1 blocking antibody in a model of mammary carcinoma.
Procedures.
Female BALB/c mice with established EMT6 tumors received 10 µg, IP of either IgG control antibodies, ICOS agonist monotherapy, or ICOS/PD-1 combination therapy on days 0, 3, 5, 7, 9, 10, or 14. Imaging was performed at 24 and 48 h post IV dose of 89Zr IAB42M1-14. In addition to 89Zr-IAB42M1-14 uptake in tumor and tumor-draining lymph node (TDLN), 3D radiomic features were extracted from PET/CT images to identify treatment effects. Imaging mass cytometry (IMC) and immunohistochemistry (IHC) was performed at end of study.

Results
89Zr-IAB42M1-14 uptake in the tumor was observed by day 11 and was preceded by an increase in the TDLN as early as day 4. The spatial distribution of 89Zr-IAB42M1-14 was more uniform in the drug treated vs. control tumors, which had spatially distinct tracer uptake in the periphery relative to the core of the tumor. IMC analysis showed an increased percentage of cytotoxic T cells in the ICOS monotherapy and ICOS/PD-1 combination group compared to IgG controls. Additionally, temporal radiomics analysis demonstrated early predictiveness of imaging features.

Conclusion
To our knowledge, this is the first detailed description of the use of a novel immune-PET imaging technique to assess the kinetics of CD8+ T-cell infiltration into tumor and lymphoid tissues following ICOS agonist and PD-1 blocking antibody therapy. By demonstrating the capacity for increased spatial and temporal resolution of CD8+ T-cell infiltration across tumors and lymphoid tissues, these observations underscore the widespread potential clinical utility of non-invasive PET imaging for T-cell-based immunotherapy in cancer.
Life cycle assessment of peat for growing media and evaluation of the suitability of using the Product Environmental Footprint methodology for peat
Authors: Stichnothe Heinz 
Published: October 2022

Abstract
Purpose
Peat extraction rapidly removes carbon from the peatland carbon store and furthermore leads to substantial losses of carbon from the extraction site by stimulating decomposition and erosion. Aim of this study is to evaluate whether the Product Environmental Footprint (PEF) approach is suitable for assessing the environmental impacts of white and black peat used in growing media as well as to provide generic data collected from growing media producers and the scientific literature. It is not the aim of this study to compare different land use options for peatlands.

Method
PEF is developed in order to make environmental product declaration claims more reliable, comparable and verifiable across the EU, and to increase consumer confidence in eco-labels and environmental impact information. For PEF-compliant studies all land use activities must be considered. For peat extraction either pristine peatland or previously drained peatland used for forestry or agriculture has to be transformed. Hence, the suitability of land use-related PEF indicators is also investigated.

Results
Diesel consumed for peat extraction, electricity used for peat processing and transport are the main contributors to acidification. Fuel production and consumption are the main contributors to human toxicity, with heavy metals to air and freshwater the contributing emissions. Ionising radiation, ozone depletion and resource depletion of minerals and metals are mainly caused by the electricity used. Climate change increased from 26 kg CO2eq per m3 processed white peat to 51 kg CO2eq per m3 processed black peat. The use of peat causes substantially higher GHG than the previous life cycle stages combined; white peat causes approximately 183 kg CO2eq per m3 and black peat 257 kg CO2eq per m3.

Conclusions
Environmental impacts caused by peat are variable and depend on a number of spatial and temporal factors. Although most indicators used for PEF are suitable for assessing peat systems, that does not apply for the land use indicator and is at least questionable for the water use indicator, respectively, its weighting factor. Consequently, it is neither possible to identify the most relevant impact categories based on normalised and weighted results nor to calculate an overall single score for peat containing growing media. Since normalisation and weighting are mandatory steps for PEF conform impact assessment, the current PEF approach is not suitable to assess peat as intermediate product without adaptation of the land use indicator.
Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering
Authors: del Barrio Eustasio , Inouzhe Hristo , Loubes Jean-Michel 
Published: October 2022

AbstractWe consider the problem of diversity enhancing clustering, i.e, developing clustering methods which produce clusters that favour diversity with respect to a set of protected attributes such as race, sex, age, etc. In the context of fair clustering, diversity plays a major role when fairness is understood as demographic parity. To promote diversity, we introduce perturbations to the distance in the unprotected attributes that account for protected attributes in a way that resembles attraction-repulsion of charged particles in Physics. These perturbations are defined through dissimilarities with a tractable interpretation. Cluster analysis based on attraction-repulsion dissimilarities penalizes homogeneity of the clusters with respect to the protected attributes and leads to an improvement in diversity. An advantage of our approach, which falls into a pre-processing set-up, is its compatibility with a wide variety of clustering methods and whit non-Euclidean data. We illustrate the use of our procedures with both synthetic and real data and provide discussion about the relation between diversity, fairness, and cluster structure.
Customer Experience Management – Eine qualitative Studie zur Umsetzung in der Versicherungsbranche
Authors: Klopfer Lisa-Marie , Steul-Fischer Martina , Zitzmann Armin 
Published: October 2022

ZusammenfassungDas Customer Experience Management erfährt in jüngster Zeit sowohl in der Konsumgüter- als auch in der Dienstleistungsbranche erhöhte Aufmerksamkeit. Die Relevanz ergibt sich unter anderem aus dem veränderten Konsumverhalten und den gestiegenen Kundenerwartungen in Folge der Digitalisierung. Auch die Forschung beschäftigt sich zunehmend mit dem Managementansatz, wobei dessen Umsetzung durch Versicherungsunternehmen bisher noch nicht untersucht wurde. Diese Studie beleuchtet daher den Status quo des Customer Experience Managements in der Versicherungsbranche in Form einer qualitativen Studie. Als Fallbeispiel dient die NÜRNBERGER Versicherung, die seit 2016 ein konzernübergreifendes Customer Experience Management für ihre Privatkunden aufbaut. Das Unternehmen hat bereits eine Vielzahl an Maßnahmen ergriffen, um die Bedürfnisse sowie Ansprüche seiner Kunden besser zu verstehen und ihnen somit in jeder Phase der Kundenbeziehung ein optimales Kundenerlebnis zu bieten sowie damit zu einer Verbesserung der Kundenzufriedenheit beizutragen.
A Genome-Wide Association Study of Outcome After Aneurysmal Subarachnoid Haemorrhage: Discovery Analysis
Authors: Gaastra Ben , Alexander Sheila , Bakker Mark K. , Bhagat Hemant , Bijlenga Philippe , Blackburn Spiros L. , Collins Malie K. , Doré Sylvain , Griessenauer Christoph J. , Hendrix Philipp , Hong Eun Pyo , Hostettler Isabel C. , Houlden Henry , IIhara Koji , Jeon Jin Pyeong , Kim Bong Jun , Li Jiang , Morel Sandrine , Nyquist Paul , Ren Dianxu , Ruigrok Ynte M. , Werring David , Tapper Will , Galea Ian , Bulters Diederik 
Published: October 2022

Abstract
Candidate gene studies have identified genetic variants associated with clinical outcomes following aneurysmal subarachnoid haemorrhage (aSAH), but no genome-wide association studies have been performed to date. Here we report the results of the discovery phase of a two-stage genome-wide meta-analysis of outcome after aSAH. We identified 157 independent loci harbouring 756 genetic variants associated with outcome after aSAH (p < 1 × 10−4), which require validation. A single variant (rs12949158), in SPNS2, achieved genome-wide significance (p = 4.29 × 10−8) implicating sphingosine-1-phosphate signalling in outcome after aSAH. A large multicentre international effort to recruit samples for validation is required and ongoing. Validation of these findings will provide significant insight into the pathophysiology of outcomes after aSAH with potential implications for treatment.
Ethical Redress of Racial Inequities in AI: Lessons from Decoupling Machine Learning from Optimization in Medical Appointment Scheduling
Authors: Shanklin Robert , Samorani Michele , Harris Shannon , Santoro Michael A. 
Published: October 2022

AbstractAn Artificial Intelligence algorithm trained on data that reflect racial biases may yield racially biased outputs, even if the algorithm on its own is unbiased. For example, algorithms used to schedule medical appointments in the USA predict that Black patients are at a higher risk of no-show than non-Black patients, though technically accurate given existing data that prediction results in Black patients being overwhelmingly scheduled in appointment slots that cause longer wait times than non-Black patients. This perpetuates racial inequity, in this case lesser access to medical care. This gives rise to one type of Accuracy-Fairness trade-off: preserve the efficiency offered by using AI to schedule appointments or discard that efficiency in order to avoid perpetuating ethno-racial disparities. Similar trade-offs arise in a range of AI applications including others in medicine, as well as in education, judicial systems, and public security, among others. This article presents a framework for addressing such trade-offs where Machine Learning and Optimization components of the algorithm are decoupled. Applied to medical appointment scheduling, our framework articulates four approaches intervening in different ways on different components of the algorithm. Each yields specific results, in one case preserving accuracy comparable to the current state-of-the-art while eliminating the disparity.
Early postoperative duplex ultrasound findings of the hepatic artery in postoperative vascular complications from paediatric liver transplantation
Authors: Panpikoon Tanapong , Treesit Tharintorn , Bua-ngam Chinnarat , Feinggumloon Sasikorn , Pichitpichatkul Kaewpitcha , Sriprachyakul Apichaya , Aimprasittichai Satita , Chimcherd Apinya , Thirapattaraphan Chollasak , Lertudomphonwanit Chatmanee , Tanpowpong Pornthep 
Published: October 2022

Abstract
Purpose
To evaluate duplex US findings of the HA in all three postoperative vascular (HA, PV, HV and IVC) complications of paediatric LT for early detection and some helpful secondary signs to determine these vascular complications.

Materials and methods
We collected data from 44 post-LT paediatric patients who underwent daily duplex US for seven consecutive days and three months after LT during January 2017–June 2020. Four duplex US parameters of the HA (extrahepatic PSV, intrahepatic PSV, RI and AT) were compared in patients with and without complications.

Results
The PSV of the extrahepatic HA in patients with HA complications was higher than that in patients without complications (P value = 0.019). The PSV at 107.7 cm/s is the optimal cut-off parameter associated with HA complications [a sensitivity of 88.9% and a specificity of 80.0% (ROC area is 0.84)]. The intrahepatic RI was higher on the first day than on the last day and gradually decreased in patients without vascular complications (P value = 0.000). The intrahepatic PSV significantly decreased with time when comparing the first and last days in patients without PV and HV-IVC complications (P value = 0.014 and 0.038). In contrast, patients with vascular complications showed no significant decrease.

Conclusion
The extrahepatic PSV relates to HA complications after paediatric LT but not PV and HV-IVC complications. Non-significantly decreased intrahepatic RI and PSV from the first day to the day of complication diagnosis may correlate with the occurrence of vascular complications.
Solid Electrolyte Interface in Zn-Based Battery Systems
Authors: Wang Xinyu , Li Xiaomin , Fan Huiqing , Ma Longtao 
Published: October 2022

AbstractDue to its high theoretical capacity (820 mAh g−1), low standard electrode potential (− 0.76 V vs. SHE), excellent stability in aqueous solutions, low cost, environmental friendliness and intrinsically high safety, zinc (Zn)-based batteries have attracted much attention in developing new energy storage devices. In Zn battery system, the battery performance is significantly affected by the solid electrolyte interface (SEI), which is controlled by electrode and electrolyte, and attracts dendrite growth, electrochemical stability window range, metallic Zn anode corrosion and passivation, and electrolyte mutations. Therefore, the design of SEI is decisive for the overall performance of Zn battery systems. This paper summarizes the formation mechanism, the types and characteristics, and the characterization techniques associated with SEI. Meanwhile, we analyze the influence of SEI on battery performance, and put forward the design strategies of SEI. Finally, the future research of SEI in Zn battery system is prospected to seize the nature of SEI, improve the battery performance and promote the large-scale application.
Breeding and conservation of Luciola cruciata Motschulsky, 1854 (Coleoptera: Lampyridae) larvae in forests near chemical factories
Authors: Sano Kazuhiko , Fukuzono Toshihiko , Yokoyama Tadashi , Chiba Yutaka , Kato Jinichiro 
Published: October 2022

AbstractThe number of fireflies in Japan has decreased with the development of cities and industries. As a first step toward the regeneration of an environment for fireflies, we report an attempt to breed aquatic firefly larvae. Focusing on the operational stability of equipment used, we use a safety evaluation method like that employed in petrochemical plants. The death of larvae is a major risk in the operational safety of firefly larvae breeding. The larval death scenario is analyzed and clarified using fault tree analysis, demonstrating that reducing operational mistakes in monitoring water flow and temperature conditions contribute most to the reduction of the probability of larval death. An experiment simulating water supply stoppage to estimate the permissible time for a response once the water temperature rose is reported. A firefly larval breeding system equipped with an alarm function for prompting emergency responses is constructed. Fireflies, including mature larvae, are successfully bred and the effectiveness of this system is demonstrated by comparing it with a conventional system. The superiority of the breeding system of this study is indicated by a twofold increase in the yield of mature larvae and the lower expenses related to this strategy.
Studies of mechanical and technological parameters and evaluation of the role of lustrous carbon carriers in green moulding sands with hybrid bentonite
Authors: Kamińska Jadwiga , Stachowicz Mateusz , Puzio Sabina , Angrecki Michał 
Published: October 2022

Abstract
Green moulding sands containing special carbonaceous additives, which are the source of lustrous carbon (LC), are discussed in this paper. Five potential lustrous carbon carriers, i.e., two types of hard coal dust (No.1 and No.2), amorphous graphite (No.3) and two hydrocarbon resins (No.4 and No.5), were selected for tests as carbonaceous additives to conventional moulding sands. To better emphasize the differences in the additives used, reference green moulding sand (GMS1) was prepared and subjected to a wide range of basic tests focussed on technological parameters, such as permeability (Pw), friability (Fw), Dietert mouldability test (PD) and compactability (Z) and mechanical parameters, such as compressive strength (Rc
w), tensile strength (Rm
w), strength in the transformation zone (Rk
w). The proposed comprehensive spectrum of tests was repeated on sands with five carbonaceous additives. The most important for the use of additives as carbon carriers was to interrelate the content of lustrous carbon (LC), loss on ignition (LOI) and the obtained results of mechanical and technological tests carried out on conventional moulding sands with the surface quality of iron castings. For this purpose, a series of iron castings was made in the prepared moulding sands and used for the assessment of surface quality based on a number of roughness parameters (Ra, Rz, Rp, Rq, Rv, Rlr, RSm). As a result of the studies it was found that the carbonaceous additives proposed for use help to obtain high-quality surfaces in iron castings.
Systematic Analysis of the Supply Chain Operations Reference Model for Supporting Circular Economy
Authors: van Engelenhoven Tanja , Kassahun Ayalew , Tekinerdogan Bedir 
Published: October 2022

AbstractNowadays, we produce and consume a large volume of products giving insufficient regard to what happens to the products before, during and after use or consumption. Globally roughly one-third of food produced is lost or wasted each year. As the world population and per-capita income increase, the problem gets worse. This lifestyle based on “linear” economy has become untenable, and therefore the adoption of a system of business processes that implement circular economy principles approach is proposed. However, it is not clear to what extent the current practice of documenting business processes in supply chains, the SCOR (Supply Chain Operations Reference) model, reflects and captures the circular economy practices. In this study, we reviewed the state-of-the-art literature to identify to what extent the SCOR model has been used in connection to circular economy and to what extent SCOR supports “circular” business processes.
Urban walking as a practice of care: sensorial activism in Durban, South Africa
Authors: Fischer Jeannine-Madeleine 
Published: October 2022

AbstractIn this article, I explore how the sensory perception of urban environments translates into an activist practice of care. Based on a case study from my digital ethnography, I argue that activist artist and architect Doung Anwar Jahangeer’s performative “City Walks” are aimed at experimenting with, questioning and reframing perceptions of marginalised places in Durban. Re-interpreting and re-experiencing public attributions of meaning to locations through walking allows for a sensory re-appropriation of places labelled as poor and dangerous. Conceiving of sensing as an active process, I argue that sensorial ways of caring transcend boundaries of normativity, space and time in the city. I show how urban walking practices of care have the potential to partially realise future visions of spatial and social justice through sensory engagement with the city.
Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements
Authors: Bogani Ronny , Theodorou Andreas , Arnaboldi Luca , Wortham Robert H. 
Published: October 2022

AbstractData and autonomous systems are taking over our lives, from healthcare to smart homes very few aspects of our day to day are not permeated by them. The technological advances enabled by these technologies are limitless. However, with advantages so too come challenges. As these technologies encompass more and more aspects of our lives, we are forgetting the ethical, legal, safety and moral concerns that arise as an outcome of integrating our lives with technology. In this work, we study the lifecycle of artificial intelligence from data gathering to deployment, providing a structured analytical assessment of the potential ethical, safety and legal concerns. The paper then presents the foundations for the first ethical artificial intelligence sustainability statement to guide future development of AI in a safe and sustainable manner.
Cloudburst analysis in the Nainital district, Himalayan Region, 2021
Authors: Rawat Kishan Singh , Sahu Smruti Ranjan , Singh Sudhir Kumar , Mishra Anil Kumar 
Published: October 2022

AbstractSome areas of Uttarakhand faced heavy rainfall during October 17-19th, 2021. In October, rainfall hit its all-time high. A sudden heavy rainfall occurred due to this, which has affected the daily life of humans. More than 50 casualties were recorded during this study period. The main focus of this study was to monitor the Uttarakhand flood event using satellite observations. The Nainital and Almora districts of the state were mainly affected by this sudden heavy rainfall. On October 18th, Nainital received the maximum rainfall of about 21.51 mm at 11:00 am (UTC). The Nainital district has recorded a cumulative rainfall of more than 300 mm on October 18th, 2021. From the observation, we find out that this heavy rainfall occurred due to a sudden cloud burst at Ramgarh in Nainital district. This sudden extreme rainfall further caused a flash flood in the study area. The rainfall pattern has moved towards Assam after it caused a flash flood in the Nainital district of Uttarakhand, India.
Ca2+ signaling in plant manganese uptake: CPK21/23 kinases phosphorylate and activate manganese transporter NRAMP1
Authors: Huang Chao-Feng 
Published: October 2022

AbstractThis brief article highlights the results of Fu et al. (Proc Natl Acad Sci USA 119:e2204574119, 2022), who recently found that manganese (Mn) deficiency triggers long-lasting multicellular Ca2+ oscillations in the elongation zone (EZ) of Arabidopsis roots and revealed a Ca2+-CPK21/23-NRAMP1 axis as an important mechanism for plant tolerance and adaptation to low Mn.