bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using International Environmental Law to Enhance Biodiversity and Nature Conservation During Armed Conflict
Authors: Hulme Karen 
Published: December 2022

Abstract
Biodiversity and nature are severely impacted by armed conflict, particularly those fought in biodiversity-rich environments. Whether harm is caused directly by bullets and bombs, through the seepage of toxic chemicals into rivers and soils, the ground-churning tracks of tanks, or the ‘conservation vacuum’ the result is often the same — severe, possibly permanent, ecological change. International humanitarian law (IHL) has consistently come up short in delivering environmental protection on the battlefield. Can international environmental law (IEL) fare any better? The International Law Commission (ILC) and the International Committee of the Red Cross (ICRC) have both submitted major new guidelines in the last two years, following more than a decade of in-depth analysis of the IHL rules governing protection of the environment in relation to armed conflict. However, neither body was able to analyse the applicability of IEL obligations during armed conflict. Several authors have more recently entered this space, but none have so far undertaken a rule-by-rule analysis and spanning such a range of treaties. This article assesses the potential of the main biodiversity and nature conservation treaties to offer further environmental protection during armed conflict. Identifying complementary IEL obligations, particularly in relation to the conduct of hostilities, could be valuable to both mirror and reinforce IHL protections, and would ensure that IEL treaty bodies and third states have a basis upon which to promote conservation work with the parties to the conflict.
Mifepristone, preemption, and public health federalism
Authors: Zettler Patricia J , Beckmeyer Annamarie , Brown Beatrice L , Sarpatwari Ameet 
Published: December 2022

Abstract
On June 24, 2022, the Supreme Court issued an opinion in which five justices voted to overturn Roe v Wade. Even before the final opinion issued, scholars and advocates had begun to consider legal strategies that might mitigate the decision’s anticipated harmful consequences. One such strategy involves challenging state restrictions on Food and Drug Administration (FDA)-approved pregnancy termination drugs on preemption grounds. This article begins by exploring how these challenges might fare—considering both drug-specific restrictions and complete bans on abortion—arguing that there are compelling legal grounds on which courts should conclude that many state restrictions are preempted. Importantly, although these state restrictions have arisen within a larger debate about reproductive health care, this is far from the only area in which states seek to regulate prescription drugs. States have long regulated drugs in ways that diverge from FDA, arguably increasingly so in recent years. Accordingly, the article investigates the implications that preemption challenges in the abortion context may have for other areas of state drug regulation, making the case that the benefits of public health federalism need not be undermined by successful preemption challenges in the abortion arena.
Tandem chimeric antigen receptor (CAR) T cells targeting EGFRvIII and IL-13Rα2 are effective against heterogeneous glioblastoma
Authors: Schmidts Andrea , Srivastava Ambike A , Ramapriyan Rishab , Bailey Stefanie R , Bouffard Amanda A , Cahill Daniel P , Carter Bob S , Curry William T , Dunn Gavin P , Frigault Matthew J , Gerstner Elizabeth R , Ghannam Jack Y , Kann Michael C , Larson Rebecca C , Leick Mark B , Nahed Brian V , Richardson Leland G , Scarfò Irene , Sun Jing , Wakimoto Hiroaki , Maus Marcela V , Choi Bryan D 
Published: December 2022

Abstract

Background
Chimeric antigen receptor (CAR) T cells have achieved remarkable responses in patients with hematological malignancies; however, the potential of this therapeutic platform for solid tumors like glioblastoma (GBM) has been limited, due in large part to the targeting of single antigens in a heterogeneous disease. Strategies that allow CAR T cells to engage multiple antigens concomitantly may broaden therapeutic responses and mitigate the effects of immune escape.

Methods
Here we have developed a novel, dual-specific, tandem CAR T (TanCART) cell with the ability to simultaneously target both EGFRvIII and IL-13Rα2, two well-characterized tumor antigens that are frequently found on the surface of GBM cells but completely absent from normal brain tissues. We employed both standard immunological assays and multiple orthotopic preclinical models including patient-derived xenograft to demonstrate efficacy of this approach against heterogeneous tumors.

Results
Tandem CAR T cells displayed enhanced cytotoxicity in vitro against heterogeneous GBM populations, including patient-derived brain tumor cultures (P &lt; .05). Compared to CAR T cells targeting single antigens, dual antigen engagement through the tandem construct was necessary to achieve long-term, complete, and durable responses in orthotopic murine models of heterogeneous GBM, including patient-derived xenografts (P &lt; .05).

Conclusions
We demonstrate that TanCART is effective against heterogeneous tumors in the brain. These data lend further credence to the development of multi-specific CAR T cells in the treatment of GBM and other cancers.
The sleep homeostatic response to sleep deprivation in humans is heritable
Authors: Goldschmied Jennifer R , Kuna Samuel T , Maislin Greg , Tanayapong Pongsakorn , Pack Allan I , Younes Magdy 
Published: December 2022

AbstractStudy ObjectivesFollowing sleep deprivation, increases in delta power have historically been used to index increases in sleep pressure. Research in mice has demonstrated that the homeostatic delta power response to sleep deprivation is heritable. Whether this is true in humans is unknown. In the present study, we used delta power and ORP, a novel measure of sleep depth, to investigate the effects of acute sleep deprivation on sleep depth and to assess the heritability of sleep homeostasis in humans.MethodsORP and delta power were examined during baseline and recovery sleep following 38 h of sleep deprivation in 57 monozygotic and 38 dizygotic same-sex twin pairs. Two complementary methods were used to estimate the trait heritability of sleep homeostasis.ResultsDuring recovery sleep, ORP was lower and delta power was higher than at baseline, indicating deeper sleep. However, at the end of the recovery night, delta power reached baseline levels but ORP demonstrated incomplete recovery. Both ORP and delta power showed a broad sense heritability of sleep homeostasis following sleep deprivation. The classical approach demonstrated an h2 estimate of 0.43 for ORP and 0.73 for delta power. Mixed-effect multilevel models showed that the proportion of variance attributable to additive genetic transmission was 0.499 (95% CI = 0.316–0.682; p &lt; .0001) for ORP and 0.565 (95% CI = 0.403–0.726; p &lt; .0001 for delta power.ConclusionsThese results demonstrate that the homeostatic response to sleep deprivation is a heritable trait in humans and confirm ORP as a robust measure of sleep depth.
Safety of Stromal Vascular Fraction Cell Therapy for Chronic Kidney Disease of Unknown Cause (Mesoamerican Nephropathy)
Authors: Carstens Michael H , García Nelson , Mandayam Sreedhar , Workeneh Biruh , Pastora Indiana , Calderón Carlos , Bertram Kenneth A , Correa Diego 
Published: December 2022

AbstractChronic kidney disease of unknown cause (CKDu), also known as Mesoamerican nephropathy, typically presents as an ischemic nephropathy with chronic tubulointerstitial fibrosis in normotensive patients, rapidly progressing to kidney failure. In this first-in-human, open-label, safety study, we followed 18 patients with CKDu (stages 3-5) for 36 months after receiving a single infusion of angiogenic/anti-fibrotic autologous adipose-derived stromal vascular fraction (SVF) cells into their kidneys bilaterally via renal artery catheterization. SVF therapy was safe and well tolerated. There were no SVF-related serious adverse events and no procedural complications. Color Doppler evaluation at 2 months demonstrated increased perfusion to the interlobar and/or arcuate artery levels in each kidney evaluated (36/36) with a reduction in resistance index at the hilar artery (35/36) kidneys. Beyond 12 months, patients with initial eGFR &lt;30 mL/minute/1.73 m2 deteriorated, whereas those ≥30 mL/minute/1.73 m2 further sustained their renal function, suggesting a possible renal protective effect in that group.
Striving toward Community-Engaged and Participatory Methods: Considerations for Researchers in Academic Settings
Authors: Narendorf Sarah C , Ali Samira , Lea Charles H , Pritzker Suzanne 
Published: December 2022

AbstractCommunity-engaged and participatory methods are increasingly used by academic researchers. Power dynamics in academia shape the landscape in which researchers implement these methods, yet are rarely understood and intentionally addressed. Through the lens of social work researchers at different career stages, this article describes how power relations within academia present challenges to community-engaged and participatory research across four stages of the research process (participant/researcher relationship, study formulation, conducting research, and publication/dissemination). These challenges are located within four domains of power identified by intersectionality scholars: Institutional policies such as those for tenure and promotion and for research administration presented challenges with the structural domain. Decisions about how to implement and enforce policies and operationalize what counts for tenure and promotion were identified as challenges within the disciplinary domain. Norms about who belongs on a university campus and what types of research are valued exemplified the cultural domain, while dynamics about who is viewed as an expert exemplified challenges the interpersonal domain. Across the research process, the article identifies potential solutions and suggests strategies for intentional consideration by academic researchers and their institutions to conduct meaningful, inclusive, and socially just research that shares power with community.
An approach of dynamic response analysis of nonlinear structures based on least square Volterra kernel function identification
Authors: Zhang Zhenhao , Xiong Jun , Zhao Zhenpeng , Wang Fuming , Zeng Yi , Zhao Bing , Ke Lu 
Published: December 2022

Abstract
Analysis of the dynamic response of a complex nonlinear system is always a difficult problem. By using Volterra functional series to describe a nonlinear system, its response analysis can be similar to using Fourier/Laplace transform and linear transfer function method to analyse a linear system's response. In this paper, a dynamic response analysis method for nonlinear systems based on Volterra series is developed. Firstly, the recursive formula of the least square method is established to solve the Volterra kernel function vector, and the corresponding MATLAB programme is compiled. Then, the Volterra kernel vector corresponding to the nonlinear response of a structure under seismic excitation is identified, and the accuracy and applicability of using the kernel vector to predict the response of a nonlinear structure are analysed. The results show that the Volterra kernel function identified by the derived recursive formula can accurately describe the nonlinear response characteristics of a structure under an excitation. For a general nonlinear system, the first three order Volterra kernel function can relatively accurately express its nonlinear response characteristics. In addition, the obtained Volterra kernel function can be used to accurately predict the nonlinear response of a structure under the similar type of dynamic load.
Exploring the stimulative effect on following drivers in a consecutive lane change using microscopic vehicle trajectory data
Authors: Gu Ruifeng , Li Ye , Cen Xuekai 
Published: December 2022

Abstract
Improper lane-changing behaviours may result in breakdown of traffic flow and the occurrence of various types of collisions. This study investigates lane-changing behaviours of multiple vehicles and the stimulative effect on following drivers in a consecutive lane-changing scenario. The microscopic trajectory data from the HighD dataset are used for driving behaviour analysis. Two discretionary lane-changing vehicle groups constitute a consecutive lane-changing scenario, and not only distance- and speed-related factors but also driving behaviours are taken into account to examine the impacts on the utility of following lane-changing vehicles. A random parameters logit model is developed to capture the driver's psychological heterogeneity in the consecutive lane-changing situation. Furthermore, a lane-changing utility prediction model is established based on three supervised learning algorithms to detect the improper lane-changing decision. Results indicate that 1) the consecutive lane-changing behaviours have a significant negative effect on the following lane-changing vehicles after lane change; 2) the stimulative effect exists in a consecutive lane-change situation and its influence is heterogeneous due to different psychological activities of drivers; and 3) the utility prediction model can be used to detect an improper lane-changing decision.
A bearing fault diagnosis method based on a convolutional spiking neural network with spatial–temporal feature-extraction capability
Authors: Zhang Changfan , Xiao Zunguang , Sheng Zhenwen 
Published: December 2022

Abstract
Convolutional neural networks (CNNs) are widely used in the field of fault diagnosis due to their strong feature-extraction capability. However, in each timestep, CNNs only consider the current input and ignore any cyclicity in time, therefore producing difficulties in mining temporal features from the data. In this work, the third-generation neural network—the spiking neural network (SNN)—is utilized in bearing fault diagnosis. SNNs incorporate temporal concepts and utilize discrete spike sequences in communication, making them more biologically explanatory. Inspired by the classic CNN LeNet-5 framework, a bearing fault diagnosis method based on a convolutional SNN is proposed. In this method, the spiking convolutional network and the spiking classifier network are constructed by using the integrate-and-fire (IF) and leaky-integrate-and-fire (LIF) model, respectively, and end-to-end training is conducted on the overall model using a surrogate gradient method. The signals are adaptively encoded into spikes in the spiking neuron layer. In addition, the network utilizes max-pooling, which is consistent with the spatial-temporal characteristics of SNNs. Combined with the spiking convolutional layers, the network fully extracts the spatial-temporal features from the bearing vibration signals. Experimental validations and comparisons are conducted on bearings. The results show that the proposed method achieves high accuracy and takes fewer time steps.
Design of concise robust control for longitudinal motion of YuKun
Authors: Liu Chenfei , Xiao Peikun , Zhang Xianku , Wang Pengqi , Wang Jiafu , Hu Dinghuo 
Published: December 2022

Abstract
With the rapid development of the shipping industry, the safety and comfort of ship transportation have been paid more and more attention, and the pitch and heave motion of ships are the most serious factors. In this paper, the longitudinal motion mathematical model of YuKun is established. By assigning the zero-pole to the left half-plane and using the properties of the symmetric matrix, the shaping weighting functions matrix is designed to stabilize the multi-input multi-output (MIMO) system of YuKun. Finally, a new concise robust controller is designed using the steady output of the shaped system. The simulation results show that under the control of the concise robust controller, the pitch angle and heave of YuKun decrease by 79.9% and 86.2%, respectively. Theoretical analysis and simulation results show that the concise robust controller has a good control effect on the longitudinal motion of YuKun, and is simple and easy to use, with clear engineering significance.
An Assessment of the Virome of Nigerian Vineyards
Authors: Zongoma Aisha M. , Dangora D. B. , Al Rwahnih M. , Alabi O. J. 
Published: December 2022

The virome of Nigerian vineyards was assessed via diagnostic surveys for viruses and viroids in 40 sites across six states in 2016. Leaf tissues from 360 grapevines were preserved dried under CaCl2. High-throughput sequencing of total RNA extracts from two composite dry leaf samples resulted in the detection of grapevine leafroll-associated virus 1 (GLRaV-1), hop stunt viroid (HSVd), grapevine yellow speckle viroid 1 (GYSVd-1), and GYSVd-2. The incidences and distribution of these agents were assessed via RT-PCR with specific primers and two additional primer pairs targeting grapevine rupestris stem pitting-associated virus (GRSPaV) and grapevine red blotch virus (GRBV). Approximately 47% (169/360) of the samples had mixed infections of two to five agents, ∼22% (78/360) had single infections, and ∼31% (113/360) tested negative. HSVd was the most common, with its occurrence in ∼53% (192/360; 39 sites) of samples, followed by GYSVd-2 (∼43%; 155/360; 34 sites), GYSVd-1 (∼33%; 120/360; 26 sites), GLRaV-1 (∼24%; 85/360; 26 sites), and GRSPaV (∼3%; 10/360; 7 sites). All 360 samples were negative for GRBV. In pairwise comparisons, GLRaV-1 isolates from Nigeria shared 97 to 100% nucleotide (nt) and amino acid identities among themselves based on partial HSP70h and complete p24 sequences. The nearly complete genome (18,689 nt) of one GLRaV-1 isolate was determined and it shared 76.5 to 94.5% identity with other fully sequenced GLRaV-1 isolates. The results revealed a simpler virome of Nigerian vineyards and underscore the need to strengthen phytosanitary measures and promote propagation of clean plant materials for vineyard establishment in Nigeria to forestall the introduction of additional viruses and viroids. [Formula: see text] Copyright © 2023 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .
Evidence-Based Classroom Observation Technique: An Interdisciplinary, Structured Approach to Classroom Observation
Authors: Perkins Connie J. 
Published: December 2022

Abstract
Classroom observation is commonplace in higher education, but the process itself varies from school to school. A literature search revealed a lack of structured tools and universal interdisciplinary processes for postsecondary classroom observation. Thus, the Evidence-Based Classroom Observation Technique was developed to include both the tool and the interdisciplinary process.
JBI's approach to evidence implementation: a 7-phase process model to support and guide getting evidence into practice
Authors: Porritt Kylie , McArthur Alexa , Lockwood Craig , Munn Zachary 
Published: December 2022

ABSTRACT
In this paper, we provide an overview of JBI's approach to evidence implementation and describe the supporting process model that aligns with this approach. The central tenets of JBI's approach to implementing evidence into practice include the use of evidence-based audit and feedback, identification of the context in which evidence is being implemented, facilitation of any change, and an evaluation process. A pragmatic and practical seven-phased approach is outlined to assist with the ‘planning’ and ‘doing’ of getting evidence into practice, focusing on clinicians as change agents for implementing evidence in clinical and policy settings. Further research and development is required to formally evaluate the robustness of the approach to better understand the complex nature of evidence implementation.
(How) Do we theorize?A focused mapping review and synthesis of theoretical nursing research in the German-speaking area of Europe
Authors: Eppel-Meichlinger Jasmin , Cartaxo Ana , Clement Theresa , Hirt Julian , Wallner Martin , Mayer Hanna 
Published: December 2022

ABSTRACTIntroductionAlthough nursing has made significant progress in establishing as an academic discipline in the German-speaking area, discussions in the scientific community are increasing about lack of theory dynamics. Theories in nursing provide foundational knowledge that guides actions in nursing practice, research, and education. However, nursing research has not yet been systematically investigated against this background. Our aim was to obtain an overview of the theoretical research landscape in nursing in the German-speaking countries of Europe.MethodWe conducted a focused mapping review and synthesis. The focus was on nursing journals articles with an explicit theory-related aim, published between 2016 and 2021 in German or English language and with a contribution of at least one author affiliated with an institution in the German-speaking area of Europe.FindingsWe identified 32 out of 1419 (2%) publications in nursing journals that met the eligibility criteria. Most theoretical work involved an inductive approach (n=21), with eleven papers intending to test or further develop an existing theory. Grounded theory (n=10) and conceptual analyses (n=6) were mainly referred to as the underlying methodological approach. We identified illness experience (n=8) and self-management (n=7) as the most frequently addressed phenomena. Theory-related results were predominantly theoretical models (n=13). The level of abstraction was mainly situation specific (n=20).ConclusionsThe proportion of publications with a theory-related aim was low. Theory-building efforts are heterogeneous and lack a recognizable pattern. More efforts should be made to develop empirically testable theories, to revise and synthesize existing theories on a meta-level. Therefore, researcher should focus on theorizing, i.e., on how to further develop existing theories as well as to develop new theories, rather than focusing exclusively on theories as results. For this purpose, nursing researchers should be properly educated in theorizing. Nursing professors have a crucial role to defy the demands of the current research mainstream and provide appropriate structures to learn and to continually practice theoretical thinking and theorizing.
Gene Expression Analysis of Patients with Prostate Cancer vs Benign Prostate Hyperplasia
Authors: Saeedi Mahdi 
Published: December 2022

AbstractProstate cancer is associated with nearly 4% of all cancer-related deaths in men. To better understand the types of genes that are highly expressed in patients with prostate cancer and benign prostate hyperplasia, this study analyzes the raw gene expressions of 36 patients. And compares expressions of prostate epithelial stem cells vs. prostate epithelial transit amplifying cells. 1347 differentially expressed genes were found in prostate epithelial stem cells, and 71 differentially expressed genes were found in prostate epithelial transit amplifying cells. Genes USP10 and SOCS3 were found to be differentially expressed and are found to be associated with prostate cancer.