bluuebunny/crossref_metadata_2025_split huggingface dataset:
An approach to path movement in the diachronic study of sign languages
Authors: Napoli Donna Jo , Sanders Nathan 
Published: June 2024

Abstract
Sign languages seem not to be amenable to traditional historical reconstruction via the comparative method, making
it difficult to replicate the successes achieved in the diachronic study of spoken languages. We propose to alleviate this
difficulty with an alternative approach that draws upon nonarbitrariness and biomechanics, especially the drive for reducing
articulatory effort. We offer a demonstration of this approach, which can add confirmation to known relationships between sign
languages and new evidence in support of suspected relationships, helping to fill in a methodological gap in the diachronic study
of sign languages.
Hydrodynamic behavior of Janus particles in a finite inertial flow
Authors: Xu Jianbao , Ouyang Zhenyu , Lin Jianzhong 
Published: June 2024

Abstract
Hydrodynamic behavior of Janus particles in a finite inertial flow is studied numerically using the lattice Boltzmann method (LBM) in the range of Reynolds number 0.05 ⩽ Re⩽ 10 and swimming parameter −3 ⩽ β ⩽ 3. Some results are validated by comparing with the existing results. The effects of Re, β on the hydrodynamic behavior of Janus particles are analyzed. The results show that the velocity of a pusher (a type of Janus particles) monotonically increases with the increase of Re, while the velocity of a puller (another type of Janus particles) exhibits a non-monotonic change. At high Re, the puller is unstable and presents a lateral displacement, while the pusher remains stable. The power consumption for the pusher and puller, the hydrodynamic efficiency for the pusher increase monotonically with increasing Re, while the hydrodynamic efficiency for the puller exhibits a non-monotonic change. At low Re, the power consumption and hydrodynamic efficiency of Janus particles exhibit symmetry with the variation of surface velocity distribution. This symmetry is disrupted with the increase of Re, similar to the velocity changing with the surface angle.
A case of ocular diffuse large B-cell lymphoma unveiled through Pars Plana Vitrectomy: surgical insight and multidisciplinary management
Authors: Sharma Pareena , Tahiru Mustapha , Li Han , Bansari Asha , Baskaran Naveen 
Published: June 2024

Abstract
We present a rare case of ocular diffuse large B-cell lymphoma (DLBCL) unveiled through Pars Plana Vitrectomy in a 74-year-old immunocompromised male, highlighting the surgical insight and multidisciplinary management required for similar cases. The patient’s progressive vision impairment led to a Pars Plana Vitrectomy, which confirmed DLBCL through cytogenetic analysis. Initial intraocular rituximab treatment showed promise; however, the lymphoma’s systemic progression necessitated a shift to more aggressive chemotherapy, underscored by pleural and pericardial effusions and central nervous system involvement. This case emphasizes the critical role of surgical techniques in diagnosing ocular lymphomas and the importance of a multidisciplinary approach in managing the disease’s ocular and systemic manifestations. The complexities introduced by the patient’s immunosuppression highlight the necessity for individualized treatment strategies. This case calls for further research into ocular lymphomagenesis and exploring therapies with enhanced efficacy and reduced toxicity, and emphasizes the importance of early diagnosis in ocular DLBCL cases.
Resin-Based 90Y Tumor Dose as a Predictor of Duration of Response and Survival in Patients With Surgically Unresectable Hepatocellular Carcinoma
Authors: Kokabi Nima , Webster Linzi A. , Dabbous Howard , Shah Anand , Brandon David , Galt James , Xing Minzhi , Villalobos Alexander , Davarpanahfakhr Amir , Kappadath S. Cheenu , Schuster David M. 
Published: June 2024

Background
Personalized dosimetry improves overall survival (OS) in patients with hepatocellular carcinoma (HCC) treated with glass 90Y radioembolization. This study evaluated personalized tumor dose (TD) as a predictor of OS, progression-free survival (PFS), and local duration of response (DOR) in patients with surgically unresectable HCC treated with resin 90Y radioembolization.

Patients and Methods
This prospective, single-center, single-arm clinical trial (NCT04172714) evaluated the efficacy of scout activity of resin 90Y versus 99mTc-MAA for treatment planning. A secondary aim of this study was to evaluate personalized dosimetry as a predictor of OS, PFS, and DOR. Partition dosimetry model was utilized for nonsegmental therapies with targeted TD >200 Gy and nontumoral liver dose <70 Gy. Single compartment dose of 200 Gy was used for segmentectomies. OS, PFS, and local DOR from 90Y was estimated using Kaplan-Meier estimation with log-rank analysis used to determine predictors of prolonged survival.

Findings
Thirty patients with treatment-naive HCC and 33 tumors (19 segmental and 14 nonsegmental) were included. Overall, 18 patients underwent segmental Y90-RE and 12 underwent non-segmental/lobar therapies. The mean 90Y TD was 493 Gy. The median follow-up since enrollment into the study was 37 months. The mean OS was 32.2 months for the entire cohort. A total of 5 patients underwent orthotopic liver transplantation post 90Y and were excluded from further survival analysis. The mean OS for the remainder of the cohort was 30.1 months (median not reached). The mean TD >250 Gy resulted in prolonged mean OS and PFS. The median local DOR was 32.7 months with mean TD 330 Gy predicting prolonged DOR.

Interpretation
For patients with surgically unresectable HCC treated with resin 90Y, there is mean TD threshold predicting prolonged OS, PFS, and local DOR. Therefore, there should be further emphasis on personalized dosimetry for optimization of patient outcomes.
Imaging in Ocular Surface Squamous Cell Carcinoma: There’s More to PET/CT Than Meets the Eye
Authors: Mandava Anitha , Koppula Veeraiah , Reddy Arvind K. , Ali A. Zakir , Mallavarapu Krishna Mohan 
Published: June 2024

Abstract
A 56-year-old woman presenting with swelling, redness, and pain in the left eye, initially treated with topical therapy for conjunctival squamous neoplasia, developed visual loss with progression of swelling in the left eye over the next year. Patient was referred for imaging as she also had significant weight loss and palpable neck swellings. Whole-body 18F-FDG PET/CT revealed hypermetabolic left eye lesion; metastases in bilateral submandibular glands; cervical, mediastinal, and axillary lymph nodes; and a right lung nodule. Patient was diagnosed with ocular surface squamous cell carcinoma with metastases and started on systemic chemotherapy (cisplatin, paclitaxel, and 5-fluorouracil).
Development of a Cloud-Based IoT System for Livestock Health Monitoring Using AWS and Python
Authors: Bhaskaran Harini Shree , Gordon Miriam , Neethirajan Suresh 
Published: June 2024

ABSTRACTThe agriculture industry is currently facing significant challenges in effectively monitoring the health of livestock. Traditional methods of health monitoring are often labor-intensive, inefficient, and insufficiently responsive to the needs of modern farming. As the number of IoT devices in agriculture proliferates, issues of scalability and computational load have become prominent, necessitating efficient and scalable solutions. This research introduces a cloud-based architecture aimed at enhancing livestock health monitoring. This system is designed to track critical health indicators such as movement patterns, body temperature, and heart rate, utilizing AWS for robust data handling and Python for data processing and real-time analytics. The proposed system incorporates Narrow Band IoT (Nb IoT) technology, which is optimized for low-bandwidth, long-range communication, making it suitable for rural and remote farming locations. The architecture’s scalability allows for the effective management of varying numbers of IoT devices, which is essential for adapting to changing herd sizes and farm scales.Preliminary experiments conducted to assess the system’s performance have demonstrated its durability and effectiveness, indicating a successful integration of AWS IoT Cloud services with the deployed IoT devices. Furthermore, the study explores the implementation of predictive analytics to facilitate proactive health management in livestock. By predicting potential health issues before they become apparent, the system can offer significant improvements in animal welfare and farm efficiency. The integration of cloud computing and IoT not only meets the growing technological needs of modern agriculture but also sets a new benchmark in the development of sustainable farming practices. The findings from this research could have broad implications for the future of livestock management, potentially leading to widespread adoption of technology-driven health monitoring systems in agriculture. This would help in optimizing the health management of livestock globally, thereby enhancing productivity and sustainability in the agricultural sector.
Deep learning of SARS-CoV-2 outbreak phylodynamics with contact tracing data
Authors: Xie Ruopeng , Adam Dillon C. , Hu Shu , Cowling Benjamin J. , Gascuel Olivier , Zhukova Anna , Dhanasekaran Vijaykrishna 
Published: June 2024

AbstractDeep learning has emerged as a powerful tool for phylodynamic analysis, addressing common computational limitations affecting existing methods. However, notable disparities exist between simulated phylogenetic trees used for training existing deep learning models and those derived from real-world sequence data, necessitating a thorough examination of their practicality. We conducted a comprehensive evaluation of model performance by assessing an existing deep learning inference tool for phylodynamics, PhyloDeep, against realistic phylogenetic trees characterized from SARS-CoV-2. Our study reveals the poor predictive accuracy of PhyloDeep models trained on simulated trees when applied to realistic data. Conversely, models trained on realistic trees demonstrate improved predictions, despite not being infallible, especially in scenarios where superspreading dynamics are challenging to capture accurately. Consequently, we find markedly improved performance through the integration of minimal contact tracing data. Applying this approach to a sample of SARS-CoV-2 sequences partially matched to contact tracing from Hong Kong yields informative estimates of SARS-CoV-2 superspreading potential beyond the scope of contact tracing data alone. Our findings demonstrate the potential for enhancing deep learning phylodynamic models processing low resolution trees through complementary data integration, ultimately increasing the precision of epidemiological predictions crucial for public health decision making and outbreak control.
Phase I Dose Escalation trials in cancer immunotherapy: Modifying the Bayesian Logistic Regression Model for Cytokine Release Syndrome
Authors: Chapman-Rounds Matt , Pereira Miguel 
Published: June 2024

AbstractWe extend Bayesian Logistic Regression to model the dose-toxicity relationship in the setting of phase I dose-escalation/ dose-finding trials for cancer immunotherapies. Immunotherapy drugs are associated with Cytokine Release Syn-drome, a systemic immune system reaction that can be mitigated when initial lower doses of the drug are administered to generate immune tolerance. This changes the classic dose-finding problem of determining an optimal safe dose, to a more complex problem where the search is for both the optimal safe dose and the dose regimen that allows patients to quickly and safely reach that dose without CRS. As part of solving this methodological challenge, we show how to jointly model CRS and non-CRS toxicities, which have distinct mechanisms, while controlling for the overall toxicity rate to make dose-escalation decisions.
Translational profiling reveals novel gene expression changes in the direct and indirect pathways in a mouse model of LDOPA-induced dyskinesia
Authors: Jafri Sabika , Ghani Mahdi , Stickle Natalie , Virtanen Carl , Hazrati Lili-Naz , Visanji Naomi P. 
Published: June 2024

AbstractThe molecular mechanisms underlying L-dihydroxyphenylalanine (LDOPA) induced dyskinesia in Parkinson’s disease are poorly understood. Here we employ two transgenic mouse lines, combining translating ribosomal affinity purification (TRAP) with bacterial artificial chromosome expression (Bac), to selectively isolate RNA from either DRD1A expressing striatonigral, or DRD2 expressing striatopallidal medium spiny neurons (MSNs) of the direct and indirect pathways respectively, to study changes in translational gene expression following repeated LDOPA treatment. 6-OHDA lesioned DRD1A and DRD2 BacTRAP mice were treated with either saline or LDOPA bi-daily for 21 days over which time they developed abnormal involuntary movements reminiscent of dyskinesia. On day 22, all animals received LDOPA 40 minutes prior to sacrifice. The striatum of the lesioned hemisphere was dissected and subject to TRAP. Extracted ribosomal RNA was amplified, purified and gene expression was quantified using microarray. 195 significantly varying transcripts were identified among the 4 treatment groups. Pathway analysis revealed an overrepresentation of calcium signaling and long-term potentiation in the DRD1A expressing MSNs of the direct pathway, with significant involvement of long-term depression in the DRD2 expressing MSNs of the indirect pathway following chronic treatment with LDOPA. Several MAPK associated genes (NR4A1,GADD45G,STMN1,FOSandDUSP1) differentiated the direct and indirect pathways following both acute and chronic LDOPA treatment. However, the MAPK pathway activatorPAK1was downregulated in the indirect pathway and upregulated in the direct pathway, strongly suggesting a role forPAK1in regulating the opposing effects of LDOPA on these two pathways in dyskinesia. Future studies will assess the potential of targeting these genes and pathways to prevent the development of LDOPA-induced dyskinesia.
Procoagulant effect of phosphatidylserine exposed to extracellular vesicles, blood cells and endothelial cells in patients with aortic stenosis
Authors: Du Zhaona , Wang Haiyang , Shao Yibing , Wu Wei , Tong Dongxia , Xie Fangyu , Li Jihe , Xia Wei , Zhou Yujie 
Published: June 2024

AbstractBackgroundThe mechanism of thrombotic complications in patients with aortic stenosis (AS) is unknown. Our aim was to evaluate the levels of phosphodiesterase (PS) in blood cells, endothelial cells (ECs), and extracellular vesicles (EVs) and its procoagulant activity (PCA) in different degrees of AS.MethodsExposed PS in blood cells, ECs and EVs were analyzed by flow cytometry. PCA was evaluated by clotting time (CT), intrinsic factor Xa (FXa), extrinsic FXa, thrombin and fibrin formation assays. We also evaluated the inhibitory effects of lactadherin (Lact) and anti-tissue factor (anti-TF) on PCA in severe AS patients.ResultsOur results demonstrated that positive phosphatedylserin (PS+) with total EVs, platelet EVs (PEVs), positive tissue factor EVs (TF+EVs), and endothelial-derived EVs (EEVs) levels were significantly higher in mild to severe AS than controls. Patients with AS had significantly higher percentages of PS+red blood cells (RBCs), white blood cells (WBCs), platelets (PLTs) and ECs compared to controls. In addition, we further confirmed that PS+blood cells, ECs and EVs significantly contributed to shortened CT and dramatically increased FXa, thrombin and final fibrin generation in mild to severe AS compared to controls. Furthermore, in severe AS, lactadherin significantly inhibited PCA of PS exposure in blood cells, ECs and EVs, whereas anti-TF had no effect.ConclusionOur study revealed a previously unrecognized association between exposed PS levels on blood cells, ECs and EVs and PCA in AS. Lactadherin promises to be a new therapy by blocking PS to prevent thrombosis in AS patients.
How perceived overload leads to WeChat passive usage intention: the mediating roles of social network exhaustion and discontented feeling
Authors: Pang Hua , Liu Yanxinyue 
Published: June 2024

PurposeThe principal purposes of the research are to empirically investigate three forms of perceived overload on social media and shed light on their associations with users’ passive usage intention by contemplating the mediating influence of social network exhaustion and discontented feelings.Design/methodology/approachThis study employed a cross-sectional methodology to collect statistical data (N = 679) from WeChat users in mainland China. Primitive analysis, confirmatory factor analysis and structural equation modeling were employed to test the corresponding hypotheses.FindingsThe findings reveal that three dimensions of perceived overload influence social network exhaustion positively. In addition, communication overload and system feature overload exert positive impacts on the discontented feeling. Furthermore, it is uncovered that social network exhaustion and discontented feeling are related to passive usage intention positively.Research limitations/implicationsTheoretically, this paper offers a conceptual framework to explicate passive usage intention through elucidating social network exhaustion and the discontented feeling that arises from perceived overload in contemporary social media-mediated environments. Practically, the current research has certain realistic implications for WeChat users and SNS operators.Originality/valueProbing what triggers people’s passive usage intention of social media has been an emerging theme in recent years, yet there is a dearth of discourse that delves into the antecedents of WeChat users’ passive usage intention. The results obtained from the study have enhanced the understanding of the adverse consequences associated with the utilization of social media in mainland China.
Revisiting the interest rate-investment nexus in India: fresh perspective from non-parametric analysis
Authors: Bindra Riya , Pandey Amrendra , Misra Pooja , Shettigar Jagdish 
Published: June 2024

PurposeIt is generally believed that business spending on capital expenditure tends to decrease as interest rates rise, and vice versa, this is not always the case. The previous literature produces inconclusive results vis-à-vis the interest rate and investment nexus. This study analyzes the responsiveness of investment to changes in high and low levels of interest rates in India through a quantile-based, non-parametric method utilizing annual data from 1980 to 2022.Design/methodology/approachThis study uses Quantile-on-quantile (QQ) technique proposed by Sim and Zhou (2015) to examine the impact of interest rate quantiles on quantiles of investment. In addition, long-term association and the direction of causality are estimated through the Cho et al. (2015) test of quantile cointegration and the Jeong et al. (2012) Granger causality in quantile (GCQ) test, respectively.FindingsThe empirical evidence validates that the linkage between investments and interest rate is not consistently negative and varies from quantile to quantile. The study finds a negative impact at median quantiles and a positive impact at extreme higher quantiles. Conversely, the impact at lower quantiles is negligible, which is also observed from quantile cointegration, indicating the presence of a statistically significant association above the median quantiles. Additionally, the study finds one interesting finding that there exists unidirectional causality from investment to interest rates in India rather than other way around.Research limitations/implicationsThe study provides significant implications for policymakers as it suggests that during extreme economic conditions, the effectiveness of traditional monetary policy tools to boost capital formation is restricted. Policymakers may consider alternative measures to stimulate investment during these time periods. The study additionally posits that the neoclassical theory of investment may not be readily applicable in emerging economies in its unaltered state, mostly due to the lack of well-developed financial markets.Originality/valueThere is a limited literature available on non-linear linkage between interest rates and investment. The present study adds to the existing knowledge by investigating how investment responds differently to fluctuations in interest rates, while incorporating the complete distribution of both the variables.
Organisations’ and employees’ perceptions of the impact of activity-based working on the organisational culture
Authors: Nanayakkara Kusal , Wilkinson Sara , Halvitigala Dulani 
Published: June 2024

Purpose
Challenged by the effects of organisational flexibility and high corporate real estate (CRE) costs, organisations increasingly seek flexibility and operational efficiency in their physical office layouts. This paper examines and compares how the existing organisational culture of organisations changed with the introduction of activity-based working (ABW) from the perspectives of organisations and their employees.

Design/methodology/approach
The research focused on large organisations that had introduced ABW during the period of 2012–2019 and their employees. Two surveys were implemented with the management of organisations and employees. In-depth interviews with the management were also undertaken. The research focused on three different industry sectors in Australia – financial, IT and public. The competing value framework was used to measure the dimensions of organisational culture.

Findings
Findings identify major finance, internal business, learning and growth and staff and client-oriented motives affecting organisations’ decisions to introduce ABW. Findings illustrate that the nature of workplace design has a considerable impact on organisations’ culture and can be used to leverage and change it. However, a noticeable discrepancy between the perceptions of the organisation and employees in the public and private sectors was identified, where public sector employees felt that standardised procedures still governed their actions even in ABW.

Originality/value
This research highlights that workplace designs directly influence the culture of organisations. It emphasises the importance of an in-depth examination of the behavioural and attitudinal characteristics of organisations and their employees to obtain a better understanding of how they perceive and interact in ABW layouts.