bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hashed Access Policy-Based Secure Data Transmission Using SDHAK-ECC
Authors: Sikka Prateek 
Published: January 2023

Cloud computing (CC), which provides numerous benefits to customers, is a new revolution in information technology. The benefits are on-demand, support, scalability, along with reduced cost usage of computing resources. However, with the prevailing techniques, the system’s authentication is still challenging and it leads to being vulnerable. Thus, utilizing Barrel Shift-centric Whirlpool Hashing-Secure Diffie Hellman ASCII Key-Elliptic Curve Cryptography (BSWH-SDHAK-ECC), the hashed access policy (AP)-grounded secure data transmission is presented in this paper. The data owner (DO) registers their information initially. The user login and verify their profile grounded on the registration. The user selects the data to upload to the Cloud Server (CS) after successful verification. The AP is created; after that, the image attributes are extracted; also, utilizing the BSWH approach, a hash code is produced for the AP. Concurrently, by utilizing the Adaptive Binary Shift-based Huffman Encoding (ABSHE) technique, the selected image is compressed. Also, by utilizing the SDHAK-ECC algorithm, the compressed image is encrypted. Lastly, to the CS, the created AP along with the encrypted image is uploaded. The data user sent the request to access and downloads the data. After that, the AP was provided to the user by the data owner. Next, the user sends it to the CS, which checks its AP with the user’s AP. When the AP is matched with the cloud AP, the encrypted data is downloaded and decrypted. Finally, the experimental outcomes revealed that the proposed model achieved a higher security value of 0.9970 that shows the proposed framework’s efficient performance in contrast to the prevailing techniques.
EFFECTIVE NONSURGICAL MANAGEMENT OF EARLY OSTEOARTHRITIS OF THE KNEE JOINT IN A TERTIARY CARE HOSPITAL — A PROSPECTIVE SINGLE-BLIND RANDOMIZED COMPARATIVE STUDY
Authors: Mruthyunjaya  , Singh Sumith Pal , Sundaresh Srikanth , Adarsh T. 
Published: January 2023

Purpose: Osteoarthritis (OA) is a complex disease of joints presenting with pain, swelling, stiffness, crepitus, deformation and limitation of function. There are both conservative and surgical modes of treatment for OA. This study is done to compare the therapeutic efficacy of intra-articular ozone, platelet-rich plasma (PRP) and 25% dextrose in the treatment of OA of the knee joint in early stages.Methods: A total of 120 patients with symptomatic Kellgren and Lawrence grade 2 and 3 of knee OA were studied. They were randomized into three groups and each group received three doses of intra-articular injections of either ozone or PRP or 25% dextrose at intervals of 2 weeks. Patients were advised physiotherapy and analgesics were avoided. Western Ontario and McMaster Universities Arthritis Index and Visual Analog Score for pain were used to evaluate the clinical outcomes for 6 months.Results: Ozone provided significant relief from pain and improved functionality but was short-lived. PRP and 25% dextrose results were slower initially but gave better results for a longer duration.Conclusion: Conservative treatment with intra-articular injections has promising results in the treatment of OA. This can be used in patients who are not willing or not fit for surgery.
Transient Deformation of Anisotropic Timoshenko’s Plate
Authors: Serdyuk Dmitry O. , Fedotenkov Gregory V. 
Published: January 2023

In this paper, we will present an approach to constructing of dynamical spatial Green’s function (elementary solutions, dominant function) for a thin infinite elastic plate of constant thickness. The plate material is anisotropic with a single plane of symmetry, geometrically coinciding with plate’s middle plane. The Timoshenko theory was used for describing the plate movement. Transient spatial Green’s functions for normal displacements and angles of orthogonal alteration to middle surface before deformation of material fiber are built in the Cartesian coordinate system. To construct Green’s function, direct and inverse Laplace and Fourier integral transformations are applied. The originals of Laplace Green’s functions were analytically found with the theorem of residues. To construct Fourier originals, a specific method was used based on Fourier series transformation inversion integral connection with Fourier series on a variable interval. Green’s function found for normal displacement made it possible to represent the normal transient function as three-fold convolution of Green function with distant load function. The functions of normal distant displacements were constructed in case of the impact of transient total loads concentrated and distributed across rectangular courts. The numerical method of rectangles was used to calculate the convolution integrals. The influence of the concentrated load speed on transient normal displacements of the anisotropic plate was analyzed. As a verification of constructed transient spatial Green’s functions, the results of numerical solutions were compared with the results found using known transient Green’s functions for isotropic thin elastic rectangular simply supported Timoshenko’s plate which solutions are constructed using Laplace integral transformation in time and its decomposition into Fourier series on coordinates. Besides, its confidence was proved analyzing the nature of waves in anisotropic, orthotropic and isotropic plate, found in the process of numerical calculations. The results are represented as diagrams. Examples of calculations are given.
USP48 Stabilizes Gasdermin E to Promote Pyroptosis in Cancer
Authors: Ren Yidan , Feng Maoxiao , Hao Xiaodong , Liu Xiaoyan , Li Juan , Li Peilong , Gao Jie , Qi Qiuchen , Du Lutao , Wang Chuanxin , Wang Qin , Wang Yunshan 
Published: January 2023

AbstractPyroptosis is a type of programmed cell death characterized by the activation of inflammatory caspases and the cleavage of gasdermin proteins. Pyroptosis can suppress tumor development and induce antitumor immunity, and activating pyroptosis is a potential treatment strategy for cancer. To uncover approaches to harness the anticancer effects of pyroptosis, we aimed to identify regulators of pyroptosis in cancer. A CRISPR-Cas9 screen identified that loss of USP48, a deubiquitinating enzyme, significantly inhibited cell pyroptosis. USP48 promoted pyroptosis by stabilizing gasdermin E (GSDME). USP48 bound GSDME and removed K48-linked ubiquitination at positions K120 and K189. Clinical tissue testing confirmed that the expression of USP48 positively correlated with GSDME and pyroptosis-related factors. Single-cell sequencing showed that the functions of T cells and tumor-associated macrophages in the tumor microenvironment were inhibited after USP48 knockout. Finally, overexpression of USP48 enhanced the therapeutic efficacy of programmed cell death protein 1 inhibitors in tumors in mouse models. Together, these findings define a pyroptosis regulation pathway and indicate that pharmacologic activation of USP48 may provide an effective strategy to sensitize cancer cells to pyroptosis and improve response to immunotherapy.Significance:USP48 promotes pyroptosis by deubiquitinating GSDME and enhances antitumor immunity, indicating that increasing USP48 activity may be a future therapeutic strategy for treating cancer.
Mouse IgG2a Isotype Therapeutic Antibodies Elicit Superior Tumor Growth Control Compared with mIgG1 or mIgE
Authors: Vukovic Natasa , Segués Aina , Huang Shuyu , Waterfall Martin , Sijts Alice J.A.M. , Zaiss Dietmar M. 
Published: January 2023

In the last decades, antibody-based tumor therapy has fundamentally improved the efficacy of treatment for patients with cancer. Currently, almost all tumor antigen–targeting antibodies approved for clinical application are of IgG1 Fc isotype. Similarly, the mouse homolog mIgG2a is the most commonly used in tumor mouse models. However, in mice, the efficacy of antibody-based tumor therapy is largely restricted to a prophylactic application. Direct isotype comparison studies in mice in a therapeutic setting are scarce. In this study, we assessed the efficacy of mouse tumor-targeting antibodies of different isotypes in a therapeutic setting using a highly systematic approach. To this end, we engineered and expressed antibodies of the same specificity but different isotypes, targeting the artificial tumor antigen CD90.1/Thy1.1 expressed by B16 melanoma cells. Our experiments revealed that in a therapeutic setting mIgG2a was superior to both mIgE and mIgG1 in controlling tumor growth. Furthermore, the observed mIgG2a antitumor effect was entirely Fc mediated as the protection was lost when an Fc-silenced mIgG2a isotype (LALA-PG mutations) was used. These data confirm mIgG2a superiority in a therapeutic tumor model.Significance:Direct comparisons of different antibody isotypes of the same specificity in cancer settings are still scarce. Here, it is shown that mIgG2a has a greater effect compared with mIgG1 and mIgE in controlling tumor growth in a therapeutic setting.
The Power of Kataragama: From “Hotspot” to “Cold Spot”?
Authors: Frydenlund Iselin 
Published: January 2023

Abstract
This article explores the multiethnic and multireligious sacred place of Kataragama (Tamil: Kathirkamam) located at the southeast corner of Sri Lanka. For the devotees, Kataragama’s main attraction is the god Skanda, also known by many other names, for example Murukan, Kataragama Deviyo, or Mahasena. Kataragama attracts people from all ethnic and religious communities, as well as from all social strata in Sri Lankan society. Using Marianne Qvortrup Fibiger’s notion of “religious hotspots” as a starting point, this article analyzes how the “thaumaturgical power” of Kataragama forms the basis for the coexistence of multiple religious systems within the defined space of the sacred city. This coexistence, however, is under constant pressure from exclusionary nationalist and political forces. This transformation is analyzed with reference to the recent decades of Sinhala Buddhist politics of public space to “restore” Sri Lanka to dhammadipa, that is, sacred Buddhist territory. This raises questions about the possible loss of “thaumaturgical power,” as Kataragama is moving from having “ontic” multireligious qualities to “epistemic” qualities along majoritarian lines.
Mechanisms Used by Multinational Oil Companies to Derail Human Rights and Environmental Litigations Arising from the Niger Delta
Authors: Ochei Nkem Violet , Ezeani Elimma C. , Anderson Craig 
Published: January 2023

Abstract
Multinational oil companies (MNOCs) usually claim that they have several obligations to protect human rights and the environment where they operate and to resolve any disputes with local communities arising from their operations in the shortest possible time. However, the combative approach taken by MNOCs (e.g. several interlocutory appeals, challenging the legal standing of plaintiffs) during human rights and environmental litigations undermines these obligations because it continually denies, delays, and derails justice for the local communities. The aim of this paper is to discuss the mechanisms used by MNOCs to derail human rights and environmental litigations arising from the Niger Delta. This paper uses a comparative legal approach combined with a cross-case analysis of a selection of transnational litigations to highlight several mechanisms that fall into eight (8) categories related to oil operations – transparency, disclosure, bribery and corruption, labour/employee rights, safety and security, delays in litigations, pollution, remediation and compensation. The paper concludes that mechanisms used by MNOCs (e.g., Shell), as indicated in recent ligations arising from the Niger Delta, are at odds with their human rights obligations, thus affecting effective remedies for the people whose human rights have allegedly been affected by corporate conduct.
The Isotopic Composition of Rainfall on a Subtropical Mountainous Island
Authors: Torri Giuseppe , Nugent Alison D. , Popp Brian N. 
Published: January 2023

Abstract
Tropical islands are simultaneously some of the most biodiverse and vulnerable places on Earth. Water resources help maintain the delicate balance on which the ecosystems and the population of tropical islands rely. Hydrogen and oxygen isotope analyses are a powerful tool in the study of the water cycle on tropical islands, although the scarcity of long-term and high-frequency data makes interpretation challenging. Here, a new dataset is presented based on weekly collection of rainfall H and O isotopic composition on the island of O‘ahu, Hawai‘i, beginning from July 2019 and still ongoing. The data show considerable differences in isotopic ratios produced by different weather systems, with Kona lows and upper-level lows having the lowest δ2H and δ18O values, and trade-wind showers the highest. The data also show significant spatial variability, with some sites being characterized by higher isotope ratios than others. The amount effect is not observed consistently at all sites. Deuterium excess shows a marked seasonal cycle, which is attributed to the different origin and history of the air masses that are responsible for rainfall in the winter and summer months. The local meteoric water line and a comparison of this dataset with a long-term historical record illustrate strong interannual variability and the need to establish a long-term precipitation isotope monitoring network for Hawai‘i.

Significance Statement
The isotopic composition of water is often used in the study of island water resources, but the scarcity of high-frequency datasets makes the interpretation of data difficult. The purpose of this study is to investigate the isotopic composition of rainfall on a mountainous island in the subtropics. Based on weekly data collection on O‘ahu, Hawai‘i, the results improve our understanding of the isotopic composition of rainfall due to different weather systems, like trade-wind showers or cold fronts, as well as its spatial and temporal variability. These results could inform the interpretation of data from other mountainous islands in similar climate zones.
The Nonstationary Flood Hydrology of an Urbanizing Arid Watershed
Authors: Yu Guo , Miller Julianne J. , Hatchett Benjamin J. , Berli Markus , Wright Daniel B. , McDougall Craig , Zhu Zhihua 
Published: January 2023

Abstract
The Las Vegas metropolitan area in Nevada has experienced extensive urban growth since 1950 coincident with regional and local climate change. This study explores the nonstationary flood history of the Las Vegas Wash (LVW) watershed by deconstructing it into its constituent physical drivers. Observations and reanalysis products are used to examine the hydroclimatology, hydrometeorology, and hydrology of flash flooding in the watershed. Annual peak flows have increased nonlinearly over the past seven decades, with an abrupt changepoint detected in the mid-1990s, which is attributed to the implementation of flood conveyance systems rather than changes in land use. The LVW watershed exhibits two pronounced flood seasons, associated with distinct synoptic atmospheric circulations: winter floods linked to inland-penetrating atmospheric rivers and summer floods linked to the North American monsoon. El Niño–Southern Oscillation also plays a role in modulating extreme rainfall and the resultant floods because annual maximum daily rainfall totals positively correlate with El Niño, with Spearman’s correlation coefficient of 0.36 (p value < 0.05). Winter maximum daily rainfall totals have increased since 1950, whereas summer daily rainfall maxima have decreased. The trends in hydrometeorological drivers interact with urbanization to shift flood seasonality toward more frequent winter floods in the LVW watershed. A process-based understanding of the flood hydrology of the watershed also provides insights into flood frequency analysis and flood forecasting.
On the Decadal and Multidecadal Variability of the Agulhas Current
Authors: Zhang Ruize , Sun Shantong , Chen Zhaohui , Yang Haiyuan , Wu Lixin 
Published: January 2023

Abstract
The Agulhas Current (AC) is a critical component of global ocean circulation. However, due to a lack of multidecadal observations, it is not clear how the AC has changed in response to anthropogenic forcing. A recent observational study suggests a broadening and slight weakening of the AC in the past few decades, while others suggest a strengthening of the AC during the historical period. In this paper, we find substantial internal variability of the AC on decadal to multidecadal time scales in high-resolution models. We show that the AC consistently exhibits two modes of decadal and multidecadal (i.e., low frequency) variability in a series of high-resolution climate models: a uniform mode that is largely associated with changes in the AC strength and a dipole mode that is mainly related to width changes of the AC. We demonstrate that the uniform mode is mainly forced externally by the decadal variations of the wind field and presents a decline under global warming, suggesting a weakening of the AC in response to anthropogenic forcing. The dipole mode, on the other hand, is mainly due to internal dynamics and does not show a trend during the historical period. Using a quasigeostrophic model that captures the dipole mode, we attribute the dipole mode to low-frequency potential vorticity changes in the western boundary, driven by a divergence of relative potential vorticity due to eddy activity. Thus, our results present further context for the interpretation of the AC responses in a changing climate based on a short observational record.
Skillful Extended-Range Forecast of Rainfall and Extreme Events in East China Based on Deep Learning
Authors: Xie Jiehong , Hsu Pang-Chi , Hu Yamin , Ye Mengxi , Yu Jinhua 
Published: January 2023

Abstract
The extended-range forecast with a lead time of 10–30 days is the gap between weather (<10 days) and climate (>30 days) predictions. Improving the forecast skill of extreme weather events at the extended range is crucial for risk management of disastrous events. In this study, three deep learning (DL) models based on the methods of convolutional neural networks and gate recurrent units are constructed to predict the rainfall anomalies and associated extreme events in East China at lead times of 1–6 pentads. All DL models show skillful prediction of the temporal variation of rainfall anomalies (in terms of temporal correlation coefficient skill) over most regions in East China beyond 4 pentads, outperforming the dynamical models from the China Meteorological Administration (CMA) and the European Centre for Medium-Range Weather Forecasts (ECMWF). The spatial distribution of the rainfall anomalies is also better predicted by the DL models than the dynamical models; and the DL models show higher pattern correlation coefficients than the dynamical models at lead times of 3–6 pentads. The higher skill of DL models in predicting the rainfall anomalies will help to improve the accuracy of extreme-event predictions. The Heidke skill scores of the extreme rainfall event forecast performed by the DL models are also superior to those of the dynamical models at a lead time beyond about 4 pentads. Heat map analysis for the DL models shows that the predictability sources are mainly the large-scale factors modulating the East Asian monsoon rainfall.

Significance Statement
Improving the forecast skill for extreme weather events at the extended range (10–30 days in advance), particularly over populated regions such as East China, is crucial for risk management. This study aims to develop skillful models of the rainfall anomalies and associated extreme heavy rainfall events using deep learning techniques. The models constructed here benefit from the capability of deep learning to identify the predictability sources of rainfall variability, and outperform the current operational models, including the ECMWF and the CMA models, at forecast lead times beyond 3–4 pentads. These results reveal the promising application prospect of deep learning techniques in the extended-range forecast.
Classifying Social Adaptation Practices to Heat Stress—Learning from Autonomous Adaptations in Two Small Towns in Germany
Authors: Teebken Julia , Mitchell Nicole , Jacob Klaus , Heimann Thorsten 
Published: January 2023

Abstract
Climate change adaptation planning and implementation have proliferated over the past years. However, we still lack an understanding of how society adapts itself outside of policy sectors and as part of what some refer to as “autonomous adaptation.” The way people respond to risk without deliberate interventions of public actors is not well understood. Given the increasing occurrence of climatic changes that affect our daily lives, the topic is regaining attention with an emphasis on behavioral adaptation. This angle, however, does little to enhance our understanding of how society adapts collectively and which practices and routines groups choose to adopt. This study investigates autonomous heat-stress adaptation efforts in two small towns in Germany. Autonomous heat-stress adaptation is approached through a lens of (social) adaptation practices. Small towns are understudied in adaptation research and have played only a minor role when it comes to public adaptation planning due to their lack of formal resources to develop public adaptation strategies. Based on empirical data, consisting of qualitative problem-centered interviews and a quantitative survey, concrete examples of (social) adaptation practices are identified and classified. The presented classification of practices goes beyond earlier attempts by generating insights on the role politics can play in providing a fruitful ground for enabling autonomous adaptation. The paper emphasizes the need for researchers and decision-makers to take a closer look at the wide variety of social adaptation practices already in place. This discloses insights on public–private adaptation mixes, which could ultimately also lift autonomous adaptation from its ad hoc and reactive nature.

Significance Statement
Social adaptation practices are not yet at the center of research and decision-making. We believe that adding practice-based approaches to adaptation governance widens the debate on who is vulnerable and possible coping mechanisms from within society. It shows that vulnerability and adaptation lie in people’s everyday actions. We provide a first classification of heat-health adaptation practices according to their heat-health target, the involved individuals and actors, the degree of coordination involved, and the spatial and temporal scales. This classification draws attention to potential governance leverage points to initiate heat-adaptation practices. Focusing more strongly on already-in-use and possible heat-health adaptation practices puts citizens’ wants and needs at the center of adaptation governance by including them directly in the adaptation process. This can be of special interest for small towns that want to introduce citizen-based approaches to heat-risk adaptation.