bluuebunny/crossref_metadata_2025 huggingface dataset:
Association of thyroidstimulating hormone, prolactin and leptin with metabolic status in young women 25-44 years old in Western Siberia
Authors: Mustafina S. V. , Alferova V. I. , Voevoda S. M. , Denisova D. V. , Scherbakova L. V. , Stakhneva E. M. , Rymar O. D.
Published: April 2023

AIM: To study anthropometric, biochemical and hormonal characteristics of women aged 25-44 with different levels of thyroid- stimulating hormone, prolactin and leptin.MATERIALS AND METHODS: From a representative sample of the young population of the Oktyabrsky district of Novosibirsk aged 25-44 years (840 women), a group of women (n=655) was selected to study cardiometabolic and hormonal parameters. The design of the study was a cross-sectional, observational, single-centre study. All participants underwent determination of anthropometric parameters (weight, measurement of waist circumference (WC) and hips (HC), calculation of BMI), systolic and diastolic blood pressure (SBP, DBP), biochemical parameters (total cholesterol (TC), high-density lipoprotein cholesterol ( HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), fasting plasma glucose (FPG), creatinine, calculation of glomerular filtration rate (GFR).Statistical processing was carried out using the SPSS-13 package.RESULTS: The study included 655 women, mean age 36.3±5.4 years, mean BMI 25.0±5.7 kg/m2. Young women showed direct associations of TSH with HC (r=0.115, p<0.05), TG (r=0.145, p<0.010) and inverse association with GFR (r=-0.129, p<0.05). PRL is inversely associated with HC (r=-0.109, p<0.05). Of all the studied hormones, leptin is most associated with anthropometric and biochemical parameters in young women. Thus, leptin is directly associated with WC (r=0.562, p<0.0001), HC (r=0.589, p<0.0001), WC/HC index (r=0.309, p<0.0001), BMI ( r=0.582, p<0.0001), as well as levels of SBP (r=0.293, p<0.0001), DBP (r=0.274, p<0.0001), TC (r=0.123, p=0.018), TG (r=0.234, p<0.0001), FPG (r=0.150, p=0.004), inversely related to HDL-C (r=-0.225, p<0.0001).CONCLUSION: The metabolic status of women aged 25-44 is associated with the level of TSH, leptin. It is advisable to determine TSH, leptin in young women with abdominal obesity for the purpose of dynamic monitoring and correction.
Development of SARS-CoV-2 atypical thyroiditis in a patient with severe COVID-19
Authors: Kolpakova E. A. , Voznesenskaya А. А. , Metreveli E. A. , Nikankina L. V. , Troshina E. A.
Published: April 2023

The novel coronavirus infection SARS-CoV-2 (COVID-19) has gone down in history as one of the deadliest pandemics in history. Since the first reports of SARS-CoV-2 infection, a lot of data has appeared regarding the features of the COVID-19 pathogenesis and the effect of the virus on various organs and tissues. It is known that SARS-CoV-2 can cause both pulmonary and systemic inflammation, causing multiple organ dysfunction. In addition, since the beginning of the pandemic, reports of the relationship between COVID-19 and thyroid dysfunction have continued to emerge. Numerous studies have demonstrated that the thyroid gland and the entire hypothalamus-pituitary-thyroid axis can be significant targets for the pathogenic effects of SARS-CoV-2.The classic thyroid dysfunctions in infectious diseases, also described in COVID-19, are subacute thyroiditis and secondary hypothyroidism. Of particular interest is the development of atypical thyroiditis-SARS-CoV-2 against the background of COVID-19, a condition first recorded during COVID-19, associated with formidable cardiovascular complications and high mortality in patients with COVID-19, not previously encountered in other viral infections.This article describes a clinical case of SARS-CoV-2 atypical thyroiditis in a patient with bilateral viral pneumonia in the acute period of COVID-19.
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-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases
Authors: Cha Hokeun , Hao Xiangpeng , Wang Tianzheng , Zhang Huanchen , Akella Aditya , Yu Xiangyao
Published: April 2023

High-speed data ingestion is critical in time-series workloads that are driven by the growth of Internet of Things (IoT) applications. We observe that traditional tree-based indexes encounter severe scalability bottlenecks for time-series workloads that insert monotonically increasing timestamp keys into an index; all insertions go to a small memory region that sees extremely high contention.

In this work, we present a new index design,

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-hash, that enhances a tree-based index with hash leaf nodes to mitigate the contention of monotonic insertions --- insertions go to random locations within a hash node (which is much larger than a B+-tree node) to reduce conflicts. We develop further optimizations (median approximation and lazy split) to accelerate hash node splits. We also develop structure adaptation optimizations to dynamically convert a hash node to B+-tree nodes for good scan performance. Our evaluation shows that

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-hash achieves up to 91.3× higher throughput than conventional indexes in a time-series workload that monotonically inserts timestamps into an index, while showing comparable scan performance to a well-optimized B+-tree.
Differentially Private Vertical Federated Clustering
Authors: Li Zitao , Wang Tianhao , Li Ninghui
Published: April 2023

In many applications, multiple parties have private data regarding the same set of users but on disjoint sets of attributes, and a server wants to leverage the data to train a model. To enable model learning while protecting the privacy of the data subjects, we need vertical federated learning (VFL) techniques, where the data parties share only information for training the model, instead of the private data. However, it is challenging to ensure that the shared information maintains privacy while learning accurate models. To the best of our knowledge, the algorithm proposed in this paper is the first practical solution for differentially private vertical federated
k
-means clustering, where the server can obtain a set of global centers with a provable differential privacy guarantee. Our algorithm assumes an untrusted central server that aggregates differentially private local centers and membership encodings from local data parties. It builds a weighted grid as the synopsis of the global dataset based on the received information. Final centers are generated by running any
k
-means algorithm on the weighted grid. Our approach for grid weight estimation uses a novel, light-weight, and differentially private set intersection cardinality estimation algorithm based on the Flajolet-Martin sketch. To improve the estimation accuracy in the setting with more than two data parties, we further propose a refined version of the weights estimation algorithm and a parameter tuning strategy to reduce the final
k
-means loss to be close to that in the central private setting. We provide theoretical utility analysis and experimental evaluation results for the cluster centers computed by our algorithm and show that our approach performs better both theoretically and empirically than the two baselines based on existing techniques.
Cloud Analytics Benchmark
Authors: van Renen Alexander , Leis Viktor
Published: April 2023

The cloud facilitates the transition to a service-oriented perspective. This affects cloud-native data management in general, and data analytics in particular. Instead of managing a multi-node database cluster on-premise, end users simply send queries to a managed cloud data warehouse and receive results. While this is obviously very attractive for end users, database system architects still have to engineer systems for this new service model. There are currently many competing architectures ranging from self-hosted (Presto, PostgreSQL), over managed (Snowflake, Amazon Redshift) to query-as-a-service (Amazon Athena, Google BigQuery) offerings. Benchmarking these architectural approaches is currently difficult, and it is not even clear what the metrics for a comparison should be.

To overcome these challenges, we first analyze a real-world query trace from Snowflake and compare its properties to that of TPC-H and TPC-DS. Doing so, we identify important differences that distinguish traditional benchmarks from real-world cloud data warehouse workloads. Based on this analysis, we propose the Cloud Analytics Benchmark (CAB). By incorporating workload fluctuations and multi-tenancy, CAB allows evaluating different designs in terms of user-centered metrics such as cost and performance.
Dotori: A Key-Value SSD Based KV Store
Authors: Duffy Carl , Shim Jaehoon , Kim Sang-Hoon , Kim Jin-Soo
Published: April 2023

Key-value SSDs (KVSSDs) represent a major shift in the storage stack design, with numerous potential benefits. Despite this, their lack of native features critical to operation in real world scenarios hinders their adoption, and these benefits go unrealized. Moreover, simply adapting existing key-value stores to run on KVSSDs proves underwhelming, as KVSSDs operate at lower raw device performance when compared to modern block SSDs.

This paper introduces Dotori. Dotori is a KVSSD based key-value store that provides much needed functionality in a KVSSD through an upper layer in the host, and takes advantage of the unique KVSSD interface to enable further gains in functionality and performance. At the core of Dotori is a novel B+tree design that is only practical when the underlying storage device is a KVSSD.

We test Dotori with an enterprise grade KVSSD against state-of-the-art block SSD based key-value stores through a range of micro-benchmarks and real world workloads. Despite low KVSSD raw device performance, Dotori achieves superior performance to these block-device based key-value stores while also showing significant gains in other important metrics.
A history of medicine for patient: patient subjectivity and the change of historiography of medicine
Authors: Wang Yifang , Yao Liang
Published: April 2023

Patient’s voice has become louder in recent years. It is a statement of illness, disability, near-death experience, and a cry from the weak, which reveals rich and multiple aspects of patient's physical diseases and mental pain. The groans of patients should not only be treated as reference for decision-making in clinical diagnosis and treatment, but need to be marked down as a voice of the weak in the history of medicine. However, the reality is this voice often stays as physician’s medical records than writings in history of medicine. The mainstream of medical history focuses on how doctors cure diseases, while ignores the role of patients. At times in history of medicine, it was patient’s illness challenged traditional medical theories, provided new perspectives to diagnosis and treatment, and corrected mistakes and prejudice of physicians. Yet, patients benefited very little in the process. Although a few patients miraculously recovered, more became experimental subjects and victims of medicine (Perino L. Patients Zéro: Histoires inversées de la médecine (Chinese edition). France: La Découverte; 2020). Tracing the change of the understanding on patient subjectivity in history of medicine, this paper aims to call for a rise of history of medicine centered on patients.
Misreading of Political Discourse During Transcultural Communication
Authors: He Kun
Published: April 2023

Misreading of political discourse has attracted increasing scholarly attention. However, little research has been conducted to clarify the conceptualization and investigate the mechanisms of political discourse misreading during transcultural communication. To address this gap, the present study analyzed the China–US talks in Alaska and the Belt and Road Initiative discourse based on Hall’s “encoding–decoding” model and using the critical discourse analysis method. The analysis identified three types of misreading in transcultural communication. Cultural misreading refers to interpreting another culture in light of its cultural presuppositions, cultural traditions, and ways of thinking. Oppositional misreading consciously decodes messages by adopting an opposed logic and antagonistic interpretation as a result of differentiated political, economic, and cultural stances. Accidental misreading refers to unconsciously misinterpreting political discourse by accident. This study aims to advance our understanding of political discourse by revealing its misreading mechanisms and providing additional insights for future interdisciplinary research in the fields of political communication, transcultural studies, and applied linguistics.
A Mereological Study of Lowe’s Constituting Parthood Theory
Authors: Sciacca Giulio
Published: April 2023

Late Lowe’s metaphysics of material objects is an interesting multi-thingist theory that still attracts interest from various authors. The core idea is that ifxmaterially constitutesy, thexis a proper part ofy. I discuss some mereological issues that arise from the approach and propose a revision of the mereology associated. Particularly, I examine the tenability of a number of supplementation principles and conclude that just one may serve the theory adequately. Still, the endorsement of such a principle does not come for free. Successively, I address the derivability of an important extensionality theorem and conclude that the theorem must be taken as an axiom in the mereology at stake. Lastly, I discuss two notable definitions of mereological fusions to assess which one best suits the present theory. The result is that authors sharing Lowe’s multi-thingist conception of material objects can still enjoy a moderately strong mereology.
In Search of a Schema in a Joyfully Serious Life: Robert Bellah, the Cold War, Psychoanalysis, and Intimate Experimentations
Authors: Bortolini Matteo
Published: April 2023

A rejoinder to comments by Amy Borovoy, Chad Alan Goldberg, Arvind Rajagopal, and Joan W. Scott on my book, A Joyfully Serious Man. I begin with a brief narrative of how I came to write the book and how I worked on it with the help of many different people. I then move to the place of psychoanalysis in the book, my analysis of Bellah’s early positioning in Cold War social science, and a few questions regarding American culture, religion, and politics. The article ends with a few remarks on my current research on the life and work of Clifford Geertz.
Global modeling of the socioeconomic, political, and environmental relations of farmer seed systems (FSS): Spatial analysis and insights for sustainable development
Authors: Zimmerer Karl S. , Vanek Steven J. , Baumann Megan Dwyer , van Etten Jacob
Published: April 2023

Accessible, high-quality seed is vital to the agricultural, food, and nutrition sovereignty needed for justice-based sustainable development. Multiregion, interdisciplinary research on farmers’ seed systems (FSS) can complement case-based and thematic approaches. This study’s goals are to (1) provide a synthetic overview of current major FSS concepts; (2) design and evaluate a novel social- and political-ecological model of FSS using globally representative data from mountain agricultural areas of Africa, Asia, and Latin America; (3) model and evaluate FSS relations to socioeconomic, political, and environmental factors including main food crops (rice, wheat, maize, potato, and common bean); (4) generate new spatial, geographic, and demographic estimates; and (5) strengthen FSS for justice-based sustainable development of agriculture, land use, and food systems. The conceptual framework of FSS-related factors guided the global modeling of data from 11 countries in Africa, Asia, and Latin America. A multiple regression model explained FSS utilization (R2 = 0.53, P < 0.0001), specifying the significant inverse relations to mean farm area (strong), per-capita Gross Domestic Product at the district level (strong), and urban distance (moderate). FSS showed strong positive relations to aridity and topographic ruggedness. FSS were positively related to elevation in a 5-country Andean subsample. Results estimated FSS utilization by 136 million farmers within the 11 countries. Novel insights to strengthen FSS policies and programs are the importance of FSS to extremely small farm-area subgroups and other distinct FSS stakeholders, global-region geopolitical distinctness of FSS-farm area relations, multidistrict FSS concentrations that enable extralocal FSS spatial connectivity, FSS capacities in climate-change hot spots, and high FSS encompassing periurban areas. Policy-relevant results on global geographic and demographic extensiveness of FSS and key spatial, socioeconomic, political, and environment relations demonstrate that globally FSS are key to supporting agrobiodiversity, agroecology, nutrition, and the sustainability of food systems. These advise strengthening FSS through pro-poor and linked urban-rural policies at regional scales in addition to expanding local initiatives.
Lingüística de corpus utilizada en la concepción de plataformas de formación de docentes de lenguas
Authors: Molina Mejía Jorge Mauricio
Published: April 2023

In this article we present a study about corpus annotation, created in order to establish a Computer Assisted Language Learning system. This system is intended to the linguistic training of future French as a Foreign Language teachers in Colombian universities. We have a tagged corpora using Natural Language Processing methods for the morphological and syntactic aspects, and manual annotations to aim at the notions studied by text linguistics. The result of these annotations provide a serie of activities that are taken into account for ELiTe-[FLE]² informatic system. Those activities look for the improvement of the linguistic level of the Colombian training students through the study of linguistic notions contextualised in the texts.
A description of Dialogic Units/Discourse Markers in spontaneous speech corpora based on phonetic parameters
Authors: Raso Tommaso , Vieira Marcelo A.
Published: April 2023

In this paper we propose a different way to face the notion of Discourse Markers (DM), based on prosodic features and using data from spontaneous speech corpora. We show how it is possible to predict DMs through prosodic parameters if we use corpora segmented into tone and information units. We will also show that DMs with different functions feature different prosodic profiles that are the formal counterpart of function in speech. Besides this, we will present the result of a first attempt of a statistical test, and discuss the limits and perspectives of the proposal. Finally, we will present a detailed description of four different DMs.
One or Two: How Many Species of the Genus Pyrrhocorax (Passeriformes, Corvidae) Inhabited the Crimea During the Late Pleistocene?
Authors: Gorobets L. , Kovalchuk О. , Ridush B.
Published: April 2023

The article provides an overview of bird remains assigned to the genus Pyrrhocorax Tunstall, 1771 from nine cave sites of Late Pleistocene and Early Holocene age within the Crimean Peninsula (Ukraine). A large sample of chough bones from the Emine-Bair-Khosar Cave (722 bones) is processed and the results obtained are presented here for the first time. Re-identification of the remains revealed the presence of the Alpine chough Pyrrhocorax graculus in the studied region instead of two species of the genus Pyrrhocorax as previously believed. The material processed was assigned to an extinct subspecies – Pyrrhocorax graculus vetus – based on a series of measurements taken from various skeletal elements (in particular, coracoideum, humerus, ulna, radius, carpometacarpus, femur, tibiotarsus, and tarsometatarsus). The previous assumptions of the coexistence of two chough species in the Crimea during the Late Pleistocene made it possible to consider climate in this region as relatively warm. Our results indirectly revealed that the climate of the Crimean Peninsula at the verge of the Late Pleistocene and Holocene was rather cool and therefore unsuitable for the red-billed chough.
Fulminant Myocarditis: When One Size Does Not Fit All – A Critical Review of the Literature
Authors: Giordani Andrea Silvio , Baritussio Anna , Vicenzetto Cristina , Peloso-Cattini Maria Grazia , Pontara Elena , Bison Elisa , Fraccaro Chiara , Basso Cristina , Iliceto Sabino , Marcolongo Renzo , Caforio Alida Linda Patrizia
Published: April 2023

Fulminant myocarditis, rather than being a distinct form of myocarditis, is instead a peculiar clinical presentation of the disease. The definition of fulminant myocarditis has varied greatly in the last 20 years, leading to conflicting reports on prognosis and treatment strategies, mainly because of varied inclusion criteria in different studies. The main conclusion of this review is that fulminant myocarditis may be due to different histotypes and aetiologies that can be diagnosed only by endomyocardial biopsy and managed by aetiology-directed treatment. This life-threatening presentation requires rapid, targeted management both in the short term (mechanical circulatory support, inotropic and antiarrhythmic treatment and endomyocardial biopsy) and in the long term (including prolonged follow-up). Fulminant presentation has also recently been identified as a risk factor for worsened prognosis, even long after the resolution of the acute phase of myocarditis.
Play, Pain and Religion: Creating Gestalt through Kink Encounter
Authors: Robertson Alison
Published: April 2023

Play, Pain and Religion is the first consideration of the practices associated with BDSM (bondage, domination, sadism and masochism) in the context of religious studies scholarship. The focus is an exploration of BDSM experience as it emerges from the complex interactions of kink activities and relationship. Experiences categorised by BDSM practitioners as ‘religious’ and ‘spiritual’ are commonly described in the same terms, and given the same value, as descriptions of experiences which are not so categorised. Play, Pain and Religion examines practitioner accounts of BDSM experience alongside those practitioners’ personal identification with these terms. This book argues that the significance of a given experience is not located solely within any intrinsic quality ascribed to it but in subsequent constructions around the nature and meaning of the event. It examines some such constructions, moving away from absolute definitions of religion or religions to consider the religious as an active process of meaning-, world- and story-making. By using this ‘religioning’ framework, this book examines ways in which BDSM can potentially be used in such processes. Play, Pain and Religion is a valuable resource for scholars of religion and of kink, for people interested in the complexities of ascribing meaning and value to human behaviour, and for kinksters interested in their own kink and why it is they do what they do.
Physicochemical evaluation of Prinsepia utilis seed oil (PUSO) and its utilization as a base in pharmaceutical soap formulation
Authors: Pandey Jitendra , Acharya Srijana , Bagale Rakshya , Gupta Akriti , Chaudhary Pooja , Rokaya Bikash , Manju K.C. , Aryal Pramod , Devkota Hari Prasad
Published: April 2023

This study aims to evaluate the standard physicochemical parameters, such as iodine value, acid value, saponification value, ester value, refractive index, peroxide value, and viscosity, of Prinsepia utilis (P. utilis) seed oil (PUSO) obtained as hexane extract from seeds, and to formulate ketoconazole soap (2% w/w) by using extracted oil as a base. The quality control standards of the final ketoconazole soap complied with the standards specified in Indian Pharmacopeia. Pharmaceutical soap was obtained by treating PUSO with potassium hydroxide (KOH), undergoing basic saponification. All physicochemical parameters, such as acid value (21.78 mg KOH/g), saponification value (194.13 mg KOH/g), iodine value (99.7 g I2/100 g), ester value (172.35 mg KOH/g), refractive index (1.464), and viscosity (192 centipoises [cps]), conformed to industrial standards, except the peroxide value (19.23 milliequivalent KOH/g). Besides, evaluation of quality control parameters of pharmaceutical soap suggested that its various parameters, such as pH (7.3), foam-forming ability (14.5 cm), foam retention time (15 min), total fatty matter (69.31%), moisture content (10.35%), and drug content (99.37%), were within the acceptable limit. Overall, our study showed that P. utilis base was physicochemically stable and suitable for manufacturing cosmetic products, soaps, and shampoo in an economical manner, rather than using expensive chemical additives, in the pharmaceutical and cosmeceutical industry. Further, this study suggested that therapeutically and commercially successful ketoconazole soap, with all the required quality control parameters, could be manufactured by using naturally available oil at a low cost.
NUMERICAL STUDY OF THE PERFORMANCE OF HEAT PIPE-BASED THERMAL MANAGEMENT SYSTEM FOR POWER LITHIUM BATTERY
Authors: Li Peisheng , Zeng Qi , Ma Ming , Zhang Ying , Ke Zhaoqing , Wu Wei
Published: April 2023

The power battery thermal management system (BTMS) is a key component of an electric vehicle (EV) thermal management system. In this paper, a novel heat pipe-based temperature control system for power batteries is devised for a cylindrical battery pack. In this system, the battery is wrapped in an aluminum sleeve with heat pipes attached to the outside, and heat is removed from the heat pipe's evaporative end by the coolant. Effects of four different arrangements of heat pipes on the thermal properties of BTMS under different inlet flow conditions are studied numerically. The results show that when the flow rate reaches a certain value, the temperature of the battery module no longer decreases and even rises. Finally, based on the comprehensive consideration of energy consumption and cooling performance, the optimal heat pipe arrangement is concluded for the battery in different discharge rate scenarios. In conclusion, the cooling method of heat pipe plus liquid cooling can effectively control the battery temperature, and the temperature homogeneity of the system can be well improved by adjusting the position of the heat pipe arrangement. When the cell heat generation is 0.65 W/cell, the overall temperature difference of the battery pack is reduced by 15% by optimizing the heat pipe arrangement, and when the cell heat generation is 2 W/cell, the overall temperature difference is reduced by 19%.
SENSITIVITY ANALYSIS WITH CORRELATED INPUTS: COMPARISON OF INDICES FOR THE LINEAR CASE
Authors: Blanchard Jean-Baptiste
Published: April 2023

The objective of a global sensitivity analysis is to provide indices to rank the importance of each and every system
input when considering the impact on a given system output. This paper discusses a few of the methods proposed
throughout the literature when dealing with a linear model for which part of or all the input variables cannot be considered independently. The aim here is to review methods from the late 1980s in order to compare them to more recent
developments, by investigating their underlying hypothesis, cost (in term of resource usage), and results. This paper
focuses on the case where there is no assumption on the knowledge of the probability density functions, assuming that the analysis can be done from a provided sample, without the use of refined techniques which would require a dedicated surrogate model generation. After an introduction of the general problem, as often discussed in the independent approach, a review of solutions not solely relying on the variance decomposition is presented, along with their underlying hypothesis. A protocol is proposed, based on a statistical approach relying on random correlation matrix generation, to test and compare all methods with an increasingly complex, step-by-step procedure. Finally, dependencies with respect
to parameters defining the problem, such as the input space size, the sample size, and the nature of the input laws, are
tested before drawing conclusions on the methods and their usefulness.
Bank Supervision and Managerial Control Systems: The Case of Minority Lending
Authors: An Byeongchan , Bushman Robert , Kleymenova Anya , Tomy Rimmy E.
Published: April 2023

This paper investigates how bank supervisors’ enforcement decisions and orders (EDOs) influence the allocation of mortgage lending across demographic groups underlying a banks’ borrower base. Specifically, we investigate how banks’ mortgage lending to minority borrowers relative to white borrowers changes following the resolution of severe EDOs. We hypothesize that improvements in management control systems imposed by EDOs serve as channels through which EDOs affect a bank’s borrower base generally, and minority lending specifically. We empirically examine how changes in loan policies and internal governance mechanisms specified in EDOs influence banks’ mortgage lending decisions. We find that relative to white borrowers, mortgage lending to minority borrowers significantly increases following the resolution of EDOs, where this positive effect increases with the strictness of bank supervisors and severity of the EDO. Consistent with management controls serving as channels for this change, there is a more pronounced effect on minority lending when an EDO mandates improvements in lending policies and stronger internal governance over lending decisions.
Workplace Automation and Corporate Liquidity Policy
Authors: Bates Thomas W. , Du Fangfang , Wang Jessie Jiaxu
Published: April 2023

Using an occupational probability of computerization, we measure a firm’s ability to replace labor with automated capital. Our evidence suggests that the potential to automate a workforce enhances operating flexibility, allowing firms to hold less precautionary cash. To provide evidence for this mechanism, we exploit the 2011–2012 Thailand hard drive crisis as an exogenous shock to the cost of automation. In addition, the negative relation between prospective automation and cash holdings is greater for firms with a lower expected cost of worker displacement and greater labor-induced operating leverage.
An Output-oriented Approach to the Impact of Online Written Languaging on Form-Focused Writing Tasks
Authors: Pourdana Natasha
Published: April 2023

Background. Despite the growing interest of second language acquisition (SLA) researchers in the languaging process, a few studies have been done on its dynamic attributes in various writing tasks.

Purpose. This study investigated how online written languaging (WL) might impact English-as-a-Foreign-Language (EFL) learners’ performance on form-focused writing tasks with production-based and comprehension-based output orientation in Google Docs, and how the output orientation of form-focused writing tasks could determine the WL attributes of quantity and focus.

Methods. To do so, 112 Iranian EFL university students were selected and assigned to four parallel groups. In an eight-week experiment, two groups worked on gap-filling tasks (production-based) and two groups on error-identification tasks (comprehension-based) in parallel ±WL conditions.

Results. Statistical analysis indicated a significant interaction between task output orientation and WL production. So, on both production-based and comprehension-based tasks, the +WL groups outperformed the ˗WL groups. Moreover, in the +WL condition, the task output orientation determined the quantity of WL episodes, but not their focus on grammar (G-WL) and lexis (L-WL) in production-based and comprehension-based tasks. As such, the +WL group who completed the production-based tasks produced much more WL episodes than the +WL group who completed the comprehension-based tasks. Yet, both groups equally produced more L-WL episodes than G-WL episodes.

Сonclusion. The study had several implications for language teachers to maximize learning opportunities by teaching how to language in various writing tasks on online platforms. The L2 teachers are also recommended to adopt an alternative approach to translation as a form-focused writing task.
TSST v1
Authors: Bodo Heekerens Johannes
Published: April 2023

This protocol details about Trier Social Stress Test (TSST).
Small Business Moorea v1
Authors: Yang Clairey
Published: April 2023

Sustainability is a hot topic in French Polynesia. For example, the South Pacific Tourism Organization launched a Sustainable Tourism Policy Framework with goals extending to 2030. The Blue Climate Initiative, an ocean-centered environmental program, addresses sustainable projects including wave energy converters, carbon offsets, and tourist taxes. While these large-scale projects will positively impact French Polynesia, they do not empower small businesses. This excludes many locals from the green transition. By understanding the current market landscape, this protocol will address the question: What do small businesses in Moorea need to transition to more sustainable practices?
Short Essay on the Literature Review of the Service Supply Chain
Authors:   People&Global Business Association, Kim Yun-Jin , Ha Byoung-Chun , Kim Yong-Jeong
Published: April 2023

Purpose: This study aimed to examine the concrete type of service supply chain, which has been remaining on a conceptual level in previous studies. For this purpose, this study analyzed the differentiation of service supply chain, which could be hardly explained by the traditional manufacturing supply chain architecture.
Design/methodology/approach: The research method was conducted through in-depth literature review. It was intended to identify the structure and characteristics of the service supply chain through an in-depth literature review in the service and supply chain fields.
Findings: The service industry is made up of a wide range of fields and has various characteristics. The characteristics of the service industry are expected to be more diverse and complicated depending on the tangibility spectrum or servitised degree of the combination of tangible products and intangible services. According to the literature review, remarkable differences were shown between the type of the traditional manufacturing-oriented supply chain and that of the logistics service supply chain in respect of industrial architecture and direction of the entities in the supply chain.
Research limitations/implications: This study cannot suggest general service supply chain types through literature review. The reason may be that it was difficult to generalize the types of service supply chains due to the diversity of the service industry and the characteristics of services that are different from tangible products. It was also difficult to apply the methodology to scientifically distinguish service supply chain to the traditional supply chain.
Originality/value: The research results of this study on the service supply chain are meaningful in both academic and practical aspects. Academically, it provides the foundation for research on the service supply chain structure. In practice, it suggests the possibility that service companies can also use supply chain management as a business strategy.
A Comparative Study of Deep Learning Algorithms in Univariate and Multivariate Forecasting of the Malaysian Stock Market
Authors: Ab.Khalil Mohd.Ridzuan , Abu Bakar Azuraliza
Published: April 2023

As part of a financial institution, the stock market has been an essential factor in the growth and stability of the national economy. Investment in the stock market is risky because of its price complexity and unpredictable nature. Deep learning is an emerging approach in stock market prediction modeling that can learn the non-linearity and complexity of stock market data. To date, not much study on stock market prediction in Malaysia employs the deep learning prediction model, especially in handling univariate and multivariate data. This study aims to develop a univariate and multivariate stock market forecasting model using three deep learning algorithms and compare the performance of those models. The algorithm intends to predict the close price of the Malaysian stock market using the Axiata Group Berhad and Petronas Gas Berhad from Bursa Malaysia, listed in Kuala Lumpur Composite Index (KLCI) datasets. Three deep learning algorithms, Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM), are used to develop the prediction model. The deep learning models achieved the highest accuracy and outperformed the baseline models in short and long-term forecasts. It also shows that LSTM possessed the best deep learning model for the Malaysian stock market, achieving the lowest prediction error among the other models. Deep learning demonstrates the ability to handle univariate and multivariate data in preserving important information, thus forecasting the stock market. This finding is relatively significant as deep learning works well with high-dimensional datasets.
Expanding, Complementing, or Substituting Multilateralism? EU Preferential Trade Agreements in the Migration Regime Complex
Authors: Hoffmeyer-Zlotnik Paula , Lavenex Sandra , Lutz Philipp
Published: April 2023

Intense pressure for international solutions and weak support for multilateral cooperation have led the EU to increasingly rely on its strongest foreign policy tool in the pursuit of migration policy goals: preferential trade agreements (PTAs). Starting from the fragmentary architecture of the migration regime complex we examine how the relevant content of the EU PTAs relates to multilateral institutions. Depending on the constellation of policy objectives, EU competence, and international interdependence, we propose a set of hypotheses regarding the conditions under which EU bilateral outreach via PTAs expands, complements, or substitutes international norms. Based on an original dataset of migration provisions in all EU PTAs signed between 1960 and 2020, we find that the migration policy content in EU PTAs expands or complements the objectives of multilateral institutions only to a very limited extent. Instead, the predominant constellation is one of substitution in which the EU uses its PTAs to promote migration policy objectives that depart from those of existing multilateral institutions.
A Multimodal Event Catalog and Waveform Data Set That Supports Explosion Monitoring from Nevada, U.S.A.
Authors: Rodd Rebecca L. , Brogan Ronald A. , Carmichael Josh D. , Price Amanda C. , Young Chris J.
Published: April 2023

Multimodal, curated data sets and nuisance event catalogs remain rare in the explosion monitoring community relative to curated seismic data sets. The source of this relative absence is the difficultly in deploying multimodal receivers that sense the seismic, acoustic, and other modalities from multiphysics sources. We provide such a data set in this study that delivers seismic, infrasound, and electromagnetic (magnetometer) sensor records collected over a two-week period, within 255 km of a 10 ton buried chemical explosion called DAG-4 that was located at 37.1146°, −116.0693° on 22 June 2019 21:06:19.88 UTC. This catalog includes 485 seismic, seismoacoustic, and infrasound-only events that an expert analyst manually built by reviewing waveforms from 29 seismic and infrasound sensors. Our data release includes waveforms from these 29 seismic, infrasound, and seismoacoustic stations and two magnetometer stations and their station metadata. We deliver these waveforms in NNSA KB Core CSS.w format (i4) with a corresponding wfdisc table that provides the header information. We expect that this data set will provide a valuable, benchmark resource to develop signal processing algorithms and explosion monitoring methods against manual, human observations.
MCQsim: A Multicycle Earthquake Simulator
Authors: Zielke Olaf , Mai Paul Martin
Published: April 2023

Multicycle earthquake rupture simulators generate long sequences of earthquakes along predefined fault geometries for statistical analysis of earthquake recurrence and related rupture characteristics. Based on the physical approximations of long-term crustal deformation and the short-term rupture process, they can provide a deeper understanding of the inner workings of the “earthquake machine” as well as inform seismic hazard assessment by filling the observational gap between instrumental seismology and paleoseismology. With MCQsim, we introduce a multi-cycle rupture simulator that (a) can work with complex, nonplanar fault geometries and heterogenous models of fault strength, (b) includes different approximations of long-term stress accumulation, (c) incorporates elastic signal propagation velocity, (d) distinguishes between stable, conditionally stable, and unstable portions of the fault, and (e) includes postseismic relaxation and afterslip. The generated earthquake catalogs allow the identification of parameters that dominate system behavior while also providing probabilities of future ruptures based on their preceding behavior. Here, we focus on the technical aspects of how MCQsim, which is based on elastostatic dislocation theory and the boundary element method, approximates both the seismic cycle and the earthquake’s rupture process. We provide exemplary simulation outputs for verification and validation purposes.
Research on Innovation of Daily Ideological and Political Education for College Students based on Deep Learning Model
Authors: Zhang Xianwei , Zhang Yueyan
Published: April 2023

Various network information is mixed, which has a great impact education, with continuous development informatization. However, development of informatization has provided convenience for the daily ideological political education, effectively solved time and space limitation daily ideological, and sustainable development. Therefore, positively influence formation of college students' noble morality. The informatization education resources can be effectively integrated, and the utilization rate resources improved. Information resources of ideological and political education, we propose a complete block diagram of the daily ideological system of college students. First, design a complete interactive analysis questionnaire for college student’s role of daily ideological and political education. Through questionnaire survey method, the survey and statistical weight scores were conducted to analyze the proportion of each indicator. Then, the framework of education in the network environment is adopted, which includes, class tutoring learning, class interactive learning, class in-depth study, process evaluation and feedback evaluation. Learn through a period of ideological and political education. Collect data as our training corpus. Finally, the training prediction model BERT-BiLSTM-CRF-based trained. Prediction of F1 BERT-BiLSTM- CRF -based can reach 91.09%.
Is the Naples prognostic score useful for predicting heart failure mortality
Authors: Kılıç Oğuz , Suygun Hakan , Mustu Mehmet , Ozpamuk Karadeniz Fatma , Ozer Sümeyye Fatma , Senol Hande , Kaya Derya , Buber Ipek , Karakurt Ahmet
Published: April 2023

Aim    The Naples prognostic score (NPS) simultaneously evaluates inflammation and malnutrition, which are two main factors that play a role in the pathophysiology and prognosis of heart failure (HF). In this study, we aimed to examine the relationship of NPS with in-hospital mortality of hospitalized patients with a diagnosis of HF.Material and Methods    A total of 496 hospitalized HF patients included in this study. The patients were divided into two groups as deceased and living. The clinical and demographic characteristics of each patient were recorded. NPS of each patient was calculated.Results    NPS was significantly higher in the deceased group compared to the living group (3.6±0.61, 3.21±0.97, respectively; p=0.003). According to multivariate regression analysis: NPS (OR: 1.546, 95 % CI: 1.027–2.327; p=0.037), systolic blood pressure (OR: 0.976, 95 % CI: 0.957–0.995; p=0.015), and white blood cell count (OR: 1.072, 95 % CI: 1.007–1142; p=0.03) are independent predictors for in-hospital mortality in HF patients.Conclusion    This study demonstrated a strong correlation between NPS and mortality in HF. This new score can be used to predict the prognosis of HF as it shows both the level of inflammation and nutrition.
Diastolic heart failure: 20 years later. Сurrent issues of pathoge­nesis, diagnosis and treatment of heart failure with preserved LVEF
Authors: Ageev F. T. , Ovchinnikov A. G.
Published: April 2023

Relevant aspects of the pathogenesis, diagnosis, And treatment of heart failure with preserved LV EFThis review analyzes results of studies of the recent decade that focus on epidemiology, mechanisms of development, diagnostic methods, and treatments of heart failure with preserved ejection fraction (HFpEF). As expected, the prevalence of HFpEF continues to increase due to the growing contribution of comorbidities to the structure of causes for chronic heart failure (CHF), such as arterial hypertension with left ventricular hypertrophy, obesity, chronic kidney disease, as well as due to ageing of the population and decreased contributions of ischemic heart disease and myocardial infarction. Concomitant diseases are a source of low-intensity microvascular inflammation, which is currently assigned a role of a trigger mechanism eventually provoking energy deficiency, disorders of cardiomyocyte relaxation, and diffuse myocardial fibrosis. Both these processes lead to increased heart muscle rigidity and abnormally high left ventricular filling pressure (LVFP). High LVFP is associated with the development of pulmonary venous congestion and impairment of alveolar blood oxygenation, which form the clinical picture of HFpEF. Detecting high LVEF with tissue Doppler echocardiography by the E / e’ value became the instrumental basis for the HFpEF diagnostics. Recognition of inflammation and fibrosis as the key pathogenetic factors marked the main vector of modern therapy for HFpEF (anti-inflammatory and antifibrotic). The best implementation of this vector became possible with the advent of drugs from the class of angiotensin receptor and neprilysin inhibitors (ARNI), sodium-glucose cotransporter type 2 (SGLT2) inhibitors, and aldosterone antagonists. However, the efficacy of such treatments is evident only with the LV EF <60-65% while at higher values, the efficacy substantially decreases. This limitation may result from the heterogenous nature of the disease and requires more advanced methods for verification of HFpEF clinical phenotypes. Among such methods, transcriptomic, metabolomic, and proteomic approaches are considered. With the use of capabilities of the “machine learning” and the artificial intelligence, these approaches can become a new frontier in research to represent an important step towards personalized medicine for patients with HFpEF.