bluuebunny/crossref_metadata_2025_split huggingface dataset:
The relationship between smartphone addiction and sleep among medical students: A systematic review and meta-analysis
Authors: Leow Mabel Qi He , Chiang Joelle , Chua Tiffany Jia Xuan , Wang Sean , Tan Ngiap Chuan 
Published: September 2023

ObjectivesThis systematic review aimed to evaluate the association between smartphone addiction and sleep in medical students. The secondary outcomes included the prevalence of smartphone addiction, duration and purpose of its use, prevalence of poor sleep, duration and quality of sleep.MethodsThe authors searched PubMed, Cochrane Library, Embase, PsycINFO and CINAHL databases, from inception of each database to October 2022. Quantitative studies in the English language on smartphone addiction and sleep in students studying Western Medicine were included. The Rayyan application was used for title-abstract screening, and Joanna Briggs Institute (JBI) critical appraisal checklist to assess the risk of bias. Heterogeneity tests and meta-synthesis of data were performed using the meta-package in R software. Data on the activities used on the smartphone was synthesized qualitativelyResultsA total of 298 abstracts were initially assessed for inclusion eligibility: 16 of them were eventually appraised, covering 9466 medical students comprising 3781 (39.9%) males and 5161 (54.5%) females. Meta-correlation between the Smartphone Addiction Scale Short Version (SAS-SV) and Pittsburgh Sleep Quality Index (PSQI) was 0.30 (95%CI = 0.24–0.36), and 0.27 (95% CI = 0.18–0.36) for SAS-SV and sleep duration. The meta-analytic estimation of smartphone addiction prevalence was 39% (95%CI = 0.30–0.50), and score using SAS-SV was 31.11 (95%CI = 29.50–32.72). The mean duration of smartphone daily used was 4.90 hours (95%CI = 3.72–6.08). The meta-analytic estimation on prevalence of poor sleep was 57% (95%CI = 0.48–0.66), and the meta-mean of PSQI and duration of sleep was 5.95 (95%CI = 4.90–7.00) and 5.62h (95%CI = 4.87–6.36) respectively. Medical students used their smartphones mostly for text messaging, followed by photo-sharing or social networking. Its usage for medical education remains unclear.ConclusionThe prevalence of poor sleep and smartphone addiction in medical students was 57% and 39% respectively, with a correlation index of 0.30. Medical students commonly used the smartphone for text-messaging, photo-sharing or social networking, averaging 4.9 hours daily.
The use and acceptability of preprints in health and social care settings: A scoping review
Authors: Blatch-Jones Amanda Jane , Recio Saucedo Alejandra , Giddins Beth 
Published: September 2023

Background
Preprints are open and accessible scientific manuscript or report that is shared publicly, through a preprint server, before being submitted to a journal. The value and importance of preprints has grown since its contribution during the public health emergency of the COVID-19 pandemic. Funders and publishers are establishing their position on the use of preprints, in grant applications and publishing models. However, the evidence supporting the use and acceptability of preprints varies across funders, publishers, and researchers. The scoping review explored the current evidence on the use and acceptability of preprints in health and social care settings by publishers, funders, and the research community throughout the research lifecycle.

Methods
A scoping review was undertaken with no study or language limits. The search strategy was limited to the last five years (2017–2022) to capture changes influenced by COVID-19 (e.g., accelerated use and role of preprints in research). The review included international literature, including grey literature, and two databases were searched: Scopus and Web of Science (24 August 2022).

Results
379 titles and abstracts and 193 full text articles were assessed for eligibility. Ninety-eight articles met eligibility criteria and were included for full extraction. For barriers and challenges, 26 statements were grouped under four main themes (e.g., volume/growth of publications, quality assurance/trustworthiness, risks associated to credibility, and validation). For benefits and value, 34 statements were grouped under six themes (e.g., openness/transparency, increased visibility/credibility, open review process, open research, democratic process/systems, increased productivity/opportunities).

Conclusions
Preprints provide opportunities for rapid dissemination but there is a need for clear policies and guidance from journals, publishers, and funders. Cautionary measures are needed to maintain the quality and value of preprints, paying particular attention to how findings are translated to the public. More research is needed to address some of the uncertainties addressed in this review.
Agricultura urbana como estratégia de enfrentamento da fome e para o desenvolvimento da Cidade Sustentável
Authors: Fraga Lima Tailana , Girotti Sperandio Ana Maria 
Published: September 2023

As transformações que moldaram a sociedade moderna deram bases para a formação de uma sociedade de consumo, com a adoção de novos estilos de vida, comportamentos e hábitos alimentares. Nos últimos anos, as condições de vida e saúde da população têm ganhado destaque em âmbito internacional, devido ao aumento da insegurança alimentar no Brasil. Por meio do levantamento bibliográfico e documental com análise de dados secundários e natureza descritiva qualitativa, a pesquisa investiga, de forma sistêmica, os desafios na alimentação da população brasileira com o consumo excessivo de alimentos ultraprocessados. O estudo discute a relação da agricultura no espaço urbano como elemento de readequação da alimentação e insegurança alimentar no território. Neste contexto, foi observado que a agricultura urbana permite reverberações que colaboram tanto para resolução de problemas de saúde pública, como a fome, quanto para a utilização de espaços urbanos. A ocupação de locais subutilizados e ociosos na cidade para o desenvolvimento de hortas fomenta a promoção de espaços urbanos integrados com transformações em hábitos e comportamentos alimentares e estão alinhadas ao planejamento urbano para uma cidade saudável.
A conceptual model for enabling sustainable management of soil-sediment-water ecosystems in support of European policy
Authors: Brils Jos , Maring Linda 
Published: September 2023

Abstract
The health of soil-sediment-water ecosystems is under pressure from economic activities and a changing climate. This decreases health and hampers the service provision capacity of these ecosystems and thus impacts human well-being. Protecting and where feasible restoring of ecosystem health has currently become the key European environmental policy objective and for this it is needed to take an entire system approach and engage stakeholders. ‘Entire’ means that soil, sediment and water are regarded as closely interlinked environmental matrices that need to be managed by taking a ‘river (or mountain) to sea’ perspective, crossing spatial, discipline, political and cultural boundaries. This paper presents a conceptual model to support that purpose. Essentially, the conceptual model presents an approach for ecosystem-based management aimed to achieve healthy ecosystems, i.e. soil-sediment-water ecosystems that have the continued capacity to support ecosystem services to the benefit of their users. The model proposes a cyclic (iterative, learning-by-doing) approach and integrates soil-sediment-water, ecosystems, ecosystem services, users (stakeholders), pressures, information, management strategy and program of measures as building blocks. To successfully apply the model, it is above all needed to take an entrepreneurial approach, i.e. leave comfort zones, take an adventurous road, learn together to manage together, be adaptive and consider other than only command-and-control solutions. Furthermore, authorities should become facilitative leaders to engage users in co-creation of an ecosystem-based management strategy. Real live and place-based experimenting with multiple stakeholders, such as in the Living Labs and Lighthouses that are proposed in the EU soil mission, may provide an ideal instrument for such application, i.e. where the conceptual model can be used and support the achievement of European environmental policy objectives.
Karakteristik Kadar Air, Kadar Serat dan Rasa Beras Analog Ubi Jalar Putih dengan Penambahan Tepung Labu Kuning
Authors: Handayani Dian , Nurwantoro Nurwantoro , Pramono Yoyok Budi 
Published: September 2023

Penelitian ini bertujuan untuk mengetahui pengaruh penambahan tepung labu kuning pada proses pembuatan beras analog berbasis ubi jalar putih terhadap kadar air, kadar serat, organoleptik rasa. Data hasil pengujian kandungan kadar air, kadar serat dan organoleptik. Analisis kandungan kadar air dan kadar serat dijelaskan secara Deskriptif. Parameter uji organoleptik dianalisis menggunakan non parametrik Kruskall-Wallis dengan taraf signifikansi 5% dan apabila terdapat pengaruh maka akan dilanjutkan dengan uji Mann-Whitney. Hasil yang diperoleh menunjukkan bahwa penambahan tepung labu kuning berpengaruh (p<0,05) terhadap meningkatnya kadar air, kadar serat. Uji organoleptik menunjukkan bahwa penambahan tepung labu kuning berpengaruh terhadap rasa beras analog.This study discusses the pumpkin flour in the process of making white sweet potato analog rice based on air content.fiber content.organoleptic taste.Data from the test results of air content. fiber content and organoleptics. Descriptive. Organoleptic test parameters were analyzed using Kruskall-Wallis non parametric with a significance level of 5% and needed to solve them with the Mann-Whitney test. The results obtained show how to obtain pumpkin flour which has been proven to be significant (p <0.05) on water content.fiber content. Organoleptic tests which showed pumpkin flour proved to be analogous to the taste of analog rice.
The Story of AWS Glue
Authors: Saxena Mohit , Sowell Benjamin , Alamgir Daiyan , Bahadur Nitin , Bisht Bijay , Chandrachood Santosh , Keswani Chitti , Krishnamoorthy G. , Lee Austin , Li Bohou , Mitchell Zach , Porwal Vaibhav , Chappidi Maheedhar Reddy , Ross Brian , Sekiyama Noritaka , Zaki Omer , Zhang Linchi , Shah Mehul A. 
Published: September 2023

AWS Glue is Amazon's serverless data integration cloud service that makes it simple and cost effective to extract, clean, enrich, load, and organize data. Originally launched in August 2017, AWS Glue began as an extract-transform-load (ETL) service designed to relieve developers and data engineers of the undifferentiated heavy lifting needed to load databases, data warehouses, and build data lakes on Amazon S3. Since then, it has evolved to serve a larger audience including ETL specialists and data scientists, and includes a broader suite of data integration capabilities. Today, hundreds of thousands of customers use AWS Glue every month.
In this paper, we describe the use cases and challenges cloud customers face in preparing data for analytics and the tenets we chose to drive Glue's design. We chose early on to focus on ease-of-use, scale, and extensibility. At its core, Glue offers serverless Apache Spark and Python engines backed by a purpose-built resource manager for fast startup and auto-scaling. In Spark, it offers a new data structure --- DynamicFrames --- for manipulating messy schema-free semi-structured data such as event logs, a variety of transformations and tooling to simplify data preparation, and a new shuffle plugin to offload to cloud storage. It also includes a Hivemetastore compatible Data Catalog with Glue crawlers to build and manage metadata, e.g. for data lakes on Amazon S3. Finally, Glue Studio is its visual interface for authoring Spark and Python-based ETL jobs. We describe the innovations that differentiate AWS Glue and drive its popularity and how it has evolved over the years.
Techniques and Efficiencies from Building a Real-Time DBMS
Authors: Srinivasan V. , Gooding Andrew , Sayyaparaju Sunil , Lopatic Thomas , Porter Kevin , Shinde Ashish , Narendran B. 
Published: September 2023

This paper describes a variety of techniques from over a decade of developing Aerospike (formerly Citrusleaf), a real-time DBMS that is being used in some of the world's largest mission-critical systems that require the highest levels of performance and availability. Such mission-critical systems have many requirements including the ability to make decisions within a strict real-time SLA (milliseconds) with no downtime, predictable performance so that the first and billionth customer gets the same experience, ability to scale up 10X (or even 100X) with no downtime, support strong consistency for applications that need it, synchronous and asynchronous replication with global transactional capabilities, and the ability to deploy in any public and private cloud environments.
We describe how using efficient algorithms to optimize every area of the DBMS helps the system achieve these stringent requirements. Specifically, we describe, effective ways to shard, place and locate data across a set of nodes, efficient identification of cluster membership and cluster changes, efficiencies generated by using a 'smart' client, how to effectively use replications with two copies replication instead of three-copy, how to reduce the cost of the realtime data footprint by combining the use of memory with flash storage, self-managing clusters for ease of operation including elastic scaling, networking and CPU optimizations including NUMA pinning with multi-threading. The techniques and efficiencies described here have enabled hundreds of deployments to grow by many orders of magnitude with near complete uptime.
Dznep, a histone modification inhibitor, inhibits HIF1α binding to TIMP2 gene and suppresses TIMP2 expression under hypoxia
Authors: Yamazaki Tomotaka , Mimura Imari , Kurata Yu , Tanaka Tetsuhiro , Nangaku Masaomi 
Published: September 2023

AbstractEpidemiological studies have shown that patients who recovered from acute kidney injury (AKI) may subsequently develop chronic kidney disease (CKD). AKI is primarily caused by renal hypoxia, and it causes epigenetic alterations, known as hypoxic memory. 3‐Deazaneplanocin A (Dznep), an inhibitor of histone modification, suppresses renal fibrosis and the expression of tissue inhibitor of metalloproteinases‐2 (TIMP2), a profibrotic factor, in mouse ischemia–reperfusion models. The current study investigated the epigenetic regulation of TIMP2 in human kidney 2 (HK‐2) cells. The expression of TIMP2 was upregulated in HK‐2 cells under hypoxic conditions and was suppressed by Dznep. ChIP‐qPCR showed that Dznep reduced the amount of H3K4me3 at the promoter region of the TIMP2 gene under hypoxic condition. Formaldehyde‐assisted isolation of regulatory elements‐qPCR of the TIMP2 gene showed that Dznep reduced open chromatin area. In addition, based on ChIP‐qPCR of hypoxia‐inducible factor 1 alpha (HIF1α), Dznep inhibited the binding of HIF1α to the TIMP2 gene under hypoxic conditions. The reporter assays for the binding region of HIF1α showed enhanced transcriptional activity by hypoxia. Dznep suppresses the expression of TIMP2 under hypoxic conditions by inhibiting the binding of HIF1α to the TIMP2 gene.
The Macroeconomic Effects of a UBI: A Review of Existing Evidence and Approaches
Authors: Chrisp Joe 
Published: September 2023

Abstract
Research on UBI has blossomed in recent years, with a particular focus on conducting experiments with policies that share features with a UBI, microsimulation analysis and public opinion surveys. However, a common drawback with many of these approaches is the difficulty with examining ‘general equilibrium’ or ‘community’ effects. Macroeconomic modelling is one tool used to explore these more difficult questions of what would happen if a UBI was implemented at the national level. In this paper, a review of existing analysis of the macroeconomic effects of a UBI offers an insight into the assumptions, approaches and results of these studies and how these are interlinked. Recommendations are made to increase the diversity of models used and the mechanisms and contexts explored.
Where have adjectives come from in Dzongkha?
Authors: Wangdi Pema 
Published: September 2023

AbstractThis paper provides a comprehensive analysis of adjectives in Dzongkha, a Trans-Himalayan (Tibeto-Burman) language spoken in Bhutan. Several syntactic and morphological properties serve to differentiate adjectives from other word classes. Syntactic properties include the ability of adjectives to directly modify the head noun in a noun phrase (NP), to be modified by an intensifier in the copula complement function, and to serve as the parameter of comparison in comparative constructions. They also include the inability of adjectives to form a complete NP or an intransitive predicate, to function as the possessor and the possessed in possessive constructions, and to occur in cleft-focus constructions. Morphological properties include comparative and superlative markings, as well as the inability of adjectives to take the markers of grammatical categories typically associated with verbs, such as tense, aspect, modality, causative derivation, imperative mood, and negation; or the markers of grammatical categories typically associated with nouns, such as gender, augmentative and diminutive, and case and number. This study is anticipated to cast light on the status of adjectives in other closely related Trans-Himalayan languages.
Kant on First-Person Speech and Personhood
Authors: Ehrsam Raphaël 
Published: September 2023

AbstractKant stresses the presence, in all languages, of first-person formulas. In theAnthropology, § 1, he argues (i) that the use of ‘I’ (or any other linguistic form referring to the speaker) makes the human being “a person”, and (ii) that the use of the first-person pronoun enables the child to “think herself”. In the present paper, I claim that, in order to understand those assertions, first-person linguistic formulas should not be construed as mere expressions of an infra-discursive self-awareness; for Kant after 1781, such formulas actually contribute to making self-awareness possible.
Kant on Propositional Content and Knowledge
Authors: Wang Lewis 
Published: September 2023

AbstractThis paper explores Kant’s account of propositional content and its implications for the relationship between his notions of knowledge (Wissen) and cognition (Erkenntnis). While previous commentators commonly read Kant as holding a Fregean theory of propositional content, in this paper I argue that Kant’s theory of propositional content aligns more closely with Peter Hanks’ recent account. According to my reading, Kant holds that individual acts of judging are both ontologically and explanatorily prior to propositions or Kantian judgments (Urteil). Furthermore, on my reading, acts of judging for Kant are acts of assertively predicating a property of an object rather than merely acts of neutral predication. This reading challenges the lately popular view that Kant’s notions of knowledge and cognition are not only distinct but also disjunct. I instead suggest that we should regard Kantian knowledge that requires cognitions as its grounds as a species of Kantian cognitions.
Compression with wildcards: All exact or all minimal hitting sets
Authors: Wild Marcel 
Published: September 2023

Abstract
Our objective is the compressed enumeration (based on wildcards) of all minimal hitting sets of general hypergraphs. To the author’s best knowledge, the only previous attempt towards compression, due to Toda, is based on binary decision diagrams and much different from our techniques. Traditional one-by-one enumeration schemes cannot compete when the number of minimal hitting sets is large and the degree of compression is high. Our method works particularly well in these two cases: either compressing all minimum cardinality hitting sets, or compressing all exact hitting sets.
Nanostructured boron agents for boron neutron capture therapy: a review of recent patents
Authors: Zhang Xiyin , Lin Yusheng , Hosmane Narayan S. , Zhu Yinghuai 
Published: September 2023

Abstract
Boron neutron capture therapy (BNCT) is a potential radiation therapy modality for cancer, and tumor-targeted stable boron-10 (10B) delivery agents are an important component of BNCT. Currently, two low-molecular-weight boron-containing compounds, sodium mercaptoundecahydro-closo-dodecaborate (BSH) and boronophenylalanine (BPA), are mainly used in BNCT. Although both have suboptimal tumor selectivity, they have shown some therapeutic benefit in patients with high-grade glioma and several other tumors. To improve the efficacy of BNCT, great efforts have been devoted for the development of new boron delivery agents with better uptake and favorable pharmacokinetic profiles. This article reviews the application and research progress of boron nanomaterials as boron carriers in boron neutron capture therapy and hopes to stimulate people’s interest in nanomaterial-based delivery agents by summarizing various kinds of boron nanomaterial patents disclosed in the past decade.
Inorganic hydrogels: synthetic strategies, properties and applications
Authors: Parfenyuk Elena V. , Dolinina Ekaterina S. 
Published: September 2023

Abstract
Hydrogels are widely used in various areas of human life. The vast majority of hydrogel materials used are polymer-based. Despite a number of advantages compared to polymer-based materials, studies on inorganic hydrogels are very limited and scattered. They are rarely offered as a basis for development of new functional materials. This review is an attempt to draw attention of researches to inorganic hydrogels. It describes currently existing methods for the synthesis of such hydrogels, their properties, and shows possible applications of the hydrogel materials.
Velocity-Based Training—A Critical Review
Authors: Guppy Stuart N. , Kendall Kristina L. , Haff G. Gregory 
Published: September 2023

ABSTRACT
Velocity-based training (VBT) is an increasingly popular programming strategy used by strength and conditioning professionals to develop their athlete's ability to express force rapidly. To implement the varying forms of VBT effectively within their training regimes, strength and conditioning professionals need to understand the strengths and weaknesses of strategies, such as predicting 1 repetition maximum using the load-velocity profile, modulating training loads using the load-velocity profile, and controlling training volume using the magnitude of velocity-loss. The aim of this review was to highlight these strengths and weaknesses and then provide practical examples of when each programming strategy may be most effectively implemented.