bluuebunny/crossref_metadata_2025 huggingface dataset:
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.
Koncept kontradiktornosti v trestním řízení
Authors: Pelc Vladimír
Published: September 2023

The article deals with the issue of adversarialism in relation to Czech criminal proceedings. Although it is a frequently mentioned aspect of the criminal process, adversarialism has not yet been established in Czech criminal law scholarship in the broader professional discourse. Legal practice also treats this concept rather restrainedly and selects certain partial aspects of this problem. In the Czech environment, therefore, one cannot yet speak of a doctrine of adversarialism. It is questionable whether the new Criminal Procedure Code, if adopted, could change this, since it explicitly mentions adversarialism. The author is of the opinion that adversarialism is an immanent part of every criminal process, especially criminal proceedings before the court. He considers adversarialism to be a principle which he elaborates in a broader context than is usually stated. He sees the essence of adversarialism in the legitimate clash of allegations and legal opinions, not merely in the right to be informed of the substance of oneʼs accusation and the right to comment on such an accusation. He considers the audiatur et altera pars rule to be the very minimum and unbreakable guarantee of an adversarial finding of law.
Odvolání a jeho koncepce v návrhu trestního řádu
Authors: Říha Jiří
Published: September 2023

The article is focused on the appeal as an ordinary judicial remedy against a judgment and its procedure in the draft Criminal Procedure Code. The article presents the concept of legal regulation of appeals in the draft of the new Criminal Procedure Code prepared by the Commission for the New Criminal Procedure Code. It focuses on the basic foundations of the new regulation and the most significant changes compared to the current version of the Criminal Procedure Code in force in the Czech Republic.
Vůle a její relevance pro právní filozofii
Authors: Florian Tristan
Published: September 2023

The article deals with the will and related legal issues. It first discusses the historical development of the concept of will and then looks at other issues relating to it, such as its freedom. It shows the different ways in which the definition of will has been approached, and also explains how contemporary scholarship has approached the question of its freedom. In particular, the text mentions the problem of personhood as one that is related to the question of the will in contemporary legal philosophy. To be able to grant rights to someone (whether human rights in the sense of moral rights or subjective rights in general), some theories recognize as a relevant criterion precisely the will of the agent, or also its freedom. The author argues, however, that we have neither a clearly accepted definition of the will nor a generally accepted explanation regarding its freedom. This then generally puts us on thin ice when we base theories of legal personhood or laws that affect peopleʼs lives on this concept.
Placák, Petr. Gottwaldovo Československo jako fašistický stát
Authors: Maršálek Pavel
Published: September 2023

Book review on Placák, Petr. Gottwaldovo Československo jako fašistický stát. Litomyšl – Praha: Paseka – Ústav pro studium totalitních režimů, 2015, 192 s.
Z vědeckého života: zpráva z mezinárodní vědecké konference Opravné systémy a opravné prostředky v trestním řízení
Authors: Mulák Jiří , Fleková Marta
Published: September 2023

Conference Report
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.
Big Data Analytic Toolkit: A General-Purpose, Modular, and Heterogeneous Acceleration Toolkit for Data Analytical Engines
Authors: Li Jiang , Xie Qi , Ma Yan , Ma Jian , Ji Kunshang , Zhang Yizhong , Zhang Chaojun , Chen Yixiu , Wu Gangsheng , Zhang Jie , Yang Kaidi , He Xinyi , Shen Qiuyang , Tao Yanting , Zhao Haiwei , Jiao Penghui , Zhu Chengfei , Qian David , Xu Cheng
Published: September 2023

Query compilation and hardware acceleration are important technologies for optimizing the performance of data processing engines. There have been many works on the exploration and adoption of these techniques in recent years. However, a number of engines still refrain from adopting them because of some reasons. One of the common reasons claims that the intricacies of these techniques make engines too complex to maintain. Another major barrier is the lack of widely accepted architectures and libraries of these techniques, which leads to the adoption often starting from scratch with lots of effort. In this paper, we propose Intel Big Data Analytic Toolkit (BDTK), an open-source C++ acceleration toolkit library for analytical data processing engines. BDTK provides lightweight, easy-to-connect, reusable components with interoperable interfaces to support query compilation and hardware accelerators. The query compilation in BDTK leverages vectorized execution and data-centric code generation to achieve high performance. BDTK could be integrated into different engines and helps them to adapt query compilation and hardware accelerators to optimize performance bottlenecks with less engineering effort.
ScalarDB: Universal Transaction Manager for Polystores
Authors: Yamada Hiroyuki , Suzuki Toshihiro , Ito Yuji , Nemoto Jun
Published: September 2023

This paper presents ScalarDB, a universal transaction manager that achieves distributed transactions across multiple disparate databases. ScalarDB provides a database-agnostic transaction manager on top of its database abstraction; thus, it achieves transactions spanning various databases without depending on the transactional capability of underlying databases. ScalarDB is based on several research works and extended to provide a strong correctness guarantee (i.e., strict serializability), further performance optimizations, and several critical mechanisms for productization. In this paper, we describe the design and implementation of ScalarDB. We also present evaluation results showing that ScalarDB achieves database-spanning transactions with reasonable performance and near-linear scalability without sacrificing correctness. Finally, we share some case studies and lessons learned while building and running ScalarDB.
MagicScaler: Uncertainty-Aware, Predictive Autoscaling
Authors: Pan Zhicheng , Wang Yihang , Zhang Yingying , Yang Sean Bin , Cheng Yunyao , Chen Peng , Guo Chenjuan , Wen Qingsong , Tian Xiduo , Dou Yunliang , Zhou Zhiqiang , Yang Chengcheng , Zhou Aoying , Yang Bin
Published: September 2023

Predictive autoscaling is a key enabler for optimizing cloud resource allocation in Alibaba Cloud's computing platforms, which dynamically adjust the
Elastic Compute Service
(ECS) instances based on predicted user demands to ensure Quality of Service (QoS). However, user demands in the cloud are often highly complex, with high
uncertainty
and
scale-sensitive
temporal dependencies, thus posing great challenges for accurate prediction of future demands. These in turn make autoscaling challenging---autoscaling needs to properly account for demand uncertainty while maintaining a reasonable trade-off between two contradictory factors, i.e., low instance running costs vs. low QoS violation risks.

To address the above challenges, we propose a novel predictive autoscaling framework
MagicScaler
, consisting of a Multi-scale attentive Gaussian process based predictor and an uncertainty-aware scaler. First, the predictor carefully bridges the best of two successful prediction methodologies---multi-scale attention mechanisms, which are good at capturing complex, multi-scale features, and stochastic process regression, which can quantify prediction uncertainty, thus achieving accurate demand prediction with quantified uncertainty. Second, the scaler takes the quantified future demand uncertainty into a judiciously designed loss function with stochastic constraints, enabling flexible trade-off between running costs and QoS violation risks. Extensive experiments on three clusters of Alibaba Cloud in different Chinese cities demonstrate the effectiveness and efficiency of
MagicScaler
, which outperforms other commonly adopted scalers, thus justifying our design choices.
Time Series Data Mining: A Unifying View
Authors: Keogh Eamonn
Published: September 2023

Time series data are ubiquitous; large volumes of such data are routinely created in scientific, industrial, entertainment, medical and biological domains. Examples include ECG data, gait analysis, stock market quotes, machine health telemetry, search engine throughput volumes etc. VLDB has traditionally been home to much of the community's best research on time series, with three to eight papers on time series appearing in the conference each year.

What do we want to do with such time series? Everything! Classification, clustering, joins, anomaly detection, motif discovery, similarity search, visualization, summarization, compression, segmentation, rule discovery etc. Rather than a deep dive in just one of these subtopics, in this tutorial I will show a surprisingly small set of high-level representations, definitions, distance measures and primitives can be combined to solve the first 90 to 99.9% of the problems listed above. The tutorial will be illustrated with numerous real-world examples created just for this tutorial, including examples from robotics, wearables, medical telemetry, astronomy, and (especially) animal behavior. Moreover, all sample datasets and code snippets will be released so that the tutorial attendees (and later,
readers)
can first reproduce the results demonstrated, before attempting similar analysis on their data.
Natural Language Interfaces for Databases with Deep Learning
Authors: Katsogiannis-Meimarakis George , Xydas Mike , Koutrika Georgia
Published: September 2023

In the age of the Digital Revolution, almost all human activities, from industrial and business operations to medical and academic research, are reliant on the constant integration and utilisation of ever-increasing volumes of data. However, the explosive volume and complexity of data makes data querying and exploration challenging even for experts, and makes the need to democratise the access to data, even for non-technical users, all the more evident. It is time to lift all technical barriers, by empowering users to access relational databases through conversation. We consider 3 main research areas that a natural language data interface is based on: Text-to-SQL, SQL-to-Text, and Data-to-Text. The purpose of this tutorial is a deep dive into these areas, covering state-of-the-art techniques and models, and explaining how the progress in the deep learning field has led to impressive advancements. We will present benchmarks that sparked research and competition, and discuss open problems and research opportunities with one of the most important challenges being the integration of these 3 research areas into one conversational system.
DeepVQL: Deep Video Queries on PostgreSQL
Authors: Lew Dong June , Yoo Kihyun , Nam Kwang Woo
Published: September 2023

The recent development of mobile and camera devices has led to the generation, sharing, and usage of massive amounts of video data. As a result, deep learning technology has gained attention as an alternative for video recognition and situation judgment. Recently, new systems supporting SQL-like declarative query languages have emerged, focusing on developing their own systems to support new queries combined with deep learning that are not supported by existing systems. The proposed DeepVQL system in this paper is implemented by expanding the PostgreSQL system. DeepVQL supports video database functions and provides various user-defined functions for object detection, object tracking, and video analytics queries. The advantage of this system is its ability to utilize queries with specific spatial regions or temporal durations as conditions for analyzing moving objects in traffic videos.
EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions
Authors: Zhang Enhao , Daum Maureen , He Dong , Ganti Manasi , Haynes Brandon , Krishna Ranjay , Balazinska Magdalena
Published: September 2023

We demonstrate EQUI-VOCAL, a system that synthesizes compositional queries over videos from user feedback. EQUI-VOCAL enables users to query a video database for complex events by providing a few positive and negative examples of what they are looking for and labeling a small number of additional system-selected examples. Using those user inputs, EQUI-VOCAL synthesizes declarative queries that can then retrieve additional instances of the desired events. The demonstration makes two contributions: it introduces EQUI-VOCAL's graphical user interface and enables conference attendees to experiment with EQUI-VOCAL on a variety of queries. Both enable users to gain a better understanding of EQUI-VOCAL's query synthesis approach and to explore the impact of hyperparameters and label noise on system performance.
Solving Hard Variants of Database Schema Matching on Quantum Computers
Authors: Fritsch Kristin , Scherzinger Stefanie
Published: September 2023

With quantum computers now available as cloud services, there is a global quest for applications where a quantum advantage can be shown. Naturally, data management is a candidate domain. Workable solutions require the design of hybrid quantum algorithms, where a quantum computing unit (a QPU) and classical computing (via CPUs) cooperate towards solving a problem. This demo illustrates such an end-to-end solution targeting NP-hard variants of database schema matching. Our demo is intended to be educational (and hopefully inspiring), allowing participants to explore the critical design decisions, such as the handover between phases of QPU- and CPU-based computation. It will also allow participants to experience hands-on - through playful interaction - how easily problem sizes exceed the limitations of today's QPUs.
DHive: Query Execution Performance Analysis via Dataflow in Apache Hive
Authors: Zhang Chaozu , Shen Qiaomu , Tang Bo
Published: September 2023

Nowadays, Apache Hive has been widely used for large-scale data analysis applications in many organizations. Various visual analytical tools are developed to help Hive users quickly analyze the query execution process and identify the performance bottleneck of executed queries. However, existing tools mostly focus on showing the time usage of query sub-components (jobs and operators) but fail to provide enough evidence to analyze the root reasons for the slow execution progress. To tackle this problem, we develop a visual analytical system DHive to visualize and analyze the query execution progress via dataflow analysis. DHive shows the dataflow during query execution at multiple levels: query level, job level and task level, which enable users to identify the key jobs/tasks and explain their time usage by linking them to the auxiliary information such as the system configuration and hardware status. We demonstrate the effectiveness of DHive by two cases in a production cluster. DHive is open-source at https://github.com/DBGroup-SUSTech/DHive.git.
Portals: A Showcase of Multi-Dataflow Stateful Serverless
Authors: Spenger Jonas , Huang Chengyang , Haller Philipp , Carbone Paris
Published: September 2023

Serverless applications spanning the cloud and edge require flexible programming frameworks for expressing compositions across the different levels of deployment. Another critical aspect for applications with state is failure resilience beyond the scope of a single dataflow graph that is the current standard in data streaming systems. This paper presents Portals, an interactive, stateful dataflow composition framework with strong end-to-end guarantees. Portals enables event-driven, resilient applications that span across dataflow graphs and serverless deployments. The demonstration exhibits three scenarios in our multi-dataflow streaming-based system: dynamically composing a stateful serverless application; an interactive cloud and edge serverless application; and a Portals browser playground.
Fanglue: An Interactive System for Decision Rule Crafting
Authors: Qian Chen , Liang Shiwei , Wang Zhaoyang , Lou Yin
Published: September 2023

In many applications the training data do not always contain sufficient information to produce high-quality decision rules for standard (end-to-end) rule mining algorithms, and human experts have to incorporate domain knowledge during rule induction in order to get meaningful results. In this work we present Fanglue, a home-grown system inside Alipay, for interactive decision rule crafting. Fanglue is a distributed in-memory system and is highly responsive when processing large-scale datasets. In addition, Fanglue extends the standard representation of a decision rule by introducing disjunctive clauses. Having disjunctive clauses can improve the coverage and robustness of a decision rule, especially for fraud prevention in Fintech applications.
Will LLMs Reshape, Supercharge, or Kill Data Science? (VLDB 2023 Panel)
Authors: Halevy Alon , Choi Yejin , Floratou Avrilia , Franklin Michael J. , Noy Natasha , Wang Haixun
Published: September 2023

Large language models (LLMs) have recently taken the world by storm, promising potentially game changing opportunities in multiple fields. Naturally, there is significant promise in applying LLMs to the management of structured data, or more generally, to the processes involved in data science. At the very least, LLMs have the potential to provide substantial advancements in long-standing challenges that our community has been tackling for decades. On the other hand, they may introduce completely new capabilities that we have only dreamed of thus far. This panel will bring together a few leading experts who have been thinking about these opportunities from various perspectives and fielding them in research prototypes and even in commercial applications.
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

Epidemiological 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

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

This 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

Kant 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

This 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

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

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

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

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.
Laboratory Fatigue Characterization of Foamed Bitumen Stabilized Granular Base and Recycled Blends for Pavements
Authors: Zhalehjoo Negin , Bodin Didier , Jameson Geoffrey , Papacostas Andrew , Guppy Ross
Published: September 2023

Foamed bitumen stabilization offers a sustainable solution for the construction of new pavements or rehabilitation treatments while also improving the performance of pavement structures. This technique allows up to 100 % of the existing pavements to be used, which will lead to lower use of quarry resources and reduced material transportation cost. In recent years, there have been advances in the use of foamed bitumen stabilized (FBS) pavements. However, prior to the research in this paper, no specific Australian performance relationship had been developed for FBS materials. Also, there was a lack of test procedures specifically developed to manufacture and evaluate the fatigue cracking resistance of FBS conventional and recycled pavement materials. This paper presents the laboratory characterization and development of a fatigue relationship to predict performance of FBS materials. For this purpose, laboratory experiments were undertaken including flexural fatigue, modulus, and strength tests using a four-point bending beam system. Five different host materials were selected for laboratory investigations, including three crushed rocks and two recycled blends incorporating 50 % reclaimed asphalt pavement and 80 % recycled cement–treated crushed rock. A total of eight FBS mixes were tested with varying host materials, foamed bitumen content from 2 to 4 %, and hydrated lime content of 1 or 2 %. A testing procedure to measure and analyze the fatigue performance of FBS granular base and recycled blends was produced. Using the laboratory test results, a specific laboratory fatigue relationship for FBS materials, including recycled blends, is developed. The flexural modulus, flexural strength-to-modulus ratio, and volume of bitumen were found to be major parameters affecting the fatigue life of FBS materials and were consequently employed to develop the predictive model. This research will assist with the subsequent development of a performance-based in-service fatigue model for thickness design of FBS flexible pavements.
Psychoanalytic Contributions to Psychodynamic Psychiatry and Psychotherapy: Freud's Structural Hypothesis
Authors: Corradi Richard B.
Published: September 2023

Psychoanalysis has long lost its historical influence on U.S. academic psychiatry. Psychoanalytic theory, however, provides us with a rich and remarkably comprehensive knowledge of human development, both normative and pathologic. This article describes a psychoanalytic concept that enriches our understanding of the mind and its disorders: Freud's structural hypothesis. This core concept provides a theoretical foundation for understanding the clinical features of both neurotic and personality disorders. It also informs a psychodynamic psychotherapy.
Motivasi Siswa Terhadap Olahraga Pentaque di SMA N 1 Guntur Kecamatan Guntur Kabupaten Demak
Authors: Hana Muhammad Ainul , Yuwono Cahyo
Published: September 2023

Petanque is a form of boules game where the goal is to throw the ball as close as possible to a wooden ball called a cochonnet and the feet must be in a small circle. Petanque sport is a sport that has just deve;oped in Indonesia, therefore researchers want to know the motivation of students to wards petanque sport at SMA Negeri 1 Guntur, Guntur District. This research is a qualitative descriptive research with triangulation data collection method. The subjects of this study were students of class X SMA Negeri 1 Guntur and the object was SMA Negeri 1 Guntur, one of the senior high schools that already had a petanque field in Demak Regency. The results showed that students’ motivation in exercising petanque was good because of their interest in fulfilling physiological needs such as health and body fitness. In addition to meeting social needs such as getting the latest information related to health, fitness, and or techniques in doing petanque sport as well as students’ self-actualization needs. Based on the results of the research above, it can be said that the student’s motivation for petanque sport at SMA Negeri 1 Guntur is to fulfill physiological needs, social needs, and self-actualization. The suggestion for these schools is that students can take full advantage of sport facilities to support achievement. The role of schools is important in the introduction of the petanque sport as well as supporting school achievement.
Survei Sarana Dan Prasarana Cabang Olahraga Bola Voli Se-Kabupaten Tegal
Authors: Arfiansyah Dhika , Qoriah Anirotul
Published: September 2023

The purpose of this study was to Facilities and Infrastructure for Volleyball Sports in Tegal Regency.. This research is a qualitative, descriptive study using a survey method. data collection techniques through observation, interviews, and documentation. The sample in this study were all volleyball clubs registered with the Tegal Regency PBVSI Management. The results showed that the average infrastructure for volleyball clubs in Tegal Regency was sufficient. For volleyball clubs who feel inadequate in terms of facilities, there is only one club. As for infrastructure, there is 1 volleyball club, the infrastructure is in poor condition, and 1 club is under repair. The results of the study concluded: 1) the availability of infrastructure owned by most clubs was already available; 1 volleyball club had insufficient infrastructure; 2) feasibility, all volleyball clubs were suitable for use; there were 3 clubs with insufficient infrastructure.
Pembinaan Prestasi Atlet Pencak Silat Se-Kabupaten Rembang
Authors: Sulistyowati Lisa Prehantini , Irsyada Roas
Published: September 2023

In general, the development of achievement has not been in accordance with the results obtained, which are not as expected. The problem in this research is that the achievements of the pencak silat athletes in Rembang Regency have not been as expected because the training has not been clearly programmed and structured. The purpose of this study was to determine the achievement development of pencak silat athletes in Rembang Regency. This research method uses descriptive qualitative with methods of observation, interviews and documentation. The research sources consist of 1 chairman of the National Association, 1 chairman of IPSI, 3 college coaches and 15 athletes from 3 different colleges. This research was conducted in Rembang Regency, the data analysis technique used was data triangulation, data analysis, data reduction, data presentation and conclusions drawn. The results showed that (1) the stages of coaching: massing was carried out if the admission of new students to school was through the mass media, the nursery was carried out with a match test as a benchmark for the recruitment of athletes, the achievement strategy was implemented with special training, (2) there was a training program but it was not written down. , (3) the condition of the athletes is not appropriate, (4) the existing facilities still need updating and additions, (5) the research has not been running as it should, (6) the competition conducts try outs and try ins (7) the organization is managed by members of each college the chosen ones, (8) the existing funds at IPSI are obtained from sponsored KONI and college fees under the auspices of Ipsi, for colleges it comes from membership fees and schools that have pencak silat colleges under the auspices of IPSI. The conclusion of this research is that the development of pencak silat achievement in Rembang Regency does not work as expected or the system implemented has not given the desired results. Suggestions that can be given (1) for fighters in Rembang Regency to pay more attention to the pattern of coaching that has been running so that the objectives of the coaching are obtained maximally, (2) the pencak silat coach to always learn new things in order to add knowledge so that it can be applied to his athletes, (3) the Pencak silat college of Rembang Regency to add more existing facilities to facilitate the athlete coaching process.
Pengaruh Kemampuan Gerak Motorik Kasar Terhadap Keberhasilan Belajar Lempar Tangkap Bola Siswa Tunagrahita Di SLB Negeri Wiradesa
Authors: Khamidun Muhammad , Yuwono Cahyo
Published: September 2023

This research is to determine the ability of gross motor movements to successfully learn to catch the ball of lightly impaired students Wiradesa State Out-of-state Schools. This research a one-group pretest posttest design. The sampling technique used was a total sampling .The instruments used in this study used a small ball capture mpar test with a wall target with a distance of one meter. The data analysis used by this study includes prerequisite tests, descriptive analysis and hypothesis tests. The results of this study are related to the results of the t test difference between the pretest group and the wall ball capture throw posttest showing a value of 0.000 < 0.05 which means that the training program has a significant influence on the ability to throw catch the ball. Meanwhile, the t test difference between the pretest group and the posttest throwing the ball back and forth wall showed a value of 0.000 < 0.05, meaning that the training program provided had a significant influence on the ability to catch the ball back and forth. Based on the results of the study, it can be concluded that basic motor movement training affects the success of throwing balls of students at Wiradesa State Out-of-state Schools, Pekalongan Regency, Pekalongan Regency. For teachers, it is hoped that the health assessment teacher can develop and provide an interesting learning method for students to be motivated in participating in teaching and learning activities. 

This research is to determine the ability of gross motor movements to successfully learn to catch the ball of lightly impaired students Wiradesa State Out-of-state Schools. This research a one-group pretest posttest design. The sampling technique used was a total sampling .The instruments used in this study used a small ball capture mpar test with a wall target with a distance of one meter. The data analysis used by this study includes prerequisite tests, descriptive analysis and hypothesis tests. The results of this study are related to the results of the t test difference between the pretest group and the wall ball capture throw posttest showing a value of 0.000 < 0.05 which means that the training program has a significant influence on the ability to throw catch the ball. Meanwhile, the t test difference between the pretest group and the posttest throwing the ball back and forth wall showed a value of 0.000 < 0.05, meaning that the training program provided had a significant influence on the ability to catch the ball back and forth. Based on the results of the study, it can be concluded that basic motor movement training affects the success of throwing balls of students at Wiradesa State Out-of-state Schools, Pekalongan Regency, Pekalongan Regency. For teachers, it is hoped that the health assessment teacher can develop and provide an interesting learning method for students to be motivated in participating in teaching and learning activities.
Survei Pembinaan Prestasi Olahraga Sepaktakraw Pada Atlet Pemusatan Pendidikan dan Latihan Olahraga Pelajar Daerah (PPLPD) Kabupaten Kendal 2022
Authors: Zulva Fina Malihatuz , Raharjo Agus
Published: September 2023

The focus of this research is to find out the conditions and problems of developing the performance of the Kendal PPLOPD Sepaktakraw team regarding the organization, athletes, coaches, implementation of training programs, facilities and infrastructure, and achievements that have been obtained. Researchers used descriptive qualitative research methods that used three research instruments in the form of interview guidelines, observation guidelines, and documentation. The results of the research that have been carried out can be concluded that the program and athlete coaching at PPLOPD Kendal district has gone through good stages, but there are few suggestions that must be submitted by researchers. The facilities and infrastructure needed for athletes are more considered in the process of procurement and improvement of existing facilities. So that athletes are more enthusiastic in practicing so that their performance will be more promising
Kemampuan Guru Penjasorkes dalam Perencanaan Pelaksanaan dan Evaluasi Pembelajaran Pada SMK Negeri Sekabupaten Purbalingga
Authors: Purnomo Fiki Andi , Sulaiman Sulaiman
Published: September 2023

Physical education teachers' ability in the learning process has an impact on education, improving the quality and quality of education so that it affects the teaching and learning process. For this reason, the problem of this research is how the ability of physical education teachers in the learning process at SMK Negeri Sekabupaten Purbalingga is. The purpose of this study was to determine the ability of physical education teachers in the physical education learning process which includes the planning, implementation, and evaluation processes at SMK Negeri Sekabupaten Purbalingga. This research is a type of qualitative research with a descriptive approach. The results of the research are the ability of teachers in the learning process which includes planning done by making syllabus and lesson plans, the process of implementing physical education learning is carried out in face-to-face meetings, and the assessment process is carried out through three aspects of affective, cognitive, and psychomotor. The conclusion of this study is that the ability of teachers in the physical education learning process which includes planning, implementation, and evaluation at SMK Negeri Sekabupaten Purbalingga is quite good.
Tingkat Keterampilan Renang Gaya Crawl Jarak 25 Meter Pada Siswa Kelas IV SD Negeri Ngupasan Kabupaten Purworejo Tahun 2022
Authors: Adikarsa Indra , Supriyono Supriyono
Published: September 2023

The purpose of this study was to determine the level of swimming skills in Crawl Style at a distance of 25 meters in fourth grade students of SD Negeri Ngupasan, Purworejo Regency in 2022. This research was started on June 9, 2022. This research is a quantitative descriptive study using a one-shot case study design. with data collection techniques through survey tests using research instruments. The subjects of this study were fourth grade students of SD Negeri Ngupasan Purworejo. Data analysis used descriptively analyzed data with percentages. The results of the research and discussion, obtained the overall percentage in the very good category there are 3 students (15%), for the good category there are 4 students (20%), the sufficient category is 8 students (40%), while the less category there are 4 students (20% ), and the last one in the very poor category amounted to 1 student (5%). But there are still students who are less skilled because of several obstacles such as fear, hyperactivity, lack of use of appropriate swimming techniques. The conclusion from the results of the study is that the Crawl Style Swimming Skill Level of 25 Meters in Grade IV Students at SD Negeri Ngupasan, Purworejo Regency in 2022 is in the sufficient category.