bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Karakteristik Perusahaan terhadap Audit Report Lag di Indonesia
Authors: Silvia Silvia , Wardhani Nurhastuty
Published: August 2024

This study was conducted to analyze the effect of company characteristics on the delay in submitting audit reports, where the characteristics of the selected companies are company size, operational complexity and financial distress. This study uses financial data for 2017-2020 from 22 companies engaged in the hotel, restaurant and tourism sector which are listed on the Indonesia Stock Exchange. The sample was selected using the purposive sampling method, a multiple linear regression analysis model that was tested with the IBM SPSS 26 tools. The novelty of this study is to show whether the impact of the COVID-19 pandemic can extend the audit completion time. In this study, it was found that there was an effect of company size which had the ability to extend the audit report lag, but it was different from operational complexity and financial distress which had no relationship to the occurrence of audit report lag. In addition, there is also a significant difference in the number of audit completion days before and during the COVID-19 pandemic period.
Pengaruh Enivironmental Cost terhadap Eko-Efisiensi dengan Environmenta Disclosure sebagai Pemediasi
Authors: Novriana Annisa Ulya , Fakhroni Zaki
Published: August 2024

This research aims at analyzing influence of environmental cost on the eco-efficiency, environmental cost on the environmental disclosure, environmental disclosure on the eco-efficiency, and environmental disclosure as mediator on influence of environmental cost towards the eco-efficiency. The population of this research were manufacturing and coal-mining companies listed in Bursa Efek Indonesia in the period of 2012-2018. Using a purposive sampling method there were 8 companies as samples and 56 data set were obtained. The data analysis techniques used were, path analysis, and hypothesis test. The results of this research indicate that environmental cost is positively and significantly influence the eco-efficiency, environmental cost positively and significantly influences the environmental disclosure, environmental disclosure positively and significantly influences the eco-efficiency, and environmental disclosure partially mediates the effect of environmental cost on the eco-efficiency.
Pentingnya Wawasan Sejarah dan Kebangsaan pada Negara-Bangsa Plural: Persoalan Integrasi dan Disintegrasi di Indonesia pada Abad XXI
Authors: Sulistiyono Singgih Tri , Rochwulaningsih Yety
Published: August 2024

Artikel ini ingin mewacanakan pentingnya wawasan kebangsaan Indonesia sebagai upaya untuk menjaga keutuhan dan integrasi nasional dalam bingkai Negara Kesatuan Republik Indonesia (NKRI). Artikel ini menemukan bahwa negara Republik Indonesia merupakan negara yang memiliki cacat bawaan sejak lahir yaitu kerapuhan dalam memepertahankan integrasi nasional. Hal itu terkait dengan kenyataan bahwa negara republic Indonesia lahir bukan karena persamaan tetapi justru karena perbedaan dan keragaman baik dalam ras, kelompok etnik, agama, status social. Kesamaan mungkin hanya ditemukan dalam wujud cita-cita yaitu lepas dari kolonialisme bangsa asing dan membentuk negara yang merdeka Makmur, adil, dan memiliki harga diri. Untuk mengatasi cacat bawaan sejak lahir itulah maka semangat kebangsaan perlu selalu diproduksi dan reproduksi guna mengawal integrasi nasional Indonesia untuk mampu menghadapi tantangan disintegrasi nasional.
Perempuan dan Ketahanan Pangan (Rumah Tangga) pada Masa Revolusi
Authors: Ningsih Widya Fitria
Published: August 2024

Women were primarily responsible for food security and nutrition within their households when their husbands, fathers, and sons went off to war. However, the narratives on women and their complex relationship with food problems during the Indonesian Revolution have, for long, merely been focused on their involvement in the communal kitchen. By focusing on food governance and women’s role and experiences in food production, distribution, and consumption, this article examines (household) food security in Yogyakarta during the revolutionary period. Yogyakarta was purposefully chosen as the research site because it was the birthplace of the Indonesian women’s movement and the epicentre of the physical revolution. Yogyakarta was purposefully chosen as the research site because it was the birthplace of the Indonesian women’s movement and the epicentre of the physical revolution. The study uses historical methods to examine official documents, newspapers, and interviews within oral history. It shows that the looming food crisis during the revolution heightened awareness about national food security, prompting the development of various strategies, societal adaptation, and the resilience of women. It also reveals that the domestic roles imposed on women are indirectly a form of recognition of women as the main actors in the (household) food chain.
Batavia in Crisis: Disease Outbreaks and Public Health Responses in the 20th Century
Authors: Aditiya Wisnu Rega , Susilowati Endang , Yuliati Dewi
Published: August 2024

This study investigates the health crisis that gripped Batavia during the early 20th century, characterized by recurrent disease outbreaks. The development of the outbreak was influenced, among other by the unhealthy lifestyle of the population, the lack of knowledge regarding handling existing outbreaks, as well as climate and weather factors in the Batavia region which supported the spread of the disease. By examining the interplay of socio-economic conditions, public health practices, and environmental factors, this research seeks to elucidate the factors contributing to these epidemics. Employing a historical methodology,the study analyzes primary and secondary sources to reconstruct the city's health landscape. Findings reveal that Batavia's inadequate public health infrastructure, coupled with poor living conditions, exacerbated the spread of diseases. The city's government struggled to implement effective control measures, leading to significant mortality rates. However, the introduction of mass vaccination programs in the 1910s and 1920s marked a turning point, demonstrating the potential of public health interventions in mitigating disease outbreaks. This research underscores the importance of robust public health systems in preventing and responding to epidemics, a lesson that remains relevant today.
Robust Best Point Selection under Unreliable User Feedback
Authors: Chen Qixu , Wong Raymond Chi-Wing
Published: August 2024

The task of finding a user's utility function (representing the user's preference) by asking them to compare pairs of points through a series of questions, each requiring him/her to compare 2 points for choosing a more preferred one, to find the best point in the database is a common problem in the database community. However, in real-world scenarios, users may provide unreliable answers due to two major types of errors, namely persistent errors and random errors. Existing interaction algorithms either simply assume that all answers provided by the user are reliable, or are capable of handling random errors only, which can lead to finding undesirable points, ignoring persistent errors. To address this challenge, we propose more generalized algorithms that are robust to both persistent and random errors made by the user. Specifically, we propose (1) an algorithm that asks an asymptotically optimal number of questions, and (2) an algorithm that asks an even smaller number of questions empirically, with provable performance guarantee. Our experiments on both real and synthetic datasets demonstrate that our algorithms outperform existing methods in terms of accuracy, even with a small number of questions asked.
Automating the Enterprise with Foundation Models
Authors: Wornow Michael , Narayan Avanika , Opsahl-Ong Krista , McIntyre Quinn , Shah Nigam , Ré Christopher
Published: August 2024

Automating enterprise workflows could unlock $4 trillion/year in productivity gains. Despite being of interest to the data management community for decades, the ultimate vision of end-to-end workflow automation has remained elusive. Current solutions rely on process mining and robotic process automation (RPA), in which a bot is hard-coded to follow a set of predefined rules for completing a workflow. Through case studies of a hospital and large B2B enterprise, we find that the adoption of RPA has been inhibited by high set-up costs (12--18 months), unreliable execution (60% initial accuracy), and burdensome maintenance (requiring multiple FTEs). Multimodal foundation models (FMs) such as GPT-4 offer a promising new approach for end-to-end workflow automation given their generalized reasoning and planning abilities. To study these capabilities we propose ECLAIR, a system to automate enterprise workflows with minimal human supervision. We conduct initial experiments showing that multimodal FMs can address the limitations of traditional RPA with (1) near-human-level understanding of workflows (93% accuracy on a workflow understanding task) and (2) instant set-up with minimal technical barrier (based solely on a natural language description of a workflow, ECLAIR achieves end-to-end completion rates of 40%). We identify human-AI collaboration, validation, and self-improvement as open challenges, and suggest ways they can be solved with data management techniques.
Eliminating Data Processing Bottlenecks in GNN Training over Large Graphs via Two-level Feature Compression
Authors: Ma Yuxin , Gong Ping , Wu Tianming , Yi Jiawei , Yang Chengru , Li Cheng , Peng Qirong , Xie Guiming , Bao Yongcheng , Liu Haifeng , Xu Yinlong
Published: August 2024

Training GNNs over large graphs faces a severe data processing bottleneck, involving both sampling and feature loading. To tackle this issue, we introduce F
2
CGT, a fast GNN training system incorporating feature compression. To avoid potential accuracy degradation, we propose a two-level, hybrid feature compression approach that applies different compression methods to various graph nodes. This differentiated choice strikes a balance between rounding errors, compression ratios, model accuracy loss, and preprocessing costs. Our theoretical analysis proves that this approach offers convergence and comparable model accuracy as the conventional training without feature compression. Additionally, we also co-design the on-GPU cache sub-system with compression-enabled training within F
2
CGT. The new cache sub-system, driven by a cost model, runs new cache policies to carefully choose graph nodes with high access frequencies, and well partitions the spare GPU memory for various types of graph data, for improving cache hit rates. Finally, extensive evaluation of F
2
CGT on two popular GNN models and four datasets, including three large public datasets, demonstrates that F
2
CGT achieves a compression ratio of up to 128 and provides GNN training speedups of 1.23-2.56× and 3.58--71.46× for single-machine and distributed training, respectively, with up to 32 GPUs and marginal accuracy loss.
Towards Systematic Index Dynamization
Authors: Rumbaugh Douglas B. , Xie Dong , Zhao Zhuoyue
Published: August 2024

There is significant interest in examining large datasets using complex domain-specific queries. In many cases, these queries can be accelerated using specialized indexes. Unfortunately, the development of a practical index is difficult, because databases generally require additional features such as updates, concurrency support, crash recovery, etc. There are three major lines of work to alleviate the pain: (1) automatic index composition/tuning which composes indexes out of core data structure primitives to optimize for specific workloads; (2) generalized index templates which generalize common data structures such as B+-trees for custom queries over custom data types, and (3) data structure dynamization frameworks such as the Bentley-Saxe method which converts a static data structure into an updatable data structure with bounded additional query cost. The first two are limited to very specific queries and/or data structures and, thus, are not suitable for building a general index dynamization framework. The last one is more promising in its generality but also has limitations on query types, deletion support, and performance tuning. In this paper, we discuss the limitations of the classic index dynamization techniques and propose a path towards a more general and systematic solution. We demonstrate the viability of our framework by realizing it as a C++20 metaprogramming library and conducting case studies on four example queries with their corresponding static index structures. With this framework, many theoretical/early-stage index designs can easily be extended with support for updates, along with a wide tuning space for query/update performance trade-offs. This allows index designers to focus on efficient data layouts and query algorithms, thereby dramatically narrowing the gap between novel index designs and deployment.
Transforming Property Graphs
Authors: Bonifati Angela , Murlak Filip , Ramusat Yann
Published: August 2024

In this paper, we study a declarative framework for specifying transformations of property graphs. In order to express such transformations, we leverage queries formulated in the Graph Pattern Calculus (GPC), which is an abstraction of the common core of recent standard graph query languages, GQL and SQL/PGQ. In contrast to previous frameworks targeting graph topology only, we focus on the impact of data values on the transformations---which is crucial in addressing users' needs. In particular, we study the complexity of checking if the transformation rules do not specify conflicting values for properties, and we show this is closely related to the satisfiability problem for GPC. We prove that both problems are PSpace-complete.

We have implemented our framework in openCypher. We show the flexibility and usability of our framework by leveraging an existing data integration benchmark, adapting it to our needs. We also evaluate the incurred overhead of detecting potential inconsistencies at run-time, and the impact of several optimization tools in a Cypher-based graph database, by providing a comprehensive comparison of different implementation variants. The results of our experimental study show that our framework exhibits large practical benefits for transforming property graphs compared to ad-hoc transformation scripts.
Efficient Enumeration of Recursive Plans in Transformation-Based Query Optimizers
Authors: Fejza Amela , Genevès Pierre , Layaïda Nabil
Published: August 2024

Query optimizers built on the transformation-based Volcano/Cascades framework are used in many database systems. Transformations proposed earlier on the logical query dag (LQDAG) data structure, which is key in such a framework, are restricted to recursion-free queries. We propose the recursive logical query dag (RLQDAG) which extends the LQDAG with the ability to capture and transform recursive queries, leveraging recent developments in recursive relational algebra. Specifically, this extension includes: (i) the ability of capturing and transforming sets of recursive relational terms thanks to (ii) annotated equivalence nodes used for guiding transformations that are more complex in the presence of recursion; and (iii) RLQDAG rewrite rules that transform sets of subterms in a grouped manner, instead of transforming individual terms in a sequential manner; and that (iv) incrementally update the necessary annotations. Core concepts of the RLQDAG are formalized using a syntax and formal semantics with a particular focus on subterm sharing and recursion. The result is a clean generalization of the LQDAG, enabling efficient explorations of plan spaces for recursive queries. An implementation of the proposed approach shows significant performance gains compared to the state-of-the-art.
Privately Answering Queries on Skewed Data via Per-Record Differential Privacy
Authors: Seeman Jeremy , Sexton William , Pujol David , Machanavajjhala Ashwin
Published: August 2024

We consider the problem of the private release of statistics (like payroll) where it is critical to preserve the contribution made by a small number of outlying large entities. We propose a privacy formalism, per-record zero concentrated differential privacy (PzCDP), where the privacy loss associated with each record is a public function of that record's value. Unlike other formalisms which provide different privacy losses to different records, PzCDP's privacy loss depends explicitly on the confidential data. We define our formalism, derive its properties, and propose mechanisms which satisfy PzCDP that are uniquely suited to publishing skewed or heavy-tailed statistics, where a small number of records contribute substantially to query answers. This targeted relaxation helps overcome the difficulties of applying standard DP to these data products.
Robust Join Processing with Diamond Hardened Joins
Authors: Birler Altan , Kemper Alfons , Neumann Thomas
Published: August 2024

Join ordering and join processing has a huge impact on query execution and can easily affect the query response time by orders of magnitude. In particular, when joins are potentially growing n:m joins, execution can be very expensive. This can be seen by examining the sizes of intermediate results: If a join query produces many redundant tuples that are later eliminated, the query is likely expensive, which is not justified by the query result. This gives the query a diamond shape, with intermediate results larger than the inputs and the output. This occurs frequently in various workloads, particularly, in graph workloads, and also in benchmarks like JOB.

We call this issue the diamond problem, and to address it, we propose the diamond hardened join framework, which splits join operators into two suboperators: Lookup & Expand. By allowing these suboperators to be freely reordered by the query optimizer, we improve the runtime of queries that exhibit the diamond problem without sacrificing performance for the rest of the queries. Past theoretical work such as worst-case optimal joins similarly try to avoid huge intermediate results. However, these approaches have significant overheads that impact all queries. We demonstrate that our approach leads to excellent performance both in queries that exhibit the diamond problem and in regular queries that can be handled by traditional binary joins. This allows for a unified approach, offering excellent performance across the board. Compared to traditional joins, queries' performance is improved by up to 500x in the CE benchmark and remains excellent in TPC-H and JOB.
nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems
Authors: Yuan Ye , Tang Bo , Zhou Tianfei , Zhang Zhiwei , Qin Jianbin
Published: August 2024

In this paper, we propose nsDB, a novel neuro-symbolic database system that integrates neural and symbolic system architectures natively to address the weaknesses of each, providing a strong database capable of data managing, model learning, and complex analytical query processing over multi-modal data. We employ a real-world NBA data analytical query as an example to illustrate the functionality of each component in nsDB and highlight the research challenges to build it. We then present the key design principles and our preliminary attempts to address them.

In a nutshell, we envision that the next generation database system nsDB integrates the complex neural system with the simple symbolic system. Undoubtedly, nsDB will serve as a bridge between databases with AI models, which abstracts away the AI complexities but allows end users to enjoy the strong capabilities of them. We are in the early stages of the journey to build nsDB, there are many opening challenges, e.g., in-database model training, multi-objective query optimization, and database agent development. We hope the researchers from different communities (e.g., system, architecture, database, artificial intelligence) could tackle them together.
OLAP on Modern Chiplet-Based Processors
Authors: Fogli Alessandro , Zhao Bo , Pietzuch Peter , Bandle Maximilian , Giceva Jana
Published: August 2024

Chiplet-based CPUs, which combine multiple independent dies on a single package, allow hardware to scale to higher CPU core counts at the cost of more memory heterogeneity and performance variability. This introduces challenges when existing query engines are deployed on chiplet-based CPUs, as current designs make assumptions about uniform memory access, cache locality and consistent core performance, e.g., leading to ineffective CPU utilization.

In this paper, we analyse the performance impact when query engines ignore chiplet-specific properties. We demonstrate that a naïve deployment can result in a significant degradation of query processing efficiency, exhibiting non-linear scaling even within a single CPU socket domain. Based on comprehensive experiments, we explore approaches to deploy query engines on chiplet-based CPUs with improved performance: we show that distributing processing tasks according to a chiplet-aware strategy achieves higher resource utilization and scalability, yielding an up to 7× speedup compared to hardware-oblivious approaches.
Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models
Authors: Trummer Immanuel
Published: August 2024

Using large language models (LLMs) for tasks like text-to-SQL translation often requires describing the database schema as part of the model input. LLM providers typically charge as a function of the number of tokens read. Hence, reducing the length of the schema description saves money at each model invocation. This paper introduces Schemonic, a system that automatically finds concise text descriptions of relational database schemata. By introducing abbreviations or grouping schema elements with similar properties, Schemonic typically finds descriptions that use significantly fewer tokens than naive schema representations.

Internally, Schemonic models schema compression as a combinatorial optimization problem and uses integer linear programming solvers to find guaranteed optimal or near-optimal solutions. It speeds up optimization by starting optimization from heuristic solutions and reducing the search space size via pre-processing. The experiments on TPC-H, SPIDER, and Public-BI demonstrate that Schemonic reduces schema description length significantly, along with fees for reading them, without reducing the accuracy in tasks such as text-to-SQL translation.
A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning
Authors: Lyu Chenghao , Fan Qi , Guyard Philippe , Diao Yanlei
Published: August 2024

As Spark becomes a common big data analytics platform, its growing complexity makes automatic tuning of numerous parameters critical for performance. Our work on Spark parameter tuning is particularly motivated by two recent trends: Spark's
Adaptive Query Execution
(AQE) based on runtime statistics, and the increasingly popular
Spark cloud deployments
that make cost-performance reasoning crucial for the end user. This paper presents our design of
a Spark optimizer that controls all tunable parameters of each query in the new AQE architecture to explore its performance benefits and, at the same time, casts the tuning problem in the theoretically sound multi-objective optimization (MOO) setting to better adapt to user cost-performance preferences.
To this end, we propose a novel hybrid compile-time/runtime approach to multi-granularity tuning of diverse, correlated Spark parameters, as well as a suite of modeling and optimization techniques to solve the tuning problem in the MOO setting while meeting the stringent time constraint of 1--2 seconds for cloud use. Evaluation results using TPC-H and TPC-DS benchmarks demonstrate the superior performance of our approach:
(i
) When prioritizing latency, it achieves 63% and 65% reduction for TPC-H and TPC-DS, respectively, under an average solving time of 0.7--0.8 sec, outperforming the most competitive MOO method that reduces only 18--25% latency with 2.6--15 sec solving time.
(ii)
When shifting preferences between latency and cost, our approach dominates the solutions of alternative methods, exhibiting superior adaptability to varying preferences.
Effect of transition metal chloride (ZnCl2) on low-temperature pyrolysis of high ash bituminous coal
Authors: Panwar Deepak Singh , Chaurasia Ram Chandra , Ken Bhupendra Singh , Tudu Balraj Krishnan , Shah Vishal , Mehta Jigesh , Kumar Abhinav , Ansari Mushtaq Ahmad , Natrayan Lakshmaiya , Malik Ishfaq Ahmed
Published: August 2024

Concerns about pollution and global warming have grown in recent years. Efficient coal use is critical for reducing the environmental toll of fossil fuel consumption. This study aims to examine how transition metal chlorides affect the burn-off rate and thermal conversion efficiency of bituminous coal with a high ash content. The analytical methods used include proximate, thermo-gravimetric, morphological, and pyrolysis analyses. This research examined the effect of change in the carbonization temperature, carbonization time, and catalyst concentration on the thermal degradation of high-ash bituminous coal impregnated with ZnCl2. At various ratios, zinc chloride solution was adsorbed onto the coal surface. The treated coal was then heated at different temperatures ranging from 510 to 710°C, under atmospheric pressure, in a furnace without air. This process was carried out to enhance the rate of burnout or pyrolysis. The response surface approach reveals that the carbonization time is a crucial input parameter, followed by the carbonization temperature and catalyst concentration. The response surface methodology analysis yielded a coefficient of determination of 0.9734.
Lithofacies, petrography, and geochemistry of the Lamphun oceanic plate stratigraphy: As a record of the subduction history of Paleo-Tethys in Chiang Mai-Chiang Rai Suture Zone of Thailand
Authors: Phajuy Burapha , Singtuen Vimoltip , Poatprommanee Pee , Boonnawa Chanakan
Published: August 2024

The Mélange in Lamphun Province, situated in the southern region of the Chiang Mai-Chiang Rai Suture Zone (CMCRSZ), remains inadequately explored. This study employs field investigations and petrographic analysis to delineate the characteristics of the CMCRSZ Mélange, identifying nine distinct rock units. These units include Carboniferous quartz arenite interbedded with fine-grained sedimentary rocks, Permian lithic graywacke, Permian limestone hosting Pseudodaliolina sp. and Schwagerinid sp., Triassic chert containing Anisian radiolarian fossils, and ocean island basalt. This area exhibits complex folding and thrusting, accompanied by granitic intrusions and low-grade metamorphic rocks within a finer-grained sedimentary matrix. Stratigraphic assessments trace the primary material of the accretionary complex to the upper strata of the oceanic plate stratigraphy. Geochemical analyses indicate the mafic rocks as alkaline to subalkaline basalts, indicative of formation through an alkaline magma series, a conclusion supported by rare-earth element patterns. Sr/Nd isotope classification suggests ocean island tectonics for these rocks. The formation of the CMCRSZ Mélange occurred during the Paleo-Tethys oceanic crust subduction beneath the Indochina Terrane at the Permian-Triassic Boundary, accumulating diverse materials in a dynamically evolving tectonic context. Furthermore, S-type Triassic granites emerged post-collision during the Indosinian Orogeny following the thrusting of the CMCRSZ onto Sibumasu.
Optimal over-current relay coordination in distribution network using grew wolf optimization
Authors: Rath Shanti S. , Ray Prakash K. , Panda Gayadhar , Mohanty Asit , Panigrahi Tapas K.
Published: August 2024

This paper introduces a novel approach to address the optimal coordination of directional overcurrent relays (DOCRs) in modern power distribution networks. By utilizing the different optimization methods such as genetic algorithm (GA), particle swarm optimization (PSO), pattern search (PS), grey wolf optimization (GWO), the study aims to tackle the inherent complexity and nonlinearity of the relay coordination problem effectively. GWO stands out due to its ability to handle highly nonlinear optimization problems by leveraging the social behavior and hunting mechanisms of grey wolves and its ability to quickly converge to near-optimal solutions make it a popular choice. This unique feature enables the algorithm to explore the solution space more efficiently by repositioning solutions around each other, thereby facilitating better exploitation of the solution space. The effectiveness of the proposed GWO algorithm is evaluated using fault data generated from various test systems ranging from small-scale 8-bus networks to large 15-bus systems. The results demonstrate several key advantages, reduced operating time, robust coordination, and reduced coordination interval. Compared to other optimization algorithms, the GWO algorithm achieves a reduced coordination interval between primary and backup relay pairs. This optimization contributes to faster and more precise fault detection and isolation within the network in comparison to other techniques. Overall, the findings highlight the superior performance and robustness of the GWO algorithm in addressing the optimal coordination challenges of DOCRs in modern power distribution networks thereby enhancing the efficiency and reliability of protection systems in complex electrical grids.
A comprehensive overview of fabrication of biogenic multifunctional metal/metal oxide nanoparticles and applications
Authors: Ullah Rafi , Siraj Muhammad , Zarshan Farishta , Abbasi Banzeer Ahsan , Yaseen Tabassum , Waris Abdul , Iqbal Javed
Published: August 2024

The re-evaluation of animals, plants, and microorganisms for green synthesis has revolutionized the fabrication of metallic nanoparticles (MNPs). Green synthesis provides more biocompatibility compared to chemically synthesized MNPs, which make them ideal for diverse biological applications, especially in biomedicine. Various organisms have been extensively studied for green synthesis. Interestingly, angiosperms, algae, and animal-derived biomaterials like chitin and silk have shown a prominent role in synthesizing these nanoparticles. Moreover, bacteria, viruses, and fungi serve as sources of reducing agents, further expanding green synthesis possibilities. Despite progress, research on natural reducing agents remains relatively limited, with only a few exceptions such as tea and neem plants receiving attention. Green-synthesized nanoparticles have diverse applications in various fields. In biomedicine, they enable drug delivery, targeted therapies, and bio-imaging due to their enhanced biocompatibility. Some MNPs also exhibit potent antimicrobial properties, aiding in disease control and eco-friendly disinfection. Furthermore, green nanoparticles contribute to environmental remediation by purifying water and serve as sensitive biosensors for diagnostics and environmental monitoring. This review will provide the recent progress and advancements in the field of green synthesis (GS) of nanoparticles. It will also analyze the key characteristics and evaluate the advantages and disadvantages of GS compared to chemical synthesis.
Advances in synthesis and anticancer applications of organo-tellurium compounds
Authors: Al-joborae Fadhil Farhood M. , Al-Rawi Sawsan S. , Ibrahim Ahmad H. , Salman Abbas Washeel , Iqbal Muhammad Adnan
Published: August 2024

The present review deeply delves the major methods for the synthesis of organotellurium compounds along with their biological significance. Elaboration of various precursors (ligands) including Schiff bases, naphthoquinones, amino acids, β-hydroxy alkylated compounds, β-phenyltelluro alcohols, β-aryltelluro amines, β-aryl-chalcogenium azides, chalcogenobiotin, benzenesulfonamide, carbonic anhydrase, and Sulpha compounds has been briefly described. Furthermore, the article investigates their possible biological uses, specifically as antioxidant and anticancer agents while comparing their effectiveness with their respective ligands and with the standard medications in terms IC50 values. All types of details are haunted to make the information a priceless resource for researchers who wish to probe deeper into and examine the diverse roles that organotellurium complexes play in biological settings.
Photo Essay: Intimate Representations of Displacement
Authors: Lev Michal
Published: August 2024

This photo essay is a poignant collection of artistic expressions that reflect the emotional impact of displacement in the context of World War III. Through a series of impressionistic paintings and poetic representations, the author invites readers to witness the resilience and defiance found in artistic expression during turbulent times. The essay captures a contemplative journey over the past nine months, shedding light on the quiet, intimate moments amidst chaos and turmoil. Each painting and portrayal in this collection offers a glimpse into the emotional response to global crises, weaving together darkness and glimmers of hope. As viewers immerse themselves in this evocative essay, they are prompted to reflect on the power of art as a form of resilience in the face of adversity.
Endocrinological features and epileptic encephalopathy in COX deficiency due to SCO1 mutations: case series and review of literature
Authors: Barbato Alessandro , Gori Giulia , Sacchini Michele , Pochiero Francesca , Bargiacchi Sara , Traficante Giovanna , Palazzo Viviana , Tiberi Lucia , Bianchini Claudia , Mei Davide , Parrini Elena , Pisano Tiziana , Procopio Elena , Guerrini Renzo , Peron Angela , Stagi Stefano
Published: August 2024

Context

Cytochrome C oxidase (COX) is the fourth component of the respiratory chain and is located within the internal membrane of mitochondria. COX deficiency causes an inherited mitochondrial disease with significant genetic and phenotypic heterogeneity. Four clinical subtypes have been identified, each with distinct phenotypes and genetic variants. Mitochondrial complex IV deficiency nuclear type 4 (MC4DN4) is a form of COX deficiency associated with pathogenic variants in the SCO1 gene.

Case description

We describe three patients with MC4DN4 with developmental and epileptic encephalopathy (DEE), hypopituitarism, and SCO1 pathogenic variants. These patients’ phenotypes considerably differ from previously reported MC4DN4 phenotypes as they associate DEE with progressive hypopituitarism and survival beyond the first months after birth. Pituitary deficiency in these patients progressively worsened and mainly involved growth hormone secretion and thyroid function.

Conclusions

Our findings expand knowledge of phenotypic variability in MC4DN4 and suggest that SCO1 is a candidate gene for genetic hypopituitarism and DEE.

Significance statement

Our paper describes three patients affected by MC4DN4 with hypopituitarism and developmental and epileptic encephalopathy (DEE), two features that have never been associated with this condition. In addition, we reviewed the clinical features of all previous cases of MC4DN4 to give the other clinicians a wide picture of the clinical phenotype of this genetic disease. We hope that the publication of our data may help others to identify this disease and consider the chance to analyze the SCO1 gene in cases of DEE associated with pituitary dysfunction. Our article contributes to expanding the spectrum of genetic hypopituitarism and proposes a model to explain an association between this condition, mitochondrial anomalies, and neurodevelopmental defects.
Examining The Relationship Between Perceived Physical and Cognitive Fatigue and Cognitive Flexibility in Sports Higher Education Institution Students
Authors: Karakuş Ebru , İpekoğlu Gökhan , Karakuş Kaan , Çakıcı Hacı Ali
Published: August 2024

The aim of this study is to examine the relationship between perceived physical and cognitive fatigue and cognitive flexibility among students of higher education institutions in sports. The study consists of a total of 224 participants, including 91 females and 133 males, determined through a random sampling method. In the study, the data collection instruments used were “Athlete Cognitive Flexibility Inventory” and “Perceived Physical and Cognitive Fatigue Scale.” Skewness-Kurtosis test, independent samples t-test, one-way analysis of variance (ANOVA), and Pearson correlation analysis were used in the data analysis. All statistical analyses were conducted using SPSS 22.0 software. A significance level of p
Comprehensive Practice Education via “Cloud-Based Study Tours”: A Case Study of the Comprehensive Practice Curriculum in the Tianfu New District, Sichuan Province, China
Authors: Yang Tong
Published: August 2024

Comprehensive practice education is an integral part of the basic education curriculum, aiming to train students to connect textbook knowledge with real-world life through hands-on manipulations and in-person experiences in off-campus settings. In response to the challenges arising in the current enactment of the comprehensive practice curriculum in Chinese county-level schools, the Tianfu New District Educational Science Institute of China’s Sichuan Province developed the “cloud-based study tour” model to leverage local cultural and social resources to advance comprehensive practice education. Strategies, such as digital empowerment and curriculum development partnerships, were adopted. This article focuses on expounding on the positive roles of the “cloud-based study tour” in supporting regionally balanced, high-quality practical education by fully utilizing digital technologies and partnerships in curriculum development.
Tecnología digital y lengua árabe en las redes sociales
Authors: Saidani Hela , López-Muñoz Juan-Manuel
Published: August 2024

El desarrollo exponencial de la tecnología digital y la sobrecarga de información en Internet, sobre todo en las redes sociales, han dado lugar a una profusión de reacciones en forma de comentarios producidos por internautas, cuya identidad sigue siendo problemática. Estos comentarios, a menudo rápidos e impulsivos, reflejan una diversidad de opiniones, emociones y perspectivas. Contribuyen a la construcción de un discurso colectivo que a veces puede ir en contra del discurso mediático dominante, constituyendo lo que podría denominarse un “contradiscurso”. En este artículo nos proponemos estudiar más concretamente las reacciones de los usuarios tunecinos de Facebook ante la noticia de la guerra de Rusia contra Ucrania. Nuestro estudio se centra en los comentarios generados en respuesta a la noticia difundida el 24 de febrero de 2022 en la página oficial de la emisora de radio tunecina Mosaïque FM. Mediante el análisis de estos comentarios, pretendemos arrojar luz sobre cómo se transforma y adapta la lengua árabe cuando se utiliza en un contexto digital. El objetivo principal de nuestro trabajo es captar la fluidez y la dinámica de la lengua árabe cuando se utiliza en línea, así como los diferentes registros y estilos que pueden surgir en este contexto. También nos interesa el modo en que estos comentarios contribuyen a la construcción de un discurso alternativo, a veces desafiando las narrativas tradicionales de los medios de comunicación y contribuyendo así a la diversificación de voces y perspectivas en el espacio digital.
Trade signs in antiquity
Authors: Vida Sándor , Kováts Borbála
Published: August 2024

The paper discusses the inscriptions of two ancient artifacts, the fragment of an Egyptian wine jug (Museum of Fine Arts, Budapest), and a terra sigillata bowl made by Pacatus (Aquincum Museum, Budapest), and seeks to situate them in the history of trade signs. In ancient Egypt, signs predominantly indicated details such as the place and date of production, and the quality of the product, while in Rome trade signs conveyed information concerning the origin of the product through the craftsman or workshop.
RASIONALITAS TAFSIR AL-QUR’AN KARYA A. HASSAN: Rubrik “Tafsir Al-Hidayah” dalam Majalah al-Fatwa Tahun 1931-1933
Authors: Nugraha Roni
Published: August 2024

Artikel ini mengkaji rasionalitas penafsiran A. Hassan (1887-1958) pada rubrik “Tafsir al-Hidayah” dalam majalah al-Fatwa edisi 1-20 (1931-1933). A. Hassan dikenal sebagai salah seorang tokoh pembaharu Islam di Indonesia. Ia merupakan guru utama organisasi Persatuan Islam (PERSIS). Melalui pendekatan analisis wacana kritis Fairclough, hasil kajian menunjukkan bahwa penafsiran A. Hassan dalam rubrik “Tafsir al-Hidayah” tersebut termasuk ke dalam kategori tafsir rasional (bi al-ra’y). Hal ini terlihat dari kecenderungannya dalam mengutamakan makna ayat berdasarkan analisis kebahasaan dibanding riwayat. Ia juga sama sekali tidak menggunakan riwayat Israiliyat. Rasionalitas penafsiran A. Hassan tersebut tidak lepas dari interaksinya dengan karya Muslim pembaharu dari Mesir, seperti Muhammad ‘Abduh, melalui tafsir Juzʾ ʿAmmā. A. Hassan terlihat kadang hanya menduplikasi pemikiran ‘Abduh, tetapi kadang pula melampauinya dengan melakukan inovasi, modifikasi dan pengembangan penafsiran. Sebuah dinamika jejaring pembaharuan pemikiran Islam awal abad ke-20 antara Mesir dan Asia Tenggara.
Kata Kunci: Rasionalitas, Tafsir, A. Hassan, duplikasi, modifikasi, inovasi
Metode Bimbingan Agama Untuk Meningkatkan Akhlak Karimah Remaja Broken Home
Authors: Nur Azkiya Ifqa Adlhiyani , Tajiri Hajir , Eryanti Devi
Published: August 2024

The research aims to determine the initial condition of the morals of a broken home teenager in FKPA, an effective method of religious guidance to internalize the morals of a broken home teenager; and the results of the research on the method of religious guidance to improve the morals of broken home teenagers. The method of religious guidance carried out at FKPA is the face-to-face method by conducting lectures, and discussing. The results of this study indicate: first, the moral condition of broken home adolescents is often involved in deviant behavior. Second, the method of effective religious guidance is discussing, reviewing verses, and giving advice.
Pengaruh Teknik Self Management Berbasis Konseling Islami terhadap Minat Belajar Siswa
Authors: Salsabila Sarah , Mujib Abdul , Eryanti Devi
Published: August 2024

This study aims to determine the process of Islamic counseling self-management techniques, determine the condition of student interest in learning and determine the effect of self-management techniques based on Islamic counseling to increase student interest in learning. The research method uses a quantitative method of pre-experimental one shot case study. Data collection techniques were carried out through unstructured interviews, observation, questionnaires, and documentation. The total population is 222 students, while the number of samples is 22 students. Hypothesis test using simple linear regression test. Sampling using purposive sampling technique. The results of this study are Islamic counseling self management techniques have an effect on increasing student interest in learning. Referring to the statistical results of a simple linear regression test, the value of sig = 0.000 is obtained, which means that if sig < 0.05 then Ha is accepted and H0 is rejected. The effect of Islamic counseling on self-management techniques on students' interest in learning is 73.9%. So, it can be concluded that the greater the counseling process is carried out, the greater the increase in student interest in learning.
Bimbingan Keagamaan dengan Teknik Reward dan Punishment untuk Meningkatkan Kedisiplinan Belajar Siswa
Authors: Azmiah Adilah , Arifin Isep Zaenal , Tajiri Hajir
Published: August 2024

This study aims to determine the condition of the learning discipline of class VI students at Madrasah Ibtidaiyah Plus Annur. To find out the program and application of religious guidance through reward and punishment techniques that have been implemented in schools. As well as knowing the results to be achieved with this reward and punishment technique. The method used in this research is a qualitative approach. The results of the study show that first, the initial conditions for student discipline in class VI are said to be not disciplined. Second, the religious guidance program with reward and punishment techniques makes students more active in their learning. Third, the implementation of a religious guidance program with reward and punishment techniques becomes a means of controlling student education while studying. Fourth, the results obtained with the reward and punishment technique of students are more disciplined in participating in learning.
Model Bimbingan Pranikah Bagi Calon Pengantin Dibawah Usia 19 Tahun
Authors: Muiz Hanhan Abdul , Fajar Dadang Ahmad , Rojudin Rojudin
Published: August 2024

The aim of this research is to determine the stages of modeling the concept of premarital guidance for prospective brides and grooms under the age of 19 years. The research method uses descriptive qualitative data collection techniques using observation, written interviews and unwritten interviews. Data sources were taken from the Cileunyi District KUA, Functional and Honorary Religious Counselors, a doctor and UPT-KB Officers. The research results show that there are two models used in premarital guidance, namely the classical guidance model which is combined with other guidance participants and the individual guidance model which seeks to carry out the guidance in the guidance participant's private place according to the guidance participant's wishes. This guidance pattern has different aspects of administrative prerequisites, namely the existence of a court decision regarding marriage dispensation and the content of curative guidance material.
Pengaruh Konseling Individu Terhadap Koping Siswa Dimasa Pandemi Covid-19
Authors: Hazimah Nisrina Rif'ati
Published: August 2024

ABSTRAKTujuan daripada penelitian saat ini ialah untuk mencari tahu perihal layanan konseling individu pada anak didik MTs Persis 03 Pameungpeuk pada saat endemi covid19 ; untuk mencari tahu koping anak didik MTs Persis 03 Pameungpeuk ; serta mencari tahu pengaruh layanan konseling individu terhadap anak didik MTs Persis 03 Pameungpeuk pada saat endemi covid19. Metode deskriptif jenis survei dipakai pada pengamatan ini dengan populasi serta sampel anak peserta didik MTs Persis 03 Pameungpeuk kelas VII. Pendekatan kuantitatif dipakai pada peneitian ini, data primer yang didapat melalui kuesioner, wawancara, serta data-data dari MTs Persis 03 Pameungpeuk dengan dokumentasi sebagai data pendukung yang mempunyai relevansi dalam pengamatan ini. beserta teknik random sampling yang dipakai yakni non probabilit. Penelitian ini memperlihatkan bahwa konseling individu yang diadakan di MTs Persis 03 Pameungpeuk memakai strategi yang Islami serta terjalinnya hubungan yang compatibility. Sesudah layanan konseling individu dilangsungkan, banyaknya anak didik yang mampu manangani persoalan mereka memakai pendekaran koping dengan fokus pada persoalan serta emosial yang bersumber dari hasil data. ABSTRACTThe purpose of the current study is to find out about individual counseling services for students at MTs Persis 03 Pameungpeuk during the COVID-19 endemic; to find out the coping of MTs Persis 03 Pameungpeuk students; and find out the effect of individual counseling services on students at MTs Persis 03 Pameungpeuk during the COVID-19 endemic. Descriptive survey method was used in this observation with the population and sample of students of MTs Persis 03 Pameungpeuk class VII. A quantitative approach is used in this research, primary data obtained through questionnaires, interviews, and data from MTs Persis 03 Pameungpeuk with documentation as supporting data that has relevance in this observation. along with the random sampling technique used, namely non-probability. This study shows that individual counseling held at MTs Persis 03 Pameungpeuk uses an Islamic strategy and establishes a compatibility relationship. After individual counseling services are carried out, many students are able to handle their problems using a coping approach with a focus on problems and emotions that come from data results.