bluuebunny/crossref_metadata_2025 huggingface dataset:
How can new fraud combination theory help forensic auditors and external auditors in fraud risk assessments?
Authors: Mvunabandi Jean Damascene
Published: August 2024

The International Standards on Auditing (ISA) 240 requires auditors to assess the risk of material misstatements due to fraud. The ISA (240:4) further notes that the three factors of the Fraud Triangle theory propounded by Donald Cressey should be incorporated into the audit plan. It appears that auditors’ knowledge and understanding of fraud is limited due to inadequacies of ISA 240. This article considers a theoretical review of other relevant fraud theories, literature was reviewed and the researchers recommend that the robust new fraud combination theory should greatly assist forensic auditors and external auditors   to identify and assess fraud and perform effective fraud risk assessments. This study significantly contributes to the current body of knowledge by introducing the New Fraud Combined Theory, a consolidation of all the fraud models and contributory fraud risk factors for fraudulent activities enable external auditors and forensic practitioners to effectively perform fraud risks assessments (FRAs) robustly. This research will guide researchers to further research on the subject matter.
Pengaruh Good Corporate Governance dan Inflasi Terhadap Financial Distress (Terhadap Perusahaan Transportation & Logistic)
Authors: Zedde Adam , Wahyudi Ilham , Ridwan Muhammad
Published: August 2024

This study was conducted to determine the Effect of Good Corporate Governance and Inflation on Financial Distress (Empirical Study on Transportation & Logistics Sector Companies Listed on the Indonesia Stock Exchange for the 2018-2021 Period). The independent variables used in this study are institutional ownership, managerial ownership, independent board of commissioners, audit committee and inflation. While the dependent variable in this study is financial distress. This type of research is quantitative research. The population in this study are transportation & logistics sector companies listed on the Indonesia Stock Exchange for the 2018-2021 period. The results of this study indicate that simultaneously institutional ownership, managerial ownership, independent board of commissioners, audit committee and inflation have no effect on financial distress. While partially institutional ownership, managerial ownership, independent board of commissioners, audit committee and inflation. has no effect on financial distress.
DAMPAK PELAKSANAAN MERGER DAN AKUISISI (M&A) TERHADAP TINGKAT EFISIENSI DAN KINERJA PASAR PERUSAHAAN: STUDI KASUS PADA PERBANKAN DI INDONESIA
Authors: Fahlevi Ali Riza
Published: August 2024

This research aims to examine the effects of M&A on the efficiency and market performance of publicly listed banks in Indonesia from 2007 to 2018.  Using a paired t-test, The level of banking efficiency as measured by Return on Assets, Return on Equity, and Cost Efficiency Ratio was found to have significantly increased (differenced) over the three years before and after the M&A. In addition, when analyzing the impact of M&A on a company's market performance, the level of long-term investment returns attained by investors, as measured by the Buy-and-Hold Abnormal Return (BHAR), is smaller than its counterpart. This study broadens the discussion on how M&A affect company performance after they are executed.Keywords: M&A, bank, Indonesia, performance, BHAR
DETECTION OF FRAUDULENT FINANCIAL STATEMENT USING HEXAGON FRAUD THEORY A LITERATURE REVIEW
Authors: Ridwan Yolanda Arvilia
Published: August 2024

This research aims to provide information about how the detection of financial statement fraud that can occur in Indonesia is related to the hexagon theory of fraud. This research uses a systematic literature review methodology in detecting fraudulent financial statements. Found 20 articles between 2011-2021 on google scholar. purposive sampling is used in this article. The results of this literature research can help future researchers to develop more in-depth fraud research in the future. Some of the variables that appear in the selected articles can be a reference for subsequent researchers regarding fraudulent financial statements, such as expanding the object, expanding the scope of the investigation, and adding research factors.
THE EFFECT OF MANAGERIAL OWNERSHIP, WORKING CAPITAL MANAGEMENT, AND EXECUTIVE COMPENSATION ON COMPANY PROFITABILITY
Authors: Wardhani Nurhastuty Kesumo , Junaedi Daniel , Khomsiyah Khomsiyah
Published: August 2024

Several things that can impact the Profitability of a Company might be the size of the free cash flow, the managerial ownership structure, working capital management, and executive compensation. Once a Company has greater availability of free cash flow, the company has a greater ability to circulate the flow of money for the Company's operations in generating profits. The author’s purpose of research is to see the effect of managerial ownership structure, working capital management, and executive compensation on the profitability on manufacture Companies 'sub-sector chemicals listed on the Indonesia Stock Exchange from 2016 to 2020.Purposive sampling is the method being used by the Author, with the criteria of manufacturing Companies'sub-sector chemicals listed on the Indonesia Stock Exchange, which submitted consolidated financial statements from the year 2016-2020, the companies which earned profit from the year 2016-2020, rupiah currency and the company which listed from 2016-2020. The author decided to use dimensions of the days of sales inventory in this study in order to measure working capital management. The firm’s profitability is measured by Return On Assets. The analytical technique used is multiple linear regression. Keywords: Managerial Ownership, Working Capital Management, Executive Compensation, Free Cash Flow, Profitability
BANK SPECIFIC DETERMINANTS OF LIQUIDITY IN JOINT VENTURE COMMERCIAL BANKS OF NEPAL FROM 2016/2017 TO 2020/2021
Authors: Sharma Bijay
Published: August 2024

This study focuses on Bank Specific Determinants of Liquidity in Joint Venture Commercial Banks of Nepal from 2016/2017 to 2020/2021. Liquid Assets to Total Assets Ratio, Liquid Assets to Total Deposit Ratio and Quick Ratio are considered as dependent variable in this study. The independent variables used in this study are Capital Adequacy Ratio, Non-Performing Loan, Return on Assets and Bank Size.This research has used the simple random method of sampling and considered 3 joint venture commercial banks for the sample size from the total population of 7 banks. Secondary sources of data have been used from annual reports of the sample joint venture banks. The research study has used regression models and descriptive and analytical research design to test the significance of bank specific determinants of liquidity of sample banks.Liquid Assets to Total Deposit Ratio is found to be positively correlated with Capital Adequacy Ratio and negatively correlated with other independent variables used in this study such as Non-Performing Loan, Return on Assets and Bank Size. Liquid Assets to Total Assets Ratio is positively correlated with Capital Adequacy Ratio and negatively correlated with other independent variables used in this study such as Non-Performing Loan, Return on Assets and Bank Size. Quick Ratio is positively correlat4ed with Return on Assets and Capital Adequacy Ratio and negatively correlated with Non-Performing Loan and Bank Size. The regression coefficients of Capital Adequacy Ratio and Bank Size is positive whereas, the regression coefficients of Non-Performing Loan and Return on Assets is negative.
ELEVATING FIRM VALUE: EXPLORING THE ESG FRAMEWORK'S INFLUENCE ON CORPORATE PERFORMANCE
Authors: Wiyarti Evy Steelyana , Lim Michelle
Published: August 2024

The establishment of a company not only focuses on financial aspects, but also focuses on social and environmental aspects. The purpose of this study is to empirically prove that philanthropic activities, environmental performance and environmental costs affect the value of the company. This research was conducted by energy sector companies listed on the Indonesia Stock Exchange in 2011-2020 and used the purposive sampling method  in determining samples. Data processing in this study was carried out using Microsoft Excel and SPSS 25 software. The data analysis technique in this study used multiple linear regression analysis. The results of this study prove that philanthropic activities have a positive and significant impact on the value of the company, while environmental performance has positive results but does not have a significant effect on the value of the enterprise. On the other hand, environmental costs have a negative result and do not have a significant effect on the value of the company. These findings suggest that companies should continue to prioritize philanthropic activities as a component of their CSR strategy, while also considering the environmental costs incurred as a result of their operations.
The potency of sericin as an alternative protein in collection and maturation media to support in vitro bovine oocyte maturation
Authors: Karja N. W. K. , Satrio F. A. , Setiyono A. , Prasetyaningtyas W. E. , Fahrudin M.
Published: August 2024

The purpose of this study was to evaluate the potency of sericin as a substitute for BSA (bovine serum albumin) to support the in vitro maturation of bovine oocytes. Cumulus-oocytes complexes were collected with BSA or 0,1% sericin, and then matured either in media with BSA or sericin. The maturation rate was evaluated based on the meiotic status of oocytes. The incidence of DNA fragmentation in oocytes was assessed by TUNEL. The percentage of oocytes reaching the MII stage in the media either with BSA or sericin was significantly higher than those of oocytes collected and matured in BSA only. Although the maturation rate of oocytes collected with BSA and then matured with sericin was comparable to oocytes in BSA-BSA groups (P>0.05) the rate was similar to oocytes collected with sericin and then even matured with BSA or sericin (P>0.05). There was no significant difference in the incidence of DNA fragmentation among the treatment groups (P>0.05), the indices of DNAfragmented oocytes were found around 17-20 %. In conclusion, Sericin has the potency to replace BSA as a source of protein either in collection media and/or in maturation media as well as potentially preventing the incidence of DNA fragmentation in oocytes.
Effect of rumen-protected fat on in vitro rumen fermentation and apparent biohydrogenation of fatty acids
Authors: Behan A. A. , Chwen L. T. , Kaka U. , Muhammad A. I. , Samsudin A. A.
Published: August 2024

This study aimed to evaluate the effects of rumen-protected fat (RPF) on in vitro fermentation profiles and biohydrogenation of fatty acids. The treatment diets were basal diet (70:30 concentrate to rice straw) with no RPF (CON), basal diet plus prilled fat (PF), basal diet plus prilled fat with lecithin (PFL) and basal diet plus calcium soap of palm fatty acids (CaS). In vitro gas production, fermentation kinetics, in vitro dry matter digestibility (IVDMD), in vitro organic matter digestibility (IVOMD), metabolizable energy (ME), rumen fermentation and fatty acid profile were determined. The results show that RPF did not affect cumulative gas production and gas production kinetics. PFL significantly (p < 0.05) improved IVDMD and IVOMD, although the addition of RPF did not affect ME. The volatile fatty acid (VFA), pH, ammonia nitrogen, methane, and molar proportion of VFA were not significantly influenced by the RPF; methane was numerically reduced because of PFL treatment. The concentration of monounsaturated and polyunsaturated fatty acids increased (p < 0.05) whereas that of saturated fatty acids decreased in the control diet. The biohydrogenation of C18:2n-6 and C18 unsaturated fatty acids was enhanced (p < 0.05) by PFL. These findings suggest that PFL enhances gas production, decreases methane and increases the biohydrogenation of C18:2n6 without disrupting rumen fermentation.
TINGKAT KEPUASAN PASIEN TERHADAP PELAYANAN POLI UMUM DI KLINIK PRATAMA DIPONEGORO I KOTA SEMARANG BERDASARKAN DIMENSI KUALITAS
Authors: Asti Helwa Firdausa , Budiyanti Rani Tiyas , Kusumastuti Wulan
Published: August 2024

The importance of Quality Improvement (QI) in health services is to improve the quality of health services continuously. Quality Improvement (I) can minimize complaints and achieve patient satisfaction. Based on JKN data, the Diponegoro I Primary Clinic is the primary clinic with the highest number of participants in Semarang City, namely 27,522 participants. Based on unstructured interviews with the clinic manager, the high level of complaint reports from patients because of dissatisfaction with the general poly services at the Diponegoro I Primary Clinic. The aim of this research is to analyze the level of patient satisfaction for general poly services at the Diponegoro I Primary Clinic through a balance between expectations and performance in the quality dimension (SERVQUAL). This research is a descriptive quantitative type with a cross-sectional design. The total research sample was 110 general poly patients. The data analysis technique uses the Importance-Performance Analysis (IPA) method, which consists of suitability level analysis and quadrant analysis. The research results show the level of conformity of quality dimensions is 95.78%. While each dimension is tangible (96.88%), reliability (94.17%), responsiveness (96.50%), assurance (96.54%), and empathy (94.81%). There are items should be improved by the clinic, toilet facilities cleanliness, service time by online registration system implementation, service procedure information to patients, doctor’s scheduled board updates, and SOPs implementation to inform medicine side effects to patients. The improvement to increase the level of patient satisfaction.
Evaluation of the Productive Age Health Services Implementation in Bekasi City
Authors: Muhammad Khansa Fatihah , Achadi Anhari
Published: August 2024

AbstractIntroduction: Productive-age health services in Bekasi have not reached the standard target of 100%. By 2023, the percentage of productive-age health services was 27.96%. Therefore, this study aims to conduct a formative evaluation of the implementation of productive-age health services in Bekasi City based on the logical framework, especially in the Mustika Jaya Community Health Centre and Rawa Tembaga Community Health Centre.Methods: This was a qualitative study with a case study design conducted over two weeks. The data were collected through in-depth interviews. The informants were selected based on the principles of appropriateness and adequacy.Results: The study found that while health equipment, funding, and human resources are generally adequate, challenges persist in data management and human resource capacity-building. The recording and reporting system, SI-PTM, requires improvement in integrated data management. There is a need for increased awareness among the target population through innovative outreach programmes. The short-term goal of productive-age health services aligns with the long-term vision outlined in RPJMD.Conclusion:  The implementation of productive-age health services in Bekasi City requires further improvement to achieve the 100% minimum health service standard. Community Health Centers in Bekasi City can enhance cross-program and cross-sectoral collaboration with productive-age health services, increase people's awareness with an innovative outreach, and ensure that human resources in productive-age health services receive training.
Tradisi Cawisan dan Otoritas Religius Habaib dalam Pembentukan Citra Islam di Palembang pada Awal Abad ke-21
Authors: Luthfi Muhammad Ilmi , Syarifuddin Syarifuddin , Yusuf Syafruddin
Published: August 2024

This article discusses on the religious authority of the Habaib in Palembang, starting from the arrival of the Habaib, namely during the sultanate, post-sultanate periods and its relationship with the Cawisan culture in Palembang. Cawisan are joint dhikr activities, public lectures, recitations held in mosques, prayer rooms and other places devoted to religious learning. Interest in cawisan in Palembang during the New Orde experienced a decline for various reasons. In the end, the Habaib became the new authority in the midst of Palembang's Muslim community by actively teaching in the cawisan room at the beginning of the  21st  century. The issues raised in this study are Cawisan culture in the early  21st  century and the religious authority of Habaib in Cawisan culture in Palembang. This type of research is a qualitative approach and is carried out based on the right data through interviews with four informants namely Habib Mahdi Muhammad Syahab, Habib Ali Karror al-Haddad, Raden Muhammad Ikhsan, and Kemas Andi Syarifuddin. The results of this study indicate that the Habaib have a role accompanied by authority in the cawisan culture at the beginning of the  21st  century while in the previous era the independent kiai were much more influential in the cawisan culture.
Belajar dari Sejarah: Refleksi atas Warisan Kolonial dan Praktik Pelestarian Sumber Daya Alam di Indonesia
Authors: Tanaya Haidar Trisna
Published: August 2024

Indonesia has a long history of both exploitation and nature conservation. Even before the arrival of Western nations, the concept of conservation was known to the people. Despite Western colonialism, often being associated with natural exploitation, it is also contributed to various forms of nature conservation in Indonesia, some of which are still implemented today. This study was analyzed using historical methods with emphasis on the stages of source selection and source criticism. Based on this study, the fact is that natural conservation legacies such as nature reserves, national parks and wildlife sanctuaries are actually originated from the colonial government. The establishment of rules governing nature conservation during the colonial periodundersores the seriousness of their efforts in this regard. The existence of various nature conservation efforts carried out by the community before and during the Western colonialism serves as a reflection of Indonesia’s commitment to nature conservation efforts. Their efforts, including the process of establishing nature reserves and regulations in terms of conservation, provide valuable  lessons, especially when Indonesia is currently faced with various environmental and ecological issues and the threat of a natural crisis.
Menjaga Warisan Bangsa: Upaya Perlindungan terhadap Tinggalan Megalitik di Kabupaten Sigi Sulawesi Tengah
Authors: Husain Sarkawi B. , Rabani La Ode , Haliadi Haliadi , Rijal Andi Syamsu
Published: August 2024

Central Sulawesi is renowned for its abundance of vital megalithic remnants, with Poso and Sigi districts standing out as key areas with thousands of such remains. This article delves into the endeavors aimed at safeguarding these megalithic remnants, particularly those located in Sigi Regency, notably in Watunonju Village of Sigi Kota District and Loru Village of Sigi Bureaumaru District, commonly referred to as Watunonju. Many of the megalithic remnants preserved in these areas are stone mortars, locally known as "vatunonju". Preserving this invaluable heritage requires concerted protection efforts, including reinforcing customary laws that dictate fines for any damage inflicted upon the sites, elevating the status of these sites to a higher level, both provincially and nationally, and establishing and engaging a community dedicated to the conservation of megalithic remnants and other historical artifacts.
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models
Authors: Campos David , Yang Bin , Kieu Tung , Zhang Miao , Guo Chenjuan , Jensen Christian S.
Published: August 2024

We are witnessing an increasing availability of streaming data that may contain valuable information on the underlying processes. It is thus attractive to be able to deploy machine learning models, e.g., for classification, on edge devices near sensors such that decisions can be made instantaneously, rather than first having to transmit incoming data to servers. To enable deployment on edge devices with limited storage and computational capabilities, the full-precision parameters in standard models can be quantized to use fewer bits. The resulting quantized models are then calibrated using back-propagation with the full training data to ensure accuracy. This one-time calibration works for deployments in static environments. However, model deployment in dynamic edge environments call for continual calibration to adaptively adjust quantized models to fit new incoming data, which may have different distributions with the original training data. The first difficulty in enabling continual calibration on the edge is that the full training data may be too large and thus cannot be assumed to be always available on edge devices. The second difficulty is that the use of back-propagation on the edge for repeated calibration is too expensive. We propose QCore to enable continual calibration on the edge. First, it compresses the full training data into a small subset to enable effective calibration of quantized models with different bit-widths. We also propose means of updating the subset when new streaming data arrives to reflect changes in the environment, while not forgetting earlier training data. Second, we propose a small bit-flipping network that works with the subset to update quantized model parameters, thus enabling efficient continual calibration without back-propagation. An experimental study, conducted with real-world data in a continual learning setting, offers insight into the properties of QCore and shows that it is capable of outperforming strong baseline methods.
Efficient Algorithms for Pseudoarboricity Computation in Large Static and Dynamic Graphs
Authors: Zhang Yalong , Li Rong-Hua , Zhang Qi , Qin Hongchao , Qin Lu , Wang Guoren
Published: August 2024

The arboricity
a
(
G
) of a graph
G
is defined as the minimum number of edge-disjoint forests that the edge set of
G
can be partitioned into. It is a fundamental metric and has been widely used in many graph analysis applications. However, computing
a
(
G
) is typically a challenging task. To address this, an easier-to-compute alternative called pseudoarboricity was proposed. Pseudoarboricity has been shown to be closely connected to many important measures in graphs, including the arboricity and the densest subgraph density
ρ
(
G
). Computing the exact pseudoarboricity can be achieved by employing a parametric max-flow algorithm, but it becomes computationally expensive for large graphs. Existing 2-approximation algorithms, while more efficient, often lack satisfactory approximation accuracy. To overcome these limitations, we propose two new approximation algorithms with theoretical guarantees to approximate the pseudoarboricity. We show that our approximation algorithms can significantly reduce the number of times the max-flow algorithm is invoked, greatly improving its efficiency for exact pseudoarboricity computation. In addition, we also study the pseudoarboricity maintenance problem in dynamic graphs. We propose two novel and efficient algorithms for maintaining the pseudoarboricity when the graph is updated by edge insertions or deletions. Furthermore, we develop two incremental pseudoarboricity maintenance algorithms specifically designed for insertion-only scenarios. We conduct extensive experiments on 195 real-world graphs, and the results demonstrate the high efficiency and scalability of the proposed algorithms in computing pseudoarboricity for both static and dynamic graphs.
RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search
Authors: Chen Meng , Zhang Kai , He Zhenying , Jing Yinan , Wang X. Sean
Published: August 2024

Approximate Nearest Neighbor Search (ANNS) is a fundamental and critical component in many applications, including recommendation systems and large language model-based applications. With the advancement of multimodal neural models, which transform data from different modalities into a shared high-dimensional space as feature vectors, cross-modal ANNS aims to use the data vector from one modality (e.g., texts) as the query to retrieve the most similar items from another (e.g., images or videos). However, there is an inherent distribution gap between embeddings from different modalities, and cross-modal queries become Out-of-Distribution (OOD) to the base data. Consequently, state-of-the-art ANNS approaches suffer poor performance for OOD workloads.

In this paper, we quantitatively analyze the properties of the OOD workloads to gain an understanding of their ANNS efficiency. Unlike single-modal workloads, we reveal OOD queries spatially deviate from base data, and the k-nearest neighbors of an OOD query are distant from each other in the embedding space. The property breaks the assumptions of existing ANNS approaches and mismatches their design for efficient search. With the insights from the OOD workloads, we propose p
Ro
jected bipartite
Graph
(
RoarGraph
), an efficient ANNS graph index that is built under the guidance of query distribution. Extensive experiments show that RoarGraph significantly outperforms state-of-the-art approaches on modern cross-modal datasets, achieving up to 3.56× faster search speed at a 90% recall rate for OOD queries.
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks
Authors: Guliyev Rustam , Haldar Aparajita , Ferhatosmanoglu Hakan
Published: August 2024

Graph Neural Network (GNN) models on streaming graphs entail algorithmic challenges to continuously capture its dynamic state, as well as systems challenges to optimize latency, memory, and throughput during both inference and training. We present D3-GNN, the first distributed, hybrid-parallel, streaming GNN system designed to handle real-time graph updates under online query setting. Our system addresses data management, algorithmic, and systems challenges, enabling continuous capturing of the dynamic state of the graph and updating node representations with fault-tolerance and optimal latency, load-balance, and throughput. D3-GNN utilizes streaming GNN aggregators and an unrolled, distributed computation graph architecture to handle cascading graph updates. To counteract data skew and neighborhood explosion issues, we introduce inter-layer and intra-layer windowed forward pass solutions. Experiments on large-scale graph streams demonstrate that D3-GNN achieves high efficiency and scalability. Compared to DGL, D3-GNN achieves a significant throughput improvement of about 76x for streaming workloads. The windowed enhancement further reduces running times by around 10x and message volumes by up to 15x at higher parallelism.
TC-Match: Fast Time-Constrained Continuous Subgraph Matching
Authors: Yang Jianye , Fang Sheng , Gu Zhaoquan , Ma Ziyi , Lin Xuemin , Tian Zhihong
Published: August 2024

Continuously monitoring structural patterns in streaming graphs is a critical task in many real-time graph-based applications. In this paper, we study the problem of time-constrained continuous subgraph matching (shorted as TCSM) over streaming graphs. Given a query graph
Q
with timing order constraint and a data graph stream
G
, TCSM aims to report all incremental matches of
Q
in
G
for each update of
G
, where a match should obey both structure constraint (i.e., isomorphism) and timing order constraint of
Q.
Although TCSM has a wide range of applications, such as cyber-attack detection and credit card fraud detection, we note that this problem has not been well addressed. The state-of-the-art bears the limitations of high index space cost and intermediate result maintenance cost. In this paper, we propose TC-Match, an effective approach to TCSM. First, we design a space and time cost-effective index CSS, which is essentially a
k
-partite graph structure where a node corresponds to an edge in
G.
By carefully creating links between nodes, we can encapsulate into CSS the partial embedding and timing order information between edges in
G.
We theoretically show that CSS has polynomial space and construction time complexities. Second, based on the property of CSS, we develop an efficient incremental matching algorithm with an effective node merging optimization. Extensive experiments show that TC-Match can achieve up to 3 orders of magnitude query performance improvement over the baseline methods, and meanwhile the memory consumption is reduced by 48.7%-86.7%.
Evolution Forest Index: Towards Optimal Temporal
k
-Core Component Search via Time-Topology Isomorphic Computation
Authors: Yang Junyong , Zhong Ming , Zhu Yuanyuan , Qian Tieyun , Liu Mengchi , Yu Jeffrey Xu
Published: August 2024

For a temporal graph like transaction network, finding a densely connected subgraph that contains a vertex like a suspicious account during a period is valuable. Thus, we study the Temporal
k
-Core Component Search (TCCS) problem, which aims to find a connected component of temporal
k
-core for any given vertex and time interval. Towards this goal, we propose a novel Evolution Forest Index (EF-Index) that can address TCCS in optimal time. Essentially, EF-Index leverages the evolutionary order on temporal
k
-cores to both compress the connectivity between vertices in temporal
k
-cores of all time intervals into a minimum set of compactest Minimum Temporal Spanning Forests (MTSFs) and retrieve MTSF for a given time interval rapidly. Here, a crucial innovation is that, we extend the temporal
k
-core evolution theory by introducing a pair of time-topology isomorphic relations, on top of which the evolutionary order in topology domain can be simply computed by a "kernel function" in time domain. Moreover, we design an efficient mechanism to update EF-Index incrementally for dynamic edge streams. The experimental results on a variety of real-world temporal graphs demonstrate that, EF-Index outperforms the state-of-the-art approach by 1--3 orders of magnitude on processing TCCS, and its space overhead is reduced by 4--5 orders of magnitude compared with preserving connectivity uncompressedly.
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization
Authors: Takagi Shun , Xiong Li , Kato Fumiyuki , Cao Yang , Yoshikawa Masatoshi
Published: August 2024

Human mobility data offers valuable insights for many applications such as urban planning and pandemic response, but its use also raises privacy concerns. In this paper, we introduce the Hierarchical and Multi-Resolution Network (HRNet), a novel deep generative model specifically designed to synthesize realistic human mobility data while guaranteeing differential privacy. We first identify the key difficulties inherent in learning human mobility data under differential privacy. In response to these challenges, HRNet integrates three components: a hierarchical location encoding mechanism, multi-task learning across multiple resolutions, and private pre-training. These elements collectively enhance the model's ability under the constraints of differential privacy. Through extensive comparative experiments utilizing a real-world dataset, HRNet demonstrates a marked improvement over existing methods in balancing the utility-privacy trade-off.
Complex Event Recognition with Symbolic Register Transducers
Authors: Alevizos Elias , Artikis Alexander , Paliouras Georgios
Published: August 2024

We present a system for Complex Event Recognition (CER) based on automata. While multiple such systems have been described in the literature, they typically suffer from a lack of clear and denotational semantics, a limitation which often leads to confusion with respect to their expressive power. In order to address this issue, our system is based on an automaton model which is a combination of symbolic and register automata. We extend previous work on these types of automata, in order to construct a formalism with clear semantics and a corresponding automaton model whose properties can be formally investigated. We call such automata Symbolic Register Transducers (SRT). The distinctive feature of
SRT
, compared to previous automaton models used in CER, is that they can encode patterns relating multiple input events from an event stream, without sacrificing rigor and clarity. We show how
SRT
can be used in CER in order to detect patterns upon streams of events, using our framework that provides declarative and compositional semantics. We also compare our
SRT
-based CER engine against other state-of-the-art CER systems and show that it is both more expressive and more efficient.
Optimizing Video Queries with Declarative Clues
Authors: Chao Daren , Chen Yueting , Koudas Nick , Yu Xiaohui
Published: August 2024

Video Database Management Systems (VDBMS) leverage advancements in computer vision and deep learning for efficient video data analysis and retrieval. This paper introduces the concept of user-specified Clues, allowing users to incorporate domain-specific knowledge, referred to as Clues, into query optimization. Clues are expressed as Clue types, each associated with optimization rules, and applied to queries through Clue instances. The extensible ClueVQS system we present to incorporate these ideas, optimizes queries automatically, utilizing Clues to improve processing efficiency. We also introduce algorithms to optimize queries using Clues allowing for trade-offs between speed and query accuracy. Our proposals and system address challenges such as data-dependent Clue effectiveness, limiting search space, and accuracy-efficiency trade-offs. Detailed experimental results demonstrate query speedups of up to two orders of magnitude compared to other applicable approaches, and a reduction of the query optimizer time by up to 95% while respecting user-specified accuracy constraints, showcasing the effectiveness of the proposed framework.
DDS: DPU-Optimized Disaggregated Storage
Authors: Zhang Qizhen , Bernstein Philip A. , Chandramouli Badrish , Hu Jiasheng , Zheng Yiming
Published: August 2024

This paper presents DDS, a novel disaggregated storage architecture enabled by emerging networking hardware, namely DPUs (Data Processing Units). DPUs can optimize the latency and CPU consumption of disaggregated storage servers. However, utilizing DPUs for DBMSs requires careful design of the network and storage paths and the interface exposed to the DBMS. To fully benefit from DPUs, DDS heavily uses DMA, zero-copy, and userspace I/O to minimize overhead when improving throughput. It also introduces an offload engine that eliminates host CPUs by executing client requests directly on the DPU. Adopting DDS' API requires minimal DBMS modification. Our experimental study and production system integration show promising results---DDS achieves higher disaggregated storage throughput with an order of magnitude lower latency, and saves up to tens of CPU cores per storage server.
Efficient
k
NN Search in Public Transportation Networks
Authors: Feng Qingshuai , Zhang Junhua , Zhang Wenjie , Qin Lu , Zhang Ying , Lin Xuemin
Published: August 2024

Public transportation plays a vital role in mitigating traffic congestion and reducing carbon emissions. The
Top-k Nearest Neighbor
(
k
NN) search in public transportation networks is a fundamental problem in location-based services, which aims to find
k
nearest objects from a given query point. The traditional method, Dijkstra's algorithm has been employed to tackle the
k
NN problem, however, it is notably inefficient in processing queries. While other works precompute an index to speed up query processing. However, they are still slow in processing queries. Furthermore, they cannot scale to large graphs due to their reliance on resource-intensive path indexes. To address these limitations, we introduce a novel index-based approach that utilizes a simple yet effective index structure to handle
k
NN queries with a near-optimal time complexity. The index does not rely on a path index, making it efficient to construct and scalable to large graphs. Extensive experiments are conducted on real-world datasets to demonstrate the efficiency and scalability of our approach. The results show that our approach outperforms existing solutions by up to four orders of magnitude in query processing and two orders of magnitude in index construction.
Growth kinetics of Fe2B layer formed on the surface of borided AISI M2 high-speed steel
Authors: Aydogmus Tuna , Çicek Bünyamin , Topuz Polat , Aydin Özlem
Published: August 2024

In this study, the growth kinetics of the Fe2B layer was investigated and formed on the surface of borided AISI M2 high-speed steel. Boriding treatments carried out by the pack-boriding method were carried out using Ekabor 2 boriding agent at 1,173, 1,273, and 1,373 K for 2, 4, and 6 h. After the boriding processes, the samples were prepared metallographically and their microstructures were examined with the help of backscattered electrons (BE) by scanning electron microscope (SEM). Following SEM examinations, microhardness measurements were carried out from a single sample using 100 g with the Vickers indentation method to understand whether the layer hardness was compatible with Fe2B. When the results of the experimental studies are compared with the results of the literature, it has been determined that AISI M2 high-speed steel can be borided and the boride layer formed on the surface is single-phased (Fe2B), unlike that formed on many other steel types. After determining that the layer formed on the borided AISI M2 surface is single-phase Fe2B, the growth kinetics calculations of this phase were carried out with the help of the Arrhenius equation.
Crossroads Interdisciplinary Health Research Conference Abstracts 2024
Authors: Healthy Populations Journal
Published: August 2024

Abstracts are organized in alphabetical order by the first author's surname (click on the "HPJ_Crossroads_2024.pdf" on the right).
OTONOM ARAÇLARLA GERÇEKLEŞEN KAZALARDA ARAÇ SÜRÜCÜLERİNİN VE ÜRETİCİLERİNİN CEZA SORUMLULUĞU
Authors: Demirel Muhammed
Published: August 2024

Teknolojinin gelişmesi, ulaşım alanında da etkisini göstermiştir. Bu çerçevede öncelikle olası kazalarda sürücüyü ve yolcuları korumak amacıyla hava yastıkları geliştirilmiş, bunu sürücünün araç sürüşünü kolaylaştıran hız takip asistanı, şerit takip asistanı, park asistanı gibi diğer teknolojik gelişmeler takip etmiştir. Nihayetinde bu sistemlerin geliştirilmesiyle günümüzde sürücünün sürekli olarak kontrolünün bulunmadığı, bununla birlikte sürücünün belirli durumlarda müdahalesinin gerekli olduğu araçlar üretilmiştir ki bu araçlara “otonom araç” adı verilmektedir. Bu araçlarla birlikte karayollarında olası kazalar engellenmeye çalışılmaktadır. Ancak bu araçların kontrolünün sürücüden sisteme geçmiş olması, aracın sistem kontrolünde bulunduğu esnada sürücünün başka işlerle meşgul olması gibi yeni durumlar nedeniyle kazaların gerçekleşme şekli değişmiştir. Dolayısıyla sürücüler başta olmak üzere bu araçlarla ilgili kişilerin hukuki ve ceza sorumluluklarının belirlenmesi noktasında yeni tartışmalar ortaya çıkmıştır. Hatta bu nedenle birçok ülkede otonom araçların trafikte kullanıma girmesine yönelik olarak kanunlarda değişiklikler yapılmakta ve olası hukuki sorunlara çözüm getirmeye çalışılmaktadır. Bu çalışmada, ceza hukuku bağlamında ortaya çıkan hukuki tartışmalara ve getirilen çözümlere değinilecek, ülkemiz mevzuatında ne tür değişikliklerin yapılabileceğine ilişkin bir öneri sunulacaktır.
Kabahatler Hukukunda Başvuru Kanun Yolu
Authors: Cin Mehmet Onursal
Published: August 2024

Hukukumuzda, devlet idaresi, kamu düzeni, genel sağlık ve ekonomiye ilişkin kabahat niteliğindeki fiillerin yaptırımı idareye bırakılmış, ancak idarenin bütün tasarruflarına karşı da kanun yolu açılmıştır. Kanun koyucu bireyin, idarenin tüm eylem ve işlemlerine karşı gerek adli ve gerekse idari yargı yerlerine başvurabilmesinin yollarını öngörmüştür.
Kabahatler Kanunu, idari yaptırımlara karşı “başvuru” ve “itiraz” olmak üzere iki yargı yolu düzenlemiştir. Kabahatler Kanunu’nun 27. maddesinde, idare veya Cumhuriyet savcısı tarafından verilen idari yaptırım kararına karşı on beş gün içinde sulh ceza mahkemesine başvurulmasını “başvuru”; 6217 sayılı Kanun ile değişik 29. maddesinde ise, başvuru üzerine sulh ceza mahkemesinin verdiği karar ile bir mahkemenin doğrudan verdiği idari yaptırım kararına karşı CMK 268/3. maddede belirtilen mercilere başvurulmasını da “itiraz yolu” olarak düzenlemiştir. Çalışmamızda idari yaptırım kararlarına karşı kural olarak ilk aşamadaki kanun yolu olarak öngörülen başvuru yolu ele alınmaktadır.
Pusiau struktūruotas interviu asmenybės funkcionavimo vertinimui STiP-5.1: lietuviškosios versijos psichometrinių savybių tyrimas paauglių imtyje
Authors: Barkauskienė Rasa , Gaudiešiūtė Elena , Saročkaitė Agnė , Binkauskas Ugnius , Gerliakaitė Ieva , Pliučienė Kristina
Published: August 2024

In recent years the dimensional approach in personality pathology has gained prominence and the level of personality functioning (LPF) has emerged as the primary criterion of personality disorder. LPF is defined as functioning of self- and interpersonal processes encompassing the continuum from adaptive to impaired. Recognizing that the early intervention is crucial for personality disorder, reliable and valid diagnostic methods are necessary for identifying the risk of personality pathology during adolescence. The Semi-Structured Interview for Personality Functioning (STiP-5.1) has shown good psychometric properties among adults, yet has been little researched in adolescents. The aim of this study is to evaluate the psychometric properties of the Lithuanian version of STiP-5.1 in a sample comprising adolescents receiving mental health services and typical (normative) development. The study involved 178 adolescents (aged 11–18; clinical (n = 104) and normative (n = 74) groups). Besides the Semi-Structured Interview for Personality Functioning (STiP-5.1), other measures to assess self-reported level of personality functioning, borderline personality features, and maladaptive personality traits along with measures of psychopathological symptoms, including internalizing and externalizing difficulties, were used. The findings suggest a unidimensional structure of STiP-5.1. High internal consistency and good inter-rater reliability for the overall STiP-5.1 scale were found along with results indicating strong associations between STiP-5.1 and other personality pathology measures in support for construct validity. The instrument differentiated between the normative development and clinical samples with large effect size. In conclusion, the results reveal adequate psychometric characteristics of the Lithuanian version of STiP-5.1 supporting its potential application with adolescents experiencing mental health difficulties.
2024–2025 Seasonal Influenza Vaccine Codes: Quick Reference
Authors:   American Academy of Pediatrics
Published: August 2024

As discussed in “Back to Future: 2024–2025 Influenza Vaccine Coding” elsewhere in this issue, all the vaccine products for the 2024–2025 influenza season are trivalent vaccines.This article includes a quick reference table of the codes used to report provision of the influenza vaccine products.
AAP Pediatric Coding Newsletter
™ September 2024 Quiz (Online Exclusive)
Authors:   American Academy of Pediatrics
Published: August 2024

Quiz for AAPC Continuing Education Units
PENDAMPINGAN KOMUNITAS MASYARAKAT DALAM PEMBUATAN BRIKET DARI LIMBAH KULIT KAKAO DI KELURAHAN LUBANG PANJANG KOTA SAWAHLUNTO
Authors: Budiman Novi , Putri Pera Agustia , Afni Rahmaviatio , Sartika Rany , Putri Ririn Harmi , Irwanie Rorie , Rahmadhani Suci
Published: August 2024

Lubang Panjang merupakan salah satu kelurahan yang terdapat di Kecamatan Barangin Kota Sawahlunto. Kelurahan ini memiliki luas wilayah 231,93 Km2. Masyarakat kelurahan Lubang Panjang sangat mengantungkan hidupnya dari pertanian dan perkebunan. Menurut data potensi kelurahan memiliki luas wilayah perkebunan dan pertanian sekitar 938,68 Ha. Salah satu komoditi pertanian dan perkebunan yang paling dominan adalah kakao. Masalah yang dihadapi oleh masyarakat kelurahan lubang adalah limbah kulit kakao yang menumpuk setiap kali panen dan bahkan limbah tersebut menghasilkan bau yang kurang sedap. Untuk mengatasi masalah tersebut Tim KKN UIN Mahmud Yunus Batusangkar melakukan pendampingan pengolahan limbah kulit kakoa agar dapat termanfaatkan dan bernilai ekonomis dalam bentuk kegiatan pelatihan pengolahan limbah kulit kakao menjadi briket. Pelatihan ini diikuti sebanyak 15 orang dari komunitas masyarakat yang terdiri dari ibu rumah tangga, karang taruna, dan perangkat kelurahan. Metode dalam pelatihan ini dibagi kedalam dua tahap yakni penyampaian materi tentang manfaat dan cara pengolahan briket dari limbah kulit kakoa dan tahap kedua adalah praktek pembuatan briket. Pelatihan ini mendapat respon positif dari para peserta dan para peserta mengikuti kegiatan ini sangat antusias.

Kata Kunci: Briket, Limbah Kulit Kakau, Lubang Panjang
PEMBELAJARAN LITERASI DAN NUMERASI BERBASIS DIGITAL BAGI GURU SEKOLAH DASAR
Authors: Yudha Chrisnaji B. , Kusuma Arie Purwa , S. Elsa Putri , S. Innesry , W. Eries Riski
Published: August 2024

Peran teknologi informasi dalam penyusunan bank soal saat ini memang sangat dibutuhkan dan diharuskan. Mengingat di era sekarang teknologi menjadi pokok utama dalam berbagai aktivitas. Teknologi dapat mempermudah implementasi proses pembelajaran serta evaluasi yang berbasis literasi dan numerasi. Guru mempunyai peran yang esensial dan memiliki pengaruh besar terhadap kualitas pembelajaran, terutama pada era digitial pada saat ini. Tujuan kegiatan pengabdian masyarakat yang dilakukan oleh STKIP Kusuma Negara ini adalah untuk meningkatkan budaya literasi dan numerasi di sekolah dan untuk mengetahui bagaimana peran literasi dalam kehidupan bermasyarakat pada era digital saat ini yang akan terus menerus dengan adanya perkembangan teknologi. Budaya literasi sendiri mempunyai hubungan dalam menumbuhkan minat membaca dan menulis anak pada pendidikan tingkat sekolah dasar.. Dalam menumbuhkan minat membaca, menulis dan berhitung, budaya literasi dan numerasi merupakan kunci terpenting dalam terealisasinya minat tersebut. Program pengabdian dilakukan secara kolaboratif oleh kelompok dosen dan mahasiswa. Subjek pengabdian ini adalah guru, calon guru SD dan mahasiswa yang telah mendaftar melalui google form. Hasil pengabdian yang diperoleh adalah meningkatnya pemahaman para guru, calon guru atau mahasiswa terkait pembelajaran literasi dan numerasi berbasis digital.

Kata Kunci: literasi, numerasi, pembelajaran digital
Pengaruh Penggunaan Perangkap Serangga Bersumber Daya Solar Cell Pada Materi Listrik Dinamis Terhadap Literasi Sains Siswa
Authors: Alfiannoor Ahmad , Supriatin Atin , Annovasho Jhelang
Published: August 2024

Penelitian ini bertujuan untuk mengetahui dampak penggunaan perangkap serangga yang dirancang menggunakan sumber daya dari solar cell pada materi listrik dinamis terhadap literasi sains siswa. Literasi sains mengajarkan siswa dalam memahami konsep-konsep sains di dalam kehidupan sehari-hari. Metode penelitian yang diterapkan adalah pre eksperimen dengan desain pre-test post-test control group design, di mana subjek penelitian terdiri dari 30 siswa kelas IX. Instrumen yang digunakan adalah tes literasi sains. Hasil penelitian menunjukkan bahwa penggunaan perangkap serangga yang dirancang dengan solar cell berpengaruh terhadap literasi sains siswa pada materi listrik dinamis. Terdapat peningkatan literasi sains yang diamati setelah perlakuan. Dengan demikian, media pembelajaran dapat menjadi alternatif yang menarik dan efektif dalam meningkatkan literasi sains siswa pada materi listrik dinamis.