bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficacy and Safety of Nerve Growth Factor in Treating Neurotrophic Keratitis Patients: A Meta-Analysis
Authors: Luo Xianling , Tang Aiping 
Published: August 2024

Aims/Background Nerve growth factor has been approved for treating neurotrophic keratitis in Europe and the United States. However, its clinical efficacy and safety profile in neurotrophic keratitis patients have not been systematically evaluated. Therefore, this study systematically assessed the efficacy and safety of nerve growth factor (NGF) in treating patients with neurotrophic keratitis. Methods Various databases, including Wanfang, China National Knowledge Internet (CNKI), Embase, PubMed, and Web of Science were systematically searched. This search included all articles published up to January 2024. Moreover, these articles were thoroughly reviewed and carefully screened following predetermined inclusion and exclusion criteria. Furthermore, the quality of the included studies was assessed using the Cochrane Risk of Bias Manual 5.3 (The Cochrane Collaboration, London, UK). Stata26.0 (StataCorp LLC, College Station, TX, USA) was used for meta-analysis. The outcome indicators evaluated in this study included corneal healing efficiency, corneal complete healing rate, best vision correction rate, ailment progression, and the number of adverse events. Results A total of 4 articles were included in this study, including 293 sufferers. The findings from the meta-analysis revealed that the corneal healing efficiency (odds ratio (OR) = 1.72, 95% confidence interval (CI): 1.20–2.45), the corneal complete healing rate (OR = 2.23, 95% CI: 1.41–3.54), and the best visual acuity correction rate (OR = 1.97, 95% CI: 1.11–3.47) were significantly higher in the experimental group compared to the control group. However, the incidence of ailment progression (OR = 0.44, 95% CI: 0.17–1.13) and adverse events (OR = 0.88, 95% CI: 0.50–1.56) did not show significant differences between these two groups. Conclusion In summary, for patients with neuropathic keratitis, NGF treatment can promote corneal healing efficiency, effectively improve visual correction, and reduce disease progression and incidence of adverse events to a large extent. The clinical effect and safety are high, and it is worthy of clinical promotion and application.
Factors associated with glycaemic control and diabetes complications in patients at Bugando Medical Centre, Mwanza, Tanzania: A cross-sectional study design
Authors: Muchunguzi Aneth H. , Kimaro Emmanuel , Konje Eveline T. , Kidenya Benson R. , Mori Amani T. , Kaale Eliangiringa 
Published: August 2024

Background
Glycaemic control is essential for improving the quality of life in patients with Diabetes Mellitus (DM). Untreated hyperglycaemia can result in numerous severe and life-threatening complications, such as damage to the eyes, kidneys, nerves, heart, and peripheral vascular system. Appropriate glycaemic control and management is fundamental to prevent and delay diabetes complications. Therefore, this study aims to assess the prevalence of poor glycaemic control, its associated factors, and the prevalence of diabetes-related complications among DM patients.

Methods
A cross-sectional study was conducted among 340 DM patients treated at Bugando Medical Center from 4th - 30th April 2023 to determine the prevalence of poor glycaemic control and its predictors. Secondary data from 7952 DM patients treated between April 2022 and 30th May 2023 were used to determine DM-related complications. STATA 15 version …was used for analysis.

Results
Out of 340 patients, 66.4% had poor glycaemic control with HbA1c or Random Blood Glucose greater than 7% or 7mmol/L, respectively. Older age, duration of DM of more than 10 years, insulin therapy, and those unaware of glycaemic target goals were factors associated with poor glycaemic control. (AOR: 2.46, 95% CI: 1.28–6.01, P = 0.03), (AOR: 3.15, 95% CI: 2.22–6.55, P = 0.016), (AOR: 3.07, 95% CI: 2.10–6.12, P = 0.022) and (AOR: 3.42, 95% CI: 2.17–5.97, P = 0.001), respectively. Of the 7952 patient records reviewed indicated that 44.5% had complications, of which 25.8% had neurological complications and 55.3% had multiple complications.

Conclusion
Two-third of DM patients failed to achieve good glycaemic control and about half of the patient’s records reviewed indicated they developed diabetic complications. Thus appropriate interventions are necessary to improve glycaemic control and prevent or control complications among DM patients.
PELAKSANAAN KONSELING BAGI PECANDU NARKOBA DI BADAN NARKOTIKA NASIONAL KABUPATEN TAPANULI SELATAN
Authors: Hidayat Arifin 
Published: August 2024

Abuse of drug use is increasingly widespread, ranging from children, adolescents, adults, to the elderly. Users of various academic circles, politicians, artists (public vigur), and even students also use drugs. According to data released by BNN until March 2021, the Covid-19 situation also confiscated 3,462.75 kg of cannabis evidence, an increase of 143.64 percent compared to 2,419 kg of evidence in 2020. Even President Jokowi Dodo mentioned drug dealers and users. sentenced to death, but it turns out that there are still many people who consume drugs. This condition is very worrying and requires alternative solutions to change the behavior of drug addicts, BNN as one of the official state institutions in charge of dealing with drugs, it is important to make its best efforts, one of which is through counseling. This study wanted to describe the counseling process at the BNN in South Tapanuli Regency for drug addicts. Furthermore, this study uses a descriptive qualitative approach to the field. As for the results of the research, that BNN carried out the counseling process through the stages of assessment, planning, implementation, evaluation, and follow-up. However, there are still several obstacles, including: the introverted nature of the counselee, indiscipline, self-awareness, the counselor's academic ability, facilities and so on. So far, South Tapanuli BNNK has managed to cure 25 of 75 drug addicts. While those who have not recovered are still in the process of rehabilitation. As for the results of the research, that BNN carried out the counseling process through the stages of assessment, planning, implementation, evaluation, and follow-up. However, there are still several obstacles, including: the introverted nature of the counselee, indiscipline, self-awareness, the counselor's academic ability, facilities and so on. So far, South Tapanuli BNNK has managed to cure 25 of 75 drug addicts. While those who have not recovered are still in the process of rehabilitation. As for the results of the research, that BNN carried out the counseling process through the stages of assessment, planning, implementation, evaluation, and follow-up. However, there are still several obstacles, including: the introverted nature of the counselee, indiscipline, self-awareness, the counselor's academic ability, facilities and so on. So far, South Tapanuli BNNK has managed to cure 25 of 75 drug addicts. While those who have not recovered are still in the process of rehabilitation. South Tapanuli BNNK has successfully cured 25 of 75 drug addicts. While those who have not recovered are still in the process of rehabilitation. South Tapanuli BNNK has successfully cured 25 of 75 drug addicts. While those who have not recovered are still in the process of rehabilitation.
Keywords: Counseling, Drug Addict, Behavioral Counseling
Mohammad Sjafei: A Nationalist Educator in West Sumatra
Authors: Wati Listia Anita , Rochwulaningsih Yety , Puguh Dhanang Respati 
Published: August 2024

This article discusses Mohammad Sjafei's nationalist thoughts in the fields of politics and education from 1914 to 1958. This research uses historical methods. The article contains a description of how the educational system under the Ethical Policy program provided opportunities for the rise of nationalism among the indigenous people. The expansion of education encouraged openness of mind and knowledge among the indigenous population. This process of nationalist awakening stimulated the emergence of national thinkers who played a role in the struggle during the movement era. The role and contribution of these national thinkers are important to study in order to enhance understanding and knowledge in the field of intellectual history. One such national thinker examined in this article is Mohammad Sjafei. He was a national education figure who had nationalist thoughts in the fields of politics and education. His nationalist thoughts in politics encompassed values of unity, national loyalty, and love for the nation. His nationalist thoughts in education emphasized the importance of forming the nation’s identity and promoting education that is Indonesiacentric. Sjafei implemented these two nationalist thoughts in his educational practices at Indonesisch Nederlandsche School Kayutanam. The school was used as a medium to disseminate nationalistic awareness, sharpen intellectual intelligence, and develop skills.
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.
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.
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.
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.
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

Abstract
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

Abstract
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

Abstract
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.