bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis SWOT Peran Strategis Perpustakaan Sekolah Al-Ittihad Pekanbaru dalam Meningkatkan Pelayanan
Authors: Latiar Hadira , Siddik Muhammad Nur Fakhri , Nadiva Salsabila Siti , Fadila Rahma , Ammarsah Ammarsah , Andika Sahputra Muhammad 
Published: July 2024

The library has a strategic role in supporting learning and research at Al-Ittihad School. SWOT analysis is carried out to identify strengths, weaknesses, opportunities and challenges. In terms of deficiencies, libraries face the problem of dust on bookshelves, lack of preservation, limited warehouse space, shortage of librarians. However, libraries have advantages such as attractive interior designs, comfortable rooms, and facilities such as sofa chairs, study tables, computers, and well-maintained book collections. The presence of CCTV, lockers, good bookkeeping and textbooks are an added value. The SWOT analysis identified development opportunities, including interior design appeal, expansion of computer use, and potential for community events. The challenges required thoughtful solutions, including regular cleaning, preservation programs, optimization of warehouse space, additional librarian training, investment in refrigeration systems, and installation of security systems. The research method used was qualitative by conducting observations and SWOT analysis at the Al-Ittihad School Library. The library's strengths involve the use of the SLiMS application, availability of WiFi, and appropriately skilled staff. Limited budget for updating collections is one of the weaknesses, even though the level of student and teacher visits has increased. The development plan involves utilizing the latest technology, partnerships with publishers, and support for online learning. Threats come from digital platforms which can threaten the attractiveness of libraries, so libraries need to maintain their existence by creating a comfortable environment. This research aims to provide a comprehensive picture of library conditions and support better strategic planning. By understanding SWOT, libraries can identify priorities, overcome weaknesses, and optimize potential to provide better services to the community
Komparasi Ruang Domestik pada Rumah Tradisional di Desa Gubugklakah Malang dan Desa Sidatapa Buleleng
Authors: Candrakirana Gracella Renia , Siwalatri Ni Ketut Ayu , Wibowo Antonius Karel Mukti 
Published: July 2024

<p><em>The cultural diversity of Indonesia affects the spatial layout and functioning of spaces in residential areas because domestic spaces, which are a room of basic residential activities, are formed from the activities of residents and local beliefs. This research aims to compare domestic spaces in the traditional houses of Gubugklakah Village, Malang, and Sidatapa Village, Buleleng, using comparative qualitative methods through observations, interviews, and documentation studies. The research results show differences where in Gubugklakah Village, the kitchen is positioned at the back of the building, emphasizing its function as a private working area for women. Meanwhile, in Sidatapa Village, the kitchen is placed in the middle of the building with attention to creating a different spatial hierarchy.</em></p>
Cholesterol-lowering effects of oats induced by microbially produced phenolic metabolites
Authors: Simon Marie-Christine , Klümpen Linda , Mantri Aakash , Philipps Maren , Seel Waldemar , Stoffel-Wagner Birgit , Coenen Martin , Weinhold Leonie , Hasenauer Jan , Stehle Peter 
Published: July 2024

Abstract

Oats have various positive effects on human health, but the underlying mechanisms are not fully understood. To identify oat-microbiome-host interactions that contribute to metabolic improvements, we conducted two randomized controlled dietary interventions in individuals with metabolic syndrome, comparing a short-term, high-dose and a six-week, moderate oat intake with respective controls (DRKS00022169). While the moderate oat-diet leads to slight changes in metabolism, gut microbiota and metabolomic profiles, the high-dose oat-diet decreases total cholesterol on average by 8% and low-density lipoprotein cholesterol by 10%, accompanied by distinct changes in metabolomic profiles and gut microbiota. Particularly, the increase in microbially produced phenolic compounds is associated with improved lipid metabolism, suggesting that these compounds are driving factors for the cholesterol-lowering effect of oats, besides the known mechanisms of β-glucan. This newly identified mechanism might be of great potential since a short-term, high-dose oat diet is a suitable and rapid approach to alleviate obesity-related lipid disorders.
A Precise Time-Depth Conversion Method for Coal Seam Based on Machine Learning and Seismic Velocity Inversion
Authors: Yu Hang , Wang Haibo , Wu Leibing , Chen Tongjun 
Published: July 2024

Abstract

Time-depth conversion is a crucial step in 3D seismic interpretation of coalfields. Fast and accurate time-depth conversion is essential for ensuring safe and efficient coal production. However, conventional methods often struggle to balance accuracy with convenience, which makes it difficult to achieve good application results in the coalfield. To address this problem, we proposed a new coal seam time-depth conversion method based on machine learning and seismic velocity inversion. Firstly, a high-precision time-domain layer of the coal seam floor was obtained. Subsequently, the average velocity of the coal seam floor was calculated from boreholes. Following this, post-stack seismic inversion was performed to obtain velocity volumes, and the velocity volumes were subjected to median filtering. Next, machine learning models were trained using the average velocity of the coal seam floor extracted from inverted velocity volume, the average velocity of the coal seam floor calculated and interpolated by control boreholes, and two-way travel times (TWTs) of the coal seam floor as inputs, with actual coal seam floor elevations as the outputs. Finally, different machine learning methods and conventional methods were compared and analyzed for time-depth conversion in coalfield. The results indicate that the Bayesian-SVR model achieved the highest accuracy in time-depth conversion, with a maximum absolute error of only 1.11 meters and a mean absolute error of 0.53 meters at verification boreholes. In summary, this study introduces a machine learning-based coal seam time-depth conversion method that does not require complex velocity models, enhancing efficiency while maintaining high accuracy, which holds significant importance for advancing intelligent coal mining and achieving transparent working faces.
Tissue-specific transcriptomic analysis reveals the meolecular mechanisms responsive to cold stress in Poa crymophila, and development of EST-SSR markers linked to cold tolerance candidate genes
Authors: Tang Liuban , Zheng Yuying , Lu Huanhuan , Qiu Yongsen , Wang Huizhi , Liao Haoqin , Xie Wengang 
Published: July 2024

Abstract

Background Poa crymophila is a perennial, cold-tolerant, native grass species, widely distributed in the Qinghai-Tibet Plateau. However, the molecular mechanism behind the cold stress tolerance and the role of key regulatory genes and pathways of P. crymophila are poorly understood as of. Therefore, in this study, based on the screening and evaluation of cold resistance of four Poa species, the cold resistance mechanism of P. crymophila’s roots, stems, and leaves and its cold resistance candidate genes were investigated through physiological and transcriptomic analyses.
Results Results of the present study suggested that the cold resistance of the four Poa species was in the following order: P. crymophila > P. botryoides > P. pratensis var. anceps > P. pratensis. Cold stress significantly changed the physiological characteristics of roots, stems, and leaves of P. crymophila in this study. In addition, the transcriptome results showed that 4434, 8793, and 14942 differentially expressed genes (DEGs) were identified in roots, stems, and leaves, respectively; however, 464 DEGs were commonly identified in these three tissues. KEGG enrichment analysis showed that these DEGs were mainly enriched in the phenylpropanoid biosynthesis pathway (roots), photosynthesis pathway (stems and leaves), circadian rhythm-plant pathway (stems and leaves), starch and sucrose metabolism pathway (roots, stems, and leaves), and galactose metabolism pathway (roots, stems, and leaves). A total of 392 candidate genes involved in Ca2+ signaling, ROS scavenging system, hormones, circadian clock, photosynthesis, and transcription factors (TFs) were identified in P. crymophila. Weighted gene co-expression network analysis (WGCNA) identified nine hub genes that may be involved in P. crymophila cold response. A total of 200 candidate gene-based EST-SSRs were developed and characterized. Twenty-nine polymorphic EST-SSRs primers were finally used to study genetic diversity of 40 individuals from four Poa species with different cold resistance characteristics. UPGMA cluster and STRUCTURE analysis showed that the 40 Poa individuals were clustered into three major groups, individual plant with similar cold resistance tended to group together. Notably, markers P37 (PcGA2ox3) and P148 (PcERF013) could distinguish P. crymophila from P. pratensis var. anceps, P. pratensis, and P. botryoides.
Conclusions This study provides new insights into the molecular mechanisms underlying the cold tolerance of P. crymophila, and also lays a foundation for molecular marker-assisted selection for cold tolerance improvement in Poa species.
Experimental Research on Enhancing Effectiveness in Teaching the Nature of Seasons
Authors: Semercioğlu Melike Güzin , Kalkan Hüseyin 
Published: July 2024

Abstract

In recent years, studies by education researchers indicate that, despite various instructional methods to enhance the conceptual understanding of seasons, the reasons for the formation of seasons and the processes involved are still not fully grasped. This research aims to investigate the fundamental reasons for the difficulties in comprehending the formation of seasons and to develop possible solutions. To achieve this goal, a physical model based on the "Change in the Amount of Energy Falling onto a Unit Surface (CAEFUS)" of parallel beams of sunlight as Earth orbits around the Sun with a tilted axis of approximately 23.5 degrees was developed and applied to participants, and data were collected. These instructional processes were applied to experimental and control groups. The research was conducted on 148 eighth-grade students in a state school in Samsun province. Exploratory factor analysis was used to analyze students' drawings and separate them into their most prominent elements. The quantitative data analysis, consisting of multiple-choice questions, utilized the SPSS 22.0 statistical program. The data analysis revealed that the CAEFUS-based model significantly impacted the meaningful teaching of the nature of seasons. These results were thoroughly evaluated through a detailed comparison with the literature.
Anti-capsule human monoclonal antibodies protect against hypervirulent and pandrug-resistant Klebsiella pneumoniae
Authors: Kabanova Anna , Roscioli Emanuele , Fonseca Vittoria Zucconi Galli , Bosch Soraya , Paciello Ida , Maccari Giuseppe , Batani Giampiero , Stazzoni Samuele , Cardinali Giulia , Tiseo Giusy , Giordano Cesira , Yuwei Shen , Capoccia Laura , Cardamone Dario , Ridelfi Matteo , Troisi Marco , Manganaro Noemi , Mugnaini Chiara , De Santi Concetta , Ciabattini Annalisa , Cerofolini Linda , Fragai Marco , Licastro Danilo , Nicolau David , Abdelraouf Kamilia , Barnini Simona , Menichetti Francesco , Falcone Marco , Sala Claudia , Rappuoli Rino 
Published: July 2024

Abstract

The silent pandemic caused by antimicrobial resistance (AMR) requires innovative therapeutic approaches. Human monoclonal antibodies (mAbs), which are among the most transformative, safe and effective drugs in oncology and autoimmunity, are rarely used for infectious diseases and not yet used for AMR. Here we applied an antigen-agnostic strategy to isolate extremely potent human mAbs against Klebsiella pneumoniae (Kp) sequence type 147 (ST147), a hypervirulent and pandrug-resistant clonotype which is spreading globally. Isolated mAbs target the bacterial capsule and the O-antigen. Surprisingly, although both capsule- and O-antigen-specific mAbs displayed bactericidal activity in the picomolar range in vitro, only the capsule-specific mAbs were protective against fulminant ST147 bloodstream infection. Protection correlated with in vitro bacterial uptake by macrophages and enchained bacterial growth. Our study describes the only therapeutic able to protect against pandrug-resistant Kp and provides a strategy to isolate mAbs and identify correlates of protection against AMR bacteria.
Solar cell parameters extraction, with less than 10 % error, refining the Co-Content function through an integration of a polynomial fit of I-Isc, in the case of constant percentage noise, and a percentage noise of the maximum current, Imax. Part 1: theoretical analysis and proposal
Authors: Rangel-Kuoppa Victor-Tapio 
Published: July 2024

Abstract

In this Part 1 article of this series of articles, a new methodology to refine the Co-Content function \(\left(CC\left(V,I\right)\right)\) is proposed, consisting on fitting the current minus the short-circuit current \((I-{I}_{sc})\), to an \(N-1\) order polynomial, where \({N}_{points}=N\), is the number of measured current-voltage \(\left(IV\right)\) points, and integrating it to calculate \(CC\left(V,I\right)\). The shunt resistance \(\left({R}_{sh}\right)\), the series resistance \(\left({R}_{s}\right)\), the ideality factor \(\left(n\right)\), the light current \(\left({I}_{lig}\right)\), and the saturation current \(\left({I}_{sat}\right)\), are then deduced, in the case of a constant percentage noise or a percentage noise of the maximum current \(\left({I}_{max}\right)\). In the former case, \({R}_{s}\), \({R}_{sh}, n, \text{a}\text{n}\text{d} {I}_{lig},\) can be deduced with less than 10% error, using only \({P}_{V}=\)51 \(\frac{number of points}{V}\), even if the noise is as large as \({p}_{n}=0.1 \text{\%}\), with a computation time around 80 ms. \({I}_{sat}\) needs \({p}_{n}=0.05 \text{\%}\) or less, and \({P}_{V}\) equal or larger than 501 \(\frac{number of points}{V}\). For the latter case, \({R}_{s}\), \(\text{a}\text{n}\text{d} {I}_{lig},\) can be obtained with less than 10% error, using only \({P}_{V}=\)251 \(\frac{number of points}{V}\), and \({p}_{n}=0.1 \text{\%}\), or smaller, with total computation time around 49 s. \({R}_{sh}, {I}_{sat}, \text{a}\text{n}\text{d} n\) needs that \({p}_{n}\le 0.05 \text{\%}\), and \({P}_{V}=\) 751 \(\frac{number of points}{V}\) or larger. A computation time expression of the form \(time=E{{N}_{points}}^{m}\), is deduced. The methodology proposed in this article is appliable to unevenly/randomly distributed IV data points, and it is implemented in Part 2 in solar cells’ and photovoltaic modules’ experimental \(IV\) reported in the literature, to deduce their five solar cell parameters.
Solar cell parameters extraction, with less than 10 % error, refining the Co-Content function through an integration of a polynomial fit of I-Isc, in the case of constant percentage noise, and a percentage noise of the maximum current, Imax. Part 2: application to experimental current-voltage curves
Authors: Rangel-Kuoppa Victor-Tapio 
Published: July 2024

Abstract

In this article Part 2 of this series of articles, the methodology proposed in Part 1, namely, the fitting to a polynomial of the current minus the short-circuit current, i.e., \(I-{I}_{sc}\), to calculate the Co-Content function \(\left(CC\left(V,I\right)\right)\) and extract the five solar cell parameters, i.e., the shunt resistance \(\left({R}_{sh}\right)\), the series resistance \(\left({R}_{s}\right)\), the ideality factor \(\left(n\right)\), the light current \(\left({I}_{lig}\right)\), and the saturation current \(\left({I}_{sat}\right)\), (within the one-diode solar cell model), is implemented on reported Current-Voltage (IV) curves found in the literature, both for laboratory made solar cells, as for and single-crystalline silicon (x-Si), multi-crystalline silicon (m-Si), cadmium telluride (CdTe), copper indium gallium selenide (CIGS), amorphous silicon (a-Si) tandem and triple-junction, amorphous silicon/crystalline silicon, heterojunction with intrinsic thin-layer (HIT), and amorphous silicon/microcrystalline silicon photovoltaic modules.
Reduced Fertility Rate in Female with Crohn's Disease: A Population-Based Cohort Study in China
Authors: Peng Xiang , Xu Zhaoyuan , Wei Ming , Zhang Min , Deng Jun , Yao Jia-yin , Shi Li-Shuo , Zhi Min 
Published: July 2024

Abstract

Backgroud:
This study aims to clarify the uncertain impact of Crohn’s disease on fertility among Chinese female by comparing their fertility rates with those of the general female population.
Methods
From January 2012 to December 2022, Crohn’s disease patients at Sixth Affiliated Hospital of Sun Yat-sen University were identified through hospital records. Female patients aged 15 to 44 were included. Demographic and fertility data were collected through structured questionnaires. Comparative data for the general population aged 15 to 44 were obtained from the National Bureau of Statistics of China. Age-adjusted overall fertility rate and adjusted fertility rate ratio (AFRR) were calculated using poisson regression, along with fertility rate ratios for 5-year age groups stratified by disease onset, surgery, and perianal disease.
Results
A total of 564 valid questionnaires were collected. The overall fertility rate among females with Crohn’s disease was 43.41 live births per 1000 person-years (95%CI [39.30-48.11.]), significantly lower than the general population(52.80, 95%CI[52.72–52.97], AFRR 0.82, p < 0.001). Pre-onset rates showed no significant difference, but there was a significantly decline post-onset(35.84, 95%CI[30.32–42.31], AFRR 0.55, 95%CI[0.46–0.65], p < 0.001). Fertility rates decreased in patients aged 20 to 29 post-onset. Those who underwent bowel surgery had reduced fertility rates post-surgery(31.44, 95%CI[21.05–92.49] vs 49.92, 95% CI [45.35–54.91], AFRR 0.63, 95% CI [0.45–0.89], p = 0.008). Patients with perianal disease was 47% of that of the general population (25.05, 95% CI [8.94–40.97] vs. 48.61, 95% CI [43.57–52.97], AFRR 0.47, 95% CI [0.43–0.52], p < 0.001).
Conclusion
Female Crohn's disease patients show lower fertility rates than the general population, particularly among those aged 20–29 age post-disease onset, with further reductions after surgery and perianal disease.
Evaluating the link between chromosomal abnormalities and diminished ovarian reserve, mode of conception, and history of prior miscarriages in cases of early missed abortion using CNV-seq
Authors: Huang Shuhui , Chen Xiaoqing , Liu Danping , Yuan Huizheng , Zou Yongyi , Zeng Baitao , Bai Guiqin 
Published: July 2024

Abstract

Objective: This study was developed as a retrospective analysis of the rates of embryonic chromosomal abnormalities in cases of missed miscarriages during early pregnancy, with a focus on identifying associated factors as a means of clarifying the genetic basis for missed miscarriages and how this pregnancy outcome relates to a variety of clinical and demographic characteristics.
Methods: The present study enrolled 1490 patients who had been diagnosed with missed miscarriage and underwent CNV-seq testing at the Jiangxi Maternal and Child Health Hospital from January 2020 through December 2022. Medical records were accessed to obtain clinical data pertaining to these miscarriage cases, and the results of chromosomal abnormality testing were analyzed.
Results: Chromosomal abnormalities were detected in 63.76% of all missed miscarriages, and included instances of autosomal trisomy (68.38%), triploidy/polyploidy (11.68%), 45XO (10.84%), CNVs (8.84%), double/multiple trisomy (4.32%), sex chromosome trisomy/polyploidy (0.32%), and complex abnormalities (2.95%). An examination of the relationship between these chromosomal abnormalities and clinical characteristics revealed that chromosomal abnormality incidence rates were significantly related to maternal age, mode of conception, AMH levels, and the presence or absence of an embryonic/fetal heartbeat. Advanced maternal age, mode of conception, and lower AMH levels were associated with a greater risk of embryonic chromosomal abnormalities. Specifically, the rates of autosomal trisomy gradually rose with maternal age (P<0.05), whereas 45XO, CNVs, and triploidy/polyploidy detection rates declined with age (P<0.05). Declining ovarian reserve function was associated with higher rates of karyotypic abnormalities (P<0.05). Higher rates of karyotypic abnormalities were also evident in the natural conception (NC) group, as were rates of CNVs and trisomy/polyploidy (P < 0.01), whereas higher rates of autosomal trisomy were detected in the assisted reproductive technology (ART) group. No relationship between a history of spontaneous miscarriages and the incidence of embryonic chromosomal abnormalities was detected.
Conclusion: Embryonic chromosomal abnormalities are the leading cause of early missed miscarriages. The present results indicate that advanced maternal age, declining ovarian reserve function, and mode of conception can all increase the risk of these chromosomal abnormalities. Age and the presence of a fetal/embryonic heartbeat may be related to the incidence of different types of chromosomal abnormalities, while a history of prior missed miscarriages is not related to the odds of embryonic chromosomal abnormalities.
Strategies for mitigating cancer fatalism among individuals with a cancer family history through social media activities
Authors: Ao Song , Wu Yifang , Zhao Xinshu 
Published: July 2024

Abstract

Background
People with a cancer family history are among those who experience severe cancer fatalism and are more likely to seek cancer-related information on social media. However, the spread of health misinformation on social media negativly impacts people's attitudes towards healthy behaviors and triggers negative emotional responses. Few studies have specifically examined how online cancer information influences cancer fatalistic attitudes in this context. This study aims to investigate strategies for reducing cancer fatalism when people with a cancer family history engage in social media activities.
Methods
The Health Information National Trends Survey (HINTS) in 2022 was conducted to create an integrated model for reducing cancer fatalism through four social media activities (i.e., visiting social media sites, sharing health-related information, online discussion and watching health-related videos) among people with a cancer family history (N = 3708).
Results
Confidence in online information seeking and barriers to cancer information seeking were found to be significant mediators between social media activities and cancer fatalism. Specifically, engaging in visiting social media sites, sharing health-related information and watching health-related videos may reduce cancer fatalism by increasing confidence in online information seeking. Increased confidence in searching abilities would help them overcome barriers, mitigating their cancer fatalism. However, no matter how much misinformation people are exposed to, engaging in these activities has a weak effect on cancer fatalism. We also found that there is no significant direct or indirect link between online discussions and cancer fatalism.
Conclusion
This study found that social media activities have a positive effect on cancer fatalism. It offered advice to people with a cancer family history on how to reduce cancer fatalism while maintaining positive cancer prevention beliefs. People with a cancer family history could be encouraged to challenge negative health beliefs and promote health-prevention behaviours.