Miracle-dz/UniFAR-FTUs huggingface dataset:
Analisis Faktor - Faktor Penerimaan Sistem Informasi Manajemen Rumah Sakit Sakinah Mojokerto

Rumah sakit adalah institusi pelayanan kesehatan yang menyelenggarakan layanan kesehatan bagi masyarakat. Rumah Sakit Islam “ Sakinah ” Mojokerto telah menerapkan penggunaan sistem informasi manajemen rumah sakit ( SIMRS ) untuk membantu memanajemen rumah sakit dalam pengambilan keputusan. Namun masih terdapat permasalahan fungsional pada sistem yang dapat mempengaruhi perilaku pengguna terhadap penggunaan sistem dan akan berdampak pada penerimaan sistem informasi tersebut. Tujuan yang ingin dicapai dari penelitian ini adalah untuk mengetahui hubungan antar variabel Technology Acceptance Model (TAM) dan Human-Organization-Technology (HOT) Fit Model untuk meningkatkan penerimaan pengguna terhadap implementasi SIMRS di Rumah Sakit Islam “ Sakinah ” Mojokerto. Penelitian ini mereplika sembilan variabel dari TAM dan HOT-fit model yaitu, user self-efficacy, compatibility, top management support, project team competency, system quality, information quality, perceived usefulness, perceived ease of use, dan SIMRS acceptance. Jumlah Sampel dalam penelitian ini sebanyak 147 pegawai Rumah Sakit Islam “ Sakinah ” Mojokerto yang menggunakan SIMRS . Hasil dari penelitian ini yaitu hubungan antara HOT-fit pada TAM yang bernilai signifikan terdapat pada variabel top management support, system quality, information quality terhadap variabel perceived usefulness dan variabel user self-efficacy, top management support, system quality, information quality terhadap variabel perceived ease of use, serta variabel perceived ease of use terhadap SIMRS acceptance. Hal ini ditunjukan dengan nilai p values dari masing-masing variabel 0.05. Kata kunci: SIMRS, TAM, HOT-fit model
Data Science Methods to Develop Decision Support Systems for Real-time Monitoring of COVID-19 Outbreak

Data analysis and visualization are essential for exploring and communicating findings in medical research, especially in epidemiological surveillance. Data on COVID-19 diagnosed cases and mortality from crowdsourced website COVID-19 India Tracker, Census 2011, and Google Mobility reports has been used to develop a real-time analytics and monitoring system for the COVID-19 outbreak in India. We have developed a dashboard application for data visualization and analysis of several indicators to follow the SARS-CoV-2 epidemic using data science techniques. A district-level tool for basic epidemiological surveillance, in an interactive and user-friendly manner, which includes time trends, epidemic curves, and key epidemiological parameters such as growth rate, doubling time, and effective reproduction number, has been estimated. This demonstrates the application of data science methods and epidemiological techniques in public health decision-making while addressing the gap of timely and reliable decision-aiding tools. Doi: 10.28991/HEF-2022-03-02-08 Full Text: PDF
A glimpse of the Nitrogen Fixing Wheat possibility

As the world's population grows at an exponential rate, greater food production becomes a requirement. Intensive agricultural methods, which are now used to produce the bulk of food, are unsustainable and will be unable to supply demand when natural resources become scarce. The industry faces a significant nitrogen demand, which must be met in order to combat hunger in emerging countries. This study used a literature review technique to investigate the potential for improved wheat crop yield through nitrogen fixation. It has been demonstrated that utilizing microorganisms such as cyanobacteria as biofertilizers or phytopathogen antagonists can boost the development and productivity of non-leguminous agricultural crops. Finally, the possible end result outweighs the costs. It's impossible to argue against the development of nitrogen-fixing wheat at this point in the technology's development. Whether it is possible to develop crops that rely solely on dinitrogen as a nitrogen source, or if the result is only a slight boost in wheat yields, the need to improve global food production needs research like the one described in this article. ©2022 JNSMR UIN Walisongo. All rights reserved.
Traffic volume prediction for scenic spots based on multi‐source and heterogeneous data

Traffic prediction for scenic spots is an important topic in modeling an urban traffic system. Existing traffic prediction approaches typically use raw traffic data and road networks without considering the physical environment and human–environment interaction. This article presents a novel traffic prediction model that considers: (1) the topological structure of the city road network; (2) the popularity and accessibility of each scenic spot in the city; and (3) the traffic volumes of nearby scenic spots. The proposed model first learns a series of traffic dependency graphs by the Multi‐graph Convolutional Network using multiple data sources describing historical traffic volumes, scenic spots popularity, land function, location, and accessibility. The graph nodes represent the scenic spots, and the links between them represent their traffic dependency, considering all traffic and geographic features. Then the proposed model uses the Gated Recurrent Unit (GRU) to capture the temporal dependency between multiple fused graphs for traffic volume prediction. The experiments show that the proposed model (M‐GCNGRU) can effectively exploit and integrate geographic data with historical traffic data for traffic volume prediction, outperforming several classical and state‐of‐the‐art methods.
The Effects of Malaysian Older People’s Participation and Engagement in the Local Labour Market

Given the increasing rise of the world's older population and the quick alteration of the socioeconomic landscape, many countries, Malaysia included, recognise the necessity to protect the economic security of the older people. This country's alarmingly ageing population will transform it into an aged nation by the year 2030. However, several issues and challenges experienced by them, such as the inadequacy of financial savings, living in poverty, and being censured by family issues, may prevent Malaysia from attaining its 2020 ambition of becoming a developed nation and aged friendly country. Thus, this study believed it was necessary to implement effective methods to tackle these issues and challenges along with maximising the health and wellness of the older population. One alternate approach proposed by this study is to increase the participation of healthy and capable older people in the labour force. Therefore, the purpose of this study is to examine the effects of labour force participation and engagement on older people, their family members, society, and the country in support of the alternate approach proposed. Following this aim, this study obtained the data from qualitative research for the doctoral degree of one of the authors. This study found that older people's employment favourably impacted themselves on (i) an individual level, (ii) their families and coworkers on an interpersonal level, and (iii) society on a societal level. This study also demonstrates that the employment of older people can positively impact the (iv) country. The majority of the positive impacts on older people's employment can contribute to their wellbeing, as outlined in the National Policy for Older Person (2011).
Family Needs Checklist: Development of a Mobile Application for Parents with Children to Assess the Risk for Child Maltreatment

Child maltreatment (CM) has been enormously studied. However, a preventive practice still requires comprehensive and effective instruments to assess the risks for CM in a family context. The aim of this study is to describe the development process of an evidence-based CM risk assessment instrument (Family Needs Checklist, FNC) for primary prevention online utilization. This article reports the development process of the checklist and its mobile application, consisting of a systematic literature review, identification of known risk factors using the content analysis method, and generation of the checklist, including a multidisciplinary group in the design and feedback. As a result, a comprehensive and compact checklist was developed to be used by parents or caregivers as a self-referral instrument with an option to be used with professionals as a basis for joint conversations. The FNC consists of parental, family-, and child-related risk factors. Based on the international evidence, the online application consists of knowledge about different CM types, information about risk factors and protective factors as well as recommendations and guidance to support services. The FNC is based on robust evidence on known risk factors causing CM in families. It can be used for primary prevention utilization in the general population.
Multimodal Prediction of Five-Year Breast Cancer Recurrence in Women Who Receive Neoadjuvant Chemotherapy

Simple Summary An important clinical issue to consider when selecting neoadjuvant chemotherapy treatment for breast cancer is the likelihood of cancer recurrence. Accurately predicting the future outcome of the patient based on data available prior to treatment initiation could impact the treatment selection. We study a cohort of 1738 patients and explore the contribution of clinical history, immunohistochemical markers, and multiparametric magnetic resonance imaging to the prediction of post-treatment cancer recurrence. We analyzed this multimodal data using classical machine learning, image processing, and deep learning to increase the set of discriminating features. Our results demonstrate the ability to predict recurrence using each modality alone, and the possible improvement achieved by combining the modalities. We show that the models are especially accurate for differentiating specific groups of young women with poor prognoses. These methods were also used on a different dataset of 193 patients in an international challenge, where they won second place. Abstract In current clinical practice, it is difficult to predict whether a patient receiving neoadjuvant chemotherapy (NAC) for breast cancer is likely to encounter recurrence after treatment and have the cancer recur locally in the breast or in other areas of the body. We explore the use of clinical history, immunohistochemical markers, and multiparametric magnetic resonance imaging (DCE, ADC, Dixon) to predict the risk of post-treatment recurrence within five years. We performed a retrospective study on a cohort of 1738 patients from Institut Curie and analyzed the data using classical machine learning, image processing, and deep learning. Our results demonstrate the ability to predict recurrence prior to NAC treatment initiation using each modality alone, and the possible improvement achieved by combining the modalities. When evaluated on holdout data, the multimodal model achieved an AUC of 0.75 (CI: 0.70, 0.80) and 0.57 specificity at 0.90 sensitivity. We then stratified the data based on known prognostic biomarkers. We found that our models can provide accurate recurrence predictions (AUC > 0.89) for specific groups of women under 50 years old with poor prognoses. A version of our method won second place at the BMMR2 Challenge, with a very small margin from being first, and was a standout from the other challenge entries.
Knowledge Sharing in Malaysian University between Pure Science and Social Science Academicians

In Malaysian universities, knowledge sharing is a key factor in improving the informational pool and providing students with fresh knowledge. Comprehensive research on knowledge sharing among university academics, particularly those from different streams, has not gotten much attention. The goal of this study was to compare academicians from two different streams; namely pure science and social science on three knowledge sharing factors: organizational factor, technological factor and individual factor. This research is conducted utilising a series of survey instruments among academicians at Universiti Kebangsaan Malaysia (UKM). Results from this study recognized that the two groups of academicians equally endorse that all factors are critical especially reciprocal benefits and knowledge self-efficacy under individual factors, but significant factors that are considered moderately central are organizational rewards under organizational factors and system quality from the technical factors. These findings demonstrate that, while there are no major disputes with academics' individual factors in knowledge sharing, UKM's organization and technology in knowledge sharing have room for improvement, specifically in terms of organizational rewards and system quality.
Exploring the Preventive and Restorative Functions of Lactobacillus pentosus in Flesh Deterioration Caused by Oxidized Fish Oil Diets in Hybrid Grouper (♀ Epinephelus fuscoguttatus
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 ♂ E. lanceolatu)

The purpose was to investigate the preventive and restorative functions of Lactobacillus pentosus of hybrid grouper (♀ Epinephelus fuscoguttatus×♂ E. lanceolatu) flesh due to ingestion oxidized fish oil (OFO) diet. Basal diets were formulated using OFO as main lipid source and 1.0 × 10 9 CFU/g of L. pentosus was added to basal diet as experimental diet. Control group (OFO: 60 d basal diet), prevention group (OFOP: 30 d experimental diet + 30 d basal diet ), and restoration group (OFOR: 30 d basal diet + 30 d experimental diet ) were set up for grouper experiment with triplication. The results show that compared with the OFO group, the OFOP and OFOR groups significantly decreased muscle lipid deposition and lipid peroxidation production. The OFOP and OFOR groups significantly increased the polyunsaturated fatty acid content furthermore to improve nutritional value of muscle compared to the OFO group. Intervention with L. pentosus significantly influenced muscle flavor. OFOP and OFOR groups significantly upregulated expression of partial growth factor-related genes while downregulating expression of antioxidant-related genes. Consequently, the intervention of L. pentosus decreased lipid deposition and improved the nutritional value and flavor of grouper muscle, and it was recommended as a probiotic to prevent the deterioration of aquatic product quality.
Functional Characterization of Three GnRH Isoforms in Small Yellow Croaker Larimichthys polyactis Maintained in Captivity: Special Emphasis on Reproductive Dysfunction

Simple Summary Small yellow croaker is a popular marine fish in southeast Asian countries. Due to a decline in production in the wild, marine aquaculture has been initiated in Korea. Seed production is performed using captive-reared broodstock, which is known to undergo reproductive dysfunction. Reproductive dysfunction is closely linked to endocrinological dysfunction in the brain-pituitary-gonad (BPG) axis. Gonadotropin-releasing hormone (GnRH) acts as a central regulator in the BPG-axis. To determine the possible involvement of GnRHs in reproductive dysfunction of small yellow croaker reared in captivity, three GnRH isoforms were cloned and functional characterization has been performed. The expression of GnRH1 in the brain was significantly higher at the ripen stage in both sexes during gonadal development. Gonadotropin subunits (GPα, FSHβ, LHβ) were simultaneously increased in the pituitary at the ripen stage in both sexes. Interestingly, females showed significantly lower expression of GnRH1 and GtHs than males. Both in vivo and in vitro administration of GnRH1 showed that GtHs were increased significantly in the pituitary at high concentration. However, sex-steroids (E2 and MT) significantly inhibited the GnRH1 expression in the brain in a dose-dependent manner. Altogether, GnRH1 plays a key role in gonadal maturation, and a low level of GnRH1 and GtHs might be responsible for reproductive dysfunction in the female small yellow croaker. Abstract Fish reproduction is regulated by the brain–pituitary–gonad (BPG) axis where the gonadotropin-releasing hormone (GnRH) plays a central role. Seed production of small yellow croaker (Larimichthys polyactis) is performed using captive-reared broodstock known to undergo reproductive dysfunction, which is connected to endocrinological dysfunction. To determine the endocrinological mechanism of GnRHs in the BPG axis of small yellow croaker, full-length sequences of three GnRH isoforms encoding sbGnRH (GnRH1), cGnRH-II (GnRH2), and sGnRH (GnRH3) were cloned and characterized from brain tissue. qRT-PCR, in vivo, and in vitro experiments were performed for functional characterization. The mRNA expression of GnRH1 in the brain and gonadotropin subunits (GPα, FSHβ, and LHβ) in the pituitary were significantly higher at the ripen stage during gonadal development and GnRH1 at spawning stage during spawning events. Expression of both GnRH1 and GtH subunits was significantly lower in females than males. GtH subunits were induced at higher concentrations of GnRH1 in vivo and in vitro. Sex-steroids significantly inhibited the GnRH1 expression in vitro in a dose-dependent manner. Taken together, results indicated that GnRH1 plays a key role in gonadal maturation and sex-steroids induced negative feedback in the regulation of GnRH. A lower level of GnRH1 and GtHs might be responsible for reproductive dysfunction in a female small yellow croaker.
Cropping and livestock impacts on surface waters in the Pampas region (Argentina)

The rivers and streams of the cropping and livestock regions of Buenos Aires province (Argentina) contain variable concentrations of pollutants and high concentrations of nutrients that simultaneously affect aquatic ecosystem communities. In the present study, we evaluated the water quality of the Burgos stream and El Tala river (San Pedro, Buenos Aires province) by analyzing chemical contaminants (As, Cu, Pb, Zn, and glyphosate), nutrients (ammonium, nitrate, and phosphate), and algal toxicity bioassays. Surface water was collected at six sampling stations in three months (April and September 2019, and February 2020). By taking into account the percentages of algal growth inhibition (%I), the standard species Raphidocelis subcapitata and a species isolated from the study area, Scendesmus acutus, showed different sensitivities to the water samples, with a maximum %I of 70.64% and 34.62%, respectively. Moreover, algal growth stimulation was observed due to the high nutrient concentrations. A risk quotient (RQ) was applied to evaluate the environmental hazards of the chemical contaminants Cu, Pb, Zn, and glyphosate on the algal populations. According to the RQ values obtained for Pb (1.20 and 3.30) and Zn (1.17 and 2.12), the growth of algal populations could be at risk due to the maximum environmental concentrations measured of Pb (132 µg L-1) and Zn 106 µg L-1). The present study showed the first approach of an environmental risk analysis based on simultaneous determinations of chemical contaminants and laboratory bioassays with algae, using a strain of alga isolated from the aquatic ecosystems studied.
Extinction and hybridization in a neutral model of speciation

Evolution is usually pictured as a tree where ancient species branch into new ones and eventually disappear. In this simplified view, the balance between speciation and extinction fully determines the diversity of life. Hybridization, however, introduces another level of complexity, allowing neighboring branches of the tree to interact, mixing their genetic content. This generates further diversity leading to reticulated trees. In this paper we study processes of speciation, extinction and hybridization using a genetically and spatially explicit neutral model of diversification. The model is based on the Derrida–Higgs formulation, where the genome of haploid individuals is represented by binary strings and reproduction is constrained by genetic similarity. Tracking all events of speciation, extinction and hybridization throughout the evolutionary process allows us to compute complete and exact phylogenetic trees. We found that genome size played a key role in these processes, increasing the extinction rate and decreasing the hybridization rate. Only in the limit of large genomes the simplified picture of a branching tree is recovered. Most hybridization events occurred between relatively abundant species, discarding lack of sexual partners or small population sizes as potential causes. We found that hybridization occurred mostly because of opportunity (genetic similarity and spatial proximity) between recently branched species, when the number of accumulated mutations is not yet too large.
Impact of Obesity in Male and Female Infertility

Obesity have negative effects on the fertility of males and females. In females the obesity can induce hormonal imbalances for example adipokines (leptin, adiponectin, resistin, visfatin, omentin, chemerin) on reproductive axis, irregularities in menstrual cycle, reduce conception rate and complications in pregnancy. The adverse effect is insulin resistance and insulin excess that is associated with PCOS (polycystic ovary syndrome)-irregular periods. In males the obesity affects HPG gland that in turn disturb the endocrine regulation of reproductive function with high level of estrogen and low level of testosterone, progesterone, and SHBG (sex-hormone binding globulin). DNA damage of sperm, high scrotal temperature because of highly fatted scrotum area, low production of sperms and decreased motility of sperm are all the effects of obesity in males that cause infertility. The aim of the review article is to thoroughly cover the effect of obesity on reproductive functions, hormonal concentrations & fertility potential in females & males.
Ethnomedicinal Use, Phytochemistry, and Other Potential Application of Aquatic and Semiaquatic Medicinal Plants

Medicinal plants have been treating various ailments and diseases since ancient times. Aquatic and semiaquatic medicinal plants play an essential role in human welfare to fulfill their daily needs. They have shown biological, pharmacological, nutraceutical, and commercial applications. This review aims to collect and update all recent information on ethnomedicinal, phytochemistry, pharmacological activities, and nanoparticle synthesis and their uses in aquatic and semiaquatic medicinal plants. Original research papers, review papers, short communications, and book chapters on aquatic and semiaquatic plants have been retrieved from PubMed, Web of Science, Scopus, and Google Scholar. Keywords, ethnomedicinal studies, phytochemistry, pharmacological activities, and nanoparticle synthesis from aquatic and semiaquatic medicinal plants are used for the search. Different aquatic and semiaquatic medicinal plants belonging to the families Acanthaceae, Alismataceae, Amaranthaceae, Apiaceae, Araceae, Asteraceae, Boraginaceae, Ceratophyllaceae, Cyperaceae, Fabaceae, Hydrocharitaceae, Lythraceae, Marsileaceae, Menyanthaceae, Nelumbonaceae, Nymphaeaceae, Onagraceae, Plantaginaceae, Poaceae, Polygonaceae, Pontederiaceae, Primulaceae, Scrophulariaceae, and Zingiberaceae have been studied. They are rich in alkaloids, flavonoids, terpenoids, phenolics, saponins, tannins, dietary fiber, glycosidic derivatives, carbohydrates, and proteins. These phytochemicals have been used for their antimicrobial, antioxidant, hepatoprotective, sedative, anticonvulsant, cytotoxic, antiparasitic, and antidiabetic activities. Besides this, various parts of the plants are used as dietary supplements and green nanoparticle synthesis. These plants are also known for their commercial value and are used as an ingredient in some pharmaceutical industries.