bluuebunny/crossref_metadata_2025 huggingface dataset:
The Correlation between Food Security with Stunting Toodler from Fisherman Family
Authors: Islamiah Warda Eka , Nadhiroh Siti Rahayu , Putri Endah Budi Permana , Farapti  , Christiwan Chyntia Apris , Prafena Priskila Kris
Published: April 2023

The food insecurity problem is closely related to poverty. One of the communities belonging to the lower middle class in Indonesia is Fishermans. Stunting toddler is one of the chronic nutritional problems caused by low access to and affordability of food. Food and nutrition security is a unity, where nutrition is a very important element in improving the life quality of the population. The purpose of this study was to analyze the relationship between family characteristics, toddler characteristics, and food security with the incidence of stunting in toddlers. This research is included in the cross-sectional study design. The research sample was 87 fisherman households in the Ngemplakrejo Village, Pasuruan City, which were randomly selected using simple random sampling. Data were analyzed using chi-square correlation tests. The results showed that the stunting prevalence was still high at 43.7%. In addition, families in the category of severe food insecurity were also found, namely 16.1%. Based on the study results, there was a relationship between household food expenditure (p=0.027), birth body length (p=0.027), exclusive breastfeeding history (p=0.034) and household food security (p=0.000) with stunting in toddlers. The conclusion of this study is stunting in toddlers can occur due to factors such as family characteristics, toddler characteristics, and food security. This study recommends increasing in food security by paying attention to the adequacy of family food needs through coping strategy, household expenditure by prioritizing toddler nutrition and increasing household food security by providing training and skills in diversification of catch products and productive businesses.
Effects of Source and Load Impedance on the Insertion Loss of Expansion Chamber Hydraulic Noise Suppressors
Authors: Yang Fan , Zhang Jianpin , Cao Xuepeng , Deng Bin
Published: April 2023

Currently, the acoustical performance of hydraulic noise attenuators is usually measured in terms of insertion loss (IL) and transmission loss (TL). Compared with the TL, experimental measurements of IL appear to be easier, however, the acquisition of source and load impedance for theoretical IL seems to be time-consuming and costly. Considering that the analogy between electrical system variables and fluidic ones is complete, well-established electrical circuit representations could be used for hydraulic systems using expansion chamber configurations as the hydraulic suppressors. Utilizing the Thevenin theorem and Norton theorem in the electrical network theory, two types of pressure oscillation source representations are equivalent insofar as the suppressors are concerned and then the expression for IL could be simplified. Finally, through the experimental measurements of the IL, the most suitable electrical representation would be selected. By implementing this method, the measurements of source impedance and load impedance tend to be avoided, which appears to be an attractive approach.
Modeling of Acoustic Emission Wave and Its Parametric Characterization Based on Peak Sensor Sensitivity on an Aluminum Block
Authors: Rashid Arif Abdullah , Khan Md. Tawhidul Islam , Teramoto Kenbu
Published: April 2023

In this paper an acoustic emission (AE) signal has been generated analytically for a homogenous material with a surface load. For the validation of the AE theory, a simulation for a developed AE wave has been conducted with computational algorithms. Experimental validation for the AE wave generation and propagation have also been performed under similar conditions. Aluminum metal block has been selected as the homogenous propagation medium for both simulation and the experiment. A function generator has been used for the excitation of a burst sine signal on the surface. A piezoelectric AE resonance sensor receives the vertical response due to the vertical load of the function generator. The algorithm of Lamb's solution has been employed in the generation of a simulated AE wave. As the transfer function, the peak sensor sensitivity of the AE sensor (R15alpha) has been incorporated along with the acoustic impedance of the metal surface and sensor. For both detected and simulated AE waves, the signal parametric characterizations have been performed based on the rise time and the maximum amplitude. The attenuation properties of the maximum amplitude and the increase of rise time with the increment of source to sensor distance has been evaluated to validate the proposed method.
Detection and Quantification of Asymmetrically Located Structural Damages by Mode Converted Guided Waves Using Piezo Electric Elements
Authors: Patnaik MN Murthy , Renji K , Gopal KV Nagendra
Published: April 2023

Though damage identification using guided waves generated using ultrasonics is well proven, its usage for structural health monitoring poses difficulties. Piezo electric actuation and sensing overcomes this difficulty to some extent. In this work, usage of such guided waves for damage identification is investigated. Piezo electric wafer transducers are used for generating and sensing the guided waves. Presence of multiple modes and comparatively higher speeds of the guided waves throw up difficulties in damage identification. It is shown here that this problem can be addressed by considering different sensor location with respect to the damage with suitable interpretation of the results. Usage of fundamental antisymmetric (Ao) mode is found to be more suitable in localizing the damage compared to the fundamental symmetric (So) mode. Asymmetrically located damage causes mode conversion. It is demonstrated in this work that the mode converted guided wave (So) could be advantageously used for identification, localization, and quantification of the damage. Damage identification and localization schemes are evolved based on the location of the sensors with respect to the damage. It is shown that the reduction in the magnitude of the mode converted wave can be utilized for assessing the depth of the damage. 3D finite element based numerical models incorporating a PZT sensor are developed and validated with experimental results in terms of the characteristics of the waves, mode conversion due to damage and influence of the defect size on the received signals which are necessary for quantification of the damage.
Dark Fermentative Production of Biohydrogen from Organic Biomass: A Bibliometric Analysis
Authors: Kiprotich Amos , Nijeje Eustache
Published: April 2023

Confronted by declining fossil fuels and the need to mitigate the effects of climate change, organic-based biomass is increasingly used to produce renewable energy, and this is receiving significant attention. Biohydrogen production by dark fermentation is a promising alternative to the conventional method since it is non-polluting and energy-saving. In this review paper, a bibliometric analysis was performed to understand the current status of biohydrogen production by dark fermentation. A total of 122 articles were analyzed from PubMed between 2013 and 2022 to understand the current trend in the dark fermentative production of hydrogen. The findings revealed that there had been increasing research in the domain of dark fermentation over the past decade, signifying an increased interest in biohydrogen production through dark fermentation. A significant increase in studies geared towards optimizing the processes, including pretreatment and designing of bioreactors and choosing the right types of biomass, was herein potentially identified. This study concludes that a new perspective on biohydrogen production is needed, particularly focusing on the optimization of the dark fermentative process
Lipid Metabolism Reprogramming Is Associated with Trastuzumab Resistance in ERBB2+ Breast Cancer Cell Lines
Authors: Cortese Katia , Ponassi Marco , Profumo Aldo , Coronel Vargas Gabriela , Iervasi Erika , Gagliani Maria Cristina , Bellese Grazia , Tavella Sara , Castagnola Patrizio
Published: April 2023

The antibody Trastuzumab (Tz) targeting ERBB2 has improved the prognosis of patients with breast cancer (BCa) that overexpress this receptor. Resistance to Tz negatively impacts prognosis. Several mechanisms have been reported to cause Tz resistance. The objective of this study was to identify common mechanisms in in vitro models of acquired BCa Tz resistance. In particular, we used three widely available ERBB2+ BCa cell lines adapted to grow in Tz. We performed several analyses to address possible changes in phenotype, proliferation, and ERBB2 membrane expres-sion common to the three Tz-R cell lines compared to wt, but none was found. High-resolution mass spectrometry analysis identified, instead, a common set of differentially expressed proteins (DEPs) in Tz-R vs. wt cells. Furthermore, bioinformatic tools revealed that all three Tz-R cell models shared a modulation of proteins involved in the metabolism of lipids, organophosphate biosynthetic process, and macromolecule methylation. Ultrastructural analysis confirmed altera-tion of lipid droplets in resistant cells. Our data strongly support the hypothesis that complex metabolic adaptation, including lipid metabolism, protein phosphorylation, and possibly chro-matin remodeling, may fuel Tz resistance. The identification of a common set of 10 DEPs in all three TZ-resistant cell lines may provide novel targets for therapeutic intervention.
Knockdown of DOM/Tip60 Complex Subunits Impairs Male Meiosis of Drosophila melanogaster
Authors: Prozzillo Yuri , Fattorini Gaia , Ferreri Diego , Leo Manuela , Dimitri Patrizio , Messina Giovanni
Published: April 2023

ATP-dependent chromatin remodeling complexes are involved in nucleosomes sliding, eviction and/or histone variants incorporation into chromatin to facilitate several cellular and biological processes, including DNA transcription, replication and repair. The DOM/TIP60 chromatin remodeling complex of Drosophila melanogaster contains 18 subunits, including the DOMINO (DOM), an ATPase that catalyzes the ex-change of the canonical H2A with its variant (H2A.V); and TIP60, a lysine-acetyltransferase that acetylates H4, H2A and H2A.V histones. In the last decade, different experimental evidence showed that ATP-dependent chromatin remodeling factors, in addition to their role in chromatin organization, have a functional relevance in cell division. In particular, emerging studies suggested direct roles of ATP-dependent chromatin remodeling complex subunits in controlling mitosis and cytokinesis in both humans and D. melanogaster. However, little is known about their possible involvement during meiosis Meiotic chromosomes non-disjunction led to aneuploid offspring, which are often inviable/poorly viable or sterile due to gene dosage imbalance. Therefore, studying the role of DOM/TIP60 complex in D. melanogaster meiosis can provide new insights on our understanding of the molecular mechanisms underlying cell division control in gametogenesis.
Pengaruh Dwelling Time pada Penerimaan Pajak Impor di Indonesia
Authors:   Badan Pusat Statistik Kabupaten Kapuas Hulu, Hilal Adam Syaiful , Lisna Vera ,   Pusdiklat Badan Pusat Statistik, Jakarta
Published: April 2023

Lamanya dwelling time menjadi sorotan Presiden RI sejak kunjungannya ke Pelabuhan Tanjung Priok tahun 2014 silam. Hal ini dapat berdampak pada perdagangan internasional, salah satunya diukur dari penerimaan pajak impor. Nilai impor Indonesia yang terus turun berdampak pada rendahnya penerimaan negara dari pajak impor. Penelitian ini bertujuan menganalisis pengaruh dwelling time pada penerimaan pajak impor di Indonesia. Berdasarkan hasil estimasi sistem persamaan rekursif Error Correction Model (ECM) dengan data periode Januari 2014–November 2016 diketahui bahwa dwelling time yang lebih rendah akan meningkatkan penerimaan pajak impor di Indonesia.
“Tahukah kamu?”: Analisis Set Data Survei Sosial Ekonomi Nasional (Susenas)
Authors:   Kelompok Kerja Kebijakan Asuransi Kesehatan, Tim Nasional Percepatan Penanggulangan Kemiskinan (TNP2K), Johar Meliyanni , Soewondo Prastuti ,   Departemen Administrasi dan Kebijakan Kesehatan, Fakultas Kesehatan Masyarakat Universitas Indonesia & Kelompok Kerja Kebijakan Asuransi Kesehatan, Tim Nasional Percepatan Penanggulangan Kemiskinan (TNP2K), Pujisubekti Retno ,   Kelompok Kerja Kebijakan Asuransi Kesehatan, Tim Nasional Percepatan Penanggulangan Kemiskinan (TNP2K), Satrio Harsa Kunthara ,   Kelompok Kerja Kebijakan Jaminan Kesehatan, Tim Nasional Percepatan Penanggulangan Kemiskinan (TNP2K), Adji Ardi ,   Kelompok Kerja Kebijakan Asuransi Kesehatan, Tim Nasional Percepatan Penanggulangan Kemiskinan (TNP2K), Wibisono Iqbal Dawam ,   Kelompok Kerja Kebijakan Jaminan Kesehatan, Tim Nasional Percepatan Penanggulangan Kemiskinan (TNP2K)
Published: April 2023

Susenas telah menjadi dasar berbagai riset dan kebijakan di Indonesia sejak pertama kali dilaksanakan tahun 1963. Namun, ada fitur-fitur yang belum dipahami benar oleh para penggunanya. Artikel ini mengangkat dua fitur yang dapat menghasilkan inferensi kurang tepat. Yang pertama, variabel pengeluaran tidaklah mengukur pengeluaran pribadi, melainkan konsumsi, karena mencakup nilai bantuan ekonomi dari pihak lain. Implikasinya, variabel ini menafsirkan daya beli yang terlalu tinggi untuk rumah tangga yang menerima banyak subsidi. Yang kedua, adanya perubahan kuesioner pada Susenas 2015 yang berdampak pada analisis tren pengeluaran. Khususnya untuk pengeluaran kesehatan, pergerakan ini bisa disalahartikan sebagai dampak program baru pemerintah ditahun sebelumnya.
PEMBERDAYAAN DAN KEADILAN PROSEDURAL GURU: ANALISIS KUANTITATIF
Authors: Ramadhan Putra Heldy
Published: April 2023

The objective of this research is to examine the effect of empowerment toward procedural justice of SDN regrouping teacher in South Jakarta. This research use quantitative approach with survey methods. The sample of this research is 200 Civil Servant teachers (PNS) of regrouping Elementary Public-School teachers which is appointed randomly from 59 Elementary Public-School in South Jakarta. Data collection was carried out by using instruments in form of questionnaires to measure four research variables. The result of this study indicate that empowerment has a direct positive effect toward procedural justice.
Evaluasi Program pendidikan Kewirausahaan Melalui Tteaching Factory di SMK SMTI Bandar Lampung
Authors: Sabila Fathiannisa , Retnowati Elais , Kamalludin
Published: April 2023

Abstract::The research has been conducted to evaluate the suitability of the entrepreneurship education program through the Teaching Factory at SMK SMTI Bandar Lampung, including the planning, implementation and outcome stages. This research uses a qualitative method with a Stake Evaluation approach (Antecedents, Transactions and Outcomes). The main subjects of this research consisted of Headmaster, Entrepreneurship Teachers, Supervisors of Teaching Factory, Industrial Partners, Customers of Products, Students and the Communities. The data were collected using interview methods, observation, and documentation. Our finding indicates that the implementation of entrepreneurship education programs through the teaching factory is went quite decent. This could be seen by the results of the evaluation showing that the Antecedent (preparation) aspect is in the inappropriate category, whereas the Transaction (implementation) and the Outcomes aspect are in the appropriate category. Furthermore, improving the quality of the program could be done by improving the inappropriate category aspects for each evaluation stage.

Keywords: Evaluation of program, Entrepeneurship of education, Teaching Factory, Countenance Stake Model.
Pengaruh Kepemimpinan Kepala Sekolah Dan Motivasi Kerja Terhadap Kinerja Guru Sekolah Dasar Negeri Di Wilayah Jakarta Timur II (JT 2)
Authors: Wicaksono Dimas Bagus
Published: April 2023

ABSTRAK

Kemampuan kepemimpinan dalam sebuah sekolah akan tercipta dengan baik bila ada kerja sama yang baik antar semua warga sekolah. Salah satu faktor yang memperngaruhi tingkat keberhasilan kepemimpinan kepala sekolah dapat terlihat dari motivasi kerja guru dalam proses pembelajaran dalam kelas. Untuk meningkatkan mutu pendidikan dan melihat kinerja guru, pemerintah adalah melakukan reorientasi pengelolaan pendidikan, yakni dari memperbaiki dari segala sisi termasuk kemampuan kepemimpinan kepala sekolah dan motivasi guru dalam setiap proses pembelajaran yang akan mempengaruhi pula kinerja guru di sebuah sekolah. Tujuan dari penelitian ini adalah untuk mengetahui hubungan positif langsung kepemimpinan kepala sekolah (X1) dan motivasi kerja (X2) terhadap kinerja guru (Y) di sekolah yang dipimpin. Metode penelitian yang digunakan adalah kuantitatif deskriptif dengan menggunakan teknik sebar angket. Dengan menggunakan sampling fraction per cluster, diperoleh responden sebanyak 150 guru dari jumlah populasi seluruhnya 4816 guru se-JT2. Setelah melakukan analisis dengan menggunakan sitem SPSS 16.0 dapat terlihat bahwa terdapat pengaruh langsung antara X1 terhadap Y memiliki hasi lregresi nilai F 62,888 nilai sig. 0,000<0,05. X2 terhadap Y hasil regresi nilai F 77,131, nilai sig. 0,000<0,05, dan variabel X1 terhadap X2 hasil regresi nilai F 147,140, nilai sig. 0,000<0,05. X1 berpengaruh langsung terhadap Y sebesar 29,3%, X2 terhadap Y sebesar 33,8%, dan X1 terhadap Y sebesar 49,5%.

 

ABSTRAK

The leadership ability in a school will be created well if there is good cooperation between all school members. One of the factors that influence the level of success of the principal's leadership can be seen from the work motivation of teachers in the learning process in the classroom. To improve the quality of education and see teacher performance, the government is reorienting the management of education, namely from improving all aspects including the leadership abilities of school principals and teacher motivation in each learning process which will also affect teacher performance in a school. The purpose of this study was to determine the direct positive relationship of principal leadership (X1) and work motivation (X2) on teacher performance (Y) in the school being led. The research method used is descriptive quantitative using a questionnaire scatter technique. By using sampling fraction per cluster, it was obtained that 150 teachers were respondents from a total population of 4816 teachers throughout JT2. After analyzing using the SPSS 16.0 system, it can be seen that there is a direct influence between X1 and Y which has a regression result of the F value of 62.888 sig. 0.000 <0.05. X2 to Y regression results F value 77.131, the value of sig. 0.000 <0.05, and variable X1 to X2 regression results with F value 147.140, sig. 0.000 <0.05. X1 has a direct effect on Y by 29.3%, X2 for Y by 33.8%, and X1 for Y by 49.5%.
SALINITY-RELATED PRESERVATION OF MOLLUSKS IN SHALLOW LAKES: IMPLICATIONS FOR THE UNDERSTANDING OF THE LACUSTRINE PAMPEAN FOSSIL RECORD
Authors: DE FRANCESCO CLAUDIO G. , HASSAN GABRIELA S.
Published: April 2023

Premortem and postmortem processes significantly influence the formation of the molluscan fossil record in freshwater environments. Despite their importance for paleoenvironmental studies, they remain poorly understood. In Pampean shallow lakes, Holocene shell deposits of the euryhaline snail Heleobia parchappii show a relation with salinity, as preservation seems to be favored by brackish-saline water conditions. To explore if this pattern may respond to ecological (i.e., differential survival and reproduction) or taphonomic processes acting differently in freshwater and brackish-saline environments, we conducted a field-based study comparing premortem (abundance, length, width/length ratio, and crushing resistance in living and dead shells) and postmortem (fragmentation, fine-scale surface alteration, and loss of periostracum of dead shells) attributes along a modern lacustrine salinity gradient (0.5–40 ppt) in the Pampa plain of Argentina. Snails from saline lakes were smaller and more rotund than those from freshwater lakes, exhibiting higher abundances and resistances in death assemblages. They showed the highest fidelity in shell length and the best states of preservation, which were similar to values recorded in fossil shells. We concluded that shells deposited in saline lakes are better preserved than those deposited in freshwater lakes, giving rise to highly abundant shell concentrations, analogues to those shell-rich fossil levels recorded in Pampean lakes. Such abundance does not reflect the natural abundances of living snails, but rather is the result of the combined influence that less destructive environments and better shell intrinsic properties have on preservation.
Emergent Agency in a Time of COVID-19: Key takeaways for donors, INGOs and the wider sector
Authors: Barnes Katrina , Guijt Irene , Green Duncan , Artuso Filippo
Published: April 2023

The outbreak of the COVID-19 pandemic was an unprecedented event in the modern era. Earlier studies demonstrated how ‘critical junctures’, which comprise major historical events and emergencies, often play an essential role in social change. This paper seeks to explore whether the COVID-19 pandemic would prove to be a similar pivotal moment, and what lessons and insights we could gather for positive social change. The research set out to find key insights on how individuals, communities, and organizations in civil society were responding to the pandemic in low-income populations at the intersection of multiple inequalities. These lessons could inform how donors, governments and NGOs might reshape their efforts to reduce emerging or deepening inequalities, and how civil society organisations and community-based organisations could amplify their positive impacts. Over 18 months, from September 2020 to March 2022, the ‘Emergent Agency’ research convened a global conversation between activists, development practitioners, researchers, and academics to better understand the phenomena that were taking place in response to the pandemic. The research collected more than 200 case studies and held a series of webinars and conversations in thematic clusters to uncover what these responses could teach us. The research project was enabled with funding from The Atlantic Fellows for Social and Economic Equity programme (AFSEE) of the London School of Economics.
Post-GWAS machine learning prioritizes key genes regulating blood pressure
Authors: Nicholls Hannah , Ng Fu Liang , Watson David , Jacobsen Julius , Warren Helen , Cacheiro Pilar , Smedley Damian , Munroe Patricia , Caulfield Mark , Cabrera Claudia , Barnes Michael
Published: April 2023

Over one thousand blood pressure (BP) loci have been identified by genetic association studies. However, determination of causal genes remains a bottleneck for further translational discovery. Here we triage genes identified by a BP genome-wide association study (GWAS) using optimized machine learning (ML) methodologies. We investigated regression models with nested cross-validation, benchmarking fourteen models (tree-based, ensemble and generalized linear models) using multi-omic features and 293 training genes. The top-performing model was extreme gradient boosting (0.897 predicted r2) that prioritized 794 genes. These genes showed significantly more intolerance to variation and were more often termed as essential. 27/794 genes showed evidence of direct interaction with blood pressure medications potentially highlighting opportunities for genetic stratification of response. Notably some BP drug mechanisms were not well represented in GWAS, while 51 genes showed no interaction with known BP drugs, highlighting possible target and repositioning opportunities. This study exploits ML to prioritize signals within BP-GWAS associations based on similarities with established BP-drug interacting genes, streamlining identification of genes underpinning BP that could inform disease management and drug discovery.
Modified Activated carbon by in-situ co-precipitation process of tetra metal oxide magnetic nanocomposite for adsorption of Th(IV) from aqueous media
Authors: Elhefnawy Olivea A. , Elabd Amira A.
Published: April 2023

Activated carbon was doped by tetra metal oxide magnetic nanoparticles (Fe3n Con Cun Srn O7n) by in-situ co-precipitation process to prepare a new efficient adsorbent (AC4MO) for thorium ions removal from aqueous media. Also, tetra metal oxide magnetic nanoparticles (4MO) used for removing thorium ions from aqueous media. The morphology and structural properties of the new magnetic nanocomposites 4MO and AC4MO have been described by SEM, EDX, TEM, XRD, and FTIR. Four operating conditions parameters have been studied in the adsorption process for new adsorbents, pH, contact time, initial concentration, and temperature. The adsorption kinetics has been well described by the pseudo-second order model, while the Langmuir model better fits the adsorption isotherms. 4MO and AC4MO adsorption capacities were 222.22 and 714.29 mg/g, respectively. Thermodynamic parameters have been calculated to indicate the spontaneous and endothermic nature of the adsorption process and show that AC4MO has little sensitivity to temperature. The results showed that 4MO and AC4MO have higher selectivity towards Th(IV) ions from radioactive wastewater. AC4MO is the more effective adsorbent and has a higher adsorption capacity for Th(IV) as discussed in the comparative study.
The category of noncrossing partitions
Authors: Igusa Kiyoshi
Published: April 2023

In [18], we introduced “picture groups” and computed the cohomology of the picture group of type An. This is the same group what was introduced by Loday [21] where he called it the “Stasheff group”. In this paper, we give an elementary combinatorial interpretation of the category associated to An by the general construction given in [14] and prove that the classifying space of this category is locally CAT(0) and thus a K(π,1). We prove a more general statement that classifying spaces of certain “cubical categories” are locally CAT(0). The objects of our category are the classical noncrossing partitions introduced by Kreweras [20]. The morphisms are binary forests. This paper is independent of [14] and [18] except in the last section where we use [14] to compare our category with the category with the same name given by Hubery and Krause [9].
2010 Mathematics Subject Classification. 16G20; 20F55.
Inverse Design of Enzymatic Reaction Network States
Authors: Sluijs Bob van , Zhou Tao , Helwig Britta , Baltussen Mathieu , Nelissen Frank , Heus Hans , Huck Wilhelm
Published: April 2023

Kinetic modelling of in vitro constructed enzymatic reaction works is vital to understand and control the complex behaviours emerging from the abundant nonlinear interactions inside. However, modelling is severely hampered by the lack of training data. Here, we introduce a methodology that combines an active learning-like approach and flow chemistry to efficiently create optimized datasets for a highly interconnected enzymatic reactions network with multiple inputs and multiple outputs. The optimal experimental design (OED) algorithm designed a sequence of out-of-equilibrium perturbations to maximise the information about the reaction kinetics, yielding a descriptive model that allowed inverse design of the output of the network towards any cost function. We experimentally validated the model by forcing the network to produce different product ratios while maintaining a minimum level of overall conversion efficiency. Our workflow scales with the complexity of the system and enables the inverse design of previously unobtainable network outputs.
Optimal operation of hydropower systems with environmental constraints on reservoir management
Authors: Schäffer Linn Emelie , Bakken Tor Haakon , Helseth Arild , Korpås Magnus
Published: April 2023

Hydropower systems' unique capability to provide flexibility and long-term energy storage makes the low-carbon technology a key contributor to cost-effective and reliable decarbonisation of power systems. To ensure sustainable operation, environmental regulations are normally imposed on the plants. Some of these regulations can be difficult to model in existing scheduling tools based on optimisation because of their non-convex and logical characteristics. This study assesses the operational impacts of two types of environmental reservoir constraints, as well as the economic impacts of considering these constraints in medium-term hydropower scheduling. The results show that optimal reservoir management may change considerably due to these types of constraints. Furthermore, improved planning results in a decent increase in expected profit to the power producer under certain price assumptions in several of the simulated cases.
Effect of adalimumab on choroidal thickness and choroidal vascularity index in eyes with non-infectious uveitis using enhanced-depth imaging optical coherence tomography
Authors: Evereklioglu Cem , Arslantas Elif Er , Sener Hidayet , Akkul Zeynep , Gahramanov Kamran , Sevim Duygu Gulmez , POLAT Osman Ahmet , Horozoglu Fatih
Published: April 2023

Objective
To evaluate the effect of adalimumab (ADA) on choroidal thickness (ChT) and choroidal vascularity index (CVI) in eyes with non-infectious uveitis (NIU).
Methods
Thirty-seven eyes with NIU, 38 eyes of non-uveitic (NU) patients, and 40 control eyes were included. ADA was used for anti-TNF-naive adult (80mg) or pediatric (40mg) patients with refractory NIU, then 40mg every 2-week (20mg in children < 30kg) with controls at weeks 1, 4, 12, and 24. Images were used to measure central, nasal, and temporal ChT, and the luminal area (LA), stromal area (SA), and total choroidal area (TCA) were analysed using enhanced-depth imaging optical coherence tomography (EDI-OCT) by ImageJ software. The CVI was then calculated as the ratio of LA to TCA.
Results
Mean ages were similar between the groups. Mean (SE) subfoveal ChT measurements for each location were also similar (for each, p > 0.05). However, calculated CVI values in eyes with NIU (0.63 ± 0.007) were significantly (p < 0.001) lower than NU eyes (0.66 ± 0.006) and controls (0.70 ± 0.007) (p < 0.001). Moreover, CVI was significantly lower in NU eyes compared to controls (p < 0.001). There were no significant CVI changes between the consecutive visits after ADA therapy in eyes with NIU (for each, p > 0.05).
Conclusions
Decreased CVI in NIU and NU eyes indicates that systemic inflammation affects the choroidal vasculature and perfusion both in the presence and absence of ocular involvement. Although CVI may be used as a possible novel tool in monitoring ocular involvement and progression of NIU, CVI does not seem to be a biomarker for treatment monitoring in NIU.
Incidence and Spatial Distribution of Bacterial Meningitis, Uganda, 2015-2018
Authors: Gonahasa Doreen N. , Kyamwine Irene B. , Kwesiga Benon , Bulage Lilian , Ario Alex R.
Published: April 2023

Background: Uganda is one of the countries with the highest risk of meningitis because it lies within the extended meningitis belt of Sub-Saharan Africa. The most susceptible regions include West Nile, Bunyoro, Acholi, Lango, Teso, and Karamoja regions. Although there have been efforts to vaccinate against meningitis, sporadic cases still occur. Weestimated the incidence and described the spatial distribution of bacterial meningitis in Uganda using surveillance data, 2015-2018, to inform targeted interventions.
Methods: We analysed bacterial meningitis surveillance data from the District Health Information System 2. We specifically considered data on suspected bacterial meningitis cases. We calculated the overall meningitis incidence during 2015-2018 and disaggregated the incidence by age-group, sex, and region. We generated choropleth maps to describe the meningitis incidence per year at the regional level.
Results: The overall meningitis incidence was4.7/100,000. Overall, there was an increase in the incidence of meningitis from 3.2/100,000 in 2015 to 5.3/100,000 population in 2017; and a decline in 2018. The incidence was higher among under-five population ranging between 6.5-10.6/ 100,000 compared to those aged five and above (2.5-4.2/ 100,000). Karamoja region was most affected compared to the other 14 regions in the country.
Conclusion: Overall, there was an increase in the incidence of meningitis from 2015 to 2017; and a decline in 2018 after a countrywide mass vaccination campaign in 2017. Children under five and Karamoja region were most affected. Regardless of efforts to vaccinate, meningitis remains a disease of public health concern. We recommended that Ministry of Health should introduce the meningitis vaccine in routine immunisation.
Analysis of key factors of gas content in fold area based on grey entropy correlation theory
Authors: Jiao Huice , Song Weihua
Published: April 2023

The gas storage conditions in a fold area are complex, and there are many influencing factors. Therefore, it has been the focus and challenge of regional gas control. Based on the analysis of the forces acting on the geological structure in a fold area and the law of gas migration, this study derives six factors controlling the gas content in the fold area. Then combined with grey entropy correlation theory, a grey entropy correlation analysis method is proposed to screen the key factors of gas occurrence in complex fold area. Finally, taking the anticline fold area of a mine in western China as an example, the main factors controlling the gas content in this area are studied using the grey entropy relational analysis method. And the fitting equations of the regional gas content and main controlling factors are obtained using the multiple regression method. This study provides a basis for mine gas disaster prevention and control. These results show that the entropy degree of the burial depth of the coal and the distance between the measuring point and the outcrop of the coal seam are 0.996 and 0.989, respectively, which are the key factors controlling the gas occurrence in this area. Then we use multiple regression method to get the regression equation of regional gas content and main control factors, which provides a basis for mine gas disaster prevention and control.
CO2 adsorption on carbonaceous materials obtained from forestry and urban waste materials: A comparative study.
Authors: Garces-Polo Siby Inés , Polo Siby I. Garcés - , Vargas Gabriel de Jesús Camargo , Estupiñán Paola Rodríguez , Hernández-Barreto Diego Felipe , Giraldo Liliana , Piraján Juan Carlos Moreno -
Published: April 2023

The increasing emissions of gaseous pollutants of anthropogenic origin, such as carbon dioxide (CO2), which causes global warming, have promoted a great interest in developing and improving processes that allow their mitigation. Among them, adsorption on porous materials has been proposed as a sustainable alternative. This work presents a study of CO2 equilibrium adsorption at low temperatures, (0, 10, and 20°C) over a wide range of low pressures, on activated carbon derived from eucalyptus (ES) and patula pine (PP) forest waste and carbonaceous material derived from waste tires (WT). Previously the precursors of these materials were prepared and characterized in terms of their physicochemical properties and thermochemically treated with phosphoric acid (ES and PP) and oxidized with nitric acid (in the case of WT). Additionally, these materials were used to obtain monoliths using uniaxial compaction techniques and different binding agents, obtaining better results with montmorillonite. All six adsorbent solids were characterized through their textural and chemical properties and proven in CO2 adsorption. The highest specific surface area (1405 m2/g), and micropore properties were found for activated carbon derived from eucalyptus allowing the highest adsorption capacity ranging from 2.27 mmol/g (at 0°C and 100 kPa) to 1.60 mmol/g (at 20°C and 100 kPa). The activated carbon monoliths presented the lowest CO2 adsorption capacities, however, the materials studied showed a high potential to be focused on CO2 capture and storage applications at high pressures. The isosteric heats of adsorption were also estimated for all the materials and results ranged from 16 to 45 kJ/mol at very low coverage explained in terms of the energetic heterogeneity and weakly repulsive interactions between adsorbed CO2 molecules.
Pharmaceutical care of patients with nasopharyngeal carcinoma complicated with lung abscess by clinical pharmacists
Authors: Li Qinchuan , Zou Ya , Yang Yali , Guan Wenju
Published: April 2023

A patient with nasopharyngeal carcinoma complicated with lung abscess was given full pharmaceutical care by clinical pharmacists, especially for the treatment of antitumor drugs (chemotherapy, nituzumab, radiotherapy) and lung abscess. To explore the significance of pharmaceutical care for pulmonary abscess in patients with nasopharyngeal carcinoma during antitumor therapy. Finally, the antitumor treatment effect of the patient reached PR, the adverse reactions were improved, the lung abscess lesions were effectively improved, and the individualized medication monitoring by clinical pharmacists achieved phased results. Conclusion This case is the first reported case of nasopharyngeal carcinoma complicated with lung abscess and clinical pharmacists are involved in the treatment. It is of great significance for the selection of antitumor treatment plan, the selection of antibacterial drug varieties and the treatment course of similar patients complicated with lung abscess during antitumor therapy.
Music Recommendation Algorithms Based On Knowledge Graph and Multi-task Feature Learning
Authors: Liu Xinqiao , Yang Zhisheng , Cheng Jinyong
Published: April 2023

Both sparsity and Cold-Start Problems are inevitably encountered in the music recommendation scenario. Auxiliary information have been utilized to music recommendation algorithms to offer users more accurate music recommendation results. This paper proposes an end-to-end framework MMSS_MKR, which uses the knowledge graph as a source of auxiliary information to serve the information obtained from it to the recommendation module. The framework exploits Cross & Compression Units to bridging the Knowledge Graph Embedding task and the recommendation task modules. We can obtain more realistic triple information and to exclude false triple information as far as possible since our model obtains the triple information through the music knowledge graph, and the information obtained through the recommendation module is used to determine the truth of the triple information.And thus, the knowledge graph embedding task is used to serve the recommendation task. In the recommendation module, multiple predictions are adopted to predict the accuracy of the recommendation. In the Knowledge Graph Embedding module, multiple calculations are used to calculate the score. Finally, the loss function of the model is improved to help us to obtain more useful information for music recommendation. The MMSS_MKR model achieves significant improvements in music recommendation over many existing recommendation models.
Identification and functional mechanism verification of key microRNAs associated with the fibrosis progression in chronic kidney disease
Authors: He Kaiying , Zhou Xiaochun , Zhao Jing , Du Hongxuan , university Yang He , Deng Rongrong , Wang Jianqin
Published: April 2023

Background: Chronic kidney disease (CKD) is a serious threat to human health worldwide, and its incidence is increasing annually. The incidence of CKD is a worldwide problem that heavily threatens human health and is increasing annually. A growing amount of information is emerging about the role of miRNAs in the regulation of renal fibrosis, which has aroused interest in the development of drugs that block pathogenic miRNAs or restore protective miRNAs levels.
Methods: The aim of this study was to identify the microRNAs (miRNAs) differentially expressed in renal tissues from patients with progressive DN and FSGS of high fibrosis scores to investigate the function and mechanism of miRNAs in renal fibrosis by using kidney tissues from normal and MCD patients as controls. First, we investigated the expression profiles of miRNAs in human kidney biopsy samples using microarray. Then, two new miRNAs were selected to explore the biological functions in TGF-β1 or HG -induced cell models using human proximal renal tubule cells (HK-2). GO and KEGG Pathway Enrichment Analysis were used to explore the target genes and their mechanism in renal fibrosis.
Results: The kidney biopsy samples from three types of diseases representing different fibrosis states, two novel miRNAs, hsa-miR-1470-3p and hsa-miR-4483-3p, were detected as consistently differentially expressed among all three types of patient's renal samples and in mice model. In vitro, hsa-miR-4483-3p was suppressed, whereas hsa-miR-1470-3p was induced by treatment with TGF-β1 or HG. Inhibition of hsa-miR-1470-3p or overexpression of hsa-miR-4483-3p promoted HG or TGF-β1-induced fibrosis in HK-2 cells. The further study revealed that MMP-13 and TIMP1 were the target genes of hsa-miR-1470-3p and hsa-miR-4483-3p, respectively.
Conclusion: In conclusion, the present study identifies newly dysregulated miRNA profiles related to fibrosis kidneys. Hsa-miR-1470-3p and hsa-miR-4483-3p are demonstrated to involve in kidney fibrosis by regulation of MMP13, TIMP1 respectively. Our results may represent a promising research direction for renal disorders and help identify new biomarkers and therapeutic targets for chronic kidney disease.
An online survey of women’s perceived care needs following miscarriage in hospital settings in Northern Ireland.
Authors: Galeotti Martina , Robinson Martin , Mitchell Gary , Tomlinson Mark , White Jonathan , Aventin Áine
Published: April 2023

Background
Miscarriage is a traumatic event for many women with significant psychological implications for women’s wellbeing. Women can experience anxiety, depression and post-traumatic stress disorder symptoms following their pregnancy loss. Health professionals are often the first point of contact when women experience symptoms of miscarriage but are not always equipped to meet women’s emotional needs. There is a lack of evidence on how best to support women who experience miscarriage within hospital facilities. This study aimed to fill this gap.
Methods
A survey was designed and distributed using social media targeting women who experienced miscarriage and attended any hospital facility in Northern Ireland. The survey included needs- and experience-focused questions and ‘The Revised Impact of Miscarriage Scale (RIMS)’. Demographic and experiential associations were analysed using Pearson’s correlation, between subjects t-test, and multiple regression.
Results
The results showed that miscarriage is associated with negative impacts on women’s emotional and psychological wellbeing. Many women perceived miscarriage as a devastating and isolating event. Further, this study highlighted the influence of socio- demographic and care-related risk factors on miscarriage experience.
Conclusions
Health professionals should consider a number of issues when interacting with women in hospital, particularly focusing on the emotional factors which can contribute to women’s distress. Although little can be done about socio-demographic factors from a health care point of view, it is still important to acknowledge those as risk factors. There is currently a lack of evidence-based interventions aimed at supporting women in hospital settings and further research should focus on the development of these.
Evaluating Patient and Otolaryngologist Dialogues Generated by ChatGPT, Are They Adequate?
Authors: Topsakal Oguzhan , Akinci Tahir Cetin , Celikoyar Mazhar
Published: April 2023

AI applications are becoming more and more prevalent each day. ChatGPT is a recent AI tool that has amazed many people with its capabilities. It is expected that large language model solutions like ChatGPT will provide unique solutions and transform many industries. In many medical educational institutions, it is desired that medical students experience simulated patient encounters before meeting with real patients. These simulations can be designed to closely mimic the experience of a real-life patient encounter, allowing students to practice communication and history-taking skills in a realistic setting. Designing dialogues for these simulations is an important and time-consuming challenge. In this study, we evaluate if ChatGPT, an AI tool based on GPT-3, can generate adequate patient-doctor dialogues that can be utilized for medical student training. We analyze patient-doctor dialogues generated by ChatGPT for ten common ENT diseases and discuss the pros and cons of these dialogues. We believe the patient-doctor dialogues provided by ChatGPT can be a good starting point for teaching medical students how to communicate with patients.
User Perception Simulation of Art Products Visual Design Based on VR Recognition
Authors: Hu Jiachong
Published: April 2023

The development of the computer is reflected in every aspect of life, and has actually changed people's life. Under the impact of computer technology, the traditional art design must be changed to adapt to the contemporary trend of The Times, so all kinds of digital art emerge in an endless stream. Whether it is drawing through computer technology, or using computer technology to carry out interactive virtual art design, or digital collections under the influence of the metauniverse, all show that computer technology has been deeply combined with art design. At the same time, the rapid economic development has greatly increased the demand for art products. The economic model that emphasized the market and production in the past has gradually evolved to a consumer-oriented economic model, bringing new opportunities and issues to the art design industry. This research centered on this issue investigates the use of the Internet of objects and visualization system technology. For example, the quality and efficiency of color vision can be improved by designing and supporting color visual effects, artistic product appearance, and design practices. The application and promotion of artistic product appearance design centered on convenient color-painting effects provide new methods and means for design. Through the Internet of Things technology and visual system art works, interactive contact with users can be made, thus redefining the relationship between artworks and viewers, and promoting the development of the art field in the information age.
A genomic instability-associated lncRNA signature for predicting prognosis and biomarkers in lung adenocarcinoma
Authors: Lin Chunxuan , Lin Kunpeng , Li Pan , Lin Xiaochun , Dai Yong , Liu Taisheng , Wei Chenggong
Published: April 2023

Genomic instability (GI) was associated with tumorigenesis. However, GI-related lncRNA signature (GILncSig) in lung adenocarcinoma (LUAD) is still unknown. In this study, the lncRNA expression data, somatic mutation information and clinical survival information of LUAD were downloaded from The Cancer Genome Atlas (TCGA) and performed differential analysis. Functional and prognosis analysis revealed that multiple GI-related pathways were enriched. By using univariate and multivariate Cox regression analysis, 5 GI-associated lncRNAs (AC012085.2, FAM83A-AS1, MIR223HG, MIR193BHG, LINC01116) were identified and used to construct a GILncSig model. Mutation burden analysis indicated that the high-risk GI group had much higher somatic mutation count and the risk score constructed by the 5 GI-associated lncRNAs was an independent predictor for overall survival (OS) (P < 0.05). Thus, we found that GI-associated lncRNAs may involve in progression and prognosis of LUAD. And targeting GI-associated lncRNAs may be an alternative for clinical therapy.