bluuebunny/crossref_metadata_2025 huggingface dataset:
Developing a Blue Economy in Depok West Java, Indonesia: Opportunities and Challenges of Neon Tetra Fish Cultivation
Authors: Setiyowati Harlis , Nugroho Mulyanto , Halik Abdul
Published: August 2022

Due to the prospective local and international markets, the neon tetra fish breeding industry has its own allure for fish lovers and as a side business. The goal of the study was to analyze the opportunities and difficulties associated with neon tetra fish farming in order to build a "Blue Economy" policy. The Depok City Food Security and Fisheries Service (DKP3) program was implemented with the help of key informants who were chosen based on the following criteria: 1) DKP3 Officials, such as the Board of Trustees of the Fish Farming Group (POKDAKAN), 2) Researchers from the BRBIH (Ornamental Fish Farming Research Center), 3) Practitioners/Extension Workers, and 4) POKDAKAN.The study's conclusions state that the relevant Dinas must support local policies based on natural identification that are strengthened at the national level, that routine human resource training needs to be improved, that technology needs to be taken into account in collaboration with the private sector, and that post-harvest and market access are essential for industry. The SWOT analysis's findings, which are in quadrant 1, show that the firm is in a position for rather aggressive expansion.
Design and Characterizing of Blower Wind Tunnel Using CFD
Authors: Azzawi Itimad
Published: August 2022

new subsonic blower wind tunnel design has been studied both numerically and experimentally, it is also referred to as “blower” wind tunnel. This paper, is initially aimed to address each sequential stage of the wind tunnel design process. Rather than applying the standard method of modelling solely the flow in the test section, a large-scale CFD model of the whole wind tunnel was employed. The loss of every constituent element was calculated and then all the losses are added up to determine the power needed for the wind tunnel operation which is used as “intake fan” boundary conditions in the CFD model. Then, flow uniformity and turbulent intensity measurements in an empty test section using a Pitot-static tube and hot wire anemometer (HWA) were introduced to validate the CFD results. The results showed that flow quality was significantly affected by boundary layer controllers (honeycomb and mesh screens) in the settling chamber and wide-angle diffuser. Investigations were also conducted to evaluate the flow deficit in the wake area behind a convex hump model using HWA. This was additional experimental tests carried out to validate the suitability of the wind tunnel flow aerodynamic research.
Telomerase Inhibitors TMPyP4 and Thymoquinone Decreased Cell Proliferation and Induced Cell Death in NSCLC Cell Line LC‐HK2, Modifying the Pattern of Focal Adhesion
Authors: Garnique A.M. Bernabe , Rezende‐Teixeira P. , Machado‐Santelli G.M.
Published: August 2022

G‐quadruplexes (G4) are structures formed at the ends of the telomere, these are rich in guanines and were stabilized by molecules that bind to specific sites. TMPyP4 and Thymoquinone (TQ) are small molecules that bind to the G4, they have drawn attention because of their role as telomerase inhibitors. The aim of this study was to evaluate the effects of telomerase inhibitors on cellular proliferation, senescence, and death. Two cell lines LC‐HK2 (NSCLC) and RPE‐1 were treated with TMPyP4 (5μM) and TQ (10μM). Both inhibitors were effective in decreasing telomerase activity. TMPyP4 increased the percentage of cells with membrane damage associated with cell death and decreased the frequency of cells in the S‐phase. TMPyP4 changed the cell adhesion ability and modified the pattern of focal adhesion. TQ acted in a dose‐dependent manner, increasing the frequency of senescent cells, and inducing cell cycle arrest in the G1. In conclusion, the effects of both drugs on LC-HK2 and RPE-1 cell lines were different although both are telomerase inhibitors, because TMPyP4 decreased proteins of cell adhesion and TQ induces a decrease in cell viability.
Detection and Verification of a Key Intermediate in an Enantioselective Peptide Catalyzed Acylation Reaction
Authors: Brauser Matthias , Heymann Tim , Thiele Christina Marie
Published: August 2022

For more than twenty years chemists use peptidic organocatalysts to transfer acyl groups onto alcohols. The goal was and still is the increase of selectivity towards the substrate of choice. One carefully designed example is a highly enantioselective tetrapeptide organocatalyst for the kinetic resolution of trans-cycloalkane-1,2-diols. Until now, the intermediate responsible for the acyl transfer of this tetrapeptide has never been directly observed. It was proposed computationally that a π-methylhistidine moiety is acylated as an intermediate step in the catalytic cycle. In this study we set out to investigate whether we can detect and characterize this key intermediate using NMR-spectroscopy and mass spectrometry. Different mass spectrometric experiments using a nano-ElectroSpray Ionization (ESI) source and tandem MS-techniques allowed the identification of tetrapeptide acylium ions using different acylation reagents. The complexes of trans-cyclohexane-1,2-diols with the tetrapeptide were also detected. Additionally, we were able to detect acylated tetrapeptides in solution using NMR-spectroscopy and monitor the acetylation reaction of a trans-cyclohexane-1,2-diol. These findings are important steps towards the understanding of this organocatalyst and its high enantioselectivity.
Human Milk Feeding for Septic Newborn Infants Might Minimize Their Exposure to Ventilation Therapy
Authors: Moliner-Calderón Elisenda , Verd Sergio , Leiva Alfonso , Ponce-Taylor Jaume , Ginovart Gemma , Moll-McCarthy Pia , Gelabert Catian , Figueras-Aloy Josep
Published: August 2022

Background. It is well established that human milk feeding contributes in limiting lung disease among vulnerable neonates. The primary aim of this research was to compare the need for mechanical ventilation of human milk-fed sick neonates with that of formula-fed sick neonates. Methods. All late preterm and full term infants from a single center with findings of sepsis, from 2002 to 2017, were identified. Data regarding infant feeding during hospital admission were recorded. Multivariate logistic regression analyses were performed to assess the impact of the type of milk on ventilation support and main neonatal morbidities. Results. The total number of participants was 322 (human milk group = 260, exclusive formula group = 62). On bivariate analysis, 72% of human milk-fed neonates did not need oxygen therapy nor respiratory support versus 55% of their formula-fed counterparts (P<0.0001). Accordingly, invasive mechanical ventilation was required by 9.2% of human milk-fed infants versus 32% of their formula-fed counterparts (P=0.0085). These results hold true in multivariate analysis, indeed human milk-fed neonates were more likely to require less respiratory support (OR=0.44; 95% CI: 0.22, 0.89) when compared to those who were exclusively formula-fed. Conclusion. Human milk feeding might minimize exposure to mechanical ventilation.
Calabria as a Genetic Isolate, a Model for the Study of Neurodegenerative Diseases
Authors: Bruno Francesco , Laganà Valentina , Di Lorenzo Raffaele , Bruni Amalia Cecilia , Maletta Raffaele
Published: August 2022

Although originally multi-ethnic in its structure, nowadays the Calabria region of southern Italy represents an area with a low genetic heterogeneity and a high level of consanguinity that allows rare mutations to be maintained due to the founder effect. A complex research methodology ranging from clinical activity to genealogical reconstruction of families/populations along the centuries, creation of databases, and molecular/genetic research, has been modelled on the characteristics of the Calabrian population for more than three decades. This methodology allows to the identification of several novel genetic mutations or variants associated with neurodegenerative diseases. In addition, in this population it has been reported a higher prevalence of several hereditary neurodegenerative diseases such as Alzheimer’s disease, Frontotemporal dementia, Parkinson’s disease, Niemann Pick type C disease, Spino-cerebellar ataxia, Creutzfeldt–Jakob disease and Gerstmann Straussler Scheincker disease. Thus, Calabria constitutes a model for the study of neurodegenerative diseases, a sort of "outdoor laboratory" useful for the advancement of knowledge in this field. Here, we summarize and discuss some results of research data supporting the view that Calabria is a genetic isolate and could represent a useful model for the study and characterization of neurodegenerative diseases.
Bubbles Nucleation from a de Sitter-Planck background with Quantum Boltzmann Statistics
Authors: Licata Ignazio , Fiscaletti Davide , Tamburini Fabrizio
Published: August 2022

– Every physical theory involving quantum fields does require a model of the quantum vacuum. The vacuum associated to quantum gravity must incorporate the prescriptions from both the theory of relativity and quantum physics. In this work, starting from the hypothesis of nucleation of sub-Planckian bubbles from a de Sitter vacuum, we study the necessary conditions to obtain baby universes, black holes and particles. The de Sitter-Planck background is described by an “infinite” Quantum Boltzmann statistics that generates fermions and bosons, and manifests itself as a deformation of the geometry that leads to a generalized uncertainty principle and a unified expression for the generalized Compton wavelength and event horizon size, drawing a connection between quantum black holes and elementary particles, the latter seen as a collective organization of the bubbles of the vacuum described by the generalized Compton wavelength. The quantum thermodynamics of black holes is then outlined and the physical history of each bubble is found to depend on the cosmological constant described in terms of thermodynamic pressure. Finally, a suggestive treatment of the Casimir effect is provided in the de Sitter-Planck background with Quantum-Boltzmann statistics and wormholes are explored as bubble coalescence processes.
Linking sediment flux to river migration in arid landscapes through mass balance
Authors: Ielpi Alessandro , Lapôtre Mathieu G.A.
Published: August 2022

Lateral migration is a key process shaping sinuous rivers and controlling sediment exchange with floodplains. The rate at which channels migrate is affected by bend curvature, bank erodibility, and sediment supply. The relationship between migration rate and sediment supply is poorly understood in dryland regions, where direct measurements are scarce. Here we propose a simple mass-balance model to estimate the sediment flux of ephemeral streams in North America's Great Basin and establish a comparison with timelapse photogrammetric data of lateral migration. The model takes into consideration variables such as long-term hillslope erosion, transient sediment storage in intra-catchment lowlands, and sediment bypass to depocenters. Our results point to first-order similarities in how sediment supply drives channel migration across diverse hydro-climatic regimes. However, we find that, for a given sediment supply and channel width, and despite their ephemeral discharge, dryland streams with minimal bank vegetation migrate about three times faster than humid-climate, vegetated ones. This difference in migration pace likely results from the compound effect of bank erodibility and bend geometry. Our model sheds new light on the driving mechanisms of channel mobility in dryland streams and may find application in assessing the sediment budgets of ungauged streams, reservoir trapping, and morphodynamic adjustments in stressed watersheds.
Patients' Experiences in Using Diabetes Self-Management Application: A Scoping Review
Authors: Kamillah Siti , Panduragan Santhna Letchmi , Poddar Sandeep , Abdullah Bibi Florina
Published: August 2022

Diabetes cases continue to increase and burden the nursing system worldwide. Diabetes Self-Management application software (DSM apps) can enable patients to manage their disease independently while simultaneously reducing the burden of the system. These apps are already available, yet global patients’ interests in using them are still low. This research aimed to describe the global tendencies of diabetes app usage as an effort to manage diabetes cases by exploring the perceptions of diabetes patients on the use of DSM apps. This study summarized journal searches from the Elsevier, Wiley, BMC, and JMIR database with the search terms “web-based and mobile technology,” “digital health intervention,” “diabetes management mobile application,” “mobile health for diabetes self-management,” “tablet-based self-management,” and “diabetes self-management qualitative.” A total of nine journals published between January 1, 2018, to December 31, 2020, that meet the inclusion and exclusion criteria were selected. The study concluded diabetic patients in Asia, Africa, Europe, Australia, and America stated that the DSM apps used was helpful in managing diabetes. Other demographic factors such as age, level of education, and economic status have influenced the perception and tendency to use DSM apps.
Psychological Distress among Parents due to Their Children Having Cancer: A Systematic Review
Authors: Nurhidayah Ikeu , Dewi Ratih Kusuma , Hidayati Nur Oktavia , Poddar Sandeep
Published: August 2022

As a result of their children's cancer, parents are at risk of experiencing psychological distress. Parental stress will affect their roles in providing emotional support for their children. This systematic review aimed to identify the psychological distress of parents having children with cancer. EBSCO, PubMed, Science Direct, and Research Gate were applied to conduct electronic searches. The terms "parents," "children," "cancer," and "psychological distress" were combined using the Boolean expressions "OR" and "AND." The inclusion criteria were non-experimental studies published in English within the last 10 years (2010-2020). Risk of bias assessment was conducted for each included study using the Joanna Bridge Institute critical appraisal tools to build transparency of findings. A total of 12 articles were included in the study to determine the prevalence of psychological distress among parents and the symptoms and factors that influence it. The high category of parental distress reached 17.6%, while the very high category reached 5.8%. Thus, it needed more concern. Suicidal ideation, insomnia, and poor health were all connected to psychological distress, with the age of children and parents, the number of children, occupation, education level, depressive history, and time of diagnosis all being predictive factors.
COVID-19 Prevention and Control: Mining Industry Responses to the Pandemic
Authors: Susanto Arif , Khaliwa Agra Mohamad , Iqbal Muhamad Razif , Putro Edi Karyono , Abdilah Asep Dian
Published: August 2022

The rapidly growing global Coronavirus Disease 2019 (COVID-19) pandemic crisis affects the labor-intensive mining industry. The industry is characterized by high worker mobility and 24-hour operations; thus, this continuous, mobile workforce increases the transmission risk of COVID-19 and has been a challenge for the mining industry during the pandemic. PT X, one of the largest mineral mining locations in Mimika District, Central Papua Province, Indonesia, was challenged to face the COVID-19 pandemic crisis. Therefore, this qualitative study aimed to analyze the COVID-19 handling efforts by PT X Concentrating Division using a descriptive-analytical method to describe the completion of PT X. The assessment aimed to examine nine critical factors formulated by the International Labour Organization and evaluated as practical steps to prevent and mitigate the virus spread in the division. Furthermore, an analysis was conducted on data related to COVID-19 handling. The results showed that the nine critical factors had an average value of 89.41%. These results indicated that the pandemic handling efforts in the division had been implemented well.
Analysis of COVID-19 Prevention Behavior in Diabetes Mellitus Patients: A Literature Review
Authors: Hasyim Hamzah , Putri Giszka , Dale Patricia
Published: August 2022

The Coronavirus Disease 2019 (COVID-19) is a new human-infected coronavirus causing respiratory problems. The COVID-19 can affect people of all ages, but those with a record of chronic disease (comorbidity) are at higher risk of poor outcomes with the COVID-19. This study aimed to review COVID-19 preventative behavior in diabetes patients. Diabetes Mellitus (DM) is one of the comorbidities that aggravates COVID-19 in patients. Such patients are at risk of deteriorating critical conditions in the intensive care units (ICUs) and even death. Prevention is the best measure to avoid COVID-19, although it is currently considered adequate. This article reviewed 22 papers focusing on COVID-19, DM, COVID-19 in DM patients, COVID-19 preventive behavior, and COVID-19 knowledge, attitude, and practice in patients with chronic disease, while primary focusing on DM. It is revealed that diabetes patients at high risk of COVID19 need to practice good preventive behaviors. Furthermore, it emphasizes that improving knowledge, encouraging positive attitudes, and implementing good COVID-19 preventive behaviors in DM patients requires education and access to the COVID-19 related health information.
Does It Still Show a Deficit? Arguing Post-COVID-19 Health Financing System in Bogor, Indonesia
Authors: Veruswati Meita , Asyary Al , Alnur Rony Darmawansyah , Sagala La Ode Hasnuddin S , Guspianto Guspianto , Herawati Maria Holly
Published: August 2022

Before the COVID-19 pandemic, the Bogor City Government regulated to cover the health financing claim during the Indonesian National Health Insurance (NHI) integration period due to the lower amount of health care claim per episode in regional hospitals compared to ones that NHI paid. This study aimed to address post-COVID-19 health financing at two hospitals in Bogor City, West Java Province, Indonesia. Descriptive analysis using the aggregate statistical summaries was taken to explore the medical care episodes of the data series at two hospitals for the last two years. Of the 890 checked medical records data, the deficit occurred in 197 (22.1%) medical care episodes, while five (0.6%) exceeded the hospitals' tariffs. The remaining 688 (77.3%) medical care episodes had suits with the Indonesian Case Based Groups. Almost a quarter of medical care episodes in aggregate experienced a deficit in the two years before the pandemic. This study is the first to provide new insight into the discussion on medical care financing in a developing country's post-pandemic era in a newly-implemented NHI system.
Measuring the Success of PeduliLindungi Application Use for Supporting COVID-19 Prevention: A Case Study among College Students in Jakarta, Indonesia
Authors: Nurmansyah Mochamad Iqbal , Rosidati Catur , Yustiyani Yustiyani , Nasir Narila Mutia
Published: August 2022

The Indonesian Government has launched PeduliLindungi (PL) mobile apps as a COVID-19 preventive tool. This study aimed to describe the PL utilization and determine the factors influencing its successful use among college students. This study used a cross-sectional design and a total population sampling at a university in the Special Capital Region of Jakarta, Indonesia. The Delone and Mclean Information System Success Model was adopted to measure the use of the apps. The Spearman’s rank correlation test was performed to determine the relationship between two variables. Furthermore, 354 respondents participated in this study. The respondents used the apps mostly to display the vaccination certificate and check in/out from public facilities. The overall user satisfaction value towards the application was 3.83+0.76. The system quality (r= 0.621, p-value<0.001) and information quality (r= 0.626, p-value<0.001) were associated with the user satisfaction while the user satisfaction (r= 0.471, p-value<0.001), was correlated to the perceived benefit. In brief, perceived benefit was positively correlated with the user’s satisfaction, whereas user satisfaction was positively correlated with self-efficacy, system quality, and information quality.
Susceptibility Antibiotics of Bacteria Causing Urinary Tract Infection in Pregnant Women Infected with COVID-19
Authors: Hateet Rashid Rahim
Published: August 2022

Urinary tract infections (UTIs) are a significant issue in women of all ages, but they are especially common during pregnancy. Co-infection of the Coronavirus Disease 2019 (COVID-19) with UTIs in pregnant females is a hot topic today, as it may be linked to various conditions. Furthermore, understanding the types of bacteria that cause UTIs and related antimicrobial resistance may aid the clinician in selecting the appropriate empirical treatment. This study aimed to isolate and characterize causative agents of UTIs and determine antimicrobial treatment sensitivity patterns among pregnant women diagnosed with the COVID-19 admitted to Teaching Hospital X in Iraq. Antimicrobial drug resistance testing was performed on 42 mid-stream urine samples that had been prepared for culture. Escherichia coli (18/42.85%), Klebsiella pneumoniae (9/21.45%), Streptococcus galactica (7/16.66%), and Proteus mirabilis (4/9.52%) were the bacteria isolated and diagnosed from pregnant women. The infections Pseudomonas aeruginosa and Staphylococcus aureus were the least common (2/4.7). In conclusion, the isolated uro-pathogens showed high resistance to Gentamicin, Cefuroxime, Ceftriaxone and sensitive to Ampicillin and Nitrofurantoin. The common cause of UTIs among pregnant women infected with the COVID-19 was discovered to be E. coli. Before recommending therapy, culture and sensitivity testing of isolates from urine tests should be conducted on a regular basis.
Misperception of Vaccine Acceptance to the COVID-19 Vaccine in Indonesia: A Systematic Review
Authors: Idris Haerawati , Zaleha Siti
Published: August 2022

Vaccination is one of main steps to overcome the continuous increase in the Coronavirus Disease 2019 (COVID-19) pandemic. However, its implementation is hindered by various responses such as acceptance and refusal. This study aimed to describe the perception of the COVID-19 vaccine in Indonesia. A systematic review design was used, and the literature searches were carried out using Google Scholar, PubMed, Science Direct, and WHO COVID-19 databases following the PRISMA guideline process. The keywords used were coronavirus, COVID-19, vaccination, COVID-19 vaccination, vaccine response, vaccine acceptance, vaccine perception, and Indonesia in English or Indonesian articles published in 2020-2021. This study discovered 13 sample articles including six qualitative and seven cross-sectional studies. The responses showed varying results divided into positive, indicating vaccine acceptance, and negative responses that made hesitations to refusal. People with a good response and perception considered the vaccine an antibody to fight the virus. Meanwhile, others who hesitated or rejected were due to their concerns about side effects, safety, and effectiveness. Furthermore, inaccurate information or hoaxes circulating in the community significantly influence people's perceptions.
In-Situ Combustion: Myths and Facts
Authors: Sur Sidhartha
Published: August 2022

In-situ combustion (ISC) involves compression and injection of air into heavy/extraheavy oil reservoirs for enhancing production and recovery. Initially, ISC was very popular due to its high theoretical thermal efficiency, though more failures than successes in the 1990s made this process unpopular. It is a fact that it is now widely considered archaic. However, Suplacu de Barcau (Romania) and Balol-Santhal (India) ISC projects have brought the process back into focus. Performance of the Balol-Santhal-Bechraji over the last 25 years provides clarity to answer the question “Failure to enhance oil production and recovery by ISC: Myth or fact?” The author appreciates the views, decisions, and efforts of all global scientists/engineers/operators associated with the ISC process in the laboratory/field. Opinions and views presented in this paper are solely based on the author’s experience, which may be in line or may differ.

The discovery of heavy oil northwest of the Cambay Basin, India, in the 1970s led to the initiation of research and development in thermal processes. The depth, rock, and fluid characteristics, drive mechanism, and semi-arid area led to the testing of ISC over steamflood in Balol. Laboratory findings are key to understanding the reaction kinetics of oil and process manifestations. Upgrading of oil is the key manifestation of ISC in the laboratory, but it is not seen in the field due to blending in long-distance displacement methodology. The involvement of laboratory personnel in design and surveillance plays an important role in the success of the project. Over the last 25 years, the Balol-Santhal ISC projects demonstrate the rejuvenation of declining fields with sustained enhanced oil production and an increase in recovery. Lessons of the Bechraji field indicate that process does not succeed in all reservoir settings. It is particularly suited to relatively clean, mobile heavy oil reservoirs with structural relief. Long-distance displacement of oil (vertical injector-vertical/horizontal producer spaced apart) is effective in a mobile oil reservoir. With low mobility oils, a short-distance oil displacement process using a pair of vertical injector and horizontal producer (horizontal well placed below the air injector) can be the preferred way for exploitation. This methodology has also the potential to capture upgraded oil. The process attracts more value when it is designed as operator friendly and flexible, integrating with gravity. Appropriate ignition types, continuous surveillance, maintaining optimum air injection rates, and re-engineering are important for the success of ISC. Success depends on the fabric and architecture of the reservoir, the way it is designed and implemented, and by integration of knowledge gained in the journey from laboratory to field with the process. It can be concluded that the perception of the ineffectiveness of ISC to enhance oil production and recovery from mobile heavy/extraheavy oil reservoirs cannot be generalized as a fact.
iEngage: a digital health education program designed to enhance physical activity in young adolescents
Authors: CAILLAUD Corinne , LEDGER Susan , Diaz Claudio , CLERC Gael , GALY Olivier , YACEF Kalina
Published: August 2022

iEngage is a modular health education and behavioural change program designed to help adolescents increase moderate to vigorous physical activity (MVPA). The program is delivered through the iEngage app which integrates activity trackers data (Misfit Ray©) within 10 interactive learning modules. Key features include guidance to set goals, self-monitor and assess achievements, and experiential learning via the connected activity trackers which allows for continuous steps recording during the program. iEngage was implemented in two schools over 5 weeks with 10-12 years old adolescents (n = 57) and PA outcomes compared to control group (n=26). Results show that adolescents successfully set goals and self-assessed achievements during the program, progressing toward higher physical activity (PA) levels as shown by the increase in daily steps through the program (+30%, + 2647 steps/day, P < .001) with boys increasing goals and achievements faster than girls. The consistency in days totalling at least 11,000 steps/day increased from 35% at the start to 48% at the end of the program. The increase in PA is confirmed through the assessment of MVPA during schooldays pre- and post- program via research grade wrist accelerometers in iEngage and in control participants. Contrasting with the control group, MVPA was increased in the week following the program (~+5 min/day, P = .023) in short bouts, particularly during lunch time, recess and after school. This study shows that a digital program integrating activity trackers and combining health education, goals setting and self-monitoring of PA, helped young adolescents enhance PA goals, improve achievements and increase MVPA.
Can probiotics modulate the cytokines and antibodies levels in food allergy models? A meta-analysis.
Authors: Sariego Taimy Hernández , Toro Daylin Domínguez del , Barranco Jesús Junco , Arenal Amilcar
Published: August 2022

Background
Food allergy has emerged as a significant medical problem in the last decades. Probiotics' effects on food allergies have brought contradictory results. The present study aimed to assess the probiotic's results in cytokines related to food allergy through meta-analysis.
Methods
Science Direct and Scopus search engines were searched for relevant studies published from 2008 to 2019 without language exclusion. Some experiments were selected from articles evaluating the effect of probiotics on food allergy through pre-clinical studies, with the results published in peer-reviewed journals, with any dispersion measure. Cytokines values were selected as outcomes. We used metaregression to study the probiotic effect in each cytokine and the influence of some experimental design factors.
Results
We obtained a total of 13 studies that met the criteria for the meta-analysis. Probiotics download the regulation of IL-4 and IgE and the upload regulation in IL-6 and TGF-β compared to controls. Lactobacillus is a species that helps in the restoration of IL-4 levels. Animal age, probiotic concentration, and microorganism specie affect the probiotic effect in INF-γ.
Conclusion
The meta-analysis evidenced, in pre-clinical studies, the effects of probiotics on cytokines related to food allergy.
Biocontrol Potential of Bacillus velezensis wr8 secondary metabolites against Penicillium sp.
Authors: Wang Rui , Wang Xiaohu , Weng Yuting , Lan Baofeng , Zhou Liqin , Yang Hui
Published: August 2022

Blue mold caused by Penicillium sp. is one of the most serious postharvest diseases of citrus fruit. The aim of this study was to isolate and identify native Bacillus with inhibition phenotypes of citrus plants fruits. We investigated the antifungal effect of Bacillus velezensis wr8 on the postharvest pathogens Penicillium sp. inoculated on fruits, as well as on the growth of these fungi on Petri dishes with defined media. MALDI-TOF MS was conducted to illuminate the underlying mechanism. Results showed that Bacillus velezensis wr8 significantly inhibited Penicillium sp. growth in vitro. Moreover, secondary metabolites suppressed the disease development of citrus fruits artificially inoculated with Penicillium sp. in 25℃. Furthermore, MALDI-TOF MS indicated that lipoprotein with the molecular mass of 30.2 kDa was a key component about against Penicillium sp.. In addition, the secondary metabolites with antibacterial activity against Escherichia coli showed antimicrobial peptide with the molecular weight of 9.8 kDa. These results demonstrated that Bacillus velezensis wr8 could produce lipoprotein and antimicrobial peptide to inhibit Penicillium sp. and Escherichia coli which has broad application prospect in the future development. Finally, Bacillus velezensis wr8 is to provide data support for the development and utilization of high activity bacteriocin at room temperature and its application in the field of food safety.
Constructing Ti3C2Tx/Carbon Fiber hybrids for enhancing the interfacial strength and erosion wear resistance of EP based composite coating
Authors: Chen Yufan , Wu Yinghao , Zhao Wenjie
Published: August 2022

The composite coatings are indispensable for protecting the offshore steel structures serviced in the splash zone. But the mechanical properties of conventional epoxy resin (EP) coatings are poor, which would lead to the short-term lifespan. The carbon fiber (CF) with excellent mechanical properties is an ideal filler to reinforce the EP coating, thus we chemically grafted Ti3C2Tx nanosheets onto CF via dopamine to enhance the compatibility between CF and EP. While improving the interface adhesion between CF and EP, the mechanical strength and erosion wear resistance of the CF/Ti3C2Tx@EP coating were also significantly enhanced. The flexural properties of CF/Ti3C2Tx@EP composite coating was evaluated by three-point bending test, and the flexural strength of CF/Ti3C2Tx@EP was increased by 41.95% compared with pure EP coating. The tribological behaviors and erosion wear resistance of those composite coatings were carried out by UMT-3 tribometer and erosion test rig. Comparing with the pure EP coating, the wear rate of CF/Ti3C2Tx@EP was decreased by 43.67%, and the erosion mass and volume of CF/Ti3C2Tx@EP were respectively reduced by 21.31% and 44.50%, this were ascribed to the increased interfacial combination strength between the Ti3C2Tx/CF hybrids and EP matrix. We investigated the failure behavior and revealed the interfacial strengthening mechanism of the CF/Ti3C2Tx@EP composite coating, which would evoke widespread interest in developing high performance and long-term protective composite coatings used in the splash zone of marine environment.
Induced pluripotent stem cell-derived dendritic cell vaccine therapy genetically modified on the ubiquitin-proteasome system
Authors: Tominaga Shinta , Ojima Toshiyasu , Miyazawa Motoki , Iwamoto Hiromitsu , Kitadani Junya , Maruoka Shimpei , Hayata Keiji , Yamaue Hiroki
Published: August 2022

We previously reported that dendritic cells (DCs) transduced with the full-length tumor-associated antigen (TAA) gene induced TAA-specific cytotoxic T lymphocytes (CTLs) to elicit antitumor responses. To overcome the issue of quantity and quality of DCs required for DC vaccine therapy, we focused on induced pluripotent stem cells (iPSCs) as a new tool for obtaining DCs and reported efficacy of iPSCs-derived DCs (iPSDCs). However, in clinical application of iPSDC vaccine therapy, further enhancement of the antitumor effect is necessary. In this study, we targeted mesothelin (MSLN) as a potentially useful TAA, and focused on the ubiquitin-proteasome system to enhance antigen-presenting ability of iPSDCs. The CTLs induced by iPSDCs transduced with MSLN gene (iPSDCs-MSLN) from healthy donors showed cytotoxic activity against autologous lymphoblastoid cells (LCLs) expressing MSLN (LCLs-MSLN). The CTLs induced by iPSDCs transduced ubiquitin-MSLN fusion gene exhibited higher cytotoxic activity against LCLs-MSLN than the CTLs induced by iPSDCs-MSLN. The current study was designed that peripheral T-cell tolerance to MSLN could be overcome by the immunization of genetically modified iPSDCs simultaneously expressing ubiquitin and MSLN, leading to a strong cytotoxicity against tumors endogenously expressing MSLN. Therefore, this strategy may be promising for clinical application as an effective cancer vaccine therapy.
Machine Learning Model Identifies Genomic Variation in Noise-Induced Hearing Loss via Whole-exome Sequencing
Authors: Fan Boya , Wang Gang , Han Haolun , Li Baowei , Wang Lei , Qu Changbei , Zhang Xiaoli , Liu Hongdan , Sun Zhezhe , Zhou Ying , Zhang Yiyan , Wu Wei
Published: August 2022

Noise-induced hearing loss (NIHL) is related to noise exposure and whether humans suffered from NIHL is also related to different sensitivity to noise. Whole exome sequencing (WES) can detect the genetic mutations of NIHL population so as to find the susceptibility of different people from the genetic level. WES can identify contributing genes, not only find NIHL susceptibility genes, but also divide patient cohort into different subtypes. We conducted a case-control (n = 78, n = 35, respectively) study to find the susceptibility genes of NIHL through WES and stratified the cases into subtypes, so as to achieve the purpose of precision medicine. 73 gene variants were used to train the unsupervised machine learning model which separated the case from the control group and divide the population into two subtypes. Supervised machine learning methods compared the above constructed subgroup classification models. This is the first study to link NIHL with gene variants and has produced a new potential classification method that can be applied to precision medicine in people’s different sensitivity to noise. These observations deserve further study on independent and larger clinical samples in order to provide new information for future research on the susceptibility of NIHL.
Identification of transcriptomics biomarker for the early prediction of critically ill COVID-19 patients
Authors: Chen Yong , zhang Wenbo , Yu Yonglin , Chen Xiaoju , Jiang Guolu , Ou Guochun , Liu Qin , Jiang Li , Chen Jianjun
Published: August 2022

Objective
Identifying the biological subsets of severe COVID-19 could provide a basis for finding biomarkers for the early prediction of the prognosis of severe COVID-19 and poor prognosis, and may facilitate specific treatment for COVID-19.
Methods
In this study we downloaded microarray dataset GSE172114 from the Gene Expression Omnibus (GEO) database in NCBI, and screened differentially-expressed genes (DEGs) by using the limma package in R software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted, and the results were presented by volcano, Venn, heat, and enrichment pathway bubble maps in the R language package. Gene set enrichment analysis (GSEA) was used to explore and demonstrate the signal pathways related to severe COVID-19. Protein-Protein Interaction (PPI) Network analysis and visualization were performed by using STRING and Cytoscape. Seven key protein expression molecules were screened by the MOCDE plug-in. Then, the cytoHubba plug-in was used to screen 10 candidate genes with maximal clique centrality (MCC) algorithm as the standard, and the intersection with the Venn diagram was used to obtain seven Hub genes. Receiver operating characteristic (ROC) curves were drawn to determine the area under the curve (AUC), and the predictive value of the key genes was evaluated.
Results
A total of 210 DEGs were identified, including 186 upregulated genes as well as downregulated ones. GO enrichment and KEGG pathway analysis were used, and the results were presented by volcano, Venn, heat, and enrichment pathway bubble maps in the R language package. Gene set enrichment analysis (GSEA) was used to explore and demonstrate the signal pathways related to severe COVID-19. Protein interaction network (PPI) analysis and visualization were performed by using STRING and Cytoscape. Seven key protein expression molecules were screened by the MOCDE plug-in. Then, the cytoHubba plug-in was used to screen 10 candidate genes with maximal clique centrality (MCC) algorithm as the standard, and the intersection with the Venn diagram was used to obtain seven Hub genes. Receiver operating characteristic (ROC) curves were drawn to determine the area under the curve (AUC), and the predictive value of the key genes was evaluated. The AUC of the PLSCR1 gene was 0.879, which was the most significantly upregulated key gene in critically ill COVID-19 patients.
Conclusions
Based on bioinformatics analysis, we found that the screened candidate gene, PLSCR1, may be closely related to the occurrence of severe COVID-19, and can thus be used for the early prediction of patients with severe COVID-19, and may provide meaningful research direction for their treatment.
Statistical evaluation of rainfall time series in concurrence with groundwater resources of Bhandara District, Central India
Authors: Kudnar Nanabhau S. , Kushwaha Nand Lal , Rajashekhar Madiga , Mishra Varun Narayan , Mahesh Rongali , Jatav Malkhan Singh
Published: August 2022

The present study investigates the trend and spatial distribution of rainfall, and groundwater quality assessment for sustainable management of available water resources in the Bhandara district, Maharastra, India. To assess the rainfall trend, parametric and non-parametric statistical techniques (Mann-Kendall test statistic, Sens’s slope estimator) were applied in collected rainfall data from seven gauging stations. The yearly rainfall over the study area reveals substantial decreases during the past 43 years (1971-2013). The trend analysis results showed negative trends in Bhandara, Lakhani, Mohadi, and Pawani, Lakhandur, and Tumsar and positive trendobservedin Sakoli station. However, increased rate of Sakoli station is little about 0.84mm/ year. Among all the stations, Bhandara station experiencing rapidly decreasing rainfall trend. Water samples were analyzed for various parameters such as TSS, TDS, pH, Total Alkalinity etc., andFrom Piper analysis, most of the groundwater samples are concentrated in the Na–Cl type, with minor representations from mixed Ca–Na–HCO3 types. 62.5% of samples influenced by Sea water intrusion. Other 37.5 % representing their groundwater contaminated by Alkaline deposits. About 62.5% of samples having more than the maximum permissible limits of Nitrate in their water content according to the IS:10500. Few parts of study area consist very high saline ground water which is not suitable for irrigation purpose also. The nature of rainfall trends and distribution and groundwater analysis in this district can be useful for other departments or districts.
A coordinate-free approach to the design of generalized Griffis-Duffy platforms
Authors: Shen Chengwei , Pei Xu , Hang Lubin , Yu Jingjun
Published: August 2022

Parallel manipulators remaining permanently in a singularity are beneficial for linear-to-rotary motion conversion. The Griffis-Duffy (GD) platform is mobile structure which can admit a Bricard motion. In this paper, we present a coordinate-free approach to the design of generalized GD platforms, which consists in determining the shape and attachment of both the moving platform and the fixed base. The generalized GD platform is treated as a combination of six coaxial single-loop mechanisms under the same constraints. Owing to the inversion, which is hidden in the geometric structure of these single-loop mechanisms, the mapping from a line to a circle establishes the geometric transformation between the fixed base and the moving platform based on the center of inversion. Moreover, the center of inversion not only identifies the location of rotation axis, but also affects the shape of the generated platform. The graphical construction of generalized GD platforms using inversion, proposed in the paper, provides geometrically feasible solutions of the manipulator for the requirement of the location of rotation axis.
Discovery of a bright-dark binary galaxy in a nearby galaxy group
Authors: Xu Jin-Long , ZHU Ming , Jiang Peng , Yu Naiping , Zhang Chuan-Peng , Liu Xiao-Lan , Wang Jie
Published: August 2022

One of the puzzles in extragalactic astronomy is the number disparity between the standard cold dark matter (CDM) predictions of low-mass dwarf galaxy and observations. It is often referred to as the missing satellite problem. With a large amount of deep optical surveys, the disparity has considerably decreased, but such problem remains open. The existence of ``dark galaxies", being gas-rich but nearly starless, can offers a standard way to explain the missing satellite problem. To date, many objects are considered as candidates of the dark galaxies, however, none of the candidates can be confirmed with solid evidence. Here we report the discovery of an optically bright-dark binary galaxy in the hub position of a filament in nearby galaxy group NGC 1023, based on HI observation using the Five-hundred-meter Aperture Spherical radio Telescope (FAST). The optically bright member of this binary is the known dwarf galaxy NGC 1023A, while the other member is a newly detected dark galaxy FAST 0240+3905. Besides, the binary galaxy shows a Keplerian rotation, implying that two members of the binary is merging. Our result suggests that even if dark galaxies exist, they can merge with other nearby galaxies in a short time scale. Being merged could provide another important clues to the missing satellite problem.
A Lightweight System for High-efficiency Edge-Cloud Collaborative Applications
Authors: Zhang Zhipeng , Ma Wenting , Li Hao , Tang Hongyi , Yuan Xiaohang , Hao Yuan , Xiao Jun , He Hongshun , Liu Wei , Zhou Zhiheng
Published: August 2022

With the development of IoT (Internet of Things) technology, ubiquitous IoT devices and the generated data increase the computational consumption dramatically. In industry, more and more manufacturers attempted to upgrade their manufacturing/assembly lines with sensors to achieve automated and intelligent workshops. Yet, to handle the massive and complicated data generated by end-point devices, technical companies started to utilize edge computing and artificial intelligence (AI). However, the shortcomings of AI in computing efficiency have become an obstacle when applying AI to edge devices. The majority of production systems need to run multiple applications for different detection tasks simultaneously. These tasks require edge nodes capable of managing threads/processes at the least cost to save computational consumption as much as possible. Thus, it is of great significance to improve the edge computing system whilst the presence of performance requirements and the limited computing resources. We intended to tackle the issues by focusing on optimizing the system structure and the complexity of the AI models. First and foremost, we proposed a distinctive cloud-edge collaborative framework composed of one universal block (UB) deployed on the edge devices and multiple parallel task-specific blocks (TSBs) on the cloud servers. This framework makes it possible to only deploy low-cost edge devices on the spots. To cooperate with the edge-cloud framework, we also introduced a pruning method that can reduce the model parameters without lowering the performance, making the system more efficient.
Transplantation of human umbilical cord mesenchymal stem cells induces angiogenesis and promotes repair of uterine scars in rats
Authors: shen xiuyin , Luo Xin , Wu Shuzhen , Wan Yingchun , Ma Huiting , Ye Shaoxin , Zhang Zhuoling , Lu Min , Tang Hai , Gou Xiaoyan , Guo Xiaoling , Liu Zhengping
Published: August 2022

Background
Uterine scar after cesarean section (CS) is an important cause of intrauterine adhesion, amenorrhea, uterine rupture, and infertility in females. Disruptions of angiogenesis play a critical role in the healing of uterine scars. In this study, we investigated the effects of human umbilical cord mesenchymal stem cells (hUC-MSCs) on angiogenesis regeneration in uterine scars in rats following full-thickness excision of uterine walls.
Methods
Approximately 2.0 cm was excised along the uterine wall in each uterine horn to establish a rat model of uterine scars. Hematoxylin and eosin (H&E) staining was applied to observe the tissue structure. Masson trichrome staining was used to reveal collagen deposition. Angiogenesis factors (FGF-2, VEGFA, and PDGFB) were detected via western blotting. The fate of transplanted hUC-MSCs was assessed using in vivo fluorescence imaging. The differential expression of microRNA and function prediction was detected using high-throughput sequencing.
Results
hUC-MSCs significantly improved the morphology of the tissue structure and alleviated fibrosis in general on days 15, 30, and 60 of transplantation in the hUC-MSC groups. Moreover, the expressions of all three angiogenesis factors were increased at days 15 and 30 post-transplantation. In GFP analyses, although hUC-MSCs were observed on the uterine wall at days 15 and 30, those signals gradually weakened and then accumulated in other organs at day 60. In addition, abundant hUC-MSC-specific microRNAs targeted the cell pathways of angiogenesis and the PI3K/AKT signaling pathway.
Conclusion
hUC-MSC transplantation contributed to the repair of uterine scars, mainly through the suppression of excessive fibrosis and the enhancement of vascular remodeling.