bluuebunny/crossref_metadata_2025 huggingface dataset:
Computer Vision Used to Monitor The Youth during The Pandemic Covid-19
Authors: Afni Salsyabila Vidia Nur , Esi Putri Silmina  , Irwanda Budi Pangestu
Published: August 2021

Computer Vision is a field that studies methods for capturing numerical or symbolic information. Some of the computer vision processes are image capture, image enhancement, segmentation, feature extraction, and clarification. AI-based Computer Vision technology allows the public to carry out more optimal surveillance to deal with Covid-19. During the Covid-19 pandemic, many people have adopted new normal habits by implementing health protocols. But not a few of our people do not understand the importance of implementing health protocols. Where after this year's Eid homecoming, not a few of our people have made trips to their hometown villages. In this case, there is already a prohibition from the Government not to make the Eid homecoming trip. These communities can be at risk of transmitting the Covid-19 virus to their families in their hometowns. This study describes how Computer Vision works in helping the community to monitor travelers from the city to minimize the spread of Covid-19. The paper wa presented using the literature review method. From the description result using the literature review, it has result that computer vision technology has enormous potential in spreading countermeasures Covid-19.
Design of School Information System Using Waterfall Method (Case study: MTsN 8 Bantul)
Authors: Adhella Rovalia , Firdonsyah Arizona
Published: August 2021

The development of technology is now getting wider and starting to spread in various fields, one of the areas affected by the development of technology is education. This development has the intention of streamlining existing activities. The design of the school information system at MTsN 8 Bantul is to facilitate activities in data processing at the school. Using the waterfall method is expected to make it easier in this research, as well as telling, analyzing, and classifying problems as a supporting method. The result of this research is a school information system design.
Personnel Information System Using Microsoft Excel (Case Study: Bima City Health Office)
Authors: Wulan Ramdhani  , Arizona Firdonsyah
Published: August 2021

Information system is a system that has the ability to collect information from all sources and use various media to display information.  Microsoft Excel is a spreasheet application program (electronic worksheet), the function of Microsoft Excel is to perform calculation operations and can present data in table form, while the filter and sort data functions are used to sort or filter data, for example: the ascending function and descending to sort data from the largest or from the smallest, the Sort By and Sort On features, in addition to the filter function to display data with certain criteria, the filter feature function or often referred to as autofilter, which functions to display certain rows of data according to filters already applied and hides the rest of the remaining rows of data. This study aims to facilitate the search for staffing data at the Health Office of the City of Bima, the method of data collection using 2 methods, namely literature study and observation, the results of research that have been conducted are that there is no personnel information system because the process of searching and recording personnel data is still done manually.
Expert System For Diagnosing Diseases In Children Under Five Uses Certainty Factor Based Websites
Authors: Ramadhanti Faiqotul Himma , Eviyanti Ade
Published: August 2021

Immunity in children under five is not as good and perfect as adult immunity. Therefore, children under five are susceptible to disease and easily contracted by adults. Lack of knowledge about the symptoms of a disease that attacks children under five can aggravate the situation and result in delays in treatment by medical personnel. Therefore, this expert system is made to make it easier for parents to recognize the symptoms of diseases that attack their toddlers. With this expert system, parents can find out the early symptoms of the disease that attacks their child. In making this expert system using a certainty factor method or a method that defines the measure of certainty of facts or rules to describe an expert's belief in the problem at hand. This expert system will diagnose the symptoms that the patient has previously selected. Then from the choice of these symptoms will be obtained using the value of expert confidence that has been stored in the knowledge. The results of this study were to build an expert system for diagnosing diseases in children under five using a certainty factor method based on a website. With this website, we can take advantage of today's technology to diagnose diseases in children under five. This website can make it easier for parents to consult because they can use it anywhere, effectively and quickly.
Power Characteristics Analysis of Maximum Power Point Tracking (MPPT) and Pulse Width Modulation (PWM)
Authors: Ramadhana Chofananda Ilham , Jamaaluddin Jamaaluddin , Wisaksono Arief , Anshory Izza
Published: August 2021

Solar energy is a source of energy and has advantages compared to fossil energy. Indeed, further research and development of this type of solar power is needed, including at the University of Muhammadiyah Sidoarjo. The use of solar energy is carried out by installing photovoltaic (PV) cells with a photovoltaic output control system that uses MPPT (Maximum Power Point Tracking) and PWM (Pulse Width Modulation) to regulate the load used and charge the battery. The two PV control methods have different characteristics. These differences will be analyzed based on the characteristics of the load and sunlight contained in the electrical engineering laboratory of the Muhammadiyah University of Sidoarjo. It can be seen from the results of the analysis that at power above 200 W, MPPT has a better voltage stability than PWM.
Application of Data Mining with Classification Methods for Promotion of New Student Admissions at Muhammadiyah University of Sidoarjo Using Web-Based Naïve Bayes Algorithm
Authors: Vianti Widyasari  , Arief Senja Fitrani
Published: August 2021

The University of Muhammadiyah Sidoarjo (UMSIDA) is one of Indonesia's superior and innovative private colleges in developing IPTEKS based on Islamic values for community welfare. UMSIDA that has stood long enough with the number of students received in each year is quite a lot. Each new school year opening, this private college regularly organizes new student admissions (PMB) activities. Admission for new students (PMB) at UMSIDA can be done at pmb.umsida.ac.id. Therefore, research aims to create data mining applications classification method with the algorithm Naïve Bayes. This research uses the classification method used to Megukur accuracy level. To predict the promotion of new students receiving Muhammadiyah Sidoarjo University (UMSIDA) can be done using the Naïve Bayes algorithm with 7 predefined variables. Offline and online predictor of the dataset of 2601 data is divided into 2 as many as 70% of 2000 Training data and as much as 30% from 601 of Testing data.
Implementation of Autonomous Maintenance in Total Productive Maintenance
Authors: Guritno Juli , Sidhi Cahyana Atikha
Published: August 2021

The purpose of this research is to increase the Avaibility rate, Performance rate and OEE value on pipe extruder line 9 at PT. Wahana Tunas Utama Rucika which is engaged in manufacturing PVC pipe products (Poly Vinyl Clhoride). In order to increase productivity, Total Productive Maintenance (TPM) is measured by calculating OEE. The method used in solving this problem the 8 pillars of TPM with the Autonomous Maintenance (AM) method. The implementation of the TPM pillar aims to increase the knowledge, responsibility and skills of production operators related to machines, so that overall productivity will increase. AM uses a structured and documented system so that this program can run consistently. The results of the implementation of the proposed improvements showed that the Availability rate had to increase by 3.61%, the Performance rate had to increase by 3.41% and OEE had to increase by 3.25% after the proposed improvements 6 months.
Furniture Sales Application with Android-Based Qr Code Technology (Case Study "99" Furniture Store)
Authors: Muhammad Dzikri Ramadhan  , Mohammad Suryawinata
Published: August 2021

The growth of the furniture industry relies heavily on good marketing activities. In this digital and online era can be utilized in terms of marketing in the furniture industry. Toko 99 Mebel is one of the furniture stores that still use conventional transaction and order recording. So product marketing is less innovative and efficient. The purpose of this research was to build an android-based furniture sales application that added a QR Code scan feature that can be a new innovation in 99 furniture stores in marketing products. QR Code serves as a feature to display a description of the product to be ordered quickly. The method used is waterfall, useful to reduce errors in building applications. Testing in this application using the Black Box method, this test method is very important to test the fungisonality of the application as opposed to internal structure or work. With waterfall method and Black Box testing method in application development can be arranged well and appropriately. As well as being able to participate in the sale of 99 Furniture Stores, because it will further facilitate the process of selling furniture online via android smartphone so that it is expected to increase customer interest to buy furniture in 99 Furniture Stores.
Totaliproductive Maintenance (Tpm) Analysis Using the Overall Equipment Effectiveness (Oee) Method and Six Big Losses on an Injection Molding Machine
Authors: Ridloi Mokhamad , Jakaria Ribangun Bamban
Published: August 2021

. PT.  XYZ is a manufacturing companyjthat produces a variety of materials from plastics, this company cangnot be separated from problems relatedhto the effectiveness of machinery / equipment. The problem that is experienced today is that there is a lot of damage to the injection moulding machine that has decreased speed as a result of the damage to the number of defect parts because the machine often experiences breakdown. Data collection is conducted with structured observations and interviews. To solve the problem that occurs, done a machine maintenance or maintenance by means of measurement using the method of Total Productive Maintenance which includes Overall Equipment Effectiveness and Six Big Losses. This study aims to determine the level of equipment total production process, to determine the factors causing the valuenof overall equipment Efectivenees (OEE) low and identify losses that occur with the standard value of
Video Conference Service Quality Analysis on 802.11g Wlan Network Jaringan Using Quality Of Service (Qos). (Case Study: Zoom App)
Authors: Nuris Sani EL Rama Janistimewa , Suryawinata Mohammad
Published: August 2021

Video Conference is an interactive telecommunication technology or system utilizing the internet network so that it is able to interact with audio video with two or more people without considering the distance or different locations, but video conference requires a stable internet network in accordance with the parameters set by Telecommunications and Internet Protocol Harmonization Over Networks (TIPHON) and to determine the quality of video conference can use Quality of Service (QoS). The purpose of this study is to determine delay, throughput, jitter, and packet loss and if someone is doing video conference services on the network, their use can be further enhanced through QoS than other users who only do ordinary internet services (browsing, chatting, etc.) on the network the same network. Here the author uses the Quality of Service (QoS) method as a regulator of internet bandwidth to maximize the use of video conferencing services so that they can run stably when the flow of internet traffic is quite dense. The results of this study are based on the standard TIPHON calculation using the QoS method in testing more or less affect the quality of the video conference service with the evidence in the packet loss recorded at the time of upload and download, mostly touching the 0% figure compared to without using QoS. That way using the help of the QoS method can increase the level of quality and effectiveness in conducting video conference services.
Application of Augmented Reality for Gypsum Marketing Using Vuforia, Sketchup and Unity 3D
Authors: Ifaldi Danang Septiawan  , Cindy Taurusta
Published: August 2021

The development of technology and information is currently progressing very rapidly, marked by advances in the field of information and technology. One of the most popular technologies today is gadgets. This is revealed by research conducted by Strategy Analytics. The author took the initiative to create an android-based augmented reality technology that is useful for marketing a gypsum product. The method used by researchers is quantitative. The results that have been achieved from this research are adding insight into the latest technology and promotional media.
Android-Based Remote Control Solar Power Plant Panels with Direct Current System Installation
Authors: Afandi Yusril , Jamaaluddin Jamaaluddin
Published: August 2021

Energy hot sun very overflow especially in area with climate tropical as indonesia that always exposed rays throughout years. This is a source energy that could on  developed. on research aimed at to make it easier and knowing damage panel generator electric power sun more early so that soon get to do troubleshooting early before damage continue with use microcontroller NodeMCU right has been IOT designed component additional sensor INA219 gauge current, voltage, lux intensity light is snown software application BLYNK in smartphone. the results research is toll monitoring read high low battery and lamp. In the result measurement this will is snown menu application BLYNK that has been designed.
IgG4 Related Disease of The Larynx Mimicking Malignancy: A Case Report and Review of the Literature
Authors: Akyol Sevda , Saraydaroglu Ozlem , Ozmen Omer Afsin
Published: August 2021

Objectives: Immunoglobulin G4–related disease is characterized by increased serum IgG4 level, enlargement in the relevant organs and histopathologically intense storiform fibrosis, lymphoplasmacytic infiltration rich in IgG4 positive plasma cells, and obliterative phlebitis.Methods and Results: In this report, a patient who underwent a laryngeal biopsy with a pre-diagnosis of malignancy, but had findings consistent with immunoglobulin G4–related disease in the biopsy sample, is described.Conclusion: Immunoglobulin G4–related disease can be seen in very rare localizations. It should be kept in mind in differential diagnosis when tissues especially containing inflammation rich in plasma cells are encountered. Clinical, laboratory and pathological correlation is extremely important in the diagnosis of an IgG4-related disease.
Mothers cafeteria diet induced sex-specific changes in fat content, metabolic profiles, and inflammation outcomes in rats offspring
Authors: Matuszewska Julia , Zalewski Tomasz , Klimaszyk Adam , Ziarniak Kamil , Jurga Stefan , Chmurzynska Agata , Sliwowska Joanna H.
Published: August 2021

“Western diet” containing high concentrations of sugar and fat consumed during pregnancy contributing to development of obesity and diabetes type 2 in offspring. To mimic effects of this diet, in animals cafeteria (CAF) diet is used. We hypothesis that CAF diet given to rats before, during pregnancy and lactation differently influence fat content, metabolic and inflammation profiles in offspring. Female were exposed to CAF or control diets before pregnancy, during pregnancy and lactation. At postnatal day 25 (PND 25) body composition, fat contents were measured, blood was collected for assessment of metabolic and inflammation profiles. We have found that CAF diet leaded to sex-specific alterations in offspring. At PND25, CAF offspring had: 1) higher percentage of fat content and were lighter; 2) sex-specific differences in levels of glucose; 3) higher levels of interleukins 6 (IL-6), interleukin-10 (IL-10) and tumor necrosis factor (TNF-α); 4) sex-specific differences in concentration of IL-6 and TNF-α, with increase in CAF females; 5) higher level of IL-10 in both sex, with bigger increase in females. We concluded that maternal CAF diet affects fat content, metabolic profiles, and inflammation parameters in offspring. Above effects are sex-specific, with female offspring being more susceptible to the diet.
Genome-wide Profiling of Long Non-coding RNA of the Rice Blast Fungus Magnaporthe oryzae During Infection
Authors: Choi Gobong , Jeon Jongbum , Lee Hyunjun , Zhou Shenxian , Lee Yong-Hwan
Published: August 2021

BackgroundLong non-coding RNAs (lncRNAs) play essential roles in developmental processes and disease development at the transcriptional and post-transcriptional levels across diverse taxa. However, only few studies have profiled fungal lncRNAs in a genome-wide manner during host infection.ResultsInfection-associated lncRNAs were identified using lncRNA profiling over six stages of host infection (e.g., vegetative growth, pre-penetration, biotrophic, and necrotrophic stages) in the model pathogenic fungus, Magnaporthe oryzae. We identified 2,601 novel lncRNAs, including 1,286 antisense lncRNAs and 980 intergenic lncRNAs. Among the identified lncRNAs, 755 were expressed in a stage-specific manner and 560 were infection-specifically expressed lncRNAs (ISELs). To decipher the potential roles of lncRNAs during infection, we identified 365 protein-coding genes that were associated with 214 ISELs. Analysis of the predicted functions of these associated genes suggested that lncRNAs regulate pathogenesis-related genes, including xylanases and effectors.ConclusionsThe ISELs and their associated genes provide a comprehensive view of lncRNAs during fungal pathogen-plant interactions. This study expands new insights into the role of lncRNAs in the rice blast fungus, as well as other plant pathogenic fungi.
Surface biofunctionalization with liquid-phase plasma treatment of collagen molecules
Authors: Tanaka Shiori , Kanemura Shingo , Okumura Masaki , Iwaikawa Kazuyuki , Funamoto Kenichi , Miyaji Godai , Muraoka Takahiro , Misawa Kazuhiko , Yoshino Daisuke
Published: August 2021

Surface functionalization is a key process in rendering various materials biocompatible. Whereas a number of techniques and technologies have been developed for the purpose of biofunctionalization, plasma treatment enables highly efficient surface modification. Extending plasma treatment to biomolecules in the liquid phase will control biofunctionalization via a simple process. However, interactions between plasma discharge and biomolecules or solvents are poorly understood, potentially leading to the technical limitation as to the utility of plasma treatment. In this study, we developed a technology for substrate biofunctionalization that does not require surface modification but involves direct treatment of a collagen molecules with liquid-phase plasma discharge. Biofunctionalization of collagen by plasma treatment comprises three processes that increase its reactivity with hydrophobic substrates: (1) charge-dependent changes in surface and interfacial properties of the collagen solution; (2) local conformational changes of the collagen molecules without their global structural alterations; and (3) induction of a micelle-like association formed by collagen molecules. We anticipate such plasma-induced functionalization of protein molecules to provide a versatile technique in the applications of biomaterials, including those related to pharmaceuticals and cosmetics.
Keyhole fluctuation and pore formation mechanisms during laser powder bed fusion additive manufacturing
Authors: Huang Yuze , Fleming Tristan , Clark Samuel , Marussi Sebastian , Kamel Fezzaa , Thiyagalingam Jeyan , Leung Chu Lun Alex , Lee Peter
Published: August 2021

Keyhole porosity is a key concern in laser powder-bed fusion (LPBF), potentially impacting component fatigue life. However, the dynamics of keyhole porosity formation, i.e., keyhole fluctuation, collapse and bubble growth and shrinkage, remain unclear. Using synchrotron X-ray imaging we reveal keyhole and bubble behaviours, quantifying their formation mechanisms. The findings support the hypotheses that: (i) keyhole porosity can initiate not only in unstable, but also transition keyhole regimes, created by high laser power-velocity conditions, causing fast radial keyhole fluctuations (~ 10 kHz); (ii) transition regime collapse tends to occur part way up the rear-wall; and (iii) immediately after keyhole collapse, the bubble grows as pressure equilibrates then shrinks due to metal-vapour condensation. Concurrent with condensation, hydrogen diffusion into the bubble slows the shrinkage and stabilises the bubble size. The physics revealed here can guide the development of real-time monitoring and control systems for keyhole porosity.
Comparative Study of Symmetrical And Asymmetrical B40 Molecular Junctions
Authors: Kaur Harleen , Kaur Jupinder , Kumar Ravinder , Vohra Rajan
Published: August 2021

The quantum transport in symmetric and asymmetric borospherne based molecular junction with adenine has been probed. Adenine is a nucleobase of DNA among the four nucleobases of DNA, adenine is selected because of its excellent transport properties. The DFT-NEGF mathematical approach has been utilized. This was further used to calculate quantum transport parameters such as the I-V curve, transmission spectra, highest occupied molecular orbital (HOMO)- lowest occupied molecular orbital (LUMO) gap (HLG), differential conductance, and transmission pathways. From our research work we have noticed that both symmetric and asymmetric devices exhibit non-linear behavior thus leading to non-differential resistance (NDR). Alos symmetric B40 molecular device has reduced HLG in contrast to asymmetric B40 molecular device. This drop-in HLG is due to a reduction in electron density. A high rectification ratio for the devices is observed at 0.2V. Hence symmetric and asymmetric B40 molecular junction is the potential candidates that can be utilized in future nano-scale devices.
Bioreduction and Bioremoval of Hexavalent Chromium by Genetically Engineered Strains (Escherichia Coli MT2A and Escherichia Coli MT3)
Authors: Akkurt Şeyma , Oğuz Merve , Uçkun Aysel Alkan
Published: August 2021

Studies on the removal of toxic metals from water by genetic engineering applications are becoming more and more diverse. Especially by the expression of cysteine and thiol rich proteins such as metallothioneins in bacterial cells, a high rate of removal of metal ions from the environment is ensured. In this study, we evaluated the removal and reduction of hexavalent chromium Cr(VI)from aqueous solutions with the recombinant strains obtained by cloning the human metallothioneinsMT2A and MT3 into Escherichia coli Jm109.E. coli MT2A was the most effective strain in both Cr(VI) removal (89%in 25 mg/L Cr(VI) application) and Cr(VI) reduction (76%in 25 mg/L Cr(VI) application).Cr(VI) adsorbed per dry cell (at 25 mg/L) were 17 mg/g, 22 mg/g and 19 mg/g for Jm109, MT2A and MT3, respectively. Scanning electron microscope (SEM) images showed that the morphological structures of Cr(VI)treated cells were significantly damaged compared to control cells. Scanning transmission electron microscope (STEM) images showed black spots in the cytoplasm of cells treated with Cr(VI).From the shifts in the Fourier transform infrared spectroscopy analysis (FTIR) spectra of the cells treated with Cr(VI) compared to the control cells, it was determined that the groups interacting with Cr were amino, hydroxyl, methyl and sulfhydryl. When all these experimental data were evaluated together, it was concluded that all three species were effective in removing Cr(VI) from aqueous solutions and MT2A strain could be used as the most effective biotechnological tool.
Global Progress Towards Sustainable Forest Management – Bright Spots and Challenges
Authors: Shono Kenichi
Published: August 2021

Sustainable forest management is an imperative response to continuing deforestation and forest degradation, and the associated decline in forest productivity and supply of ecosystem services. This paper analyses progress towards sustainable forest management globally as well as by climatic domains and national income levels using data from the Global Forest Resources Assessment 2020. It also examines progress towards sustainable forest management relate to the presence of enabling factors. The findings reveal global expansion of sustainable forest management supported by the widespread presence of enabling framework as manifested in the slowing rate of forest loss in large deforesting countries, increase in forest area designated for conservation, and the rapid expansion of certified forest area. However, such progress has been uneven, and the rate of forest loss is accelerating in tropical low-income countries. In addition to inadequate forest governance in general, factors contributing to this deterioration include: low coverage of long-term forest management plans; high proportion of forests without designated management objectives; and unclear ownership of forests. To enhance the implementation of sustainable forest management in these priority geographies, this paper proposes conservation through sustainable use, including strengthening the role of well-managed production forests in maintaining forest cover and ecosystem services at the landscape level.
Mode of action of Elasnin as biofilm-formation eradicator of Methicillin-Resistant Staphylococcus aureus
Authors: Long Lexin , Sulaiman Jordy Evan , Xiao Yao , Cheng Aifang , WANG Ruojun , Malit Jessie , Wong Wai , Liu Wenchao , LI Yongxin , Chen Feng , Lam Henry , Qian Pei-Yuan
Published: August 2021

Biofilm is made by microbes and often offers protection by making them more tolerant, resistant, and resilient to wide-range antimicrobials. Biofilm-related infections account for more than 80% of human bacterial infections and are especially prevalent in chronic tissue and device-related infections. Owing to the great challenge in treating biofilms, novel and effective antibiofilm compounds urgently need to be identified. We herein identified elasnin as a potent biofilm-targeting compound against methicillin-resistant Staphylococcus aureus (MRSA) through bioassay-guided isolation of bioactive compounds from Actinobacteria. Elasnin effectively inhibited biofilm formation and eradicated pre-formed biofilms of MRSA, and it displays low cytotoxicity with a low risk of resistance development. Transcriptomic and proteomic analyses combined with confocal microscopy observation revealed that elasnin destroyed the biofilm matrix in a time-dependent manner and interfered with cell cycle during the exponential phase, primarily by repressing the expression of virulence factors. Moreover, the biofilm cells released from elasnin treatment showed increased sensitivity to penicillin G. Overall, this study identified elasnin as a promising biofilm-eradicating compound against MRSA and shed light on its action mechanism.
Evaluation of a Residential Project in Light Steel Framing According to LEED for Homes
Authors: Morselli Luiza , Knop Stífany , Faria Osvaldo Luis Vieira , andreazza robson
Published: August 2021

The construction industry is responsible for high energy consumption, high carbon dioxide emissions, high extraction of non-renewable materials, and large generation of solid waste in the world.The use of prefabricated, industrialized, and technological construction methods can reduce environmental impacts.This research aimed to analyze a single-family residential project in the construction system in Light Steel Framing (LSF), to be implemented in southern Brazil, regarding the prerequisites and credits of the environmental certification Leadership in Energy and Environmental Design (LEED) for Homes of the Green Building Council (GBC) Brazil Homes.For this, it was necessary to apply the Technical Quality Regulation for the Energy Efficiency Level for Homes, achieving the A-level classification in this analysis, with 5.06 final points.Therefore, it was considered the constitution of the building wrap in LSF, the energy efficiency of the materials used, the water heating and lighting systems. The external sealing system used in the residence was the External Insulated Finish System, and the acoustic and thermal insulation occurred through the use of glass wool on the walls and lining. In order to obtain the highest level of LEED certification, the project has received suggestions for improvements. The project obtained 60 final points in the analysis, which would allow the achievement of the gold certification seal.
Exploring Chitosan-Shelled Nanobubbles to Improve HER2+ Immunotherapy Through Dendritic Cells Targeting
Authors: Argenziano Monica , Occhipinti Sergio , Scomparin Anna , Angelini Costanza , Novelli Francesco , Soster Marco , Giovarelli Mirella , Cavalli Roberta
Published: August 2021

Immunotherapy is a valuable approach for the treatment of cancer. Nanotechnology-based delivery systems emerged as a powerful tool for improving immunotherapeutics. Therefore, their association have been proposed to overcome some biopharmaceutical limitations of immunotherapy. This work aims at designing a novel immunotherapeutic nanoplatform for the treatment of HER2+ breast cancer. Here, purposely-tailored chitosan-shelled nanobubbles (NBs) were developed for the loading of DNA vaccine. The NBs were then functionalized with anti-CD1a antibody to target dendritic cells (DCs). The NB formulations showed sizes of about 300 nm and a good physical stability up to 6 months stored at 4 °C. The in vitro characterization confirmed that these NBs were able to load DNA with a good encapsulation efficiency (82%). The antiCD1a-functionalized NBs targeted to DCs demonstrated the capability to induce activation of DCs both in human and mouse models, and elicit a specific immune response able to delay tumor growth in vivo in mice. The results are the proof of concept that DC-targeted chitosan nanobubbles loaded with tumor vaccine may provide an attractive nanotechnology approach for the future immunotherapeutic treatment of cancer.
Frequency and Anatomic Variability of the Mandibular Lingual Foramina: A Cone-Beam CT Study
Authors: Taschieri Silvio , Corbella Stefano , Silnovic Amel , Francetti Luca , Messina Carmelo , Sconfienza Luca Maria , Albano Domenico
Published: August 2021

Background
to evaluate the distribution of lingual foramina (LF) and their correlation with demographic characteristics and mandible width in a series of patients subjected to cone-beam CT (CBCT).
Methods
CBCTs were reviewed to assess the number of all LF, midline and lateral LF. We also assessed the relationship of the number of lateral LF with gender and mandibular width using the Chi Square test. A p value < 0.05 was considered statistically significant.
Results
300 patients (180 males; age range: 21-87years) were included. The highest frequency per patient was of 2 LF (97/300, 32.3%), followed by 3 (81/300, 27%) and 4 (53/300, 17.7%). No LF were observed in 2/300 patients (0.7%), while the highest number was of 8 LF in one patient. The highest frequency of midline LF per person was of 2 LF (57.3%, 172/300), while the highest number per person was 5 LF in one patient (0.3%). The highest frequency of midline LF located above and below the genial tubercle was of 1 in 197/300 patients (65.7%) and in 169/300 patients (56.3%), respectively. Concerning lateral LF, the highest frequencies were of 0 (113/300, 37.7%) and of 1 (112/300, 37.3%). We did not observe any significant difference of the number of midline and lateral LF based on gender (P = .438 and P = .195, respectively) or mandible width (P = .069 and P = .114, respectively).
Conclusions
We have shown the high variability of number and anatomic distribution of LF in an Italian group of patients subjected to CBCT without reporting any association with gender and mandible width.
A Stepwise-Targeting Strategy For The Treatment of Cerebral Ischemic Stroke
Authors: Hu Jing-Bo , Tan Xueying , Wang Dongwei , Liang Hongze , Peng Jiejun , Li Fengyan , Zhou Quan , Geng Peiwu , Wang Shuanghu , Yu Yue , Liu Jin
Published: August 2021

Background: Effective amelioration of neuronal damages in the case of cerebral ischemic stroke (CIS) is essential for the protection of brain tissues and their functional recovery. However, most drugs can not penetrate the blood-brain barrier (BBB), resulting in the poor therapeutic outcomes. Results: In this study, the derivatization and dual targeted delivery technologies were used to actively transport antioxidant melatonin (MLT) into the mitochondria of oxidative stress-damaged cells in brain tissues. A mitochondrial targeting molecule triphenylphosphine (TPP) was conjugated to melatonin (TPP-MLT) to increase the distribution of melatonin in intracellular mitochondria with the push of mitochondrial transmembrane potential. Then, TPP-MLT was encapsulated in dual targeted micelles mediated by TGN peptide (TGNYKALHPHNG) with high affinity for BBB and SHp peptide (CLEVSRKNG) for the glutamate receptor of oxidative stress-damaged neural cells.TGN/SHp/TPP-MLT micelles could effectively scavenge the overproduced ROS to protect neuronal cells from oxidative stress injury during CIS occurrence, as reflected by the improved infarct volume and neurological deficit in CIS model animals.Conclusions: These promising results showed this stepwise-targeting drug-loaded micelles potentially represent a significant advancement in the precise treatment of CIS.
Clinicians’ Perspective On Oligometastatic Disease: A National Survey.
Authors: Felter Mette , Josipovic Mirjana , Serup_Hansen Eva , Geertsen Poul , Behrens Claus , Khalil Azza Ahmed , Persson Gitte Fredberg
Published: August 2021

Background:A clear definition of oligometastatic disease (OMD) does not exist. The number of metastases is the most used parameter to select patients for ablative treatments. We conducted a nationwide survey to assess the clinically working physician’s perception and definition of the OMD concept.Material and methods: An 18-items questionnaire was prepared using an online survey tool and sent to 461 physicians working at nine different oncology centres. Both clinical- and medical oncologists were invited, specialists as well as trainees.Results: A total of 102 physicians from seven different centres completed the survey (response rate 22%). The majority (93%) of responders expected cure or long-term survival could be achieved with an ablative strategy for selected patients with OMD. Up to three metastases (43% of responders) in up to two organs (44% of responders) was the preferred threshold the responders were willing to treat when applying an ablative strategy for patients with OMD. Only 7% were willing to treat up to five metastases. There was no apparent disagreement between responders engaged/not engaged in RT planning. Among cancer types, patients with colorectal-, breast-, lung-, prostate-, and kidney cancer were considered most suitable for an ablative treatment strategy. Conclusions:Most responders expected that an ablative treatment strategy could be beneficial in selected patients with OMD. In general, there was agreement on the selection criteria for OMD regarding the number of metastases, number of organs, anatomical sites and cancer types.
Hyperaminoacidemia induces pancreatic α cell proliferation via synergism between mTORC1 and CaSR-Gq signaling pathways
Authors: Gong Yulong , Zhang Ding-Dong , Tang Zihan , Coate Katie , Siv Walter , Yin Linlin , Covington Brittney , Patel Ravi , Yang Bingyuan , Yang Liu , Dean Danielle , Powers Alvin , Chen Wenbiao
Published: August 2021

Glucagon has emerged as the main regulator of extracellular amino acid homeostasis. Insufficient glucagon signaling results in hyperaminoacidemia, which drives adaptive proliferation of glucagon-producing α cells. Aside from mammalian target of rapamycin complex 1 (mTORC1), the role of other amino acid sensors in the α cell proliferation has not been described. Here, using gcgr-deficient zebrafish and cultured mouse islets, we show that α cell proliferation requires the calcium sensing receptor (CaSR) and downstream extracellular signalregulated protein kinase (ERK1/2). Inactivation of casr dampened α cell proliferation, which can be rescued by re-expression of CaSR or activation of the downstream Gq, but not Gi, signaling in α cells. CaSR was also unexpectedly necessary for mTORC1 activation in α cells. Furthermore, co-activation of Gq and mTORC1 induced α cell proliferation independent of hyperaminoacidemia. These results reveal another amino acid sensitive mediator, and identify major pathways necessary and sufficient for hyperaminoacidemia-induced α cell proliferation.
Resting-State Functional Connectivity of Salience Network in Schizophrenia and Depression
Authors: Huang Huan , Chen Cheng , Rong Bei , Wan Qirong , Chen Jingang , Liu Zhongchun , Zhou Yuan , Wang Gaohua , Wang Huiling
Published: August 2021

To explore the salience network(SN) functional alterations in schizophrenia and depression, resting-state functional magnetic resonance imaging (rs-fMRI) data from 29 patients with schizophrenia (SCH), 28 patients with depression (DEP) and 30 healthy controls(HC) were obtained. The SN was derived from data-driven group independent component analysis (gICA). ANCOVA and post hoc tests were performed to discover the FC differences of SN between groups. The ANCOVA demonstrated a significant group effect in FC with right inferior and middle temporal gyrus (ITG and MTG), left caudate, and right precentral gyrus. Post-hoc analyses revealed an opposite altered FC pattern between SN and right ITG and MTG for both patient groups. The DEP group showed a reduced FC between SN and right ITG and MTG compared with HC whereas the SCH group showed an increased FC. In addition, the SCH group showed decreased FC between SN and left caudate, and enhanced FC between SN and right precentral gyrus compared to the other two groups. Our findings suggest distinct FC of SN in schizophrenia and depression, supporting that the resting-state FC pattern of SN may be a transdiagnostic difference between depression and schizophrenia and may play a critical role in the pathogenesis of these two disorders.
Early mortality in elderly patients with isolated C2 odontoid fracture treated by halo-vest immobilization, anterior spinal fixation, or posterior spinal fixation: A generalized propensity score-based analysis using a nationwide database
Authors: Honda Akira , Iizuka Yoichi , Michihata Nobuaki , Morita Kojiro , Mieda Tokue , Takasawa Eiji , Ishiwata Sho , Kakuta Yohei , Tomomatsu Yusuke , Ito Shunsuke , Inomata Kazuhiro , Matsui Hiroki , Fushimi Kiyohide , Yasunaga Hideo , Chikuda Hirotaka
Published: August 2021

Purpose
To compare in-hospital mortality of three procedures in the treatment of elderly patients with isolated C2 odontoid fracture: halo-vest immobilization, anterior spinal fixation (ASF), and posterior spinal fixation (PSF).
Methods
We extracted data for elderly patients who were admitted with C2 odontoid fracture and treated with at least one of the three procedures (halo-vest immobilization, ASF, or PSF) during hospitalization. We conducted a generalized propensity score-based matching weight analysis to compare in-hospital mortality among the three procedures. We further investigated independent risk factors for in-hospital death.
Results
The study involved 891 patients (halo-vest, n = 463; ASF, n = 74; and PSF, n = 354) with a mean age of 78 years. In-hospital death occurred in 45 (5.1%) patients. Treatment type was not significantly associated with in-hospital mortality. Male sex (odds ratio, 2.98; 95% confidence interval, 1.32–6.73; p = 0.009) and a Charlson comorbidity index of ≥ 3 (odds ratio, 9.18; 95% confidence interval, 3.25–25.92; p < 0.001) were independent risk factors for in-hospital mortality.
Conclusions
Treatment type (halo-vest immobilization, ASF, or PSF) was not significantly associated with in-hospital mortality in elderly patients with isolated C2 odontoid fracture. Halo-vest immobilization can help to avoid adverse events in patients with C2 odontoid fracture who are considered less suitable for surgical treatment.
Ketamine Supplementation To Bupivacaine For Knee Arthroscopy: A Meta-Analysis of Randomized Controlled Trials
Authors: Li Chunhong , Xiao Zhibo , Chen Liuli , Pan Songli
Published: August 2021

Introduction: The efficacy of ketamine supplementation to bupivacaine for pain management of knee arthroscopy remains controversial. We conduct a systematic review and meta-analysis to explore the influence of ketamine supplementation to bupivacaine on the postoperative pain intensity of knee arthroscopy.Methods: We have searched PubMed, EMbase, Web of science, EBSCO, and Cochrane library databases through July 2021 for randomized controlled trials (RCTs) assessing the effect of ketamine supplementation to bupivacaine on pain control of knee arthroscopy. This meta-analysis is performed using the random-effect model.Results: Four RCTs are included in the meta-analysis. Overall, compared with control group for knee arthroscopy, ketamine supplementation remarkably decreases pain scores at 30 min (SMD=-0.98; 95% CI=-1.42 to -0.55; P<0.00001) and number of additional analgesics (OR=0.27; 95% CI=0.10 to 0.71; P=0.008), but reveals no significant impact on pain scores at 1 h (SMD=-1.34; 95% CI=-3.42 to 0.73; P=0.20), pain scores at 6 h (SMD=-0.33; 95% CI=-1.39 to 0.72; P=0.53), time of first analgesic requirement (SMD=1.27; 95% CI=-0.95 to 3.49; P=0.26) or additional analgesic consumption (SMD=-2.25; 95% CI=-5.89 to 1.40; P=0.23). Conclusions: Ketamine supplementation may improve the pain control when in combination with bupivacaine for knee arthroscopy.
Crystal structure prediction by combining graph network and Bayesian optimization
Authors: Cheng Guanjian , Gong Xin-Gao , Yin Wan-Jian
Published: August 2021

We developed a density functional theory (DFT)-free approach for crystal structure prediction, in which a graph network (GN) is adopted to establish a correlation model between the crystal structure and formation enthalpies, and Bayesian optimization (BO) is used to accelerate the search for crystal structure with optimal formation enthalpy. The approach of combining GN and BO for crystal structure searching (GN-BOSS) can predict crystal structures at given chemical compositions with and without additional constraints on cell shapes and lattice symmetries. The applicability and efficiency of the GN-BOSS approach is then verified by solving the classical Ph-vV challenge. The approach can accurately predict the crystal structures with a computational cost that is three orders of magnitude less than that required for DFT-based approaches. The GN-BOSS approach may open new avenues for data-driven crystal structural predictions without using expensive DFT calculations.
Title: Predictive value of Erythrocyte Sedimentation Rate and C-Reactive Protein in Behcet's Disease Activity and Manifestations: A Cross-Sectional Study
Authors: Parsaei Amirhossein , Moradi Soroush , Masoumi Maryam , Davatchi Fereydoun , Najafi Anahita , Kooshki Ashkan Mohammadi , Hajighadery Abdolkarim , Akhlaghi Massoomeh , Faezi Tahereh , Kavosi Hoda
Published: August 2021

Background: Behcet’s disease (BD) as a chronic inflammatory condition that affects the eyes, skin, central nervous system, gastrointestinal tract and vessels. According to the literature, the exact value of C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) in predicting active manifestations of BD remains controversial. In this study, we aim to assess and compare values of ESR and CRP between BD patients with active/ inactive BD and active/inactive manifestations of the disease. Moreover, we try to determine the predictive value of ESR and CRP for disease activity.Methods: Participants (n=514) were drug-naïve BD patients; Based on last two visits, ESR and CRP values, disease activity, and active manifestations were recorded. The Man-Whitney U test measured the associations, and the binomial logistic regression evaluated the predictive value of ESR and CRP for active disease and each active manifestation. The sensitivity and specificity and the area under the curve (AUC) for each model were determined using receiver operating characteristic curves (ROC). Multiple regressions were run to predict BD activity score from ESR and CRP.Result: Patients with active ocular, oral, genital, joint and dermal manifestations had higher ESR and CRP values (Mann-Whitney U test, p< 0.05 for all). Binomial logistic regressions showed that ESR had valuable predictive value for active BD (OR =1.09[1.04-1.13] , AUC = 0.79[0.74-0.83], p<0.001) and active vascular manifestations (1.03[1.01-1.05], AUC = 0.85[0.79-0.92], p<0.001). CRP had good predictive value for active vascular manifestations (OR 1.98[1.45-2.72], AUC = 0.86[0.8-0.91], p<0.001,). The optimal value of ESR ≥ 10.5 and ESR ≥ 42.5 could predict active BD and active vascular manifestations with Sensitivity,Specificity = 71%,75% and =81%, 83% respectively.Conclusions: ESR and CRP are both associated with active BD and most manifestations of the diseases. They can be used for the prediction of active BD and active vascular manifestations in BD patients. Further studies can help to confirm the findings of the current research.
The Impact of Armed Conflict on Utilisation of Health Services in North-West Syria: An Observational Study
Authors: Ekzayez Abdulkarim , Ahmad Yasser Alhaj , Alhaleb Hasan , Checchi Francesco
Published: August 2021

BackgroundArmed conflicts are known to have detrimental impact on availability and accessibility of health services. Consequently, utilisation of healthcare is usually affected. However, little is known on the extent of these effects largely due to challenges facing research in such settings. This study examines whether exposure to war incidents affected utilisation of key health services in conflict affected areas of north west Syria between 1 October 2014 and 30 June 2017.MethodsThe study is an observational study using routinely collected data in 8 health facilities in north west Syria and a database on conflict incidents. Longitudinal panel data analysis was used with fixed effect negative binomial regression for the monthly analysis and distributed lag model with a lag period of 30 days for the daily analysis.ResultsThe study found strong evidence for a negative association between bombardments and both consultations and antenatal care visits. The monthly Risk Ratio was 0.95 (95%CI: 0.94-0.97) and 0.95 (95%CI: 0.93-0.98) respectively; and the cumulative daily RR at 30 days was 0·19 (95%CI: 0·15 - 0·25) and 0·42 (95%CI: 0·25 - 0·69) for consultations and antenatal care respectively. Explosions were found to be associated with an increase in the number of deliveries and C-sections. The data provides evidence that each one unit increase in explosions in a given month in a given village was associated with about 20% increase in deliveries and C-sections; RR was 1·22 (95%CI: 1·05-1·42) and 1·96 (95%CI: 1·03-3·74) respectively.ConclusionThe study found that access to healthcare in affected areas in Syria has been limited. The study also provides evidence that conflict incidents were associated negatively with the utilisation of health services. Based on this evidence, health actors in conflict settings need to adopt strategies that ensure availability and accessibility of health services such as decentralisation and outreach health services.