bluuebunny/crossref_metadata_2025 huggingface dataset:
​Zero Budget Natural Farming for Sustainable Agriculture: A Review
Authors: Saxena C.K. , Kumar Mukesh , Singh R.K.
Published: June 2022

Making and maintaining the agriculture into a profitable business in the context of increasing population, food security and depleting natural resources is a very complex problem. Providing contamination free food with rich nutrition is an immediate and future challenge besides maintaining soil and environmental health. Ecosystem based Zero Budget Natural Farming (ZBNF) recommends the use of organic crop rotation, compost and green manure, organic pest control etc. as well as mechanized farming operations. The present article discusses the importance and practicality of ZBNF on the basis of available literature. Its benefits and consequences are far-reaching. Hence an attempt has been made to describe the ZBNF system, its utility and sustainability for Indian agricultural conditions. The four major components of ZBNF; such as Jivamrit, Achchhadan, Bijamrit and Vapasa etc are reported to be very cost-effective. In addition to the description of these, discussions on natural insecticidal measures, major benefits and challenges of ZNBF have also been included. The need has been felt for the necessary policy interventions in the absence of detailed published scientific research literature and hence, a few salient points have been discussed. This discussion will be a contribution in taking Indian agriculture a step forward.
Effect of Constant Rate Infusion of Different Anaesthetic Adjuvants Undergoing Thiopentone Sodium Total Intravenous Anaesthesia in Horses
Authors: Shivaraju S. , Gopinathan Aswathy , Singh Kiranjeet , Verma Med Ram
Published: June 2022

Background: Co-administration of anesthetic adjuvants as continuous rate infusion (CRI) can be controlled and hence is considered safer, as it can reduce the cardiopulmonary alterations in horses and is also adaptable in field conditions. Hence this study was planned to evaluate the effect of CRI of dexmedetomidine, ketamine, butorphanol and midazolam during thiopentone TIVA in horses. Methods: Thirty horses were randomly divided into five groups S, D, K, B and M having six animals in each. Premedication was done with Xylazine (1 mg/kg) and butorphanol (0.05 mg/kg) intravenously. Ketamine (2 mg/kg) and midazolam (0.2 mg/kg) were used IV for induction. CRI of normal saline alone, dexmedetomidine @ 2 µg/kg/hr., butorphanol @ 0.2 mg/kg/hr., midazolam @ 0.2 mg/kg/hr. and ketamine @ 2 mg/kg/hr. were administered in groups S, D, B, M and K, respectively. Thiopentone sodium (5%) was given as a fast intravenous bolus whenever required to provide adequate anesthesia. Depth of anesthesia was evaluated on the based on clinical, haemato-biochemical, hemodynamic and endocrine variables. Result: First head lift, sternal recumbency time, standing time and quality of recovery showed no significant difference between the groups. Heart rate, RR, RT, SBP, DBP, CVP and MAP, BUN, creatinine, ALT, AST, cortisol, ACTH and ghrelin did not show significant variation among groups. Hb, PCV, TLC, TEC and neutrophil found significantly decreased and blood glucose remained significantly higher than the baseline value in all groups post induction. CRI of ketamine produced a better quality of recovery and thiopentone sparing effect and was found suitable for moderating stress response to anesthesia, inflammation and metabolic changes in horses administered with TIVA.
Evaluation of Effect of the Different Stocking Densities on Growth Performance, Survival, Water Quality and Body Indices of Pearlspot (Etroplus suratensis) Fingerlings in Biofloc Technology
Authors: Ruby P. , Ahilan B. , Antony Cheryl , Manikandavelu D. , Selvaraj S. , Moses T.L.S. Samuel
Published: June 2022

Background: This experiment was conducted to evaluate the effect of different stocking density on growth performance, survival, water quality and body indices of E.suratensis fingerlings for 90 days at PRFF, Pazhaverkadu. Methods: Three different stocking densities are 100, 200, 300 no of fishes/m3. The fingerlings of pearlspot, E.suratensis with an average body weight of 5.05±0.03 g were stocked at a rate of SD-1 (100/m3), SD-2 (200/m3) and SD-3 (300/m3) culture for a period of 90 days. Result: The growth parameters were found to significantly decrease with increasing stocking density in the biofloc rearing system. Result of Nitrite and nitrate concentrations were significantly lower in the BFT treatment with lower stocking density than in higher stocking density (P less than 0.05). The highest mean body weight gain recorded in SD1 (42.37±0.04 g) followed by SD2 (29.98±0.08 g) and SD3 (20.85±0.06 g). BFT significantly increased fish specific growth rate and net yield. There was no significant difference in hematology analysis (in terms of white blood cell and red blood cell counts, hemoglobin and hematocrit levels), total superoxide dismutase activity of fish between different stocking density (P greater than 0.05). Second-order polynomial regression analysis of weight gain against pearlspot culture under lower stocking stocking density (100/m3) indicate that biofloc technology culture with lower stocking density can improve the growth performance and immune response and also the maintenance of good water quality and improvement of feed utilization of pearlspot.
Three SINE Insertion Polymorphic Sites were Identified in Insulin-like Growth Factor 2 mRNA-binding Proteins
Authors: Wang Mengli , Zheng Yao , Moawad Ali Shoaib , Chen Cai , Chi Chenglin , Wang Xiaoyan , Song Chengyi
Published: June 2022

Background: The insulin-like growth factor-2 mRNA-binding proteins 1, 2 and 3 (IGF2BP1, IGF2BP2, IGF2BP3) belong to a conserved family of RNA-binding, oncofetal proteins, these RNA-binding proteins (RBPs) modulate important aspects of cell function during development and in cancer. However, the structural variations of IGF2BPs gene generated by retrotransposon insertion have not yet been reported. Methods: In this study, the bioinformatic prediction was performed to screen for retrotransposon insertion polymorphisms (RIPs) in IGF2BP genes.Sixteen predicted RIPs in IGF2BP genes were identified and three RIPs caused by the youngest SINEA1 retrotransposons and located in IGF2BP3 introns were verified by PCR. Result: Polymorphisms of these three RIPs in commercial breeds are poor, but in Chinese native pig breeds, all three RIPs showed abundant polymorphisms. This is consistent with the intensive selection of commercial pigs. In summary, our data suggested that there are at least three RIPs caused by SINE retrotransposons in the IGF2BP3 gene. And they shows different polymorphic distribution in Chinese native and commercial breeds, suggesting that they can be used for population genetic analysis.
Yield and Yield Attributes of Chickpea as Influenced by Phosphorus and Bio-fertilizer Application under Rainfed Conditions
Authors: Tomar Shiv Singh , Singh Nivedita
Published: June 2022

Background: Biofertilizers contain an effective tool in rural environments as a beneficial, sustainable and ecofriendly source of plant supplements. These are arranged on premise of the particular supplement accessibility concern. A few microorganisms are normally utilized as biofertilizers including nitrogen-fixing soil microbes (Azotobacter, Rhizobium), nitrogen-fixing cyanobacteria (Anabaena), phosphate-solubilizing microscopic organisms (Pseudomonas sp.) and AM fungi. Biofertilizers are minimal expense, effective, eco-friendly and sustainable source of plant supplements to enhance fertilizer. Methods: A field experiment was conducted on rainfed chickpea at crop research center of career point University, Kota during 2016-17 and 2017-18 with four levels of phosphorus and four bio-fertilizer levels. Result: The results revealed that crop fertilized with 40 kg P2O5/ha and combined application of Rhizobium + PSB proved significantly better than other treatment regarding yield attributes and yield (Grain and straw). The economics in the form of net return and B: C ratio was also computed which was confirmed the results, recorded as yield attributes and yield.
The Research of Fare Impact on Transport Demand by Mathematical Modeling
Authors: Losin Leonid , Bulycheva Nelya
Published: June 2022

Purpose: To analyze the methods of mathematical modeling applied in Russian practice in transport and urban planning. To propose methods and algorithms for accounting for public transport fares in the frames of a transport demand and a passenger traffic density model. To test model of public transport system, accounting for a fare on the example of St. Petersburg agglomeration. Methods: Mathematical modeling, processing data large amounts processing, geoinformation analysis. Results: The study of the impact of a fare on a transport demand and a passenger traffic density as a part of complex task being solved on the basis of transport and urban planning modeling on the example of the transport system of St. Petersburg agglomeration has been pursued. Methodology for calculating the matrices of interdistrict correspondences and for passenger flow formation on a transport network given a fare has been developed. It has been revealed that in addition to time limitations, there are also cost ones in service system feasibility. It’s been established that accounting for a fare can be pursued when calculating as correspondence matrices on the basis of fare impact on demand amount as well as passenger flows on the basis of fare impact on a route choice. Practical importance: The developed modeling method can be the basis to study the dependence of influence of rate various types on passenger flow distribution, time and speed parameters. Being proposed model can be used at the development of documentation on territorial and transport planning, of concepts for improvement of rate policy on a public transport.
The role and place of the lecture in “Flipped Classroom” technology
Authors:   National Research Tomsk Polytechnic University, Yanuschik Olga V. , Ustinova Irina G. , Efremova Oksana N. ,   Tomsk State University of Control Systems and Radioelectronics
Published: June 2022

The Flipped Classroom technology is an active, student-oriented form of learning that is used for improve the quality of classroom lessons. This technology attracts the attention of teachers of various disciplines for many reasons, such as a significant reduction in classroom hours, the ability to build an individual learning trajectory, the development of self-education skills, continuous learning, etc. The Flipped Classroom technology has become widespread all over the world, but in our country it is not used often, mainly in the teaching of humanities. That’s why we want to share our experience of using this technology in the study of mathematics at a technical University, as well as to consider the advantages and disadvantages of this technology, the conditions for its application and compare the effectiveness of the Flipped Classroom technology with traditional training. In addition, the advantages of the “inverted class” technology are shown in terms of optimizing lectures, of motivating students to study the subject, and focusing on the development of students’ abilities to independently master knowledge. The article presents the experience of implementing this technology in a technical university, which lasts for 5 years. The results obtained allowed us to conclude about the effective organization of lectures in mathematics with the use of the flipped classroom technology and its promising application in preparing students for classes in mathematics.
ANOSMIA SYMPTOMS AND RT-PCR SWAB RESULTS IN COVID-19 DIAGNOSTICS
Authors: Lusida Vincent Geraldus Enoch , Limawan Denillia , Arifin Fabilla Faiz , Utami Nabilah Puspa , Kesuma Raudhatuzzahra , Qonitatillah Jihan , Amatullah Nida` Fahima , Prajitno Subur
Published: June 2022

Coronavirus Disease-19 (Covid-19) is an infectious disease that has become a pandemic since March 11, 2020. PCR (Polymerase chain reaction) swab is a definitive diagnostic tool for Covid-19, because it has a high level of sensitivity and specificity. One of the symptoms of this infection is anosmia. This study aimed to determine the relationship between the symptoms of anosmia and the positive RT-PCR swab results in Covid-19 diagnostics. This study used a systematic review and meta-analysis method that was in accordance with PRISMA. From 16 articles that met the inclusion and exclusion criteria, we selected 12 articles through EPHPP that reported smell disorder among Covid-19 patients. Four reports studied whether smell disorder was independently associated with Covid-19 diagnosis. The frequency of anosmia ranged between 7,5-95%. Anosmia has high specificity for detecting Covid-19 but has low sensitivity. There was a strong relationship between anosmia symptoms and positive RT-PCR swab results. This showed that anosmia can be a marker for patients to carry out further investigations.
Parent’s Level of Stress on Children’s Online Classes during the COVID-19Pandemic
Authors: Nurrosyida Kartika , Firmanto Neissya Nastiti , Fayanshah Irda Bella Ajeng , Sulistyawati Sri Wijayanti
Published: June 2022

The Covid-19 pandemic is affecting people's lives. One of the sectors hampered by the pandemic is education. During the Coronavirus Disease (Covid-19) Emergency, the teaching and learning process must be replaced by online methods. The role of mothers is very important in ensuring that children's learning targets are achieved during distance learning. This can cause stress conditions for the mother. This study aimed to determine the perceptions and various problems that occurred in mothers with children aged 7-15 years old who attended online schools during the Covid-19 pandemic. This was a descriptive study by distributing questionnaires via google form with 67 respondents. Based on the results, the majority of respondents were 35-45 years old (49.3%). Over 85.6% of respondents accompanied their children in online learning activities during the pandemic. The majority of respondents experienced an increase in emotions (70.1%) and felt stressful when accompanying online school children during the pandemic (62.7%). As many as 40% of respondents felt a moderate level of stress. There were 27 mothers (40%) who had difficulty assisting their children in online schooling and 24 mothers (36%) felt that their professional job was abandoned while their children were having online school.
MEDICAL SNORKEL-MASK: A REUSABLE PERSONAL PROTECTIVE EQUIPMENT FOR HEALTH WORKERS
Authors: Manaf Hafizh Al-Ghifari , Suyudi Muhammad Arsy Reza , Razaan Muhammad Farraas , Praba Venansya Maulina , Al Mufid Shofiuddin , Adhima Fauziah , Nugroho Puguh Setyo
Published: June 2022

Covid-19 is a new disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The increasing number of cases of Covid-19 has made it difficult for hospitals to handle it, and health workers are at a higher risk of infection by SARS-CoV-2 and urgently need Personal Protective Equipment (PPE) to protect themselves and minimize the spread of the virus. However, the usage of PPE especially face-masks often causes discomfort. Therefore, a new type of face mask has emerged, namely the medical snorkel mask. This mask is designed to cover the entire face and is made by modifying the air circulation section by adding an air filter. The filter used is PALL Ultipor 25 with a HEPA filter capable of filtering up to 0.3 microns in size and has an efficiency of 99.99%. Medical snorkel mask that is used properly are quite efficient in preventing the transmission of Covid-19, with a fitting factor of 142 from pass level 100. This mask also has passed the CO2 toxicity test. The advantages of a medical snorkel mask include protecting the entire face from infectious droplets, preventing direct hand contact with the face, being reusable, and being equipped with an effective air filter by minimizing the potential for filtrate malfunction. Some of the disadvantages of this mask include interfering with the communication process, cannot being used in conjunction with glasses, a buildup of CO2, increasing the work of breathing, and limiting vision. However, some of these weaknesses can be minimized by modifying the mask and maintaining an optimal barrier system. Given the high level of effectiveness and efficiency, medical snorkel masks can be a novel solution to overcome the discomfort of using PPE for health workers in Indonesia. Hopefully, it can reduce the morbidity and mortality of health workers due to exposure to Covid-19.
Education Webinar Increaces The Knowledge of The Mask Waste Management During COVID-19 Pandemic
Authors: Situmorang Anggia Gracia Marlina , Farahannisa Kintan Adelia , Rahmawati Iqlima , Rossyanti Lynda
Published: June 2022

Covid-19 caused many countries to implement new policies to combat its transmission. Among these new policies is the mandatory use of face masks in public spaces, which increased their production, consumption, and mask waste in the environment. Insufficient knowledge and awareness about the proper disposal of used masks, especially medical masks, might lead to environmental pollution due to microplastic particles and widespread contamination of Covid-19, which will affect sanitation and clean water supplies. Thus, providing education regarding proper and responsible masks use and disposal is essential to maintain good health for all and reduce potential environmental hazards amidst the Covid-19 pandemic. To understand the effect of providing education on knowledge regarding the use and management of medical masks,“EMISSION: Reducing Mask Waste in the Midst of Covid-19 Pandemic” webinar was conducted. This study used the One Group Pretest-post-test Design research method. The sample was selected by purposive sampling technique. The variable studied was the increase in knowledge as measured by pretest and post-test questionnaires. The obtained data were tested by using Paired Samples T-Test. There was a significant effect between knowledge scores related to medical masks before (pretest) and after the (post-test) webinar with a difference in the average value of 0.59 and p-value = 0.000. Education through "EMISSION: Reducing Mask Waste in the Midst of Covid-19 Pandemic" webinar increased public knowledge regarding medical masks to help ensure good health and well-being.
İbn Kemal’in “fî Cevâzi’t-tevessü‘ fî kelâmi’l-‘Arab” Adlı Risâlesi ve Arapçada Anlam Genişlemesine Dair Görüşleri
Authors: YURTTAŞ Tahsin
Published: June 2022

Bu makalede İbn Kemal’in (Kemalpaşazâde) (ö. 940/1534) fî Cevâzi’t-tevessü‘ fî kelâmi’l-‘Arab adlı risâlesi ve Arapçada dilde genişlemeye dair görüşleri incelenecektir. Risâlede, Arap dilinde “lafızda anlam genişlemesi” anlamına gelen tevessü olgusu ele alınmaktadır. İbn Kemal’e göre Arap dilinde lafzın anlam genişlemesine uğraması sık görülen bir durumdur. Ona göre, ismin farklı şekillerde kullanılması, teşbih, mecâz, istiâre, mübâlağa vb. yollarla anlamsal genişlemesine uğraması mümkündür. Yine mastar olarak gelen ismin sıfat anlamında kullanılması, deyim içinde kullanılan bazı özel isimlerin vasıf anlamına gelmesi de anlam genişlemesi türlerindendir. İbn Kemal, eserde, kendinden önceki dilci ve belâgatçıların dildeki genişleme hakkındaki görüşlerini örnekler üzerinden ifade etmekte ve onları bazen eleştirmektedir. Hatta temelde risâlesinin yazılış amacının bu eleştirileri dile getirmek olduğu dahi söylenebilir. İsmin morfolojik ve gramatik yapısı onun ne tür bir anlam genişlemesine uğradığını göstermektedir. Fakat son tahlilde anlam genişlemesini belirleyen esas ölçüt, gündelik dilde o lafız veya terkiple kast edilen anlamdır. İbn Kemal - es-Sekkâkî (ö. 626/1229) gibi bazı klasik belâgatçılardan farklı olarak - ismin sıfat anlamı kazanırken anlam değişiminin nahvî, sarfî ve özellikle de belâgî yönlerine vurgu yapmaktadır. Yani risaleyi isimlerdeki anlam genişlemesini tam olarak ifade etmeyen dilcilere karşı yazmıştır diyebiliriz. İbn Kemal, risalede anlam genişlemesini sıfat anlamını yüklenebilen ve haber olarak gelen isimlerle sınırlı tutmuş ve Tefsir ilmindeki anlam genişlemesi tartışmalarından farklı olarak fiillerdeki tevessü olgusuna değinmemiştir.
Microvesicles: the functional mediators in sorafenib resistance
Authors: He Cong , Ali Doulathunnisa Jaffar , Sun Bo , Sun Bei-Cheng , Xiao Zhong-Dang
Published: June 2022

Overcoming drug resistance in cancer therapies remains challenging, and the tumor microenvironment plays an important part in it. Microvesicles (MVs) are functional natural carriers of cellular information, participate in intercellular communication, and dynamically regulate the tumor microenvironment. They contribute to drug resistance by transferring functional molecules between cells. Conversely, due to their specific cell or tissue targeting ability, MVs are considered as carriers for therapeutic molecules to reverse drug resistance. Thus, in this mini-review, we aim to highlight the crucial role of MVs in cell-to-cell communication and therefore their diverse impact mainly on liver cancer progression and treatment. In addition, we summarize the possible mechanisms for sorafenib resistance (one of the main hurdles in hepatocellular carcinoma treatments) and recent advances in using MVs to reverse sorafenib resistance in liver cancer therapies. Identifying the functional role of MVs in cancer therapy might provide a new aspect for developing precise novel therapeutics in the future.
Sekuritizacija pandemije tokom predizborne kampanje u Srbiji 2020. godine
Authors: Čolić Jovana
Published: June 2022

Predmet ovog rada je upotreba sekuritizacije pandemije od strane vladajućih ‎političkih elita u cilju dobijanja političkih poena u predizbornoj kampanji u Srbiji‎ 2020. godine, kao i posledice ovog procesa. Samim tim, analiza nudi drugačiju ‎perspektivu za sagledavanje manipulacije tokom funkcionerske kampanje ‎korišćenjem analitičkog okvira teorije sekuritizacije, uz dodatak teorije uokviravanja. ‎Tako će sa analitičkog stanovišta obraditi sve osnovne elemente sekuritizacije ‎pandemije, dok će normativni deo poslužiti za ispitivanje etičnosti,‎ odnosno opravdanosti ove sekuritizacije. Krajnji zaključak rada je da je sekuritizacija ‎pandemije bila u funkciji promocije lidera i vladajuće političke partije‎ u Srbiji, a ne stvarne borbe za bezbednost građana.‎
Assessing the Impact of Vaccine Lotteries on COVID-19 Vaccination Rates in the United States in 2021
Authors: Sload Jeffrey , Bechtolsheim Benjamin , Gifford Deidre
Published: June 2022

We assessed the impact of COVID-19 vaccine lottery programs on COVID-19 vaccination coverage using Centers for Disease Control and Prevention‒reported first-dose vaccination administration rates for the population aged 18 years and older for 19 states that adopted lottery-based incentive programs. We did not find evidence of increased first-dose vaccination rates following lottery announcements across participating states and, therefore, find little justification for the use of COVID-19 vaccination lotteries to increase vaccination rates. (Am J Public Health. 2022;112(8):1130–1133. https://doi.org/10.2105/AJPH.2022.306863 )
Total Talar and Navicular Extrusions
Authors: Lalchandani Gopal R. , Hung Nicole J. , Janghala Abhinav , Terry Michael , Morshed Saam
Published: June 2022

Case:

A 15-year-old adolescent boy sustained both talar and navicular extrusions after a dirt-bike accident. The talus and navicular were discarded during initial debridement because of contamination. Given extensive soft-tissue injury and bone loss, the patient’s family opted for transtibial amputation, as described by Ertl, over limb salvage. Simultaneous osteomyoplastic reconstruction and acute targeted muscle reinnervation were performed.

Conclusion:

Transtibial amputation is a viable treatment option for total talar and navicular extrusions, particularly if an optimal functional outcome is unachievable with limb salvage. Simultaneous osteomyoplastic reconstruction and acute targeted muscle reinnervation can potentially decrease neuroma formation and phantom limb pain.
Superior Cluneal Nerve Stimulator Lead Displacement to the Thigh
Authors: Song Junho , Humphrey Tyler , Zhang Andrew , Chao Simon , Czerwein John
Published: June 2022

Case:

An 82-year-old man with a history of lumbar spinal stenosis and prior laminectomy presented with chronic lower back pain and was treated with placement of bilateral superior cluneal nerve stimulators. At the 2-week follow-up, the patient reported loss of efficacy and new-onset paresthesia of the left lower extremity. Fluoroscopic evaluation revealed lead breakage and distal migration of the left-sided stimulator lead to the left anteromedial thigh.

Conclusion:

Lead breakage and migration remains a challenge in peripheral nerve stimulation. This report illustrates the case of a nerve stimulator lead breakage and migration resulting in treatment failure and new-onset sensory disturbance.
Rancang Bangun Website E-Commerce Berbasis Wordpress pada Mebel UD “REJEKI”
Authors: Siswanti Kristin , Famukhit Muga Linggar , Rahayu Dwi
Published: June 2022

Dalam merancang dan membangun sebuah website e-commerce pada mebel UD “REJEKI” membuat pelanggan lebih mudah untuk melakukan pemesanan produk. Dengan adanya website e-commerce dapat membantu admin untuk melakukan proses penjualan dengan cepat dan tidak memakan waktu lama. Website e-commerce juga membantu dalam mempercepat proses transaksi penjualan pada mebel UD “REJEKI”. Metode yang digunakan dalam penelitian ini adalah Research and Development (R&D). R&D merupakan kegiatan penelitian dan pengembangan yang memiliki kepentingan yang kaitannya dengan pengembangan aplikasi di bidang teknologi. Teknik pengumpulan data pada metode penelitian R&D adalah dengan melakukan observasi dan wawancara yang dilakukan pada mebel UD “REJEKI”. Hasil dari penelitian ini adalah peneliti dapat mengetahui bagaimana rancang bangun website e-commerce yang tepat untuk mebel UD “REJEKI” sehingga dapat membantu dalam melakukan transaksi penjualan dengan  mudah dan  membantu dalam melihat laporan-laporan penjualan.
A Deep Learning Framework Using Graph Convolutional Networks for Adaptive Correction of Interwell Connectivity and Gated Recurrent Unit for Performance Prediction
Authors: Du Leding , Liu Yuetian , Xue Liang , You Guohui
Published: June 2022

Oilfield development performance prediction is a significant and complex problem in oilfield development. Reasonable prediction of oilfield development performance can guide the adjustment of the development plan. Moreover, the reservoir will change slowly during reservoir development because of flowing water however, previous networks that forecast production dynamics ignored it, which leads to inaccurate predictions. Routine well-wise injection and production measurements contain important subsurface structure and properties. So, for the dynamic prediction of oil/water two-phase waterflooded reservoirs, we built a deep learning framework named adaptive correction interwell connectivity model based on graph convolutional networks (GCN) and gated recurrent unit (GRU). It includes two parts: The first part is the adaptive correction model based on GCN, which uses dynamic production data to automatically correct the initial interwell connectivity computed by permeability, porosity, interwell distance, and so on. The second part is the adaptive learning model based on GRU, which predicts the production performance of oil wells according to the time characteristics of production performance data. This framework considers the influence that changes in reservoir conditions have on production over time to solve the problem of inaccurate production dynamic prediction. It can also predict interwell connectivity. For oilfields with too many wells, using the embedding idea classifies similar wells into one category, saving time for training and avoiding overfitting problems. Applying the model to five different reservoirs to predict interwell connectivity, well oil production rate, and well water cut compare the results with artificial neural networks (ANN), GRU, and long short-term memory (LSTM) models and compare the interwell connectivity with numerical simulation software ,tNavigator® (Rock Flow Dynamics Llc), too. When the model is applied in Block B of Bohai A reservoir, the mean absolute percentage error of “Adaptive Graph convolutional network and GRU” (AG-GRU) is 2.1150% while the LSTM is 9.8872%. The error reduces by 78.6%. The injected water has a direction from the water injection well to the production well; this paper only considers the interwell connectivity without considering the direction. Further research is needed to consider the water injection direction and form a weighted directed graph.
The structure of the NuA4/Tip60 complex reveals the mechanism and importance of long-range chromatin modification
Authors: Schultz Patrick , Frechard Alexandre , Hexnerova Rozalie , Crucifix Corinne , Papai Gabor , Smirnova Ekaterina , Faux Celine , Ping Florie , Helmlinger Dominique , Ben-Shem Adam
Published: June 2022

Histone acetylation regulates most DNA transactions and is dynamically controlled by highly conserved enzymes. The only essential histone acetyltransferase (HAT) in yeast, Esa1, is part of the 1MDa NuA4 complex, which plays pivotal roles in both transcription and DNA damage repair. NuA4 has the unique capacity to acetylate histone targets located several nucleosomes away from its recruitment site. Neither the molecular mechanism of this activity nor its physiological importance are known. Furthermore, a high-resolution model for holo-NuA4 is lacking. Here we report the structure of the yeast NuA4 complex with its core resolved at 3.4 Å resolution. Three subunits, Epl1, Eaf1, and Swc4, intertwine to form a stable platform that coordinates all other modules. The HAT module is firmly anchored into the core while retaining the ability to stretch out over a long distance. We provide structural, biochemical and genetic evidence to demonstrate that an unfolded region of the Epl1 subunit is critical for this long-range activity, which we show to be essential for viability and maintenance of acetylated H4 levels in yeast. Our work lays the foundations for a mechanistic understanding of NuA4 regulatory role and elucidates how its essential long-range activity is attained.
Pre-and post-dam river water temperature alteration prediction using advanced machine learning models
Authors: Vishwakarma Dinesh Kumar , Ali Rawshan , Bhat Shakeel Ahmad , Elbeltagi Ahmed , Kushwaha Nand Lal , Kumar Rohitashw , Rajput Jitendra , Heddam Salim , Kuriqi Alban
Published: June 2022

Dams significantly impact river hydrology, mainly by changing the timing, size, and frequency of low and high flows, resulting in a hydrologic regime that differs significantly from the natural flow regime before the impoundment. For precise planning and judicious use of available water resources for agricultural operations and aquatic habitats, it is critical to accurately assess the dam water's temperature. The building of dams, particularly several dams in rivers, can significantly impact downstream water. In this study, we predict the daily water temperature of the Yangtze River at Cuntan. Thus, this work reveals the potential of machine learning models; namely, M5 pruned (M5P), random forest (RF), Random Subspace (RSS), and reduced error pruning tree (REPTree). The best and effectives input variables combinations were determined based on the correlation coefficient. The outputs of the various machine learning algorithm models were compared with recorded daily water temperature data using goodness-of-fit criteria and graphical analysis to arrive at a final comparison. Based on a number of criteria, numerical comparison between the models revealed that M5P model performed superior (R2 = 0.9920, 0.9708; PCC = 0.9960, 0.9853; MAE = 0.2387, 0.4285; RMSE = 0.3449, 0.4285; RAE = 6.2573, 11.5439; RRSE = 8.0288, 13.8282) in pre-impact and post-impact spam, respectively. These findings suggest that a huge wave of dam construction in the previous century altered the hydrologic regimes of large and minor rivers. This study will be helpful for the ecologists and river experts in the planning of new reservoirs to maintain the flows and minimize the water temperature concerning spillway operation. Finally, our findings revealed that these algorithms could reliably estimate water temperature using a day lag time input in water level. They are cost-effective techniques for forecasting purposes.
Extended Fuzzy Intervals and their Application in Optimal Allocation Problem Under Uncertainty
Authors: Ramik
Published: June 2022

In this paper we define a special interval uncertainty by extending the well known concept of fuzzy intervals (or, fuzzy numbers), defining a new concept of extended fuzzy interval and its subspace: extended linear fuzzy interval. We present some examples and derive basic properties. Then we demonstrate an application of the new concept by formulating the well known Optimal Allocation Problem (OAP) and its solution under uncertainty. We formulate the corresponding optimization problem with the extended fuzzy interval coefficients and also extended fuzzy interval variables and derive its optimal solution in the form of extended fuzzy intervals. Two numerical examples are presented in order to illustrate particular problems and solution concepts.
Design and Analysis of Negative Capacitance Assisted SRAM: A Compact Model Based Study
Authors: YADAV SAMEER , Kondekar PN , Awadhiya Bhaskar , Upadhyay Pranshoo , Jaisawal Rajeewa Kumar , Rathore Sunil
Published: June 2022

In this paper, a detailed evaluation of negative capacitance FinFET (NC-FinFET) based volatile static random access memory (6T-NCSRAM) is carried out by utilizing L-K equation for ferroelectric and calibrated BSIM-CMG model with 14nm conventional FinFET to form NC-FinFET. Static and dynamic behaviour of NC-FinFETs is explored and evaluated at different ferroelectric thickness. At supply voltage scaling, important SRAM performance metrics such as stability at different operation condition (hold, read and write mode) and standby leakage power were evaluated. When compared to traditional FinFET-based SRAM, 6T-NCSRAM exhibits distinct behaviour during low and high supply voltages. Moreover, the effect of wordline (WL) voltage pulse variation on 6T-NCSRAM is captured and minimum RC multiplier of 2RC is found to avoid functional failure of 6T-NCSRAM.
An improved metamorphosis-based scheme of configuration synthesis for feed mechanism
Authors: Zhang Li , Liu Yang , Zhang Yongju
Published: June 2022

In this work, the principle of metamorphic mechanism is optimized for product design based on the variable topological structures. A metamorphic element consisting of kinematic pair and kinematic size is proposed firstly. A new configuration synthesis strategy for feed mechanism is performed in view of the translocation, inversion and duplication variation methods. The metamorphic elements are obtained by means of the decomposing the source metamorphic mechanism. A novelty configuration scheme based on constraint variation features is established by the solution of constraint relationship of metamorphic elements, and three kinds of configurations are synthesized. The comparisons of kinematic performances between source mechanism and new mechanism configurations are carried out using kinematic simulation. Results demonstrate that proposed strategy can synthesize successfully multiple types of the metamorphic mechanisms to meet the demands of functional targets.
Sensor Placement Optimization in Dynamic Water Distribution Network by Considering the Importance of Nodes and Uncertain Contamination Entrance
Authors: harif Siroos , Darmian Mohsen Dehghani , Azizyan Gholamreza , Givehchi Mohammad
Published: June 2022

Urban infrastructure is heavily reliant on water distribution systems. Contaminants entering the water distribution systems (WDS) are one of the most dangerous events that may occur either deliberately or by accident. Water can become polluted with chemicals or biological agents as a result of water flow. This can cause sickness or even death among people who drink the water. Using an Early Warning Detection System (EWDS) is one of the most effective ways to minimize negative consequences on public health. EWDS are sensors that can reduce the damage due to detecting the contamination. The main challenge is to arrange the sensors in the network in the most efficient way. In this study, the Non-Dominated Sorted Genetic Algorithm-II (NSGA-II), a multi-objective optimization approach, is developed to determine the optimal placement of quality sensors in water distribution networks by balancing four conflicting objectives. 1. Sensor detection likelihood, 2. Sensor expected detection time, 3. Sensor detection redundancy, and 4. The affected population before detection. A contamination matrix with 1000 contaminants event was generated, which represented the total possible combinations of pollutants, then the optimal Pareto fronts are obtained for each two conflicting objectives. The importance coefficients are proposed and applied to minimize the pollution detection time and the number of infected populations based on the contamination risks and the node demands, respectively. Moreover, the sensitivity analysis of the results obtained from different objective functions related to the number of sensors installed in the network was conducted.
Quantifying spatial non-stationary response of influencing factors on ecosystem health: An example in the Inner Mongolia, China during 1995 to 2020
Authors: Na Li , Shi Yu , Guo Luo
Published: June 2022

The identification of ecosystem health and its influencing factors is crucial to sustainable management of ecosystem and ecosystem restoration. In spite of numerous studies on ecosystem health have been carried out in different perspectives, few studies have investigated the spatiotemporal heterogeneity between ecosystem health and its influencing factors systematically. Considering this gap, the spatial relationships between ecosystem health and its factors concerning climate, socioeconomic and natural resource endowment at the county level were estimated based on a geographically weighted regression (GWR) model. The spatio-temporal distribution pattern and driving mechanism of ecosystem health were systematically analyzed. Results showed that:(1)The ecosystem health level in Inner Mongolia spatially increases from northwest to southeast, displaying notable global spatial autocorrelation and local spatial aggregation.(2)The factors influencing ecosystem health exhibit significant spatial heterogeneity. Annual average precipitation (AMP),biodiversity(BI) was positively correlated with ecosystem health, annual average temperature(AMT) and land use intensity(LUI)are estimated to be negative.(3) Annual average precipitation (AMP) significantly improves ecosystem health, whereas annual average temperature (AMT) significantly worsens eco-health in the eastern and northern regions. LUI negatively impacts ecosystem health in western counties (such as Alxa, Ordos, and Baynnur).This study contributes to extending our understanding of ecosystem health depend on spatial scale, and could inform decision-makers about how to control various influencing factors to improve the local ecology under local conditions. Finally, this study also proposed some relevant policy suggestions and provide effective ecosystem preservation and management support in Inner Mongolia.
Barriers and facilitators to the implementation of guidelines in rare diseases: A systematic review
Authors: Gittus Matthew John , Chong Jiehan , Sutton Anthea , Ong Albert , Fotheringham James
Published: June 2022

Background:Rare diseases are individually rare but collectively common. They present a challenge to guideline implementation due to a low prevalence in the general population and the unfamiliarity of healthcare professionals. Existing literature in more common diseases references barriers and facilitators to guideline implementation. This systematic review aims to identify these barriers and facilitators in rare diseases. We systematically identified barriers and facilitators to the implementation of guidelines in rare diseases from existing literature: A multi-stage strategy included searching MEDLINE PubMed, EMBASE Ovid, Cochrane library and Web of Science from the earliest date available to April 2021, Orphanet journal hand-search, a pearl-growing strategy from a primary source and reference/citation search.We identified and trialled frameworks for the narrative synthesis of barriers and facilitators selecting the Integrated Checklist of Determinants of Practice which comprises of twelve checklists and taxonomies, 57 potential determinants. It was developed as a screening tool to identify determinants that warrant further in-depth investigation to inform design of future implementation strategies. Results:Thirty-nine studies were included, most of which were conducted in North America (56.4%). There were 154 barriers across 35 determinants (33 studies) and 52 facilitators across 24 determinants (22 studies). Fourteen diseases were included across seven WHO ICD-11 disease categories.Individual health professional factors and guideline factors were the most commonly reported domains (56.5% of barriers and 65.4% of facilitators). Overall, the three most reported barriers were the awareness/familiarity with the recommendation, domain knowledge and availability of necessary resources. The three most reported facilitators were awareness/familiarity with the recommendation, agreement with the recommendation and ability to readily access the guidelines. Particularly relevant to rare disease health technologies, the domain of incentives and resources included barriers to implementation in the form of technology costs, ancillary staff costs and more cost-effective alternatives. There was no mention in the included studies of influential people, patient advocacy groups or opinion leaders, or organisational factors influencing implementation. Conclusion:Key barriers and facilitators to the implementation of clinical practice guidelines in the setting of rare diseases were at the individual health professional and guideline level. Influential people and organisational factors were relatively under-reported and warrant exploration, as does increasing the ability to access the guidelines as a potential intervention.
Infinitely Scalable Multiport Interferometers
Authors: Hamerly Ryan , Bandyopadhyay Saumil , Englund Dirk
Published: June 2022

Component errors limit the scaling of programmable coherent photonic circuits. These errors arise because the standard tunable photonic coupler---the Mach-Zehnder interferometer (MZI)---cannot be perfectly programmed to the cross state. Here, we introduce two modified circuit architectures that overcome this limitation: (1) a 3-splitter MZI mesh for generic errors, and (2) a broadband MZI+Crossing design for correlated errors. Because these designs allow for perfect realization of the cross state, the matrix fidelity no longer decreases with mesh size, allowing scaling to arbitrarily large meshes. The proposed architectures support progressive self-configuration, are more compact than previous MZI-doubling schemes, and do not require additional phase shifters. This eliminates a major obstacle to the development of very-large-scale linear photonic circuits.
Thymoquinone counteracts oxidative and inflammatory machinery in carrageenan-induced murine paw edema model
Authors: Hijazy Hayfa Hussin Ali , Dahran Naief , Althagafi Hussam A. , Alharthi Fahad , Habotta Ola A. , Oyouni Atif Abdulwahab A. , Algahtani Mohammad , Theyab Abdulrahman , Al-Amer Osama , Lokman Maha S. , Alsharif Khalaf F. , Albrakati Ashraf , Amin Hatem K. , Dawood Shauq Mumtaz , Kassab Rami , Ellethy Rania A.
Published: June 2022

Thymoquinone (TQ) is an active constituent in Nigella sativa, and is extensively reported for its distinguished antioxidant, and anti-inflammatory bioactivities. Despite the local protective response of the acute inflammation, it contributes to the development of various disease conditions such as cell death, organ damage, or genesis of tumors. Hence, in this study, the effects of orally administered TQ (50 and 100 mg/kg) for 14 days against edema development, oxidative stress, and inflammation were investigated in paw edema induced by carrageenan in mice. Indomethacin (10 mg/kg) was used as a reference drug. The results revealed that TQ reduced the paw edema volume in a time-dependent manner, attenuated acetic acid-provoked writhing movements, and reduced xylene-triggered ear edema. Hematological findings revealed marked normalization of altered counts of WBCs, and platelets. Furthermore, paw tissue levels of MDA and NO showed marked decreases together with increases Nrf2, GSH, SOD, CAT, GPx, and GR after TQ administration. Additionally, TQ decreased the levels of pro-inflammatory mediators, such as IL-1b, TNF-α, IL-6, MCP-1, CRP, MPO, and NF-κB in the inflamed paw tissue. Moreover, appreciable decreases were recorded in COX-2 and its product (PGE-2) as well as the immune reaction of TNF-α in TQ-treated mice. Histopathological findings further validated the potential antioedematous, anti-inflammatory power of TQ in inflamed tissues. Conclusively, the obtained findings encourage the potent application of TQ to subside the acute inflammatory events because of its striking antioxidant and anti-inflammatory properties in the inflamed paw tissue.
Preliminary Validation of Pictorial Representation of Illness and Self Measure-Revised 2 (PRISM-R2): An effective tool for assessing the suffering of patients with spinal cord injury in Mainland China
Authors: wang yanbo , gao Jia , Xie Haixia , Wu rong
Published: June 2022

Design: Cross sectional. Objectives: Patients with spinal cord injury often have different degrees of psychological distress, which is related to the injury’s suddenness and the associated high level of disability. The Pictorial Representation of Illness and Self Measure-Revised 2 (PRISM-R2) has been developed as a visual measure for assessing patients’ suffering . The aim of this study was to validation the effective for assessing suffering of patients with SCI in Mainland China.Setting:Data were collected on individuals with SCI now living in the Hospital.Methods: The evaluation tools include: (1) PRISM-R2, Pictorial Representation of Illness and Self Measure-Revised 2 .(2) The World Health Organization Quality of Life Short Form Survey(WHOQOL-BREF).（3）The Multidimensional Body-Self Relations Questionnaire(MBSRQ).(4)The Patient Health Questionnaire-9 (PHQ-9). (5)Social Support Rating Scale(SSRS).(6)Numerical rating scale (NRS).(7)Modified Barthel Index（MBI).The validity of the PRISM-R2 content was also tested by content analysis.Results: SIS and IPM showed a strong correlation (r=−.540；P<0.001). Qualitative data indicate that the interpretation of the PRISM-R2 task is not only consistent among patients, but also consistent with that expected from existing literature on suffering. As expected, PRISM shows strong correlations with psychological variables (notably depression and social support, and appearance orientation) and also correlates with WHOQOL-BREF subscale scores.Conclusions: The Pictorial Representation of Illness and Self-Measure-Revised 2 (PRISM-R2) effectively reflects the perception of psychological variables and suffering in SCI patients and is beneficial in evaluating or guiding the intervention the interventions for the people with SCI.