bluuebunny/crossref_metadata_2025 huggingface dataset:
Deep learning for predicting permeability logs in offset wells using an artificial neural network at a Waggoner Ranch reservoir, Texas
Authors: Parra Jorge O.
Published: March 2022

Permeability logs are critical data used to assess reservoir quality, which can impede the confidence of reservoir productivity without proper characterization. In particular, this can be significant in shale-sand sequence reservoirs that have heterogeneous lithology. Fortunately, permeability logs can be derived from Stoneley waves that are extracted from conventional full-waveform sonic logs. Because sonic logs are not always available in old wells, exploring alternatives to predict permeability is essential. The artificial neural network method is one option that provides elements to develop a model to predict permeability logs in offset wells. Consequently, a model is constructed using standard logs as input data and a Stoneley-wave permeability log as the desired output. These logs are obtained from a new well containing a complete suite of logs including full-waveform sonic data and a permeability log. The open-source Python library Keras provides the environment to generate the model. The model is applied to two nearby wells in which permeability logs do not exist. The borehole separation from the new well to the far well is 2055 ft, and the separation distance to the near well is 1370 ft. The logging data were acquired from wells located in an oil reservoir at Waggoner Ranch in northeast Texas. The reservoir geology is a sand-shale sequence intercepted by thin limestone markers at several depths. Permeability logs are predicted and correlated with other logs and their corresponding lithology. Sands partially saturated with hydrocarbons are identified by their permeability properties at the wells. The sands were previously characterized and mapped from impedance data using a nonlinear inversion of reflection seismic image constrained with well logs. The data analysis demonstrates the usefulness of the neural network approach to predict permeability in reservoirs where offset wells are available and only one well contains a permeability log.
Past geophysics science fair projects inspire new ideas in a high school STEM setting
Authors: Gallery Luke , Henderson Betty , Neff Warren
Published: March 2022

During the 2020–2021 school year, a Bartlesville (Oklahoma, USA) High School student engaged in a science, technology, engineering, and math science fair project. It was inspired by a past science fair project published in The Leading Edge in November 2019. The goal of the project is to determine if a 3D seismic survey could be designed to provide even fold in the heart of an ocean-bottom node (OBN) seismic survey for converted waves with sources and receivers at different elevations. Much of the work involves the derivation of a generalized set of equations that predict the required bin size and expected fold for a given 3D OBN seismic survey design. Once the equations are established, a set of seismic survey design tests are conducted to determine if the equations are valid.
Reviews
Authors: Green William
Published: March 2022

Survey Design and Seismic Acquisition for Land, Marine, and In-between in Light of New Technology and Techniques, by David J. Monk, ISBN 978-1-560-80370-6, 2020, Society of Exploration Geophysicists, 214 p. Illustrated Seismic Processing Volume 2: Preimaging, by Stephen J. Hill and Andreas Rueger, ISBN 978-1-560-80368-3, 2020, Society of Exploration Geophysicists, 330 p.
Detection of cardiac allograft vasculopathy on dual source computed tomography in heart transplant recipients: comparison with invasive coronary angiography
Authors: Ojha Vineeta , Ganga Kartik P , Mani Avinash , Jagia Priya , Gulati Gurpreet , Seth Sandeep , Nakra Tripti , Arava Sudheer , Kumar Sanjeev , Ray Ruma , Sharma Sanjiv
Published: March 2022

Objective:

We aimed to evaluate the diagnostic accuracy (DA) of dual-source CT coronary angiography (DSCTCA) against invasive coronary angiography (ICA) in assessing stenotic cardiac allograft vasculopathy (CAV) in heart transplant (HTX) recipients.

Methods:

Consecutive HTX recipients(n = 38) on annual surveillance, underwent DSCTCA prior to ICA on a 192-detector 384-slice DSCT scanner. Cases were classified as no CAV (no stenosis), any CAV (any degree of stenosis) or significant CAV (>50% stenosis).

Results:

Mean age was 33.66 ± 11.45 years (M:F = 27:11, median time from HTX-23.5 months). Prevalence of any CAV on DSCTCA and ICA was 44.7%(n = 17) and 39.5%(n = 15), respectively and that of significant CAV was 21.1%(n = 8) and 15.8%(n = 6), respectively. 557 (96.7%) segments were interpretable on DSCTCA. Mean radiation dose was 4.24 ± 2.15 mSv. At patient-level, the sensitivity, specificity, positive-predictive value, negative-predictive value (NPV), and DA of DSCTCA for detection of any CAV and significant CAV were 100%, 91.3%, 88.2%, 100%, 94.73% and 100%, 94%, 75%, 100%, 95% respectively. The same on segment-based analysis were 96%, 97.6%, 80%, 99.6%, 97.5% and 100%, 99.6%,86.7%,100%, 99.6%, respectively. There was excellent agreement between the two modalities for detection of any CAV and significant CAV [κ = 0.892 and 0.826 (patient-level), 0.859 and 0.927 (segment-level)]. CAC score correlated significantly with the presence of any CAV on both modalities. A diagnosis of rejection on biopsy did not correlate with any/significant CAV on DSCTCA or ICA.

Conclusion:

High sensitivity and NPV of DSCTCA in the evaluation of stenotic CAV suggests that it can be an accurate and non-invasive alternative to ICA for routine surveillance of HTX recipients.

Advances in knowledge:

DSCTCA detects the stenotic CAV non-invasively in transplant recipients with high sensitivity, specificity and NPV when compared with catheter coronary angiography, at lower radiation doses. There is excellent agreement between CT angiography and catheter coronary angiography for detection of any CAV and significant CAV. A diagnosis of rejection on biopsy does not correlate with any/significant CAV on CT angiography or catheter angiography.
Accuracy of MRI, CT, and Ultrasound imaging on thickness and depth of oral primary carcinomas invasion: a systematic review
Authors: Marcello Scotti Fernanda , Stuepp Rubia Teodoro , Leonardi Dutra-Horstmann Kamile , Modolo Filipe , Gusmão Paraiso Cavalcanti Marcelo
Published: March 2022

Objectives:

The aim of this study was to perform a systematic review to assess the sensitivity, specificity, and accuracy of magnetic resonance imaging (MRI), computed tomography (CT), and intraoral ultrasound (US) to determine the depth of invasion (DOI) and/or tumor thickness (TT) in oral cavity cancers, with histopathological evaluation as the gold standard.

Methods:

Articles whose primary objective was to evaluate the accuracy (sensitivity and specificity) of MRI, CT, and US imaging to assess DOI and/or TT were searched in six major electronic databases, in addition to three grey literature databases. The methodological quality of the selected studies was evaluated by using the Quality Assessment Tool for Diagnostic Accuracy Studies-2.

Results:

Twelve studies met the inclusion criteria and underwent qualitative analysis: six studies on MRI, three on US, and one on CT. The accuracy values for MRI ranged from 67 to 83%, with sensitivity values above 80% and specificity above 75%. For US, mean values of sensitivity ranged from 91 to 93%. For CT, accuracy was 75%.

Conclusions:

For the application of US, CT, MRI, good accuracy was reported in DOI and/or TT, as evaluated in the preoperative period. US offered advantages for detection of small lesions.
Methods of teaching architecture in virtual immersion
Authors: Βελαώρα Μαρία
Published: March 2022

Οι ψηφιακές πραγματικότητες, όπως η εικονική (VR) ή η επαυξημένη πραγματικότητα (AR), μπορούν να συμπληρώσουν τις παραδοσιακές μεθόδους εκμάθησης αρχιτεκτονικού σχεδιασμού. Οι δυνατότητες ανάμειξης του πραγματικού και του εικονικού περιβάλλοντος, που καθίσταται δυνατή από την AR, θα προωθήσουν την οικειοποίηση των σχέσεων μεταξύ της αρχιτεκτονικής και του περιβάλλοντός της. Η VR θα επέτρεπε την αντιμετώπιση διαφορετικών καταστάσεων από τον φοιτητή αρχιτεκτονικής. Η διδακτορική εργασία στοχεύει στη συμβολή πιθανών χρήσεων διαδραστικών εικονικών περιβαλλόντων από τα οποία μπορούν να αναδυθούν νέες εκπαιδευτικές μέθοδοι διδασκαλίας αρχιτεκτονικής. Οι μετασχηματισμοί στις μεθόδους διδασκαλίας που σχετίζονται με τις ψηφιακές τεχνολογίες ξεφεύγουν εντελώς από τη διδασκαλία της αρχιτεκτονικής, η οποία παραμένει σταθερά ριζωμένη στην παράδοση. Η ερευνητική μέθοδος που αναπτύξαμε συνίστατο στη διεξαγωγή ερευνών μεταξύ φοιτητών αρχιτεκτονικής. Επιπλέον, έχουμε αναπτύξει ψηφιακές εφαρμογές και τις δοκιμάσαμε στο μάθημα του αρχιτεκτονικού σχεδιασμού. Τέλος, έχουμε συνθέσει αυτές τις εμπειρίες για να προσδιορίσουμε τις δυνατότητες και τα τα όρια της ψηφιακής πραγματικότητας και των εικονικών εμβυθιστικών περιβαλλόντων που χρησιμοποιούνται στη διδασκαλία της αρχιτεκτονικής.
Die erhebliche Behinderung des wirksamen Wettbewerbs (SIEC-Test) im Fusionskontrollrecht
Authors: Πίτσος Νικόλαος
Published: March 2022

H διδακτορική μου διατριβή πραγματεύεται την αλλάγη του ουσιαστικού κριτηρίουv ελέγχου συγχωνεύσεωνv στο ευρωπαϊκό δίκαιο του ελεύθερου ανταγωνισμού και είναι δομημένο σε 4 θεματικές ενότητες/ κεφάλαια . Με τον Kανονισμό 139/2004 η ΕυρωπαικήbΕπιτροπή δεκαέξι χρόνια μετά την ψήφιση του πρώτου Κανονισμού πέρι ελέγχου των συγκεντρώσεων επιχειρήσεων (4064/1989) και υπό το πρίσμα έντονων πολιτικοοικονoμικών διεργασιών στους κόλπους των Κρατών/μελών αποφάσισε να υιοθετήσει το κριτήριο της σημαντικής παρεμπόδισης του αποτελεσματικού ανταγωνισμού ( SIEC-Test) θέτοντας σε δεύτερη σειρά σπουδαιότητας το μέχρι τότε ισχύον κρίτηριο της δημιουργίας ή ενδυνάμωσης της δεσπόζουσας θέσης. Σε ένα πρώτο κεφάλαιο παρουσίαζονται οι γενικές οικονομικές αρχές που διέπουν τηνω«πιο οικονομική προσέγγιση» «more economic approach» και παράλληλα γίνεται μία συνοπτική ανάλυση της έννοιας και των ειδων των πλεονεκτημάτων ανταγωνιστηκότητας ( efficiency gains). Στο δεύτερο κεφάλαιο παρουσιάζονται οι ερμηνευτικές δυσκολίες που ανακύπτουν από την κανονιστική συνύπαρξη των δύο κριτηρίων.Στο τρίτο κεφάλαιο εκτίθεται αναλυτικά η έννοια της μονοπωλιακής δεσπόζουσας θέσης και πώς εκείνη επηρεάζεται από την εφαρμογή SIEC-Test σε σχέση με την προγενέστερη εφαρμογή του κριτηρίου της δεσπόζουσας θέσης.Στο τέταρτο και βασικό κεφάλαιο, που αποτελεί ουσιαστικά το κέντρο της διατριβήςπαρουσιάζονται διεξοδικά οι αλλάγες που επιφέρει ο νέος Kανονισμός ελέγχου των συγκεντρώσεων στην έννοια της ολιγοπωλιακής δεσπόζουσας θέσης. Διπλά στην έννοια της συντονισμένης συμπεριφοράς στο ολιγοπώλιο( collusion, coordinate effects) στην οποία στηρίχθηκε η νομολογία από την εφαρμογή του πρώτου Κανονισμου , παρουσιάζονται ορισμοί και προσεγγίσεις για την έννοια της άγνωστης σχετικά μη συντονισμένης συμπεριφοράς στο ολιγοπώλιο (unilateral Effects), που μπορεί μονομερώς να επιτρέψει στην δημιουργηθείσα απο την συγχώνευση επιχειρηματική οντότητα να ανεβάσει σημαντικά τις τιμές.
Global research on syndemics: a meta-knowledge analysis (2001-2020)
Authors: Hossain Md Mahbub , Saha Nobonita , Rodela Tahmina Tasnim , Tasnim Samia , Nuzhath Tasmiah , Roy Tamal Joyti , Burdine James N. , Ahmed Helal Uddin , McKyer E. Lisako J. , Basu Banga Kamal , Ma Ping
Published: March 2022

Background: Syndemics or synergies of cooccurring epidemics are widely studied across health and social sciences in recent years.

Methods: We conducted a meta-knowledge analysis of articles published between 2001 to 2020 in this growing field of academic scholarship.

Results: We found a total of 830 articles authored by 3025 authors, mostly from high-income countries. Publications on syndemics are gradually increasing since 2003, with rapid development in 2013. Each article was cited more than 15 times on average, and most (n = 604) articles were original studies. Syndemics research focused on several areas, including HIV/AIDS, substance abuse, mental health, gender minority stressors, racism, violence, chronic physical and mental disorders, food insecurity, social determinants of health, and coronavirus disease 2019. Moreover, biopsychosocial interactions between multiple health problems were studied across medical, anthropological, public health, and other disciplines of science.

Conclusions: The limited yet rapidly evolving literature on syndemics informs transdisciplinary interests to understand complex coexisting health challenges in the context of systematic exclusion and structural violence in vulnerable populations. The findings also suggest applications of syndemic theory to evaluate clinical and public health problems, examine the socioecological dynamics of factors influencing health and wellbeing, and use the insights to alleviate health inequities in the intersections of synergistic epidemics and persistent contextual challenges for population health.
The meme as a digital liberating singularity in the context of the COVID-19 pandemic: an informational approach
Authors: Moya-Salazar Jeel , Chicoma-Flores Karina , Contreras-Pulache Hans
Published: March 2022

Unlike previous pandemics, the COVID-19 pandemic is unique in that, for the first time, social isolation is not isolation but a migration imperative. World 4.0, the digital society, has endowed people with a capacity for interconnectedness through using social networks for entertainment. In particular, stickers and memes, as founding grammars of discourses, narratives, ways of feeling, and imaginaries, can demonstrate, from an informational sociobiological approach, the phenomenon of memes in the COVID-19 pandemic. This article highlights the meme as a shock of laughter for the mind and body, becoming the phenomenon that has prevailed and strengthened throughout the pandemic. It proposes some reflections on the role of memes as a shock of personal enjoyment and reflection unveiling the contemporary social context. We present four moments of the memes during the pandemic, in the first the memes reflect the new emerging condition with subjectivities such as mockery, reduction, and denial. The second moment shows the unfathomable encounter between the person and the pandemic, where the panic in the meme turns into humour. The third moment shows the terror beginning to unravel. Here, the meme operates as a shocking power of laughter in epicconscious activity. In the fourth moment, the memes reflect the establishment of a new normal. The meme is already a vehicle for unexpected situations as a consequence of the pandemic phenomenon.
Performance of Link Adaptation in Narrow Band Internet of Things
Authors:   Department of Electrical and Electronics Engineering, Palestine Technical University Kadoorie, Palestine, Daraghma Raed S. M.
Published: March 2022

In present paper was aimed to study performance of link adaptation in NBIOT, which introduced by 3GPP in release 13 to function in mobile communications. The fundamental features of NB-IoT are its enlarged coverage, data rate, latency and battery lifetime compared to other cellular technologies. These features of NB-IoT manages it very beneficial in the IoT manufacturing, letting the technology to be hired in a vast domain of implementations, like health, smart cities, agriculture, WSNs. The main target of this study is to determine the performance of distinct characteristics of NB-IoT network with reasonable error rates in the uplink and the downlink connections. The performance of the several ways examined to decide their efficiency in relation to the requirements of the IoT industry. Software simulations were used to compare the distinct criteria settings to inspect which choices give better efficiency and cost trade-offs for constructing an NB-IoT network. The results show that data transmitted in smaller Transport Block Size (TBS) has fewer errors than if it has transmitted in greater blocks. Furthermore, the results offer that the error rate gets higher as the Doppler frequency increases in the propagation channel model. The results also show that the error rate gets higher as the modulation and coding scheme field (IMCS) increase.
Kushite Stamp Impressions from Selib 2, Sudan
Authors: Hajduga Roksana
Published: March 2022

More than two hundred sealings have been found since 2010 at Selib 2, a small Meroitic settlement in the Dongola Reach. This group come from the same context, in the S2/1/2010 storehouse and the most prominent building within the settlement. This paper focuses on selected impressions of thirty-one seals found on sealings and discusses them mainly in terms of iconography. Motifs from the sealings are both figural and non-figural. They reflect Meroitic beliefs, culture and politics. The catalogue and description of individual sealings, complete with photographs and drawings of stamp impressions, provide a firm base for preliminary observation regarding religion, symbols used by administrations and political propaganda, as well as allowing one to trace external influences and adaptation of foreign patterns.
Wall Paintings in Ancient Cyprus: The Hellenistic and Roman Tombs of Paphos and Its Region
Authors: Lysandrou Vasiliki , Michaelides Demetrios
Published: March 2022

This paper presents the wall paintings decorating a number of Hellenistic and Roman tombs, of various architectural types, in Paphos and the region. The paper gathers together for the first time all the known published and unpublished painted tombs of the city, which are studied on the basis of observations made on the actual decoration preserved either in situ or in the laboratory of the Paphos District Museum, and with the use of all pertinent publications. A catalogue of these tombs has been created and this is accompanied by a map with the geographic location of each example. The various themes represented on wall paintings have been divided into groups and are discussed accordingly, while the manufacturing technology of a sample of the wall paintings is examined using both non-contact and analytical tools.
Efficient Stochastic Programming in Julia
Authors: Biel Martin , Johansson Mikael
Published: March 2022

We present StochasticPrograms.jl, a user-friendly and powerful open-source framework for stochastic programming written in the Julia language. The framework includes both modeling tools and structure-exploiting optimization algorithms. Stochastic programming models can be efficiently formulated using an expressive syntax, and models can be instantiated, inspected, and analyzed interactively. The framework scales seamlessly to distributed environments. Small instances of a model can be run locally to ensure correctness, whereas larger instances are automatically distributed in a memory-efficient way onto supercomputers or clouds and solved using parallel optimization algorithms. These structure-exploiting solvers are based on variations of the classical L-shaped, progressive-hedging, and quasi-gradient algorithms. We provide a concise mathematical background for the various tools and constructs available in the framework along with code listings exemplifying their usage. Both software innovations related to the implementation of the framework and algorithmic innovations related to the structured solvers are highlighted. We conclude by demonstrating strong scaling properties of the distributed algorithms on numerical benchmarks in a multinode setup.

Summary of Contribution: This paper presents StochasticPrograms.jl, an open-source framework for stochastic programming implemented in the Julia programming language. The framework includes an expressive syntax for formulating stochastic programming models as well as versatile analysis tools and parallel optimization algorithms. The framework will prove useful to researchers, educators, and industrial users alike. Researchers will benefit from the readily extensible open-source framework, in which they can formulate complex stochastic models or quickly typeset and test novel optimization algorithms. Educators of stochastic programming will benefit from the clean and expressive syntax. Moreover, the framework supports analysis tools and stochastic programming constructs from classical theory and leading textbooks. We strongly believe that the StochasticPrograms.jl framework can reduce the barrier to entry for incoming practitioners of stochastic programming. Industrial practitioners can make use of StochasticPrograms.jl to rapidly formulate complex models, analyze small instances locally, and then run large-scale instances in production. In doing so, they get distributed capabilities for free without changing the code and access to well-tested state-of-the-art implementations of parallel structure-exploiting solvers. As the framework is open-source, anyone from these target audiences can contribute with new functionality to the framework. In conclusion, by providing both an intuitive interface for new users and an extensive development environment for expert users, StochasticPrograms.jl has strong potential to further the field of stochastic programming.
Hölderian Error Bounds and Kurdyka-Łojasiewicz Inequality for the Trust Region Subproblem
Authors: Jiang Rujun , Li Xudong
Published: March 2022

In this paper, we study the local variational geometry of the optimal solution set of the trust region subproblem (TRS), which minimizes a general, possibly nonconvex, quadratic function over the unit ball. Specifically, we demonstrate that a Hölderian error bound holds globally for the TRS with modulus 1/4, and the Kurdyka-Łojasiewicz (KL) inequality holds locally for the TRS with a KL exponent 3/4 at any optimal solution. We further prove that, unless in a special case, the Hölderian error bound modulus and the KL exponent is 1/2. Finally, as a byproduct, we further apply the obtained KL property to show that projected gradient methods studied elsewhere for solving the TRS achieve a local sublinear or even linear rate of convergence with probability 1 by choosing a proper initial point.
Painless Presentation of a Deadly Disease: Type A Aortic Dissection Requiring the Bentall Procedure
Authors: Noori Muhammad Atif Masood , Shah Kalpesh , Fichadiya Hardik , Adeosun Mofe , Jesani Shruti , Edmund Appiah-Kubi Edmund Appiah-Kubi , Saeed Hasham , Sherif Elkattawy Sherif Elkattawy , Joshi Meherwan
Published: March 2022

Aortic dissection is a relatively uncommon, although catastrophic, disease which requires early and accurate diagnosis and treatment for patient survival. Aortic dissection can be difficult to diagnose due to the diverse symptom presentation, which can lead to later diagnosis, resulting in a higher mortality rate. Here we present a case of type A aortic dissection with a varied symptom presentation, highlighting the importance of early detection and the Bentall procedure for management of such cases. A 50-year-old man with no known medical history presented with bilateral lower extremity swelling and fatigue for 2 weeks. The patient denied any chest pain or dyspnoea. Vital signs showed blood pressure of 160/76 mmHg, pulse of 103 bpm, respiratory rate of 18, and temperature of 36.7°C. Laboratory findings indicated a BNP of 1901 pg/ml and troponin of 0.5 ng/ml. An initial diagnosis of decompensated heart failure was made, and IV Lasix was started. Subsequently, an echocardiogram indicated an EF of 50–55% and ascending dissection of the aorta. A CT angiogram of the chest and abdomen confirmed this diagnosis. This patient presented with unusual symptoms of aortic dissection without the typical presentation of chest pain. It is important to consider aortic dissection in a cardiac-related case as prompt imaging can help confirm the diagnosis. We explore the risks and benefits of the Bentall procedure for the management and early detection of aortic dissection.
Learning Strategies In The Digital Era
Authors: Syaputra Adi , Hasanah Enung
Published: March 2022

Implementing learning is growing from a traditional face-to-face system to digital-based learning in the digital era. These changes create new problems for education actors, and they especially require digital adaptation capabilities that teachers must do quickly. This study aims to analyze learning strategies in the digital era, especially at 3 Tapung Junior High School, and reveal what factors influence the implementation of learning in the digital era. This research uses a case study method conducted at the school. The data was obtained by using the interview instrument with the teacher. The interviews showed that the school teachers still felt weaknesses in learning in the digital era. However, they overcome the teachers' various advantages and strategies. The teacher in the learning process applies them. In addition, teachers also take advantage of multiple platforms such as WhatsApp groups, google classroom, google meet, power points, and creative videos to increase student activity in learning to improve student learning outcomes in the digital era.
Strategy For Implementing Online Learning In Bengkulu
Authors: Sumarsih Sumarsih
Published: March 2022

The purpose of this study was to describe the strategy for implementing online learning at Public vocational secondary schools Bengkulu Utara Regency. This research is a qualitative descriptive study. The research subjects were the principal, teachers, and students. Data collection techniques using interviews and documentation. The results showed that online learning strategies were implemented using a variety of methods between meetings using zoom meetings, video calls. giving assignments via WhatsApp, PowerPoint, youtube, and giving weekly assignments. While the obstacles lack of motivation to learn, lack of discipline in doing assignments, lack of understanding of the material, high parental credit costs, internet network disruption. Solutions made by schools increase teacher knowledge through training, teacher group discussion forums.
Pengaruh Supervisi Kepala Sekolah Terhadap Kinerja Guru (Studi Kasus di SD Negeri Minahasa Utara )
Authors: Rawis Christine , Rawis Joulanda A.M , Wullur Mozes Markus , Rotty Viktory N. J
Published: March 2022

Penelitian ini bertujuan untuk memperjelas dampak pengawas sekolah terhadap kinerja guru khususnya pada guru sekolah dasar di suku Minahasa utara. Pengawasan utama merupakan bagian dari kegiatanpenjaminan mutu kegiatan ilmiah. Di bawah pengawasan kepala sekolah, guru dapat diinstruksikan untuk meningkatkan kualitas pembelajaran di sekolah. Penelitian ini bersifat deskriptif kualitatif dengan pendekatan kerja lapangan. Informan survei ini adalah 10 orang guru SD Negeri di Suku Minahasa Utara. Pengumpulan data, di gunakan teknik dokumentasi dan wawancara . Hasil survei guru SD di Minahasa Utara menunjukkan bahwa kunjungan sekolah yang dilakukan sudah terencana, sistematis, dan teratur. Tahap supervisi dilakukan dengan membentuk kelompok supervisi, setelah itu tim menetapkan tujuan supervisi, tujuan supervisi dan membuat peralatan supervisi. Kepala Sekolah SD Negeri Minahasa Utara melakukan pendekatan yang menarik: mengutamakan hubungan emosional dan menjaga keharmonisan. Dengan demikian, pengawasan utama SD Negeri Minahasa Utaraberpengaruh terhadap peningkatan pengetahuan dan keterampilan pendidikan, serta peningkatan kinerja pendidikan dalam pembangunan. Ringkasnya, supervisi kepala sekolah akan meningkatkan kinerja guru dan mempengaruhi kualitas pendidikan guru di kelas untuk meningkatkan dan mengembangkan pengetahuan dan keterampilan mereka secara berkelanjutan.
The Use of Natural Bee Products as Bioindicators of Environmental Pollution - The Detection of Heavy Metals
Authors: Popov Biljana Bogdanova , Hristova Vesna Karapetkovska - , Bogdanov Jane , Ahmed Elsayed Amr Ahmed , Stafilov Trajce , Ahmad M. Ayaz , I. Sakran Mohamed , Zidan Nahla , Mustafa Syed Khalid
Published: March 2022

Can be pollen used as a biological indicator of environmental pollution. So this work aims to determine some of the heavy metals such as Pb, Cr, Cd, Zn, and Cu in bee pollen from different areas in the Pelagonija region. The concentration of heavy metals in pollen depends on the geographical area, plants, and soil. And also, the composition of pollen varies with the source location, source plant, etc. The concentrations of transition metals copper (Cu), zinc (Zn), cadmium (Cd), and chromium (Cr) Lead (Pb) were measured by Gas Chromatography. The samples were collected from four different places, as well as a general picture of the phenomenology of the targeted sites, and accordingly obtained the ecological picture of the possible contamination. Also, the data of the composition of the soil were collected from the same locations, and are taken into consideration. Pollen collected by bees (Apis mellifera Мacedonica sub-species) is used as a bioindicator for further eco monitoring. The concentration of heavy metals contents in pollen is varies from sample to sample, due to the difference in the geographical area, various plants species, and soil. The composition of pollen varies with the source location, source plant, and handling. We have collected samples during the same season from the bee apiaries, located in industrial-urban and rural areas. The availability of heavy metals in plants depends on soil reaction, mineral colloids, soil humidity, microbiological activity, and organic matter content. Hence pollen can be used as a biological indicator of environmental pollution.
Synthesis of Ce3+ Doped with Cu-Zn Ferrite Nanoparticles and Study Structural, Morphological Properties
Authors: PATIL J. S PATIL J. S , Chanshetti U. B Chanshetti U. B , Pawar.C. B Pawar.C. B
Published: March 2022

Nanoparticles of Ce3+doped Cu0.5Zn0.5Cexfe2-xO4. (x = 0.0,0.025 to 0.10) samples prepared by using sol-gel auto combustion technique. This prepared sample sintering temperature is confirmed by TGA. The prepared samples sintered at 600 ℃ at 4 hrs. The prepared samples phase was confirmed by considering the XRD analysis technique. Structural parameter like lattice, porosity, density, length, etc., was measured with composition x by using XRD. The dopant concentration increases, the lattice constant in increases while crystallite size decreases. The surface morphology was confirmed by scanning electron microscopy (SEM). The Cu, Zn, Ce, Fe and O elements are existence in the composition confirmed by EDAX spectra. The cation distribution revealed that Zn2+ion primarily on tetrahedral-A sites, the octahedral-B site shows high preference to copper (II) and Ce (III) ions. Fe (III) ions are constantly distributed on both sites tetrahedral-A and octahedral-B sites. Indication of two vibrational spectra between 400 to 600cm-1 corresponding to the tetrahedral and octahedral sites occurs by the analysis of FT-IR.
Gadolinium and Thulium Doping to Perovskite Structured Strontium Titanates at Strontium and Titanium Sites
Authors: Ramanjeet Kaur Ramanjeet Kaur , Anand K Tyagi Anand K Tyagi
Published: March 2022

Low temperature sol gel novel technique has been employed, in the work here, to fabricate gadolinium and thulium doped strontium titanates with nominal composition; Sr1-aGdaTi1-bTmbO3-for various values of ‘a’ and ‘b’. The synthesized ceramics were cubic structured, phase pure, having well developed morphology and desired composition as revealed by XRD and FESEM/EDX characterization techniques. The electrical and dielectric properties of the prepared samples were studied and various parameters like dielectric constant, loss factor, a c conductivity etc. were determined. Furthermore, these properties enhance with gadolinium and thulium doping at strontium and titanium sites respectively.
Synthesis, Cytotoxicity, Molecular Docking, Molecular Simulation and ADME Properties of Cinnamoylated Chloroquine Hybrid Analogues as Corona Virus Protease Inhibitors
Authors: K. R. Jayanthi K. R. Jayanthi , K. Hemapriya K. Hemapriya , Ravi Subban
Published: March 2022

In an attempt to challenge COVID-19, molecular docking of cinnamoylated chloroquine compounds 1 – 15 against main protease (Mpro) enzyme of SARS-CoV-2 was undertaken. To study the stability of the complex formed between the drug and the receptor, suitable docking possesses were selected and put into molecular dynamics studies. Further ADME properties were determined using SWISS ADME software. In the docking studies compounds 5, 9, 14 and 15 exhibited encouragable binding with the Mpro crystal structure with docking scores of -8.1, -7.9, -7.8 and -7.9 Kcal/mole respectively. It was observed that CYS145 and GLU166 played a significant role during the interaction of molecules with the active site of COVID-19 Mpro. Among compounds 5, 9, 14 and 15, compound 5 had stable interactions with the protein, which might be the reason for the optimum RMSD, RMSF, radius of gyration and protein–ligand contacts (hydrogen bonding) values. The compound 5 was synthesised and tested for its cytotoxic activity against fibroblast L929 cell line. The above study indicated that the compound 5as a promising agent, and during the drug discovery process it could be taken as a starting point for lead optimization.
Pre-stages of the Formation of Ge3N4 on the Surface of Syngle-crystal Germanium in Hydrazine Vapors
Authors: Nakhutsrishvili Irakli , Kokhreidze Revaz , Kakhniashvili Giorgi
Published: March 2022

The interaction of hydrazine vapors with single-crystal germanium was studied by using the thermogravimetric method. The article considers the processes taking place on the surface of Ge up to the formation of Ge3N4 nitride, in particular, the accumulation of N2H4+H2O vapors and their etching with water vapor contained in hydrazine.
Learning styles and confidence at a national ENT induction
Authors: Patel KR , Amos D , Tolley N
Published: March 2022

How can adapting to different learning styles increase confidence in trainees?
Free flap breast reconstruction in the UK: are we meeting demand?
Authors: Begaj A , Marlborough F , Allison KP
Published: March 2022

INTRODUCTION

The demand for free flap breast reconstruction appears to be increasing. The aim of this study was to evaluate the capacity for microsurgical breast reconstruction across the UK and compare this with the apparent demand to inform future workforce planning.

METHODS

A questionnaire was sent to all 56 plastic surgery units in the UK to establish whether they performed reconstructive breast surgery, the number of free flaps they performed each year and what issues they were encountering in meeting the demand. The unit response rate was 93%.

RESULTS

Current workforce planning figures show that there are 161 consultant plastic surgeons who perform free tissue breast reconstruction. Across the UK, the total number of extra breast reconstructive surgeons felt to be needed was 78. The mean number of free flaps performed per surgeon each year was 20. Respondents suggested that they felt that 20 free flaps was a suitable number to maintain their skills. Two-thirds (66%) of the respondents reported issues impairing delivery of their free flap service with access to theatre (41%) and inability to meet the demand (18%) as the two key reasons.

CONCLUSIONS

Our results show that there is a demand for microsurgical breast reconstruction that is not being fully met. It is hoped that this survey will add to the evidence base that plastic surgeons remain an integral part of the care of many breast cancer patients and that it will encourage trainees to consider breast microsurgery as their subspecialty of choice.
Instrumental in education and information
Authors: Hogan Corinne
Published: March 2022

The Library team give us an overview of the all–new Library and the services available to fellows, members and all RCS England staff.
Correlation-based view registration for 3D tomography
Authors: Chen Haiyan , Ling Chen , Wu Yue , Gao Yu , Li Yikai
Published: March 2022

This study reports a new, to the best of our knowledge, view registration method that can achieve high-quality tomographic reconstruction in spite of a large view registration (VR) error. The correlation-based view registration (CBVR) method is a directional orientation modification method based on the cross-correlation between measured projections and ray-tracings generated from the reconstruction, which can reduce the gross VR error to moderate levels by iterations. In the CBVR method, a traditional multi-camera VR process is first performed, based on the sensitivity of the projections to the VR error, and are evaluated and quantified for all cameras. Afterward, the orientation of each camera is iteratively updated based on the cross-correlation of the measured projections and the ray-tracings generated from the reconstruction calculated through all other cameras. The CBVR is consecutively validated by numerical and experimental studies. Through a numerical study on a controlled phantom introduced with 2% Gaussian noise, the CBVR method is proved to be able to reduce the large VR error (up to 4.8°) to 0.2° as well as to reduce the reconstruction error to∼6.7%in 12 rounds of iterations, which is very close to that obtained without any VR error (6% caused by Gaussian noise only). The CBVR method is then demonstrated and validated by reconstructing a two-branch laminar flame. By implementing the method, the initial projection orientations are optimized from traditional multi-camera VR results within a range of±3∘, leading to effectively improved tomographic reconstruction of flame chemiluminescence distribution.
Mask configurable readout circuit architecture for an ultra-high-resolution CMOS image sensor
Authors: Nie Kaiming , Liu Jingheng , Wang Dejian , Xu Jiangtao , Yang Zhengxu , Gao Zhiyuan
Published: March 2022

As the level of detail in today’s images increases, so does the demand
for resolution. Due to the necessity of mask stitching technology for
full exposure of large array chips, we propose a mask configurable
readout circuit architecture, which is suitable for large array
structures. However, the stitchable readout circuit architecture has
some non-ideal effects: row driver function failure and the column
non-consistency problem. In our design, we solve the problem of column
non-consistency after stitching. At the same time, we changed the
signal transmission structure in order to avoid the row driver
function failure caused by the mask stitching. In this paper, a
prototype

2130
×
2130

CMOS image sensor is fabricated in
0.11 µm CMOS technology. The chip can capture images at 20 fps and
reduce fixed pattern noise (FPN) from 3.5% to 1.5% through correction
techniques. The architecture proposed in this paper is suitable for
large array image sensors.
Phase-locking dynamics of a 2D VCSEL hexagonal array with an integrated Talbot cavity
Authors: Ma Yanhong , Lan Tian , Wang Xiaofan , Ruan Renjie , Cao Yinhua , Dai Jingjing , Wang Zhiyong
Published: March 2022

In this paper, phase-locking dynamics of 2D VCSEL hexagonal array with an integrated Talbot cavity are numerically investigated based on rate equations aiming at achieving high brightness output. The processes of wavelength synchronization and phase locking under different fill factors ff and fractional Talbot cavity lengths L were addressed comprehensively. Different supermodes of phase-locked VCSEL array were then analyzed from both near-field and far-field pattern, and proved to be well matched with the results of coupled-mode theory. With appropriate configuration the Talbot-VCSEL system can operate in a full in-phase mode eventually, which is beneficial for determining the parameter interval corresponding to the most expected single narrow-lobe far-field pattern. Furthermore, the simulation results also indicate that, considering the parametric interactions the distribution of optical feedback from the fractional Talbot cavity should be consistent as much as possible to facilitate the realization of phase-locked state. Our study could provide a theoretical support to obtain the full in-phase coupled VCSEL array with high performance.
Distributed vibration sensor based on mode coupling in weakly coupled few-mode fibers
Authors: Jia Junchi , Cui Jian , Zhang Jiarui , Zuo Mingqing , Gao Yuyang , Chen Zhangyuan , He Yongqi , Li Juhao
Published: March 2022

In recent years, optical fiber distributed vibration sensors (DVSs) have received extensive investigation and play a significant role in different applications, such as structural health monitoring. In this Letter, we propose for the first time, to the best of our knowledge, a DVS mechanism based on linearly polarized mode coupling in weakly coupled few-mode fibers (FMFs), in which dynamic transverse stress induced by external vibration is measured with quantifiable and spatially resolvable mode coupling along the sensing FMF with ultralow inherent modal crosstalk. A swept-wavelength interferometer method is implemented and the involved data processing method is designed. A proof-of-concept DVS system is established and 5 Hz to 49 kHz frequency response, –50 dB detection sensitivity, and 22 m spatial resolution are successfully demonstrated based on a 9.6 km weakly coupled two-mode fiber. The wide frequency response over a long sensing length for the proposed scheme may extend the application range of DVS systems.
Noncolinear optical parametric oscillator for broadband nanosecond pulse-burst CARS diagnostics in gases
Authors: Jans Elijah R. , Armstrong Darrell J. , Smith Arlee V. , Kearney Sean P.
Published: March 2022

Demonstration of broadband nanosecond coherent anti-Stokes Raman scattering (CARS) using a burst-mode-pumped noncolinear optical parametric oscillator (NOPO) has been achieved at a pulse repetition rate of 40 kHz. The NOPO is pumped with the 355-nm output of a burst-mode Nd:YAG laser at 50 mJ/pulse for 45 pulses and produces an output centered near 607 nm, with a bandwidth of 370 cm−1 at energies of 5 mJ/pulse. A planar BOXCARS phase matching scheme uses the broadband NOPO output as the Stokes beam and the narrowband 532-nm burst-mode output for the two CARS pump beams for single-laser-shot nitrogen thermometry in near adiabatic H2/air flames at temperatures up to 2200 K.
Emerging devices and packaging strategies for electronic-photonic AI accelerators: opinion
Authors: Peserico Nicola , Ferreira de Lima Thomas , Prucnal Paul , Sorger Volker J.
Published: March 2022

The field of mimicking the structure of the brain on a chip is experiencing interest driven by the demand for machine intelligent applications. However, the power consumption and available performance of machine-learning (ML) accelerating hardware still leave much desire for improvement. In this letter, we share viewpoints, challenges, and prospects of electronic-photonic neural network (NN) accelerators. Combining electronics with photonics offers synergistic co-design strategies for high-performance AI Application-specific integrated circuits (ASICs) and systems. Taking advantages of photonic signal processing capabilities and combining them with electronic logic control and data storage is an emerging prospect. However, the optical component library leaves much to be desired and is challenged by the enormous size of photonic devices. Within this context, we will review the emerging electro-optic materials, functional devices, and systems packaging strategies that, when realized, provide significant performance gains and fuel the ongoing AI revolution, leading to a stand-alone photonics-inside AI ASIC ‘black-box’ for streamlined plug-and-play board integration in future AI processors.
Integrating services for HIV and multidrug-resistant tuberculosis: A global cross-sectional survey among ART clinics in low- and middle-income countries
Authors: Zürcher Kathrin , Cox Samyra R. , Ballif Marie , Enane Leslie A. , Marcy Olivier , Yotebieng Marcel , Reubenson Gary , Imsanguan Worarat , Otero Larissa , Suryavanshi Nishi , Duda Stephany N. , Egger Matthias , Tornheim Jeffrey A. , Fenner Lukas ,   International Epidemiology Databases to Evaluate AIDS (IeDEA)
Published: March 2022

Tuberculosis (TB) is the leading cause of death among PLHIV and multidrug-resistant-TB (MDR-TB) is associated with high mortality. We examined the management for adult PLHIV coinfected with MDR-TB at ART clinics in lower income countries. Between 2019 and 2020, we conducted a cross-sectional survey at 29 ART clinics in high TB burden countries within the global IeDEA network. We used structured questionnaires to collect clinic-level data on the TB and HIV services and the availability of diagnostic tools and treatment for MDR-TB. Of 29 ART clinics, 25 (86%) were in urban areas and 19 (66%) were tertiary care clinics. Integrated HIV-TB services were reported at 25 (86%) ART clinics for pan-susceptible TB, and 14 (48%) clinics reported full MDR-TB services on-site, i.e. drug susceptibility testing [DST] and MDR-TB treatment. Some form of DST was available on-site at 22 (76%) clinics, while the remainder referred testing off-site. On-site DST for second-line drugs was available at 9 (31%) clinics. MDR-TB treatment was delivered on-site at 15 (52%) clinics, with 10 individualizing treatment based on DST results and five using standardized regimens alone. Bedaquiline was routinely available at 5 (17%) clinics and delamanid at 3 (10%) clinics. Although most ART clinics reported having integrated HIV and TB services, few had fully integrated MDR-TB services. There is a continued need for increased access to diagnostic and treatment options for MDR-TB patients and better integration of MDR-TB services into the HIV care continuum.
Nurturing compassion in schools: A randomized controlled trial of the effectiveness of a Compassionate Mind Training program for teachers
Authors: Matos Marcela , Albuquerque Isabel , Galhardo Ana , Cunha Marina , Pedroso Lima Margarida , Palmeira Lara , Petrocchi Nicola , McEwan Kirsten , Maratos Frances A. , Gilbert Paul
Published: March 2022

Objectives

Schools are experiencing an unprecedented mental health crisis, with teachers reporting high levels of stress and burnout, which has adverse consequences to their mental and physical health. Addressing mental and physical health problems and promoting wellbeing in educational settings is thus a global priority. This study investigated the feasibility and effectiveness of an 8-week Compassionate Mind Training program for Teachers (CMT-T) on indicators of psychological and physiological wellbeing.

Methods

A pragmatic randomized controlled study with a stepped-wedge design was conducted in a sample of 155 public school teachers, who were randomized to CMT-T (n= 80) or a waitlist control group (WLC;n= 75). Participants completed self-report measures of psychological distress, burnout, overall and professional wellbeing, compassion and self-criticism at baseline, post-intervention, and 3-months follow-up. In a sub-sample (CMT-T,n= 51; WLCn= 36) resting heart-rate variability (HRV) was measured at baseline and post-intervention.

Results

CMT-T was feasible and effective. Compared to the WLC, the CMT-T group showed improvements in self-compassion, compassion to others, positive affect, and HRV as well as reductions in fears of compassion, anxiety and depression. WLC participants who received CMT-T revealed additional improvements in compassion for others and from others, and satisfaction with professional life, along with decreases in burnout and stress. Teachers scoring higher in self-criticism at baseline revealed greater improvements post CMT-T. At 3-month follow-up improvements were retained.

Conclusions

CMT-T shows promise as a compassion-focused intervention for enhancing compassion, wellbeing and reducing psychophysiological distress in teachers, contributing to nurturing compassionate, prosocial and resilient educational environments. Given its favourable and sustainable effects on wellbeing and psychophysiological distress, and low cost to deliver, broader implementation and dissemination of CMT-T is encouraged.