bluuebunny/crossref_metadata_2025 huggingface dataset:
Inhibition of the medial amygdala disrupts escalated aggression in lactating female mice after repeated exposure to male intruders
Authors: Abellán-Álvaro María , Martinez-Garcia Ferran , Lanuza Enrique , Agustin-Pavon Carmen
Published: March 2022

Virgin female laboratory mice readily express maternal care when co-housed with dams and pups. However, pup-sensitized virgins fail to express maternal aggression on a single session of testing. To study whether repeated testing would affect the onset and dynamics of maternal aggression we tested dams and their accompanying virgins from postpartum day 4 to 6. Repeated testing led to escalated aggression towards male intruders in dams, but virgins never developed aggression. In dams, inhibition of the medial amygdala using DREADD (designer receptors exclusively activated by designer drugs) vectors carrying the hM4Di receptor blocked the expected increase in maternal aggression on the second testing day. Our data support that the onset of maternal aggression is linked to physiological changes occurring during motherhood, and that medial amygdala, a key centre integrating vomeronasal, olfactory and hormonal information, enables the expression of escalated aggression induced by repeated testing.
Preparation and characterization of the poplar micro-nano cellulose sustainable carbon spheres
Authors: HAO Sufen , ZHANG Qian , GUO Qiang , Yu WANG , Pingping LI , Huang Jintian
Published: March 2022

Cellulose extracted from the factory waste poplar, converted into value-added carbon spheres by hydrothermal carbonization (HTC). Oxygen-rich functional group carbon spheres with smooth morphology, good dispersibility, controllable particle size, high carbon content and high calorific value were prepared under different process conditions. The optimum process conditions for obtaining good shape are temperature 250℃, time 12h, and cellulose dosage 1g. Under these conditions, the produced carbon microspheres have smooth surface, high dispersion and uniform particles. FTIR, XPS and elemental analysis indicated that the carbon content was as high as ~ 75% with increasing temperature and time, and the theoretically calculated HHV was 29.4 MJ/kg. The H/C and O/C ratios are quite different relative to the raw materials, demonstrating that cellulose undergoes dehydration, decarboxylation and demethylation during hydrothermal carbonization to form carbon microspheres with oxygen-rich functional groups. The carbon materials were analyzed by BET, TG, Raman and XRD, which further proved that the carbon microspheres are high-concentration aromatized amorphous non-porous carbon materials.
Tracking the impact of COVID-19 and lockdown policy on public mental health using social media
Authors: Li Minghui , Hua Yining , Liao Yanhui , Zhou Li , Li Xue , Wang Ling , Yang Jie
Published: March 2022

The COVID-19 pandemic and its corresponding preventive and control measures have increased the mental burden on the public. Social media serve as important platforms to timely track public mental status. In this study, we conducted social-media-based analyses on temporal, geographical and occupational distributions of public mental health status during the pandemic, and how the public reacted to the lock-down policy from the perspective of mental health. We extracted 2,973,319 mental health-related tweets of 1,778,140 users from February 1, 2020 to September 30, 2021. We found that, compared to the general public, healthcare workers had higher concerns on three types of mental health problems (depression, insomnia, addiction) (P<0.001) and focused more on clinical topics while the public worried more about daily life issues. The lockdown policy in New York was correlated with a proportional decrease of mental health-related tweets, while Florida had an opposite correlation (both P<0.05). Our findings indicated that the mental burden brought by the pandemic varied across occupations and locations and changed over time.
The Urban Hydraulic Systems of Bijapur - A Historic Appraisal
Authors: Valliyil Govindankutty
Published: March 2022

The city of Bijapur is located in the dry Deccan region of India, yet ensured 24x7 water supply to its citizens be it for agricultural or domestic use during the 14th to 18th centuries under the Bahmani and Adil-Shahi Dynasty. Two unique urban water systems the Kharejari and Muhammed Nada accompanied by several cisterns made it possible to populate and develop a city in the semi-arid region of India. Watershed management techniques were applied to ensure the sustainability of these water systems. Though, in ruins provides water for irrigation and domestic use even today. Extensive ground surveys were carried out to record every segment using a mobile-based mapping application and handheld navigation device. Satellite data, topographical maps, historic maps and literature reviews aided in linking up all segments to prepare the first complete map of the Kharejari and Muhammed Nada water systems. Bijapur, a heritage city of Karnataka State, has undergone unplanned organic urban growth coupled with a lack of awareness, understanding, conservation practices and appropriate implementation of existing policies have resulted in an unsustainable geophysical alteration of the fragile hydraulic landscape affecting these unique water systems. This paper discusses the intricate details of the historic water systems of Bijapur and discusses the challenges in conserving them as national heritage.
A spatiotemporal ensemble machine learning framework for generating land use / land cover time-series maps for Europe (2000 – 2019) based on LUCAS, CORINE and GLAD Landsat
Authors: Witjes Martijn , Parente Leandro , Diemen Chris J. van , Hengl Tomislav , Landa Martin , Brodsky Lukas , Halounova Lena , Krizan Josip , Antonic Luka , Ilie Codrina M , Craciunescu Vasile , Kilibarda Milan , Antonijevic Ognjen , Glusica Luka
Published: March 2022

A seamless spatiotemporal machine learning framework for automated prediction and analysis of long-term Land Use / Land Cover dynamics is presented. The framework includes: (1) harmonization and preprocessing of high-resolution spatial and spatiotemporal input datasets (GLAD Landsat, NPP/VIIRS) including 5 million harmonized LUCAS and CORINE Land Cover-derived training samples, (2) model building based on spatial k-fold cross-validation and hyper-parameter optimization, (3) prediction of the most probable class, class probabilities and model variance of predicted probabilities per pixel, (4) LULC change analysis on time-series of produced maps. The spatiotemporal ensemble model consists of a random forest, gradient boosted tree classifier, and an artificial neural network, with a logistic regressor as meta-learner. The results show that the most important variables for mapping LULC in Europe are: seasonal aggregates of Landsat green and near-infrared bands, multiple Landsat-derived spectral indices, long-term surface water probability, and elevation. Spatial cross-validation of the model indicates consistent performance across multiple years with overall accuracy (a weighted F1-score) of 0.49, 0.63, and 0.83 when predicting 43 (level-3), 14 (level-2), and 5 classes (level-1). The spatiotemporal model outperforms spatial models on known-year classification by 2.7% and unknown-year classification by 3.5%. Results of the accuracy assessment using 48,365 independent test samples shows 87% match with the validation points. Results of time-series analysis (time-series of LULC probabilities and NDVI images) suggest forest loss in large parts of Sweden, the Alps, and Scotland.Positive and negative trends in NDVI in general match the land degradation and land restoration classes, with “urbanization” showing the most negative NDVI trend. An advantage of using spatiotemporal ML is that the fitted model can be used to predict LULC in years that were not included in its training dataset,allowing generalization to past and future periods, e.g. to predict LULC for years prior to 2000 and beyond 2020. The generated LULC time-series data stack (ODSE-LULC), including the training points, is publicly available via the ODSE Viewer. Functions used to prepare data and run modeling are available via the eumap library for python.
Universe: the dynamics of the minimum and maximum expansion states
Authors: Petrakis Sócrates Georges
Published: March 2022

Two proposals stand out in describing the evolution of the Universe; the predominant one predicts that the expansion began at a certain instant and will not preserve a variation of energy that performs work; flat Universe (Ω = 1) is advocated by relativistic calculations and observational data, with an end at its maximum expansion (3D Space); the other proposal considers that the Universe is cyclical, always alternating phases of expansion and contraction. This article aims to demonstration that these two perspectives can be correct by not being distinct, but complementary. Supported by the immutability of physical laws, analyses of concepts define an exclusive presence of 1D Space in static states of minimum and maximum expansion of the Universe. With our Universe (3D Space) created and existing between these extreme states, each dynamic is highlighted and completes the usual relativity. The concept of absolute rest energy (1D Space) become applicable; thus, the complete evolution of the Universe is described as spatially dynamic in a perpetual time dimension, always recreating our Universe, and making possible a relative maintenance of any existence.
Yetişkinlerin Yöresel Yemeklere İlişkin Görüşleri: Bolu ve Gaziantep Örneği (Adults Perceptions on Local Dishes: The Example of Bolu and Gaziantep)
Authors: Sağ Çağrınur , Kaymakcı Selahattin
Published: March 2022

Türkiye yöresel yemek bakımından hatırı sayılır bir çeşide sahip olmakla birlikte yemekler bölge ve şehirlere göre farklılaşmaktadır. Somut olmayan kültürel miras ögeleri içerisinde değerlendirilen yöresel yemekler ait oldukları ilin/ilçenin tanıtımına katkı sağlamaktadır. Bu araştırmanın amacı yetişkinlerin bulundukları il/ilçeye ait yöresel yemeklere ilişkin görüşlerini ortaya koymaktır. Nitel araştırma desenlerinden olgu bilim yönteminin kullanıldığı araştırmanın çalışma grubunu Bolu ve Gaziantep illerinde ikamet eden toplam 52 yetişkin oluşturmaktadır. Araştırmada veri toplama aracı olarak araştırmacılar tarafından geliştirilen tam yapılandırılmış görüşme formu kullanılmış, toplanan veriler içerik analizi ile çözümlenmiştir. Araştırma sonucunda katılımcıların yaşadıkları il/ilçeye ait yöresel yemeklere ilişkin farkındalıklarının bulunduğu ve yöresel yemekleri çeşitlendirebildikleri ortaya çıkmıştır. Bununla birlikte katılımcıların yöresel yemeklerin isimlendirmesiyle ilgili bildikleri hikâyelerin sınırlı sayıda ve nitelikte olduğu tespit edilmiştir. Özel günlerde yapılan yöresel yemeklere ilişkin ise her iki ilin katılımcıları da kendi yaşadıkları yere ait yöresel yemekleri sıralamış olup özel günlerde yapılan yemeklerin kültürel aktarım görevine dikkat çekmişlerdir. Ayrıca yöresel yemeklerin yapılışında ve sunumunda birtakım değişikliklerin olduğunu da belirtmişlerdir. Öte yandan Bolu ilindeki katılımcılar yöresel yemeklerin yeterince tanıtımının yapılmadığını savunurken, Gaziantep ilindeki katılımcıların yöresel yemeklerin tanıtımının yeterince yapıldığını ileri sürmüşlerdir. Yöresel yemeklerin yaşatılması ve gelecek nesillere aktarımı bağlamında ise katılımcılar, yöresel yemeklerin tanıtımının nitelikli bir şekilde yapılması ile özel gün ve kültürel organizasyonlarda yöresel yemeklere yer verilmesi gibi hususlara vurgu yapmışlardır.
Turistik Mekanlara Yönelik Sosyal Medya Paylaşımlarının Yapay Zekâ Yöntemleriyle Değerlendirilmesi: Artvin İli Örneği (Evaluation of Social Media Posts for Touristic Places with Artificial Intelligence Methods: The Case of Artvin Province)
Authors: Aksu Muhammed Çağrı , Karaman Ersin
Published: March 2022

Sosyal medya günümüzde birçok alanda olduğu gibi turizm alanında da kullanılmakta ve bu kullanım neticesinde büyük miktarda veri açığa çıkmaktadır. Bu veriler hem turizm tüketicileri için hem de turizm yöneticileri için yararlı bilgiler içermektedirler. Ancak sosyal medya paylaşımlarının farklı türlerde veriler içermesi bu verileri analiz etmeyi ve verilerden anlamlı bilgiler elde etmeyi zorlaştırmaktadır. Bu bilgi keşfi süreci için geleneksel analiz yöntemlerinin ötesinde yöntemlere ihtiyaç duyulmaktadır. Bu çalışmada turistlerin ziyaret ettikleri yerlere ilişkin sosyal medya ortamında paylaştıkları yorumlar ve fotoğraflar üzerinde duygu durumu tespiti yapmak amaçlanmıştır. Duygu durumu tespiti için metin verileri üzerinde destek vektör makineleri algoritması, fotoğraf verilerinde ise evrişimli sinir ağları kullanılmıştır. Çalışmada ele alınan verilerin analizi için duygu analizi, konu modelleme analizi, trend analizi ve korelasyon analizi kullanılmıştır. Gerçekleştirilen analizler neticesinde çalışmanın uygulama alanını ziyaret eden ziyaretçilerin duygu durumları, duygu durumlarının zamana göre değişimi, memnun oldukları ve memnun olmadıkları konular tespit edilmiş, elde edilen bulgular yol ve hava durumu gibi dışsal verilerle ilişkilendirerek doğrulanmıştır. Bu çalışma ile turizm işletmesi yöneticileri ve politika geliştiricilere örnek bir çalışma yanında bir değerlendirme yaklaşımı da sunulmuştur.
Metaverse Teknolojisinin Otel Sektörünün Geleceğine Etkileri Üzerine Bir İnceleme (An Investigation Into the Impact of Metaverse Technology on The Hotel Industry s Future)
Authors: Demir Çağla
Published: March 2022

Metaverse teknolojisi, birçok uluslararası şirketin ilgisini çeken, bir sonraki internet devrimi olacağı öngörülen bir teknoloji olarak karşımıza çıkmaktadır. Bloomberg Intelligence raporuna göre; metaverse pazarının 2024 yılına kadar 800 milyon dolara ulaşmasının beklendiği belirtilmektedir. ‘Meta’ ve ‘Universe’ kelimelerinin birleşiminden oluşan metaverse kavramı ‘sanal evren’olarak tanımlanmaktadır. Kavram otel sektöründe ise karşımıza ‘Metahotels’ olarak çıkmaktadır. Metahotels, insanların oluşturdukları avatarları ile evlerinden sanal bir ortam içerisinde kişiselleştirilmiş deneyimler hissedebilecekleri dijital oteller olarak ifade edilmektedir. Yapılan literatür taraması doğrultusunda, uluslararası otellerin bazılarının bu yeni teknolojiye adapte olmak için adım attıkları bilinmektedir. Otel sektörü açısından, gelir artışı, marka sadakati ve kişiselleştirilmiş misafir deneyimine önemli etki göstereceği beklenmektedir. Metaverse evrenine dahil olan ve kripto para birimini kabul eden otellerin lüks otel segmentinde yer aldıkları görülmektedir. Araştırmalar, metaverse teknolojisinin Baby Boomers ve X kuşağı’ndan ziyade, Y ve Z kuşağı kişilere daha çok hitap edeceğini ortaya koymaktadır. Bu çalışmada, otel sektörüne bu yeni teknolojinin sağlayabileceği olası etkilerden bahsederek bir öngörü sunulması hedeflenmektedir. Değişen misafir beklentilerini karşılayabilen ve onlara hizmet alternatifleri sunabilen otel işletmelerinin daha tercih edilebilir olacağı ve bu durumunda ancak teknolojiye uyumla gerçekleşebileceği öngörülmektedir.
Job Stress and Turnover Intention in The Hotel Employees
Authors: Akdemir M. Alper , Sağbaş Murat , Sürücü Lütfi
Published: March 2022

This research aimed to determine the moderating role of gender on job stress and turnover intention for the hotel employees. For this purpose, a questionnaire was applied to 271 hotel employees. Statistical analyzes were made with “SPSS 23 for Windows” and AMOS-18 programs. In order to determine the moderating role of gender in job stress and turnover intention, data were separated by gender and regression analyzes were performed. In the light of the findings obtained; it has been determined that job stress has a positive effect on turnover intention and gender has a moderating role in the effect of job stress on turnover intention. It is envisaged that the research can contribute to the existing literature in addition to the results of previous studies.
Analysis of Fine Dining Restaurant Reviews for Perception of Customers Restaurant Service Quality
Authors: Aktaş Polat Semra
Published: March 2022

The purpose of this study is to model the perception of customers’ service quality in fine dining restaurants (FDRs) and to determine customer sentiments towards the service quality. I analyzed 22,104 reviews of 25 restaurants on TripAdvisor through Aspect-Based Sentiment Analysis (ABSA). In terms of n-gram language models, the classification performance of sentiment polarity was tested with Support Vector Machine (SVM), Naive Bayes (NB), C4.5, and Gradient Boosted Trees (GBT). I compared the performance of the model with Cohen’s kappa, accuracy, precision, recall, and F-measure results. I found five topic models service, experience, surprise, taste, and food kind by using latent Dirichlet allocation (LDA). In sentiment classification, SVM achieved the best results in bigram with 74.5% average F-measure, 94.4% accuracy, and 49.2% kappa results. This study contributes to the elements related to the perception of service quality in FDRs with psychological quality proposed by the surprise topic. This is one of the few studies conducted with ABSA on the perception of service quality in FDRs, and it is the first study examining the issue in terms of n-gram language models.
Composition-dependent thermal equation of state of B2 Fe-Si alloys at high pressure
Authors: Yokoo Shunpei , Edmund Eric , Morard Guillaume , Baron Marzena Anna , Boccato Silvia , Decremps Frédéric , Hirose Kei , Pakhomova Anna , Antonangeli Daniele
Published: March 2022

Solid iron-silicon alloys play an important role in planetary cores, especially for planets that formed under reducing conditions, such as Mercury. The CsCl (B2) structure occupies a considerable portion of the Fe-Si binary phase diagram at pressure and temperature conditions relevant for the core of Mercury, yet its thermodynamic and thermoelastic properties are poorly known. Here, we report in situ X-ray diffraction measurements on iron-silicon alloys with 7–30 wt% Si performed in laser-heated diamond-anvil cells up to ~120 GPa and ~3000 K. Unit-cell volumes of the B2 phase at high pressures and high temperatures have been used to obtain a composition-dependent thermal equation of state of this phase. In turn, the thermal equation of state is exploited to determine the composition of the B2 phase in hcp+B2 mixtures at 30–100 GPa and to place constraints on the hcp+B2/B2 phase boundary, determined to vary between ~13–18 wt% Si in the considered pressure and temperature range. The hcp+B2/B2 boundary of Fe-Si alloys is observed to be dependent on pressure but weakly dependent on temperature. Our results, coupled with literature data on liquid equations of state, yield an estimation of the density contrast between B2 solid and liquid under Mercury’s core conditions, which directly relates to the buoyancy of the crystallizing material. While the density contrast may be large enough to form a solid inner core by the gravitational sinking of B2 alloys in a Si-rich core, the density of the B2 solid is close to that of the liquid at solidus conditions for Si concentration approaching ~10 wt% Si.
Chemical reaction between ferropericlase (Mg,Fe)O and water under high pressure-temperature conditions of the deep lower mantle
Authors: Yang Ziqiang , Yuan Hongsheng , Liu Lu , Giordano Nico , Chen Yongjin , Zhang Li
Published: March 2022

The presence of water may contribute to compositional heterogeneities observed in the deep lower mantle. Mg-rich ferropericlase (Fp) (Mg,Fe)O in the rock-salt structure is the second most abundant phase in a pyrolitic lower mantle model. To constrain water storage in the deep lower mantle, experiments on the chemical reaction between (Mg,Fe)O and H2O were performed in a laser-heated diamond-anvil cell at 95–121 GPa and 2000–2250 K, and the run products were characterized combining in situ synchrotron X-ray diffraction measurements with ex-situ chemical analysis on the recovered samples. The pyrite-structured phase FeO2Hx (x ≤ 1, Py-phase) containing a negligible amount of Mg (<1 at%) was formed at the expense of iron content in the Fp-phase through the reaction between (Mg,Fe)O and H2O, thus serving as water storage in the deepest lower mantle. The formation and segregation of nearly Mg-free Py-phase to the base of the lower mantle might provide a new insight into the deep oxygen and hydrogen cycles.
The severity of endothelial dysfunction, oxidative stress, lipid metabolism disorders, decreased elastic properties and tone of peripheral vessels in patients with different POAG course variants, depending on the polymorphism of the genes of the biological clock
Authors: Filippova Yu. E. , Malishevskaya T. N. , Kolomeichuk S. N. , Gubin D. G. , Vlasova A. S.
Published: March 2022

The purpose is to find out the relations of the vascular endothelium dysfunction, atherosclerotic damage to the vessels of the upper and lower limbs, the state of the antioxidant and prooxidant systems, and the lipid profile in patients with different POAG course — carriers of biological clock gene polymorphism.Materials and methods. 47 patients with advanced POAG underwent an examination that included visometry, biomicroscopy, ophthalmoscopy, perimetry, tonometry, thermometry, as well as determination of lipid metabolism, indicators of oxidative stress and antioxidant system. All patients were also tested for the degree of endothelial dysfunction by reactive hyperemia method, and the elastic properties and vascular wall tone by the volumetric sphygmomanometry method. POAG progression was determined by static automated perimetry and optical coherence tomography. The hospitalized patients were examined for daily melatonin profile and key biological clock genes typed by real-time polymerase chain reaction. The genetic material was taken by buccal scraping. Polymorphic variants were identified for CLOCK rs1801260 3111T/C and MTNR1B genes. 16 patients (S-POAG — 8, A-POAG — 8) were tested for melatonin taken from saliva samples at different times of the day in laboratory conditions with controlled nutrition and lighting using the DLMO protocol.Results. The predictors of glaucoma progression were found to be pronounced endothelial dysfunction and oxidative stress, which contribute to the acceleration of atherogenesis and a decrease in the elastic properties of the vascular wall of peripheral vessels. Clock 3111t-c circadian gene polymorphism was found to be interrelated with lipid metabolism disorders and increased lipid peroxidation in patients with POAG progression. Carriers of the G allele of the MTNR1B gene tend to have a higher level of triglyceride (TG) which grows in the evening hours if glaucoma is progressing. We showed that the phasal and amplitude characteristics of daily melatonin level, rather than its average level, may affect the state of the vascular wall of peripheral vessels in POAG patients.Conclusion. POAG progression is associated with pronounced oxidative stress, weakened antioxidant protection and dyslipoproteinemia. Differences in the lipid profile (dyslipidemia) and the indicators of oxidative stress and antioxidant protection in patients with stable and progressing glaucoma course are mutually related with Clock 3111t-c gene polymorphism (CG genotype).
Pembelajaran Keterampilan Berbicara dan Langkah-langkah Penyajian Dialog di Universitas Zainul Hasan Probolinggo
Authors: Musthofa Ahmad , Ni’mah Mamluatun
Published: March 2022

It is critical to developing speaking abilities while learning Arabic. The purpose of this article is to discuss several activities used to help students improve their speaking abilities at Zainul Hasan University, Probolinggo, Indonesia. The data were gathered via observation and interviews. The findings indicated that Zainul Hasan University students developed their speaking skills using a variety of activities, including memorization and dialogue practice, encouragement to speak, developing speaking Arabic habits, dialogue methods, and feedback on speaking errors. The dialogue method was proposed to develop Zainul Hasan University Probolinggo students' speaking abilities. It was arranged in the following steps: preliminary questions and answers, introduction of new vocabulary, comprehending new vocabulary, listening to the conversation while looking at the text, listening to dialogue without looking at the text, repetition of the dialogue's pronunciation, and in pair dialogue practice.
Poliüretan ile Güçlendirilmiş Balastın Hareket Eden Tekerlek Yükü Altındaki Deformasyon Davranışının Nümerik Olarak İncelenmesi
Authors: FEDAKAR Halil İbrahim
Published: March 2022

Hareket eden tekerlek yükünden dolayı balastlı demiryolu hatlarında meydana gelen düşey deformasyonlar özellikle yüksek tren hızlarında ve zayıf taban zemini koşullarında hat düzensizliklerine sebep olmaktadır. Bu durum ise hat güvenliğini ve inşaat sonrası maliyeti olumsuz etkilemektedir. Bu çalışmada farklı miktarlarda poliüretan ile güçlendirilmiş balast tabakasının (70 kg/m3, 140 kg/m3 ve 210 kg/m3), zayıf taban zemini koşulunda ve farklı tren hızlarındaki (100 km/h, 200 km/h ve 300 km/h) düşey deformasyon davranışları sayısal olarak incelenmiştir. Bu kapsamda geliştirilen iki boyutlu nümerik modellerde statik ve hareket eden tekerlek yükleri uygulanmıştır. Analiz sonuçlarına göre poliüretan kullanımı, zayıf zemine oturan balastlı demiryolu hattında meydana gelen düşey deformasyonu önemli oranda iyileştirmektedir (>%87). Öte yandan düşük hızlarda düşük poliüretan miktarları kullanılabilirken, balast agregaları arasında oluşan daha güçlü poliüretan yapıdan dolayı artan tren hızlarında yüksek poliüretan miktarları tercih edilmelidir. Ayrıca poliüretan ile güçlendirilmiş veya güçlendirilmemiş bir demiryolu hattının analizinde statik tekerlek yükünün yerine hareket eden tekerlek yükü kullanılmalıdır.
Elektrikli Araçların Kablosuz Güç Transferi Sistemi için Dairesel Bobinli Bir Transformatörün Tasarımı ve Veriminin Analizi
Authors: ÖZÜPAK Yıldırım
Published: March 2022

Kablosuz Güç Transferi (KGT), elektrik enerjisinin iletkenlere ihtiyaç duyulmadan aktarılmasıdır. KGT zamanla değişen elektrik, manyetik veya elektromanyetik alanlar kullanan teknolojilere dayanır. Bu teknolojilerde güç, kısa mesafelerde, manyetik alan ve bobinler arasındaki endüktif kuplaj yoluyla veya elektrik alan ile metal elektrotlar arasındaki kapasitif kuplaj yoluyla aktarılabilmektedir. Diğer bir ifade ile bu sistemin temel çalışma prensibi manyetik rezonansa (MR) dayanmaktadır. Endüktif kuplaja dayalı KGT sistemi, kısa mesafelerdeki elektrikli cihazların şarj edilmesi için kullanılmaktadır. Bu teknolojinin gelişmesi, endüktif kuplajlı güç aktarım sistemini elektrikli araçların şarj uygulamaları için vazgeçilmez hale getirmiştir. Bu çalışmada, elektrikli araçlardaki şarj uygulaması için KGT sisteminin verimliliğini etkileyen faktörler analiz edilmiştir. KGT sisteminde kullanılan transformatörlerin karmaşıklığı nedeniyle, karşılıklı endüktans ve kuplaj katsayısının hesaplanmasını kolaylaştırmak için Sonlu Elemanlar Yöntemi (SEY) kullanılmıştır. Bunun için bir elektrik devresini doğrusal olmayan bir eleman modeliyle birleştiren bir simülasyon modeli ANSYS yazılım paketi kullanılmıştır. Dairesel bobinli bir KGT transformatör modeli, Ansys-Maxwell yazılımında modellenmiş ve farklı koşullar altında simüle edilmiştir. Ayrıca tasarlanan KGT sisteminin performansı analiz edilmiştir.
Bir Konfeksiyon İşletmesinde Seçilmiş Ergonomik Risklerin İş Sağlığı ve Güvenliği Kapsamında Analizi ve Risk Değerlendirmesi
Authors: GÜLERER Serkan , SABIR Emel Ceyhun
Published: March 2022

Bu çalışmada, seçilmiş büyük ölçekli, dış giyim alanında üretim yapan bir hazır giyim işletmesinde ergonomi ve iş kazalarının oluşmasına ait seçilmiş ergonomik riskler değerlendirilmiştir. Bu ergonomik riskler; ağır kaldırma, uzun süre çalışma, yoğun odaklanma, tekrarlayan hareketler ve uzanma, çekme, dönme vb. hareketler olmak üzere beş açıdan tanımlanmıştır. Risk değerlendirme için Fine Kinney metodu kullanılmıştır. Çalışmada hazır giyim işletmelerinde Ayakta durma ve elle taşıma gibi faaliyetlerin çok fazla olduğu ve bu nedenle uygunsuz çalışma duruşları, gerilme, zorlanma gibi büyük ergonomik risklerin olduğu tespit edilmiş ve çözüm önerileri ortaya konulmuştur.
Yüzeysel Su Kaynağından İçme Suyu Eldesinde Alkali Koagülasyon Metodununun Uygulanması ve Kalsiyum Sertliğinden İleri Gelen Kireç Taşı Oluşumu
Authors: YEŞİLTAŞ Hasan Kıvanç , YILMAZ Turan
Published: March 2022

Bu çalışmada, Türkmenistan Cumhuriyeti’nde bulunan yüzeysel bir su kaynağından temin edilen doğal suda bulanıklık ve kalsiyum parametrelerinin alkali koagülasyon metodu ile giderimi çalışılmıştır. Araştırma neticesinde %99 değerinde bulanıklık ve %33,50 değerinde kalsiyum giderimi elde edilmiştir. Ayrıca soda ilavesi ile kalsiyum giderim değeri %81’e çıkarılmıştır.
2007 ve 2018 Yılları Türkiye Deprem Yönetmeliklerine Göre Zemin Parametreleri ve Deprem Verilerinin Karşılaştırılması; Siirt İli Vaka Çalışması
Authors: AKYILDIZ Mehmet Hayrullah , AYHAN Ersin
Published: March 2022

Türkiye Bina Deprem Yönetmeliği (TBDY) 2018 yılında Resmi Gazetede yayımlanarak 2019 yılı ocak ayında uygulanmaya başlanmıştır. 2007 yönetmeliğine oranla içerdiği farklar nedeniyle tasarım ve analiz çıktılarında da farklar oluşmaktadır. Bu farklardan bazıları deprem ve zemin ile ilgili konu başlıkları içerisindedir.

Çalışmada 2007 ve 2018 deprem yönetmeliklerinde bulunan deprem ve zemin parametrelerinin elde edilmesine dair doğan farklar nedeniyle herhangi bir betonarme yapının karkas inşa seviyesinde oluşacak maliyet farklarının elde edilen metraj verilerinden ortaya çıkarılması amaçlanmıştır.

Çalışmada bu farklılıklar için bazı yaklaşımlara gidilmiştir. Siirt il merkezinde yer alan 5 mahallede bulunan parseller üzerinde yapılan zemin etüt çalışmalarının sonuçları, 2007 ve 2018 deprem yönetmelikleri esasınca ele alınan yönetmelik koşulları doğrultusunda elde edilmiş olup, bu veriler ışığında zemin özellikleri belirlenmiştir. Aynı zamanda ilgili parsellerin deprem verileri de 2007 ve 2018 yönetmelik esaslarına uygun şekilde elde edilmiştir.

Bilgisayar ortamında aynı kat sayısı ve tasarımda oluşturulan yapı modeline deprem ve zemin verileri işlenerek Idecad programında statik analizler yapılmıştır. Analiz sonucunda elde edilen kalıp, beton, donatı metraj miktarlarından güncel piyasa şartlarına göre bir maliyet kıyaslaması ile değerlendirme yapılmıştır. Bu konuda Çevre ve Şehircilik Bakanlığının 2018 yılı Birim Fiyat Poz Tariflerinden yararlanılmıştır. Yapılan çalışma sonunda 2018 yönetmeliğine uygun tasarım ile karkas yapı inşa maliyetinin 2007 yönetmeliğine oranla %1,60 civarında maliyet artışı göstereceği sonucuna varılmıştır.
Evaluation of WASH indicators associated with diarrhoeal disease among under-five children in an urban slum pocket, Mumbai city, India: a community-based repeated cross-sectional study
Authors: Wani H. , Smeets P. , Shrivastava S.
Published: March 2022

Water, Sanitation and Hygiene (WASH) practices are important factors in preventing diarrhoea. The objectives of this study were to assess the behaviour of the mothers of under-five children with regard to WASH practices, water quality, incidence rate of diarrhoea and the WASH predictors responsible for diarrhoea and water contamination, using multivariate regression analysis. The present study was conducted in households (n=55) having under-five children (n = 88) based in an urban slum pocket of Mumbai city, India. Key satisfactory practices included (percent household following them in parenthesis) boiling of water (63.6%) and daily cleaning of storage containers (74.5%). Households followed unsatisfactory practices during water transfer (72.7%), handwashing (58.2%), defaecation location (96.4%) and disposal of children's faeces (98.2%). The incidence rate of diarrhoea among <5-year-old children was 4.7 diarrhoeal episodes/100 child months. 86 and 39.7% of untreated and boiled drinking water samples had coliforms, while 12.5 and 5.1% had E. coli, respectively. Untreated drinking water and water sourced from shared taps were significantly associated with the incidence of diarrhoea (p < 0.05), and inconsistent in-house treatment of water was significantly associated with the presence of coliforms in drinking water (p < 0.05). The study results suggest that WASH advocacy and an improvement in sanitation-related infrastructure for the slum population can reduce diarrhoeal incidence.
Results of 2021 for the Consolidated Budgets of the Subjects of the Russian Federation: Overcoming the Crisis or Changing the Model of Intergovernmental Relations?
Authors: Lykova L.` N.
Published: March 2022

Theyear2021was quite favorable for the consolidated budgets of the subjects of the RussianFederation. The revival of economic activity in the regions and positive trends in the worldcommodity markets have led to an increase in tax and non-tax revenues of regional budgets.Themost significant increase in revenues to the consolidated budgets of the RF subjects wasprovided due to the recovery of wholesale and retail trade. The growth of its own revenuesallowedthe federal budget to reduce the total amount of financial assistance to the subjectsof the Russian Federation. At the same time, there was a pronounced increase in targetedtypesof support while reducing non-targeted ones. The volume of equalization subsidies inreal terms has decreased. The shift in emphasis in financial support to targeted transfers hasled to a pronounced trend towards an increase in the share of federal funds in the structureof expenditures on key sections of the consolidated budgets of the RF subjects within theframework of joint competence. The growth of expenditures of sub-federal budgets in 2021significantly lagged behind the increase in revenue receipts, but was higher than the rate ofinflation. Financing of housing and communal services, the national economy and educationgrew most dynamically. The result of the execution of consolidated budgets in 2021 was asurplus. At the same time, a number of RF subjects budgets were executed with a deficit.Some regions were forced to resort to deficit financing to maintain spending at the level oflast year’s values. Although the total amount of state and municipal debt slightly decreased,there was an increase in debt in some regions.
Araştırmacı Olarak Öğretmenler: Araştırma Yeterlikleri, Engelleri, Algıları ve Araştırmadan Bekledikleri Yararlar
Authors: Ekinci Necla , Ekinci C. Ergin
Published: March 2022

Araştırma yeterliği tüm profesyonel meslekler için önemli görülen ortak bir yeterliktir. Uzun zamandır araştırma yeterliği öğretmenlik mesleğinin temel yeterlik alanlarından birisi olarak görülmektedir. Bu çerçevede araştırmanın temel amacı öğretmenlerin araştırma yapma yetkinliklerini, araştırma yapma ve yapılan araştırmalardan yararlanma durumlarını, araştırma engellerini ve anlayışlarını incelemektir. Tarama modelinde desenlenmiş nicel bir araştırma olan çalışmanın örneklemini 214 lise öğretmeni oluşturmaktadır. Araştırmanın verileri araştırmacılar tarafından geliştirilen ölçeğin 2018-2019 Bahar yarıyılında örnekleme uygulanmasıyla elde edilmiştir. Araştırmanın temel sonuçları şöyledir: (1) Öğretmenlerin yaklaşık yarısı son üç yıl içinde öğretim süreçlerini, sınıf uygulamalarını geliştirmek, karşılaştıkları sorunları çözmek amacıyla araştırma yapmışlardır. (2) Öğretmenlerin araştırma yapma yetkinlikleri ve engelleri orta düzeydedir. (3) Öğretmenler öğretmenlerin araştırma yapmasını kendileri ve öğrencileri için yüksek düzeyde yararlı bulmaktadırlar. (4) Öğretmenler akademik yayın üretmeye dönük geleneksel araştırmaları daha kesin biçimde araştırma olarak nitelendirirken, okul ve sınıf sorunlarına dönük araştırmaların araştırma olduklarından emin görünmemektedirler. Gerek hizmet öncesinde gerekse hizmet içinde araştırmacı öğretmen yetiştirme ve geliştirmeye yönelik politikaların oluşturulmasında bu sonuçların dikkate alınması katkı sağlayabilir.
Nanomaterials-based Drug Delivery Approaches for Wound Healing
Authors: Girija Aswathy Ravindran , Balasubramanian Sivakumar , Cowin Allison J.
Published: March 2022

Wound healing is a complex and dynamic process that requires intricate synchronization between
multiple cell types within appropriate extracellular microenvironment. Wound healing process involves four
overlapping phases in a precisely regulated manner, consisting of hemostasis, inflammation, proliferation, and
maturation. For an effective wound healing, all four phases must follow in a sequential pattern within a time
frame. Several factors might interfere with one or more of these phases in healing process, thus causing improper
or impaired wound healing resulting in non-healing chronic wounds. The complications associated with
chronic non-healing wounds, along with the limitations of existing wound therapies, have led to the development
and emergence of novel and innovative therapeutic interventions. Nanotechnology presents unique and
alternative approaches to accelerate the healing of chronic wounds by the interaction of nanomaterials during
different phases of wound healing. This review focuses on recent innovative nanotechnology-based strategies
for wound healing and tissue regeneration based on nanomaterials, including nanoparticles, nanocomposites
and scaffolds. The efficacy of the intrinsic therapeutic potential of nanomaterials (including silver, gold, zinc
oxide, copper, cerium oxide, etc.) and the ability of nanomaterials as carriers (liposomes, hydrogels, polymeric
nanomaterials, nanofibers) and therapeutic agents associated with wound-healing applications have also been
addressed. The significance of these nanomaterial-based therapeutic interventions for wound healing needs to
be highlighted to engage researchers and clinicians towards this new and exciting area of bio-nanoscience. We
believe that these recent developments will offer researchers an updated source for the use of nanomaterials as
an advanced approach to improve wound healing.
Qingchang Mixture Prevents the Intestinal Ischemia-reperfusion Injury
through TLR4/NF-kB Pathway
Authors: Zhang Yunjie , Zhou Yongkun , Wang Meng , Zhu Yong , Liu Shujuan , Tian Zhaochun , Zhu Pengfei
Published: March 2022

Objection:

This study aims to determine the protective effect and molecular responses
of the traditional Chinese medicine Qingchang mixture on intestinal ischemia-reperfusion (IR) injury.

Methods:

The rat intestinal IR model was prepared. The intestinal ischemic injury was evaluated
by HE staining, biochemical assay and western blot. In addition, a human hypoxia-reoxygenation
(HR) in vitro model was prepared using intestinal epithelial cells (IEC-6). The viability and apoptosis
of IEC-6 cells were measured by CCK8 and apoptosis detection. TAK242 or PDTC was used
as a small molecule inhibitor of TLR4 or NF-κB, respectively.

Results:

Compared with the IR group, the pretreatment of the Qingchang mixture reduced the
morphological damage, oxidative stress, inflammatory response, and barrier function damage of
the small intestine tissue. IR significantly increased the expression of TLR4 and NF-κB, while the
pretreatment of the Qingchang mixture inhibited the expression of TLR4 and NF-κB. Furthermore,
the pretreatment of Qingchang mixture, TAK242, or PDTC effectively improved the viability and
hindered apoptosis of the HR-induced IEC-6 cells.

Conclusions:

Traditional Chinese medicine Qingchang mixture prevents intestinal IR injury
through TLR4/NF-kB pathway.
Cytochromes P450: Role in Carcinogenesis and Relevance to Cancers
Authors: Abu-Bakar A’edah , Tan Boon Hooi , Halim Hasseri , Ramli Salfarina , Pan Yan , Ong Chin Eng
Published: March 2022

Abstracts:

Cancer is a leading cause of mortality globally. Cytochrome P450 (CYP) enzymes play a pivotal role in
the biotransformation of both endogenous and exogenous compounds. Various lines of evidence from epidemiological,
animal, and clinical studies point to the instrumental role of CYPs in cancer initiation, metastasis, and prevention.
Substantial research has found that CYPs are involved in activating different carcinogenic chemicals in the environment,
such as polycyclic aromatic hydrocarbons and tobacco-related nitrosamines. Electrophilic intermediates produced
from these chemicals can covalently bind to DNA, inducing mutation and cellular transformation that collectively
result in cancer development. While bioactivation of procarcinogens and promutagens by CYPs has long been
established, the role of CYP-derived endobiotics in carcinogenesis has only emerged in recent years. Eicosanoids
derived from arachidonic acid via CYP oxidative pathways have been implicated in tumorigenesis, cancer progression
and metastasis. The purpose of this review is to update the current state of knowledge about the molecular cancer
mechanism involving CYPs with a focus on the biochemical and biotransformation mechanisms in the various
CYP-mediated carcinogenesis and the role of CYP-derived reactive metabolites, from both external and endogenous
sources, in cancer growth and tumor formation.
Benzimidazoles Against Certain Breast Cancer Drug Targets: A Review
Authors: Ates-Alagoz Zeynep , Kisla Mehmet Murat
Published: March 2022

Background:

Benzimidazoles are widely used scaffolds against various types of cancer, including breast cancer. To this end, anticancer agents must be developed using the knowledge of the specific targets of BC.

Objective:

In this study, we aim to review the compounds used against some of the biomolecular targets of breast cancer. To this end, we present information about the various targets, with their latest innovative studies.

Conclusion:

In this study, we aim to review the compounds used against some of the biomolecular targets of breast cancer. To this end, we present information about the various targets, with their latest innovative studies.
Gene Therapy, A Potential Therapeutic Tool for Neurological and Neuropsychiatric Disorders: Applications, Challenges and Future Perspective
Authors: Mani Shalini , Jindal Divya , Singh Manisha
Published: March 2022

Neurological and neuropsychiatric disorders are the main risks for the health care system,
exhibiting a huge socioeconomic load. The available range of pharmacotherapeutics mostly provides
palliative consequences and fails to treat such conditions. The molecular etiology of various neurological
and neuropsychiatric disorders is mostly associated with a change in genetic background, which
can be inherited/triggered by other environmental factors. To address such conditions, gene therapy is
considered a potential approach claiming a permanent cure of the disease primarily by deletion, silencing,
or edition of faulty genes and by insertion of healthier genes. In gene therapy, vectors (viral/nonvial)
play an important role in delivering the desired gene to a specific region of the brain. Targeted
gene therapy has unraveled opportunities for the treatment of many neurological and neuropsychiatric
disorders. For improved gene delivery, the current techniques mainly focus on designing a precise viral
vector, plasmid transfection, nanotechnology, microRNA, and in vivo clustered regulatory interspaced
short palindromic repeats (CRISPR)-based therapy. These latest techniques have great benefits
in treating predominant neurological and neurodevelopmental disorders, including Parkinson's disease,
Alzheimer's disease, and autism spectrum disorder, as well as rarer diseases. Nevertheless, all these
delivery methods have their limitations, including immunogenic reactions, off-target effects, and a deficiency
of effective biomarkers to appreciate the effectiveness of therapy. In this review, we present a
summary of the current methods in targeted gene delivery, followed by the limitations and future direction
of gene therapy for the cure of neurological and neuropsychiatric disorders.
Halal Food Analysis Using FTIR Spectroscopy Combined with
Chemometrics: A Review
Authors: Ahda Mustofa , Guntarti Any
Published: March 2022

Halal is an important part that was clearly regulated by Holy Qur’an and Al-Hadith. This regulation is intended to safeguard our lives, especially for Muslims. The prohibited things can present various problems arise. However, Halal is a good choice for long-term life and safer for us. Therefore, this review explains the basis of the halal analysis and the use of FTIR as one of the analytical methods in halal foods. The basis of the halal analysis involves the specified non-halal contents, where they will encourage the developed analytical methods for halal authentications. Many analytical methods developed in halal analysis include gas chromatography (GC)/gas chromatography mass spectroscopy (GC-MS), high pressure liquid chromatography (HPLC), fourier transform infra red (FTIR), electronic nose (e-nose), real-time polymerase chain reaction (RT-PCR), etc. Based on this review, FTIR spectroscopy combined with chemometrics is a good method for halal food analysis because it provides an appropriate result and it is a simple method and a non destructive preparation.
Analysis of CNN and Feed-Forward ANN Model for the Evaluation of
ECG Signal
Authors: Mathur Prerak , Sharma, Tanu , Veer Karan
Published: March 2022

Aims:

Heart disease is considered as one of the complex diseases that has affected a large number of people around world.

Background:

Therefore, it is important to detect and identify cardiac diseases at early stages

Objective:

A large number of methods are already present that detect various heart diseases, however, there are some limitations in these methods that degraded their overall performance.

Methods:

In this paper, an effective and efficient method based on convolutional neural network (CNN) and feed forward artificial neural network (FFANN) is proposed that can effectively detect cardiac diseases after analysing the Electrocardiogram (ECG) signals. In this ongoing study, the transformed signals are used to extract the information from the processed data. The extracted features are then passed to the proposed CNN-FFANN classifiers for training and testing purpose.

Results:

The performance of the proposed CNN-FFANN model is evaluated in the MATLAB software in terms of performance matrices.

Conclusion:

The simulated outcomes proved that the proposed CNN-FFANN model is more accurate and efficient in detecting heart diseases from ECG signals and can be adopted for future biomedical applications.