bluuebunny/crossref_metadata_2025 huggingface dataset:
Kemampuan Pemecahan Masalah Matematika Materi Pola Bilangan Ditinjau dari Tingkat Kepercayaan Diri Siswa
Authors: Ghurfah Ahliah , Sripatmi Sripatmi , Novitasari Dwi , Baidowi Baidowi
Published: February 2023

The purposes of this research were to describe mathematical problem-solving ability on number pattern materials based on the level of self-confidence of 8th-grade students at MTsN 3 Mataram in the academic year 2022/2023. This research is descriptive qualitative research. The research subjects consisted of 6 students who were taken using a purposive sampling technique. As for the data collection techniques, this research is using three methods, which are questionnaires, tests, and interviews. The data analysis technique uses Miles and Huberman consisting of data reduction, data display, and conclusions are drawn. The results show that subjects with high self-confidence and moderate self-confidence are able to carry out the stages of understanding the problem, the stages of devising a plan, the stages of carrying out the plan, and the stages of looking back. Meanwhile, subjects with low self-confidence are only able to carry out the stages of understanding the problem.
Pengaruh Model Pembelajaran CORE (Connecting, Organizing, Reflecting, And Extending) terhadap Kemampuan Komunikasi Matematis Siswa SMP Negeri 206 Jakarta
Authors: Umi Hidayati
Published: February 2023

ABSTRAK

Penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran CORE (Connecting, Organizing, Reflecting, and Extending) terhadap kemampuan komunikasi matematis siswa di SMP Negeri 206 Jakarta. Penelitian ini menggunakan metode quasi-experiment dengan Posttest-Only Control Group Design. Teknik pengambilan sampel pada penelitian ini adalah dengan Two Stage Random Sampling menggunakan Cluster Random Sampling dan Simple Random Sampling. Sampel penelitian yaitu siswa kelas VIII-E dan VIII-F di SMP Negeri 206 Jakarta. Instrumen penelitian yang digunakan adalah tes kemampuan komunikasi matematis siswa pada materi Sistem Persamaan Linear Dua Variabel (SPLDV) berupa 5 soal uraian yang telah diuji validitas dan reliabilitasnya. Berdasarkan hasil pengujian hipotesis menggunakan uji-t dengan taraf signifikansi , diperoleh bahwa  dan  sehingga , maka  ditolak dan nilai Cohen’s Effect Size yang diperoleh sebesar 0,509 yang termasuk dalam kategori sedang dengan persentase 69%. Dengan demikian, dapat disimpulkan bahwa terdapat pengaruh positif yang signifikan dari penerapan model pembelajaran CORE (Connecting, Organizing, Reflecting, and Extending) terhadap kemampuan komunikasi matematis siswa di SMP Negeri 206 Jakarta.

Kata Kunci: Model Pembelajaran CORE (Connecting, Organizing, Reflecting, and Extending), Kemampuan Komunikasi Matematis
Kemampuan Pemecahan Masalah Siswa Kelas VIII SMP Negeri 17 Mataram Pada Materi Pola Bilangan Yang Menggunakan Pembelajaran Melalui WhatsApp Tahun Pelajaran 2021/2022
Authors: Septiarini Eka Safitri , Sripatmi Sripatmi , Kurniawan Eka , Baidowi Baidowi
Published: February 2023

This study aims to describe the problem-solving abilities of class VIII students of SMP Negeri 17 Mataram in the matter of number patterns using learning via WhatsApp for the 2021/2022 academic year and identify problems encountered by teachers and students in the learning process via WhatsApp. This research is a qualitative descriptive study. The research sample was selected using a purposive sampling technique, namely class VIII A as many as 26 students. The data collection technique used was giving tests, distributing questionnaires and student responses, as well as interviews. Based on the results of the descriptive analysis, it shows that the average problem solving ability of student is 62.10 which is included in the less detailed category, 15 students or 57.70% of students with poor problem-solving abilities (not yet able to complete all stages), 3 students or 11.54% of students with sufficient problem-solving abilities (not yet able to perform the stages of finding strategies, using strategies, and looking back completely), 2 students or 7.69% with good problem-solving abilities (not yet able to carry out stages of understand the problem and looking back completely), 6 students or 23.07% of students with very good problem solving skills (not yet able to do the stages of looking back completely). There are obstacles encountered by teachers in the learning process via WhatsApp, namely studens’ internet connection, some students do not know how to reply answer correctly, difficulties in explaining the stage of problem solving properly. While the obstacles encountered by students namely, internet network, motivation, giving assignments, and understanding of the stages of problem solving, as well subject matter.
Sicill-i Ahvâl Kayıtlarına Göre Osmanlı Bürokrasisinde Süryaniler
Authors: YADİ Ahmet
Published: February 2023

Süryaniler Mezopotamya’nın eski milletlerindendir. Bölgenin Osmanlı Devleti hakimiyetine girmesiyle Türklerin idaresi altında yüzyıllarca hayatlarını sürdürmüşlerdir. Tanzimat ve Islahat Fermanlarının etkisiyle birlikte diğer gayrimüslimler gibi Süryaniler de Osmanlı bürokrasisinde yer almaya başladılar. II. Abdülhamid döneminin önemli bürokrasi kaynaklarından olan Sicill-i Ahvâl kayıtlarında Süryani devlet adamları da bulunmaktadır. Bu kayıtlarda memurların isimleri, baba adları ve meslekleri, doğum tarihi ve yerleri, eğitim bilgileri ve memuriyet hayatlarına dair bilgiler yer almaktadır. Tespit edilen 18 Süryani memur Diyarbakır, Mardin, Urfa, Halep, Siirt ve Musul gibi yerlerde dünyaya gelmiştir. Hepsi eğitim görmüş olup aynı zamanda birçok dil bilmektedir. Birçok yabancı dil bilmeleri bazı memuriyetlere atanmasında etkili olmuştur. Buna örnek olarak telgraf merkezlerinin muhaberat-ı ecnebiye memurluklarına atanmaları gösterilebilir. Coğrafya olarak daha çok doğdukları ve yaşadıkları yerlerde veya civar bölgelerde memuriyet hayatlarına devam etmişlerdir. Osmanlı bürokrasisindeki Süryaniler içinde görevini iyi yapanlar taltif edildiği gibi vazifesini suiistimal edenler de cezalandırılmıştır. Bu çalışmanın amacı Sicill-i Ahvâl kayıtlarında yer alan Süryanilerin Osmanlı bürokrasisindeki yerini ortaya koymaktır.
Rotationplasty with Tibial Nerve Coaptation
Authors: de Wouters Solange , Schade Alexander Thomas , Etemad-Rezaie Ali , Nikomarov David , Borschel Gregory , Hopyan Sevan
Published: February 2023

Case:

We present the case of a 14-year-old adolescent boy with a distal femoral osteosarcoma partially encasing the tibial nerve. He underwent rotationplasty with resection and coaptation (end-to-end repair) of the tibial nerve. By 1 year postoperatively, he had recovered sensation on the plantar aspect of his foot and Medical Research Council scale 4+/5 gastro-soleus contraction that powered extension of the new knee.

Conclusion:

Tibial nerve resection is not an absolute contraindication for rotationplasty, even in an adolescent. Nerve coaptation allows for well-functioning rotationplasty as an alternative to endoprosthetic reconstruction or above-knee amputation.
Ordenación territorial supramunicipal de tipo bottom-up y top-down en España: el caso valenciano
Authors: Membrado Tena Joan Carles , Martín Cubas Joaquín , Fansa Ghaleb , Hermosilla Pla Jorge
Published: February 2023

La principal entidad supramunicipal española actual es la provincia, cuya función primordial es apoyar a los municipios más pequeños que, a menudo, no pueden prestar los servicios que requieren sus habitantes. La escasa eficiencia que ha mostrado, en general, la institución provincial como entidad local, y la necesidad de crear una organización territorial autonómica propia y eficiente, ha llevado a las comunidades autónomas a implementar otro tipo de entes locales supramunicipales, tanto de tipo top-down (comarcas, áreas funcionales, áreas metropolitanas) como, sobre todo, de tipo bottom-up (mancomunidades, consorcios). Estos entes locales intermedios entre municipio y provincia tienen funciones diversas (descentralización, planificación, desarrollo local) que a menudo entran en competencia con las de la diputación. En la Comunitat Valenciana las delimitaciones top-down no han sido viables, por el momento, por lo que respecta a la comarcalización, pero sí en cuanto al área metropolitana; en cambio, las demarcaciones bottom-up sí que se han desarrollado. Para conjugar ambos tipos de demarcación, en 2018 se presentó una nueva ley valenciana de mancomunidades que promueve un modelo mixto: mancomunidades clásicas bottom-up al lado de mancomunidades de interés comarcal (voluntarias pero adaptadas a un esquema top-down).
Data Journey: Digitalization Projects Deliver Returns for Operators
Authors: Presley Jennifer
Published: February 2023

Data are the backbone of what Klaus Schwab—the founder and executive chairman of the World Economic Forum—proclaimed to be the Fourth Industrial Revolution. This 21st‑century revolution is one of connectivity, advanced analytics, automation, and manufacturing technology.

While the road to this high‑tech revolution started long ago with the use of water and steam to power mechanized production, it was electricity’s ability to power mass production that delivered us from the first to the second industrial revolution.

Electronics and information systems necessary to automate production ushered in the third revolution. The data and our abilities to decipher and extract value from these seemingly random and disparate patterns of numbers and letters to create actionable intelligence is rapidly transforming the way business is conducted.

Data are everywhere and in everything. But on the grand scale of time, the collection, analysis, and application of digital data is relatively young.

Billy Bean and the Major League Baseball team Oakland Athletics, for example, demonstrated the importance of data‑driven decision making in the early 2000s by leveraging the power of data analytics to go from last place contender to chasing the championship in what has become known as Moneyball.

Some 20 years later, the power of data and digital continues to evolve, with the bright lights of Qatar’s Lusail Stadium, for example, shining down last month on the final football match of the FIFA World Cup; every movement made by Al Rihla was captured, stored, and analyzed.

But Al Rihla was not a player; it was the football created by Adidas and used in each of the more than 60 matches held throughout the tournament with an internal sensor for real‑time ball tracking capabilities. High‑speed cameras and antennas surrounding the football pitch provided additional support, feeding data into FIFA’s enhanced football intelligence service.

The data collected during the matches were analyzed on a variety of metrics like possession time, line breaks, pressure on the ball, and forced turnovers, and then shared with teams with the goal of improving the game and its players.

Winning the “beautiful game” is not as simple as it looks, as there’s more to kicking the ball into the opposing team’s net to score a goal as many times as possible in 90 minutes. These data offer an inside look into the processes of success or failure.

Simple, too, is the production of oil and gas when explained on paper: drill a hole into the ground, route what flows to the surface into a pipeline, and then get paid for the effort invested in delivering that resource to the market when the price is right.

It is more complicated than that, and data are playing an important role in delivering production increases and more.

Data powered the shale gale that swept across the US oil and gas industry. David Millwee, vice president of drilling performance for Patterson‑UTI Drilling, credits data for helping to deliver the yearly increases in the lateral footage drilled.
Smartwater-Based Synergistic Technologies Offer Potential in Enhanced Oil Recovery
Authors: Carpenter Chris
Published: February 2023

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 209360, “Smartwater-Based Synergistic Technologies: A Next-Recovery Frontier for Enhanced Oil Recovery,” by Subhash C. Ayirala, SPE, Abdulkareem M. Alsofi, SPE, and Zuhair A. Al-Yousef, SPE, Saudi Aramco, et al. The paper has not been peer reviewed.

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In the complete paper, the authors explore the synergistic effects of smartwater in polymerflooding, surfactant polymer (SP) flooding, carbonated waterflooding, and foam-assisted gas-injection processes. A suite of multiscale experimental data is analyzed to demonstrate and quantify the benefits of water-chemistry synergies in these enhanced oil recovery methods. Smartwater increased oil recoveries by 5–7% in addition to reducing polymer-concentration requirements by one-third in polymerflooding.

Experimental Materials, Methods, and Procedures

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Materials

Brines. High-salinity water (HSW) as well as two low-salinity smartwater brines, SW1 and SW2, were used. HSW had a salinity of 57,670 ppm total dissolved solids (TDS). The two smartwaters had roughly the same salinity but different individual ions. SW1 was represented by a 10-times dilution of HSW, while SW2 was of the same salinity but enriched with mainly sulfate ions.

Crude Oil. Two crude oils were used. The crude oil used for polymerflooding oil-displacement experiments had a viscosity of 2.0 cp, while the crude oil with a viscosity of approximately 4.4 cp at reservoir temperature (90–100°C) is used for SP-flooding experiments. Both the crude oils had an asphaltene content of approximately 6.0 wt%.

Polymer. A sulfonated polyacrylamide polymer having a sulfonation degree of 25 mol% and a molecular weight of 12 million Dalton was used. Polymer concentrations within the range of 1,000–2,000 ppm were chosen for polymerflooding and SP-flooding experiments.

Surfactants. A betaine-type amphoteric surfactant was used for SP-flooding experiments. The gases used to generate the foam were nitrogen gas and carbon dioxide gas (CO2) with a purity of approximately 99.99 and 99.50%, respectively.

Core Samples. Carbonate core plug samples were obtained from carbonate reservoirs. One sample was used to conduct the displacement experiment with polymerflooding, while six preserved plugs were used for evaluating SP-flooding synergy with smartwater. The ambient porosity ranged from 22.1 to 29.3%, and air permeability ranged from 123 to 1,978 md. A single plug was used for polymerflooding oil-displacement tests, while two-plug composite core samples were used for SP-flooding experiments.
Autonomous Intelligent Logging Platform Enables Cost and Time Savings
Authors: Carpenter Chris
Published: February 2023

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 31149, “Sensor Ball: Autonomous, Intelligent Logging Platform,” by Erjola Buzi, Huseyin R. Seren, SPE, and Max Deffenbaugh, SPE, ASC, et al. The paper has not been peer reviewed. Copyright 2021 Offshore Technology Conference. Reproduced by permission.

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The complete paper describes a method of retrieving downhole data that is a practical and inexpensive alternative to wireline or slickline logging and permanently installed sensors. The autonomous logging platform, called the Sensor Ball, is a handheld, untethered logging tool that one person can deploy and recover from a pressurized well with no special equipment or crew.

The Autonomous Logging Platform

The tool is a battery-powered, self-deployed logging platform. A small dissolvable metal weight is attached to the housing magnetically and helps the free-fall of the tool in the well. Once a desired and programmed depth is reached, the tool releases the weight, and thus changes buoyancy and floats back to surface. Deployment and retrieval of the tool is safe and simple and requires only a wrench to open the cap of the wellhead but does not require cranes, logging trucks, lubricators, or blowout preventers. By sequentially opening and closing the cap, swab, and master valves, in just a few minutes, the untethered logging platform passes the wellhead section and begins traveling downhole. Retrieval is performed by reversing this process. As it travels down and up, the tool records temperature, pressure, and magnetic field data continuously in its internal memory. The recorded data are wirelessly retrieved once the tool is back at the surface.

A lightweight atmospheric housing provides buoyancy and insulates the electronics from the well fluids. While optimally exposing temperature and pressure sensors, the small body mass of the housing minimizes the temperature distortion in the downhole environment.

The tool is deployed and retrieved several times in the field. Downhole temperature, pressure, and magnetic field data are recorded for several hours. Without the need for field crew or personnel to stand by during the logging operation, rig-up and deployment times decrease from several hours to a few minutes.
Evaluating Recompletion and Restimulation Potential in Antrim Shale Wells
Authors: Frantz J. H. , Hopkins Christopher W. , Hill David G.
Published: February 2023

The Gas Research Institute (GRI) has completed several evaluations to estimate the recompletion and restimulation potential in older, Antrim Shale wells. This potential was identified due to changes in operator completion, stimulation, and production practices during the past few years. The recompletion potential is two-fold: (1) wells that can be deepened into the Norwood interval, and (2) wells with the Upper Antrim interval behind pipe. There are also numerous restimulation candidates in the Lachine and Norwood intervals in older wells due to sand flowback and/or inadequate stimulation practices. This paper presents the results of an extensive field testing program combined with reservoir simulation studies to quantify the recompletion and restimulation production potential and workover economics.
An Optrode Array for Spatiotemporally Precise Large-Scale Optogenetic Stimulation of Deep Cortical Layers in Non-human Primates
Authors: Angelucci Alessandra , Clark Andrew , Ingold Alexander , Reiche Christopher , III Donald Cundy , Balsor Justin , Federer Frederick , McAlinden Niall , Cheng Yunzhou , Rolston John , Rieth Loren , Dawson Martin , Mathieson Keith , Blair Steve
Published: February 2023

Optogenetics has transformed studies of neural circuit function, but remains challenging to apply in non-human primates (NHPs). A major challenge is delivering intense and spatially precise patterned photostimulation across large volumes in deep tissue. Here, we have developed and validated the Utah Optrode Array (UOA) to meet this critical need. The UOA is a 10×10 glass waveguide array bonded to an electrically-addressable µLED array. In vivo electrophysiology and immediate early gene (c-fos) immunohistochemistry demonstrated the UOA allows for large-scale spatiotemporally precise neuromodulation of deep tissue in macaque primary visual cortex. Specifically, the UOA permits both focal (single layers or columns), and large-scale (across multiple layers or columns) photostimulation of deep cortical layers, simply by varying the number of simultaneously activated µLEDs and/or the light irradiance. These results establish the UOA as a powerful tool for studying targeted neural populations within single or across multiple deep layers in complex NHP circuits.
Can policy-driven afforestation in China offset the impacts of forest loss on climate connectivity?
Authors: Han Qiyao , Li Ming , Keeffe Greg
Published: February 2023

Extensive deforestation has been a major reason for the loss of climate connectivity, which is considered essential for species range shifts under climate change. Large-scale afforestation is likely to mitigate the negative impacts of forest loss. Over the past decades, the Chinese government launched a series of afforestation projects, but the effects of such efforts on range shifts have not been studied yet. Here, we evaluate changes of climate connectivity across Mainland China between 2015 and 2019 by assessing the extent and probability of species to track suitable climates under projected climate warming. We find that current afforestation efforts have improved climate connectivity and alleviated the negative impacts of forest loss. However, only ~55% of the trees planted in this period can facilitate range shifts. We prioritise candidate sites for future afforestation to effectively improve climate connectivity, based on their potential to serve as stepping stones. Future tree-planting projects should incorporate species range shifts and climate connectivity to achieve biodiversity conservation benefits under climate change.
High resolution shallow crustal shear wave velocity structure of Anyuan mining area and its adjacent region in Jiangxi Province, China
Authors: Gong Meng , Lv Jian , Zhang Xingmian , Zheng Yong , Chen Hao , Dong Jun , Zha Xiaohui , Li Zheng , Sheng Shuzhong , Wang Tongli
Published: February 2023

High-resolution seismic image is critically important for mining minerals. In this work, we collected seismic data from a local dense seismic array of 154 stations around the Anyuan mining area and its adjacent region of Pingxiang City, Jiangxi Province in South China, and applied the ambient noise tomography (ANT) method to image the shear wave velocity structure in the mining area. Shallow crustal velocities at depths less than 3.3 km were determined by direct inversion of Rayleigh wave group velocity dispersion curves at the period range of 0.5–5.0 s. Overall, the S-wave velocity structure has a tight correlation with surface geological and tectonic features in the study area. Influenced by the depression of sedimentary structure and the coal mining activities in the Pingxiang-Leping region, the shear wave velocity structure in the shallow crust of the Anyuan Mine and its adjacent areas presents obvious low-velocity anomalies. The shear wave velocity structures around the Anyuan fault (AYF) and Wangkeng fault (WKF) zones exhibit low-velocity anomalies from the ground surface to ~ 3.3km underground, and the low-velocity anomalies at depths less than 1.2 km could be related to the sedimentary environment of coal mine and the coal mining activities, while the low-velocity anomalies at depths below 1.2 km are caused by the presence of fracture medium, oil and gas in the fault zone. The shear wave velocity changes sharply across the AYF and the characteristics of the velocity change interface show the AYF is inclined toward the northwest and the depth of its extension reach to ~ 3km underground. Based on the depth of the obvious low-velocity intrusive anomalies beneath the Anyuan mining area, we deduce the mining depth of the Anyuan coal mine area exceeded 1 km underground.
The effect of prions on cellular metabolism: The metabolic impact of the [RNQ+] prion and potential role of native Rnq1p
Authors: Howell-Bray Tyler , Byrne Lee
Published: February 2023

Within the field of amyloid and prion disease there is a need for a more comprehensive understanding of the fundamentals of disease biology. In order to facilitate the progression treatment and underpin comprehension of toxicity, fundamental understanding of the disruption to normal cellular biochemistry and trafficking is needed. Here, by removing the complex biochemistry of the brain, we have utilised known prion forming strains of Saccharomyces cerevisiae carrying different conformational variants of the Rnq1p to obtain Liquid Chromatography-Mass Spectrometry (LC-MS) metabolic profiles and identify key perturbations of prion presence. These studies reveal that prion containing [RNQ+] cells display a significant reduction in amino acid biosynthesis and distinct perturbations in sphingolipid metabolism, with significant downregulation in metabolites within these pathways. Moreover, that native Rnq1p appears to downregulate ubiquinone biosynthesis pathways within cells, suggesting that Rnq1p may play a lipid/mevalonate-based cytoprotective role as a regulator of ubiquinone production. These findings contribute to the understanding of how prion proteins interact in vivo in both their prion and non-prion confirmations and indicate potential targets for the mitigation of these effects. We demonstrate specific sphingolipid centred metabolic disruptions due to prion presence and give insight into a potential cytoprotective role of the native Rnq1 protein. This provides evidence of metabolic similarities between yeast and mammalian cells as a consequence of prion presence and establishes the application of metabolomics as a tool to investigate prion/amyloid-based phenomena.
Hydroxymethylation alterations in progenitor-like cell types of pediatric central nervous system tumors are associated with cell type-specific transcriptional changes
Authors: Lee Min Kyung , Azizgolshani Nasim , Zhang Ze , Perreard Laurent , IV Fred Kolling , Nguyen Lananh , Zanazzi George , Salas Lucas , Christensen Brock
Published: February 2023

Although intratumoral heterogeneity has been established in pediatric central nervous system tumors, epigenomic alterations at the cell type level have largely remained unresolved. To identify cell type-specific alterations to cytosine modifications in pediatric central nervous system tumors we utilized a multi-omic approach that integrated bulk DNA cytosine modification data (methylation and hydroxymethylation) with both bulk and single-cell RNA-sequencing data. We demonstrate a large reduction in the scope of significantly differentially modified cytosines in tumors when accounting for tumor cell type composition. In the progenitor-like cell types of tumors, we identified a preponderance differential CpG hydroxymethylation rather than methylation. Genes with differential hydroxymethylation, like HDAC4 and IGF1R, were associated with cell type-specific changes in gene expression in tumors. Our results highlight the importance of epigenomic alterations in the progenitor-like cell types and its role in cell type-specific transcriptional regulation in pediatric CNS tumors.
Three-dimensional biphase fabric estimation from 2D images by deep learning
Authors: Chou Daniel , Etcheverry Matias , Arson Chloe
Published: February 2023

A pruned VGG19 model subjected to Axial Coronal Sagittal (ACS) convolutions and a custom VGG16 model are benchmarked to predict 3D fabric descriptors from a set of 2D images. The data used for training and testing are extracted from a set of 600 3D biphase microstructures created numerically. Fabric descriptors calculated from the 3D microstructures constitute the ground truth, while the input data are obtained by slicing the 3D microstructures in each direction of space at regular intervals. The computational cost to train the custom ACS-VGG19 model increases linearly with p (the number of images extracted in each direction of space), and increasing p does not improve the performance of the model - or only does so marginally. The best performing ACS-VGG19 model provides a MAPE of 2 to 5% for the means of aggregate size, aspect ratios and solidity, but cannot be used to estimate orientations. The custom VGG16 yields a MAPE of 2% or less for the means of aggregate size, distance to nearest neighbor, aspect ratios and solidity. The MAPE is less than 3% for the mean roundness, and in the range of 5-7% for the aggregate volume fraction and the mean diagonal components of the orientation matrix. Increasing p improves the performance of the custom VGG16 model, but becomes cost ineffective beyond 3 images per direction. For both models, the aggregate volume fraction is predicted with less accuracy than higher order descriptors, which is attributed to the bias given by the loss function towards highly-correlated descriptors. Both models perform better to predict means than standard deviations, which are noisy quantities. The custom VGG16 model performs better than the pruned version of the ACS-VGG19 model, likely because it contains 3 times (p = 1) to 28 times (p = 10) less parameters than the ACS-VGG19 model, allowing better and faster cnvergence, with less data. The custom VGG16 model predicts the second and third invariants of the orientation matrix with a MAPE of 2.8% and 8.9%, respectively, which suggests that the model can predict orientation descriptors regardless of the orientation of the input images.
Green synthesis of zinc oxide nanoparticles by using Mentha spicata and Ocimum basilicum leaves: Physical properties, foliar treatment, plant uptake and antibacterial potential
Authors: Doğaroğlu Zeynep Görkem , Uysal Yağmur , Çaylalı Zehranur , Karakulak Delil Sefkan
Published: February 2023

In this study, plant extracts were used as stabilizing agents to synthesize ZnO-NPs with a green chemistry approach. The plant extracts were obtained from the aromatic plants of mint and basil leaves. The physical properties of the produced nanoparticles were investigated using XRD, SEM and FTIR. The shape of ZnO-NPs was triangular, as revealed by SEM analysis. The effects of biologically synthesized ZnO-NPs on plants when they reach the soil were investigated on the growth of wheat. In addition, antibacterial potential of ZnO-NPs on gram-positive and gram-negative bacteria was investigated. Results showed that S. aureus was more sensitive to all three types of ZnO-NPs than E. coli. Synthesized ZnO-NPs were also given as foliar treatment in order to determine Zn+ 2 uptake by plants and potential toxic effects on the growth of wheat. M-ZnO-NPs and B-ZnO-NPs improved the germination percentage of wheat at 400 mg/L concentration (100%), while raw ZnO-NPs showed 90% germination at the same concentration. It was also revealed that plant growth varies depending on the species and concentrations of ZnO-NPs, therefore, if foliar treatments are applied to wheat, the threshold concentrations, sizes and species of ZnO-NPs should be carefully evaluated.
Babesia divergens egress from host cells is orchestrated by essential and druggable kinases and proteases
Authors: Elsworth Brendan , Keroack Caroline , Rezvani Yasaman , Paul Aditya , Barazorda Keare , Tennessen Jacob , Sack Samantha , Moreira Cristina , Gubbels Marc-Jan , Meyers Marvin , Zarringhalam Kourosh , Duraisingh Manoj
Published: February 2023

Apicomplexan egress from host cells is fundamental to the spread of infection and is poorly characterized in Babesia spp., parasites of veterinary importance and emerging zoonoses. Through the use of video microscopy, transcriptomics and chemical genetics, we have implicated signaling, proteases and gliding motility as key drivers of egress by Babesia divergens. We developed reverse genetics to perform a knockdown screen of putative mediators of egress, identifying kinases and proteases involved in distinct steps of egress (ASP3, PKG and CDPK4) and invasion (ASP2, ASP3 and PKG). Inhibition of egress leads to continued intracellular replication, indicating exit from the replication cycle is uncoupled from egress. Chemical genetics validated PKG, ASP2 and ASP3 as druggable targets in Babesia spp. All taken together, egress in B. divergens more closely resembles T. gondii than the more evolutionarily-related Plasmodium spp. We have established a molecular framework for biological and translational studies of B. divergens egress.
Cutoffs of Different Body Measurement Indexes of Central Obesity in Patients with Type 2 Diabetes Mellitus
Authors: Luo Ai , Tang Zheng , Xu XiaoJia , Li Chao , Zhou Die , Xiao Dong , Lu Yongjie , Liang Rutao , Guan Guifen , Li Wangen , Hu Zhuoqing
Published: February 2023

Objective Few research discuss whether the body measurement indexs of obesity in general populations is applicable to patients with type 2 diabetes. We explore the optimal cutoffs of visceral fat area (VFA) and subcutaneous fat area (SFA) in the diagnosis of central obesity and the cutoffs of corresponding waist circumference (WC) and body mass index (BMI) in patients with Type 2 Diabetes Mellitus (T2DM).
Design Cross-sectional cohort study
Setting and participants 1057 patients with T2DM (550 males and 507 females) aged 18 or above that satisfied the criteria were included. The definition and diagnostic criteria of Metabolic syndrome (Mets) were analyzed according to the 2020 Chinese Diabetes Society (CDS) Guideline.
Primary and secondary outcome measures The VFA and SFA were measured by bioelectrical impedance analysis (BIA). The optimal VFA and SFA cutoffs and corresponding WC and BMI when two or more nonadipose components of MetS (without central obesity) were met were analyzed by ROC curve.
Results: Among all of the T2DM patients, the optimal VFA cutoff for identifying two or more nonadipose components of MetS was 73.3cm2 for females and 69.2cm2 for males, while the optimal SFA cutoff was 186.7cm2 for females and 123.3cm2 for males. The ROC area under the curve (AUC) of VFA for identifying two or more nonadipose components of MetS was higher than that of SFA. The VFA cutoff of newly diagnosed T2DM patients (females=86.1cm2, males=69.0cm2) was higher than that of non-newly diagnosed T2DM patients (females=73.3cm2, males=65.4cm2). A stratification analysis of gender and whether newly diagnosed with T2DM or not showed that the WCs corresponding to VFA were 85cm and BMI was about 24 Kg/m2.
Conclusion: The VFA for diagnosing central obesity in T2DM patients was 70cm2 for males and about 73cm2 for females, the corresponding WC were 85 cm and BMI was 24 Kg/m2.
Generation and characterization of reduced PSII antenna size mutants of Chlorella sorokiniana for improved Biomass
Authors: Maram Vidya Vani , khateef Riazunnisa , Nambi Rajesh , kalimidi Vinoth , Pinjari Osman Basha
Published: February 2023

Biofuel production from algal biomass is the fundamental component in developing a sustainable energy source that can replace fossil fuels. However, cost effectiveness need to duly taken into account as there is substantial difference between the higher cost of biofuel production and relatively low cost of fossil fuels. Studies on Chlorella species attract sufficient attention to improve algal biomass production capacity. One of the critical problems is inefficient use of light caused by its unequal distribution. The current study describes the development of photosynthetic Chlorella sorokiniana mutants by EMS mutagenesis. Mutagenesis and visual phenotypic selection procedures were applied and three C. sorokiniana chlorophyll mutants (CSCM) have been identified. The selected CSCM8, CSCM10 and CSCM21 mutant strains show diverse phenotypes with 33–47% reduced chlorophyll content. Further characterization reveal that these selected mutants had 23–44% reduced antenna size, improved effective quantum yield of PSII [Y(II)], reduced regulated (light-activated) energy dissipation Y(NPQ), and reduced non-photochemical quenching (NPQ). Moreover, the characterised mutants in artificial condition showed 19–34% increase biomass productivity. The study indicates that genetic modification of C. sorokiniana with smaller antenna size can improve the biomass content; further, these mutants can be used for strain improvement having higher lipid content.
The impact of primary dysmenorrhea on the adolescents` activities and school attendance
Authors: Donayeva Ainur , Amanzholkyzy Ainur , Nurgaliyeva Roza , Gubasheva Gulnara , Saparbayev Samat , Ayaganov Dinmukhamed , Kaldybayeva Aiman , Abdelazim Ibrahim A. , Samaha Ihab I.
Published: February 2023

Background: The primary dysmenorrhea is the most prevalent menstrual problem in adolescence, which affects their daily activities, and it is the most common cause of adolescents` school absenteeism.
Objectives: To detect the impact of primary dysmenorrhea on the adolescents` activities, and school attendance.
Methods: One hundred and eighty (180) adolescents between 12-18 years-old with primary dysmenorrhea were included in this study. After thorough evaluation, a trans-abdominal pelvic ultrasound was done for the studied participants to exclude any pelvic pathology.
The severity of the participants’ dysmenorrhea was assessed using the visual analogue scale (VAS). Participants were categorized based on the VAS into, mild dysmenorrhea (VAS 1-3), moderate dysmenorrhea (VAS 4-7), and severe dysmenorrhea (8-10) groups. Participants were asked whether the dysmenorrhea based on its severity (i.e., mild (VAS 1-3), moderate (VAS 4-7), or severe (VAS 8-10)), negatively affect their physical, and social activities, or their school attendance or not. The one-way ANOVA test was used to compare between the studied groups. The Pearson`s correlation was used to detect the relation between the severity of dysmenorrhea, and its negative impact on the adolescents’ activities, and school attendance.
Results: There was a significant positive correlation between the severity of dysmenorrhea, and its negative impact on the adolescents’ physical activities (r = 0.395; P<0.00001), and between the severity of dysmenorrhea, and its negative impact on the adolescents’ social activities (r = 0.658; P<0.00001). There was also a significant positive correlation between the severity dysmenorrhea and its negative impact on the adolescents’ school attendance (r = 0.416; P<0.00001).
Conclusion: The odds of negative impact of dysmenorrhea on the adolescents` physical, and social activities, and on their school, attendance were significantly higher in adolescents suffering from moderate, and severe dysmenorrhea compared to adolescents with mild dysmenorrhea.
Duality and Sum on frames in Q-Hilbert spaces
Authors: Fu Yan-Ling , Xu Xin-Zhong
Published: February 2023

Quaternionic Hilbert space has received great attention in the research of quantum physics. The duality and sum of frames are hot issues in frame theory.In this paper,We firstly introduce the notion of pre-frame operators on frames in Q-Hilbert spaces, and characterize Hilbert(orthonormal) bases,frames, dual frames and Riesz bases, and obtain the accurate expressions of all dual frames of a given frame by taking advantage of pre-frame operators.We also characterize the dual frames through an operator equation. Secondly,we discuss sums of frames with the help of the pre-frame operators, and gain some more general methods to construct new frames. Moreover, we obtain a necessary and sufficient condition for the finite sum of frames to be a (tight) frame.
Safety of Cov2-Bio COVID-19 Vaccine in Healthy Populations Aged 18 years and Above in Indonesia
Authors: Koesnoe Sukamto , Maria Suzy , Sekartini Rini , Soejdatmiko Soedjatmiko , Medise Bernie Endyarni , Yuniar Irene , Indawati Wahyuni , Wirahmadi Angga , Sari Rini Mulia , Adi Nuri Purwito , Retnaningdyah Windri , Olfriani Ciho
Published: February 2023

Background
According to WHO Target Product Profile for COVID-19 Vaccines, vaccine development should be indicated for active immunization in all populations, including the elderly, in conjunction with other control measures to curtail or end an outbreak. In this study, we evaluated the safety of SARS-CoV-2 protein subunit recombinant vaccine (CoV2-Bio) in healthy population aged 18 years and above in Indonesia.
Methods
This study is an observer-blinded, randomized, and controlled prospective phase 1 intervention study about the safety of CoV2-Bio COVID-19 vaccine. We evaluated the safety in two age groups: adult (18–59 years old) and elderly (above 60 years old). There were 54 healthy participants in total, of which 30 were adults and 24 were elderly. Each group was then randomized to receive either three doses of CoV2-Bio COVID-19 or two doses of Sinovac and one placebo. The vaccines in both groups were administered approximately 28 days apart. Subjects were followed up to approximately 3 months. We analyzed the data using IBM SPSS 25.
Results
A total of 54 healthy participants divided into adult (n = 30) and elderly (n = 24) groups were enrolled. There was no significant difference of any local or systemic adverse event in terms of incidence rate or intensity in control group and vaccine group. No serious adverse events were deemed related to vaccine administration.
Conclusion
CoV2-Bio COVID-19 vaccine is safe in healthy populations aged 18 years old and above.
Trial registration:
This study has been registered in ClinicalTrials.gov ID: NCT05067894 on October 5, 2021.
Confirmation Key Genes Associated with TNM Staging Classified as T3 and T4 in Lung Squamous Cell Carcinoma with Bioinformatics Analysis
Authors: Li Qian , Liu Hao , Li Ke , Wang Hui , Tian Ciqiu , Zhou Wei , Li Dinglin
Published: February 2023

Background: Lung cancer is a high occurrence rate and mortality rate cancer. Non-small cell lung cancer (NSCLC) is confirmed in 80–85% of lung cancer cases. Lung squamous cell carcinoma (LUSC) is frequently diagnosed at the advanced stage with poor prognoses. The size of tumor was an important indicator of the prognosis.
Methods: TCGA database and GEO database were performed to download transcriptome data and clinical information of LUSC. Firstly, we identified differentially expressed genes (DEGs) between TNM stage as T3-T4 and T1-T2 of LUSC patients in TCGA datasets. Furthermore, PPI was applied to identify proteins that interact actively during the process of tumorigenesis. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) were consulted to explore the enriched biological processes and pathways of the DEGs. After that, LASSO Cox regression algorithms were employed to confirm tumor size-related signature. In addition, survival analysis (including nomogram, Kaplan–Meier method, ROC curve, GSVA, and correlation matrix) was performed to achieve a accurate prognostic model. Finally, the GEO database was applied to check the tumor size-related prognostic features.
Results: 1267 genes were identified as DEGs. And we can conclude that DEGs primarily concentrated in membranes, defence response to bacterium , transmembrane signaling receptor activity and olfactory transduction by the results from GO functions and KEGG pathways analysis. Five genes about tumour size-related risk signature including PCGF2, ULK3, MCRIP1,UCKL1, and CCDC18-AS1 were selected to forecast overall survival of LUSC patients. The credibility of prediction model was verified in GSE68825 and GSE68793. The LUSC patients were divided into low-risk score and high-risk score groups according to average value of risk score. Scatter plots show that patients in high-risk score group had shorter survival time.
Conclusion: Our study identified five biomarkers that were related to tumor size in the LUSC. The prognostic model can efficiently predict the survival status of patients. In addition, the several biomarkers are conductive to further investigate therapies and forecast prognosis of LUSC.
Prenatal anxiety during the pandemic context is related to neurodevelopment of 6-month-old babies
Authors: López-Morales Hernán , Canet-Juric Lorena , del-Valle Macarena Verónica , Andrés María Laura , López Marcela Carolina , Urquijo Sebastián
Published: February 2023

Prenatal anxiety and depression in pandemic context could introduce changes in the fetal developmental trajectories that, ultimately, could alter the adaptive behaviors of the offspring, potentially affecting, for example, general neurodevelopment. The sample consisted of 105 mother-child dyads, recruited between March and May 2020. The dyads were evaluated longitudinally, prenatally and postnatally (6 months). The Pandemic Impact Questionnaire, the State-Trait Anxiety Inventory and the Beck-II Depression Inventory were used to assess indicators of maternal anxiety and depression, respectively. Regarding the babies, their mothers responded to Age and Stages: 3, which assesses different dimensions of early neurodevelopment, in addition to a closed questionnaire to identify sociodemographic and maternal and child health variables. A series of mediation models were tested to examine the association between prenatal psychopathology / negative experiences of the pandemic and neurodevelopment. The results indicated that the negative experiences of the pandemic were indirectly associated with the socio-individual and fine motor neurodevelopment of the offspring, through maternal anxiety symptoms, during the third trimester, which functioned as a mediator. It is important to point out the need to implement public health policies that allow a timely evaluation of neurodevelopmental variables during early childhood, which can implement early interventions to reduce the risks associated with these deficits.
Allogeneic hematopoietic stem cell transplantation and pre-transplant strategies in patients with NPM1-mutated acute myeloid leukemia
Authors: Kobbe Guido , Jäger Paul Sebastian , Geyh Stefanie , Bärmann Ben , Kasprzak Annika , Haas Rainer , Germing Ulrich , schroeder thomas , Rautenberg Christina , Kaivers Jennifer
Published: February 2023

Patients with acute myeloid leukemia (AML) and nucleophosmin 1 gene mutations (NPM1mut) show a favorable prognosis with chemotherapy (CT) in the absence of negative prognostic genetic abnormalities. Between 2008 and 2021 64 patients with NPM1mutAML received alloHSCT because of additional adverse prognostic factors (1st line), inadequate response to or relapse during or after CT (2nd line). To expand the evidence in alloTX in NPM1mut AML, clinical and molecular data were retrospectively analyzed with respect to pre-transplant strategies and outcome.
Patients with minimal residual disease negative (MRD-) CR at transplant had better 2-y-PFS and 2-y-OS (77% and 88%) than patients with minimal residual disease positive (MRD+) CR (41% and 71%) or patients with active disease (AD) at transplant (20% and 52%). The 2nd line patients with relapse after completing CT responded well to high dose cytarabine based salvage chemotherapy (salvage CT) in contrast to patients relapsing while still on CT (90% vs 20%, p=0.0170). 2-y-PFS and 2-y-OS was 86% in patients who achieved a 2nd MRD- CR pre alloHSCT.
Outcome in NPM1mutAML depends on disease burden at alloHSCT. Time and type of relapse in relation to CT are predictive for response to salvage CT.
Stabl: sparse and reliable biomarker discovery in predictive modeling of high-dimensional omic data
Authors: Hedou Julien , Maric Ivana , Bellan Grégoire , Einhaus Jakob , Gaudilliere Dyani , Ladant Francois-Xavier , Verdonk Franck , Stelzer Ina , Feyaerts Dorien , Tsai Amy , Ganio Edward , Sabayev Maximilian , Gillard Joshua , Bonham Adam , Sato Masaki , Diop Maïgane , Angst Martin , Stevenson David , Aghaeepour Nima , Montanari Andrea , Gaudilliere Brice
Published: February 2023

High-content omic technologies coupled with sparsity-promoting regularization methods (SRM) have transformed the biomarker discovery process. However, the translation of computational results into a clinical use-case scenario remains challenging. A rate-limiting step is the rigorous selection of reliable biomarker candidates among a host of biological features included in multivariate models. We propose Stabl, a machine learning framework that unifies the biomarker discovery process with multivariate predictive modeling of clinical outcomes by selecting a sparse and reliable set of biomarkers. Evaluation of Stabl on synthetic datasets and four independent clinical studies demonstrates improved biomarker sparsity and reliability compared to commonly used SRMs at similar predictive performance. Stabl readily extends to double- and triple-omics integration tasks and identifies a sparser and more reliable set of biomarkers than those selected by state-of-the-art early- and late-fusion SRMs, thereby facilitating the biological interpretation and clinical translation of complex multi-omic predictive models.
The complete package for Stabl is available online at https://github.com/gregbellan/Stabl.
Gibbs Measures of a Fisher Information Model on Cayley Trees
Authors: Botirov Golibjon , Nazirov Madali
Published: February 2023

We consider a Fisher Information model, with spin values from the setof all natural numbers, on and interested in tree-automorphisen invariant Gibbs measuresof the model. We study the set of translation-invariant Gradient Gibbs measures for themodel and shov that there are at most three coordinate constant and non-constant.
AMS Subject Classification: 20B07, 20E06.