bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of the effectiveness of NLR, LMR, PLR, d-NLR, LeCR, LCR, NMR bioparameters in the course of COVID-19
Authors: ÇELİK Didem , İNCEER Özge
Published: December 2023

Background/Objective: Severe inflammatory response of the immune system has a serious role in the progression of Coronavirus disease 2019 (COVID-19). The clinical benefits of early diagnosis of immune activation of COVID-19 have been emphasized repeatedly in the trials to this date. In this study, neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), derived neutrophil-to-lymphocyte ratio (d-NLR), lymphocyte-to-C reactive protein ratio (LCR), leukocyte-to-C reactive protein ratio (LeCR), neutrophil-to-monocyte ratio (NMR) biomarkers were evaluated for predicting clinical course of COVID-19.

Methods: In this retrospective cohort study, 383 laboratory-confirmed COVID-19 cases, who had been hospitalized in a tertiary care hospital between April and November 2020, were included. Patients, including 279 mild and 104 severe cases, were sequentially selected. Blood tests, conducted at the time of admission, were examined. Data was analyzed and ROC analysis was performed by using SPSS 22.0 program.

Results: 44.3% of the patients included in the study were female, 99.2% of the patients had viral pneumonia, 27.2% met clinical criteria for severe disease and median age was 58 years. Age, duration of hospitalization, white blood cell count, neutrophil count, ferritin, CRP, procalcitonin, D-dimer, troponin levels were higher and lymphocyte, monocyte counts were lower in the group with clinically severe disease. The diagnostic sensitivities of LCR, CRP, d-NLR, NLR, LeCR were found to be high (AUC> 0.8) for the prediction of clinical severity with cut-off values of 15, 74.65, 2.55, 4, 133 respectively.

Conclusion: High CRP, d-NLR, NLR and low LCR, LeCR are early predictors of the clinical severity, these patients should be under hospital follow-up for close monitoring and early intervention.
Analysis of Student Interest in Studying at STIE Gentiaras Bandar Lampung Through Advertising Media
Authors:   Sekolah Tinggi Ilmu Ekonomi Gentiaras, Lampung, Jordan Jordan , Kusumawati Theresia Dhian ,   Sekolah Tinggi Ilmu Ekonomi Gentiaras, Lampung
Published: December 2023

The purpose of this study is to analyze students' lecture interest at STIE Gentiaras Bandar Lampung through advertising media. This type of study is causality associative study. The population in this study were all active students of STIE Gentiaras. The sampling technique in this study used the Proportional Stratified Random Sampling Technique with a total sample of 200 respondents. The data analysis method in this study used Simple Linear Regression Analysis. The result of data analysis in this study shows that there is an effect of advertising media towards students' lecture interest at STIE Gentiaras Bandar Lampung.
The Effect of Good Corporate Governance on the Financial Performance of Mining Companies
Authors:   Universitas Sanata Dharma, Yogyakarta, Indonesia, Silitonga Merry Kristina , Sinaga Klemensia Erna Christina ,   Universitas Sanata Dharma, Yogyakarta, Indonesia
Published: December 2023

The objective of the study is to identify the effect of board of directors’ size, board of commissioners' size, audit committee and board of independent commissioner’s proportion towards the financial performance of mining companies that listed in the Indonesian Stock Exchange from 2013 to 2017. The background of the study is the essence of the successful implementation of Good Corporate Governance through the internal mechanism such as board of directors, board of commissioners and audit committee. The researcher used Return on Investment (ROI) as measurement of company’s financial performances. Method used in this study is empirical study. The researcher used secondary data that had been gathered from the Indonesian Stock Exchange (ISE). The data used in this study are 28 mining companies listed in ISE with their financial information from 2013 to 2017. To analyses those data, the researcher used statistics tool SPSS and used multiple linier regression analysis. The result of the analysis shows that the board of directors’ size has positive effect towards the financial performance of the sampled company. On the other hand, the result of the analysis also shows that board of commissioners' size, audit committee size and board of independent commissioners’ proportion has no effect towards the financial performance of the sampled companies.
Perancangan Realtime Database Firebase untuk IoT dan Unity Menggunakan Metode SDLC
Authors: Mahendra Dhewan Agum , Winardi Slamet
Published: December 2023

IoT (Internet of Thing) merupakan teknologi yang dapat digunakan untuk melakukan kontrol jarak jauh dan Unity adalah game engine yang sekarang sering dijumpai dalam beberapa aplikasi mobile maupun desktop. Dalam beberapa pengembangan IoT (Internet of Thing) dan Unity membutuhkan basis data untuk penyimpanan data, data yang disimpan juga beragam seperti waktu, kondisi, dan sebagainya. Penggunaan Realtime Database Firebase pada IoT (Internet of Thing) dan Unity dengan data yang sama agar bisa saling bertukar data dapat menjadi uji coba pengembangan teknologi di era sekarang. Metode yang digunakan adalah analis permasalahan dan kebutuhan sistem, perancangan database, implementasi. Hasil yang diharapkan dari perancangan database ini adalah membuatkan basis data yang dapat digunakan untuk saling akses oleh IoT (Internet of Thing) dan Unity, serta mengetahui bagaimana pengaruh penggunaan Realtime Database Firebase pada IoT (Internet of Thing) dan Unity sekaligus.
Grandparents in Strengthening Children’s Spiritual Intelligence in Mlaten Village, Mijen District, Demak Regency
Authors: MUBAROK M. ALI
Published: December 2023

Abstract:
Grandparenting is childcare carried out by surrogate parents (grandparents) where grandparents are part of a large family that is trusted by parents to care for their children either temporarily or permanently, in their care grandparents educate their grandchildren in the ability to strengthen spiritual intelligence which is covering a wide variety. This study uses qualitative field research, where data is obtained through interviews. The results of the study stated that the background of the occurrence of grandparents was due to various things: infidelity, divorce, or being left by their parents to work. Then grandparents in strengthening children's spiritual intelligence by familiarizing themselves with religious activities such as: learning the Koran, praying in congregation, and training themselves to be honest in all things. Then the impact of grandparents is being able to strengthen religious traits in everyday life such as worship activities, socializing well, and being able to distinguish between good and bad traits.
Keywords: Grandparenting, Spiritual Intelligence, Children
ÖRGÜT YAPISI VE İHRACAT PERFORMANSI İLİŞKİSİNDE SÜRDÜRÜLEBİLİR REKABET ÜSTÜNLÜĞÜNÜN DÜZENLEYİCİ ROLÜ: MOBİLYA İHRACATI YAPAN İŞLETMELER ÜZERİNE BİR ARAŞTIRMA
Authors: Mutlu Mustafa Emrah , İyigün Necla Öykü
Published: December 2023

Mevcut ekonomik koşulların etkisi ve gelişmekte olan ekonomilerde artan rekabetle birlikte Türkiye’de mobilya ihracatı yapan işletmeler sürdürülebilir rekabet üstünlüğünü daha avantajlı hale getirmek ve ihracat performansını artırmak için kaynaklarını geliştirmek ve verimli kullanmak zorundadır. Sürekli gelişen uluslararası ticaret ortamında sürdürülebilir rekabet üstünlüğü kazanmak ihracat performansı için önemli bir faktör olarak kabul edilmektedir. Uluslararası pazarlarda sınırların dikkate alınmaması, amansız rekabet, ürün yaşam döngülerinin kısalması ve işletme sayısındaki hızlı yükseliş gibi dinamik kavramlar etrafında şekillenen ortamda, işletmelerin örgüt yapısı yönelimleri önem kazanmaktadır. Bu çalışmada Türkiye’de mobilya ihracatı yapan işletmelerde örgüt yapısı ve ihracat performansı ilişkisinde sürdürülebilir rekabet üstünlüğünün düzenleyici rolü incelenmiştir. Örgüt yapısının ihracat performansı üzerindeki etkisinin anlamlı olduğu ve bu etkinin pozitif düzeyde olduğu belirlenmiştir. Bununla birlikte örgüt yapısının ihracat performansı üzerindeki etkisinde sürdürülebilir rekabet üstünlüğünün düzenleyici rolünün olmadığı tespit edilmiştir. Araştırmanın evreni Türkiye’de mobilya ihracatı yapan işletmelerin üst-orta düzey yöneticilerinden oluşmaktadır. Bu evrenden kolayda örneklem yöntemi ile seçilen 210 işletme içinden 240 üst-orta düzey yöneticiden yüz yüze ve çevrimiçi olarak veriler toplanmıştır.
E-detectors: A Nonparametric Framework for Sequential Change Detection
Authors: Shin Jaehyeok , Ramdas Aaditya , Rinaldo Alessandro
Published: December 2023

Sequential change detection is a classical problem with a variety of applications. However, the majority of prior work has been parametric, for example, focusing on exponential families. We develop a fundamentally new and general framework for sequential change detection when the pre- and post-change distributions are nonparametrically specified (and thus composite). Our procedures come with clean, nonasymptotic bounds on the average run length (frequency of false alarms). In certain nonparametric cases (like sub-Gaussian or sub-exponential), we also provide near-optimal bounds on the detection delay following a changepoint. The primary technical tool that we introduce is called an e-detector, which is composed of sums of e-processes—a fundamental generalization of nonnegative supermartingales—that are started at consecutive times. We first introduce simple Shiryaev-Roberts and CUSUM-style e-detectors, and then show how to design their mixtures in order to achieve both statistical and computational efficiency. Our e-detector framework can be instantiated to recover classical likelihood-based procedures for parametric problems, as well as yielding the first change detection method for many nonparametric problems. As a running example, we tackle the problem of detecting changes in the mean of a bounded random variable without i.i.d. assumptions, with an application to tracking the performance of a basketball team over multiple seasons.
NİYAZİ SAYIN'IN UŞŞAK MAKAMINDAKİ TAKSİMLERİ EKSENİNDE SEGAH PERDESİ VE UŞŞAK MAKAMI SEYİR ANLAYIŞI
Authors: PINARBAŞI Emre
Published: December 2023

ÖZ

Bu çalışmada amaç, Türk müziğinin ünlü neyzeni Niyazi Sayın'ın Uşşak makamındaki taksimlerinin analiz edilerek Segah perdesi ve Uşşak makamı seyir anlayışına ışık tutulması amaçlanmaktadır. Çalışmanın temel hedefi, Uşşak makamında gerçekleştirilen taksimlerin karakteristik özelliklerini, yapılarını ve Segah perdesinin bu makamda nasıl kullanıldığını incelemektir.

Çalışmada, Niyazi Sayın'ın Uşşak makamındaki taksimlerini içeren ses kayıtlarının müzikal analizi üzerinden yürütülecektir. Sayın'ın taksimlerinin müzik teorisi ve analitik yöntemlerle incelenerek Segah perdesinin ve Uşşak makamının özellikleri belirlenecektir. Ayrıca, Türk müziği makamları ve seyir kavramı üzerine yapılmış literatür taraması da çalışmanın temelini oluşturacaktır.

Yapılan analizler sonucunda, Niyazi Sayın'ın Uşşak makamındaki taksimlerinin Segah perdesinin kullanımında ve Uşşak makamının seyir özelliklerinde dikkate değer benzerlikler ve farklılıklar gösterdiği tespit edilmiştir. Sayın'ın taksimlerinde Segah perdesinin Uşşak makamıyla olan ilişkisi ve bu ilişkinin seyir anlayışına etkisi, analizlerde ayrıntılı olarak ortaya konulmaktadır.

Çalışma, Niyazi Sayın'ın Uşşak makamındaki taksimlerinin Segah perdesi ve Uşşak makamı seyir anlayışına önemli katkılar sağladığını göstermektedir. Sayın'ın taksimlerinin analizi, Uşşak makamının ve Segah perdesinin kullanımıyla ilgili özgün bilgiler sunarak Türk müziği alanında bilgi birikimine katkıda bulunmaktadır.

Bu çalışma, gelecekteki araştırmalar için önemli bir temel oluşturarak, Türk müziği makamlarının ve seyir kavramının daha kapsamlı analizlerle incelenmesini teşvik etmektedir. Özellikle Niyazi Sayın gibi ünlü ustaların taksimlerinin incelenmesi, Türk müziği teorisine ve makam anlayışına daha geniş bir perspektif sunacaktır. Ayrıca, bu tür analizlerin Türk müziği eğitiminde kullanılması, öğrencilere makamların ve seyir anlayışının daha derinlemesine kavranması konusunda yardımcı olacaktır.
Aerosol absorption using in situ filter-based photometers and ground-based sun photometry in the Po Valley urban atmosphere
Authors: Bigi Alessandro , Veratti Giorgio , Andrews Elisabeth , Collaud Coen Martine , Guerrieri Lorenzo , Bernardoni Vera , Massabò Dario , Ferrero Luca , Teggi Sergio , Ghermandi Grazia
Published: December 2023

Abstract. Light-absorbing aerosols (LAAs) are short-lived climate forcers with a significant impact on Earth's radiative balance. LAAs include dust aerosols, black carbon (BC) and organic light-absorbing carbonaceous aerosol (collectively termed brown carbon, BrC), which have also been proven to be highly toxic. In this study, aerosol absorption at five wavelengths (ranging from ultraviolet to infrared) was monitored continuously using filter-based photometers during two winter seasons in 2020 and 2021 in the city of Modena (southern central Po Valley, northern Italy), at two regulatory air quality monitoring sites, along with other pollutants (coarse particulate matter, PM10; fine particulate matter, PM2.5; O3; NO; NO2; and C6H6) and the vehicular traffic rate. The aerosol optical depth (AOD) and other column aerosol optical properties were concurrently monitored at four wavelengths by an AErosol RObotic NETwork (AERONET) sun photometer under urban background conditions within Modena. In situ absorption levels were apportioned to both sources (fossil fuel and biomass burning) and species (BC and BrC), while columnar absorption was apportioned to BC, BrC and mineral dust. The combined analysis of the atmospheric aerosol and gas measurements and of the meteorological conditions (in situ and from the ERA5 reanalysis) identified the location of potential urban sources of BC and BrC, most likely related to traffic and biomass burning. In situ data show different diurnal/weekly patterns for BrC from biomass burning and BC from traffic, with minor differences between the background and the urban traffic conditions. AERONET version 3 absorption aerosol optical depth (AAOD) retrievals at four wavelengths allowed the estimation of the absorptive direct radiative effect due to LAAs over the same period under the reasonable assumption that the AOD signal is concentrated within the mixing layer. AERONET retrievals showed a modest correlation of columnar absorption with planetary boundary layer (PBL)-scaled in situ observations, although the correlation improved significantly during a desert dust transport event that affected both in situ aerosol and columnar absorption, particularly in the blue spectrum range. A low correlation occurred between the contribution of BrC to aerosol absorption for the in situ and the columnar observations, with the BrC contribution being generally larger for in situ observations. Finally, evidence of a highly layered atmosphere during the study period, featuring significant spatial mixing and modest vertical mixing, was shown by ERA5-based atmospheric temperature profiles and by the large correlation of concurrent AERONET AOD retrievals in Modena and in Ispra (on the northwestern side of the Po Valley, ca. 225 km from Modena).
Approximation of High Intensity Radiated Field by Direct Current Injection using matrix methods based on Characteristic Mode Analysis
Authors: Ückerseifer Jan , Gronwald Frank
Published: December 2023

Abstract. This contribution discusses the approximation of radiated by conducted immunity tests by the example of High Intensity Radiated Field (HIRF) and Direct Current Injection (DCI) based on a surface current analysis. For this purpose, Characteristic Mode Analysis (CMA) is applied to provide basis functions for a surface current expansion in Characteristic Modes. Via a matrix-based basis transformation algorithm involving Characteristic Mode data of both HIRF and DCI test setups, suitable DCI surface currents are derived. The approximation of HIRF surface currents by the computed DCI surface currents is analyzed for exemplary DUTs over a broad frequency range. Within this frequency range, those DCI frequencies leading to an optimal approximation of the HIRF current are determined. Concerning practical issues in DCI testing, the influence of DCI adapter parameters on the surface current approximation is elucidated. The numerical results show that DCI can approximate HIRF at low frequencies largely independent from the DCI adapter setting, whereas at high frequencies an approximation is difficult to realize.
Generalized Efficiency and the Uncertainty of Millimeter Wave Power Standard
Authors: Perangin-Angin Windi Kurnia , Kuhlmann Karsten , Rühaak Jürgen
Published: December 2023

Abstract. In the last decade, waveguide thermoelectric power sensors have been established as an alternative to thermistor mounts for millimeter wave power standards, and due to the detection principle and the nature of waveguides, the generalized efficiency is used as calibration quantity instead of the effective efficiency. In this paper, the generalized efficiency and the measurement uncertainty of waveguide thermoelectric sensors are presented and applied to calibrate other types of power sensors in a measurement set-up for frequency up to 170 GHz. Results for commercially available waveguide power sensors are discussed for the interfaces R 900 and R 1.4k.
Early Twentieth Century Southern Hemisphere Cooling
Authors: Brönnimann Stefan , Brugnara Yuri , Wilkinson Clive
Published: December 2023

Abstract. Global surface air temperature increased by ca. 0.5 °C from the 1900s to the mid-1940s, also known as Early Twentieth Century Warming (ETCW). However, the ETCW started from a particularly cold phase, peaking in 1908–1911. The cold phase was global but more pronounced in the Southern Hemisphere than in the Northern Hemisphere and most pronounced in the Southern Ocean, raising the question whether uncertainties in the data might play a role. Here we analyse this period based on reanalysis data and reconstructions, complemented with newly digitized ship data from 1903–1916 as well as land observations. The cooling is seen consistently in different data sets, though with some differences. Results suggest that the cooling was related to a La Niña-like pattern in the Pacific, a cold tropical and subtropical South Atlantic, a cold extratropical South Pacific, and cool Southern midlatitude land areas. The Southern Annular Mode was positive, with a strengthened Amundsen-Bellingshausen seas low, although the spread of the data products is considerable. All results point to a real climatic phenomenon as the cause of this anomaly and not a data artefact. Atmospheric model simulations are able to reproduce temperature and pressure patterns, consistent with a real and perhaps ocean-forced signal. Together with two volcanic eruptions just before and after the 1908–1911 period, the early 1900s provided a cold start into the ETCW.
A database of glacier microbiomes for the Three Poles
Authors: Liu Yongqin , Hu Songnian , Yu Tao , Luo Yingfeng , Zhang Zhihao , Chen Yuying , Guo Shunchao , Sun Qinglan , Fan Guomei , Wu Linhuan , Ma Juncai , Liu Keshao , Liu Pengfei , Liu Junzhi , Ji Mukan
Published: December 2023

Abstract. Glaciers cover 10 % of Earth’s land area and are a pool of carbon and nitrogen for downstream ecosystems. Microbes, including bacteria, fungi, algae, and other microeukaryotes, are the primary inhabitants of glacier ecosystems and are key drivers of carbon and nitrogen transformation. Here, we present a dataset on supraglacial bacteria and archaea (referred to as microorganisms hereafter) communities across Antarctic, Arctic, and Tibetan glaciers. The dataset comprises 815 amplicon sequencing data, 952 cultured bacterial genomes data, and 208 metagenome data, covering ice, snow, and cryoconite habitats. The dataset contains 67,224 amplicon sequencing phylotypes, with a higher microbial diversity in the Tibetan glaciers than in the Antarctic and Arctic glaciers, which were respectively enriched with Gammaproteobacteria, Bacteroidota, and Alphaproteobacteria. Additionally, 2,517 potential pathogens were identified, accounting for 1.9 % of the total microorganisms identified. Snow and ice exhibited a higher relative abundance of pathogens than cryoconite, which could be attributed to the similar adaptation mechanisms for microbial survival in aerosol and immune evasion. The dataset contains 62,595,715 unique genes and 4,327 microbial genomes, a 34 % expansion from previous publications. Genes were annotated for those associated with carbohydrate-active enzymes, nitrogen cycling, methane cycling, antimicrobial resistance, and microbial virulence, revealing the dynamic microbial functions in glacial habitats. This comprehensive dataset provides standardized microbial diversity, taxonomy, community structure, and genetic functions of glacial microbiomes. The data can be leveraged to elucidate ecological principles governing the distribution of microorganisms, to gain insights into the key functional genes for supraglacial microbiomes, to build mechanistic models, and to identify any potential biohazards for policymakers to make informed decisions regarding climate change. The dataset is available at the National Tibetan Plateau Data Center (https://doi.org/10.11888/Cryos.tpdc.300830, Liu et al., 2023)
Machine-learning-based nowcasting of the Vögelsberg deep-seated landslide: why predicting slow deformation is not so easy
Authors: van Natijne Adriaan L. , Bogaard Thom A. , Zieher Thomas , Pfeiffer Jan , Lindenbergh Roderik C.
Published: December 2023

Abstract. Landslides are one of the major weather-related geohazards. To assess their potential impact and design mitigation solutions, a detailed understanding of the slope processes is required. Landslide modelling is typically based on data-rich geomechanical models. Recently, machine learning has shown promising results in modelling a variety of processes. Furthermore, slope conditions are now also monitored from space, in wide-area repeat surveys from satellites. In the present study we tested if use of machine learning, combined with readily available remote sensing data, allows us to build a deformation nowcasting model. A successful landslide deformation nowcast, based on remote sensing data and machine learning, would demonstrate effective understanding of the slope processes, even in the absence of physical modelling. We tested our methodology on the Vögelsberg, a deep-seated landslide near Innsbruck, Austria. Our results show that the formulation of such a machine learning system is not as straightforward as often hoped for. The primary issue is the freedom of the model compared to the number of acceleration events in the time series available for training, as well as inherent limitations of the standard quality metrics such as the mean squared error. Satellite remote sensing has the potential to provide longer time series, over wide areas. However, although longer time series of deformation and slope conditions are clearly beneficial for machine-learning-based analyses, the present study shows the importance of the training data quality but also that this technique is mostly applicable to the well-monitored, more dynamic deforming landslides.
Variations in boundary layer stability across Antarctica: a comparison between coastal and interior sites
Authors: Dice Mckenzie J. , Cassano John J. , Jozef Gina C. , Seefeldt Mark
Published: December 2023

Abstract. The range of boundary layer stability profiles, from the surface to 500 m a.g.l. (above ground level), present in radiosonde observations from two continental-interior (South Pole Station and Dome Concordia Station) and three coastal (McMurdo Station, Georg von Neumayer Station III, and Syowa Station) Antarctic sites, is examined using the self-organizing maps (SOMs) neural network algorithm. A wide range of potential temperature profiles is revealed, from shallow boundary layers with strong near-surface stability to deeper boundary layers with weaker or near-neutral stability, as well as profiles with weaker near-surface stability and enhanced stability aloft, above the boundary layer. Boundary layer regimes were defined based on the range of profiles revealed by the SOM analysis; 20 boundary layer regimes were identified to account for differences in stability near the surface as well as above the boundary layer. Strong, very strong, or extremely strong stability, with vertical potential temperature gradients of 5 to in excess of 30 K per 100 m, occurred more than 80 % of the time at South Pole and Dome Concordia in the winter. Weaker stability was found in the winter at the coastal sites, with moderate and strong stability (vertical potential temperature gradients of 1.75 to 15 K per 100 m) occurring 70 % to 85 % of the time. Even in the summer, moderate and strong stability is found across all five sites, either immediately near the surface or aloft, just above the boundary layer. While the mean boundary layer height at the continental-interior sites was found to be approximately 50 m, the mean boundary layer height at the coastal sites was deeper, around 110 m. Further, a commonly described two-stability-regime system in the Arctic associated with clear or cloudy conditions was applied to the 20 boundary layer regimes identified in this study to understand if the two-regime behavior is also observed in the Antarctic. It was found that moderate and strong stability occur more often with clear- than cloudy-sky conditions, but weaker stability regimes occur almost equally for clear and cloudy conditions.
La producción de la marca personal a través de Instagram: intersecciones entre feminidad y neoliberalismo en la proyección estética y corporal de las influencers
Authors: Carretero García Carlota , Borges Gómez Efrén
Published: December 2023

A lo largo de este artículo, se abordará la producción generizada de la imagen pública de influencers mujeres, concretamente su dimensión estética y corporal, a través de su actividad digital dirigida a la construcción de sí mismas como marca personal. El interés de este objeto de investigación reside en la capacidad de las influencers, como ingenieros culturales, para canalizar y movilizar interpelaciones identitarias que encapsulan maneras correctas y legítimas de producirse como sujetos. Centraremos nuestro análisis en la red social Instagram, atendiendo al contenido visual referente a la presentación estética y corporal por parte de diferentes influencers mujeres dedicadas al fitness y el lifestyle. Concretamente, se analizará la utilidad estratégica de la producción de una determinada imagen corporal (femenina) como herramienta legitimadora generizada del self como marca. También se prestará atención a cómo se desarrolla la relación entre esa proyección corporal y la producción de un determinado ethos y la movilización de un gobierno emocional que capitaliza emociones como la felicidad.
Ovarian tuberculosis: Challenges in diagnosis in a low resource settings
Authors:   Catholic University of Health and Allied sciences, Mwanza, Tanzania, Matovelo Dismas
Published: December 2023

Tuberculosis continues to be endemic in developing countries. Despite genitourinary tuberculosis being common, reports of isolated ovarian tuberculosis are rare, further its presentation can mimic that of ovarian cancer. Challenge arises when evaluating patients who lack usual clinical symptoms and laboratory evidence required for correct diagnosis.
Combined hepatocellular and cholangiocarcinoma: A rare pathological diagnosis, clinically mimicking its parent phenotypes
Authors:   King Georges Medical University Lucknow, Uttar Pradesh, 226003, India, Gupta Indra Jeet
Published: December 2023

A middle-aged female presented with vague abdominal symptoms that after diagnostic and staging work up was revealed to be an advanced case of combined hepatocellular and cholangiocarcinoma (cHCC-CCA). She was started on systemic chemotherapy inspite of which experienced disease progression
From inflammation to prolapse: Chronic cervicitis and the development of uterocervical prolapse- A clinical insight
Authors:   All India Institute of Medical Sciences, Bhopal, India., Choudhury Satish
Published: December 2023

Uterine prolapse is the herniation of the uterus into or beyond the vagina as a result of the failure of ligamentous and fascial supports. It is almost always accurately diagnosed by clinical examination but maybe sometimes confused with its differential diagnoses.
Restricted diffusion in the corpus callosum: Marchiafava-Bignami disease
Authors:   Mohammed V University, Rabat, Morocco., Soukaina El Amrani
Published: December 2023

Marchiafava-Bignami disease (MBD) is a very rare demyelinating/necrotic disorder of the corpus callosum and nearby subcortical white matter, seen mostly in chronic alcoholics. We present here the magnetic resonance imaging findings of Machiafava-Bignami disease in a 75-year-old man with a history
Is synthesizing a Cu35Co35Ni20Ti5Al5 high-entropy alloy beyond the rules of solid-solution formation?
Authors: Mamnooni Samaneh , Borhani Ehsan , Heydari Hassan
Published: December 2023

In this research, an attempt was made to produce multi-component nanocrystalline Cu­35Co35Ni20Ti5Al5 alloy by mechanical alloying. To produce this high-entropy alloy, the primary powders were milled for 40 h and characterized by XRD, SEM, EDS, and DSC analyses. The milling process has reduced the size of the crystallites to the nanometer scale and a nanostructured multicomponent powder with a crystallite size of 29 nm was obtained. According to the XRD patterns and EDS maps of the milled powder for the longest time, aluminum and copper were homogeneously distributed, cobalt had a less homogeneous distribution than these two elements, but nickel and titanium remained in concentrated spots. Finally, thermodynamic calculations were done to clarify the reason for the impossibility of forming a solid solution for the synthesis of the Cu­35Co35Ni20Ti5Al5 high-entropy alloy.
PELATIHAN PENGGUNAAN MEDIA PEMBELAJARAN KELAS BAGI GURU-GURU PENDIDIKAN ANAK USIA DINI SE KECAMATAN PINELENG
Authors: Margareta O. Sumilat  , Devie S. R. Siwij
Published: December 2023

Penggunaan media pembelajaran sangat dianjurkan untuk mempertinggi kualitas pembelajaran. Jika ditinjau dari perpektif komunikasi, pembelajaran pada hakikatnya adalah proses komunikasi yaitu proses penyampaian pesan dari sumber pesan melalui saluran/media tertentu ke penerima pesan. Pesan, sumber pesan, saluran/media dan penerima pesan adalah komponen-komponen proses komunikasi. Pesan yang akan dikomunikasikan adalah isi ajaran ataupun didikan yang ada dalam kurikulum, sumber pesannya bisa guru, siswa, orang lain ataupun penulis buku dan produser media; salurannya adalah media pendidikan dan penerima pesannya adalah siswa atau juga guru.  Dalam   mewujudkan   program   ini, metode   yang dilakukan memiliki   empat tahapan,   diantaranya   yaitu refleksi   sosial, perencanaan program, pelaksaan program dan evaluasi program. Pelatihan hidroponik  ini merupakan  hasil  dari  tahapan  refleksi  sosial  dan  ditujukan kepada  guru-guru PAUD se Kecamatan Pineleng   untuk  menghasilkan  pendidik yang profesional dan kompeten. Pelatihan   ini   dilaksanakan   dengan   dua carapenyampaian, yaitu ceramah dan praktek. Diharapkan Hasil dari pelatihan ini yaitu para peserta  sangat  antusias  dan  berkeinginan  untuk  lebih  mengetahui  penggunaan media pembelajaran Anak Usia Dini
First report of Fusarium subglutinans (Wollenw. & Reinking) (1983) as a causative agent of leaf spot disease on broad bean Vicia faba L. in Iraq
Authors: Baidaa G. Ofi  , Mohammed H. Abass  , Yehya A. Salih
Published: December 2023

Broad bean (Vicia faba L.) is one of the most common vegetable crops in Iraq; cultivated in many areas. Broad bean production has been affected significantly by several diseases caused by either bacteria or fungi; among these pathogens Fusarium have a direct impact on faba beans production. The current study was conducted at the laboratories of the College of Agriculture - University of Basrah to identify the fungal pathogens of broad bean leaf spot disease. Isolation of the fungal pathogen was performed on PDA and PCA media; the morphological and microscopic identification revealed the identity of Fusarium subglutinans, followed a molecular diagnosis by ITS universal primers (ITS1 and ITS4) with  a similarity percentage of 99%; the gene sequence was deposited at NCBI as LC769974.

 Experimental tests confirmed the pathogen's capability to infect the vegetative system of the broad bean plants. This is the first recorded of F. subglutinans being identified as the cause of leaf spotting on broad bean plants, making it a notable discovery in both Iraq and globally.
Effect of spraying with Moringa plant extract and potassium silicate on some vegetative growth indicators of banana seedlings obtained from tissue culture Musa spp
Authors: Riyadh Mhawesh Al-Muhe  , Mahmmod S. Abdul-Wahid
Published: December 2023

The field experiment was conducted in one of the covered greenhouses in Al-Saran affiliated with the College of Agriculture and Marshes, University of Dhi Qar for the 2022-2023 growing season on banana seedlings of the Grand Nine variety resulting from tissue culture in order to determine the effect of Moringa extract and potassium silicate on the vegetative growth characteristics on 2/5/2023. Aged 3 to 4 months, 48 identical offspring were chosen. First, spraying with Moringa leaves extract at four concentrations (0, 5, 10, and 15) g L-1; second, spraying with potassium silicate at four concentrations (0, 1, 2, and 3) ml L-1.

The statistical analysis revealed that Moringa extract at a concentration of 15 g L-1 was superior in terms of all vegetative growth characteristics (plant height (104.38 cm), stem diameter (71.60 mm), number of leaves (10.60), plant leaf-1, and leaf area (1,535.05 square millimeters). cm2, the wet weight of the shoot is (1084.3) g, the dry weight is (120.45 g), and the rate of root propagation is (9.65) g per square centimeter per day. 2 kg-1.

The results of the statistical analysis demonstrated the superiority of potassium silicate at a concentration of 3 ml L-1 in all vegetative growth characteristics (plant height (95.90) cm, stem diameter (67.08) mm, number of leaves (9.28) plant leaf-1, leaf area (1,368.0) cm2, and plant weight (13,680.00 g)). The wet weight of the shoot is (943.9) g, its dry weight is (104.14 g), and its rate of root propagation is (9.71) g.2 kg-1,

As for the combinations, the combination of Mornica extract and potassium silicate at a concentration of (15 g L-1 x 3 ml L-1) performed the best in terms of vegetative characteristics, plant height (125.67 cm), stem diameter (84.80 mm), and number of leaves (13.40). -1, leaf area (1912.22 cm2), shoot wet weight (1417.5) g, shoot dry weight (157.5) g, and root spread rate (11.4) g 2 kg-1.
Biological Control of Fusarium oxysporum, the Causal Agent of Fusarium Basal Rot in Onion by Bacillus spp.
Authors: Shin Jong-Hwan , Lee Ha-Kyoung , Lee Seong-Chan , Han You-Kyoung
Published: December 2023

Fusarium oxysporum is the main pathogen causing Fusarium basal rot in onion (Allium cepa L.), which incurs significant yield losses before and after harvest. Among management strategies, biological control is an environmentally safe and sustainable alternative to chemical control. In this study, we isolated and screened bacteria for antifungal activity against the basal rot pathogen F. oxysporum. Isolates 23-045, 23-046, 23-052, 23-055, and 23-056 significantly inhibited F. oxysporum mycelial growth and conidial germination. Isolates 23-045, 23-046, 23-052, and 23-056 suppressed the development of Fusarium basal rot in both onion seedlings and bulbs in pot and spray inoculation assays. Isolate 23-055 was effective in onion seedlings but exhibited weak inhibitory effect on onion bulbs. Based on analyses of the 16S rRNA and rpoB gene sequences together with morphological analysis, isolates 23-045, 23-046, 23-052, and 23-055 were identified as Bacillus thuringiensis, and isolate 23-056 as Bacillus toyonensis. All five bacterial isolates exhibited cellulolytic, proteolytic, and phosphate-solubilizing activity, which may contribute to their antagonistic activity against onion basal rot disease. Taken together B. thuringiensis 23-045, 23-046, 23-052, and 23-055 and B. toyonensis 23-056 have potential for the biological control of Fusarium basal rot in onion.
The Rapid Apple Decline Phenomenon: Current Status and Expected Associated Factors in Korea
Authors: Lee Seung-Yeol , Peter Kari A. , Das Kallol , Diane Avalos-Ruiz , Jung Hee-Young
Published: December 2023

Rapid apple decline (RAD) is a complex phenomenon affecting cultivated apple trees and particularly dwarf rootstocks on grafted young apple trees. Since its first appearance in the United States, RAD has been reported worldwide, for example in Canada, South America, Africa, and Asia. The phenomenon has also been observed in apple orchards in Korea, and it presented similar symptoms regardless of apple cultivar and cultivation period. Most previous reports have suggested that RAD may be associated with multiple factors, including plant pathogenic infections, abiotic stresses, environmental conditions, and the susceptibility of trees to cold injury during winter. However, RAD was observed to be more severe and affect more frequently apple trees on the Malling series dwarf rootstock. In this study, we reviewed the current status of RAD worldwide and surveyed biotic and abiotic factors that are potentially closely related to it in Korea.
Progress in the study of the effects of medical nutrition therapy on adverse pregnancy outcomes in patients with gestational diabetes mellitus and their offspring
Authors: Hou Xiaoying
Published: December 2023

Gestational diabetes mellitus (GDM) belongs to a particular type of diabetes mellitus. Not only are patients with GDM at a more significant risk of converting to diabetes mellitus later in life, but GDM can also have both short-term and long-term effects on the health of the mother and child, such as congenital anomalies, spontaneous abortions, macrosomia, preterm labor, excessive amniotic fluid, and many other adverse outcomes. Medical nutrition therapy (MNT) interventions for patients with GDM can be extremely beneficial to the pregnancy outcomes of GDM patients and their offspring by helping them to act on their individual and clear health goals and adopt healthy behaviors. The article starts from the effect of MNT on the pregnancy outcome of GDM patients and their offspring, reviews the latest research progress on the adverse pregnancy outcome of GDM patients and their offspring, and analyzes the problems and importance of medical nutrition therapy for GDM patients with the aim of better promoting the outcome of GDM patients mothers and infants, and reaching the long-term effect of MNT.
Verbal memory deficits in schizophrenia
Authors: Yu Yitong
Published: December 2023

Schizophrenia is a severe mental disorder characterized by multifactorial etiology, encompassing genetic and environmental risk factors, as well as structural brain abnormalities. The disorder manifests through a spectrum of symptoms, broadly categorized as positive, negative, and cognitive impairments. Among these cognitive deficits, verbal memory impairment stands out as a substantial and pivotal symptom of schizophrenia, significantly predicting future functional outcomes. This deficit primarily arises from a substantial decline in encoding ability coupled with a mild increase in forgetting rate. To assess the extent of this impairment, word list learning tasks are commonly employed. Research has established a clear association between verbal memory deficits and alterations in hippocampal volume, aberrant brain responses, and anomalies in spontaneous brain activity. Although targeted pharmacological interventions for verbal memory deficits are currently lacking, medications aimed at enhancing cognitive function, such as aripiprazole, present a viable interim option. Future research endeavors should focus on exploring the fundamental aspects of memory and brain structure and function, while incorporating advanced techniques like repetitive transcranial magnetic stimulation (rTMS) into investigations of verbal memory deficits. Additionally, the development of animal models capable of simulating verbal memory deficits holds promise for advancing our understanding of this critical aspect of schizophrenia.
Microbiome and common viral infections in acute viral gastroenteritis patients
Authors: Chen YuTong
Published: December 2023

Acute gastroenteritis (AGE) is a disease that exhibits a high death rate among children, particularly in underdeveloped nations. It is noteworthy that the majority of affected persons are children below the age of five1. The primary etiological factors contributing to AGE are viral and bacterial infections. This study employs a literature review methodology to investigate the variations in microbiome composition between individuals diagnosed with AGE and those who are considered to be in good health. This article also presents an overview of prevalent viral infections that contribute to acute gastroenteritis (AGE) and provides strategies for its prevention. This paper presents a comprehensive analysis of various perspectives and empirical evidence pertaining to the intricate interplay between gut microbiota and viral pathogens, as well as potential strategies for mitigating viral infections.
Research on emergency medical care system in public health events based on Kano model
Authors: Qin Yuhan
Published: December 2023

In recent years, the frequency and impact of disease outbreaks in public health events have become increasingly prominent, and the effectiveness of the medical care system has become a key factor in meeting the challenges. Based on the Kano model, this paper aims to study the demand and expectation of the users of the emergency medical care system in public health events. Through the analysis of the user satisfaction and importance evaluation, this study deeply understands the users demand for the system, and puts forward the guidance of improvement and optimization. The findings are summarized as follows: the Kano model is a valuable tool, but its limitations and challenges need to be taken into account; future research can combine big data and artificial intelligence technologies, taking into account psychosocial factors, the introduction of user participatory design and interdisciplinary collaborative research to enhance user experience and satisfaction. This study provides a scientific basis for the improvement and optimization of emergency medical care system in public health events, and has important practical significance.
Review of the association between non-coding RNAs and environmental exposure
Authors: Wang Dongyue
Published: December 2023

Disease development is a consequence of the combination of genetic and environmental factors. Epigenetics can regulate gene expression without altering DNA sequence. There are different types of epigenetic regulation, including DNA methylation, histone modification and non-coding RNAs. Research has shown epigenetic regulation plays an essential role in environmental exposure and disease development. The role of DNA methylation and histone modification is well characterized so far. While the importance of non-coding RNA in disease development has gained more attention recently, the elucidation of the exposure-non coding RNA-disease pathway is still under much investigation. This review aims to provide a general review of ncRNA functions, focusing on research progress highlighting the association between a variety of exposure and non-coding RNAs and the hope of demonstrating how non-coding RNA can serve as biomarkers for preventive and therapeutic goals upon environmental exposure.
Predicting the risk of stroke based on machine learning
Authors: Jiang Jingyang
Published: December 2023

Stroke, the second largest leading cause of death among all chronic diseases, is affecting about 101 million people in the world currently. It is estimated that this number of stroke cases will increase by 2.25 by the year 2050. Considering the large number of potential patients with stroke, a mathematical model is designed to predict ones risk of having a stroke in the future based on ones basic health data using machinery methods. Using the algorithm of Logistic Regression, the model reaches an accuracy of 92.28% when predicting whether one has a stroke, the model also validates that hypertension is the leading cause of the incidence of stroke by finding out the highest correlation value among all the feature variables. People who would like to know their probability of having a stroke can use the model, then they can have some precautionary measures to lower the likelihood of happening of stroke based on the prediction given, which helps save the medical costs and overuse of medical resources. Governments can enact policies and allocate medical resources based on the predictions made by the model.
The synthetic routes of sorafenib and its applications on hepatocellular carcinoma
Authors: Xu Zihan
Published: December 2023

Cancer stands as the second leading cause of global mortality, with a staggering one in five individuals worldwide facing a cancer diagnosis in their lifetime. Addressing cancer prevention has emerged as a significant issue in the field of public health in the 21st century. Hepatocellular carcinoma (HCC) - the primary liver cancer type - not only ranks as one of the top five most frequent cancers globally, but also distressingly represents the fourth leading cause of cancer-related deaths. Notably, it claims the top spot in cancer-related mortality worldwide. Hepatocellular carcinoma is characterized by its high incidence, swift progression, recurrent nature, proclivity for metastasis, and distressingly high mortality rate. A significant proportion of cases trace a three-step path, hepatitis B infection leading to cirrhosis culminating in hepatocellular carcinoma. Sorafenib, a multi-targeted kinase inhibitor, offers promise in combatting this formidable adversary. It works by inhibiting key targets like vascular endothelial growth factor receptors (VEGFR1, VEGFR2, VEGFR3), platelet-derived growth factor receptor (PDGFR-), and RAF family kinases, which contributes to its healing effects. This article delves into the synthetic pathway of sorafenib, elucidating its impactful role in cancer treatment, and expounds on its advantageous attributes.
Flavonoids and the gut microbiota: A promising frontier for colorectal cancer prevention and intervention
Authors: Lu Everett
Published: December 2023

Colorectal cancer (CRC) is a formidable global health challenge, with increasing incidence rates and significant mortality. Flavonoids, known for their antioxidant properties, a class of polyphenolic compounds found in various dietary sources, exert multifaceted effects on gut microbiota composition, short-chain fatty acids (SCFAs) production, inflammation mitigation, and gut barrier enhancement. Moreover, they demonstrate promise in countering DNA damage induced by microbial toxins and modulating metabolic processes. Animal studies and clinical trials revealed changes in gut microbiota composition in CRC. However, the translational application of flavonoids to treat CRC through modifying gut microbiota requires further research. This review paper delves into the intricate relationship between flavonoids, and gut microbiota, with a particular focus on their potential in CRC prevention. This paper discusses the complex mechanisms through which flavonoids influence CRC development and highlights their potential in shaping dietary strategies for cancer prevention. In the midst of the rising CRC burden, flavonoids offer a hopeful link between dietary choices and improved health outcomes, paving the way for a healthier, cancer-free future.