bluuebunny/crossref_metadata_2025 huggingface dataset:
Etlik piliçlerde taşıma stresinin göğüs eti kalite özellikleri üzerine etkisinin belirlenmesi: meta-analiz
Authors: GÜLER Hüseyin Cem , ŞEREMET TUĞALAY Çiğdem
Published: September 2022

Amaç: Bu çalışmanın amacı, mevcut konudaki çok sayıda deneysel çalışmanın sonuçlarının sentezlenerek, taşıma stresinin bazı et kalite özellikleri üzerindeki gerçek etkisinin meta-analizi ile belirlenmesidir.
Materyal ve Yöntem: Çalışmaya esas oluşturacak makalelerin seçimi, Google Akademik veri tabanı kullanılarak sistematik bir literatür taraması yoluyla belirlenmiş ve seçme kriterlerini karşılayan toplam 13 makale meta-analizine dahil edilmiştir. Arama sadece tek bir tür (etlik piliç) olarak sınırlandırılmış ve diğer kanatlı türleri çalışmaya dahil edilmemiştir. Taşıma stresi ve kontrol grubu arasındaki farkın önemliliğinin belirlenmesi amacıyla etki büyüklükleri hesaplanmıştır. Çalışmalar arasındaki heterojenliğin belirlenmesinde Q istatistiği kullanılmıştır.
Araştırma Bulguları: Tahminlenen etki büyüklüğü değerleri için anlamlı farklılık damla kaybında saptanmış olup, rastgele modele göre belirlenen etki büyüklüğü istatistiki olarak önemli (p<0.05) ve orta düzeye yakın (EBDK= 0.416) olarak belirlenmiştir.
Sonuç: Araştırma sonuçları, etlik piliçlerin kesim öncesi farklı süre ya da mesafelerde taşıma stresine maruz kalmalarının göğüs eti kalite özellikleri üzerinde, damla kaybı hariç, önemli bir etkisinin olmadığını göstermiştir. Analizlere göre, göğüs eti damla kaybı için anlamlı farklılık belirlenmiş olup; bu sonuç taşıma stresinin göğüs eti damla kaybını artırarak et kalitesinde bir azalmaya neden olabileceğini göstermiştir.
Cortical cells, xylem vessels, and chlorophyll biosynthesis improved by acetylsalicylic acid and sodium nitroprusside in peach leaves
Authors: ARAS Servet
Published: September 2022

Objective: Water and nutrients are required for plant growth and development. Transport of water and nutrients from the roots to the shoots occurs in the xylem vessel. Acetylsalicylic acid (ASA) and sodium nitroprusside (SNP) play important roles in plant growth regulation. However, limited information is known about the relationship between SNP and ASA and leaf anatomy. Therefore, the current study was performed to evaluate the hypothesis that ASA and SNP improve leaf cortex and xylem anatomy and chlorophyll biosynthesis in peach.
Material and Methods: In the study, the roots of two-year-old peach (Prunus persica (L.) Batsch) cv. Rich May grafted onto GF 677 were treated with 1 mM SNP and 1 mM ASA (except control) through irrigation. One month after the treatments, many leaf histological responses and chlorophyll biosynthesis were evaluated.
Results: Both treatments increased stomatal conductance compared to control. Chlorophyll biosynthesis was influenced by the treatments. SNP and ASA increased the concentrations of the chlorophyll precursors compared to control. ASA increased cortex thickness by increasing the number of cortex cell layers. Thus, ASA can affect leaf cell division. Furthermore, SNP and ASA can enhance xylem conduits width.
Conclusion: Improvement in xylem conduits may help plants under stress conditions. Therefore, SNP and ASA may be used to improve nutrient and water uptake.
Türkiye’de koyun ırklarının mevcut durumu ve geleceği: Ege Bölgesi
Authors: TAŞKIN Turgay , KANDEMİR Çağrı
Published: September 2022

Amaç: Bu çalışmada, Ege Bölgesi’nde yer alan sekiz ilde yetiştirilen koyun ırklarının verim yönü, kuyruk yapısı ve orijin dikkate alınarak güncel veriler ile durum tespiti yapılmaktadır.
Materyal ve Metot: Araştırma, T.C. Tarım ve Orman Bakanlığına ait olan HAYBİS sistemi üzerinden 2021 yılında elde edilen verilere dayanmaktadır. Bu veriler, istatistikî bölge birimleri sınıflamasına göre Ege Bölgesi’nde yer alan illerin sahip oldukları koyun varlıkları üzerinden yapılmıştır.
Bulgular: Ege Bölgesi’nde koyun varlığı toplam 5.318.635 baştır. Yerli koyun ırklarının toplamı 4.876.130 baş iken ithal edilmiş koyun ırkları varlığı toplamı 442.505 baştır. Ege Bölgesi’nde 8 ile ait yerli koyun ırklarının ortalaması 607.011 baş olup bu sayı, kültür ırkı için 55.313 baştır. Kuyruk yapılarına göre sırasıyla; ince kuyruklu koyunlar için 5.024.734 baş, yağlı kuyruklu koyunlar için 236.837 baş ve yarım yağlı kuyruklu koyunlar için ise 57.064 baştır.
Sonuç: Sürdürülebilir koyun yetiştiriciliği yapabilmek adına bölgesel ve ülkesel koyun ıslah stratejileri geliştirilmelidir. Bunun yapılabilmesi için mevcut durumun tespit edilmesi ve bölgeler bazında sayılar ve oranların ortaya konulması gerekmektedir. Bu araştırma ile elde edilen rakamlar koyunculuk özelinde yapılacak tüm çalışmalar özellikle faydalı olacaktır. Irklar bazında yapılacak projelere yön gösterecektir.
A study on the comparison of kinetic energies calculated with some formulas using Fulljet nozzle
Authors: YONTER Gokcen , HOUNDONOUGBO Houndonougbo Marius
Published: September 2022

Objective: The objective of this study was to compare kinetic energies calculated by different formulas with Rose’s (reference) formula, using Fulljet type nozzle (½ HH-50 WSQ) at different pressures. Material and Methods: A platform in the dimension of 1x1 m was used to place 17 cups (250 cm3) and inclined at a slope of 9%. Then, artificial rainfalls (at pressures of 30, 40, 50, 60 and 70 kPa) was applied with a ½ HH-50 WSQ nozzle for 5 minutes and each experiment was triplicated. Drop diameter, rainfall intensities, terminal velocities were determined and kinetic energies were calculated with different equations. Results: In this study, it was found that rain intensities varied between 85- and 109 mm h-1, Christiansen coefficients (CU) (%) were 83-87 %, drop diameter (D50) were 1.77-2.05 mm, and terminal velocities were 6.08-6.67 m s-1. Average kinetic energies were also calculated between 9.94-46.59 J m-2 mm-1, respectively. Conclusions: The results obtained from this study (±5 %) were found to be in good agreement with the Rose (1960) formula and some kinetic energy formulas.
Fındık üretiminde maliyet ve kârlılık analizi, Giresun İli örneği
Authors: HAZNECİ Esin , NAYCI Emre , ÇELİKKAN Görkem
Published: September 2022

Amaç: Bu araştırmada, Türkiye fındık üretiminde ikinci sırada yer alan Giresun İli’nde fındık üretim faaliyetinin üretim yapısı analiz edilmeye çalışılmıştır.
Materyal ve Yöntem: Araştırma verileri Giresun ili Merkez ilçesi havzasında fındık yetiştiriciliği yapan 227 tarım işletmesi arasından basit tesadüfi örnekleme yönetimi ile seçilmiş 53 işletmeden anket yoluyla toplanmıştır. Fındık üretim maliyetinin belirlenmesinde tek ürün bütçe analiz yöntemi kullanılmış, fındık üretiminde brüt kâr ve net kâr hesaplanmıştır.
Araştırma Bulguları: Fındık yetiştiren tarım işletmeleri, fındık yetiştirmek üzere yaptıkları 1 TL’lik masrafa karşılık 0.97 TL elde etmektedir. Yapılan çalışma sonucunda üreticilerin devlet desteği olmadan fındık üretiminden zarar ettikleri, ancak desteklemelerle birlikte 1 kg kabuklu fındığın masraflarını karşılayabildikleri tespit edilmiştir. Üretici tarımsal desteklerle kâra geçmektedir.
Sonuç: Araştırma sonucunda üreticilerin en büyük sorununun, emek ve masraflarının karşılığını alamamak olduğu belirlenmiştir. Bu nedenle fındıkta sürdürülebilir politikalarla üreticilerin zarar etmesinin önüne geçilmesi önem arz etmektedir.
The reception of Roman Mithras in Transylvania in the 18th-19th century
Authors: Szabó Csaba
Published: September 2022

Transylvania became part of the Habsburg Empire in the late 17th century. Between 1686 and 1848, the region’s urban landscape was radically altered by several large-scale infrastructural and architectural projects that also uncovered a substantial amount of archaeological material from its Roman past. Construction of the Vauban fort and other major urban projects in Alba Iulia (Gyulafehérvár, Karlsburg) after 1711 contributed to the creation of the city’s first archaeological collection, established by Ignatius Batthyány in the late 18th century. This paper focuses on the first Mithraic finds from Alba Iulia, the Batthyaneum Library’s valuable collection and the role of Mithraic finds from Apulum in the history of Mithraic studies.
¿Un terrible cuestionario? Claves historiográficas de la autobiografía comunista de partido
Authors: Rueda Laffond José Carlos
Published: September 2022

El artículo se aproxima a diversos enfoques historiográficos centrados en el análisis de la autobiografía comunista de partido. La bio nació en la Unión Soviética y se consolidó desde los años treinta en las estructuras orgánicas de la Internacional Comunista y en numerosos partidos nacionales. Su carácter reservado y su conexión con otras prácticas estalinistas invita a interpretarla como un registro estandarizado de control y, llegado el caso, como una herramienta coercitiva. Sin embargo, otras perspectivas han destacado la ductilidad de sus usos e intencionalidades o su centralidad en el ecosistema vivencial propio de la subjetividad comunista.
El derecho pretérito de los pueblos
Authors: Rojas Agustín
Published: September 2022

A partir de un diálogo entre dos notorias subdisci­plinas, la historia cultural y la antropología jurídi­ca, el siguiente artículo explora reflexivamente las disputas que han involucrado recientemente a di­versos elencos e instituciones allegadas del Sur glo­bal en torno a reivindicaciones históricas, derecho de curatela, gestiones para facilitar restituciones y tensiones dentro de los organismos internaciona­les, concernientes a ciertos bienes culturales. Para ello se ponen en relieve y comparan cuatro deman­das puntuales contra el Museo Británico llevadas a cabo en los últimos años por parte de los estados de Chile, Egipto, Nigeria y Grecia reclamando la restitución de objetos que aseguran pertenecer al patrimonio cultural de sus comunidades. De este modo, es posible entrever los enormes desafíos jurídicos, históricos y ético-políticos que implica examinar disputas que abarcan horizontes polémi­cos y exigen definiciones contundentes en el mar­co de superposiciones de sistemas discordantes, lo que convierte a estos conflictos en querellas incó­modas y desafiantes para la comunidad internacio­nal en su conjunto.
¿En qué medida el terrorismo nacionaliza?
Authors: López Romo Raúl
Published: September 2022

El número de obras dedicadas al terrorismo vasco es ya muy amplio. En este artículo repasaremos un grupo de trabajos que aborda un problema concreto: la relación entre esa forma de violencia política y los procesos de nacionalización de masas. La mayoría de ellos son microanálisis, que es donde aún cabe aportar más investigación original, ya sea desde la historia o desde otras disciplinas. Nos detendremos en un caso concreto aún por analizar: la evolución de aquellas localidades vascas y navarras donde el tradicionalismo, con su componente católico militante y nacionalista español, obtenía en la década de 1930 unos excelentes resultados electorales. Tras el franquismo, en muchas de ellas se había pasado a votar ampliamente a una opción abertzale e izquierdista como HB, el brazo político de ETA.
Lettere e messaggi nel mondo delle migrazioni
Authors: Franzina Emilio
Published: September 2022

Attraverso una riflessione iniziale sul modo in cui nel volgere degli ultimi trent’anni è cambiato nella storiografia di settore, ma prima ancora presso più larghi pubblici, la percezione delle potenzialità espressive e documentarie delle lettere scambiate in varie parti del mondo dagli emigranti e dai loro corrispondenti tra i primi dell’Ottocento e i giorni nostri, cercandone le prove in una letteratura in continua espansione, il saggio esamina tipologie e modalità, finalità e chiavi linguistiche della comunicazione epistolare in particolare della “gente comune” (ma non solo) che ha infine trovato sia in Italia che altrove solide basi di sostegno nella nascita e nel funzionamento di importanti archivi della scrittura epistolare.
Le voci dei «senza storia»
Authors: Brezzi Camillo
Published: September 2022

Nel 1984, Saverio Tutino, famoso giornalista, decide di fondare a Pieve Santo Stefano, un piccolo paese della Toscana, un archivio finalizzato alla raccolta, conservazione catalogazione delle scritture della «gente comune» per evitare la dispersione di un patrimonio documentario unico. Il progetto, ha un riscontro decisamente positivo: il patrimonio vede un continuo incremento tanto da contare attualmente più di 9.000 testimonianze, inviate in prima persona dagli autori o dai loro familiari e amici. Pagine e pagine di diari, memorie, carteggi costituiscono un vero monumento nazionale della memoria e toccano diverse fasi storiche e tematiche. Negli ultimi anni, l’Archivio ha avviato una serie di iniziative che ne caratterizzano sempre più la specificità e ha stabilito un proficuo rapporto con il mondo universitario, dando vita a programmi di ricerca e a significative iniziative, nell’intento di porre i diari nel quadro del rinnovato dibattito scientifico prodotto dalle diverse discipline. L’Archivio è anche promotore di attività editoriali volte a coinvolgere non solo gli studiosi ma a un pubblico più ampio. Oltre alla conservazione e alla schedatura informatizzata, l’Archivio ha realizzato la digitalizzazione dei manoscritti, ha aperto portali e siti e ha dato vita al Piccolo museo del diario.
Turisztikai válságkommunikáció a hazai üzleti szállodákban a koronavírus-járvány idején
Authors: Sirkó Márta , Keller Krisztina
Published: September 2022

A tanulmány célja a hazai 4 csillagos üzleti szállodák koronavírus-járvány alatti válságkommunikációs folyamatának értékelése, illetve a járvány első és második hulláma alatt folytatott kommunikációjának összehasonlítása. A kvalitatív kutatás keretében 8 mélyinterjú készült a vizsgált szállodák kríziskommunikációért felelős munkatársaival Fall és Massey (2005) három lépcsős kríziskommunikációs modelljére építve, az előkészület, a válaszadás és a helyreállítás szakaszait vizsgálva. Az empirikus kutatás eredményeként elmondható, hogy habár a vizsgált szállodákat teljesen váratlanul érte a jelenlegi helyzet, a korábbi protokolljaikra, vis maior szerződéseikre és újonnan szerzett ismereteikre támaszkodva sikerült kidolgozniuk egy olyan kríziskommunikációs tervet, amelyet eredményesen tudtak alkalmazni a koronavírus-járvány alatt.
Evaluation of site-specific management to optimise Vitis vinifera L. (cv. Tannat) production in a vineyard with high heterogeneity
Authors: Pereyra Gustavo , Pellegrino Anne , Gaudin Remi , Ferrer Milka
Published: September 2022

The spatial variability of vineyards can be characterised through precision viticulture that will allow setting the boundaries of homogeneous management zones. This study aimed to evaluate the impact of soil and plant management (site-specific management) to increase yields and improve berry quality. During three consecutive seasons, contrasting treatments designed ad hoc for two zones of vigour pre-established by NDVI were tested: high vigour zone (HV) and low vigour zone (LV). The treatments were aimed at reducing water and nitrogen supply and improving microclimatic conditions in the cluster zone in the HV zone. In the LV zone, treatments were aimed at increasing water and nitrogen supply. Leaf removal in the HV zone was the most efficient treatment to improve productivity and quality. Moreover, the water restriction improved grape quality, especially in a rainy year. The regulated deficit irrigation strategy applied in the LV zone at specific phenological stages was shown to increase vegetative growth, yield and to improve grape anthocyanins and phenols contents. The benefits of additional nitrogen supply in the LV zone on plant nitrogen status, yield, and berry composition were highly dependent on water availability. Ultimately, this study provided new insights into the relationship between water and nitrogen availability and how this determines vigour and influences yield and grape quality and influences the deviation from a “Productive Target” pattern. The use of site-specific techniques could be adjusted on a small production scale, thanks to mapping carried out with precision viticulture technologies.
UAV-assisted WRSN Online Charging Strategy Based on Dynamic Queue and Improved K-means
Authors: Shan Tianle , Wang Yang , Zhao Chuanxin , Zou Rongyu , Sun Yanzhe
Published: September 2022

Aiming at the problem of low charging efficiency caused by the scattered sensor nodes in traditional wireless rechargeable sensor networks (WRSNs), a UAV-assisted WRSN Online Charging Strategy Based on Dynamic Queue and Improved K-means (UOCS) is proposed. The scheme assumes that the energy consumption of nodes is unpredictable, and only generates charging requests when the energy is lower than a threshold, and performs on-demand responses to nodes that issue charging requests. The scheme combines the characteristics of one-to-one charging of UAVs, the selection and allocation timing of waiting queues and the number of UAVs, and the improved K-means partitioning based on space-time coordination(SPKM), which simplifies the problem of coordinated charging of multiple UAVs and maximizes energy. Using the efficiency and charging success rate, the optimal charging trajectory can be found under the constraint that the node will not starve to death due to power shortage. Finally, a simulation comparison experiment is carried out with the existing UAV charging scheduling strategy. UOCS achieves the optimal node survival rate with low algorithm complexity.
Inherent Twitter-like Structure of Classical Religious Sources
Authors: Volkovich Zeew , Malka Raz , Avros Renata , Yamin Shoham
Published: September 2022

Classical religious texts remain an essential part of human culture due to their undiminished influence on the advancement of civilization. Although their entirely divine origin is questioned repeatedly, explicit or implicit quoting and adherence to their basic guidelines are fundamental in modern society. In this respect, these documents’ inner structure and linguistic style appear to be pivotal. This paper considers the topic from the standpoint of small textual patterns classified using deep learning methods, traditionally applied to analyze short textual material like tweets. We divide the considered documents into small sequential chunks imitating tweets and categorizing them, classifying an entire text. The proposed method demonstrates that the religious text collections correspond to stable ”Twitter”-like structures that adequately reflect stylistic properties. So, concise word combinations seem to be an inborn textual attribute that adequately outlines the proposed multi-source authorship. This approach differs from traditional methods of analyzing classical religious documents, which are based on the consideration and interpretation of relatively long templates. The case study consists of three famous collections of Mosaic authorship in the Old Testament (Hebrew), Pauline authorship in the New Testament (Greek), and Al-Ghazali authorship (Arabic). The obtained results go well with most previously expressed evaluations and complement them with new implications, particularly in the authorship of two famous manuscripts attributed to Al-Ghazali.
To Laugh or to Cry? Ambiguity and Humour in Jason's Graphic Novels
Authors: Novaković Nikola
Published: September 2022

The paper offers a reading of Jason’s use of sparsity, seriousness, and reduction as a concealment of a technique that is based on multifaceted ambiguity involving the blending of genres, a playfully intertextual attitude, and surprising emotional depth of character and story. It discusses the connection between humour and visual, textual, and structural ambiguity in Jason’s works, as well as ambivalence in the reader’s response, illustrates Jason’s combination of incongruous genres and simultaneous employment of motifs from children’s literature and various genre movies (such as science fiction, crime thrillers, heist movies, and horrors), and explores Jason’s technique of subverting expectations of comic relief by withholding certain structural parts of a joke (typically a punchline) or inserting an unexpected element (such as psychological depth).
Model Modernisasi Pendidikan Islam di Indonesia
Authors: Muhammad Heriyudanta
Published: September 2022

This paper intends to research and see how the development of modern Islamic education in the modern Islamic boarding school Darussalam Gontor, Ponorogo, East Java. This type of research is library research. The data is taken from various sources of scientific literature such as books, journals, and various types of scientific works that are relevant to the research study. While the approach uses a philosophical approach. The data collection techniques used documentation techniques, then analyzed using content analysis data analysis methods. In this study, it was found that the modernization breakthrough taken by the modern Islamic boarding school Darussalam Gontor was in two forms. First, in terms of the management and management of the institution, and the second in terms of modernizing the curriculum. The management of Gontor Islamic Boarding School by waqf is intended so that the pesantren can grow more advanced, be more open, and have no shortage of future generations. While the curriculum is modernized according to the needs of human nature itself as well as according to the needs of the times. This is marked by the provision of subject matter that teaches 100% general science and 100% religious knowledge, special emphasis on aspects of mastering foreign languages, and quite complete extracurricular facilities such as skills, sports, and arts. Therefore, the modern Islamic education development model developed by the modern Darussalam Gontor Islamic boarding school is worthy of being used as a pilot project in an effort to develop Islamic education in the contemporary era.
 
Keywords: Model, Modernisation, Islamic Education.
Implementasi Model Pembelajaran PAUD Berbasis Sentra dan Waktu Lingkaran dalam Meningkatkan Berbagai Aspek Perkembangan Anak
Authors: Wilis Werdiningsih
Published: September 2022

Early childhood education (PAUD) is an important stage for a child's early development. PAUD has a goal to facilitate the growth and development of children in a more measurable and comprehensive manner. A conducive environment in PAUD institutions has a positive impact on children's development. There are various kinds of learning models in early childhood, one of which is the center learning model and circle time (Beyond Centers and Circle Time/BCCT). The center learning model and the circle time or commonly referred to as the center model, is a model for implementing PAUD that focuses on children, which in the learning process is centered in the play center and uses four types of footings to support children's development. Therefore, in learning centers it is necessary to prepare for a center class and various equipment that supports learning activities in each center class. This study aims to explore in greater depth the implementation of the center-based PAUD learning model and circle time. The approach used in this study is a qualitative approach. Data obtained from interviews, observations, documentation and supported by various references related to the learning center model. The results show that the learning center model is one of the learning models that can increase student activity in learning activities, as well as improve various aspects of child development, including aspects of religious and moral values, physical-motor, cognitive, language, social-emotional, and artistic aspects.
 
Keywords: PAUD learning model, BCCT/central class, aspects of child development.
Multi-input Unet model based on the integrated block and the aggregation connection for MRI brain tumor segmentation
Authors: Fang Lingling , Wang Xin
Published: September 2022

Due to the unresectability of normal brain tissue and the extensive invasive growth of the malignant tumor, the boundary between the tumor and surrounding healthy brain tissue or blood vessels is blurred, which greatly affects the accuracy of diagnosis and treatment. Meanwhile, with the growth of data information and the development of computer equipment, it is extremely time-consuming and laborious to rely on the traditional manual segmentation of brain medical images. To solve the above problems, this paper proposes a multi-input Unet model based on the integrated block and the aggregation connection to achieve efficient and accurate segmentation of tumor structure. Besides, this paper studies two-dimensional (2D) transverse brain tumor slices to meet the needs of doctors in the actual diagnosis. It solves the low-resolution problem in sagittal and coronal planes, which can effectively improve memory efficiency. The proposed algorithm is innovative in three aspects. Firstly, by inputting the mask images which can effectively represent the tumor location characteristics, it can provide more information about the spatial relationship to alleviate the problems of fuzzy boundary and low contrast between the lesion region and healthy brain tissue. Then, the integrated block extracts the tumor local information in different receptive domains by a multi-scale convolution kernel. The aggregation connection realizes the implicit deep connection of context information, which combines the shallow and deep information of the brain with strong geometric spatial relationships. Meanwhile, to effectively alleviate the waste of memory resources caused by redundant and background information in medical images, the amount of calculation in model training is reduced by dimension reduction of the feature map. It can also overcome the gradient vanishing problem caused by network deepening. In this paper, an ablation experiment is used to verify the innovation of the proposed algorithm on the BraTS dataset, which compares with the state-of-the-art brain tumor segmentation methods. The accuracy of the proposed multi-input Unet model for the whole tumor and core lesion is 0.92 and 0.90, respectively.
Few-shot object detection model based on transfer learning and convolutional neural network
Authors: Hou Kaifa , Wang Hongmei , Li Jiayi
Published: September 2022

Object detection is an important research content in computer vision. Faster R-CNN has been widely used in object detection with large samples. Sample scarcity in practice makes it difficult for Faster R-CNN to extract effective feature and obtain high detection accuracy. In this paper, an improved few-shot object detection model is proposed based on Faster R-CNN. Transfer learning algorithm is applied to transfer trained weights of similar source datasets firstly. Then, attention mechanism is introduced and loss function is improved to construct the few-shot object detection model which has powerful generalization ability. Experimental results on PASCAL VOC dataset show that the proposed model can converge faster and the detection accuracy mAP reaches 79.1% which is 14.4% higher than that before the improvement. Compared with SSD and YOLO v3 network, the detection accuracy of the proposed model is also increased 31.4% and 13.1%, respectively.
Interval-Valued Fermatean Hesitant Fuzzy Sets and Infectious Diseases Application
Authors: Kirişci Murat , Simsek Necip
Published: September 2022

The Hesitant Fuzzy Set, a generalization of fuzzy sets, is a crucial tool for resolving the challenges associated with defining an element’s membership in a set when there is uncertainty regarding several separate values in decision-making situations. To ensure that the conditions under which experts evaluate an alternative in likely membership values and non-membership values are operational in this study, a Fermatean hesitant fuzzy set is provided. To implement multi-attributed group decision-making problems, new defined sets’ aggregate operators are defined. The primary characteristics of the new sets were investigated. Two interval-valued values are compared using a new score function and an accuracy function. Finally, a numerical example exemplifies the viability, applicability, and efficacy of the suggested approach.
Dynamic Predictive Scores for Cardiac Surgery-Associated Agitated Delirium: a single-center retrospective observational study
Authors: Tian Yu , Wang Jianhui , Wang Yuefu , Ji Bingyang , Diao Xiaolin , Wang Chunrong , Wang Weiwei , Gao Yuchen , Wang Sudena , Zhou Chun , Zhang Qiaoni , Gao Sizhe , Xu Xinyi , Liu Jia
Published: September 2022

Background
Prevention, screening, and early treatment are the mainstays of postoperative delirium management. Score system is an objective and effective tool to stratify potential delirium risk for patients undergoing cardiac surgery
Methods
Patients undergoing cardiac surgery from January 1, 2012, to January 1, 2019, were enrolled in our retrospective study. The patients were divided into a derivation cohort (n = 45,744) and a validation cohort (n = 11,436). The agitated delirium (AD) predictive systems were formulated using multivariate logistic regression analysis at three time points: preoperation, ICU admittance, and 24 hours after ICU admittance.
Results
The prevalence of AD after cardiac surgery in the whole cohort was 3.6% (2,085/57,180). The dynamic scoring system included preoperative LVEF ≤ 45%, serum creatinine > 100 umol/L, emergency surgery, coronary artery disease, hemorrhage volume > 600 mL, intraoperative platelet or plasma use, and postoperative LVEF ≤ 45%. The area under the receiver operating characteristic curve (AUC) values for AD prediction of 0.68 (preoperative), 0.74 (on the day of ICU admission), and 0.75 (postoperative). The Hosmer-Lemeshow test indicated that the calibration of the preoperative prediction model was poor (P = 0.01), whereas that of the pre- and intraoperative prediction model (P = 0.49) and the pre-, intra- and postoperative prediction model (P = 0.35) was good.
Conclusions
Using perioperative data, we developed a dynamic scoring system for predicting the risk of AD following cardiac surgery. The dynamic scoring system may improve early recognition of and interventions for AD.
Risk factors of recurrence and pregnancy in patients with borderline ovarian tumors: a retrospective study with 16-year follow-up
Authors: Lu Qi , Deng Yupeng , Zhang Zhiqiang , liu chongdong
Published: September 2022

Objective:This study analyzed the risk factors affecting recurrence in patients with borderline ovarian tumors （BOTs）after radical surgery and the risk factors influencing recurrence and pregnancy in patients after fertility sparing surgery (FSS).
Methods: This is a retrospective cohort study. Data was collected from clinical data of patients in the Beijing Chaoyang Hospital affiliated to Capital Medical University from January 2005 to November 2021. The clinicopathological and surgical variables were analyzed by univariate analyses and survival curves.
Results: A total of 169 BOT patients were included in this study. The median age was 45 years. Median follow-up time was 81months. Among these patients, 21 patients relapsed. There were 60 patients receiving FSS, of the 16 patients attempting to conceive, 13 patients have successfully conceived spontaneously. In univariate analyses, FIGO stage, invasive implantation, and chemotherapy were risk factors for recurrence of BOTs. FIGO stage was the only one risk factor after multivariate analysis. Tumor size and tumor site were risk factors for recurrence of BOTs receiving FSS. We didn’t find any risk factor for pregnancy of BOTs receiving FSS.
Conclusion: After univariate analysis and multivariate analysis, we found some risk factors for recurrence after radical surgery or FSS, but they didn’t affect the overall survival rate and pregnancy rate. Laparoscopy procedure is recommended and chemotherapy is not recommended for patients receiving FSS. We suggest that patients who preserve fertility should get pregnant as soon as possible and follow up closely.
Contrasting diversity and community composition of leaf- and root-associated bacterial communities from 13 tree species in a subtropical forest
Authors: Yang Hao , Zheng Yong , Yang Zhijie , Wang Quan-Cheng , Lü Peng-Peng , Hu Hang-Wei , Yang Yusheng , He Ji-Zheng
Published: September 2022

Deciphering the local diversity and community composition of plant-associated microorganisms is crucial to predict the ecological functioning in forest ecosystems. The differences in microbial diversity and community composition between tree’s aboveground and belowground compartments remain largely unknown. Here we examined the bacterial communities in the leaf surface and root-associated (root and rhizospheric soil) habitats of 13 tree species. The bacterial richness substantially differed across the three habitats, with the highest value observed in soil compartment. The variations of α-diversity (richness and diversity indices) amongst the 13 tree species were more obvious in leaf and soil habitats than in their corresponding roots. The community compositions were different across habitats and were significantly more divergent in leaf- than in root-associated habitats. Leaf nutrients and soil pH and NH4+-N were main factors influencing leaf- and root-related community compositions, respectively. This study highlights the contrasting diversity and community composition between leaf- and root-inhabiting bacteria. Our findings would improve understanding of the effect of compartments and tree identity on microbial diversity in the subtropical forest.
Socio-inspired Evolutionary Algorithms: A Unified Framework and Survey
Authors: Sharma Laxmikant , Chellapilla Vasantha Lakshmi , Chellapilla Patvardhan
Published: September 2022

Evolutionary computation has gone through vast and diverse research endeavors in the past few decades. Although the initial inspiration came from Darwin’s ideas of biological evolution, the field has moved thereon to ideas from the collective intelligence of insects, birds, and fish, to name a few. A variety of algorithms have been proposed in the literature based on these ideas and have been shown to perform well in various applications. More recently, inspiration from human behavior and knowledge exchange and transformation has given rise to a new evolutionary computing paradigm. It is well recognized that human societies and problem-solving capabilities have evolved much faster than biological evolution. Many research endeavors have been reported in the literature inspired by diverse aspects of human societies with corresponding terminologies to describe the algorithm. These endeavors have resulted in a plethora of algorithms worded differently from each other, but the underlying mechanisms could be more or less similar, causing immense confusion for a new reader. This paper presents a generalized framework for these Socio-inspired Evolutionary Algorithms (SIEAs) or Socio-inspired Metaheuristic Algorithms. A survey of various SIEAs is provided to highlight the working of these algorithms on a common framework, their variations and improved versions proposed in the literature, and their applications in various fields of search and optimization. The algorithmic description of each SIEA enables a clearer understanding of the similarities and differences between these methodologies. Efforts have been made to provide an extensive list of references with due context. In that sense, this paper could become an excellent reference as a starting point for anyone interested in this fascinating field of research.
Outcome of Patients with Soft Tissue Sarcomas of the Extremities and Trunk Treated by (Neo)adjuvant Intensity Modulated Radiation Therapy in Curative Intention
Authors: Dapper Hendrik , Hoyer Annika , Diehl Christian , Knebel Carolin , Mogler Carolin , Borm Kai , Görner Martin , Dobiasch Sophie , Combs Stephanie E. , Peeken Jan C.
Published: September 2022

BACKGROUND
Soft tissue sarcomas (STS) are a relatively rare group of malignant tumors. Currently, there is very little published clinical data, especially in the context of curative multimodal therapy with image-guided, conformal, intensity-modulated radiotherapy.
METHODS
Patients who received preoperative or postoperative intensity-modulated radiotherapy for STS of the extremities or trunk with curative intent were included in this single centre retrospective analysis. A Kaplan-Meier analysis was performed to evaluate survival endpoints. Multivariable proportional hazard models were used to investigate the association between survival endpoints and tumour-, patient-, and treatment-specific characteristics.
RESULTS
86 patients were included in the analysis. The most common histological subtypes were undifferentiated pleomorphic high-grade sarcoma (UPS) (27) and liposarcoma (22). More than two third of the patients received preoperative radiation therapy (72%). During the follow-up period, 39 patients (45%) suffered from some type of relapse, mainly remote (31%). The two-years overall survival rate was 88%. The median DFS was 48 months and the median DMFS was 51 months. Male gender (HR 0.460 (0.217; 0.973)) and histology of liposarcomas compared to UPS proved to be significantly more favorable in terms of DFS (HR 0.327 (0.126; 0.852)).
CONCLUSION
Conformal, intensity-modulated radiotherapy is an effective treatment modality in the preoperative or postoperative management of STS. Especially for the prevention of distant metastases, the establishment of modern systemic therapies or multimodal therapy approaches is necessary.
Long-term Benefits in Emergency Admissions, Hospitalization and Metabolic Control of an Integrated Continuous Glucose Monitoring and Insulin Pump System in a Cohort of Diabetic Patients
Authors: O´Meara Miguel Augusto , Mateus Juan Camilo , Uribe Andrea
Published: September 2022

Background: There is evidence in the literature that the use of sensor-augmented insulin pumps in patients with type 1 diabetes improves metabolic control. However, there is no long-term information on clinical outcomes such as hospitalization or admission to the emergency room.
Our paper describes the outcomes of metabolic control, incidence of hospitalizations and emergency room visits in a Colombian population using this technology.
Methods: A retrospective cohort study was carried out in patients with diabetes previously treated with an intensive insulin regimen at a specialized diabetes treatment center in Bogotá, Colombia, who required sensor-augmented insulin pumps due to poor metabolic control despite optimization of medical management. Glycated hemoglobin, severe hypoglycemic episodes, non-severe hypoglycemic episodes, perception of hypoglycemia, and the incidence of emergency room visits and hospitalizations before and after treatment were evaluated.
Results: Sixty-four patients with a median age of 36 years (interquartile range 27-46) were included in the study. We found statistical reduction of glycated hemoglobin (8.35% vs. 7%), non-severe hypoglycemic episodes (95.9% vs. 87.7%), emergency room visits (57.5%to 6.45%) and hospitalization (50% vs. 13.79%) in patients using CSII.
Conclusions: The use of sensor-augmented insulin pumps coupled with a strict follow-up program for patients with type 1 diabetes leads to a significant and sustained reduction in glycated hemoglobin and hypoglycemic episodes, as well as in the rate of emergency room visits and hospitalizations. These results encourage the adoption of this technology in patients who do not achieve metabolic control with optimal management of type 1 diabetes.
Exponential Decay for a Klein-Gordon-Schrödinger System with locally Distributed Damping
Authors: Poulou M. , Filippakis M. , Zanchetta J.
Published: September 2022

The following coupled damped Klein-Gordon-Schrödinger equations are considered
iψt + κψxx + iαb(x)ψ = φψχ(ω),
φtt − φxx + φ + λ(x)φt = −Reψxχ(ω),
where Ω is a bounded domain of R2, with smooth boundary Γ and ω is a neighbourhood of ∂Ω satisfying the geometric control condition. The aim of the paper is to prove the existence, uniqueness and uniform decay for the solutions following the ideas presented in the works of [1] and [2].
Mathematics Subject Classification (2010). 35B40, 35B45, 35Q55.
Gut Microbiome Variation in Pulmonary TB Patients with Diabetes or HIV Comorbidities
Authors: Morgan Portia Abena , Parbie Prince Kofi , Ntiamoah Desmond Opoku , Boadu Augustine Asare , Asare Prince , Lamptey Ivy Naa Koshie , Gorman Cecilia Nancy , Afreh Emmanuel , Asante-Poku Adwoa , Otchere Isaac Darko , Aboagye Sammy Yaw , YEBOAH-MANU DOROTHY
Published: September 2022

Background: The gut microbiota is known to play critical role in shaping the host immunity, and metabolism and influences the onset and progression of both communicable and non-communicable diseases. This study assessed the gut microbiome of tuberculosis (TB) cases with diabetes mellitus (DM) or HIV comorbidities before anti-TB therapy and after the intensive phase anti-TB therapy.
Methods: Ninety cases comprising 60 TB-only, 23 TB-DM, 7 TB-HIV were recruited, among which 35 TB-only, 10 TB-DM, 5 TB-HIV were also sampled after 2 months of anti-TB treatment. Total gut microbiome was detected by 16S rRNA gene sequencing of DNA extracted from collected stool specimen. The taxonomic and functional diversity of the different groups were compared in addition to changes that could occur after 2 months antibiotics use.
Results: Compared to the healthy controls, the gut microbiome of all the TB cohorts was characterized by a significant decreased alpha diversity and significant compositional changes. All the three TB cohorts were enriched with inflammatory related microorganisms of the genera Escherichia-shigella, Streptococcus, Enterococcus and Erysipelatoclostridiumwith depletion in beneficial taxa of the genera Faecalibacterium, Bifidobacteriumand Clostridium. In pairwise comparison with the healthy controls, the TB-only cohort were enriched with Streptococcus and Erysipelatoclostridium, the TB-DM enriched with Bacteroides, and TB-HIV enriched with Escherichia-shigella, Dialister and Erysipelatoclostridium. After the intensive phase anti-TB therapy, there was general enrichment of the genera Erysipelotrichaceae_UCG 003, Veillonella and Fusobacterium.
Conclusion: Our findings show a dysbiotic gut microbiome and associated increase in the number of inflammation related microorganism in gut of TB individuals with or without comorbidity.
Funding: European and Developing Countries Clinical Trials Partnership (EDCTP) Senior Fellowship to Dorothy Yeboah-Manu (TMA-2017-GSF-1942)
Photovoltaic Power Forecasting With a Long Short-Term Memory Autoencoder Networks
Authors: SABRI MOHAMMED , Hassouni Mohammed El
Published: September 2022

In many developed countries, photovoltaic solar power, which is considered the most cost-effective renewable energy source, accounts for a major portion of electricity production. The photovoltaic (PV) power generation are unpredictable and imprecise due to its high variation that can be caused of meteorological elements, to reduce the negative influence of the use of PV power, accurate PV power prediction is of crucial significance for the for the secure and efficient operation of photovoltaic power system operation. In light of this, we propose a long short-term memory (LSTM) autoencoder (AE) for photovoltaic power forecasting. Initially, to generate encoded sequences the LSTM-encoder extracts the characteristics from the input data. Then the LSTM-decoder decoded the encoded sequences to advance them to the last dense layer for photovoltaic power prediction. The results have confirmed that the LSTM-AE model can achieve better prediction accuracy than the benchmark deep learning methods, in terms of mean absolute error (MAE), mean square error (MSE), mean bias error (MBE), root mean square error (RMSE) and coefficient of determination (R \(^2\) ) performance measures. It can be seen that the proposed model predicts the PV power generation with the R$^2$ of 99.88 \(%\) , 99.98$%$, 99.86$%$, and 99.91$%$ for autumn, winter, spring, and summer, respectively. Furthermore, we conducted experiments using a 23.40 kW PV power plants dataset from DKASC in Australia and the results indicate that our proposed LSTM-AE model with the highest R$^2$ values and minimum forecasting errors compared to the benchmark models can effectively improve stable performance and achieve better accurate photovoltaic power forecasting.
Association of rare, recurrent nonsynonymous variants in the germline of prostate cancer patients of African ancestry
Authors: Xu Jianfeng , Wei Jun , Beebe-Dimmer Jennifer , Shi Zhuqing , Sample Christopher , Yan Guifang , Rifkin Andrew , Sadeghpour Azita , Gielzak Marta , Choi Sodam , Moon David , Zheng S. Lilly , Helfand Brian , Walsh Patrick , Cooney Kathleen , Isaacs William
Published: September 2022

Background: Although men of African ancestry (AA) have the highest mortality rate from prostate cancer (PCa), relatively little is known about the germline variants that are associated with PCa risk in AA men. The goal of this study is to systematically evaluate rare, recurrent nonsynonymous variants across the exome for their association with PCa in AA men.
Methods: Whole exome sequencing (WES) of germline DNA in two AA PCa patient cohorts of Johns Hopkins Hospital (N=960) and Wayne State University (N=747) was performed. All nonsynonymous variants presented in both case cohorts, with a carrier rate between 0.3% and 1%, were identified. Their carrier rates were compared with rates from 8,128 African/African American (AFR) control subjects from The Genome Aggregation Database (gnomAD) using Fisher’s exact test. Significant variants, defined as false discovery rate (FDR) adjusted p-value £0.05, were further evaluated in AA PCa cases (N=132) and controls (N=1,184) from the UK Biobank (UKB).
Results: Two variants reached a pre-specified statistical significance level. The first was p.R14Q in GPRC5C (found in 0.47% of PCa cases and 0.01% of population controls); odds ratio (OR) for PCa was 37.46 (95%CI 4.68-299.72), pexact=7.01E-06, FDR adjusted p-value=0.05. The second was p.R511Q in IGF1R (found in 0.53% of PCa cases and 0.01% of population controls); OR for PCa was 21.54 (95%CI 4.65-99.76), pexact=5.51E-06, FDR adjusted p-value=0.05. The mean percentage of African ancestry was similar between variant carriers and non-carriers of each variant, p>0.05. In the UKB AA men, GPRC5C R14Q was 0.76% and 0.08% in cases and controls, respectively, OR for PCa was 9.00 (95%CI 0.56-145.23), pexact =0.19. However, IGF1R R511Q was not found in cases or controls.
Conclusions: This WES study identified two rare, recurrent nonsynonymous PCa risk-associated variants in AA. Confirmation in additional large populations of AA PCa cases and controls is required.
A Photothermal-Response Oxygen Release Platform Based on Hydrogel for Accelerating Wound Healing
Authors: Jin Lin , Li Chunyang , He Xiaojun , Li Qingfeng , Lv Mingzhi , Shen Jianliang , He Deyan
Published: September 2022

During wound healing, oxygen availability and anti-inflammatory microenvironment play an important role inthe formation of new tissue. However, whether to provide continuous and controllable oxygen around the injured tissue while inhibiting inflammation, and realize the synergistic effect of oxygen supply and anti-inflammation, is still a major problem affecting the regeneration and repair of wound tissue. Inspired by skin wound pathology and theinflammatory microenvironment, a photothermal response-assisted strategy has been developed in this work. We prepared composite hydrogel system of PDA-HA (polydopamine-hyaluronic acid)hydrogel-loaded CaO2-ICG@LA@MnO2(calcium peroxide-indocyanine green@lauric acid@manganese dioxide)nanoparticles, which showed excellent photothermal performanceunder near-infrared (NIR) irradiation, and realized the on-off release of oxygen and reactive oxygen species (ROS). Controlled and sustained oxygen release can promote the regeneration and repair of damaged tissue, and the generated ROS can effectively inhibit the outbreak of inflammation at the initial stage of wound healing. We believethat the system we have obtained can be used as a new approach for treating chronic wound healing.